Run 2,000+ LLM/VLM benchmarks — across text, image, video, and audio — with a single command.
OmniEvaluator wires together 4 inference backends and 5 evaluation frameworks behind one CLI, so you don't have to learn (or reimplement) each framework separately. Existing evaluators stay interoperable through a shared intermediate schema, and every run emits a provenance-rich artifact that captures the full configuration needed to reproduce it.
Evaluating a model today usually means juggling several incompatible benchmark suites, each with its own data format, runner, and quirks. OmniEvaluator removes that friction.
huggingface, vllm, sglang, or an api client such as api/openai, api/gemini, api/claude) and an evaluation engine (builtin, lmms_eval, lm_eval_harness, vlm_eval_kit) — any combination runs from the same command shape.OmniEvaluator offers 2,820+ benchmarks across four evaluation engines and five modalities. Counts are based on base benchmarks and exclude variant counts. For example, evaluation-protocol variants (_zeroshot, _cot, _n_shot, _generative, _fewshot, _direct, …) and video-frame variants (_8frames, _64frames, _128frames) collapse into a single entry. Conversely, subset markers that identify a different benchmark (_pro, _redux, _hard, _diamond, _extended, _main, _mini, _v2) are preserved as independent entries.
| Evaluation Engine | Text | Image | Audio | Video | Total |
|---|---|---|---|---|---|
builtin | 5 | 13 | 25 | — | 43 |
lmms_eval | — | 401 | 5 | 10 | 416 |
lm_eval_harness | 1,986 | — | — | — | 1,986 |
vlm_eval_kit | — | 368 | — | 7 | 375 |
| All engines | 1,991 | 782 | 30 | 17 | 2,820 |
# List supported benchmarks
python run.py list --tasks --evaluation_engine="<engine_name>"
builtin — 43 benchmarks • Vision, document understanding, math, multi-image, audio, video, Korean benchmarkscharxiv_descriptive_validation, charxiv_reasoning_validation, clotho_aqa_test, cochlscene_test
common_voice_15_en_test, covost2_en2zh_test, covost2_zh2en_test, cruxeval_o_test
fleurs_en2ko_test, fleurs_en2zh_test, fleurs_en_test, fleurs_ko2en_test
fleurs_ko_test, fleurs_zh2en_test, fleurs_zh_test, gtzan_test
haerae_vision_dev, hike_test, hle_test, hmmt_nov_2025_test
imo_answer_bench_test, kdtcbench_test, kmmbench_dev, kmmstar_validation
kseed_test, librispeech_test_clean, librispeech_test_other, m3cot_test
meld_emotion_test, meld_sentiment_test, mmau_pro_test, mmau_test
mmau_test_mini, mmmu_validation, mmvet_test, mmvet_v2_test
mu_chomusic_test, omni_bench_test, polymath_en_test, vlms_are_biased_test
vocal_sound_test, voice_bench_test, zebralogic_mc_test
lmms_eval — 416 benchmarks • Multimodal benchmarks ([lmms-eval](https://github.com/EvolvingLMMs-Lab/lmms-eval))3dsrbench, ConBench, FALCONBench_mcq, FALCONBench_oq
VisualPuzzles, abench_dev, activitynetqa, ai2_arc
ai2d, ai2d_lite, aime24_agg8_reasoning, aime24_aldata_al_agg8
aime24_figures, aime24_nofigures, aime25_agg8_reasoning, aime25_aldata_al_agg8
aime25_nofigures, aime_2024_agg8, aime_2024_rebase, aime_figures
aime_nofigures, aime_reasoning, air_bench_chat, air_bench_foundation
alpaca_audio, amber_g, ami, anet_qa
arc_agi_1, arc_agi_2, arc_challenge, arc_easy
auxsolidmath, auxsolidmath_easy, auxsolidmath_hard, av_asr
av_odyssey, av_speakerbench_audio, av_speakerbench_audiovisual, av_speakerbench_visual
babyvision, background_test, blink, browsecomp
camera_test, camerabench_vqa, capability, captionqa
chain_of_thought, chartqa, chartqa_lite, chartqapro
charxiv, cinepile, clotho_aqa, clotho_asqa_test_v2
cmmmu, cn_college_listen_mcq_test, coco2014_cap, coco2017_cap
coco_cap, coco_caption, coco_caption2017, coco_karpathy
common_voice_15, corecognition, countbench, countbenchqa
countix, covost2, csbench, cuva
cv_bench, cvrr, d170_cn, d170_en
dc100_en, dc200_cn, detailcaps, detailed_test
docvqa, dream_tts_mcq_test, dtcbench, dude
dynamath_reasoning, egoplan, egosch_a, egoschema
egotempo, egothink, embspatial, emma
emma-mini, erqa, europal_asr, ferret
fgqa_test, fleurs, flickr30k, fsc147
funqa, gedit_bench, geometry3k, gigaspeech
gpqa, gpqa_diamond, gpqa_extended, gpqa_main
gqa, gqa-ru, gqa_lite, groundingme
gsm8k, hallusion_bench_image, hd_epic_vqa, hellaswag
hipho, hrbench, hrbench4k, hrbench8k
iconqa, ifeval, ii-bench, illusionbench
illusionvqa, imgedit, infovqa
jailbreak, jmmmu, jmmmu_pro, k12
kris_bench, lemonade, librispeech, live_bench
livexiv_tqa, livexiv_tqa_v2, livexiv_tqa_v3, livexiv_vqa
livexiv_vqa_v2, livexiv_vqa_v3, llava_bench_coco, llava_in_the_wild
llava_interleave_bench, llava_wilder_small, logicvista_reasoning, longtimescope
longvideobench_no_visual, longvideobench_random_choice, longvideobench_test_i, longvideobench_test_v
longvideobench_val_i, longvideobench_val_v, longvt, lsdbench
lvbench, main_object_test, mantis, math_word_problems
mathcanvas, mathkangaroo, mathverse, mathvision_reason_test
mathvision_reason_testmini, mathvision_test, mathvision_testmini, mathvista
medqa, megabench, mia_bench, mindcube_full
mindcube_tiny, minerva, mirb, mix_evals_audio2text
mix_evals_audio2text_hard, mix_evals_image2text, mix_evals_image2text_hard, mix_evals_video2text
mix_evals_video2text_hard, mle_bench, mlvu_dev, mlvu_test
mmaad_base, mmaad_instruction, mmaad_option, mmar
mmau, mmbench, mme, mmerealworld
mmerealworld_lite, mmiasd_base, mmiasd_instruction, mmiasd_option
mmie, mmivqd_base, mmivqd_instruction, mmivqd_option
mmlongbench, mmlu, mmlu_pro, mmmu
mmmu_pro, mmrefine, mmsearch, mmsi_bench
mmsi_video, mmstar, mmsu, mmt
mmupd, mmvet, mmvetv2, mmvp
mmvu_val, mmworld, motionbench, motionbench_full
moviechat_breakpoint, moviechat_global, mtvqa, muchomusic
muirbench, multidocvqa, multimodal_rewardbench, multiple_choice
mvbench, naturalbench, naverclip, neptune
neptune_full_i, neptune_full_v, nextqa, nocaps
o3, ocrbench, ocrbench_v2, officeqa
ok_vqa, olympiadbench, omni_bench, omnidocbench
omnispatial_test, open_asr_ami, open_asr_common_voice, open_asr_earnings22
open_asr_gigaspeech, open_asr_librispeech_test_clean, open_asr_librispeech_test_other, open_asr_spgispeech
open_asr_tedlium, open_asr_voxpopuli, openai_math, openasr
openhermes, openslr_librispeech, osi_bench, osworld_g
ovo_backward, ovo_forward, ovo_realtime, ovobench
ovr_kinetics, p3, paibench_u, people_speech_val
perceptiontest_test_mc, perceptiontest_test_mcppl, perceptiontest_val_mc, perceptiontest_val_mcppl
phyx, phyx_mini_mc, phyx_mini_oe, pixmo_count
pointbench, pope, pope_full, prismm_bench_identification
prismm_bench_pair_match, prismm_bench_remedy, public_eval_gemini3_family, public_eval_gpt5_family
public_eval_qwen3_5_family, public_eval_seed2_family, qbench2_dev, qbench_dev
qbenchs_dev, rcap_test, rdcap_test, realunify
realworldqa, redteam, refcoco, refcoco+
refcocog, refspatial, repcount, rewardbench
rtloc_test, saco_gold, safety, scibench
scienceqa, scienceqa_full, scivideobench, screenspot
screenspot_pro, screenspot_v2, seedbench, seedbench_lite
seephys, self_consistency, sgqa_test, short_test
simplevqa, site_bench_image, site_bench_video, snsbench
song_describer, sparbench, sparbench_tiny, spatial457
spatialtreebench, spatialviz_full, ssv2, stare_2d_text_instruct
stare_2d_va, stare_3d_text_instruct, stare_3d_va, stare_folding_nets
stare_full, stare_perspective, stare_tangram_puzzle, stare_temporal
step2_audio_paralinguistic, structeditbench, stvqa, super_gpqa
synthdog, tau2_bench_telecom, tedlium_dev_test, tedlium_long_form
tempcompass, temporal_grounding_charades, temporalbench, textcaps
textvqa, timescope, tomato, tvbench
ueval, uni_mmmu, vatex, vcr_wiki_en_easy
vcr_wiki_en_hard, vcr_wiki_zh_easy, vcr_wiki_zh_hard, vending_bench2
vggsound, vibe_eval, video_dc499, video_mmmu
video_qa, videochatgpt, videoevalpro, videomathqa_mbin
videomathqa_mcq, videomme, videott_all, videott_correctly_led_oe
videott_no_leading_oe, videott_paraphrase_oe, videott_single_mc, videott_wrongly_led_oe
viewspatial, vinoground, visres_bench, visual_reasoning_collection
visualwebbench_action_ground, visualwebbench_action_prediction, visualwebbench_element_ground, visualwebbench_element_ocr
visualwebbench_heading_ocr, visualwebbench_web_caption, visualwebbench_webqa, visulogic
vitatecs, viverbench, vizwiz_vqa, vl_rewardbench
vlms_are_biased, vlmsareblind, vlmsareblind_lite, vmcbench
vocalsound_test, vocalsound_val, voicebench, voxpopuli
vpct, vqav2, vsibench, vstar_bench
wavcaps, websrc, wemath_testmini_reasoning, wenet_speech
where2place, wildvision, worldqa, worldsense
worldvqa, xlrs-lite, youcook2_val, zerobench
lm_eval_harness — 1,986 benchmarks • Text-only benchmarks ([lm-evaluation-harness](https://github.com/EleutherAI/lm-evaluation-harness))20_newsgroups, AraDiCE, RC_tasks, aclue
acp_app_bool, acp_app_gen, acp_app_mcq, acp_areach_bool
acp_areach_gen, acp_areach_mcq, acp_bench, acp_bench_hard
acp_bool_cot_2shot, acp_gen_2shot, acp_just_bool, acp_just_gen
acp_just_mcq, acp_land_bool, acp_land_gen, acp_land_mcq
acp_mcq_cot_2shot, acp_nexta_gen, acp_prog_bool, acp_prog_gen
acp_prog_mcq, acp_reach_bool, acp_reach_gen, acp_reach_mcq
acp_val_bool, acp_val_gen, acp_val_mcq, adr
advanced_ai_risk, aexams, african_flores, african_ntrex
afridiacritics_bbj_prompt_1, afridiacritics_bbj_prompt_2, afridiacritics_bbj_prompt_3, afridiacritics_bbj_prompt_4
afridiacritics_bbj_prompt_5, afridiacritics_fon_prompt_1, afridiacritics_fon_prompt_2, afridiacritics_fon_prompt_3
afridiacritics_fon_prompt_4, afridiacritics_fon_prompt_5, afridiacritics_ibo_prompt_1, afridiacritics_ibo_prompt_2
afridiacritics_ibo_prompt_3, afridiacritics_ibo_prompt_4, afridiacritics_ibo_prompt_5, afridiacritics_wol_prompt_1
afridiacritics_wol_prompt_2, afridiacritics_wol_prompt_3, afridiacritics_wol_prompt_4, afridiacritics_wol_prompt_5
afridiacritics_yor_prompt_1, afridiacritics_yor_prompt_2, afridiacritics_yor_prompt_3, afridiacritics_yor_prompt_4
afridiacritics_yor_prompt_5, afrimgsm-irokobench, afrimgsm_amh_prompt_1, afrimgsm_amh_prompt_2
afrimgsm_amh_prompt_3, afrimgsm_amh_prompt_4, afrimgsm_amh_prompt_5, afrimgsm_cot-irokobench
afrimgsm_cot_amh_prompt_1, afrimgsm_cot_amh_prompt_2, afrimgsm_cot_amh_prompt_3, afrimgsm_cot_amh_prompt_4
afrimgsm_cot_amh_prompt_5, afrimgsm_cot_eng_prompt_1, afrimgsm_cot_eng_prompt_2, afrimgsm_cot_eng_prompt_3
afrimgsm_cot_eng_prompt_4, afrimgsm_cot_eng_prompt_5, afrimgsm_cot_ewe_prompt_1, afrimgsm_cot_ewe_prompt_2
afrimgsm_cot_ewe_prompt_3, afrimgsm_cot_ewe_prompt_4, afrimgsm_cot_ewe_prompt_5, afrimgsm_cot_fra_prompt_1
afrimgsm_cot_fra_prompt_2, afrimgsm_cot_fra_prompt_3, afrimgsm_cot_fra_prompt_4, afrimgsm_cot_fra_prompt_5
afrimgsm_cot_hau_prompt_1, afrimgsm_cot_hau_prompt_2, afrimgsm_cot_hau_prompt_3, afrimgsm_cot_hau_prompt_4
afrimgsm_cot_hau_prompt_5, afrimgsm_cot_ibo_prompt_1, afrimgsm_cot_ibo_prompt_2, afrimgsm_cot_ibo_prompt_3
afrimgsm_cot_ibo_prompt_4, afrimgsm_cot_ibo_prompt_5, afrimgsm_cot_kin_prompt_1, afrimgsm_cot_kin_prompt_2
afrimgsm_cot_kin_prompt_3, afrimgsm_cot_kin_prompt_4, afrimgsm_cot_kin_prompt_5, afrimgsm_cot_lin_prompt_1
afrimgsm_cot_lin_prompt_2, afrimgsm_cot_lin_prompt_3, afrimgsm_cot_lin_prompt_4, afrimgsm_cot_lin_prompt_5
afrimgsm_cot_lug_prompt_1, afrimgsm_cot_lug_prompt_2, afrimgsm_cot_lug_prompt_3, afrimgsm_cot_lug_prompt_4
afrimgsm_cot_lug_prompt_5, afrimgsm_cot_orm_prompt_1, afrimgsm_cot_orm_prompt_2, afrimgsm_cot_orm_prompt_3
afrimgsm_cot_orm_prompt_4, afrimgsm_cot_orm_prompt_5, afrimgsm_cot_sna_prompt_1, afrimgsm_cot_sna_prompt_2
afrimgsm_cot_sna_prompt_3, afrimgsm_cot_sna_prompt_4, afrimgsm_cot_sna_prompt_5, afrimgsm_cot_sot_prompt_1
afrimgsm_cot_sot_prompt_2, afrimgsm_cot_sot_prompt_3, afrimgsm_cot_sot_prompt_4, afrimgsm_cot_sot_prompt_5
afrimgsm_cot_swa_prompt_1, afrimgsm_cot_swa_prompt_2, afrimgsm_cot_swa_prompt_3, afrimgsm_cot_swa_prompt_4
afrimgsm_cot_swa_prompt_5, afrimgsm_cot_tasks, afrimgsm_cot_translate_amh_prompt_1, afrimgsm_cot_translate_amh_prompt_2
afrimgsm_cot_translate_amh_prompt_3, afrimgsm_cot_translate_amh_prompt_4, afrimgsm_cot_translate_amh_prompt_5, afrimgsm_cot_translate_ewe_prompt_1
afrimgsm_cot_translate_ewe_prompt_2, afrimgsm_cot_translate_ewe_prompt_3, afrimgsm_cot_translate_ewe_prompt_4, afrimgsm_cot_translate_ewe_prompt_5
afrimgsm_cot_translate_fra_prompt_1, afrimgsm_cot_translate_fra_prompt_2, afrimgsm_cot_translate_fra_prompt_3, afrimgsm_cot_translate_fra_prompt_4
afrimgsm_cot_translate_fra_prompt_5, afrimgsm_cot_translate_hau_prompt_1, afrimgsm_cot_translate_hau_prompt_2, afrimgsm_cot_translate_hau_prompt_3
afrimgsm_cot_translate_hau_prompt_4, afrimgsm_cot_translate_hau_prompt_5, afrimgsm_cot_translate_ibo_prompt_1, afrimgsm_cot_translate_ibo_prompt_2
afrimgsm_cot_translate_ibo_prompt_3, afrimgsm_cot_translate_ibo_prompt_4, afrimgsm_cot_translate_ibo_prompt_5, afrimgsm_cot_translate_kin_prompt_1
afrimgsm_cot_translate_kin_prompt_2, afrimgsm_cot_translate_kin_prompt_3, afrimgsm_cot_translate_kin_prompt_4, afrimgsm_cot_translate_kin_prompt_5
afrimgsm_cot_translate_lin_prompt_1, afrimgsm_cot_translate_lin_prompt_2, afrimgsm_cot_translate_lin_prompt_3, afrimgsm_cot_translate_lin_prompt_4
afrimgsm_cot_translate_lin_prompt_5, afrimgsm_cot_translate_lug_prompt_1, afrimgsm_cot_translate_lug_prompt_2, afrimgsm_cot_translate_lug_prompt_3
afrimgsm_cot_translate_lug_prompt_4, afrimgsm_cot_translate_lug_prompt_5, afrimgsm_cot_translate_orm_prompt_1, afrimgsm_cot_translate_orm_prompt_2
afrimgsm_cot_translate_orm_prompt_3, afrimgsm_cot_translate_orm_prompt_4, afrimgsm_cot_translate_orm_prompt_5, afrimgsm_cot_translate_sna_prompt_1
afrimgsm_cot_translate_sna_prompt_2, afrimgsm_cot_translate_sna_prompt_3, afrimgsm_cot_translate_sna_prompt_4, afrimgsm_cot_translate_sna_prompt_5
afrimgsm_cot_translate_sot_prompt_1, afrimgsm_cot_translate_sot_prompt_2, afrimgsm_cot_translate_sot_prompt_3, afrimgsm_cot_translate_sot_prompt_4
afrimgsm_cot_translate_sot_prompt_5, afrimgsm_cot_translate_swa_prompt_1, afrimgsm_cot_translate_swa_prompt_2, afrimgsm_cot_translate_swa_prompt_3
afrimgsm_cot_translate_swa_prompt_4, afrimgsm_cot_translate_swa_prompt_5, afrimgsm_cot_translate_twi_prompt_1, afrimgsm_cot_translate_twi_prompt_2
afrimgsm_cot_translate_twi_prompt_3, afrimgsm_cot_translate_twi_prompt_4, afrimgsm_cot_translate_twi_prompt_5, afrimgsm_cot_translate_vai_prompt_1
afrimgsm_cot_translate_vai_prompt_2, afrimgsm_cot_translate_vai_prompt_3, afrimgsm_cot_translate_vai_prompt_4, afrimgsm_cot_translate_vai_prompt_5
afrimgsm_cot_translate_wol_prompt_1, afrimgsm_cot_translate_wol_prompt_2, afrimgsm_cot_translate_wol_prompt_3, afrimgsm_cot_translate_wol_prompt_4
afrimgsm_cot_translate_wol_prompt_5, afrimgsm_cot_translate_xho_prompt_1, afrimgsm_cot_translate_xho_prompt_2, afrimgsm_cot_translate_xho_prompt_3
afrimgsm_cot_translate_xho_prompt_4, afrimgsm_cot_translate_xho_prompt_5, afrimgsm_cot_translate_yor_prompt_1, afrimgsm_cot_translate_yor_prompt_2
afrimgsm_cot_translate_yor_prompt_3, afrimgsm_cot_translate_yor_prompt_4, afrimgsm_cot_translate_yor_prompt_5, afrimgsm_cot_translate_zul_prompt_1
afrimgsm_cot_translate_zul_prompt_2, afrimgsm_cot_translate_zul_prompt_3, afrimgsm_cot_translate_zul_prompt_4, afrimgsm_cot_translate_zul_prompt_5
afrimgsm_cot_twi_prompt_1, afrimgsm_cot_twi_prompt_2, afrimgsm_cot_twi_prompt_3, afrimgsm_cot_twi_prompt_4
afrimgsm_cot_twi_prompt_5, afrimgsm_cot_vai_prompt_1, afrimgsm_cot_vai_prompt_2, afrimgsm_cot_vai_prompt_3
afrimgsm_cot_vai_prompt_4, afrimgsm_cot_vai_prompt_5, afrimgsm_cot_wol_prompt_1, afrimgsm_cot_wol_prompt_2
afrimgsm_cot_wol_prompt_3, afrimgsm_cot_wol_prompt_4, afrimgsm_cot_wol_prompt_5, afrimgsm_cot_xho_prompt_1
afrimgsm_cot_xho_prompt_2, afrimgsm_cot_xho_prompt_3, afrimgsm_cot_xho_prompt_4, afrimgsm_cot_xho_prompt_5
afrimgsm_cot_yor_prompt_1, afrimgsm_cot_yor_prompt_2, afrimgsm_cot_yor_prompt_3, afrimgsm_cot_yor_prompt_4
afrimgsm_cot_yor_prompt_5, afrimgsm_cot_zul_prompt_1, afrimgsm_cot_zul_prompt_2, afrimgsm_cot_zul_prompt_3
afrimgsm_cot_zul_prompt_4, afrimgsm_cot_zul_prompt_5, afrimgsm_eng_prompt_1, afrimgsm_eng_prompt_2
afrimgsm_eng_prompt_3, afrimgsm_eng_prompt_4, afrimgsm_eng_prompt_5, afrimgsm_ewe_prompt_1
afrimgsm_ewe_prompt_2, afrimgsm_ewe_prompt_3, afrimgsm_ewe_prompt_4, afrimgsm_ewe_prompt_5
afrimgsm_fra_prompt_1, afrimgsm_fra_prompt_2, afrimgsm_fra_prompt_3, afrimgsm_fra_prompt_4
afrimgsm_fra_prompt_5, afrimgsm_hau_prompt_1, afrimgsm_hau_prompt_2, afrimgsm_hau_prompt_3
afrimgsm_hau_prompt_4, afrimgsm_hau_prompt_5, afrimgsm_ibo_prompt_1, afrimgsm_ibo_prompt_2
afrimgsm_ibo_prompt_3, afrimgsm_ibo_prompt_4, afrimgsm_ibo_prompt_5, afrimgsm_kin_prompt_1
afrimgsm_kin_prompt_2, afrimgsm_kin_prompt_3, afrimgsm_kin_prompt_4, afrimgsm_kin_prompt_5
afrimgsm_lin_prompt_1, afrimgsm_lin_prompt_2, afrimgsm_lin_prompt_3, afrimgsm_lin_prompt_4
afrimgsm_lin_prompt_5, afrimgsm_lug_prompt_1, afrimgsm_lug_prompt_2, afrimgsm_lug_prompt_3
afrimgsm_lug_prompt_4, afrimgsm_lug_prompt_5, afrimgsm_orm_prompt_1, afrimgsm_orm_prompt_2
afrimgsm_orm_prompt_3, afrimgsm_orm_prompt_4, afrimgsm_orm_prompt_5, afrimgsm_sna_prompt_1
afrimgsm_sna_prompt_2, afrimgsm_sna_prompt_3, afrimgsm_sna_prompt_4, afrimgsm_sna_prompt_5
afrimgsm_sot_prompt_1, afrimgsm_sot_prompt_2, afrimgsm_sot_prompt_3, afrimgsm_sot_prompt_4
afrimgsm_sot_prompt_5, afrimgsm_swa_prompt_1, afrimgsm_swa_prompt_2, afrimgsm_swa_prompt_3
afrimgsm_swa_prompt_4, afrimgsm_swa_prompt_5, afrimgsm_tasks, afrimgsm_translate_amh_prompt_1
afrimgsm_translate_amh_prompt_2, afrimgsm_translate_amh_prompt_3, afrimgsm_translate_amh_prompt_4, afrimgsm_translate_amh_prompt_5
afrimgsm_translate_ewe_prompt_1, afrimgsm_translate_ewe_prompt_2, afrimgsm_translate_ewe_prompt_3, afrimgsm_translate_ewe_prompt_4
afrimgsm_translate_ewe_prompt_5, afrimgsm_translate_fra_prompt_1, afrimgsm_translate_fra_prompt_2, afrimgsm_translate_fra_prompt_3
afrimgsm_translate_fra_prompt_4, afrimgsm_translate_fra_prompt_5, afrimgsm_translate_hau_prompt_1, afrimgsm_translate_hau_prompt_2
afrimgsm_translate_hau_prompt_3, afrimgsm_translate_hau_prompt_4, afrimgsm_translate_hau_prompt_5, afrimgsm_translate_ibo_prompt_1
afrimgsm_translate_ibo_prompt_2, afrimgsm_translate_ibo_prompt_3, afrimgsm_translate_ibo_prompt_4, afrimgsm_translate_ibo_prompt_5
afrimgsm_translate_kin_prompt_1, afrimgsm_translate_kin_prompt_2, afrimgsm_translate_kin_prompt_3, afrimgsm_translate_kin_prompt_4
afrimgsm_translate_kin_prompt_5, afrimgsm_translate_lin_prompt_1, afrimgsm_translate_lin_prompt_2, afrimgsm_translate_lin_prompt_3
afrimgsm_translate_lin_prompt_4, afrimgsm_translate_lin_prompt_5, afrimgsm_translate_lug_prompt_1, afrimgsm_translate_lug_prompt_2
afrimgsm_translate_lug_prompt_3, afrimgsm_translate_lug_prompt_4, afrimgsm_translate_lug_prompt_5, afrimgsm_translate_orm_prompt_1
afrimgsm_translate_orm_prompt_2, afrimgsm_translate_orm_prompt_3, afrimgsm_translate_orm_prompt_4, afrimgsm_translate_orm_prompt_5
afrimgsm_translate_sna_prompt_1, afrimgsm_translate_sna_prompt_2, afrimgsm_translate_sna_prompt_3, afrimgsm_translate_sna_prompt_4
afrimgsm_translate_sna_prompt_5, afrimgsm_translate_sot_prompt_1, afrimgsm_translate_sot_prompt_2, afrimgsm_translate_sot_prompt_3
afrimgsm_translate_sot_prompt_4, afrimgsm_translate_sot_prompt_5, afrimgsm_translate_swa_prompt_1, afrimgsm_translate_swa_prompt_2
afrimgsm_translate_swa_prompt_3, afrimgsm_translate_swa_prompt_4, afrimgsm_translate_swa_prompt_5, afrimgsm_translate_twi_prompt_1
afrimgsm_translate_twi_prompt_2, afrimgsm_translate_twi_prompt_3, afrimgsm_translate_twi_prompt_4, afrimgsm_translate_twi_prompt_5
afrimgsm_translate_wol_prompt_1, afrimgsm_translate_wol_prompt_2, afrimgsm_translate_wol_prompt_3, afrimgsm_translate_wol_prompt_4
afrimgsm_translate_wol_prompt_5, afrimgsm_translate_xho_prompt_1, afrimgsm_translate_xho_prompt_2, afrimgsm_translate_xho_prompt_3
afrimgsm_translate_xho_prompt_4, afrimgsm_translate_xho_prompt_5, afrimgsm_translate_yor_prompt_1, afrimgsm_translate_yor_prompt_2
afrimgsm_translate_yor_prompt_3, afrimgsm_translate_yor_prompt_4, afrimgsm_translate_yor_prompt_5, afrimgsm_translate_zul_prompt_1
afrimgsm_translate_zul_prompt_2, afrimgsm_translate_zul_prompt_3, afrimgsm_translate_zul_prompt_4, afrimgsm_translate_zul_prompt_5
afrimgsm_tt-irokobench, afrimgsm_tt_cot-irokobench, afrimgsm_tt_cot_tasks, afrimgsm_tt_tasks
afrimgsm_twi_prompt_1, afrimgsm_twi_prompt_2, afrimgsm_twi_prompt_3, afrimgsm_twi_prompt_4
afrimgsm_twi_prompt_5, afrimgsm_vai_prompt_1, afrimgsm_vai_prompt_2, afrimgsm_vai_prompt_3
afrimgsm_vai_prompt_4, afrimgsm_vai_prompt_5, afrimgsm_wol_prompt_1, afrimgsm_wol_prompt_2
afrimgsm_wol_prompt_3, afrimgsm_wol_prompt_4, afrimgsm_wol_prompt_5, afrimgsm_xho_prompt_1
afrimgsm_xho_prompt_2, afrimgsm_xho_prompt_3, afrimgsm_xho_prompt_4, afrimgsm_xho_prompt_5
afrimgsm_yor_prompt_1, afrimgsm_yor_prompt_2, afrimgsm_yor_prompt_3, afrimgsm_yor_prompt_4
afrimgsm_yor_prompt_5, afrimgsm_zul_prompt_1, afrimgsm_zul_prompt_2, afrimgsm_zul_prompt_3
afrimgsm_zul_prompt_4, afrimgsm_zul_prompt_5, afrimmlu-irokobench, afrimmlu_direct_amh_prompt_1
afrimmlu_direct_amh_prompt_2, afrimmlu_direct_amh_prompt_3, afrimmlu_direct_amh_prompt_4, afrimmlu_direct_amh_prompt_5
afrimmlu_direct_eng_prompt_1, afrimmlu_direct_eng_prompt_2, afrimmlu_direct_eng_prompt_3, afrimmlu_direct_eng_prompt_4
afrimmlu_direct_eng_prompt_5, afrimmlu_direct_ewe_prompt_1, afrimmlu_direct_ewe_prompt_2, afrimmlu_direct_ewe_prompt_3
afrimmlu_direct_ewe_prompt_4, afrimmlu_direct_ewe_prompt_5, afrimmlu_direct_fra_prompt_1, afrimmlu_direct_fra_prompt_2
afrimmlu_direct_fra_prompt_3, afrimmlu_direct_fra_prompt_4, afrimmlu_direct_fra_prompt_5, afrimmlu_direct_hau_prompt_1
afrimmlu_direct_hau_prompt_2, afrimmlu_direct_hau_prompt_3, afrimmlu_direct_hau_prompt_4, afrimmlu_direct_hau_prompt_5
