Remove 293 stale shard(s) from prior push
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- README.md +0 -72
- desktop/grounding/action/train/omniact/shard-00000-of-00006.parquet +0 -3
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README.md
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# cua-verse/Aguvis
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cua-lite preprocessed version of Aguvis (xlangai/aguvis-stage1 + aguvis-stage2) merged into one repo. Stage-1 contributes grounding:action sub-datasets (OmniAct, RICO, UI-RefExp, GUIEnv, SeeClick, WebUI); stage-2 contributes trajectory data (AITW, Android-Control, CoAT, GUIDE, MiniWoB). Both stages share the unified cua-lite SFT schema; the original stage boundary is preserved in metadata.others.
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## Origin
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- [https://huggingface.co/datasets/xlangai/aguvis-stage1](https://huggingface.co/datasets/xlangai/aguvis-stage1)
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- [https://huggingface.co/datasets/xlangai/aguvis-stage2](https://huggingface.co/datasets/xlangai/aguvis-stage2)
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## Schema
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Each row has these columns:
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| column | type | notes |
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|---|---|---|
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| `image_ids` | list[string] | content-addressed ids (`<sha256>.<ext>`), used for cross-parquet dedup |
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| `images` | list[Image] | bytes embedded at HF push time; matches `image_ids` index-for-index |
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| `messages` | list[struct] | OpenAI-style turns with `role` + structured `content` |
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| `metadata` | struct | `{platform, task_type, split, others{...}}` |
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Coordinate values in `messages` are normalized to `[0, 1000]` integers.
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## Layout
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```
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<platform>/<task_type>/<split>/<variant>.parquet
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```
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- `platform` ∈ {desktop, mobile, web}
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- `task_type` ∈ {understanding, grounding:action, grounding:point, grounding:bbox, trajectory}
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- `split` ∈ {train, eval} — `eval` is an in-distribution held-out slice (not used in training)
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## Stats
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| platform | task_type | variant | train | eval |
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| desktop | grounding:action | omniact | 5,392 | 99 |
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| mobile | grounding:action | ricoig16k | 15,774 | 359 |
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| mobile | grounding:action | ricosca | 171,212 | 2,000 |
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| mobile | grounding:action | ui_refexp | 15,268 | 356 |
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| mobile | grounding:action | widget_cap | 99,485 | 1,940 |
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| mobile | trajectory | aitw | 1,698 | 30 |
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| mobile | trajectory | android_control | 12,318 | 263 |
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| mobile | trajectory | coat | 1,306 | 23 |
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| mobile | trajectory | guide | 595 | 12 |
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| web | grounding:action | guienv | 325,972 | 2,000 |
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| web | grounding:action | seeclick | 269,121 | 2,000 |
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| web | grounding:action | seeclick_mi | 269,119 | 2,000 |
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| web | grounding:action | webui | 56,302 | 1,087 |
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| web | trajectory | miniwob | 1,775 | 31 |
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## Image store
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Images are content-addressed by SHA-256 and deduplicated within this repo.
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The mapping `image_id → bytes` is embedded in every parquet via
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[`datasets.Image`](https://huggingface.co/docs/datasets/image_load). The
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`reverse.py` script in [cua-lite/cua-lite](https://github.com/cua-lite/cua-lite/tree/main/scripts/hf_upload)
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reconstructs a local `image_store/` + reference-only parquets, letting you
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re-dedup across datasets on your own machine.
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- Total images: **516,962**
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- Store size: **209.74 GB**
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## Notes
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Sub-datasets (variants) may have heterogeneous source licenses. See metadata.others.source for provenance. Many Aguvis sub-datasets overlap with standalone cua-lite datasets (Mind2Web, AMEX, etc.); deduplicate before mixing for training.
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## License & Citation
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See original datasets (xlangai/aguvis-stage1 and aguvis-stage2)
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See https://aguvis-project.github.io/
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