Datasets:
CodeAnything 1.835M SFT and evaluation release
Gated public release containing the clean 1,835,476-sample training set, the 800-sample/16-domain evaluation set, paper-model predictions and rendered outputs, and raw per-sample rating records.
Layout
training/
manifest/
all_training_v5.jsonl
all_training_v5.jsonl.idx
all_training_v5.jsonl.true_lengths.u32
shards/<domain>/ exact media/code closure (tar shards)
evaluation/
benchmark/ 800 GT code + image/video samples
model_outputs/v4/<model>/ predictions.json + rendered/
model_outputs/v5/<model>/ predictions.json + rendered/
ratings/v3|v4|v5/ raw judge JSON records
The training manifest contains domain, language, code_file,
image_file/video_file, and code. Paths are relative to the extracted
training shard root. The .idx file stores JSONL byte offsets and the .u32
file stores precomputed token lengths used by the training fast path.
Evaluation
The benchmark contains 50 examples for each of 16 domains. Model-output directories preserve both generated code and the final artifact shown to the visual judge. Raw rating files include six rubric dimensions, overall score, and rationale per sample.
Model
The corresponding best Base-init checkpoint is available at
Ruler138/CodeAnything-Qwen3.5-9B-SFT-1.835M.
Code
Training, download, inference, rendering, and rating code is published at
yuweiyang-anu/Code_Anything on branch
release/sft-eval-history-20260910.
Access and use
This repository is public gated. Request access on the repository page, then authenticate with a Hugging Face user token. Users are responsible for reviewing the licenses and terms of upstream sources represented in the dataset before redistribution or commercial use.
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