afrimmlu_direct_ibo_prompt_1, afrimmlu_direct_ibo_prompt_2, afrimmlu_direct_ibo_prompt_3, afrimmlu_direct_ibo_prompt_4
afrimmlu_direct_ibo_prompt_5, afrimmlu_direct_kin_prompt_1, afrimmlu_direct_kin_prompt_2, afrimmlu_direct_kin_prompt_3
afrimmlu_direct_kin_prompt_4, afrimmlu_direct_kin_prompt_5, afrimmlu_direct_lin_prompt_1, afrimmlu_direct_lin_prompt_2
afrimmlu_direct_lin_prompt_3, afrimmlu_direct_lin_prompt_4, afrimmlu_direct_lin_prompt_5, afrimmlu_direct_lug_prompt_1
afrimmlu_direct_lug_prompt_2, afrimmlu_direct_lug_prompt_3, afrimmlu_direct_lug_prompt_4, afrimmlu_direct_lug_prompt_5
afrimmlu_direct_orm_prompt_1, afrimmlu_direct_orm_prompt_2, afrimmlu_direct_orm_prompt_3, afrimmlu_direct_orm_prompt_4
afrimmlu_direct_orm_prompt_5, afrimmlu_direct_sna_prompt_1, afrimmlu_direct_sna_prompt_2, afrimmlu_direct_sna_prompt_3
afrimmlu_direct_sna_prompt_4, afrimmlu_direct_sna_prompt_5, afrimmlu_direct_sot_prompt_1, afrimmlu_direct_sot_prompt_2
afrimmlu_direct_sot_prompt_3, afrimmlu_direct_sot_prompt_4, afrimmlu_direct_sot_prompt_5, afrimmlu_direct_swa_prompt_1
afrimmlu_direct_swa_prompt_2, afrimmlu_direct_swa_prompt_3, afrimmlu_direct_swa_prompt_4, afrimmlu_direct_swa_prompt_5
afrimmlu_direct_twi_prompt_1, afrimmlu_direct_twi_prompt_2, afrimmlu_direct_twi_prompt_3, afrimmlu_direct_twi_prompt_4
afrimmlu_direct_twi_prompt_5, afrimmlu_direct_wol_prompt_1, afrimmlu_direct_wol_prompt_2, afrimmlu_direct_wol_prompt_3
afrimmlu_direct_wol_prompt_4, afrimmlu_direct_wol_prompt_5, afrimmlu_direct_xho_prompt_1, afrimmlu_direct_xho_prompt_2
afrimmlu_direct_xho_prompt_3, afrimmlu_direct_xho_prompt_4, afrimmlu_direct_xho_prompt_5, afrimmlu_direct_yor_prompt_1
afrimmlu_direct_yor_prompt_2, afrimmlu_direct_yor_prompt_3, afrimmlu_direct_yor_prompt_4, afrimmlu_direct_yor_prompt_5
afrimmlu_direct_zul_prompt_1, afrimmlu_direct_zul_prompt_2, afrimmlu_direct_zul_prompt_3, afrimmlu_direct_zul_prompt_4
afrimmlu_direct_zul_prompt_5, afrimmlu_tasks, afrimmlu_translate_amh_prompt_1, afrimmlu_translate_amh_prompt_2
afrimmlu_translate_amh_prompt_3, afrimmlu_translate_amh_prompt_4, afrimmlu_translate_amh_prompt_5, afrimmlu_translate_ewe_prompt_1
afrimmlu_translate_ewe_prompt_2, afrimmlu_translate_ewe_prompt_3, afrimmlu_translate_ewe_prompt_4, afrimmlu_translate_ewe_prompt_5
afrimmlu_translate_fra_prompt_1, afrimmlu_translate_fra_prompt_2, afrimmlu_translate_fra_prompt_3, afrimmlu_translate_fra_prompt_4
afrimmlu_translate_fra_prompt_5, afrimmlu_translate_hau_prompt_1, afrimmlu_translate_hau_prompt_2, afrimmlu_translate_hau_prompt_3
afrimmlu_translate_hau_prompt_4, afrimmlu_translate_hau_prompt_5, afrimmlu_translate_ibo_prompt_1, afrimmlu_translate_ibo_prompt_2
afrimmlu_translate_ibo_prompt_3, afrimmlu_translate_ibo_prompt_4, afrimmlu_translate_ibo_prompt_5, afrimmlu_translate_kin_prompt_1
afrimmlu_translate_kin_prompt_2, afrimmlu_translate_kin_prompt_3, afrimmlu_translate_kin_prompt_4, afrimmlu_translate_kin_prompt_5
afrimmlu_translate_lin_prompt_1, afrimmlu_translate_lin_prompt_2, afrimmlu_translate_lin_prompt_3, afrimmlu_translate_lin_prompt_4
afrimmlu_translate_lin_prompt_5, afrimmlu_translate_lug_prompt_1, afrimmlu_translate_lug_prompt_2, afrimmlu_translate_lug_prompt_3
afrimmlu_translate_lug_prompt_4, afrimmlu_translate_lug_prompt_5, afrimmlu_translate_orm_prompt_1, afrimmlu_translate_orm_prompt_2
afrimmlu_translate_orm_prompt_3, afrimmlu_translate_orm_prompt_4, afrimmlu_translate_orm_prompt_5, afrimmlu_translate_sna_prompt_1
afrimmlu_translate_sna_prompt_2, afrimmlu_translate_sna_prompt_3, afrimmlu_translate_sna_prompt_4, afrimmlu_translate_sna_prompt_5
afrimmlu_translate_sot_prompt_1, afrimmlu_translate_sot_prompt_2, afrimmlu_translate_sot_prompt_3, afrimmlu_translate_sot_prompt_4
afrimmlu_translate_sot_prompt_5, afrimmlu_translate_swa_prompt_1, afrimmlu_translate_swa_prompt_2, afrimmlu_translate_swa_prompt_3
afrimmlu_translate_swa_prompt_4, afrimmlu_translate_swa_prompt_5, afrimmlu_translate_twi_prompt_1, afrimmlu_translate_twi_prompt_2
afrimmlu_translate_twi_prompt_3, afrimmlu_translate_twi_prompt_4, afrimmlu_translate_twi_prompt_5, afrimmlu_translate_wol_prompt_1
afrimmlu_translate_wol_prompt_2, afrimmlu_translate_wol_prompt_3, afrimmlu_translate_wol_prompt_4, afrimmlu_translate_wol_prompt_5
afrimmlu_translate_xho_prompt_1, afrimmlu_translate_xho_prompt_2, afrimmlu_translate_xho_prompt_3, afrimmlu_translate_xho_prompt_4
afrimmlu_translate_xho_prompt_5, afrimmlu_translate_yor_prompt_1, afrimmlu_translate_yor_prompt_2, afrimmlu_translate_yor_prompt_3
afrimmlu_translate_yor_prompt_4, afrimmlu_translate_yor_prompt_5, afrimmlu_translate_zul_prompt_1, afrimmlu_translate_zul_prompt_2
afrimmlu_translate_zul_prompt_3, afrimmlu_translate_zul_prompt_4, afrimmlu_translate_zul_prompt_5, afrimmlu_tt-irokobench
afrimmlu_tt_tasks, afriqa, afrisent_prompt_2, afrisenti
afrixnli, afrixnli-irokobench, afrobench, afrobench_lite
ag_news, agieval, ai2_arc, aime
aime24, aime25, anagrams1, anagrams2
anli, arab_culture, arabic_exams, arabic_leaderboard_acva
arabic_leaderboard_alghafa, arabic_leaderboard_arabic_exams, arabic_leaderboard_arabic_mmlu, arabic_leaderboard_arabic_mt_arc_challenge
arabic_leaderboard_arabic_mt_arc_easy, arabic_leaderboard_arabic_mt_boolq, arabic_leaderboard_arabic_mt_copa, arabic_leaderboard_arabic_mt_hellaswag
arabic_leaderboard_arabic_mt_mmlu, arabic_leaderboard_arabic_mt_openbook_qa, arabic_leaderboard_arabic_mt_piqa, arabic_leaderboard_arabic_mt_race
arabic_leaderboard_arabic_mt_sciq, arabic_leaderboard_arabic_mt_toxigen, arabic_leaderboard_complete, arabic_leaderboard_light
arabic_mt_arc_challenge, arabic_mt_arc_easy, arabic_mt_boolq, arabic_mt_copa
arabic_mt_hellaswag, arabic_mt_mmlu, arabic_mt_openbook_qa, arabic_mt_piqa
arabic_mt_race, arabic_mt_sciq, arabic_mt_toxigen, arabicmmlu
arc_ar, arc_bn, arc_ca, arc_ca_easy
arc_challenge, arc_da, arc_de, arc_easy
arc_es, arc_eu, arc_eu_easy, arc_fr
arc_gu, arc_hi, arc_hr, arc_hu
arc_hy, arc_id, arc_it, arc_kn
arc_ml, arc_mr, arc_multilingual, arc_ne
arc_nl, arc_pt, arc_ro, arc_ru
arc_sk, arc_sr, arc_sv, arc_ta
arc_te, arc_uk, arc_vi, arc_zh
argument_topic, arithmetic, asdiv, ask_gec
assin_entailment, assin_paraphrase, atis, babi
babilong, bangla_commonsenseqa, bangla_mmlu, banking77
basque-glue, basque_bench, bbh, bbq
bear, bec2016eu, belebele, bertaqa
bhs__basque__DO__S_DO_V_AUX, bhs__basque__DO__S_IO_DO_V_AUX, bhs__basque__IO__IO_S_V_AUX, bhs__basque__IO__S_IO_DO_V_AUX
bhs__basque__S__IO_S_V_AUX, bhs__basque__S__S_DO_V_AUX, bhs__basque__S__S_IO_DO_V_AUX, bhs__basque__S__S_V_AUX
bhs__hindi__S_O_V, bhs__hindi__S_PossPRN_O_V, bhs__hindi__S_PossPRN_PossN_O_V, bhs__hindi__S_ne_O_V
bhs__hindi__S_ne_PossPRN_O_V, bhs__hindi__S_ne_PossPRN_PossN_O_V, bhs__swahili__N_of_Poss_D_AP_V_ni_AN, bhs__swahili__N_of_Poss_D_AP_ni_AN
bhs__swahili__N_of_Poss_D_A_V, bhs__swahili__N_of_Poss_D_A_V1_V2, bhs__swahili__N_of_Poss_D_V, bhs__swahili__N_of_Poss_D_ni_A
bhs__swahili__N_of_Poss_V, bhs__swahili__N_of_Poss_ni_A, bhs_basque, bhs_hindi
bhs_swahili, bhtc_v2, bigbench_abstract_narrative_understanding_generate_until, bigbench_abstract_narrative_understanding_multiple_choice
bigbench_anachronisms_generate_until, bigbench_anachronisms_multiple_choice, bigbench_analogical_similarity_generate_until, bigbench_analogical_similarity_multiple_choice
bigbench_analytic_entailment_generate_until, bigbench_analytic_entailment_multiple_choice, bigbench_arithmetic_generate_until, bigbench_arithmetic_multiple_choice
bigbench_ascii_word_recognition_generate_until, bigbench_authorship_verification_generate_until, bigbench_authorship_verification_multiple_choice, bigbench_auto_categorization_generate_until
bigbench_auto_debugging_generate_until, bigbench_bbq_lite_json_generate_until, bigbench_bbq_lite_json_multiple_choice, bigbench_bridging_anaphora_resolution_barqa_generate_until
bigbench_causal_judgment_generate_until, bigbench_causal_judgment_multiple_choice, bigbench_cause_and_effect_generate_until, bigbench_cause_and_effect_multiple_choice
bigbench_checkmate_in_one_generate_until, bigbench_checkmate_in_one_multiple_choice, bigbench_chess_state_tracking_generate_until, bigbench_chinese_remainder_theorem_generate_until
bigbench_cifar10_classification_generate_until, bigbench_cifar10_classification_multiple_choice, bigbench_code_line_description_generate_until, bigbench_code_line_description_multiple_choice
bigbench_codenames_generate_until, bigbench_color_generate_until, bigbench_color_multiple_choice, bigbench_common_morpheme_generate_until
bigbench_common_morpheme_multiple_choice, bigbench_conceptual_combinations_generate_until, bigbench_conceptual_combinations_multiple_choice, bigbench_conlang_translation_generate_until
bigbench_contextual_parametric_knowledge_conflicts_generate_until, bigbench_contextual_parametric_knowledge_conflicts_multiple_choice, bigbench_crash_blossom_generate_until, bigbench_crash_blossom_multiple_choice
bigbench_crass_ai_generate_until, bigbench_crass_ai_multiple_choice, bigbench_cryobiology_spanish_generate_until, bigbench_cryobiology_spanish_multiple_choice
bigbench_cryptonite_generate_until, bigbench_cs_algorithms_generate_until, bigbench_cs_algorithms_multiple_choice, bigbench_dark_humor_detection_generate_until
bigbench_dark_humor_detection_multiple_choice, bigbench_date_understanding_generate_until, bigbench_date_understanding_multiple_choice, bigbench_disambiguation_qa_generate_until
bigbench_disambiguation_qa_multiple_choice, bigbench_discourse_marker_prediction_generate_until, bigbench_discourse_marker_prediction_multiple_choice, bigbench_disfl_qa_generate_until
bigbench_dyck_languages_generate_until, bigbench_dyck_languages_multiple_choice, bigbench_elementary_math_qa_generate_until, bigbench_elementary_math_qa_multiple_choice
bigbench_emoji_movie_generate_until, bigbench_emoji_movie_multiple_choice, bigbench_emojis_emotion_prediction_generate_until, bigbench_emojis_emotion_prediction_multiple_choice
bigbench_empirical_judgments_generate_until, bigbench_empirical_judgments_multiple_choice, bigbench_english_proverbs_generate_until, bigbench_english_proverbs_multiple_choice
bigbench_english_russian_proverbs_generate_until, bigbench_english_russian_proverbs_multiple_choice, bigbench_entailed_polarity_generate_until, bigbench_entailed_polarity_hindi_generate_until
bigbench_entailed_polarity_hindi_multiple_choice, bigbench_entailed_polarity_multiple_choice, bigbench_epistemic_reasoning_generate_until, bigbench_epistemic_reasoning_multiple_choice
bigbench_evaluating_information_essentiality_generate_until, bigbench_evaluating_information_essentiality_multiple_choice, bigbench_fact_checker_generate_until, bigbench_fact_checker_multiple_choice
bigbench_fantasy_reasoning_generate_until, bigbench_fantasy_reasoning_multiple_choice, bigbench_few_shot_nlg_generate_until, bigbench_figure_of_speech_detection_generate_until
bigbench_figure_of_speech_detection_multiple_choice, bigbench_formal_fallacies_syllogisms_negation_generate_until, bigbench_formal_fallacies_syllogisms_negation_multiple_choice, bigbench_gem_generate_until
bigbench_gender_inclusive_sentences_german_generate_until, bigbench_general_knowledge_generate_until, bigbench_general_knowledge_multiple_choice, bigbench_generate_until
bigbench_geometric_shapes_generate_until, bigbench_geometric_shapes_multiple_choice, bigbench_goal_step_wikihow_generate_until, bigbench_goal_step_wikihow_multiple_choice
bigbench_gre_reading_comprehension_generate_until, bigbench_gre_reading_comprehension_multiple_choice, bigbench_hhh_alignment_generate_until, bigbench_hhh_alignment_multiple_choice
bigbench_hindi_question_answering_generate_until, bigbench_hindu_knowledge_generate_until, bigbench_hindu_knowledge_multiple_choice, bigbench_hinglish_toxicity_generate_until
bigbench_hinglish_toxicity_multiple_choice, bigbench_human_organs_senses_generate_until, bigbench_human_organs_senses_multiple_choice, bigbench_hyperbaton_generate_until
bigbench_hyperbaton_multiple_choice, bigbench_identify_math_theorems_generate_until, bigbench_identify_math_theorems_multiple_choice, bigbench_identify_odd_metaphor_generate_until
bigbench_identify_odd_metaphor_multiple_choice, bigbench_implicatures_generate_until, bigbench_implicatures_multiple_choice, bigbench_implicit_relations_generate_until
bigbench_implicit_relations_multiple_choice, bigbench_intent_recognition_generate_until, bigbench_intent_recognition_multiple_choice, bigbench_international_phonetic_alphabet_nli_generate_until
bigbench_international_phonetic_alphabet_nli_multiple_choice, bigbench_international_phonetic_alphabet_transliterate_generate_until, bigbench_intersect_geometry_generate_until, bigbench_intersect_geometry_multiple_choice
bigbench_irony_identification_generate_until, bigbench_irony_identification_multiple_choice, bigbench_kanji_ascii_generate_until, bigbench_kanji_ascii_multiple_choice
bigbench_kannada_generate_until, bigbench_kannada_multiple_choice, bigbench_key_value_maps_generate_until, bigbench_key_value_maps_multiple_choice
bigbench_known_unknowns_generate_until, bigbench_known_unknowns_multiple_choice, bigbench_language_games_generate_until, bigbench_language_identification_generate_until
bigbench_language_identification_multiple_choice, bigbench_linguistic_mappings_generate_until, bigbench_linguistics_puzzles_generate_until, bigbench_list_functions_generate_until
bigbench_logic_grid_puzzle_generate_until, bigbench_logic_grid_puzzle_multiple_choice, bigbench_logical_args_generate_until, bigbench_logical_args_multiple_choice
bigbench_logical_deduction_generate_until, bigbench_logical_deduction_multiple_choice, bigbench_logical_fallacy_detection_generate_until, bigbench_logical_fallacy_detection_multiple_choice
bigbench_logical_sequence_generate_until, bigbench_logical_sequence_multiple_choice, bigbench_mathematical_induction_generate_until, bigbench_mathematical_induction_multiple_choice
bigbench_matrixshapes_generate_until, bigbench_metaphor_boolean_generate_until, bigbench_metaphor_boolean_multiple_choice, bigbench_metaphor_understanding_generate_until
bigbench_metaphor_understanding_multiple_choice, bigbench_minute_mysteries_qa_generate_until, bigbench_misconceptions_generate_until, bigbench_misconceptions_multiple_choice
bigbench_misconceptions_russian_generate_until, bigbench_misconceptions_russian_multiple_choice, bigbench_mnist_ascii_generate_until, bigbench_mnist_ascii_multiple_choice
bigbench_modified_arithmetic_generate_until, bigbench_moral_permissibility_generate_until, bigbench_moral_permissibility_multiple_choice, bigbench_movie_dialog_same_or_different_generate_until
bigbench_movie_dialog_same_or_different_multiple_choice, bigbench_movie_recommendation_generate_until, bigbench_movie_recommendation_multiple_choice, bigbench_mult_data_wrangling_generate_until
bigbench_multiemo_generate_until, bigbench_multiemo_multiple_choice, bigbench_multiple_choice_a, bigbench_multiple_choice_b
bigbench_natural_instructions_generate_until, bigbench_navigate_generate_until, bigbench_navigate_multiple_choice, bigbench_nonsense_words_grammar_generate_until
bigbench_nonsense_words_grammar_multiple_choice, bigbench_novel_concepts_generate_until, bigbench_novel_concepts_multiple_choice, bigbench_object_counting_generate_until
bigbench_odd_one_out_generate_until, bigbench_odd_one_out_multiple_choice, bigbench_operators_generate_until, bigbench_paragraph_segmentation_generate_until
bigbench_parsinlu_qa_generate_until, bigbench_parsinlu_qa_multiple_choice, bigbench_parsinlu_reading_comprehension_generate_until, bigbench_penguins_in_a_table_generate_until
bigbench_penguins_in_a_table_multiple_choice, bigbench_periodic_elements_generate_until, bigbench_periodic_elements_multiple_choice, bigbench_persian_idioms_generate_until
bigbench_persian_idioms_multiple_choice, bigbench_phrase_relatedness_generate_until, bigbench_phrase_relatedness_multiple_choice, bigbench_physical_intuition_generate_until
bigbench_physical_intuition_multiple_choice, bigbench_physics_generate_until, bigbench_physics_multiple_choice, bigbench_physics_questions_generate_until
bigbench_play_dialog_same_or_different_generate_until, bigbench_play_dialog_same_or_different_multiple_choice, bigbench_polish_sequence_labeling_generate_until, bigbench_presuppositions_as_nli_generate_until
bigbench_presuppositions_as_nli_multiple_choice, bigbench_qa_wikidata_generate_until, bigbench_question_selection_generate_until, bigbench_question_selection_multiple_choice
bigbench_real_or_fake_text_generate_until, bigbench_real_or_fake_text_multiple_choice, bigbench_reasoning_about_colored_objects_generate_until, bigbench_reasoning_about_colored_objects_multiple_choice
bigbench_repeat_copy_logic_generate_until, bigbench_rephrase_generate_until, bigbench_riddle_sense_generate_until, bigbench_riddle_sense_multiple_choice
bigbench_ruin_names_generate_until, bigbench_ruin_names_multiple_choice, bigbench_salient_translation_error_detection_generate_until, bigbench_salient_translation_error_detection_multiple_choice
bigbench_scientific_press_release_generate_until, bigbench_semantic_parsing_in_context_sparc_generate_until, bigbench_semantic_parsing_spider_generate_until, bigbench_sentence_ambiguity_generate_until
bigbench_sentence_ambiguity_multiple_choice, bigbench_similarities_abstraction_generate_until, bigbench_similarities_abstraction_multiple_choice, bigbench_simp_turing_concept_generate_until
bigbench_simple_arithmetic_json_generate_until, bigbench_simple_arithmetic_json_multiple_choice_generate_until, bigbench_simple_arithmetic_json_subtasks_generate_until, bigbench_simple_arithmetic_multiple_targets_json_generate_until
bigbench_simple_ethical_questions_generate_until, bigbench_simple_ethical_questions_multiple_choice, bigbench_simple_text_editing_generate_until, bigbench_snarks_generate_until
bigbench_snarks_multiple_choice, bigbench_social_iqa_generate_until, bigbench_social_iqa_multiple_choice, bigbench_social_support_generate_until
bigbench_social_support_multiple_choice, bigbench_sports_understanding_generate_until, bigbench_sports_understanding_multiple_choice, bigbench_strange_stories_generate_until
bigbench_strange_stories_multiple_choice, bigbench_strategyqa_generate_until, bigbench_strategyqa_multiple_choice, bigbench_sufficient_information_generate_until
bigbench_suicide_risk_generate_until, bigbench_suicide_risk_multiple_choice, bigbench_swahili_english_proverbs_generate_until, bigbench_swahili_english_proverbs_multiple_choice
bigbench_swedish_to_german_proverbs_generate_until, bigbench_swedish_to_german_proverbs_multiple_choice, bigbench_symbol_interpretation_generate_until, bigbench_symbol_interpretation_multiple_choice
bigbench_temporal_sequences_generate_until, bigbench_temporal_sequences_multiple_choice, bigbench_tense_generate_until, bigbench_timedial_generate_until
bigbench_timedial_multiple_choice, bigbench_topical_chat_generate_until, bigbench_tracking_shuffled_objects_generate_until, bigbench_tracking_shuffled_objects_multiple_choice
bigbench_understanding_fables_generate_until, bigbench_understanding_fables_multiple_choice, bigbench_undo_permutation_generate_until, bigbench_undo_permutation_multiple_choice
bigbench_unit_conversion_generate_until, bigbench_unit_conversion_multiple_choice, bigbench_unit_interpretation_generate_until, bigbench_unit_interpretation_multiple_choice
bigbench_unnatural_in_context_learning_generate_until, bigbench_vitaminc_fact_verification_generate_until, bigbench_vitaminc_fact_verification_multiple_choice, bigbench_what_is_the_tao_generate_until
bigbench_what_is_the_tao_multiple_choice, bigbench_which_wiki_edit_generate_until, bigbench_which_wiki_edit_multiple_choice, bigbench_winowhy_generate_until
bigbench_winowhy_multiple_choice, bigbench_word_sorting_generate_until, bigbench_word_unscrambling_generate_until, blimp
boolq, boolq-seq2seq, boolqa_bn, c4
cabbq, cabreu, careqa_en, careqa_es
careqa_open, catalan_bench, catalanqa, catcola
cb, celep1, celep2, ceval-valid
chain_of_thought, chartqa, claim_stance_topic, click
cmmlu, cnn_dailymail, cocoteros_es, cocoteros_va
code2text, coedit_gec, cola, common_voice_en
commonsense_qa, copa, copal_id, coqa
coqcat, crows_pairs, csatqa, cycle_letters
darija_sentiment, darija_summarization, darija_translation, darija_transliteration
darijahellaswag, darijammlu, dbpedia_14, discrim_eval_explicit
discrim_eval_implicit, doc_vqa, drop, egyhellaswag
egymmlu, epec_koref_bin, eq_bench, eqbench_ca
eqbench_es, esbbq, escola, ethics_cm
ethics_deontology, ethics_justice, ethics_utilitarianism, ethics_virtue
ethos_binary, eus_exams_es, eus_exams_eu, eus_proficiency
eus_reading, eus_trivia, evalita-mp, evalita-sp_sum_task_fp-small_p1
evalita-sp_sum_task_fp-small_p2, evalita-sp_sum_task_fp_p1, evalita-sp_sum_task_fp_p2, fda
financial_tweets, flan_held_in, flan_held_out, fld_default
fld_logical_formula_default, fld_logical_formula_star, fld_star, flores
freebase, french_bench, galcola, galician_bench
glianorex, global_mmlu_ar, global_mmlu_bn, global_mmlu_de
global_mmlu_en, global_mmlu_es, global_mmlu_fr, global_mmlu_full_am
global_mmlu_full_ar, global_mmlu_full_bn, global_mmlu_full_cs, global_mmlu_full_de
global_mmlu_full_el, global_mmlu_full_en, global_mmlu_full_es, global_mmlu_full_fa
global_mmlu_full_fil, global_mmlu_full_fr, global_mmlu_full_ha, global_mmlu_full_he
global_mmlu_full_hi, global_mmlu_full_id, global_mmlu_full_ig, global_mmlu_full_it
global_mmlu_full_ja, global_mmlu_full_ko, global_mmlu_full_ky, global_mmlu_full_lt
global_mmlu_full_mg, global_mmlu_full_ms, global_mmlu_full_ne, global_mmlu_full_nl
global_mmlu_full_ny, global_mmlu_full_pl, global_mmlu_full_pt, global_mmlu_full_ro
