4
stars
2
commits
1
linked in READMEs
Jul 17, 2026
updated
This repository contains test splits from multiple speech corpora, including FLEURS, Common Voice (MCV), and Multilingual LibriSpeech (MLS).
To load a specific subset, use load_dataset with the corresponding config_name in the format <set>_<lang>.
from datasets import load_dataset
# Load the FLEURS dataset for Bulgarian
fleurs_bg = load_dataset("nithinraok/asr-leaderboard-datasets", "fleurs_bg")
print(fleurs_bg)
# Load the MCV dataset for English
mcv_en = load_dataset("nithinraok/asr-leaderboard-datasets", "mcv_en")
print(mcv_en)
# Load the MLS dataset for Spanish
mls_es = load_dataset("nithinraok/asr-leaderboard-datasets", "mls_es")
print(mls_es)
1 commits
1 commits
4
stars
2
commits
1
linked in READMEs
Jul 17, 2026
updated
This repository contains test splits from multiple speech corpora, including FLEURS, Common Voice (MCV), and Multilingual LibriSpeech (MLS).
To load a specific subset, use load_dataset with the corresponding config_name in the format <set>_<lang>.
from datasets import load_dataset
# Load the FLEURS dataset for Bulgarian
fleurs_bg = load_dataset("nithinraok/asr-leaderboard-datasets", "fleurs_bg")
print(fleurs_bg)
# Load the MCV dataset for English
mcv_en = load_dataset("nithinraok/asr-leaderboard-datasets", "mcv_en")
print(mcv_en)
# Load the MLS dataset for Spanish
mls_es = load_dataset("nithinraok/asr-leaderboard-datasets", "mls_es")
print(mls_es)
1 commits
1 commits