Datasets:
Upload GUIOdyssey batch 1
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- README.md +18 -18
- mobile/understanding/train/shard-00000-of-00616.parquet +2 -2
- mobile/understanding/train/shard-00001-of-00616.parquet +2 -2
- mobile/understanding/train/shard-00002-of-00616.parquet +2 -2
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README.md
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- "*/*/validation*parquet"
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- "*/*/validation/*.parquet"
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- "*/*/validation/*/*.parquet"
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- config_name: mobile.navigation
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data_files:
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- split: train
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path:
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- "mobile/navigation/train*parquet"
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- "mobile/navigation/train/*.parquet"
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- "mobile/navigation/train/*/*.parquet"
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- split: validation
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path:
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- "mobile/navigation/validation*parquet"
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- "mobile/navigation/validation/*.parquet"
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- "mobile/navigation/validation/*/*.parquet"
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- config_name: mobile.understanding
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data_files:
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- split: train
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- "mobile/understanding/validation*parquet"
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- "mobile/understanding/validation/*.parquet"
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- "mobile/understanding/validation/*/*.parquet"
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---
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# cua-lite/GUIOdyssey
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ds = load_dataset("cua-lite/GUIOdyssey")
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# just one (platform, task_type) cohort
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ds = load_dataset("cua-lite/GUIOdyssey", "mobile.
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```
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You can also filter by `metadata.platform` / `metadata.task_type` /
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|---|---|---|
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| `images` | list[Image] | embedded PNG/JPEG bytes; HF viewer renders thumbnails |
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| `messages` | list[struct] | OpenAI-style turns with `role` + structured `content` |
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| `metadata` | struct | `{platform, task_type,
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Coordinate values in `messages` are normalized to `[0, 1000]` integers.
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*folded*: one row per unique screenshot (image embedded once), carrying an
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extra **`_folded`** column — a JSON string with the authoritative list of
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`{messages, metadata}` members for that screenshot. The row's top-level
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`messages` is the members concatenated for viewer convenience. `
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cohorts are not folded. **Use `lite.data.hf.download` to consume this repo** —
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it unfolds automatically back to one row per instruction; reading the parquet
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directly yields the folded form.
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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,
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- HF config names are `<platform>.<task_type>` (e.g. `mobile.grounding.action`). 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.
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- HF split names stay `train` / `validation` (the `datasets` library blacklists `<>:/\|?*` in split names; everything else is fine in config_name)
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- `validation` is an in-distribution held-out slice (never used in training); `test` is reserved for out-of-distribution benchmark datasets
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| platform | task_type | variant | train | validation |
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|---|---|---|---:|---:|
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| mobile | navigation | navigation | 8,146 | 184 |
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| mobile | understanding | understanding | 125,893 | 2,000 |
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## Local mirror & SFT export
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```
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Rows in the local parquet have `images: list[str]`; bytes are extracted to
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the image store. `lite.train.
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form directly with `--image-root=$CUA_LITE_DATASETS_ROOT`.
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- Total unique images: **125,131**
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- "*/*/validation*parquet"
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- "*/*/validation/*.parquet"
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- "*/*/validation/*/*.parquet"
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- config_name: mobile.understanding
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data_files:
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- split: train
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- "mobile/understanding/validation*parquet"
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- "mobile/understanding/validation/*.parquet"
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- "mobile/understanding/validation/*/*.parquet"
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- config_name: mobile.use
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data_files:
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- split: train
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path:
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- "mobile/use/train*parquet"
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- "mobile/use/train/*.parquet"
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- "mobile/use/train/*/*.parquet"
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- split: validation
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path:
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- "mobile/use/validation*parquet"
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- "mobile/use/validation/*.parquet"
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- "mobile/use/validation/*/*.parquet"
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---
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# cua-lite/GUIOdyssey
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ds = load_dataset("cua-lite/GUIOdyssey")
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# just one (platform, task_type) cohort
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ds = load_dataset("cua-lite/GUIOdyssey", "mobile.understanding")
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```
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You can also filter by `metadata.platform` / `metadata.task_type` /
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|---|---|---|
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| `images` | list[Image] | embedded PNG/JPEG bytes; HF viewer renders thumbnails |
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| `messages` | list[struct] | OpenAI-style turns with `role` + structured `content` |
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+
| `metadata` | struct | `{platform, task_type, extra_tool_schemas, valid_actions, others{...}}` |
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Coordinate values in `messages` are normalized to `[0, 1000]` integers.
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|
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|
|
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*folded*: one row per unique screenshot (image embedded once), carrying an
|
| 88 |
extra **`_folded`** column — a JSON string with the authoritative list of
|
| 89 |
`{messages, metadata}` members for that screenshot. The row's top-level
|
| 90 |
+
`messages` is the members concatenated for viewer convenience. `use`
|
| 91 |
cohorts are not folded. **Use `lite.data.hf.download` to consume this repo** —
|
| 92 |
it unfolds automatically back to one row per instruction; reading the parquet
|
| 93 |
directly yields the folded form.
|
|
|
|
| 100 |
```
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- `platform` ∈ {desktop, mobile, web}
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+
- `task_type` ∈ {understanding, grounding.action, grounding.point, grounding.bbox, use} — used verbatim as the dir component
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- HF config names are `<platform>.<task_type>` (e.g. `mobile.grounding.action`). 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.
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- HF split names stay `train` / `validation` (the `datasets` library blacklists `<>:/\|?*` in split names; everything else is fine in config_name)
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- `validation` is an in-distribution held-out slice (never used in training); `test` is reserved for out-of-distribution benchmark datasets
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| platform | task_type | variant | train | validation |
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|---|---|---|---:|---:|
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| mobile | understanding | understanding | 125,893 | 2,000 |
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+
| mobile | use | use | 8,146 | 184 |
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## Local mirror & SFT export
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```
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Rows in the local parquet have `images: list[str]`; bytes are extracted to
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+
the image store. `lite.train.export.export_sft` consumes the local
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form directly with `--image-root=$CUA_LITE_DATASETS_ROOT`.
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- Total unique images: **125,131**
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