global_mmlu_full_ru, global_mmlu_full_si, global_mmlu_full_sn, global_mmlu_full_so
global_mmlu_full_sr, global_mmlu_full_sv, global_mmlu_full_sw, global_mmlu_full_te
global_mmlu_full_tr, global_mmlu_full_uk, global_mmlu_full_vi, global_mmlu_full_yo
global_mmlu_full_zh, global_mmlu_generative_ar, global_mmlu_generative_bn, global_mmlu_generative_de
global_mmlu_generative_en, global_mmlu_generative_es, global_mmlu_generative_fr, global_mmlu_generative_hi
global_mmlu_generative_id, global_mmlu_generative_it, global_mmlu_generative_ja, global_mmlu_generative_ko
global_mmlu_generative_pt, global_mmlu_generative_sw, global_mmlu_generative_yo, global_mmlu_generative_zh
global_mmlu_hi, global_mmlu_id, global_mmlu_it, global_mmlu_ja
global_mmlu_ko, global_mmlu_pt, global_mmlu_sw, global_mmlu_yo
global_mmlu_zh, global_piqa_completions, global_piqa_prompted, glue
gpqa, gpqa_diamond, gpqa_extended, gpqa_main
gpt3_translation_benchmarks, graphwalks, groundcocoa, gsm8k
gsm_plus, gsm_plus_mini, haerae, headqa
hellaswag, hendrycks_ethics, hendrycks_math, hendrycks_math500
histoires_morales, hrm8k, humaneval, icelandic_winogrande
ifbench, ifeval, include_base_44_albanian, include_base_44_arabic
include_base_44_armenian, include_base_44_azerbaijani, include_base_44_basque, include_base_44_belarusian
include_base_44_bengali, include_base_44_bulgarian, include_base_44_chinese, include_base_44_croatian
include_base_44_dutch, include_base_44_estonian, include_base_44_finnish, include_base_44_french
include_base_44_georgian, include_base_44_german, include_base_44_greek, include_base_44_hebrew
include_base_44_hindi, include_base_44_hungarian, include_base_44_indonesian, include_base_44_italian
include_base_44_japanese, include_base_44_kazakh, include_base_44_korean, include_base_44_lithuanian
include_base_44_malay, include_base_44_malayalam, include_base_44_nepali, include_base_44_north macedonian
include_base_44_persian, include_base_44_polish, include_base_44_portuguese, include_base_44_russian
include_base_44_serbian, include_base_44_spanish, include_base_44_tagalog, include_base_44_tamil
include_base_44_telugu, include_base_44_turkish, include_base_44_ukrainian, include_base_44_urdu
include_base_44_uzbek, include_base_44_vietnamese, injongointent, inverse_scaling_hindsight_neglect_10shot
inverse_scaling_into_the_unknown, inverse_scaling_mc, inverse_scaling_memo_trap, inverse_scaling_modus_tollens
inverse_scaling_neqa, inverse_scaling_pattern_matching_suppression, inverse_scaling_quote_repetition, inverse_scaling_redefine_math
inverse_scaling_repetitive_algebra, inverse_scaling_sig_figs, inverse_scaling_winobias_antistereotype, iwslt2017
iwslt2017-ar-en, iwslt2017-en-ar, ja_leaderboard_jaqket_v2, ja_leaderboard_jcommonsenseqa
ja_leaderboard_jnli, ja_leaderboard_jsquad, ja_leaderboard_marc_ja, ja_leaderboard_mgsm
ja_leaderboard_xlsum, ja_leaderboard_xwinograd, japanese_leaderboard, jsonschema_bench
jsonschema_bench_easy, jsonschema_bench_hard, kbl, kmmlu
kmmlu_hard, kmmlu_pro, kobalt, kobest
kobigbench, kormedmcqa, lambada, law_stack_exchange
leaderboard, ledgar, libra, librusec_history
librusec_mhqa, lingoly, livecodebench, llama
lm_syneval, logieval, logiqa, logiqa2
long_context_multiq, longbench, longbench2, longcxt
m_mmlu, mafand, masakhaner, masakhanews
masakhapos, mastermind, mastermind_easy, mastermind_hard
math, mathqa, matreshka_names, matreshka_yes_no
mbpp, mc_taco, med_concepts_qa, med_prescriptions
med_prescriptions_easy, med_prescriptions_hard, med_text_classification, med_text_classification_easy
med_text_classification_hard, meddialog, medical_abstracts, mediqa_qa2019
medmcqa, medqa_4options, medtext, mela
meqsum, metabench, mgsm, mimic_repsum
minerva_math, minerva_math500, mlqa_ar_ar, mlqa_ar_de
mlqa_ar_en, mlqa_ar_es, mlqa_ar_hi, mlqa_ar_vi
mlqa_ar_zh, mlqa_de_ar, mlqa_de_de, mlqa_de_en
mlqa_de_es, mlqa_de_hi, mlqa_de_vi, mlqa_de_zh
mlqa_en_ar, mlqa_en_de, mlqa_en_en, mlqa_en_es
mlqa_en_hi, mlqa_en_vi, mlqa_en_zh, mlqa_es_ar
mlqa_es_de, mlqa_es_en, mlqa_es_es, mlqa_es_hi
mlqa_es_vi, mlqa_es_zh, mlqa_hi_ar, mlqa_hi_de
mlqa_hi_en, mlqa_hi_es, mlqa_hi_hi, mlqa_hi_vi
mlqa_hi_zh, mlqa_vi_ar, mlqa_vi_de, mlqa_vi_en
mlqa_vi_es, mlqa_vi_hi, mlqa_vi_vi, mlqa_vi_zh
mlqa_zh_ar, mlqa_zh_de, mlqa_zh_en, mlqa_zh_es
mlqa_zh_hi, mlqa_zh_vi, mlqa_zh_zh, mmlu
mmlu_pro, mmlu_redux, mmlusr, mmmlu
mmmu_val, mnli, moral_stories, mrpc
mts_dialog, multiblimp, multimedqa, multiple_choice
multirc, mutual, naijarc, ncb
niah_multikey_1, niah_multikey_2, niah_multikey_3, niah_multiquery
niah_multivalue, niah_single_1, niah_single_2, niah_single_3
nollysenti, non_greedy_robustness_agieval_aqua_rat, non_greedy_robustness_agieval_logiqa_en, non_greedy_robustness_agieval_lsat_ar
non_greedy_robustness_agieval_lsat_lr, non_greedy_robustness_agieval_lsat_rc, non_greedy_robustness_agieval_sat_en, non_greedy_robustness_agieval_sat_math
non_greedy_robustness_math_algebra, non_greedy_robustness_math_counting_and_prob, non_greedy_robustness_math_geometry, non_greedy_robustness_math_intermediate_algebra
non_greedy_robustness_math_num_theory, non_greedy_robustness_math_prealgebra, non_greedy_robustness_math_precalc, noor
norbelebele, norcommonsenseqa_nno, norcommonsenseqa_nob, norec_document
norec_sentence, noridiom_nno, noridiom_nob, noropenbookqa_nno
noropenbookqa_nob, norquad, norrewrite_instruct, norsumm_nno
norsumm_nob, norsummarize_instruct, nortruthfulqa_gen_nno, nortruthfulqa_gen_nob
nortruthfulqa_mc_nno, nortruthfulqa_mc_nob, noticia, nq_open
nrk_quiz_qa_nno, nrk_quiz_qa_nob, ntrex_afr-eng, ntrex_afr_Latn-eng_Latn_prompt_1
ntrex_afr_Latn-eng_Latn_prompt_2, ntrex_afr_Latn-eng_Latn_prompt_3, ntrex_amh_Ethi-eng_Latn_prompt_1, ntrex_amh_Ethi-eng_Latn_prompt_2
ntrex_amh_Ethi-eng_Latn_prompt_3, ntrex_arb_Arab-eng_Latn_prompt_1, ntrex_arb_Arab-eng_Latn_prompt_2, ntrex_arb_Arab-eng_Latn_prompt_3
ntrex_bem_Latn-eng_Latn_prompt_1, ntrex_bem_Latn-eng_Latn_prompt_2, ntrex_bem_Latn-eng_Latn_prompt_3, ntrex_eng-afr
ntrex_eng_Latn-afr_Latn_prompt_1, ntrex_eng_Latn-afr_Latn_prompt_2, ntrex_eng_Latn-afr_Latn_prompt_3, ntrex_eng_Latn-amh_Ethi_prompt_1
ntrex_eng_Latn-amh_Ethi_prompt_2, ntrex_eng_Latn-amh_Ethi_prompt_3, ntrex_eng_Latn-arb_Arab_prompt_1, ntrex_eng_Latn-arb_Arab_prompt_2
ntrex_eng_Latn-arb_Arab_prompt_3, ntrex_eng_Latn-bem_Latn_prompt_1, ntrex_eng_Latn-bem_Latn_prompt_2, ntrex_eng_Latn-bem_Latn_prompt_3
ntrex_eng_Latn-ewe_Latn_prompt_1, ntrex_eng_Latn-ewe_Latn_prompt_2, ntrex_eng_Latn-ewe_Latn_prompt_3, ntrex_eng_Latn-fra_Latn_prompt_1
ntrex_eng_Latn-fra_Latn_prompt_2, ntrex_eng_Latn-fra_Latn_prompt_3, ntrex_eng_Latn-hau_Latn_prompt_1, ntrex_eng_Latn-hau_Latn_prompt_2
ntrex_eng_Latn-hau_Latn_prompt_3, ntrex_eng_Latn-ibo_Latn_prompt_1, ntrex_eng_Latn-ibo_Latn_prompt_2, ntrex_eng_Latn-ibo_Latn_prompt_3
ntrex_eng_Latn-kin_Latn_prompt_1, ntrex_eng_Latn-kin_Latn_prompt_2, ntrex_eng_Latn-kin_Latn_prompt_3, ntrex_eng_Latn-mey_Arab_prompt_1
ntrex_eng_Latn-mey_Arab_prompt_2, ntrex_eng_Latn-mey_Arab_prompt_3, ntrex_eng_Latn-mlg_Latn_prompt_1, ntrex_eng_Latn-mlg_Latn_prompt_2
ntrex_eng_Latn-mlg_Latn_prompt_3, ntrex_eng_Latn-msa_Latn_prompt_1, ntrex_eng_Latn-msa_Latn_prompt_2, ntrex_eng_Latn-msa_Latn_prompt_3
ntrex_eng_Latn-nde_Latn_prompt_1, ntrex_eng_Latn-nde_Latn_prompt_2, ntrex_eng_Latn-nde_Latn_prompt_3, ntrex_eng_Latn-nso_Latn_prompt_1
ntrex_eng_Latn-nso_Latn_prompt_2, ntrex_eng_Latn-nso_Latn_prompt_3, ntrex_eng_Latn-nya_Latn_prompt_1, ntrex_eng_Latn-nya_Latn_prompt_2
ntrex_eng_Latn-nya_Latn_prompt_3, ntrex_eng_Latn-orm_Ethi_prompt_1, ntrex_eng_Latn-orm_Ethi_prompt_2, ntrex_eng_Latn-orm_Ethi_prompt_3
ntrex_eng_Latn-shi_Arab_prompt_1, ntrex_eng_Latn-shi_Arab_prompt_2, ntrex_eng_Latn-shi_Arab_prompt_3, ntrex_eng_Latn-sna_Latn_prompt_1
ntrex_eng_Latn-sna_Latn_prompt_2, ntrex_eng_Latn-sna_Latn_prompt_3, ntrex_eng_Latn-som_Latn_prompt_1, ntrex_eng_Latn-som_Latn_prompt_2
ntrex_eng_Latn-som_Latn_prompt_3, ntrex_eng_Latn-ssw_Latn_prompt_1, ntrex_eng_Latn-ssw_Latn_prompt_2, ntrex_eng_Latn-ssw_Latn_prompt_3
ntrex_eng_Latn-swa_Latn_prompt_1, ntrex_eng_Latn-swa_Latn_prompt_2, ntrex_eng_Latn-swa_Latn_prompt_3, ntrex_eng_Latn-tam_Taml_prompt_1
ntrex_eng_Latn-tam_Taml_prompt_2, ntrex_eng_Latn-tam_Taml_prompt_3, ntrex_eng_Latn-tel_Telu_prompt_1, ntrex_eng_Latn-tel_Telu_prompt_2
ntrex_eng_Latn-tel_Telu_prompt_3, ntrex_eng_Latn-tir_Ethi_prompt_1, ntrex_eng_Latn-tir_Ethi_prompt_2, ntrex_eng_Latn-tir_Ethi_prompt_3
ntrex_eng_Latn-ton_Latn_prompt_1, ntrex_eng_Latn-ton_Latn_prompt_2, ntrex_eng_Latn-ton_Latn_prompt_3, ntrex_eng_Latn-tsn_Latn_prompt_1
ntrex_eng_Latn-tsn_Latn_prompt_2, ntrex_eng_Latn-tsn_Latn_prompt_3, ntrex_eng_Latn-urd_Arab_prompt_1, ntrex_eng_Latn-urd_Arab_prompt_2
ntrex_eng_Latn-urd_Arab_prompt_3, ntrex_eng_Latn-ven_Latn_prompt_1, ntrex_eng_Latn-ven_Latn_prompt_2, ntrex_eng_Latn-ven_Latn_prompt_3
ntrex_eng_Latn-wol_Latn_prompt_1, ntrex_eng_Latn-wol_Latn_prompt_2, ntrex_eng_Latn-wol_Latn_prompt_3, ntrex_eng_Latn-xho_Latn_prompt_1
ntrex_eng_Latn-xho_Latn_prompt_2, ntrex_eng_Latn-xho_Latn_prompt_3, ntrex_eng_Latn-yor_Latn_prompt_1, ntrex_eng_Latn-yor_Latn_prompt_2
ntrex_eng_Latn-yor_Latn_prompt_3, ntrex_eng_Latn-zul_Latn_prompt_1, ntrex_eng_Latn-zul_Latn_prompt_2, ntrex_eng_Latn-zul_Latn_prompt_3
ntrex_ewe_Latn-eng_Latn_prompt_1, ntrex_ewe_Latn-eng_Latn_prompt_2, ntrex_ewe_Latn-eng_Latn_prompt_3, ntrex_fra_Latn-eng_Latn_prompt_1
ntrex_fra_Latn-eng_Latn_prompt_2, ntrex_fra_Latn-eng_Latn_prompt_3, ntrex_hau_Latn-eng_Latn_prompt_1, ntrex_hau_Latn-eng_Latn_prompt_2
ntrex_hau_Latn-eng_Latn_prompt_3, ntrex_ibo_Latn-eng_Latn_prompt_1, ntrex_ibo_Latn-eng_Latn_prompt_2, ntrex_ibo_Latn-eng_Latn_prompt_3
ntrex_kin_Latn-eng_Latn_prompt_1, ntrex_kin_Latn-eng_Latn_prompt_2, ntrex_kin_Latn-eng_Latn_prompt_3, ntrex_mey_Arab-eng_Latn_prompt_1
ntrex_mey_Arab-eng_Latn_prompt_2, ntrex_mey_Arab-eng_Latn_prompt_3, ntrex_mlg_Latn-eng_Latn_prompt_1, ntrex_mlg_Latn-eng_Latn_prompt_2
ntrex_mlg_Latn-eng_Latn_prompt_3, ntrex_msa_Latn-eng_Latn_prompt_1, ntrex_msa_Latn-eng_Latn_prompt_2, ntrex_msa_Latn-eng_Latn_prompt_3
ntrex_nde_Latn-eng_Latn_prompt_1, ntrex_nde_Latn-eng_Latn_prompt_2, ntrex_nde_Latn-eng_Latn_prompt_3, ntrex_nso_Latn-eng_Latn_prompt_1
ntrex_nso_Latn-eng_Latn_prompt_2, ntrex_nso_Latn-eng_Latn_prompt_3, ntrex_nya_Latn-eng_Latn_prompt_1, ntrex_nya_Latn-eng_Latn_prompt_2
ntrex_nya_Latn-eng_Latn_prompt_3, ntrex_orm_Ethi-eng_Latn_prompt_1, ntrex_orm_Ethi-eng_Latn_prompt_2, ntrex_orm_Ethi-eng_Latn_prompt_3
ntrex_shi_Arab-eng_Latn_prompt_1, ntrex_shi_Arab-eng_Latn_prompt_2, ntrex_shi_Arab-eng_Latn_prompt_3, ntrex_sna_Latn-eng_Latn_prompt_1
ntrex_sna_Latn-eng_Latn_prompt_2, ntrex_sna_Latn-eng_Latn_prompt_3, ntrex_som_Latn-eng_Latn_prompt_1, ntrex_som_Latn-eng_Latn_prompt_2
ntrex_som_Latn-eng_Latn_prompt_3, ntrex_ssw_Latn-eng_Latn_prompt_1, ntrex_ssw_Latn-eng_Latn_prompt_2, ntrex_ssw_Latn-eng_Latn_prompt_3
ntrex_swa_Latn-eng_Latn_prompt_1, ntrex_swa_Latn-eng_Latn_prompt_2, ntrex_swa_Latn-eng_Latn_prompt_3, ntrex_tam_Taml-eng_Latn_prompt_1
ntrex_tam_Taml-eng_Latn_prompt_2, ntrex_tam_Taml-eng_Latn_prompt_3, ntrex_tasks, ntrex_tel_Telu-eng_Latn_prompt_1
ntrex_tel_Telu-eng_Latn_prompt_2, ntrex_tel_Telu-eng_Latn_prompt_3, ntrex_tir_Ethi-eng_Latn_prompt_1, ntrex_tir_Ethi-eng_Latn_prompt_2
ntrex_tir_Ethi-eng_Latn_prompt_3, ntrex_ton_Latn-eng_Latn_prompt_1, ntrex_ton_Latn-eng_Latn_prompt_2, ntrex_ton_Latn-eng_Latn_prompt_3
ntrex_tsn_Latn-eng_Latn_prompt_1, ntrex_tsn_Latn-eng_Latn_prompt_2, ntrex_tsn_Latn-eng_Latn_prompt_3, ntrex_urd_Arab-eng_Latn_prompt_1
ntrex_urd_Arab-eng_Latn_prompt_2, ntrex_urd_Arab-eng_Latn_prompt_3, ntrex_ven_Latn-eng_Latn_prompt_1, ntrex_ven_Latn-eng_Latn_prompt_2
ntrex_ven_Latn-eng_Latn_prompt_3, ntrex_wol_Latn-eng_Latn_prompt_1, ntrex_wol_Latn-eng_Latn_prompt_2, ntrex_wol_Latn-eng_Latn_prompt_3
ntrex_xho_Latn-eng_Latn_prompt_1, ntrex_xho_Latn-eng_Latn_prompt_2, ntrex_xho_Latn-eng_Latn_prompt_3, ntrex_yor_Latn-eng_Latn_prompt_1
ntrex_yor_Latn-eng_Latn_prompt_2, ntrex_yor_Latn-eng_Latn_prompt_3, ntrex_zul_Latn-eng_Latn_prompt_1, ntrex_zul_Latn-eng_Latn_prompt_2
ntrex_zul_Latn-eng_Latn_prompt_3, nug, olaph, openai_mmlu
openbookqa, openllm, option_order_robustness_agieval_aqua_rat, option_order_robustness_agieval_logiqa_en
option_order_robustness_agieval_lsat_ar, option_order_robustness_agieval_lsat_lr, option_order_robustness_agieval_lsat_rc, option_order_robustness_agieval_sat_en
option_order_robustness_agieval_sat_math, paloma, parafraseja, parafrases_gl
passkey, paws_ca, paws_de, paws_en
paws_es, paws_eu, paws_fr, paws_gl
paws_ja, paws_ko, paws_zh, pawsx
persona, phrases_ca-va, phrases_es, phrases_es-va
phrases_va, phrases_va-ca, phrases_va-es, pile_10k
pile_arxiv, pile_bookcorpus2, pile_books3, pile_dm-mathematics
pile_enron, pile_europarl, pile_freelaw, pile_github
pile_gutenberg, pile_hackernews, pile_nih-exporter, pile_opensubtitles
pile_openwebtext2, pile_philpapers, pile_pile-cc, pile_pubmed-abstracts
pile_pubmed-central, pile_stackexchange, pile_ubuntu-irc, pile_uspto
pile_wikipedia, pile_youtubesubtitles, piqa, pisa
polemo2, portuguese_bench, prompt_robustness_agieval_aqua_rat, prompt_robustness_agieval_logiqa_en
prompt_robustness_agieval_lsat_ar, prompt_robustness_agieval_lsat_lr, prompt_robustness_agieval_lsat_rc, prompt_robustness_agieval_sat_en
prompt_robustness_agieval_sat_math, prompt_robustness_math_algebra, prompt_robustness_math_counting_and_prob, prompt_robustness_math_geometry
prompt_robustness_math_intermediate_algebra, prompt_robustness_math_num_theory, prompt_robustness_math_prealgebra, prompt_robustness_math_precalc
prost, pubmedqa, pythia, qa4mre
qasper, qnli, qnlieu, qqp
race, random_insertion, realtoxicityprompts, record
reversed_words, rte, ru_2wikimultihopqa, ru_babilong_qa1
ru_babilong_qa2, ru_babilong_qa3, ru_babilong_qa4, ru_babilong_qa5
ru_gsm100, ru_qasper, ru_quality, ru_sci_abstract_retrieval
ru_sci_passage_count, ruler, salt, sciknoweval_mcqa
sciq, score_non_greedy_robustness_agieval, score_non_greedy_robustness_math, score_non_greedy_robustness_mmlu_pro
score_option_order_robustness_agieval, score_option_order_robustness_mmlu_pro, score_prompt_robustness_agieval, score_prompt_robustness_math
score_prompt_robustness_mmlu_pro, score_robustness, scrolls_contractnli, scrolls_govreport
scrolls_narrativeqa, scrolls_qasper, scrolls_qmsum, scrolls_quality
scrolls_summscreenfd, self_consistency, sglue_rte, sib
simple_cooccurrence_bias, siqa_ca, slr_bench_all, slr_bench_basic
slr_bench_easy, slr_bench_group, slr_bench_hard, slr_bench_medium
social_bias, social_iqa, spanish_bench, squad_completion
squadv2, sst2, storycloze, stsb
summarization_gl, super-glue-lm-eval-v1, super-glue-lm-eval-v1-seq2seq, super-glue-t5-prompt
super_glue-boolq-t5-prompt, super_glue-cb-t5-prompt, super_glue-copa-t5-prompt, super_glue-multirc-t5-prompt
super_glue-record-t5-prompt, super_glue-rte-t5-prompt, super_glue-wic-t5-prompt, super_glue-wsc-t5-prompt
swag, swde, sycophancy, t0_eval
tatoeba_eng_nno, tatoeba_eng_nob, tatoeba_nno_eng, tatoeba_nob_eng
teca, tinyArc, tinyBenchmarks, tinyGSM8k
tinyHellaswag, tinyMMLU, tinyTruthfulQA, tinyWinogrande
tmlu, tmmluplus, toxigen, translation
transliteration_all, transliteration_ar_dr, transliteration_dr_ar, trasnlation_all_doda
trasnlation_all_flores, trasnlation_all_madar, trasnlation_all_seed, trasnlation_dr_en_doda
trasnlation_dr_en_flores, trasnlation_dr_en_seed, trasnlation_dr_fr_doda, trasnlation_dr_fr_flores
trasnlation_dr_msa_doda, trasnlation_dr_msa_flores, trasnlation_dr_msa_madar, trasnlation_en_dr_doda
trasnlation_en_dr_flores, trasnlation_en_dr_seed, trasnlation_fr_dr_doda, trasnlation_fr_dr_flores
trasnlation_msa_dr_doda, trasnlation_msa_dr_flores, trasnlation_msa_dr_madar, triviaqa
truthfulqa, truthfulqa-multi, turblimp_anaphor_agreement, turblimp_argument_structure_ditransitive
turblimp_argument_structure_transitive, turblimp_binding, turblimp_core, turblimp_determiners
turblimp_ellipsis, turblimp_irregular_forms, turblimp_island_effects, turblimp_nominalization
turblimp_npi_licensing, turblimp_passives, turblimp_quantifiers, turblimp_relative_clauses
turblimp_scrambling, turblimp_subject_agreement, turblimp_suspended_affixation, turkishmmlu
uhura-arc-easy_am_prompt_1, uhura-arc-easy_am_prompt_2, uhura-arc-easy_am_prompt_3, uhura-arc-easy_am_prompt_4
uhura-arc-easy_am_prompt_5, uhura-arc-easy_en_prompt_1, uhura-arc-easy_en_prompt_2, uhura-arc-easy_en_prompt_3
uhura-arc-easy_en_prompt_4, uhura-arc-easy_en_prompt_5, uhura-arc-easy_ha_prompt_1, uhura-arc-easy_ha_prompt_2
uhura-arc-easy_ha_prompt_3, uhura-arc-easy_ha_prompt_4, uhura-arc-easy_ha_prompt_5, uhura-arc-easy_nso_prompt_1
uhura-arc-easy_nso_prompt_2, uhura-arc-easy_nso_prompt_3, uhura-arc-easy_nso_prompt_4, uhura-arc-easy_nso_prompt_5
uhura-arc-easy_sw_prompt_1, uhura-arc-easy_sw_prompt_2, uhura-arc-easy_sw_prompt_3, uhura-arc-easy_sw_prompt_4
uhura-arc-easy_sw_prompt_5, uhura-arc-easy_yo_prompt_1, uhura-arc-easy_yo_prompt_2, uhura-arc-easy_yo_prompt_3
uhura-arc-easy_yo_prompt_4, uhura-arc-easy_yo_prompt_5, uhura-arc-easy_zu_prompt_1, uhura-arc-easy_zu_prompt_2
uhura-arc-easy_zu_prompt_3, uhura-arc-easy_zu_prompt_4, uhura-arc-easy_zu_prompt_5, uhura_arc_easy
uleval, ulqa, ulut, unfair_tos
unscramble, uyghur_language, uyghur_literature, uyghur_llm
vaxx_stance, wag, webqs, wic
wiceu, wikitext, winogender, winogrande
wmdp, wmt-ro-en-t5-prompt, wmt14, wmt14-en-fr
wmt14-fr-en, wmt16, wmt16-de-en, wmt16-en-de
wmt16-en-ro, wmt16-ro-en, wnli, wsc
wsc273, wsm, wub, wum
xcopa, xlsum_amharic_prompt_1, xlsum_amharic_prompt_2, xlsum_amharic_prompt_3
xlsum_arabic_prompt_1, xlsum_arabic_prompt_2, xlsum_arabic_prompt_3, xlsum_es
xlsum_hausa_prompt_1, xlsum_hausa_prompt_2, xlsum_hausa_prompt_3, xlsum_igbo_prompt_1
xlsum_igbo_prompt_2, xlsum_igbo_prompt_3, xlsum_kirundi_prompt_1, xlsum_kirundi_prompt_2
xlsum_kirundi_prompt_3, xlsum_oromo_prompt_1, xlsum_oromo_prompt_2, xlsum_oromo_prompt_3
xlsum_pidgin_prompt_1, xlsum_pidgin_prompt_2, xlsum_pidgin_prompt_3, xlsum_prompt_1
xlsum_prompt_2, xlsum_prompt_3, xlsum_somali_prompt_1, xlsum_somali_prompt_2
xlsum_somali_prompt_3, xlsum_swahili_prompt_1, xlsum_swahili_prompt_2, xlsum_swahili_prompt_3
xlsum_tasks, xlsum_telugu_prompt_1, xlsum_telugu_prompt_2, xlsum_telugu_prompt_3
xlsum_tigrinya_prompt_1, xlsum_tigrinya_prompt_2, xlsum_tigrinya_prompt_3, xlsum_yoruba_prompt_1
xlsum_yoruba_prompt_2, xlsum_yoruba_prompt_3, xlum, xnli
xquad, xstorycloze, xsum, xwinograd
yahoo_answers_topics, zhoblimp
vlm_eval_kit — 375 benchmarks • Vision-language benchmarks ([VLMEvalKit](https://github.com/open-compass/VLMEvalKit))3DSRBench, A-Bench_TEST, A-Bench_VAL, A-OKVQA
A4Bench, AI2D_MINI, AI2D_TEST, AMBER
APhO_2025, AesBench_TEST, AesBench_VAL, Asclepius
AyaVisionBench, B, BLINK, BMMR
BMMR_mini, C, CCBench, CCOCR
CG-AV-Counting_32frame, CG-AV-Counting_64frame, CG-Bench_MCQ_Grounding, CG-Bench_MCQ_Grounding_Mini
CG-Bench_OpenEnded, CG-Bench_OpenEnded_Mini, CGAVCounting, CGBench_MCQ_Grounding_16frame_subs_subt_ft
CGBench_MCQ_Grounding_32frame_subs, CGBench_MCQ_Grounding_Mini_8frame_subs_subt, CGBench_OpenEnded_16frame_subs_subt_ft, CGBench_OpenEnded_8frame
CGBench_OpenEnded_Mini_8frame_subs_subt_ft, CMMMU_VAL, CMMU_MCQ, COCO_VAL
CRPE_EXIST, CRPE_RELATION, CV-Bench-2D, CV-Bench-3D
CVQA_EN, CVQA_LOC, CharXiv_descriptive_val, CharXiv_reasoning_val
ChartCap, ChartMimic_v1, ChartMimic_v2, ChartMuseum_dev
ChartMuseum_test, ChartQAPro, ChartQA_TEST, ChartX
CoreCognition, CountBenchQA, Creation_MMBench, DA-2K
DREAM-1K, DSRBench, DUDE, DUDE_MINI
Design2Code, Detailed_Difference, DocVQA_TEST, DocVQA_VAL
DynaMath, EMMA, ERIQ, ERQA
EgoExoBench_64frame, EgoExoBench_MCQ, EmbSpatialBench, EuPhO_2024
EuPhO_2025, F_MA_2024, F_MA_2025, FoxBench
GMAI-MMBench_TEST, GMAI-MMBench_VAL, GOBench, GQA_TestDev_Balanced
GSM8K-V, GroundingME, HRBench4K, HRBench8K
HallusionBench, HiPhO_ALL, IPhO_2024, IPhO_2025
InfoVQA_TEST, InfoVQA_VAL, Instance_Comparison, K-DTCBench
LEGO, LENS-CN-QA, LENS-CN-QA_MINI, LLaVABench
LiveMMBench_Creation, LiveMMBench_Infographic, LiveMMBench_Perception, LiveMMBench_Reasoning
LogicVista, LongVideoBench, M4Bench, MATBench
MEGABench, MIA-Bench, MLLMGuard_DS, MLVU
MM-HELIX, MM-IFEval, MM-Math, MMAlignBench
MMBench, MMBench-Video, MMCR, MMDU
MME, MME-RealWorld, MME-RealWorld-CN, MME-RealWorld-Lite
MME-Reasoning, MMESCI_EN, MMESCI_ES, MMESCI_FR
MMESCI_JA, MMESCI_VisionOnly, MMESCI_ZH, MMGenBench-Domain
MMGenBench-Test, MMLongBench_DOC, MMMB, MMMU_DEV_VAL
MMMU_Pro_10c, MMMU_Pro_V, MMMU_TEST, MMReason_testmini
MMSIBench_circular, MMSIBench_wo_circular, MMSIVideoBench, MMSci_DEV_Captioning_image_only
MMSci_DEV_Captioning_with_abs, MMSci_DEV_MCQ, MMStar, MMStar_MINI
MMT-Bench_ALL, MMT-Bench_VAL, MMVMBench, MMVP
MMVet, MMVet_Hard, MM_NIAH_TEST, MM_NIAH_VAL
MOAT, MSEarthMCQ, MTL_MMBench_DEV, MTVQA_TEST
MUIRBench, MVBench, MVTamperBench, MVTamperBenchEnd
MVTamperBenchStart, MVU-Eval, MaCBench, MathCanvas-Bench
MathVerse_MINI, MathVision, MathVision_MINI, MathVista_MINI
MedXpertQA_MM_test, MedqbenchCaption, MedqbenchMCQ, MedqbenchPairedDescription_dev
MedqbenchPairedDescription_test, MicroBench, MicroVQA, MindCubeBench_raw_qa
MindCubeBench_tiny_raw_qa, MovieChat1k, NBPhO_2024, NBPhO_2025
NaturalBenchDataset, OCRBench, OCRBench_MINI, OCRBench_v2
OCRVQA_TEST, OCRVQA_TESTCORE, OCR_Reasoning, OMTGBench
OST, OSWorld_G, OceanOCRBench, OlympiadBench
Omni3DBench, OmniDocBench, OmniEarth-Bench, OmniMedVQA
OmniSpatialBench, POPE, PanMechanics_2024, PanMechanics_2025
PanPhO_2024, PanPhO_2025, PathMMU_TEST, PathMMU_VAL
PathVQA_TEST, PathVQA_VAL, PhyX_MC, PhyX_OE
PhyX_mini_MC, PhyX_mini_OE, Physics, PlotQA
PuzzleVQA, Q-Bench1_TEST, Q-Bench1_VAL, QBench_Video
