| --- |
| license: other |
| task_categories: |
| - image-to-text |
| - text-generation |
| language: |
| - en |
| tags: |
| - code-generation |
| - multimodal |
| - scientific-visualization |
| - web-generation |
| - codeanything |
| size_categories: |
| - 1M<n<10M |
| --- |
| |
| # 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 |
|
|
| ```text |
| 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. |
|
|
