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| license: other | |
| tags: | |
| - cua-lite | |
| - gui | |
| - sft | |
| task_categories: | |
| - image-text-to-text | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: validation | |
| path: | |
| - "*/*/validation*parquet" | |
| - "*/*/validation/*.parquet" | |
| - "*/*/validation/*/*.parquet" | |
| - config_name: Qwen3-VL-32B-Instruct | |
| data_files: | |
| - split: validation | |
| path: | |
| - "*/*/validation/Qwen3-VL-32B-Instruct.parquet" | |
| - "*/*/validation/Qwen3-VL-32B-Instruct/*.parquet" | |
| - config_name: Qwen3.5-27B | |
| data_files: | |
| - split: validation | |
| path: | |
| - "*/*/validation/Qwen3.5-27B.parquet" | |
| - "*/*/validation/Qwen3.5-27B/*.parquet" | |
| - config_name: Qwen3.5-9B | |
| data_files: | |
| - split: validation | |
| path: | |
| - "*/*/validation/Qwen3.5-9B.parquet" | |
| - "*/*/validation/Qwen3.5-9B/*.parquet" | |
| - config_name: gpt-5.5 | |
| data_files: | |
| - split: validation | |
| path: | |
| - "*/*/validation/gpt-5.5.parquet" | |
| - "*/*/validation/gpt-5.5/*.parquet" | |
| # cua-lite/WebArena | |
| WebArena web-use agent rollout trajectories staged from ~/cua-lite-all-agents/.exps/eval/browsergym.webarena/2026-07-19T01-32_07f599ab7a/run_0. The HF validation split contains one config per model. | |
| ## Origin | |
| ## Load via `datasets` | |
| ```python | |
| from datasets import load_dataset | |
| # entire dataset | |
| ds = load_dataset("cua-lite/WebArena") | |
| # just one named subset (config) | |
| ds = load_dataset("cua-lite/WebArena", "Qwen3-VL-32B-Instruct") | |
| ``` | |
| You can also filter by `metadata.platform` / `metadata.task_type` / | |
| `metadata.others.*` after loading; every row carries a rich `metadata` | |
| struct (see schema below). | |
| ## Schema | |
| Each row has these columns: | |
| | column | type | notes | | |
| |---|---|---| | |
| | `images` | list[Image] | embedded PNG/JPEG bytes; HF viewer renders thumbnails | | |
| | `messages` | list[struct] | OpenAI-style turns with `role` + structured `content` | | |
| | `metadata` | struct | `{platform, task_type, extra_tool_schemas, valid_actions, others{...}}` | | |
| Coordinate values in `messages` are normalized to `[0, 1000]` integers. | |
| **Image-dedup (`grounding.*` / `understanding` cohorts).** These cohorts are | |
| single-image-per-row and many rows share the same screenshot, so to avoid | |
| re-embedding identical image bytes once per instruction they are stored | |
| *folded*: one row per unique screenshot (image embedded once), carrying an | |
| extra **`_folded`** column — a JSON string with the authoritative list of | |
| `{messages, metadata}` members for that screenshot. The row's top-level | |
| `messages` is the members concatenated for viewer convenience. `use` | |
| cohorts are not folded. **Use `lite.data.hf.download` to consume this repo** — | |
| it unfolds automatically back to one row per instruction; reading the parquet | |
| directly yields the folded form. | |
| ## Layout | |
| ``` | |
| <platform>/<task_type>/<split>/shard-NNNNN-of-NNNNN.parquet # single-variant cohort | |
| <platform>/<task_type>/<split>/<variant>/shard-NNNNN-of-NNNNN.parquet # multi-variant cohort | |
| ``` | |
| - `platform` ∈ {desktop, mobile, web} | |
| - `task_type` ∈ {understanding, grounding.action, grounding.point, grounding.bbox, use} — used verbatim as the dir component | |
| - HF config names are `<platform>.<task_type>` by default (e.g. `mobile.grounding.action`) — UNLESS the dataset was staged with `--config-names`, which sets verbatim, explicitly-chosen config names (see the `configs:` block above for the authoritative list). The agent registry lookup key in code is `<agent>@<platform>@<task_type>` (e.g. `qwen3_vl@mobile@grounding.action`); only this user-facing token uses `.` between platform and task_type, because `@` triggers a 403 on the dataset-viewer's signed image URLs. | |
| - HF split names stay `train` / `validation` (the `datasets` library blacklists `<>:/\|?*` in split names; everything else is fine in config_name) | |
| - `validation` is an in-distribution held-out slice (never used in training); `test` is reserved for out-of-distribution benchmark datasets | |
| ## Stats | |
| | platform | task_type | variant | train | validation | | |
| |---|---|---|---:|---:| | |
| | web | use | Qwen3-VL-32B-Instruct | 0 | 812 | | |
| | web | use | Qwen3.5-27B | 0 | 812 | | |
| | web | use | Qwen3.5-9B | 0 | 812 | | |
| | web | use | gpt-5.5 | 0 | 792 | | |
| ## Local mirror & SFT export | |
| For local workflows (SFT export, dedup, mixing across datasets), use | |
| `lite.data.hf.download` to mirror this repo back to the canonical local | |
| layout: | |
| ``` | |
| $CUA_LITE_DATASETS_ROOT/cua-lite/WebArena/ | |
| images/<hash[:2]>/<hash>.<ext> # content-addressed image store | |
| <platform>/<task_type>/<split>[/<variant>].parquet # rows reference images by relative path | |
| ``` | |
| Rows in the local parquet have `images: list[str]`; bytes are extracted to | |
| the image store. `lite.train.export.export_sft` consumes the local | |
| form directly with `--image-root=$CUA_LITE_DATASETS_ROOT`. | |
| - Total unique images: **33,676** | |
| - Image store size: **3.47 GB** | |
| ## Notes | |
| Staged via `lite.data.hf.stage` from rollout log-roots: /home/haoranliu/cua-lite-all-agents/.exps/eval/browsergym.webarena/2026-07-19T01-32_07f599ab7a/run_0/Qwen_Qwen3-VL-32B-Instruct, /home/haoranliu/cua-lite-all-agents/.exps/eval/browsergym.webarena/2026-07-19T01-32_07f599ab7a/run_0/Qwen_Qwen3.5-27B, /home/haoranliu/cua-lite-all-agents/.exps/eval/browsergym.webarena/2026-07-19T01-32_07f599ab7a/run_0/Qwen_Qwen3.5-9B, /home/haoranliu/cua-lite-all-agents/.exps/eval/browsergym.webarena/2026-07-19T01-32_07f599ab7a/run_0/gpt-5.5 (row filter: none). | |
| ## License & citation | |
| other | |