QSpatial_plus, QSpatial_scannet, R-Bench-Dis, R-Bench-Ref
RealWorldQA, ReasonMap-Plus, RefCOCO, RefSpatial
RefSpatial-Bench, RefSpatial-Bench-Location, RefSpatial-Bench-Placement, RefSpatial-Bench-Unseen
RefSpatial-Location, RefSpatial-Placement, RefSpatial-Unseen, RoboSpatialHome
SArena_MINI, SCAM, SEEDBench2, SEEDBench_IMG
SFE, SFE-zh, SLIDEVQA, SLIDEVQA_MINI
SPBench-MV, SPBench-SI, SSI_Bench, STI-Bench
ScienceQA_TEST, ScienceQA_VAL, ScreenSpot, ScreenSpot_Pro
ScreenSpot_v2, SeePhys, SimpleVQA, SiteBenchImage
SiteBenchVideo, SparBench, SparBench_tiny, Spatial457
SpatialEval, SpatialVizBench, Spatial_Perception, StareBench
State_Comparison, State_Invariance, StaticEmbodiedBench, T
TableVQABench, TallyQA, TaskMeAnything_v1_imageqa_random, TempCompass
TextVQA_VAL, TopViewRS, TreeBench, UniSVG
V, V2P-Bench, V2PBench_128frame_nopack, V2PBench_16frame_nopack
V2PBench_1fps_nopack, V2PBench_2frame_nopack, V2PBench_64frame_nopack, V2PBench_8frame_nopack
VBGD, VCR-Bench, VCRBench_16frame_nopack, VCRBench_1fps_nopack
VCRBench_32frame_nopack, VCRBench_64frame_nopack, VCRBench_8frame_nopack, VCR_EN_EASY_100
VCR_EN_EASY_500, VCR_EN_EASY_ALL, VCR_EN_HARD_100, VCR_EN_HARD_500
VCR_EN_HARD_ALL, VCR_ZH_EASY_100, VCR_ZH_EASY_500, VCR_ZH_EASY_ALL
VCR_ZH_HARD_100, VCR_ZH_HARD_500, VCR_ZH_HARD_ALL, VDC
VGRPBench, VL-RewardBench, VLADBench, VLM2Bench
VLMBias, VLMBlind, VLRMBench, VMCBench_DEV
VMCBench_TEST, VSI-Bench, VSI-Bench-Debiased, VSR-zeroshot
VStarBench, VenusBench-GD, Video-MME, Video-TT
VideoMMMU, Video_Holmes, Video_MMLU_CAP, Video_MMLU_QA
Video_TT_16frame, Video_TT_32frame, Video_TT_64frame, ViewSpatialBench
VisFactor, VisOnlyQA-VLMEvalKit, VisuLogic, VisualPuzzles
VizWiz, VsiSuperCount_10mins, VsiSuperCount_120mins, VsiSuperCount_30mins
VsiSuperCount_60mins, VsiSuperRecall_10mins, VsiSuperRecall_120mins, VsiSuperRecall_240mins
VsiSuperRecall_30mins, VsiSuperRecall_60mins, WeMath, WildDoc
WildVision, WorldMedQA-V, WorldSense, WorldVQA
XLRS-Bench-lite, ZEROBench, atomic_dataset, c
e, electro_dataset, h, hle
mechanics_dataset, moviechat1k_breakpoint_8frame, moviechat1k_global_14frame, moviechat1k_global_8frame_limit0.01
n, npmm, olmOCRBench, optics_dataset
quantum_dataset, statistics_dataset, tdbench_cs_depth, tdbench_cs_height
tdbench_cs_integrity, tdbench_cs_zoom, tdbench_grounding_rot0, tdbench_grounding_rot180
tdbench_grounding_rot270, tdbench_grounding_rot90, tdbench_rot0, tdbench_rot180
tdbench_rot270, tdbench_rot90, vlms_are_biased_main
Tested on Ubuntu with Python 3.10.2.
A CUDA GPU is required only for local model inference (the huggingface backend); the vllm/sglang/api/* backends run without a GPU.
# ffmpeg is needed for audio/video benchmarks.
# Java 11 is required for the pycocoevalcap SPICE / SPIDER metrics.
# Avoid newer JREs (Java 17+/21): their module-access tightening breaks the
# FST serialization library bundled with the SPICE jars.
sudo apt-get update && sudo apt-get install -y ffmpeg openjdk-11-jre-headless
sudo update-alternatives --set java /usr/lib/jvm/java-11-openjdk-amd64/bin/java
If you're an AI coding agent (e.g. Claude Code) working in this repo, you can use the setup-env skill at .claude/skills/setup-env instead of running install commands by hand.
Invoke it with /setup-env (or with trigger phrases like "install env", "setup environment").
The skill:
.omni_<group>, uv, Python 3.10.2) so mutually-exclusive extras never clash.pyproject.toml as the source of truth for pinned commits, and prefers submodule-first installs over pip+git.import verification at the end.First install the system prerequisites (Prerequisites) — the skill manages the Python environment only.
If you're setting up the environment manually, we strongly recommend uv for fast, reproducible installs.
1. Create and activate a virtual environment
# install uv (if you don't have it), then create the env
uv venv ~/.omni --python=3.10.2
source ~/.omni/bin/activate
2. Clone and install
git clone https://github.com/naver-ai/omni-evaluator.git
cd omni-evaluator
uv pip install -e ".[lmms_eval,lm_eval]" --cache-dir=/tmp
uv pip install flash-attn --no-build-isolation # optional; requires CUDA compute capability >= 8.0
python -m nltk.downloader all
3. (Optional) Install extras — install extras for the specific evaluation engines and models you plan to use. See Optional Dependencies.
That's it — head to the Quick Start. If you hit a snag during install, check Troubleshooting.
Install extras according to the evaluation engine and model you intend to use. Each extras group pins different dependency versions, so installing multiple extras at once may cause version conflicts — when in doubt, reinstall with a single group before running.
| Extra | Package | Repository | Commit | Verified |
|---|---|---|---|---|
lmms_eval | lmms_eval | EvolvingLMMs-Lab/lmms-eval | 540724a | 2026.03.14 |
lm_eval | lm_eval | EleutherAI/lm-evaluation-harness | d800e04 | 2026.03.14 |
vlmeval | vlmeval | open-compass/VLMEvalKit | 0080421 | 2026.03.14 |
pip install -e ".[lmms_eval]" # single install
pip install -e ".[lmms_eval,lm_eval]" # multiple install
Note: Installing some engines via
pip install -e(pip+git) can drop files — e.g.vlmevalis missing__init__.pyin some upstream modules, which causes import errors. When that happens, clone the submodule yourself at the commit pinned inpyproject.tomland install from the local path:
# Example: lmms_eval — clone under submodules/ at the pinned hash, then install editable
git clone https://github.com/EvolvingLMMs-Lab/lmms-eval.git submodules/lmms-eval
cd submodules/lmms-eval
git checkout 540724a5250672b03dc6a6b4b38cff39d5868eb6 # rev pinned in pyproject.toml
uv pip install -e . --cache-dir=/tmp
Additional packages required only when running inference on specific models with the huggingface backend.
Not needed for vllm, sglang, or api/*.
| Extra | Package (Version) | Repository / Source | Commit | Verified | Inference Engine / Model |
|---|---|---|---|---|---|
deepseek_vl | deepseek_vl | deepseek-ai/DeepSeek-VL | 681bffb | 2026.02.04 | huggingface / deepseek_vl |
emu3 | emu3 | baaivision/Emu3 | 9d0ae34 | 2025.12.25 | huggingface / emu3 |
janus | janus | deepseek-ai/Janus | 1daa72f | 2025.12.25 | huggingface / janus, janus_pro |
minicpmo | minicpmo (0.1.2), minicpmo-utils[all], onnx, onnxruntime, hyperpyyaml | PyPI | - | - | huggingface / mini_cpm_o |
voxtral | mistral-common[audio] (>=1.5.0) | PyPI | - | - | huggingface / voxtral |
pip install -e ".[janus]" # single install
pip install -e ".[janus,emu3]" # multiple install
minicpmo extras, the following packages must be pinned to exact versions:
uv pip install peft==0.17.1 transformers==4.51.0 vector_quantize_pytorch vocos
mistral-common[audio] (from mistral_common.audio import Audio).Three evaluation-related submodules (CharXiv, Tar, VoiceBench) are research codebases without Python packaging metadata. Custom setup.py wrappers are provided in submodules/_packaging/ to make them pip-installable.
| Submodule | Package | Purpose | Processed in |
|---|---|---|---|
CharXiv | charxiv | Chart understanding evaluation for multimodal LLMs | evaluation/builtin/tasks/charxiv_*, omni_bench_test |
Tar | ta_tok | Text-aligned visual tokenizer (TaTok) | modules/image_generation/ta_tok/ |
VoiceBench | voice_bench | Voice assistant evaluation benchmark | evaluation/builtin/tasks/voice_bench_test |
git submodule update --init submodules/CharXiv
cp -r submodules/_packaging/CharXiv/* submodules/CharXiv/
pip install submodules/CharXiv
Repeat for Tar, VoiceBench.
Install caveats (the wrappers leave
install_requiresempty so the install never downgrades the project's pinned stack —transformers>=4.57,datasets>=4.0; install with--no-deps):
- CharXiv uses bare intra-package imports (
from constants import ...). Thecharxiv_*task shims this at runtime (sys.modules["constants"] = charxiv.constants), so it works as-is once installed — no manual fix needed.- VoiceBench's evaluators need a few lightweight import-time deps the wrapper omits — install
qa_metricsand thecontractionschain (contractions textsearch pyahocorasick anyascii) with--no-deps. Do not install its fullrequirements.txt(transformers==4.47/datasets==3.0conflict with the modern venv); the eval path uses an OpenAI API judge, not local whisper/litgpt.
These submodules ship their own packaging metadata (setup.py or pyproject.toml) and can be installed directly.
| Submodule | Package | Purpose | Task | Processed in |
|---|---|---|---|---|
tau-bench | tau_bench | Tool-agent user benchmark | tau_bench_test | evaluation/builtin/tasks/tau_bench_test |
tau2-bench | tau2 | Tool-agent user benchmark v2 | tau2_bench_test | evaluation/builtin/tasks/tau2_bench_test, live_code_bench_test |
git submodule update --init submodules/tau-bench submodules/tau2-bench
pip install submodules/tau-bench submodules/tau2-bench
These submodules provide evaluation data only and do not require installation.
| Submodule | Purpose | Task | Processed in |
|---|---|---|---|
MultimodalOCR | OCRBench / OCRBench v2 evaluation data | ocr_bench_test, ocr_bench_v2_test | evaluation/builtin/tasks/ocr_bench_test, ocr_bench_v2_test |
git submodule update --init submodules/MultimodalOCR
The Quick Start runs one image-text benchmark end-to-end.
It evaluates Qwen2.5-Omni-3B on the local huggingface backend against textvqa_val from the lmms_eval engine.
A CUDA GPU and a one-time model download (~7 GB) are required; the run uses --debug mode (3 samples), so it finishes within a couple of minutes.
1. Configure .env. Copy the template (git-ignored, auto-loaded at runtime via dotenv), then fill in only what your run needs:
cp .env.example .env
# ── HuggingFace — required for the Quick Start below (huggingface backend) ──
HF_TOKEN="hf_..." # required by the huggingface engine; any non-empty value works for public models
HF_HOME="/mnt/tmp/hf" # point large model / dataset downloads to a volume with free space —
HF_HUB_CACHE="${HF_HOME}/hub" # keeps the home / root volume from filling up
# ── Inference-engine API keys — only for the api/* and vllm backends ──
OPENAI_API_KEY="sk-..." # api/openai
ANTHROPIC_API_KEY="sk-ant-..." # api/anthropic
GOOGLE_API_KEY="..." # api/google
VLLM_API_KEY="..." # vllm
# ── S3 (S3ClientArgs) — only when builtin benchmarks pull their data from S3 ──
S3_BUCKET_NAME="..." S3_ACCESS_KEY="..." S3_SECRET_KEY="..." S3_ENDPOINT_URL="..."
Additional submodule / external-library variables (VLMEvalKit, lmms-eval, tau-bench, experiment tracking, proxy, …) live in
.env.exampleunder SECTION 2 — copy what you need.
2. Run one benchmark:
CUDA_VISIBLE_DEVICES=0 python run.py evaluate \
--inference_engine="huggingface" \
--model_name_or_path="Qwen/Qwen2.5-Omni-3B" \
--evaluation_engine="lmms_eval" \
--benchmarks="textvqa_val" \
--exp_name="quickstart" \
--output_dirpath="/mnt/tmp/omni_output" \
--torch_dtype="bfloat16" \
--debug \ # Only 3 samples are used
--do_async \
--verbose
3. Expected output. You'll see a one-time model download, then inference and scoring (abridged):
INFO Set `exp_name`: debug__quickstart__huggingface
INFO Set `output_dirpath`: /mnt/tmp/omni_output/debug__quickstart__huggingface/checkpoint-none/lmms_eval
INFO Execute inference
... (one-time model download, then inference on 3 samples — --debug)
INFO Saved output: /mnt/tmp/omni_output/debug__quickstart__huggingface/checkpoint-none/lmms_eval/output/textvqa_val__generation.json
# EvaluationOutput [textvqa_val] (huggingface/lmms_eval)
- evaluation_method : generation
- num_samples : 3.0000
- coverage_inference : 1.0000
- coverage_evaluation : 1.0000
- metrics (overall) :
- exact_match : 1.0000
- exact_match_stderr: 0.0000
Results are written under your output directory, organized as:
<output_dir>/<exp_name>/<version>/<evaluation_engine>/output/<benchmark>__<method>.json
No GPU? Swap in an API backend instead — e.g.
--inference_engine="api/openai" --api_name="gpt-4o"with--evaluation_engine="builtin" --benchmarks="mmbench_en_dev"(setOPENAI_API_KEYin.env). This needs no GPU and no model download (see the Engine-specific Guides).
Everything runs through a single entry point — python run.py — and the entire CLI is covered by just two subcommands:
python run.py [-h] {list,evaluate} ...
| Subcommand | What it's for |
|---|---|
list | Discover what you can run — the available inference / evaluation engines and their tasks |
evaluate | Run an evaluation end-to-end (identical to python evaluate.py) |
The usual flow is two steps: list to find an engine and task, then evaluate to run it. Running with no arguments prints help.
list — Query available engines and tasks# List inference engines
python run.py list --inference_engines
# → ['huggingface', 'vllm', 'sglang', 'api/openai', 'api/anthropic', 'api/google']
# List evaluation engines
python run.py list --evaluation_engines
# → ['builtin', 'lmms_eval', 'lm_eval_harness', 'vlm_eval_kit']
# List tasks for a specific evaluation engine
python run.py list --tasks --evaluation_engine="builtin"
| Flag | Description |
|---|---|
--inference_engines | Print available inference engines |
--evaluation_engines | Print available evaluation engines |
--tasks | Print tasks for an engine. Must be used with --evaluation_engine |
--evaluation_engine | Engine to query: builtin, lmms_eval, lm_eval_harness, vlm_eval_kit |
--tasksrequires--evaluation_engine. Queryinglmms_eval,lm_eval_harness, orvlm_eval_kitrequires the corresponding optional dependency to be installed.
evaluate — Run evaluationpython run.py evaluate behaves identically to python evaluate.py. For engine-specific arguments and example commands, see the Engine-specific Guides below.
Common arguments
| Argument | Default | Description |
|---|---|---|
--inference_engine | (required) | Inference backend: huggingface, vllm, sglang, api/openai, api/anthropic, api/google |
--evaluation_engine | builtin | Evaluation framework: builtin, lmms_eval, lm_eval_harness, vlm_eval_kit |
--exp_name | (required) | Experiment name used for the result directory and display |
--benchmarks | (engine default) | Comma-separated list of benchmark names |
--do_async | false | Enable asynchronous parallel requests |
--resume | false | Skip benchmarks that already have saved results |
--skip_inference | false | Skip inference and reuse existing results |
--reasoning | false | Enable reasoning mode |
--reasoning_effort | None | Reasoning effort for OpenAI o-series: low, medium, high |
--thinking_budget | None | Thinking token budget for Anthropic/Google thinking models |
--debug | false | Debug mode with reduced dataset |
--seed | None | Random seed (vLLM, SGLang) |
Generation options are shared across engines via GenerationOptionArgs. Each engine uses only the subset it supports — unsupported options are silently dropped. See each engine's README for per-engine support.
| Argument | Default | Description |
|---|---|---|
--temperature | None | Sampling temperature |
--top_p | None | Top-p (nucleus) sampling threshold |
--top_k | None | Top-k filtering (not supported by OpenAI) |
--num_beams | None | Beam search width (HuggingFace only) |
--max_new_tokens | None | Maximum new tokens to generate |
--repetition_penalty | None | Repetition penalty; maps to frequency_penalty for OpenAI/Google |
--length_penalty | None | Length penalty (HuggingFace only) |
--stop_words | None | Comma-separated stop sequences |
--frequency_penalty | None | Frequency penalty (OpenAI, Google) |
--presence_penalty | None | Presence penalty (OpenAI, Google) |
--n | None | Number of independent output sequences (vLLM, SGLang, OpenAI) |
--logprobs | None | Number of log-probability tokens per step (vLLM, SGLang, OpenAI) |
--top_logprobs | None | Top token log probabilities to return (OpenAI only) |
--do_sample | None | Enable sampling; None uses model default (HuggingFace only) |
For detailed arguments, required environment variables, and example run commands, see each engine's README:
| Engine Type | Engine | README |
|---|---|---|
| Inference | huggingface | omni_evaluator/inference/huggingface/ |
| Inference | vllm | omni_evaluator/inference/vllm/ |
| Inference | api/openai, api/anthropic, api/google | omni_evaluator/inference/api/ |
| Evaluation | builtin | omni_evaluator/evaluation/builtin/ |
| Evaluation | lmms_eval | omni_evaluator/evaluation/lmms_eval/ |
| Evaluation | lm_eval_harness | omni_evaluator/evaluation/lm_eval_harness/ |
| Evaluation | vlm_eval_kit | omni_evaluator/evaluation/vlm_eval_kit/ |
Run evaluations locally with python run.py evaluate or the equivalent python evaluate.py. Run with --help to see every option.
Useful flags
--resume — when running multiple benchmarks, skip those that already have saved results.--skip_inference — reuse existing inference results and re-run only the evaluation (e.g. with different eval parameters).lmms_eval and vlm_eval_kit may take several minutes or more to load datasets.launch_server.py is a FastAPI-based job-queue server for submitting, querying, and deleting evaluation jobs over HTTP.
Start the server
python launch_server.py \
--host 0.0.0.0 \
--port 8080 \
--base "python evaluate.py" \
--max_concurrent 1 \
--log_dir "./logs"
| Argument | Description | Default |
|---|---|---|
--host | Server bind address | 0.0.0.0 |
--port | Server port | 8080 |
--base | Base command to execute | python evaluate.py |
--max_concurrent | Maximum number of concurrent jobs | 1 |
--log_dir | Directory for job logs | ./logs |
POST /add_job — Add a job
# Pass arguments as a string
curl -X POST http://localhost:8080/add_job \
-H "Content-Type: application/json" \
-d '{"arguments": "--task=docvqa --model_path=/path/to/model"}'
# Pass arguments as a dict
curl -X POST http://localhost:8080/add_job \
-H "Content-Type: application/json" \
-d '{"arguments": {"task": "docvqa", "model_path": "/path/to/model"}}'
POST /get_state — Query job status
curl -X POST http://localhost:8080/get_state \
-H "Content-Type: application/json" \
-d '{"pid": "<job_pid>"}'
Status: pending → inprogress → completed / failed / terminated
POST /remove_job — Remove/terminate a job
curl -X POST http://localhost:8080/remove_job \
-H "Content-Type: application/json" \
-d '{"pid": "<job_pid>"}'
GET /jobs — List all jobs
curl http://localhost:8080/jobs
Common setup and runtime issues, grouped by where they occur. Expand a group to see fixes.
flash-attn fails to build or import
Cause: GPU compute capability below 8.0. flash-attn is optional.
Fix: install only on a GPU with compute capability ≥ 8.0:
uv pip install flash-attn --no-build-isolation
mini_cpm_o doesn't work even after installing the minicpmo extras
Cause: a few packages aren't version-pinned by the extras group.
Fix: pin them explicitly:
uv pip install peft==0.17.1 transformers==4.51.0 vector_quantize_pytorch vocos
voxtral audio import fails (from mistral_common.audio import Audio)
Cause: the mistral-common audio extra is missing.
Fix:
pip install "mistral-common[audio]"
SPICE / SPIDER metrics crash on Java 17 or 21 Cause: newer JREs tighten module access, which breaks the FST serialization library bundled with the SPICE jars. Fix: use Java 11:
sudo apt-get install -y openjdk-11-jre-headless
sudo update-alternatives --set java /usr/lib/jvm/java-11-openjdk-amd64/bin/java
pycocoevalcap fails to download Stanford CoreNLP (urllib.error.ContentTooShortError)
Cause: the runtime auto-download is unreliable.
Fix: pre-fetch the two jars from Maven Central and place them under <pycocoevalcap>/spice/lib/:
SPICE_LIB="$(python -c 'import pycocoevalcap, os; print(os.path.join(os.path.dirname(pycocoevalcap.__file__), "spice", "lib"))')"
curl -L --retry 5 -o "$SPICE_LIB/stanford-corenlp-3.6.0.jar" \
https://repo1.maven.org/maven2/edu/stanford/nlp/stanford-corenlp/3.6.0/stanford-corenlp-3.6.0.jar
curl -L --retry 5 -o "$SPICE_LIB/stanford-corenlp-3.6.0-models.jar" \
https://repo1.maven.org/maven2/edu/stanford/nlp/stanford-corenlp/3.6.0/stanford-corenlp-3.6.0-models.jar
unbabel-comet is rejected by the resolver (uv / modern pip)
Cause: COMET hard-pins transformers<5, torchmetrics<0.11, etc., which conflict with the project's modern stack. The runtime works fine despite those metadata pins.
Fix: install without dependencies:
uv pip install --no-deps --cache-dir=/tmp unbabel-comet
COMET is only needed for fleurs_en2ko_test, fleurs_en2zh_test, fleurs_ko2en_test, fleurs_zh2en_test — skip it otherwise.
vlmeval import errors after a pip+git install
Cause: some upstream modules are missing __init__.py files.
Fix: clone the repository manually and install from the local path:
cd submodules
git clone https://github.com/open-compass/VLMEvalKit.git
cd VLMEvalKit && git checkout 0080421
uv pip install -e . --cache-dir=/tmp
Version conflicts after installing multiple extras at once Cause: each extras group pins different dependency versions. Fix: reinstall with a single extras group before running an evaluation:
pip install -e ".[lmms_eval]" # one group at a time
Extras dependencies are broken or incomplete
Fix: install the base package first, then install each evaluation engine manually from submodules/:
cd submodules
git clone https://github.com/EvolvingLMMs-Lab/lmms-eval.git
cd lmms-eval
git checkout 540724a
uv pip install -e . --cache-dir=/tmp
OmniEvaluator
Copyright (c) 2026-present NAVER Cloud Corp.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
implied. See the License for the specific language governing
permissions and limitations under the License.
11 commits
Python
94.4%
JavaScript
3.2%
HTML
1.3%
CSS
1.1%
Run 2,000+ LLM/VLM benchmarks — across text, image, video, and audio — with a single command.
