SArena Benchmark β A companion benchmark offering unified task definitions and standardized evaluation protocols, aligned with SAgogeβs domains and difficulty spectrum. It enables consistent comparison across SVG understanding, editing, and generation tasks under a single, multimodal framework.
SArena encompasses four data domains and multiple task types:
π§© Data Domains: icon, illustration, chemistry, and animation.
π― Task Types
Icon
Understanding: Multiple-choice question answering on SVG content and attributes.
Editing:
Simple Editing: color adjustment, stroke addition, translation, scaling, rotation, flipping, transparency modification, and cropping.
Complex Editing: semantic color editing and style transfer.
Generation: Text-to-SVG and Image-to-SVG synthesis tasks.
Illustration β Text-to-SVG and Image-to-SVG generation, targeting compositional and stylistic fidelity in long-form vector drawings.
Chemistry β Text-to-SVG and Image-to-SVG conversion, aligning structural depiction with chemical semantics.
Animation β Text-to-SANI and Video-to-SANI tasks, generating frame-synchronized SVG animations.
All data samples are stored in standardized .jsonl format, each containing structured inputβoutput pairs that follow the InternVL-style chat schema.
You can use the huggingface_hub command to download directly:
hf download InternSVG/SArena SArena.zip --repo-type dataset --resume-download --local-dir PATH_TO_YOUR_DIR
unzip SArena.zip
After extraction, you will get:
SArena/
βββ animation/
β βββ overall/
β βββ svg/
β βββ video/
β βββ text2sani.jsonl
β βββ video2sani.jsonl
β
βββ chemistry/
β βββ images/
β βββ svg/
β βββ img2svg.jsonl
β βββ text2svg.jsonl
β
βββ illustration/
β βββ images/
β βββ svg/
β βββ caption.jsonl
β βββ img2svg.jsonl
β βββ text2svg.jsonl
β
βββ Icon/
β βββ edit/
β β βββ data/
β β βββ color_complex.jsonl
β β βββ color_simple.jsonl
β β βββ crop.jsonl
β β βββ flip.jsonl
β β βββ opacity.jsonl
β β βββ outline.jsonl
β β βββ rotate.jsonl
β β βββ scale.jsonl
β β βββ styletransform_openmoji.jsonl
β β βββ translate.jsonl
β β
β βββ generation/
β β βββ images/
β β βββ svg/
β β βββ caption.jsonl
β β βββ img2svg.jsonl
β β βββ text2svg.jsonl
β β
β βββ understanding/
β βββ sarena_un.jsonl
SArena Benchmark β A companion benchmark offering unified task definitions and standardized evaluation protocols, aligned with SAgogeβs domains and difficulty spectrum. It enables consistent comparison across SVG understanding, editing, and generation tasks under a single, multimodal framework.
SArena encompasses four data domains and multiple task types:
π§© Data Domains: icon, illustration, chemistry, and animation.
π― Task Types
Icon
Understanding: Multiple-choice question answering on SVG content and attributes.
Editing:
Simple Editing: color adjustment, stroke addition, translation, scaling, rotation, flipping, transparency modification, and cropping.
Complex Editing: semantic color editing and style transfer.
Generation: Text-to-SVG and Image-to-SVG synthesis tasks.
Illustration β Text-to-SVG and Image-to-SVG generation, targeting compositional and stylistic fidelity in long-form vector drawings.
Chemistry β Text-to-SVG and Image-to-SVG conversion, aligning structural depiction with chemical semantics.
Animation β Text-to-SANI and Video-to-SANI tasks, generating frame-synchronized SVG animations.
All data samples are stored in standardized .jsonl format, each containing structured inputβoutput pairs that follow the InternVL-style chat schema.
You can use the huggingface_hub command to download directly:
hf download InternSVG/SArena SArena.zip --repo-type dataset --resume-download --local-dir PATH_TO_YOUR_DIR
unzip SArena.zip
After extraction, you will get:
SArena/
βββ animation/
β βββ overall/
β βββ svg/
β βββ video/
β βββ text2sani.jsonl
β βββ video2sani.jsonl
β
βββ chemistry/
β βββ images/
β βββ svg/
β βββ img2svg.jsonl
β βββ text2svg.jsonl
β
βββ illustration/
β βββ images/
β βββ svg/
β βββ caption.jsonl
β βββ img2svg.jsonl
β βββ text2svg.jsonl
β
βββ Icon/
β βββ edit/
β β βββ data/
β β βββ color_complex.jsonl
β β βββ color_simple.jsonl
β β βββ crop.jsonl
β β βββ flip.jsonl
β β βββ opacity.jsonl
β β βββ outline.jsonl
β β βββ rotate.jsonl
β β βββ scale.jsonl
β β βββ styletransform_openmoji.jsonl
β β βββ translate.jsonl
β β
β βββ generation/
β β βββ images/
β β βββ svg/
β β βββ caption.jsonl
β β βββ img2svg.jsonl
β β βββ text2svg.jsonl
β β
β βββ understanding/
β βββ sarena_un.jsonl