OmniEvaluator wires together 4 inference backends and 5 evaluation frameworks behind one CLI, so you don't have to learn (or reimplement) each framework separately. Existing evaluators stay interoperable through a shared intermediate schema, and every run emits a provenance-rich artifact that captures the full configuration needed to reproduce it.
Evaluating a model today usually means juggling several incompatible benchmark suites, each with its own data format, runner, and quirks. OmniEvaluator removes that friction.
huggingface, vllm, sglang, or an api client such as api/openai, api/gemini, api/claude) and an evaluation engine (builtin, lmms_eval, lm_eval_harness, vlm_eval_kit) — any combination runs from the same command shape.OmniEvaluator offers 2,820+ benchmarks across four evaluation engines and five modalities. Counts are based on base benchmarks and exclude variant counts. For example, evaluation-protocol variants (_zeroshot, _cot, _n_shot, _generative, _fewshot, _direct, …) and video-frame variants (_8frames, _64frames, _128frames) collapse into a single entry. Conversely, subset markers that identify a different benchmark (_pro, _redux, _hard, _diamond, _extended, _main, _mini, _v2) are preserved as independent entries.
| Evaluation Engine | Text | Image | Audio | Video | Total |
|---|---|---|---|---|---|
builtin | 5 | 13 | 25 | — | 43 |
lmms_eval | — | 401 | 5 | 10 | 416 |
lm_eval_harness | 1,986 | — | — | — | 1,986 |
vlm_eval_kit | — | 368 | — | 7 | 375 |
| All engines | 1,991 | 782 | 30 | 17 | 2,820 |
# List supported benchmarks
python run.py list --tasks --evaluation_engine="<engine_name>"
builtin — 43 benchmarks • Vision, document understanding, math, multi-image, audio, video, Korean benchmarkscharxiv_descriptive_validation, charxiv_reasoning_validation, clotho_aqa_test, cochlscene_test
common_voice_15_en_test, covost2_en2zh_test, covost2_zh2en_test, cruxeval_o_test
fleurs_en2ko_test, fleurs_en2zh_test, fleurs_en_test, fleurs_ko2en_test
fleurs_ko_test, fleurs_zh2en_test, fleurs_zh_test, gtzan_test
haerae_vision_dev, hike_test, hle_test, hmmt_nov_2025_test
imo_answer_bench_test, kdtcbench_test, kmmbench_dev, kmmstar_validation
kseed_test, librispeech_test_clean, librispeech_test_other, m3cot_test
meld_emotion_test, meld_sentiment_test, mmau_pro_test, mmau_test
mmau_test_mini, mmmu_validation, mmvet_test, mmvet_v2_test
mu_chomusic_test, omni_bench_test, polymath_en_test, vlms_are_biased_test
vocal_sound_test, voice_bench_test, zebralogic_mc_test
lmms_eval — 416 benchmarks • Multimodal benchmarks ([lmms-eval](https://github.com/EvolvingLMMs-Lab/lmms-eval))3dsrbench, ConBench, FALCONBench_mcq, FALCONBench_oq
VisualPuzzles, abench_dev, activitynetqa, ai2_arc
ai2d, ai2d_lite, aime24_agg8_reasoning, aime24_aldata_al_agg8
aime24_figures, aime24_nofigures, aime25_agg8_reasoning, aime25_aldata_al_agg8
aime25_nofigures, aime_2024_agg8, aime_2024_rebase, aime_figures
aime_nofigures, aime_reasoning, air_bench_chat, air_bench_foundation
alpaca_audio, amber_g, ami, anet_qa
arc_agi_1, arc_agi_2, arc_challenge, arc_easy
auxsolidmath, auxsolidmath_easy, auxsolidmath_hard, av_asr
av_odyssey, av_speakerbench_audio, av_speakerbench_audiovisual, av_speakerbench_visual
babyvision, background_test, blink, browsecomp
camera_test, camerabench_vqa, capability, captionqa
chain_of_thought, chartqa, chartqa_lite, chartqapro
charxiv, cinepile, clotho_aqa, clotho_asqa_test_v2
cmmmu, cn_college_listen_mcq_test, coco2014_cap, coco2017_cap
coco_cap, coco_caption, coco_caption2017, coco_karpathy
common_voice_15, corecognition, countbench, countbenchqa
countix, covost2, csbench, cuva
cv_bench, cvrr, d170_cn, d170_en
dc100_en, dc200_cn, detailcaps, detailed_test
docvqa, dream_tts_mcq_test, dtcbench, dude
dynamath_reasoning, egoplan, egosch_a, egoschema
egotempo, egothink, embspatial, emma
emma-mini, erqa, europal_asr, ferret
fgqa_test, fleurs, flickr30k, fsc147
funqa, gedit_bench, geometry3k, gigaspeech
gpqa, gpqa_diamond, gpqa_extended, gpqa_main
gqa, gqa-ru, gqa_lite, groundingme
gsm8k, hallusion_bench_image, hd_epic_vqa, hellaswag
hipho, hrbench, hrbench4k, hrbench8k
iconqa, ifeval, ii-bench, illusionbench
illusionvqa, imgedit, infovqa
jailbreak, jmmmu, jmmmu_pro, k12
kris_bench, lemonade, librispeech, live_bench
livexiv_tqa, livexiv_tqa_v2, livexiv_tqa_v3, livexiv_vqa
livexiv_vqa_v2, livexiv_vqa_v3, llava_bench_coco, llava_in_the_wild
llava_interleave_bench, llava_wilder_small, logicvista_reasoning, longtimescope
longvideobench_no_visual, longvideobench_random_choice, longvideobench_test_i, longvideobench_test_v
longvideobench_val_i, longvideobench_val_v, longvt, lsdbench
lvbench, main_object_test, mantis, math_word_problems
mathcanvas, mathkangaroo, mathverse, mathvision_reason_test
mathvision_reason_testmini, mathvision_test, mathvision_testmini, mathvista
medqa, megabench, mia_bench, mindcube_full
mindcube_tiny, minerva, mirb, mix_evals_audio2text
mix_evals_audio2text_hard, mix_evals_image2text, mix_evals_image2text_hard, mix_evals_video2text
mix_evals_video2text_hard, mle_bench, mlvu_dev, mlvu_test
mmaad_base, mmaad_instruction, mmaad_option, mmar
mmau, mmbench, mme, mmerealworld
mmerealworld_lite, mmiasd_base, mmiasd_instruction, mmiasd_option
mmie, mmivqd_base, mmivqd_instruction, mmivqd_option
mmlongbench, mmlu, mmlu_pro, mmmu
mmmu_pro, mmrefine, mmsearch, mmsi_bench
mmsi_video, mmstar, mmsu, mmt
mmupd, mmvet, mmvetv2, mmvp
mmvu_val, mmworld, motionbench, motionbench_full
moviechat_breakpoint, moviechat_global, mtvqa, muchomusic
muirbench, multidocvqa, multimodal_rewardbench, multiple_choice
mvbench, naturalbench, naverclip, neptune
neptune_full_i, neptune_full_v, nextqa, nocaps
o3, ocrbench, ocrbench_v2, officeqa
ok_vqa, olympiadbench, omni_bench, omnidocbench
omnispatial_test, open_asr_ami, open_asr_common_voice, open_asr_earnings22
open_asr_gigaspeech, open_asr_librispeech_test_clean, open_asr_librispeech_test_other, open_asr_spgispeech
open_asr_tedlium, open_asr_voxpopuli, openai_math, openasr
openhermes, openslr_librispeech, osi_bench, osworld_g
ovo_backward, ovo_forward, ovo_realtime, ovobench
ovr_kinetics, p3, paibench_u, people_speech_val
perceptiontest_test_mc, perceptiontest_test_mcppl, perceptiontest_val_mc, perceptiontest_val_mcppl
phyx, phyx_mini_mc, phyx_mini_oe, pixmo_count
pointbench, pope, pope_full, prismm_bench_identification
prismm_bench_pair_match, prismm_bench_remedy, public_eval_gemini3_family, public_eval_gpt5_family
public_eval_qwen3_5_family, public_eval_seed2_family, qbench2_dev, qbench_dev
qbenchs_dev, rcap_test, rdcap_test, realunify
realworldqa, redteam, refcoco, refcoco+
refcocog, refspatial, repcount, rewardbench
rtloc_test, saco_gold, safety, scibench
scienceqa, scienceqa_full, scivideobench, screenspot
screenspot_pro, screenspot_v2, seedbench, seedbench_lite
seephys, self_consistency, sgqa_test, short_test
simplevqa, site_bench_image, site_bench_video, snsbench
song_describer, sparbench, sparbench_tiny, spatial457
spatialtreebench, spatialviz_full, ssv2, stare_2d_text_instruct
stare_2d_va, stare_3d_text_instruct, stare_3d_va, stare_folding_nets
stare_full, stare_perspective, stare_tangram_puzzle, stare_temporal
step2_audio_paralinguistic, structeditbench, stvqa, super_gpqa
synthdog, tau2_bench_telecom, tedlium_dev_test, tedlium_long_form
tempcompass, temporal_grounding_charades, temporalbench, textcaps
textvqa, timescope, tomato, tvbench
ueval, uni_mmmu, vatex, vcr_wiki_en_easy
vcr_wiki_en_hard, vcr_wiki_zh_easy, vcr_wiki_zh_hard, vending_bench2
vggsound, vibe_eval, video_dc499, video_mmmu
video_qa, videochatgpt, videoevalpro, videomathqa_mbin
videomathqa_mcq, videomme, videott_all, videott_correctly_led_oe
videott_no_leading_oe, videott_paraphrase_oe, videott_single_mc, videott_wrongly_led_oe
viewspatial, vinoground, visres_bench, visual_reasoning_collection
visualwebbench_action_ground, visualwebbench_action_prediction, visualwebbench_element_ground, visualwebbench_element_ocr
visualwebbench_heading_ocr, visualwebbench_web_caption, visualwebbench_webqa, visulogic
vitatecs, viverbench, vizwiz_vqa, vl_rewardbench
vlms_are_biased, vlmsareblind, vlmsareblind_lite, vmcbench
vocalsound_test, vocalsound_val, voicebench, voxpopuli
vpct, vqav2, vsibench, vstar_bench
wavcaps, websrc, wemath_testmini_reasoning, wenet_speech
where2place, wildvision, worldqa, worldsense
worldvqa, xlrs-lite, youcook2_val, zerobench
lm_eval_harness — 1,986 benchmarks • Text-only benchmarks ([lm-evaluation-harness](https://github.com/EleutherAI/lm-evaluation-harness))20_newsgroups, AraDiCE, RC_tasks, aclue
acp_app_bool, acp_app_gen, acp_app_mcq, acp_areach_bool
acp_areach_gen, acp_areach_mcq, acp_bench, acp_bench_hard
acp_bool_cot_2shot, acp_gen_2shot, acp_just_bool, acp_just_gen
acp_just_mcq, acp_land_bool, acp_land_gen, acp_land_mcq
acp_mcq_cot_2shot, acp_nexta_gen, acp_prog_bool, acp_prog_gen
acp_prog_mcq, acp_reach_bool, acp_reach_gen, acp_reach_mcq
acp_val_bool, acp_val_gen, acp_val_mcq, adr
advanced_ai_risk, aexams, african_flores, african_ntrex
afridiacritics_bbj_prompt_1, afridiacritics_bbj_prompt_2, afridiacritics_bbj_prompt_3, afridiacritics_bbj_prompt_4
afridiacritics_bbj_prompt_5, afridiacritics_fon_prompt_1, afridiacritics_fon_prompt_2, afridiacritics_fon_prompt_3
afridiacritics_fon_prompt_4, afridiacritics_fon_prompt_5, afridiacritics_ibo_prompt_1, afridiacritics_ibo_prompt_2
afridiacritics_ibo_prompt_3, afridiacritics_ibo_prompt_4, afridiacritics_ibo_prompt_5, afridiacritics_wol_prompt_1
afridiacritics_wol_prompt_2, afridiacritics_wol_prompt_3, afridiacritics_wol_prompt_4, afridiacritics_wol_prompt_5
afridiacritics_yor_prompt_1, afridiacritics_yor_prompt_2, afridiacritics_yor_prompt_3, afridiacritics_yor_prompt_4
afridiacritics_yor_prompt_5, afrimgsm-irokobench, afrimgsm_amh_prompt_1, afrimgsm_amh_prompt_2
afrimgsm_amh_prompt_3, afrimgsm_amh_prompt_4, afrimgsm_amh_prompt_5, afrimgsm_cot-irokobench
afrimgsm_cot_amh_prompt_1, afrimgsm_cot_amh_prompt_2, afrimgsm_cot_amh_prompt_3, afrimgsm_cot_amh_prompt_4
afrimgsm_cot_amh_prompt_5, afrimgsm_cot_eng_prompt_1, afrimgsm_cot_eng_prompt_2, afrimgsm_cot_eng_prompt_3
afrimgsm_cot_eng_prompt_4, afrimgsm_cot_eng_prompt_5, afrimgsm_cot_ewe_prompt_1, afrimgsm_cot_ewe_prompt_2
afrimgsm_cot_ewe_prompt_3, afrimgsm_cot_ewe_prompt_4, afrimgsm_cot_ewe_prompt_5, afrimgsm_cot_fra_prompt_1
afrimgsm_cot_fra_prompt_2, afrimgsm_cot_fra_prompt_3, afrimgsm_cot_fra_prompt_4, afrimgsm_cot_fra_prompt_5
afrimgsm_cot_hau_prompt_1, afrimgsm_cot_hau_prompt_2, afrimgsm_cot_hau_prompt_3, afrimgsm_cot_hau_prompt_4
afrimgsm_cot_hau_prompt_5, afrimgsm_cot_ibo_prompt_1, afrimgsm_cot_ibo_prompt_2, afrimgsm_cot_ibo_prompt_3
afrimgsm_cot_ibo_prompt_4, afrimgsm_cot_ibo_prompt_5, afrimgsm_cot_kin_prompt_1, afrimgsm_cot_kin_prompt_2
afrimgsm_cot_kin_prompt_3, afrimgsm_cot_kin_prompt_4, afrimgsm_cot_kin_prompt_5, afrimgsm_cot_lin_prompt_1
afrimgsm_cot_lin_prompt_2, afrimgsm_cot_lin_prompt_3, afrimgsm_cot_lin_prompt_4, afrimgsm_cot_lin_prompt_5
afrimgsm_cot_lug_prompt_1, afrimgsm_cot_lug_prompt_2, afrimgsm_cot_lug_prompt_3, afrimgsm_cot_lug_prompt_4
afrimgsm_cot_lug_prompt_5, afrimgsm_cot_orm_prompt_1, afrimgsm_cot_orm_prompt_2, afrimgsm_cot_orm_prompt_3
afrimgsm_cot_orm_prompt_4, afrimgsm_cot_orm_prompt_5, afrimgsm_cot_sna_prompt_1, afrimgsm_cot_sna_prompt_2
afrimgsm_cot_sna_prompt_3, afrimgsm_cot_sna_prompt_4, afrimgsm_cot_sna_prompt_5, afrimgsm_cot_sot_prompt_1
afrimgsm_cot_sot_prompt_2, afrimgsm_cot_sot_prompt_3, afrimgsm_cot_sot_prompt_4, afrimgsm_cot_sot_prompt_5
afrimgsm_cot_swa_prompt_1, afrimgsm_cot_swa_prompt_2, afrimgsm_cot_swa_prompt_3, afrimgsm_cot_swa_prompt_4
afrimgsm_cot_swa_prompt_5, afrimgsm_cot_tasks, afrimgsm_cot_translate_amh_prompt_1, afrimgsm_cot_translate_amh_prompt_2
afrimgsm_cot_translate_amh_prompt_3, afrimgsm_cot_translate_amh_prompt_4, afrimgsm_cot_translate_amh_prompt_5, afrimgsm_cot_translate_ewe_prompt_1
afrimgsm_cot_translate_ewe_prompt_2, afrimgsm_cot_translate_ewe_prompt_3, afrimgsm_cot_translate_ewe_prompt_4, afrimgsm_cot_translate_ewe_prompt_5
afrimgsm_cot_translate_fra_prompt_1, afrimgsm_cot_translate_fra_prompt_2, afrimgsm_cot_translate_fra_prompt_3, afrimgsm_cot_translate_fra_prompt_4
afrimgsm_cot_translate_fra_prompt_5, afrimgsm_cot_translate_hau_prompt_1, afrimgsm_cot_translate_hau_prompt_2, afrimgsm_cot_translate_hau_prompt_3
afrimgsm_cot_translate_hau_prompt_4, afrimgsm_cot_translate_hau_prompt_5, afrimgsm_cot_translate_ibo_prompt_1, afrimgsm_cot_translate_ibo_prompt_2
afrimgsm_cot_translate_ibo_prompt_3, afrimgsm_cot_translate_ibo_prompt_4, afrimgsm_cot_translate_ibo_prompt_5, afrimgsm_cot_translate_kin_prompt_1
afrimgsm_cot_translate_kin_prompt_2, afrimgsm_cot_translate_kin_prompt_3, afrimgsm_cot_translate_kin_prompt_4, afrimgsm_cot_translate_kin_prompt_5
afrimgsm_cot_translate_lin_prompt_1, afrimgsm_cot_translate_lin_prompt_2, afrimgsm_cot_translate_lin_prompt_3, afrimgsm_cot_translate_lin_prompt_4
afrimgsm_cot_translate_lin_prompt_5, afrimgsm_cot_translate_lug_prompt_1, afrimgsm_cot_translate_lug_prompt_2, afrimgsm_cot_translate_lug_prompt_3
afrimgsm_cot_translate_lug_prompt_4, afrimgsm_cot_translate_lug_prompt_5, afrimgsm_cot_translate_orm_prompt_1, afrimgsm_cot_translate_orm_prompt_2
afrimgsm_cot_translate_orm_prompt_3, afrimgsm_cot_translate_orm_prompt_4, afrimgsm_cot_translate_orm_prompt_5, afrimgsm_cot_translate_sna_prompt_1
afrimgsm_cot_translate_sna_prompt_2, afrimgsm_cot_translate_sna_prompt_3, afrimgsm_cot_translate_sna_prompt_4, afrimgsm_cot_translate_sna_prompt_5
afrimgsm_cot_translate_sot_prompt_1, afrimgsm_cot_translate_sot_prompt_2, afrimgsm_cot_translate_sot_prompt_3, afrimgsm_cot_translate_sot_prompt_4
afrimgsm_cot_translate_sot_prompt_5, afrimgsm_cot_translate_swa_prompt_1, afrimgsm_cot_translate_swa_prompt_2, afrimgsm_cot_translate_swa_prompt_3
afrimgsm_cot_translate_swa_prompt_4, afrimgsm_cot_translate_swa_prompt_5, afrimgsm_cot_translate_twi_prompt_1, afrimgsm_cot_translate_twi_prompt_2
afrimgsm_cot_translate_twi_prompt_3, afrimgsm_cot_translate_twi_prompt_4, afrimgsm_cot_translate_twi_prompt_5, afrimgsm_cot_translate_vai_prompt_1
afrimgsm_cot_translate_vai_prompt_2, afrimgsm_cot_translate_vai_prompt_3, afrimgsm_cot_translate_vai_prompt_4, afrimgsm_cot_translate_vai_prompt_5
afrimgsm_cot_translate_wol_prompt_1, afrimgsm_cot_translate_wol_prompt_2, afrimgsm_cot_translate_wol_prompt_3, afrimgsm_cot_translate_wol_prompt_4
afrimgsm_cot_translate_wol_prompt_5, afrimgsm_cot_translate_xho_prompt_1, afrimgsm_cot_translate_xho_prompt_2, afrimgsm_cot_translate_xho_prompt_3
afrimgsm_cot_translate_xho_prompt_4, afrimgsm_cot_translate_xho_prompt_5, afrimgsm_cot_translate_yor_prompt_1, afrimgsm_cot_translate_yor_prompt_2
afrimgsm_cot_translate_yor_prompt_3, afrimgsm_cot_translate_yor_prompt_4, afrimgsm_cot_translate_yor_prompt_5, afrimgsm_cot_translate_zul_prompt_1
afrimgsm_cot_translate_zul_prompt_2, afrimgsm_cot_translate_zul_prompt_3, afrimgsm_cot_translate_zul_prompt_4, afrimgsm_cot_translate_zul_prompt_5
afrimgsm_cot_twi_prompt_1, afrimgsm_cot_twi_prompt_2, afrimgsm_cot_twi_prompt_3, afrimgsm_cot_twi_prompt_4
afrimgsm_cot_twi_prompt_5, afrimgsm_cot_vai_prompt_1, afrimgsm_cot_vai_prompt_2, afrimgsm_cot_vai_prompt_3
afrimgsm_cot_vai_prompt_4, afrimgsm_cot_vai_prompt_5, afrimgsm_cot_wol_prompt_1, afrimgsm_cot_wol_prompt_2
afrimgsm_cot_wol_prompt_3, afrimgsm_cot_wol_prompt_4, afrimgsm_cot_wol_prompt_5, afrimgsm_cot_xho_prompt_1
afrimgsm_cot_xho_prompt_2, afrimgsm_cot_xho_prompt_3, afrimgsm_cot_xho_prompt_4, afrimgsm_cot_xho_prompt_5
afrimgsm_cot_yor_prompt_1, afrimgsm_cot_yor_prompt_2, afrimgsm_cot_yor_prompt_3, afrimgsm_cot_yor_prompt_4
afrimgsm_cot_yor_prompt_5, afrimgsm_cot_zul_prompt_1, afrimgsm_cot_zul_prompt_2, afrimgsm_cot_zul_prompt_3
afrimgsm_cot_zul_prompt_4, afrimgsm_cot_zul_prompt_5, afrimgsm_eng_prompt_1, afrimgsm_eng_prompt_2
afrimgsm_eng_prompt_3, afrimgsm_eng_prompt_4, afrimgsm_eng_prompt_5, afrimgsm_ewe_prompt_1
afrimgsm_ewe_prompt_2, afrimgsm_ewe_prompt_3, afrimgsm_ewe_prompt_4, afrimgsm_ewe_prompt_5
afrimgsm_fra_prompt_1, afrimgsm_fra_prompt_2, afrimgsm_fra_prompt_3, afrimgsm_fra_prompt_4
afrimgsm_fra_prompt_5, afrimgsm_hau_prompt_1, afrimgsm_hau_prompt_2, afrimgsm_hau_prompt_3
afrimgsm_hau_prompt_4, afrimgsm_hau_prompt_5, afrimgsm_ibo_prompt_1, afrimgsm_ibo_prompt_2
afrimgsm_ibo_prompt_3, afrimgsm_ibo_prompt_4, afrimgsm_ibo_prompt_5, afrimgsm_kin_prompt_1
afrimgsm_kin_prompt_2, afrimgsm_kin_prompt_3, afrimgsm_kin_prompt_4, afrimgsm_kin_prompt_5
afrimgsm_lin_prompt_1, afrimgsm_lin_prompt_2, afrimgsm_lin_prompt_3, afrimgsm_lin_prompt_4
afrimgsm_lin_prompt_5, afrimgsm_lug_prompt_1, afrimgsm_lug_prompt_2, afrimgsm_lug_prompt_3
afrimgsm_lug_prompt_4, afrimgsm_lug_prompt_5, afrimgsm_orm_prompt_1, afrimgsm_orm_prompt_2
afrimgsm_orm_prompt_3, afrimgsm_orm_prompt_4, afrimgsm_orm_prompt_5, afrimgsm_sna_prompt_1
afrimgsm_sna_prompt_2, afrimgsm_sna_prompt_3, afrimgsm_sna_prompt_4, afrimgsm_sna_prompt_5
afrimgsm_sot_prompt_1, afrimgsm_sot_prompt_2, afrimgsm_sot_prompt_3, afrimgsm_sot_prompt_4
afrimgsm_sot_prompt_5, afrimgsm_swa_prompt_1, afrimgsm_swa_prompt_2, afrimgsm_swa_prompt_3
afrimgsm_swa_prompt_4, afrimgsm_swa_prompt_5, afrimgsm_tasks, afrimgsm_translate_amh_prompt_1
afrimgsm_translate_amh_prompt_2, afrimgsm_translate_amh_prompt_3, afrimgsm_translate_amh_prompt_4, afrimgsm_translate_amh_prompt_5
afrimgsm_translate_ewe_prompt_1, afrimgsm_translate_ewe_prompt_2, afrimgsm_translate_ewe_prompt_3, afrimgsm_translate_ewe_prompt_4
afrimgsm_translate_ewe_prompt_5, afrimgsm_translate_fra_prompt_1, afrimgsm_translate_fra_prompt_2, afrimgsm_translate_fra_prompt_3
afrimgsm_translate_fra_prompt_4, afrimgsm_translate_fra_prompt_5, afrimgsm_translate_hau_prompt_1, afrimgsm_translate_hau_prompt_2
afrimgsm_translate_hau_prompt_3, afrimgsm_translate_hau_prompt_4, afrimgsm_translate_hau_prompt_5, afrimgsm_translate_ibo_prompt_1
afrimgsm_translate_ibo_prompt_2, afrimgsm_translate_ibo_prompt_3, afrimgsm_translate_ibo_prompt_4, afrimgsm_translate_ibo_prompt_5
afrimgsm_translate_kin_prompt_1, afrimgsm_translate_kin_prompt_2, afrimgsm_translate_kin_prompt_3, afrimgsm_translate_kin_prompt_4
afrimgsm_translate_kin_prompt_5, afrimgsm_translate_lin_prompt_1, afrimgsm_translate_lin_prompt_2, afrimgsm_translate_lin_prompt_3
afrimgsm_translate_lin_prompt_4, afrimgsm_translate_lin_prompt_5, afrimgsm_translate_lug_prompt_1, afrimgsm_translate_lug_prompt_2
afrimgsm_translate_lug_prompt_3, afrimgsm_translate_lug_prompt_4, afrimgsm_translate_lug_prompt_5, afrimgsm_translate_orm_prompt_1
afrimgsm_translate_orm_prompt_2, afrimgsm_translate_orm_prompt_3, afrimgsm_translate_orm_prompt_4, afrimgsm_translate_orm_prompt_5
afrimgsm_translate_sna_prompt_1, afrimgsm_translate_sna_prompt_2, afrimgsm_translate_sna_prompt_3, afrimgsm_translate_sna_prompt_4
afrimgsm_translate_sna_prompt_5, afrimgsm_translate_sot_prompt_1, afrimgsm_translate_sot_prompt_2, afrimgsm_translate_sot_prompt_3
afrimgsm_translate_sot_prompt_4, afrimgsm_translate_sot_prompt_5, afrimgsm_translate_swa_prompt_1, afrimgsm_translate_swa_prompt_2
afrimgsm_translate_swa_prompt_3, afrimgsm_translate_swa_prompt_4, afrimgsm_translate_swa_prompt_5, afrimgsm_translate_twi_prompt_1
afrimgsm_translate_twi_prompt_2, afrimgsm_translate_twi_prompt_3, afrimgsm_translate_twi_prompt_4, afrimgsm_translate_twi_prompt_5
afrimgsm_translate_wol_prompt_1, afrimgsm_translate_wol_prompt_2, afrimgsm_translate_wol_prompt_3, afrimgsm_translate_wol_prompt_4
afrimgsm_translate_wol_prompt_5, afrimgsm_translate_xho_prompt_1, afrimgsm_translate_xho_prompt_2, afrimgsm_translate_xho_prompt_3
afrimgsm_translate_xho_prompt_4, afrimgsm_translate_xho_prompt_5, afrimgsm_translate_yor_prompt_1, afrimgsm_translate_yor_prompt_2
afrimgsm_translate_yor_prompt_3, afrimgsm_translate_yor_prompt_4, afrimgsm_translate_yor_prompt_5, afrimgsm_translate_zul_prompt_1
afrimgsm_translate_zul_prompt_2, afrimgsm_translate_zul_prompt_3, afrimgsm_translate_zul_prompt_4, afrimgsm_translate_zul_prompt_5
afrimgsm_tt-irokobench, afrimgsm_tt_cot-irokobench, afrimgsm_tt_cot_tasks, afrimgsm_tt_tasks
afrimgsm_twi_prompt_1, afrimgsm_twi_prompt_2, afrimgsm_twi_prompt_3, afrimgsm_twi_prompt_4
afrimgsm_twi_prompt_5, afrimgsm_vai_prompt_1, afrimgsm_vai_prompt_2, afrimgsm_vai_prompt_3
afrimgsm_vai_prompt_4, afrimgsm_vai_prompt_5, afrimgsm_wol_prompt_1, afrimgsm_wol_prompt_2
afrimgsm_wol_prompt_3, afrimgsm_wol_prompt_4, afrimgsm_wol_prompt_5, afrimgsm_xho_prompt_1
afrimgsm_xho_prompt_2, afrimgsm_xho_prompt_3, afrimgsm_xho_prompt_4, afrimgsm_xho_prompt_5
afrimgsm_yor_prompt_1, afrimgsm_yor_prompt_2, afrimgsm_yor_prompt_3, afrimgsm_yor_prompt_4
afrimgsm_yor_prompt_5, afrimgsm_zul_prompt_1, afrimgsm_zul_prompt_2, afrimgsm_zul_prompt_3
afrimgsm_zul_prompt_4, afrimgsm_zul_prompt_5, afrimmlu-irokobench, afrimmlu_direct_amh_prompt_1
afrimmlu_direct_amh_prompt_2, afrimmlu_direct_amh_prompt_3, afrimmlu_direct_amh_prompt_4, afrimmlu_direct_amh_prompt_5
afrimmlu_direct_eng_prompt_1, afrimmlu_direct_eng_prompt_2, afrimmlu_direct_eng_prompt_3, afrimmlu_direct_eng_prompt_4
afrimmlu_direct_eng_prompt_5, afrimmlu_direct_ewe_prompt_1, afrimmlu_direct_ewe_prompt_2, afrimmlu_direct_ewe_prompt_3
afrimmlu_direct_ewe_prompt_4, afrimmlu_direct_ewe_prompt_5, afrimmlu_direct_fra_prompt_1, afrimmlu_direct_fra_prompt_2
afrimmlu_direct_fra_prompt_3, afrimmlu_direct_fra_prompt_4, afrimmlu_direct_fra_prompt_5, afrimmlu_direct_hau_prompt_1
afrimmlu_direct_hau_prompt_2, afrimmlu_direct_hau_prompt_3, afrimmlu_direct_hau_prompt_4, afrimmlu_direct_hau_prompt_5
afrimmlu_direct_ibo_prompt_1, afrimmlu_direct_ibo_prompt_2, afrimmlu_direct_ibo_prompt_3, afrimmlu_direct_ibo_prompt_4
afrimmlu_direct_ibo_prompt_5, afrimmlu_direct_kin_prompt_1, afrimmlu_direct_kin_prompt_2, afrimmlu_direct_kin_prompt_3
afrimmlu_direct_kin_prompt_4, afrimmlu_direct_kin_prompt_5, afrimmlu_direct_lin_prompt_1, afrimmlu_direct_lin_prompt_2
afrimmlu_direct_lin_prompt_3, afrimmlu_direct_lin_prompt_4, afrimmlu_direct_lin_prompt_5, afrimmlu_direct_lug_prompt_1
afrimmlu_direct_lug_prompt_2, afrimmlu_direct_lug_prompt_3, afrimmlu_direct_lug_prompt_4, afrimmlu_direct_lug_prompt_5
afrimmlu_direct_orm_prompt_1, afrimmlu_direct_orm_prompt_2, afrimmlu_direct_orm_prompt_3, afrimmlu_direct_orm_prompt_4
afrimmlu_direct_orm_prompt_5, afrimmlu_direct_sna_prompt_1, afrimmlu_direct_sna_prompt_2, afrimmlu_direct_sna_prompt_3
afrimmlu_direct_sna_prompt_4, afrimmlu_direct_sna_prompt_5, afrimmlu_direct_sot_prompt_1, afrimmlu_direct_sot_prompt_2
afrimmlu_direct_sot_prompt_3, afrimmlu_direct_sot_prompt_4, afrimmlu_direct_sot_prompt_5, afrimmlu_direct_swa_prompt_1
afrimmlu_direct_swa_prompt_2, afrimmlu_direct_swa_prompt_3, afrimmlu_direct_swa_prompt_4, afrimmlu_direct_swa_prompt_5
afrimmlu_direct_twi_prompt_1, afrimmlu_direct_twi_prompt_2, afrimmlu_direct_twi_prompt_3, afrimmlu_direct_twi_prompt_4
afrimmlu_direct_twi_prompt_5, afrimmlu_direct_wol_prompt_1, afrimmlu_direct_wol_prompt_2, afrimmlu_direct_wol_prompt_3
afrimmlu_direct_wol_prompt_4, afrimmlu_direct_wol_prompt_5, afrimmlu_direct_xho_prompt_1, afrimmlu_direct_xho_prompt_2
afrimmlu_direct_xho_prompt_3, afrimmlu_direct_xho_prompt_4, afrimmlu_direct_xho_prompt_5, afrimmlu_direct_yor_prompt_1
afrimmlu_direct_yor_prompt_2, afrimmlu_direct_yor_prompt_3, afrimmlu_direct_yor_prompt_4, afrimmlu_direct_yor_prompt_5
afrimmlu_direct_zul_prompt_1, afrimmlu_direct_zul_prompt_2, afrimmlu_direct_zul_prompt_3, afrimmlu_direct_zul_prompt_4
afrimmlu_direct_zul_prompt_5, afrimmlu_tasks, afrimmlu_translate_amh_prompt_1, afrimmlu_translate_amh_prompt_2
afrimmlu_translate_amh_prompt_3, afrimmlu_translate_amh_prompt_4, afrimmlu_translate_amh_prompt_5, afrimmlu_translate_ewe_prompt_1
afrimmlu_translate_ewe_prompt_2, afrimmlu_translate_ewe_prompt_3, afrimmlu_translate_ewe_prompt_4, afrimmlu_translate_ewe_prompt_5
afrimmlu_translate_fra_prompt_1, afrimmlu_translate_fra_prompt_2, afrimmlu_translate_fra_prompt_3, afrimmlu_translate_fra_prompt_4
afrimmlu_translate_fra_prompt_5, afrimmlu_translate_hau_prompt_1, afrimmlu_translate_hau_prompt_2, afrimmlu_translate_hau_prompt_3
afrimmlu_translate_hau_prompt_4, afrimmlu_translate_hau_prompt_5, afrimmlu_translate_ibo_prompt_1, afrimmlu_translate_ibo_prompt_2
afrimmlu_translate_ibo_prompt_3, afrimmlu_translate_ibo_prompt_4, afrimmlu_translate_ibo_prompt_5, afrimmlu_translate_kin_prompt_1
afrimmlu_translate_kin_prompt_2, afrimmlu_translate_kin_prompt_3, afrimmlu_translate_kin_prompt_4, afrimmlu_translate_kin_prompt_5
afrimmlu_translate_lin_prompt_1, afrimmlu_translate_lin_prompt_2, afrimmlu_translate_lin_prompt_3, afrimmlu_translate_lin_prompt_4
afrimmlu_translate_lin_prompt_5, afrimmlu_translate_lug_prompt_1, afrimmlu_translate_lug_prompt_2, afrimmlu_translate_lug_prompt_3
afrimmlu_translate_lug_prompt_4, afrimmlu_translate_lug_prompt_5, afrimmlu_translate_orm_prompt_1, afrimmlu_translate_orm_prompt_2
afrimmlu_translate_orm_prompt_3, afrimmlu_translate_orm_prompt_4, afrimmlu_translate_orm_prompt_5, afrimmlu_translate_sna_prompt_1
afrimmlu_translate_sna_prompt_2, afrimmlu_translate_sna_prompt_3, afrimmlu_translate_sna_prompt_4, afrimmlu_translate_sna_prompt_5
afrimmlu_translate_sot_prompt_1, afrimmlu_translate_sot_prompt_2, afrimmlu_translate_sot_prompt_3, afrimmlu_translate_sot_prompt_4
afrimmlu_translate_sot_prompt_5, afrimmlu_translate_swa_prompt_1, afrimmlu_translate_swa_prompt_2, afrimmlu_translate_swa_prompt_3
afrimmlu_translate_swa_prompt_4, afrimmlu_translate_swa_prompt_5, afrimmlu_translate_twi_prompt_1, afrimmlu_translate_twi_prompt_2
afrimmlu_translate_twi_prompt_3, afrimmlu_translate_twi_prompt_4, afrimmlu_translate_twi_prompt_5, afrimmlu_translate_wol_prompt_1
afrimmlu_translate_wol_prompt_2, afrimmlu_translate_wol_prompt_3, afrimmlu_translate_wol_prompt_4, afrimmlu_translate_wol_prompt_5
afrimmlu_translate_xho_prompt_1, afrimmlu_translate_xho_prompt_2, afrimmlu_translate_xho_prompt_3, afrimmlu_translate_xho_prompt_4
afrimmlu_translate_xho_prompt_5, afrimmlu_translate_yor_prompt_1, afrimmlu_translate_yor_prompt_2, afrimmlu_translate_yor_prompt_3
afrimmlu_translate_yor_prompt_4, afrimmlu_translate_yor_prompt_5, afrimmlu_translate_zul_prompt_1, afrimmlu_translate_zul_prompt_2
afrimmlu_translate_zul_prompt_3, afrimmlu_translate_zul_prompt_4, afrimmlu_translate_zul_prompt_5, afrimmlu_tt-irokobench
afrimmlu_tt_tasks, afriqa, afrisent_prompt_2, afrisenti
afrixnli, afrixnli-irokobench, afrobench, afrobench_lite
ag_news, agieval, ai2_arc, aime
aime24, aime25, anagrams1, anagrams2
anli, arab_culture, arabic_exams, arabic_leaderboard_acva
arabic_leaderboard_alghafa, arabic_leaderboard_arabic_exams, arabic_leaderboard_arabic_mmlu, arabic_leaderboard_arabic_mt_arc_challenge
arabic_leaderboard_arabic_mt_arc_easy, arabic_leaderboard_arabic_mt_boolq, arabic_leaderboard_arabic_mt_copa, arabic_leaderboard_arabic_mt_hellaswag
arabic_leaderboard_arabic_mt_mmlu, arabic_leaderboard_arabic_mt_openbook_qa, arabic_leaderboard_arabic_mt_piqa, arabic_leaderboard_arabic_mt_race
arabic_leaderboard_arabic_mt_sciq, arabic_leaderboard_arabic_mt_toxigen, arabic_leaderboard_complete, arabic_leaderboard_light
arabic_mt_arc_challenge, arabic_mt_arc_easy, arabic_mt_boolq, arabic_mt_copa
arabic_mt_hellaswag, arabic_mt_mmlu, arabic_mt_openbook_qa, arabic_mt_piqa
arabic_mt_race, arabic_mt_sciq, arabic_mt_toxigen, arabicmmlu
arc_ar, arc_bn, arc_ca, arc_ca_easy
arc_challenge, arc_da, arc_de, arc_easy
arc_es, arc_eu, arc_eu_easy, arc_fr
arc_gu, arc_hi, arc_hr, arc_hu
arc_hy, arc_id, arc_it, arc_kn
arc_ml, arc_mr, arc_multilingual, arc_ne
arc_nl, arc_pt, arc_ro, arc_ru
arc_sk, arc_sr, arc_sv, arc_ta
arc_te, arc_uk, arc_vi, arc_zh
argument_topic, arithmetic, asdiv, ask_gec
assin_entailment, assin_paraphrase, atis, babi
babilong, bangla_commonsenseqa, bangla_mmlu, banking77
basque-glue, basque_bench, bbh, bbq
bear, bec2016eu, belebele, bertaqa
bhs__basque__DO__S_DO_V_AUX, bhs__basque__DO__S_IO_DO_V_AUX, bhs__basque__IO__IO_S_V_AUX, bhs__basque__IO__S_IO_DO_V_AUX
bhs__basque__S__IO_S_V_AUX, bhs__basque__S__S_DO_V_AUX, bhs__basque__S__S_IO_DO_V_AUX, bhs__basque__S__S_V_AUX
bhs__hindi__S_O_V, bhs__hindi__S_PossPRN_O_V, bhs__hindi__S_PossPRN_PossN_O_V, bhs__hindi__S_ne_O_V
bhs__hindi__S_ne_PossPRN_O_V, bhs__hindi__S_ne_PossPRN_PossN_O_V, bhs__swahili__N_of_Poss_D_AP_V_ni_AN, bhs__swahili__N_of_Poss_D_AP_ni_AN
bhs__swahili__N_of_Poss_D_A_V, bhs__swahili__N_of_Poss_D_A_V1_V2, bhs__swahili__N_of_Poss_D_V, bhs__swahili__N_of_Poss_D_ni_A
bhs__swahili__N_of_Poss_V, bhs__swahili__N_of_Poss_ni_A, bhs_basque, bhs_hindi
bhs_swahili, bhtc_v2, bigbench_abstract_narrative_understanding_generate_until, bigbench_abstract_narrative_understanding_multiple_choice
bigbench_anachronisms_generate_until, bigbench_anachronisms_multiple_choice, bigbench_analogical_similarity_generate_until, bigbench_analogical_similarity_multiple_choice
bigbench_analytic_entailment_generate_until, bigbench_analytic_entailment_multiple_choice, bigbench_arithmetic_generate_until, bigbench_arithmetic_multiple_choice
bigbench_ascii_word_recognition_generate_until, bigbench_authorship_verification_generate_until, bigbench_authorship_verification_multiple_choice, bigbench_auto_categorization_generate_until
bigbench_auto_debugging_generate_until, bigbench_bbq_lite_json_generate_until, bigbench_bbq_lite_json_multiple_choice, bigbench_bridging_anaphora_resolution_barqa_generate_until
bigbench_causal_judgment_generate_until, bigbench_causal_judgment_multiple_choice, bigbench_cause_and_effect_generate_until, bigbench_cause_and_effect_multiple_choice
bigbench_checkmate_in_one_generate_until, bigbench_checkmate_in_one_multiple_choice, bigbench_chess_state_tracking_generate_until, bigbench_chinese_remainder_theorem_generate_until
bigbench_cifar10_classification_generate_until, bigbench_cifar10_classification_multiple_choice, bigbench_code_line_description_generate_until, bigbench_code_line_description_multiple_choice
bigbench_codenames_generate_until, bigbench_color_generate_until, bigbench_color_multiple_choice, bigbench_common_morpheme_generate_until
bigbench_common_morpheme_multiple_choice, bigbench_conceptual_combinations_generate_until, bigbench_conceptual_combinations_multiple_choice, bigbench_conlang_translation_generate_until
bigbench_contextual_parametric_knowledge_conflicts_generate_until, bigbench_contextual_parametric_knowledge_conflicts_multiple_choice, bigbench_crash_blossom_generate_until, bigbench_crash_blossom_multiple_choice
bigbench_crass_ai_generate_until, bigbench_crass_ai_multiple_choice, bigbench_cryobiology_spanish_generate_until, bigbench_cryobiology_spanish_multiple_choice
bigbench_cryptonite_generate_until, bigbench_cs_algorithms_generate_until, bigbench_cs_algorithms_multiple_choice, bigbench_dark_humor_detection_generate_until
bigbench_dark_humor_detection_multiple_choice, bigbench_date_understanding_generate_until, bigbench_date_understanding_multiple_choice, bigbench_disambiguation_qa_generate_until
bigbench_disambiguation_qa_multiple_choice, bigbench_discourse_marker_prediction_generate_until, bigbench_discourse_marker_prediction_multiple_choice, bigbench_disfl_qa_generate_until
bigbench_dyck_languages_generate_until, bigbench_dyck_languages_multiple_choice, bigbench_elementary_math_qa_generate_until, bigbench_elementary_math_qa_multiple_choice
bigbench_emoji_movie_generate_until, bigbench_emoji_movie_multiple_choice, bigbench_emojis_emotion_prediction_generate_until, bigbench_emojis_emotion_prediction_multiple_choice
bigbench_empirical_judgments_generate_until, bigbench_empirical_judgments_multiple_choice, bigbench_english_proverbs_generate_until, bigbench_english_proverbs_multiple_choice
bigbench_english_russian_proverbs_generate_until, bigbench_english_russian_proverbs_multiple_choice, bigbench_entailed_polarity_generate_until, bigbench_entailed_polarity_hindi_generate_until
bigbench_entailed_polarity_hindi_multiple_choice, bigbench_entailed_polarity_multiple_choice, bigbench_epistemic_reasoning_generate_until, bigbench_epistemic_reasoning_multiple_choice
bigbench_evaluating_information_essentiality_generate_until, bigbench_evaluating_information_essentiality_multiple_choice, bigbench_fact_checker_generate_until, bigbench_fact_checker_multiple_choice
bigbench_fantasy_reasoning_generate_until, bigbench_fantasy_reasoning_multiple_choice, bigbench_few_shot_nlg_generate_until, bigbench_figure_of_speech_detection_generate_until
bigbench_figure_of_speech_detection_multiple_choice, bigbench_formal_fallacies_syllogisms_negation_generate_until, bigbench_formal_fallacies_syllogisms_negation_multiple_choice, bigbench_gem_generate_until
bigbench_gender_inclusive_sentences_german_generate_until, bigbench_general_knowledge_generate_until, bigbench_general_knowledge_multiple_choice, bigbench_generate_until
bigbench_geometric_shapes_generate_until, bigbench_geometric_shapes_multiple_choice, bigbench_goal_step_wikihow_generate_until, bigbench_goal_step_wikihow_multiple_choice
bigbench_gre_reading_comprehension_generate_until, bigbench_gre_reading_comprehension_multiple_choice, bigbench_hhh_alignment_generate_until, bigbench_hhh_alignment_multiple_choice
bigbench_hindi_question_answering_generate_until, bigbench_hindu_knowledge_generate_until, bigbench_hindu_knowledge_multiple_choice, bigbench_hinglish_toxicity_generate_until
bigbench_hinglish_toxicity_multiple_choice, bigbench_human_organs_senses_generate_until, bigbench_human_organs_senses_multiple_choice, bigbench_hyperbaton_generate_until
bigbench_hyperbaton_multiple_choice, bigbench_identify_math_theorems_generate_until, bigbench_identify_math_theorems_multiple_choice, bigbench_identify_odd_metaphor_generate_until
bigbench_identify_odd_metaphor_multiple_choice, bigbench_implicatures_generate_until, bigbench_implicatures_multiple_choice, bigbench_implicit_relations_generate_until
bigbench_implicit_relations_multiple_choice, bigbench_intent_recognition_generate_until, bigbench_intent_recognition_multiple_choice, bigbench_international_phonetic_alphabet_nli_generate_until
bigbench_international_phonetic_alphabet_nli_multiple_choice, bigbench_international_phonetic_alphabet_transliterate_generate_until, bigbench_intersect_geometry_generate_until, bigbench_intersect_geometry_multiple_choice
bigbench_irony_identification_generate_until, bigbench_irony_identification_multiple_choice, bigbench_kanji_ascii_generate_until, bigbench_kanji_ascii_multiple_choice
bigbench_kannada_generate_until, bigbench_kannada_multiple_choice, bigbench_key_value_maps_generate_until, bigbench_key_value_maps_multiple_choice
bigbench_known_unknowns_generate_until, bigbench_known_unknowns_multiple_choice, bigbench_language_games_generate_until, bigbench_language_identification_generate_until
bigbench_language_identification_multiple_choice, bigbench_linguistic_mappings_generate_until, bigbench_linguistics_puzzles_generate_until, bigbench_list_functions_generate_until
bigbench_logic_grid_puzzle_generate_until, bigbench_logic_grid_puzzle_multiple_choice, bigbench_logical_args_generate_until, bigbench_logical_args_multiple_choice
bigbench_logical_deduction_generate_until, bigbench_logical_deduction_multiple_choice, bigbench_logical_fallacy_detection_generate_until, bigbench_logical_fallacy_detection_multiple_choice
bigbench_logical_sequence_generate_until, bigbench_logical_sequence_multiple_choice, bigbench_mathematical_induction_generate_until, bigbench_mathematical_induction_multiple_choice
bigbench_matrixshapes_generate_until, bigbench_metaphor_boolean_generate_until, bigbench_metaphor_boolean_multiple_choice, bigbench_metaphor_understanding_generate_until
bigbench_metaphor_understanding_multiple_choice, bigbench_minute_mysteries_qa_generate_until, bigbench_misconceptions_generate_until, bigbench_misconceptions_multiple_choice
bigbench_misconceptions_russian_generate_until, bigbench_misconceptions_russian_multiple_choice, bigbench_mnist_ascii_generate_until, bigbench_mnist_ascii_multiple_choice
bigbench_modified_arithmetic_generate_until, bigbench_moral_permissibility_generate_until, bigbench_moral_permissibility_multiple_choice, bigbench_movie_dialog_same_or_different_generate_until
bigbench_movie_dialog_same_or_different_multiple_choice, bigbench_movie_recommendation_generate_until, bigbench_movie_recommendation_multiple_choice, bigbench_mult_data_wrangling_generate_until
bigbench_multiemo_generate_until, bigbench_multiemo_multiple_choice, bigbench_multiple_choice_a, bigbench_multiple_choice_b
bigbench_natural_instructions_generate_until, bigbench_navigate_generate_until, bigbench_navigate_multiple_choice, bigbench_nonsense_words_grammar_generate_until
bigbench_nonsense_words_grammar_multiple_choice, bigbench_novel_concepts_generate_until, bigbench_novel_concepts_multiple_choice, bigbench_object_counting_generate_until
bigbench_odd_one_out_generate_until, bigbench_odd_one_out_multiple_choice, bigbench_operators_generate_until, bigbench_paragraph_segmentation_generate_until
bigbench_parsinlu_qa_generate_until, bigbench_parsinlu_qa_multiple_choice, bigbench_parsinlu_reading_comprehension_generate_until, bigbench_penguins_in_a_table_generate_until
bigbench_penguins_in_a_table_multiple_choice, bigbench_periodic_elements_generate_until, bigbench_periodic_elements_multiple_choice, bigbench_persian_idioms_generate_until
bigbench_persian_idioms_multiple_choice, bigbench_phrase_relatedness_generate_until, bigbench_phrase_relatedness_multiple_choice, bigbench_physical_intuition_generate_until
bigbench_physical_intuition_multiple_choice, bigbench_physics_generate_until, bigbench_physics_multiple_choice, bigbench_physics_questions_generate_until
bigbench_play_dialog_same_or_different_generate_until, bigbench_play_dialog_same_or_different_multiple_choice, bigbench_polish_sequence_labeling_generate_until, bigbench_presuppositions_as_nli_generate_until
bigbench_presuppositions_as_nli_multiple_choice, bigbench_qa_wikidata_generate_until, bigbench_question_selection_generate_until, bigbench_question_selection_multiple_choice
bigbench_real_or_fake_text_generate_until, bigbench_real_or_fake_text_multiple_choice, bigbench_reasoning_about_colored_objects_generate_until, bigbench_reasoning_about_colored_objects_multiple_choice
bigbench_repeat_copy_logic_generate_until, bigbench_rephrase_generate_until, bigbench_riddle_sense_generate_until, bigbench_riddle_sense_multiple_choice
bigbench_ruin_names_generate_until, bigbench_ruin_names_multiple_choice, bigbench_salient_translation_error_detection_generate_until, bigbench_salient_translation_error_detection_multiple_choice
bigbench_scientific_press_release_generate_until, bigbench_semantic_parsing_in_context_sparc_generate_until, bigbench_semantic_parsing_spider_generate_until, bigbench_sentence_ambiguity_generate_until
bigbench_sentence_ambiguity_multiple_choice, bigbench_similarities_abstraction_generate_until, bigbench_similarities_abstraction_multiple_choice, bigbench_simp_turing_concept_generate_until
bigbench_simple_arithmetic_json_generate_until, bigbench_simple_arithmetic_json_multiple_choice_generate_until, bigbench_simple_arithmetic_json_subtasks_generate_until, bigbench_simple_arithmetic_multiple_targets_json_generate_until
bigbench_simple_ethical_questions_generate_until, bigbench_simple_ethical_questions_multiple_choice, bigbench_simple_text_editing_generate_until, bigbench_snarks_generate_until
bigbench_snarks_multiple_choice, bigbench_social_iqa_generate_until, bigbench_social_iqa_multiple_choice, bigbench_social_support_generate_until
bigbench_social_support_multiple_choice, bigbench_sports_understanding_generate_until, bigbench_sports_understanding_multiple_choice, bigbench_strange_stories_generate_until
bigbench_strange_stories_multiple_choice, bigbench_strategyqa_generate_until, bigbench_strategyqa_multiple_choice, bigbench_sufficient_information_generate_until
bigbench_suicide_risk_generate_until, bigbench_suicide_risk_multiple_choice, bigbench_swahili_english_proverbs_generate_until, bigbench_swahili_english_proverbs_multiple_choice
bigbench_swedish_to_german_proverbs_generate_until, bigbench_swedish_to_german_proverbs_multiple_choice, bigbench_symbol_interpretation_generate_until, bigbench_symbol_interpretation_multiple_choice
bigbench_temporal_sequences_generate_until, bigbench_temporal_sequences_multiple_choice, bigbench_tense_generate_until, bigbench_timedial_generate_until
bigbench_timedial_multiple_choice, bigbench_topical_chat_generate_until, bigbench_tracking_shuffled_objects_generate_until, bigbench_tracking_shuffled_objects_multiple_choice
bigbench_understanding_fables_generate_until, bigbench_understanding_fables_multiple_choice, bigbench_undo_permutation_generate_until, bigbench_undo_permutation_multiple_choice
bigbench_unit_conversion_generate_until, bigbench_unit_conversion_multiple_choice, bigbench_unit_interpretation_generate_until, bigbench_unit_interpretation_multiple_choice
bigbench_unnatural_in_context_learning_generate_until, bigbench_vitaminc_fact_verification_generate_until, bigbench_vitaminc_fact_verification_multiple_choice, bigbench_what_is_the_tao_generate_until
bigbench_what_is_the_tao_multiple_choice, bigbench_which_wiki_edit_generate_until, bigbench_which_wiki_edit_multiple_choice, bigbench_winowhy_generate_until
bigbench_winowhy_multiple_choice, bigbench_word_sorting_generate_until, bigbench_word_unscrambling_generate_until, blimp
boolq, boolq-seq2seq, boolqa_bn, c4
cabbq, cabreu, careqa_en, careqa_es
careqa_open, catalan_bench, catalanqa, catcola
cb, celep1, celep2, ceval-valid
chain_of_thought, chartqa, claim_stance_topic, click
cmmlu, cnn_dailymail, cocoteros_es, cocoteros_va
code2text, coedit_gec, cola, common_voice_en
commonsense_qa, copa, copal_id, coqa
coqcat, crows_pairs, csatqa, cycle_letters
darija_sentiment, darija_summarization, darija_translation, darija_transliteration
darijahellaswag, darijammlu, dbpedia_14, discrim_eval_explicit
discrim_eval_implicit, doc_vqa, drop, egyhellaswag
egymmlu, epec_koref_bin, eq_bench, eqbench_ca
eqbench_es, esbbq, escola, ethics_cm
ethics_deontology, ethics_justice, ethics_utilitarianism, ethics_virtue
ethos_binary, eus_exams_es, eus_exams_eu, eus_proficiency
eus_reading, eus_trivia, evalita-mp, evalita-sp_sum_task_fp-small_p1
evalita-sp_sum_task_fp-small_p2, evalita-sp_sum_task_fp_p1, evalita-sp_sum_task_fp_p2, fda
financial_tweets, flan_held_in, flan_held_out, fld_default
fld_logical_formula_default, fld_logical_formula_star, fld_star, flores
freebase, french_bench, galcola, galician_bench
glianorex, global_mmlu_ar, global_mmlu_bn, global_mmlu_de
global_mmlu_en, global_mmlu_es, global_mmlu_fr, global_mmlu_full_am
global_mmlu_full_ar, global_mmlu_full_bn, global_mmlu_full_cs, global_mmlu_full_de
global_mmlu_full_el, global_mmlu_full_en, global_mmlu_full_es, global_mmlu_full_fa
global_mmlu_full_fil, global_mmlu_full_fr, global_mmlu_full_ha, global_mmlu_full_he
global_mmlu_full_hi, global_mmlu_full_id, global_mmlu_full_ig, global_mmlu_full_it
global_mmlu_full_ja, global_mmlu_full_ko, global_mmlu_full_ky, global_mmlu_full_lt
global_mmlu_full_mg, global_mmlu_full_ms, global_mmlu_full_ne, global_mmlu_full_nl
global_mmlu_full_ny, global_mmlu_full_pl, global_mmlu_full_pt, global_mmlu_full_ro
global_mmlu_full_ru, global_mmlu_full_si, global_mmlu_full_sn, global_mmlu_full_so
global_mmlu_full_sr, global_mmlu_full_sv, global_mmlu_full_sw, global_mmlu_full_te
global_mmlu_full_tr, global_mmlu_full_uk, global_mmlu_full_vi, global_mmlu_full_yo
global_mmlu_full_zh, global_mmlu_generative_ar, global_mmlu_generative_bn, global_mmlu_generative_de
global_mmlu_generative_en, global_mmlu_generative_es, global_mmlu_generative_fr, global_mmlu_generative_hi
global_mmlu_generative_id, global_mmlu_generative_it, global_mmlu_generative_ja, global_mmlu_generative_ko
global_mmlu_generative_pt, global_mmlu_generative_sw, global_mmlu_generative_yo, global_mmlu_generative_zh
global_mmlu_hi, global_mmlu_id, global_mmlu_it, global_mmlu_ja
global_mmlu_ko, global_mmlu_pt, global_mmlu_sw, global_mmlu_yo
global_mmlu_zh, global_piqa_completions, global_piqa_prompted, glue
gpqa, gpqa_diamond, gpqa_extended, gpqa_main
gpt3_translation_benchmarks, graphwalks, groundcocoa, gsm8k
gsm_plus, gsm_plus_mini, haerae, headqa
hellaswag, hendrycks_ethics, hendrycks_math, hendrycks_math500
histoires_morales, hrm8k, humaneval, icelandic_winogrande
ifbench, ifeval, include_base_44_albanian, include_base_44_arabic
include_base_44_armenian, include_base_44_azerbaijani, include_base_44_basque, include_base_44_belarusian
include_base_44_bengali, include_base_44_bulgarian, include_base_44_chinese, include_base_44_croatian
include_base_44_dutch, include_base_44_estonian, include_base_44_finnish, include_base_44_french
include_base_44_georgian, include_base_44_german, include_base_44_greek, include_base_44_hebrew
include_base_44_hindi, include_base_44_hungarian, include_base_44_indonesian, include_base_44_italian
include_base_44_japanese, include_base_44_kazakh, include_base_44_korean, include_base_44_lithuanian
include_base_44_malay, include_base_44_malayalam, include_base_44_nepali, include_base_44_north macedonian
include_base_44_persian, include_base_44_polish, include_base_44_portuguese, include_base_44_russian
include_base_44_serbian, include_base_44_spanish, include_base_44_tagalog, include_base_44_tamil
include_base_44_telugu, include_base_44_turkish, include_base_44_ukrainian, include_base_44_urdu
include_base_44_uzbek, include_base_44_vietnamese, injongointent, inverse_scaling_hindsight_neglect_10shot
inverse_scaling_into_the_unknown, inverse_scaling_mc, inverse_scaling_memo_trap, inverse_scaling_modus_tollens
inverse_scaling_neqa, inverse_scaling_pattern_matching_suppression, inverse_scaling_quote_repetition, inverse_scaling_redefine_math
inverse_scaling_repetitive_algebra, inverse_scaling_sig_figs, inverse_scaling_winobias_antistereotype, iwslt2017
iwslt2017-ar-en, iwslt2017-en-ar, ja_leaderboard_jaqket_v2, ja_leaderboard_jcommonsenseqa
ja_leaderboard_jnli, ja_leaderboard_jsquad, ja_leaderboard_marc_ja, ja_leaderboard_mgsm
ja_leaderboard_xlsum, ja_leaderboard_xwinograd, japanese_leaderboard, jsonschema_bench
jsonschema_bench_easy, jsonschema_bench_hard, kbl, kmmlu
kmmlu_hard, kmmlu_pro, kobalt, kobest
kobigbench, kormedmcqa, lambada, law_stack_exchange
leaderboard, ledgar, libra, librusec_history
librusec_mhqa, lingoly, livecodebench, llama
lm_syneval, logieval, logiqa, logiqa2
long_context_multiq, longbench, longbench2, longcxt
m_mmlu, mafand, masakhaner, masakhanews
masakhapos, mastermind, mastermind_easy, mastermind_hard
math, mathqa, matreshka_names, matreshka_yes_no
mbpp, mc_taco, med_concepts_qa, med_prescriptions
med_prescriptions_easy, med_prescriptions_hard, med_text_classification, med_text_classification_easy
med_text_classification_hard, meddialog, medical_abstracts, mediqa_qa2019
medmcqa, medqa_4options, medtext, mela
meqsum, metabench, mgsm, mimic_repsum
minerva_math, minerva_math500, mlqa_ar_ar, mlqa_ar_de
mlqa_ar_en, mlqa_ar_es, mlqa_ar_hi, mlqa_ar_vi
mlqa_ar_zh, mlqa_de_ar, mlqa_de_de, mlqa_de_en
mlqa_de_es, mlqa_de_hi, mlqa_de_vi, mlqa_de_zh
mlqa_en_ar, mlqa_en_de, mlqa_en_en, mlqa_en_es
mlqa_en_hi, mlqa_en_vi, mlqa_en_zh, mlqa_es_ar
mlqa_es_de, mlqa_es_en, mlqa_es_es, mlqa_es_hi
mlqa_es_vi, mlqa_es_zh, mlqa_hi_ar, mlqa_hi_de
mlqa_hi_en, mlqa_hi_es, mlqa_hi_hi, mlqa_hi_vi
mlqa_hi_zh, mlqa_vi_ar, mlqa_vi_de, mlqa_vi_en
mlqa_vi_es, mlqa_vi_hi, mlqa_vi_vi, mlqa_vi_zh
mlqa_zh_ar, mlqa_zh_de, mlqa_zh_en, mlqa_zh_es
mlqa_zh_hi, mlqa_zh_vi, mlqa_zh_zh, mmlu
mmlu_pro, mmlu_redux, mmlusr, mmmlu
mmmu_val, mnli, moral_stories, mrpc
mts_dialog, multiblimp, multimedqa, multiple_choice
multirc, mutual, naijarc, ncb
niah_multikey_1, niah_multikey_2, niah_multikey_3, niah_multiquery
niah_multivalue, niah_single_1, niah_single_2, niah_single_3
nollysenti, non_greedy_robustness_agieval_aqua_rat, non_greedy_robustness_agieval_logiqa_en, non_greedy_robustness_agieval_lsat_ar
non_greedy_robustness_agieval_lsat_lr, non_greedy_robustness_agieval_lsat_rc, non_greedy_robustness_agieval_sat_en, non_greedy_robustness_agieval_sat_math
non_greedy_robustness_math_algebra, non_greedy_robustness_math_counting_and_prob, non_greedy_robustness_math_geometry, non_greedy_robustness_math_intermediate_algebra
non_greedy_robustness_math_num_theory, non_greedy_robustness_math_prealgebra, non_greedy_robustness_math_precalc, noor
norbelebele, norcommonsenseqa_nno, norcommonsenseqa_nob, norec_document
norec_sentence, noridiom_nno, noridiom_nob, noropenbookqa_nno
noropenbookqa_nob, norquad, norrewrite_instruct, norsumm_nno
norsumm_nob, norsummarize_instruct, nortruthfulqa_gen_nno, nortruthfulqa_gen_nob
nortruthfulqa_mc_nno, nortruthfulqa_mc_nob, noticia, nq_open
nrk_quiz_qa_nno, nrk_quiz_qa_nob, ntrex_afr-eng, ntrex_afr_Latn-eng_Latn_prompt_1
ntrex_afr_Latn-eng_Latn_prompt_2, ntrex_afr_Latn-eng_Latn_prompt_3, ntrex_amh_Ethi-eng_Latn_prompt_1, ntrex_amh_Ethi-eng_Latn_prompt_2
ntrex_amh_Ethi-eng_Latn_prompt_3, ntrex_arb_Arab-eng_Latn_prompt_1, ntrex_arb_Arab-eng_Latn_prompt_2, ntrex_arb_Arab-eng_Latn_prompt_3
ntrex_bem_Latn-eng_Latn_prompt_1, ntrex_bem_Latn-eng_Latn_prompt_2, ntrex_bem_Latn-eng_Latn_prompt_3, ntrex_eng-afr
ntrex_eng_Latn-afr_Latn_prompt_1, ntrex_eng_Latn-afr_Latn_prompt_2, ntrex_eng_Latn-afr_Latn_prompt_3, ntrex_eng_Latn-amh_Ethi_prompt_1
ntrex_eng_Latn-amh_Ethi_prompt_2, ntrex_eng_Latn-amh_Ethi_prompt_3, ntrex_eng_Latn-arb_Arab_prompt_1, ntrex_eng_Latn-arb_Arab_prompt_2
ntrex_eng_Latn-arb_Arab_prompt_3, ntrex_eng_Latn-bem_Latn_prompt_1, ntrex_eng_Latn-bem_Latn_prompt_2, ntrex_eng_Latn-bem_Latn_prompt_3
ntrex_eng_Latn-ewe_Latn_prompt_1, ntrex_eng_Latn-ewe_Latn_prompt_2, ntrex_eng_Latn-ewe_Latn_prompt_3, ntrex_eng_Latn-fra_Latn_prompt_1
ntrex_eng_Latn-fra_Latn_prompt_2, ntrex_eng_Latn-fra_Latn_prompt_3, ntrex_eng_Latn-hau_Latn_prompt_1, ntrex_eng_Latn-hau_Latn_prompt_2
ntrex_eng_Latn-hau_Latn_prompt_3, ntrex_eng_Latn-ibo_Latn_prompt_1, ntrex_eng_Latn-ibo_Latn_prompt_2, ntrex_eng_Latn-ibo_Latn_prompt_3
ntrex_eng_Latn-kin_Latn_prompt_1, ntrex_eng_Latn-kin_Latn_prompt_2, ntrex_eng_Latn-kin_Latn_prompt_3, ntrex_eng_Latn-mey_Arab_prompt_1
ntrex_eng_Latn-mey_Arab_prompt_2, ntrex_eng_Latn-mey_Arab_prompt_3, ntrex_eng_Latn-mlg_Latn_prompt_1, ntrex_eng_Latn-mlg_Latn_prompt_2
ntrex_eng_Latn-mlg_Latn_prompt_3, ntrex_eng_Latn-msa_Latn_prompt_1, ntrex_eng_Latn-msa_Latn_prompt_2, ntrex_eng_Latn-msa_Latn_prompt_3
ntrex_eng_Latn-nde_Latn_prompt_1, ntrex_eng_Latn-nde_Latn_prompt_2, ntrex_eng_Latn-nde_Latn_prompt_3, ntrex_eng_Latn-nso_Latn_prompt_1
ntrex_eng_Latn-nso_Latn_prompt_2, ntrex_eng_Latn-nso_Latn_prompt_3, ntrex_eng_Latn-nya_Latn_prompt_1, ntrex_eng_Latn-nya_Latn_prompt_2
ntrex_eng_Latn-nya_Latn_prompt_3, ntrex_eng_Latn-orm_Ethi_prompt_1, ntrex_eng_Latn-orm_Ethi_prompt_2, ntrex_eng_Latn-orm_Ethi_prompt_3
ntrex_eng_Latn-shi_Arab_prompt_1, ntrex_eng_Latn-shi_Arab_prompt_2, ntrex_eng_Latn-shi_Arab_prompt_3, ntrex_eng_Latn-sna_Latn_prompt_1
ntrex_eng_Latn-sna_Latn_prompt_2, ntrex_eng_Latn-sna_Latn_prompt_3, ntrex_eng_Latn-som_Latn_prompt_1, ntrex_eng_Latn-som_Latn_prompt_2
ntrex_eng_Latn-som_Latn_prompt_3, ntrex_eng_Latn-ssw_Latn_prompt_1, ntrex_eng_Latn-ssw_Latn_prompt_2, ntrex_eng_Latn-ssw_Latn_prompt_3
ntrex_eng_Latn-swa_Latn_prompt_1, ntrex_eng_Latn-swa_Latn_prompt_2, ntrex_eng_Latn-swa_Latn_prompt_3, ntrex_eng_Latn-tam_Taml_prompt_1
ntrex_eng_Latn-tam_Taml_prompt_2, ntrex_eng_Latn-tam_Taml_prompt_3, ntrex_eng_Latn-tel_Telu_prompt_1, ntrex_eng_Latn-tel_Telu_prompt_2
ntrex_eng_Latn-tel_Telu_prompt_3, ntrex_eng_Latn-tir_Ethi_prompt_1, ntrex_eng_Latn-tir_Ethi_prompt_2, ntrex_eng_Latn-tir_Ethi_prompt_3
ntrex_eng_Latn-ton_Latn_prompt_1, ntrex_eng_Latn-ton_Latn_prompt_2, ntrex_eng_Latn-ton_Latn_prompt_3, ntrex_eng_Latn-tsn_Latn_prompt_1
ntrex_eng_Latn-tsn_Latn_prompt_2, ntrex_eng_Latn-tsn_Latn_prompt_3, ntrex_eng_Latn-urd_Arab_prompt_1, ntrex_eng_Latn-urd_Arab_prompt_2
ntrex_eng_Latn-urd_Arab_prompt_3, ntrex_eng_Latn-ven_Latn_prompt_1, ntrex_eng_Latn-ven_Latn_prompt_2, ntrex_eng_Latn-ven_Latn_prompt_3
ntrex_eng_Latn-wol_Latn_prompt_1, ntrex_eng_Latn-wol_Latn_prompt_2, ntrex_eng_Latn-wol_Latn_prompt_3, ntrex_eng_Latn-xho_Latn_prompt_1
ntrex_eng_Latn-xho_Latn_prompt_2, ntrex_eng_Latn-xho_Latn_prompt_3, ntrex_eng_Latn-yor_Latn_prompt_1, ntrex_eng_Latn-yor_Latn_prompt_2
ntrex_eng_Latn-yor_Latn_prompt_3, ntrex_eng_Latn-zul_Latn_prompt_1, ntrex_eng_Latn-zul_Latn_prompt_2, ntrex_eng_Latn-zul_Latn_prompt_3
ntrex_ewe_Latn-eng_Latn_prompt_1, ntrex_ewe_Latn-eng_Latn_prompt_2, ntrex_ewe_Latn-eng_Latn_prompt_3, ntrex_fra_Latn-eng_Latn_prompt_1
ntrex_fra_Latn-eng_Latn_prompt_2, ntrex_fra_Latn-eng_Latn_prompt_3, ntrex_hau_Latn-eng_Latn_prompt_1, ntrex_hau_Latn-eng_Latn_prompt_2
ntrex_hau_Latn-eng_Latn_prompt_3, ntrex_ibo_Latn-eng_Latn_prompt_1, ntrex_ibo_Latn-eng_Latn_prompt_2, ntrex_ibo_Latn-eng_Latn_prompt_3
ntrex_kin_Latn-eng_Latn_prompt_1, ntrex_kin_Latn-eng_Latn_prompt_2, ntrex_kin_Latn-eng_Latn_prompt_3, ntrex_mey_Arab-eng_Latn_prompt_1
ntrex_mey_Arab-eng_Latn_prompt_2, ntrex_mey_Arab-eng_Latn_prompt_3, ntrex_mlg_Latn-eng_Latn_prompt_1, ntrex_mlg_Latn-eng_Latn_prompt_2
ntrex_mlg_Latn-eng_Latn_prompt_3, ntrex_msa_Latn-eng_Latn_prompt_1, ntrex_msa_Latn-eng_Latn_prompt_2, ntrex_msa_Latn-eng_Latn_prompt_3
ntrex_nde_Latn-eng_Latn_prompt_1, ntrex_nde_Latn-eng_Latn_prompt_2, ntrex_nde_Latn-eng_Latn_prompt_3, ntrex_nso_Latn-eng_Latn_prompt_1
ntrex_nso_Latn-eng_Latn_prompt_2, ntrex_nso_Latn-eng_Latn_prompt_3, ntrex_nya_Latn-eng_Latn_prompt_1, ntrex_nya_Latn-eng_Latn_prompt_2
ntrex_nya_Latn-eng_Latn_prompt_3, ntrex_orm_Ethi-eng_Latn_prompt_1, ntrex_orm_Ethi-eng_Latn_prompt_2, ntrex_orm_Ethi-eng_Latn_prompt_3
ntrex_shi_Arab-eng_Latn_prompt_1, ntrex_shi_Arab-eng_Latn_prompt_2, ntrex_shi_Arab-eng_Latn_prompt_3, ntrex_sna_Latn-eng_Latn_prompt_1
ntrex_sna_Latn-eng_Latn_prompt_2, ntrex_sna_Latn-eng_Latn_prompt_3, ntrex_som_Latn-eng_Latn_prompt_1, ntrex_som_Latn-eng_Latn_prompt_2
ntrex_som_Latn-eng_Latn_prompt_3, ntrex_ssw_Latn-eng_Latn_prompt_1, ntrex_ssw_Latn-eng_Latn_prompt_2, ntrex_ssw_Latn-eng_Latn_prompt_3
ntrex_swa_Latn-eng_Latn_prompt_1, ntrex_swa_Latn-eng_Latn_prompt_2, ntrex_swa_Latn-eng_Latn_prompt_3, ntrex_tam_Taml-eng_Latn_prompt_1
ntrex_tam_Taml-eng_Latn_prompt_2, ntrex_tam_Taml-eng_Latn_prompt_3, ntrex_tasks, ntrex_tel_Telu-eng_Latn_prompt_1
ntrex_tel_Telu-eng_Latn_prompt_2, ntrex_tel_Telu-eng_Latn_prompt_3, ntrex_tir_Ethi-eng_Latn_prompt_1, ntrex_tir_Ethi-eng_Latn_prompt_2
ntrex_tir_Ethi-eng_Latn_prompt_3, ntrex_ton_Latn-eng_Latn_prompt_1, ntrex_ton_Latn-eng_Latn_prompt_2, ntrex_ton_Latn-eng_Latn_prompt_3
ntrex_tsn_Latn-eng_Latn_prompt_1, ntrex_tsn_Latn-eng_Latn_prompt_2, ntrex_tsn_Latn-eng_Latn_prompt_3, ntrex_urd_Arab-eng_Latn_prompt_1
ntrex_urd_Arab-eng_Latn_prompt_2, ntrex_urd_Arab-eng_Latn_prompt_3, ntrex_ven_Latn-eng_Latn_prompt_1, ntrex_ven_Latn-eng_Latn_prompt_2
ntrex_ven_Latn-eng_Latn_prompt_3, ntrex_wol_Latn-eng_Latn_prompt_1, ntrex_wol_Latn-eng_Latn_prompt_2, ntrex_wol_Latn-eng_Latn_prompt_3
ntrex_xho_Latn-eng_Latn_prompt_1, ntrex_xho_Latn-eng_Latn_prompt_2, ntrex_xho_Latn-eng_Latn_prompt_3, ntrex_yor_Latn-eng_Latn_prompt_1
ntrex_yor_Latn-eng_Latn_prompt_2, ntrex_yor_Latn-eng_Latn_prompt_3, ntrex_zul_Latn-eng_Latn_prompt_1, ntrex_zul_Latn-eng_Latn_prompt_2
ntrex_zul_Latn-eng_Latn_prompt_3, nug, olaph, openai_mmlu
openbookqa, openllm, option_order_robustness_agieval_aqua_rat, option_order_robustness_agieval_logiqa_en
option_order_robustness_agieval_lsat_ar, option_order_robustness_agieval_lsat_lr, option_order_robustness_agieval_lsat_rc, option_order_robustness_agieval_sat_en
option_order_robustness_agieval_sat_math, paloma, parafraseja, parafrases_gl
passkey, paws_ca, paws_de, paws_en
paws_es, paws_eu, paws_fr, paws_gl
paws_ja, paws_ko, paws_zh, pawsx
persona, phrases_ca-va, phrases_es, phrases_es-va
phrases_va, phrases_va-ca, phrases_va-es, pile_10k
pile_arxiv, pile_bookcorpus2, pile_books3, pile_dm-mathematics
pile_enron, pile_europarl, pile_freelaw, pile_github
pile_gutenberg, pile_hackernews, pile_nih-exporter, pile_opensubtitles
pile_openwebtext2, pile_philpapers, pile_pile-cc, pile_pubmed-abstracts
pile_pubmed-central, pile_stackexchange, pile_ubuntu-irc, pile_uspto
pile_wikipedia, pile_youtubesubtitles, piqa, pisa
polemo2, portuguese_bench, prompt_robustness_agieval_aqua_rat, prompt_robustness_agieval_logiqa_en
prompt_robustness_agieval_lsat_ar, prompt_robustness_agieval_lsat_lr, prompt_robustness_agieval_lsat_rc, prompt_robustness_agieval_sat_en
prompt_robustness_agieval_sat_math, prompt_robustness_math_algebra, prompt_robustness_math_counting_and_prob, prompt_robustness_math_geometry
prompt_robustness_math_intermediate_algebra, prompt_robustness_math_num_theory, prompt_robustness_math_prealgebra, prompt_robustness_math_precalc
prost, pubmedqa, pythia, qa4mre
qasper, qnli, qnlieu, qqp
race, random_insertion, realtoxicityprompts, record
reversed_words, rte, ru_2wikimultihopqa, ru_babilong_qa1
ru_babilong_qa2, ru_babilong_qa3, ru_babilong_qa4, ru_babilong_qa5
ru_gsm100, ru_qasper, ru_quality, ru_sci_abstract_retrieval
ru_sci_passage_count, ruler, salt, sciknoweval_mcqa
sciq, score_non_greedy_robustness_agieval, score_non_greedy_robustness_math, score_non_greedy_robustness_mmlu_pro
score_option_order_robustness_agieval, score_option_order_robustness_mmlu_pro, score_prompt_robustness_agieval, score_prompt_robustness_math
score_prompt_robustness_mmlu_pro, score_robustness, scrolls_contractnli, scrolls_govreport
scrolls_narrativeqa, scrolls_qasper, scrolls_qmsum, scrolls_quality
scrolls_summscreenfd, self_consistency, sglue_rte, sib
simple_cooccurrence_bias, siqa_ca, slr_bench_all, slr_bench_basic
slr_bench_easy, slr_bench_group, slr_bench_hard, slr_bench_medium
social_bias, social_iqa, spanish_bench, squad_completion
squadv2, sst2, storycloze, stsb
summarization_gl, super-glue-lm-eval-v1, super-glue-lm-eval-v1-seq2seq, super-glue-t5-prompt
super_glue-boolq-t5-prompt, super_glue-cb-t5-prompt, super_glue-copa-t5-prompt, super_glue-multirc-t5-prompt
super_glue-record-t5-prompt, super_glue-rte-t5-prompt, super_glue-wic-t5-prompt, super_glue-wsc-t5-prompt
swag, swde, sycophancy, t0_eval
tatoeba_eng_nno, tatoeba_eng_nob, tatoeba_nno_eng, tatoeba_nob_eng
teca, tinyArc, tinyBenchmarks, tinyGSM8k
tinyHellaswag, tinyMMLU, tinyTruthfulQA, tinyWinogrande
tmlu, tmmluplus, toxigen, translation
transliteration_all, transliteration_ar_dr, transliteration_dr_ar, trasnlation_all_doda
trasnlation_all_flores, trasnlation_all_madar, trasnlation_all_seed, trasnlation_dr_en_doda
trasnlation_dr_en_flores, trasnlation_dr_en_seed, trasnlation_dr_fr_doda, trasnlation_dr_fr_flores
trasnlation_dr_msa_doda, trasnlation_dr_msa_flores, trasnlation_dr_msa_madar, trasnlation_en_dr_doda
trasnlation_en_dr_flores, trasnlation_en_dr_seed, trasnlation_fr_dr_doda, trasnlation_fr_dr_flores
trasnlation_msa_dr_doda, trasnlation_msa_dr_flores, trasnlation_msa_dr_madar, triviaqa
truthfulqa, truthfulqa-multi, turblimp_anaphor_agreement, turblimp_argument_structure_ditransitive
turblimp_argument_structure_transitive, turblimp_binding, turblimp_core, turblimp_determiners
turblimp_ellipsis, turblimp_irregular_forms, turblimp_island_effects, turblimp_nominalization
turblimp_npi_licensing, turblimp_passives, turblimp_quantifiers, turblimp_relative_clauses
turblimp_scrambling, turblimp_subject_agreement, turblimp_suspended_affixation, turkishmmlu
uhura-arc-easy_am_prompt_1, uhura-arc-easy_am_prompt_2, uhura-arc-easy_am_prompt_3, uhura-arc-easy_am_prompt_4
uhura-arc-easy_am_prompt_5, uhura-arc-easy_en_prompt_1, uhura-arc-easy_en_prompt_2, uhura-arc-easy_en_prompt_3
uhura-arc-easy_en_prompt_4, uhura-arc-easy_en_prompt_5, uhura-arc-easy_ha_prompt_1, uhura-arc-easy_ha_prompt_2
uhura-arc-easy_ha_prompt_3, uhura-arc-easy_ha_prompt_4, uhura-arc-easy_ha_prompt_5, uhura-arc-easy_nso_prompt_1
uhura-arc-easy_nso_prompt_2, uhura-arc-easy_nso_prompt_3, uhura-arc-easy_nso_prompt_4, uhura-arc-easy_nso_prompt_5
uhura-arc-easy_sw_prompt_1, uhura-arc-easy_sw_prompt_2, uhura-arc-easy_sw_prompt_3, uhura-arc-easy_sw_prompt_4
uhura-arc-easy_sw_prompt_5, uhura-arc-easy_yo_prompt_1, uhura-arc-easy_yo_prompt_2, uhura-arc-easy_yo_prompt_3
uhura-arc-easy_yo_prompt_4, uhura-arc-easy_yo_prompt_5, uhura-arc-easy_zu_prompt_1, uhura-arc-easy_zu_prompt_2
uhura-arc-easy_zu_prompt_3, uhura-arc-easy_zu_prompt_4, uhura-arc-easy_zu_prompt_5, uhura_arc_easy
uleval, ulqa, ulut, unfair_tos
unscramble, uyghur_language, uyghur_literature, uyghur_llm
vaxx_stance, wag, webqs, wic
wiceu, wikitext, winogender, winogrande
wmdp, wmt-ro-en-t5-prompt, wmt14, wmt14-en-fr
wmt14-fr-en, wmt16, wmt16-de-en, wmt16-en-de
wmt16-en-ro, wmt16-ro-en, wnli, wsc
wsc273, wsm, wub, wum
xcopa, xlsum_amharic_prompt_1, xlsum_amharic_prompt_2, xlsum_amharic_prompt_3
xlsum_arabic_prompt_1, xlsum_arabic_prompt_2, xlsum_arabic_prompt_3, xlsum_es
xlsum_hausa_prompt_1, xlsum_hausa_prompt_2, xlsum_hausa_prompt_3, xlsum_igbo_prompt_1
xlsum_igbo_prompt_2, xlsum_igbo_prompt_3, xlsum_kirundi_prompt_1, xlsum_kirundi_prompt_2
xlsum_kirundi_prompt_3, xlsum_oromo_prompt_1, xlsum_oromo_prompt_2, xlsum_oromo_prompt_3
xlsum_pidgin_prompt_1, xlsum_pidgin_prompt_2, xlsum_pidgin_prompt_3, xlsum_prompt_1
xlsum_prompt_2, xlsum_prompt_3, xlsum_somali_prompt_1, xlsum_somali_prompt_2
xlsum_somali_prompt_3, xlsum_swahili_prompt_1, xlsum_swahili_prompt_2, xlsum_swahili_prompt_3
xlsum_tasks, xlsum_telugu_prompt_1, xlsum_telugu_prompt_2, xlsum_telugu_prompt_3
xlsum_tigrinya_prompt_1, xlsum_tigrinya_prompt_2, xlsum_tigrinya_prompt_3, xlsum_yoruba_prompt_1
xlsum_yoruba_prompt_2, xlsum_yoruba_prompt_3, xlum, xnli
xquad, xstorycloze, xsum, xwinograd
yahoo_answers_topics, zhoblimp
vlm_eval_kit — 375 benchmarks • Vision-language benchmarks ([VLMEvalKit](https://github.com/open-compass/VLMEvalKit))3DSRBench, A-Bench_TEST, A-Bench_VAL, A-OKVQA
A4Bench, AI2D_MINI, AI2D_TEST, AMBER
APhO_2025, AesBench_TEST, AesBench_VAL, Asclepius
AyaVisionBench, B, BLINK, BMMR
BMMR_mini, C, CCBench, CCOCR
CG-AV-Counting_32frame, CG-AV-Counting_64frame, CG-Bench_MCQ_Grounding, CG-Bench_MCQ_Grounding_Mini
CG-Bench_OpenEnded, CG-Bench_OpenEnded_Mini, CGAVCounting, CGBench_MCQ_Grounding_16frame_subs_subt_ft
CGBench_MCQ_Grounding_32frame_subs, CGBench_MCQ_Grounding_Mini_8frame_subs_subt, CGBench_OpenEnded_16frame_subs_subt_ft, CGBench_OpenEnded_8frame
CGBench_OpenEnded_Mini_8frame_subs_subt_ft, CMMMU_VAL, CMMU_MCQ, COCO_VAL
CRPE_EXIST, CRPE_RELATION, CV-Bench-2D, CV-Bench-3D
CVQA_EN, CVQA_LOC, CharXiv_descriptive_val, CharXiv_reasoning_val
ChartCap, ChartMimic_v1, ChartMimic_v2, ChartMuseum_dev
ChartMuseum_test, ChartQAPro, ChartQA_TEST, ChartX
CoreCognition, CountBenchQA, Creation_MMBench, DA-2K
DREAM-1K, DSRBench, DUDE, DUDE_MINI
Design2Code, Detailed_Difference, DocVQA_TEST, DocVQA_VAL
DynaMath, EMMA, ERIQ, ERQA
EgoExoBench_64frame, EgoExoBench_MCQ, EmbSpatialBench, EuPhO_2024
EuPhO_2025, F_MA_2024, F_MA_2025, FoxBench
GMAI-MMBench_TEST, GMAI-MMBench_VAL, GOBench, GQA_TestDev_Balanced
GSM8K-V, GroundingME, HRBench4K, HRBench8K
HallusionBench, HiPhO_ALL, IPhO_2024, IPhO_2025
InfoVQA_TEST, InfoVQA_VAL, Instance_Comparison, K-DTCBench
LEGO, LENS-CN-QA, LENS-CN-QA_MINI, LLaVABench
LiveMMBench_Creation, LiveMMBench_Infographic, LiveMMBench_Perception, LiveMMBench_Reasoning
LogicVista, LongVideoBench, M4Bench, MATBench
MEGABench, MIA-Bench, MLLMGuard_DS, MLVU
MM-HELIX, MM-IFEval, MM-Math, MMAlignBench
MMBench, MMBench-Video, MMCR, MMDU
MME, MME-RealWorld, MME-RealWorld-CN, MME-RealWorld-Lite
MME-Reasoning, MMESCI_EN, MMESCI_ES, MMESCI_FR
MMESCI_JA, MMESCI_VisionOnly, MMESCI_ZH, MMGenBench-Domain
MMGenBench-Test, MMLongBench_DOC, MMMB, MMMU_DEV_VAL
MMMU_Pro_10c, MMMU_Pro_V, MMMU_TEST, MMReason_testmini
MMSIBench_circular, MMSIBench_wo_circular, MMSIVideoBench, MMSci_DEV_Captioning_image_only
MMSci_DEV_Captioning_with_abs, MMSci_DEV_MCQ, MMStar, MMStar_MINI
MMT-Bench_ALL, MMT-Bench_VAL, MMVMBench, MMVP
MMVet, MMVet_Hard, MM_NIAH_TEST, MM_NIAH_VAL
MOAT, MSEarthMCQ, MTL_MMBench_DEV, MTVQA_TEST
MUIRBench, MVBench, MVTamperBench, MVTamperBenchEnd
MVTamperBenchStart, MVU-Eval, MaCBench, MathCanvas-Bench
MathVerse_MINI, MathVision, MathVision_MINI, MathVista_MINI
MedXpertQA_MM_test, MedqbenchCaption, MedqbenchMCQ, MedqbenchPairedDescription_dev
MedqbenchPairedDescription_test, MicroBench, MicroVQA, MindCubeBench_raw_qa
MindCubeBench_tiny_raw_qa, MovieChat1k, NBPhO_2024, NBPhO_2025
NaturalBenchDataset, OCRBench, OCRBench_MINI, OCRBench_v2
OCRVQA_TEST, OCRVQA_TESTCORE, OCR_Reasoning, OMTGBench
OST, OSWorld_G, OceanOCRBench, OlympiadBench
Omni3DBench, OmniDocBench, OmniEarth-Bench, OmniMedVQA
OmniSpatialBench, POPE, PanMechanics_2024, PanMechanics_2025
PanPhO_2024, PanPhO_2025, PathMMU_TEST, PathMMU_VAL
PathVQA_TEST, PathVQA_VAL, PhyX_MC, PhyX_OE
PhyX_mini_MC, PhyX_mini_OE, Physics, PlotQA
PuzzleVQA, Q-Bench1_TEST, Q-Bench1_VAL, QBench_Video
QSpatial_plus, QSpatial_scannet, R-Bench-Dis, R-Bench-Ref
RealWorldQA, ReasonMap-Plus, RefCOCO, RefSpatial
RefSpatial-Bench, RefSpatial-Bench-Location, RefSpatial-Bench-Placement, RefSpatial-Bench-Unseen
RefSpatial-Location, RefSpatial-Placement, RefSpatial-Unseen, RoboSpatialHome
SArena_MINI, SCAM, SEEDBench2, SEEDBench_IMG
SFE, SFE-zh, SLIDEVQA, SLIDEVQA_MINI
SPBench-MV, SPBench-SI, SSI_Bench, STI-Bench
ScienceQA_TEST, ScienceQA_VAL, ScreenSpot, ScreenSpot_Pro
ScreenSpot_v2, SeePhys, SimpleVQA, SiteBenchImage
SiteBenchVideo, SparBench, SparBench_tiny, Spatial457
SpatialEval, SpatialVizBench, Spatial_Perception, StareBench
State_Comparison, State_Invariance, StaticEmbodiedBench, T
TableVQABench, TallyQA, TaskMeAnything_v1_imageqa_random, TempCompass
TextVQA_VAL, TopViewRS, TreeBench, UniSVG
V, V2P-Bench, V2PBench_128frame_nopack, V2PBench_16frame_nopack
V2PBench_1fps_nopack, V2PBench_2frame_nopack, V2PBench_64frame_nopack, V2PBench_8frame_nopack
VBGD, VCR-Bench, VCRBench_16frame_nopack, VCRBench_1fps_nopack
VCRBench_32frame_nopack, VCRBench_64frame_nopack, VCRBench_8frame_nopack, VCR_EN_EASY_100
VCR_EN_EASY_500, VCR_EN_EASY_ALL, VCR_EN_HARD_100, VCR_EN_HARD_500
VCR_EN_HARD_ALL, VCR_ZH_EASY_100, VCR_ZH_EASY_500, VCR_ZH_EASY_ALL
VCR_ZH_HARD_100, VCR_ZH_HARD_500, VCR_ZH_HARD_ALL, VDC
VGRPBench, VL-RewardBench, VLADBench, VLM2Bench
VLMBias, VLMBlind, VLRMBench, VMCBench_DEV
VMCBench_TEST, VSI-Bench, VSI-Bench-Debiased, VSR-zeroshot
VStarBench, VenusBench-GD, Video-MME, Video-TT
VideoMMMU, Video_Holmes, Video_MMLU_CAP, Video_MMLU_QA
Video_TT_16frame, Video_TT_32frame, Video_TT_64frame, ViewSpatialBench
VisFactor, VisOnlyQA-VLMEvalKit, VisuLogic, VisualPuzzles
VizWiz, VsiSuperCount_10mins, VsiSuperCount_120mins, VsiSuperCount_30mins
VsiSuperCount_60mins, VsiSuperRecall_10mins, VsiSuperRecall_120mins, VsiSuperRecall_240mins
VsiSuperRecall_30mins, VsiSuperRecall_60mins, WeMath, WildDoc
WildVision, WorldMedQA-V, WorldSense, WorldVQA
XLRS-Bench-lite, ZEROBench, atomic_dataset, c
e, electro_dataset, h, hle
mechanics_dataset, moviechat1k_breakpoint_8frame, moviechat1k_global_14frame, moviechat1k_global_8frame_limit0.01
n, npmm, olmOCRBench, optics_dataset
quantum_dataset, statistics_dataset, tdbench_cs_depth, tdbench_cs_height
tdbench_cs_integrity, tdbench_cs_zoom, tdbench_grounding_rot0, tdbench_grounding_rot180
tdbench_grounding_rot270, tdbench_grounding_rot90, tdbench_rot0, tdbench_rot180
tdbench_rot270, tdbench_rot90, vlms_are_biased_main
Tested on Ubuntu with Python 3.10.2.
A CUDA GPU is required only for local model inference (the huggingface backend); the vllm/sglang/api/* backends run without a GPU.
# ffmpeg is needed for audio/video benchmarks.
# Java 11 is required for the pycocoevalcap SPICE / SPIDER metrics.
# Avoid newer JREs (Java 17+/21): their module-access tightening breaks the
# FST serialization library bundled with the SPICE jars.
sudo apt-get update && sudo apt-get install -y ffmpeg openjdk-11-jre-headless
sudo update-alternatives --set java /usr/lib/jvm/java-11-openjdk-amd64/bin/java
If you're an AI coding agent (e.g. Claude Code) working in this repo, you can use the setup-env skill at .claude/skills/setup-env instead of running install commands by hand.
Invoke it with /setup-env (or with trigger phrases like "install env", "setup environment").
The skill:
.omni_<group>, uv, Python 3.10.2) so mutually-exclusive extras never clash.pyproject.toml as the source of truth for pinned commits, and prefers submodule-first installs over pip+git.import verification at the end.First install the system prerequisites (Prerequisites) — the skill manages the Python environment only.
If you're setting up the environment manually, we strongly recommend uv for fast, reproducible installs.
1. Create and activate a virtual environment
# install uv (if you don't have it), then create the env
uv venv ~/.omni --python=3.10.2
source ~/.omni/bin/activate
2. Clone and install
git clone https://github.com/naver-ai/omni-evaluator.git
cd omni-evaluator
uv pip install -e ".[lmms_eval,lm_eval]" --cache-dir=/tmp
uv pip install flash-attn --no-build-isolation # optional; requires CUDA compute capability >= 8.0
python -m nltk.downloader all
3. (Optional) Install extras — install extras for the specific evaluation engines and models you plan to use. See Optional Dependencies.
That's it — head to the Quick Start. If you hit a snag during install, check Troubleshooting.
Install extras according to the evaluation engine and model you intend to use. Each extras group pins different dependency versions, so installing multiple extras at once may cause version conflicts — when in doubt, reinstall with a single group before running.
| Extra | Package | Repository | Commit | Verified |
|---|---|---|---|---|
lmms_eval | lmms_eval | EvolvingLMMs-Lab/lmms-eval | 540724a | 2026.03.14 |
lm_eval | lm_eval | EleutherAI/lm-evaluation-harness | d800e04 | 2026.03.14 |
vlmeval | vlmeval | open-compass/VLMEvalKit | 0080421 | 2026.03.14 |
pip install -e ".[lmms_eval]" # single install
pip install -e ".[lmms_eval,lm_eval]" # multiple install
Note: Installing some engines via
pip install -e(pip+git) can drop files — e.g.vlmevalis missing__init__.pyin some upstream modules, which causes import errors. When that happens, clone the submodule yourself at the commit pinned inpyproject.tomland install from the local path:
# Example: lmms_eval — clone under submodules/ at the pinned hash, then install editable
git clone https://github.com/EvolvingLMMs-Lab/lmms-eval.git submodules/lmms-eval
cd submodules/lmms-eval
git checkout 540724a5250672b03dc6a6b4b38cff39d5868eb6 # rev pinned in pyproject.toml
uv pip install -e . --cache-dir=/tmp
Additional packages required only when running inference on specific models with the huggingface backend.
Not needed for vllm, sglang, or api/*.
| Extra | Package (Version) | Repository / Source | Commit | Verified | Inference Engine / Model |
|---|---|---|---|---|---|
deepseek_vl | deepseek_vl | deepseek-ai/DeepSeek-VL | 681bffb | 2026.02.04 | huggingface / deepseek_vl |
emu3 | emu3 | baaivision/Emu3 | 9d0ae34 | 2025.12.25 | huggingface / emu3 |
janus | janus | deepseek-ai/Janus | 1daa72f | 2025.12.25 | huggingface / janus, janus_pro |
minicpmo | minicpmo (0.1.2), minicpmo-utils[all], onnx, onnxruntime, hyperpyyaml | PyPI | - | - | huggingface / mini_cpm_o |
voxtral | mistral-common[audio] (>=1.5.0) | PyPI | - | - | huggingface / voxtral |
pip install -e ".[janus]" # single install
pip install -e ".[janus,emu3]" # multiple install
minicpmo extras, the following packages must be pinned to exact versions:
uv pip install peft==0.17.1 transformers==4.51.0 vector_quantize_pytorch vocos
mistral-common[audio] (from mistral_common.audio import Audio).Three evaluation-related submodules (CharXiv, Tar, VoiceBench) are research codebases without Python packaging metadata. Custom setup.py wrappers are provided in submodules/_packaging/ to make them pip-installable.
| Submodule | Package | Purpose | Processed in |
|---|---|---|---|
CharXiv | charxiv | Chart understanding evaluation for multimodal LLMs | evaluation/builtin/tasks/charxiv_*, omni_bench_test |
Tar | ta_tok | Text-aligned visual tokenizer (TaTok) | modules/image_generation/ta_tok/ |
VoiceBench | voice_bench | Voice assistant evaluation benchmark | evaluation/builtin/tasks/voice_bench_test |
git submodule update --init submodules/CharXiv
cp -r submodules/_packaging/CharXiv/* submodules/CharXiv/
pip install submodules/CharXiv
Repeat for Tar, VoiceBench.
Install caveats (the wrappers leave
install_requiresempty so the install never downgrades the project's pinned stack —transformers>=4.57,datasets>=4.0; install with--no-deps):
- CharXiv uses bare intra-package imports (
from constants import ...). Thecharxiv_*task shims this at runtime (sys.modules["constants"] = charxiv.constants), so it works as-is once installed — no manual fix needed.- VoiceBench's evaluators need a few lightweight import-time deps the wrapper omits — install
qa_metricsand thecontractionschain (contractions textsearch pyahocorasick anyascii) with--no-deps. Do not install its fullrequirements.txt(transformers==4.47/datasets==3.0conflict with the modern venv); the eval path uses an OpenAI API judge, not local whisper/litgpt.
These submodules ship their own packaging metadata (setup.py or pyproject.toml) and can be installed directly.
| Submodule | Package | Purpose | Task | Processed in |
|---|---|---|---|---|
tau-bench | tau_bench | Tool-agent user benchmark | tau_bench_test | evaluation/builtin/tasks/tau_bench_test |
tau2-bench | tau2 | Tool-agent user benchmark v2 | tau2_bench_test | evaluation/builtin/tasks/tau2_bench_test, live_code_bench_test |
git submodule update --init submodules/tau-bench submodules/tau2-bench
pip install submodules/tau-bench submodules/tau2-bench
These submodules provide evaluation data only and do not require installation.
| Submodule | Purpose | Task | Processed in |
|---|---|---|---|
MultimodalOCR | OCRBench / OCRBench v2 evaluation data | ocr_bench_test, ocr_bench_v2_test | evaluation/builtin/tasks/ocr_bench_test, ocr_bench_v2_test |
git submodule update --init submodules/MultimodalOCR
The Quick Start runs one image-text benchmark end-to-end.
It evaluates Qwen2.5-Omni-3B on the local huggingface backend against textvqa_val from the lmms_eval engine.
A CUDA GPU and a one-time model download (~7 GB) are required; the run uses --debug mode (3 samples), so it finishes within a couple of minutes.
1. Configure .env. Copy the template (git-ignored, auto-loaded at runtime via dotenv), then fill in only what your run needs:
cp .env.example .env
# ── HuggingFace — required for the Quick Start below (huggingface backend) ──
HF_TOKEN="hf_..." # required by the huggingface engine; any non-empty value works for public models
HF_HOME="/mnt/tmp/hf" # point large model / dataset downloads to a volume with free space —
HF_HUB_CACHE="${HF_HOME}/hub" # keeps the home / root volume from filling up
# ── Inference-engine API keys — only for the api/* and vllm backends ──
OPENAI_API_KEY="sk-..." # api/openai
ANTHROPIC_API_KEY="sk-ant-..." # api/anthropic
GOOGLE_API_KEY="..." # api/google
VLLM_API_KEY="..." # vllm
# ── S3 (S3ClientArgs) — only when builtin benchmarks pull their data from S3 ──
S3_BUCKET_NAME="..." S3_ACCESS_KEY="..." S3_SECRET_KEY="..." S3_ENDPOINT_URL="..."
Additional submodule / external-library variables (VLMEvalKit, lmms-eval, tau-bench, experiment tracking, proxy, …) live in
.env.exampleunder SECTION 2 — copy what you need.
2. Run one benchmark:
CUDA_VISIBLE_DEVICES=0 python run.py evaluate \
--inference_engine="huggingface" \
--model_name_or_path="Qwen/Qwen2.5-Omni-3B" \
--evaluation_engine="lmms_eval" \
--benchmarks="textvqa_val" \
--exp_name="quickstart" \
--output_dirpath="/mnt/tmp/omni_output" \
--torch_dtype="bfloat16" \
--debug \ # Only 3 samples are used
--do_async \
--verbose
3. Expected output. You'll see a one-time model download, then inference and scoring (abridged):
INFO Set `exp_name`: debug__quickstart__huggingface
INFO Set `output_dirpath`: /mnt/tmp/omni_output/debug__quickstart__huggingface/checkpoint-none/lmms_eval
INFO Execute inference
... (one-time model download, then inference on 3 samples — --debug)
INFO Saved output: /mnt/tmp/omni_output/debug__quickstart__huggingface/checkpoint-none/lmms_eval/output/textvqa_val__generation.json
# EvaluationOutput [textvqa_val] (huggingface/lmms_eval)
- evaluation_method : generation
- num_samples : 3.0000
- coverage_inference : 1.0000
- coverage_evaluation : 1.0000
- metrics (overall) :
- exact_match : 1.0000
- exact_match_stderr: 0.0000
Results are written under your output directory, organized as:
<output_dir>/<exp_name>/<version>/<evaluation_engine>/output/<benchmark>__<method>.json
No GPU? Swap in an API backend instead — e.g.
--inference_engine="api/openai" --api_name="gpt-4o"with--evaluation_engine="builtin" --benchmarks="mmbench_en_dev"(setOPENAI_API_KEYin.env). This needs no GPU and no model download (see the Engine-specific Guides).
Everything runs through a single entry point — python run.py — and the entire CLI is covered by just two subcommands:
python run.py [-h] {list,evaluate} ...
| Subcommand | What it's for |
|---|---|
list | Discover what you can run — the available inference / evaluation engines and their tasks |
evaluate | Run an evaluation end-to-end (identical to python evaluate.py) |
The usual flow is two steps: list to find an engine and task, then evaluate to run it. Running with no arguments prints help.
list — Query available engines and tasks# List inference engines
python run.py list --inference_engines
# → ['huggingface', 'vllm', 'sglang', 'api/openai', 'api/anthropic', 'api/google']
# List evaluation engines
python run.py list --evaluation_engines
# → ['builtin', 'lmms_eval', 'lm_eval_harness', 'vlm_eval_kit']
# List tasks for a specific evaluation engine
python run.py list --tasks --evaluation_engine="builtin"
| Flag | Description |
|---|---|
--inference_engines | Print available inference engines |
--evaluation_engines | Print available evaluation engines |
--tasks | Print tasks for an engine. Must be used with --evaluation_engine |
--evaluation_engine | Engine to query: builtin, lmms_eval, lm_eval_harness, vlm_eval_kit |
--tasksrequires--evaluation_engine. Queryinglmms_eval,lm_eval_harness, orvlm_eval_kitrequires the corresponding optional dependency to be installed.
evaluate — Run evaluationpython run.py evaluate behaves identically to python evaluate.py. For engine-specific arguments and example commands, see the Engine-specific Guides below.
Common arguments
| Argument | Default | Description |
|---|---|---|
--inference_engine | (required) | Inference backend: huggingface, vllm, sglang, api/openai, api/anthropic, api/google |
--evaluation_engine | builtin | Evaluation framework: builtin, lmms_eval, lm_eval_harness, vlm_eval_kit |
--exp_name | (required) | Experiment name used for the result directory and display |
--benchmarks | (engine default) | Comma-separated list of benchmark names |
--do_async | false | Enable asynchronous parallel requests |
--resume | false | Skip benchmarks that already have saved results |
--skip_inference | false | Skip inference and reuse existing results |
--reasoning | false | Enable reasoning mode |
--reasoning_effort | None | Reasoning effort for OpenAI o-series: low, medium, high |
--thinking_budget | None | Thinking token budget for Anthropic/Google thinking models |
--debug | false | Debug mode with reduced dataset |
--seed | None | Random seed (vLLM, SGLang) |
Generation options are shared across engines via GenerationOptionArgs. Each engine uses only the subset it supports — unsupported options are silently dropped. See each engine's README for per-engine support.
| Argument | Default | Description |
|---|---|---|
--temperature | None | Sampling temperature |
--top_p | None | Top-p (nucleus) sampling threshold |
--top_k | None | Top-k filtering (not supported by OpenAI) |
--num_beams | None | Beam search width (HuggingFace only) |
--max_new_tokens | None | Maximum new tokens to generate |
--repetition_penalty | None | Repetition penalty; maps to frequency_penalty for OpenAI/Google |
--length_penalty | None | Length penalty (HuggingFace only) |
--stop_words | None | Comma-separated stop sequences |
--frequency_penalty | None | Frequency penalty (OpenAI, Google) |
--presence_penalty | None | Presence penalty (OpenAI, Google) |
--n | None | Number of independent output sequences (vLLM, SGLang, OpenAI) |
--logprobs | None | Number of log-probability tokens per step (vLLM, SGLang, OpenAI) |
--top_logprobs | None | Top token log probabilities to return (OpenAI only) |
--do_sample | None | Enable sampling; None uses model default (HuggingFace only) |
For detailed arguments, required environment variables, and example run commands, see each engine's README:
| Engine Type | Engine | README |
|---|---|---|
| Inference | huggingface | omni_evaluator/inference/huggingface/ |
| Inference | vllm | omni_evaluator/inference/vllm/ |
| Inference | api/openai, api/anthropic, api/google | omni_evaluator/inference/api/ |
| Evaluation | builtin | omni_evaluator/evaluation/builtin/ |
| Evaluation | lmms_eval | omni_evaluator/evaluation/lmms_eval/ |
| Evaluation | lm_eval_harness | omni_evaluator/evaluation/lm_eval_harness/ |
| Evaluation | vlm_eval_kit | omni_evaluator/evaluation/vlm_eval_kit/ |
Run evaluations locally with python run.py evaluate or the equivalent python evaluate.py. Run with --help to see every option.
Useful flags
--resume — when running multiple benchmarks, skip those that already have saved results.--skip_inference — reuse existing inference results and re-run only the evaluation (e.g. with different eval parameters).lmms_eval and vlm_eval_kit may take several minutes or more to load datasets.launch_server.py is a FastAPI-based job-queue server for submitting, querying, and deleting evaluation jobs over HTTP.
Start the server
python launch_server.py \
--host 0.0.0.0 \
--port 8080 \
--base "python evaluate.py" \
--max_concurrent 1 \
--log_dir "./logs"
| Argument | Description | Default |
|---|---|---|
--host | Server bind address | 0.0.0.0 |
--port | Server port | 8080 |
--base | Base command to execute | python evaluate.py |
--max_concurrent | Maximum number of concurrent jobs | 1 |
--log_dir | Directory for job logs | ./logs |
POST /add_job — Add a job
# Pass arguments as a string
curl -X POST http://localhost:8080/add_job \
-H "Content-Type: application/json" \
-d '{"arguments": "--task=docvqa --model_path=/path/to/model"}'
# Pass arguments as a dict
curl -X POST http://localhost:8080/add_job \
-H "Content-Type: application/json" \
-d '{"arguments": {"task": "docvqa", "model_path": "/path/to/model"}}'
POST /get_state — Query job status
curl -X POST http://localhost:8080/get_state \
-H "Content-Type: application/json" \
-d '{"pid": "<job_pid>"}'
Status: pending → inprogress → completed / failed / terminated
POST /remove_job — Remove/terminate a job
curl -X POST http://localhost:8080/remove_job \
-H "Content-Type: application/json" \
-d '{"pid": "<job_pid>"}'
GET /jobs — List all jobs
curl http://localhost:8080/jobs
Common setup and runtime issues, grouped by where they occur. Expand a group to see fixes.
flash-attn fails to build or import
Cause: GPU compute capability below 8.0. flash-attn is optional.
Fix: install only on a GPU with compute capability ≥ 8.0:
uv pip install flash-attn --no-build-isolation
mini_cpm_o doesn't work even after installing the minicpmo extras
Cause: a few packages aren't version-pinned by the extras group.
Fix: pin them explicitly:
uv pip install peft==0.17.1 transformers==4.51.0 vector_quantize_pytorch vocos
voxtral audio import fails (from mistral_common.audio import Audio)
Cause: the mistral-common audio extra is missing.
Fix:
pip install "mistral-common[audio]"
SPICE / SPIDER metrics crash on Java 17 or 21 Cause: newer JREs tighten module access, which breaks the FST serialization library bundled with the SPICE jars. Fix: use Java 11:
sudo apt-get install -y openjdk-11-jre-headless
sudo update-alternatives --set java /usr/lib/jvm/java-11-openjdk-amd64/bin/java
pycocoevalcap fails to download Stanford CoreNLP (urllib.error.ContentTooShortError)
Cause: the runtime auto-download is unreliable.
Fix: pre-fetch the two jars from Maven Central and place them under <pycocoevalcap>/spice/lib/:
SPICE_LIB="$(python -c 'import pycocoevalcap, os; print(os.path.join(os.path.dirname(pycocoevalcap.__file__), "spice", "lib"))')"
curl -L --retry 5 -o "$SPICE_LIB/stanford-corenlp-3.6.0.jar" \
https://repo1.maven.org/maven2/edu/stanford/nlp/stanford-corenlp/3.6.0/stanford-corenlp-3.6.0.jar
curl -L --retry 5 -o "$SPICE_LIB/stanford-corenlp-3.6.0-models.jar" \
https://repo1.maven.org/maven2/edu/stanford/nlp/stanford-corenlp/3.6.0/stanford-corenlp-3.6.0-models.jar
unbabel-comet is rejected by the resolver (uv / modern pip)
Cause: COMET hard-pins transformers<5, torchmetrics<0.11, etc., which conflict with the project's modern stack. The runtime works fine despite those metadata pins.
Fix: install without dependencies:
uv pip install --no-deps --cache-dir=/tmp unbabel-comet
COMET is only needed for fleurs_en2ko_test, fleurs_en2zh_test, fleurs_ko2en_test, fleurs_zh2en_test — skip it otherwise.
vlmeval import errors after a pip+git install
Cause: some upstream modules are missing __init__.py files.
Fix: clone the repository manually and install from the local path:
cd submodules
git clone https://github.com/open-compass/VLMEvalKit.git
cd VLMEvalKit && git checkout 0080421
uv pip install -e . --cache-dir=/tmp
Version conflicts after installing multiple extras at once Cause: each extras group pins different dependency versions. Fix: reinstall with a single extras group before running an evaluation:
pip install -e ".[lmms_eval]" # one group at a time
Extras dependencies are broken or incomplete
Fix: install the base package first, then install each evaluation engine manually from submodules/:
cd submodules
git clone https://github.com/EvolvingLMMs-Lab/lmms-eval.git
cd lmms-eval
git checkout 540724a
uv pip install -e . --cache-dir=/tmp
OmniEvaluator
Copyright (c) 2026-present NAVER Cloud Corp.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
implied. See the License for the specific language governing
permissions and limitations under the License.
11 commits
Python
94.4%
JavaScript
3.2%
HTML
1.3%
CSS
1.1%