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Upload GUIOdyssey batch 1

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  1. README.md +18 -18
  2. mobile/understanding/train/shard-00000-of-00616.parquet +2 -2
  3. mobile/understanding/train/shard-00001-of-00616.parquet +2 -2
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README.md CHANGED
@@ -19,18 +19,6 @@ configs:
19
  - "*/*/validation*parquet"
20
  - "*/*/validation/*.parquet"
21
  - "*/*/validation/*/*.parquet"
22
- - config_name: mobile.navigation
23
- data_files:
24
- - split: train
25
- path:
26
- - "mobile/navigation/train*parquet"
27
- - "mobile/navigation/train/*.parquet"
28
- - "mobile/navigation/train/*/*.parquet"
29
- - split: validation
30
- path:
31
- - "mobile/navigation/validation*parquet"
32
- - "mobile/navigation/validation/*.parquet"
33
- - "mobile/navigation/validation/*/*.parquet"
34
  - config_name: mobile.understanding
35
  data_files:
36
  - split: train
@@ -43,6 +31,18 @@ configs:
43
  - "mobile/understanding/validation*parquet"
44
  - "mobile/understanding/validation/*.parquet"
45
  - "mobile/understanding/validation/*/*.parquet"
 
 
 
 
 
 
 
 
 
 
 
 
46
  ---
47
 
48
  # cua-lite/GUIOdyssey
@@ -62,7 +62,7 @@ from datasets import load_dataset
62
  ds = load_dataset("cua-lite/GUIOdyssey")
63
 
64
  # just one (platform, task_type) cohort
65
- ds = load_dataset("cua-lite/GUIOdyssey", "mobile.navigation")
66
  ```
67
 
68
  You can also filter by `metadata.platform` / `metadata.task_type` /
@@ -77,7 +77,7 @@ Each row has these columns:
77
  |---|---|---|
78
  | `images` | list[Image] | embedded PNG/JPEG bytes; HF viewer renders thumbnails |
79
  | `messages` | list[struct] | OpenAI-style turns with `role` + structured `content` |
80
- | `metadata` | struct | `{platform, task_type, extra_tools, valid_actions, others{...}}` |
81
 
82
  Coordinate values in `messages` are normalized to `[0, 1000]` integers.
83
 
@@ -87,7 +87,7 @@ re-embedding identical image bytes once per instruction they are stored
87
  *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. `navigation`
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.
@@ -100,7 +100,7 @@ directly yields the folded form.
100
  ```
101
 
102
  - `platform` ∈ {desktop, mobile, web}
103
- - `task_type` ∈ {understanding, grounding.action, grounding.point, grounding.bbox, navigation} — used verbatim as the dir component
104
  - 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.
105
  - HF split names stay `train` / `validation` (the `datasets` library blacklists `<>:/\|?*` in split names; everything else is fine in config_name)
106
  - `validation` is an in-distribution held-out slice (never used in training); `test` is reserved for out-of-distribution benchmark datasets
@@ -109,8 +109,8 @@ directly yields the folded form.
109
 
110
  | platform | task_type | variant | train | validation |
111
  |---|---|---|---:|---:|
112
- | mobile | navigation | navigation | 8,146 | 184 |
113
  | mobile | understanding | understanding | 125,893 | 2,000 |
 
114
 
115
  ## Local mirror & SFT export
116
 
@@ -125,7 +125,7 @@ $CUA_LITE_DATASETS_ROOT/cua-lite/GUIOdyssey/
125
  ```
126
 
127
  Rows in the local parquet have `images: list[str]`; bytes are extracted to
128
- the image store. `lite.train.utils.data.export_sft` consumes the local
129
  form directly with `--image-root=$CUA_LITE_DATASETS_ROOT`.
130
 
131
  - Total unique images: **125,131**
 
19
  - "*/*/validation*parquet"
20
  - "*/*/validation/*.parquet"
21
  - "*/*/validation/*/*.parquet"
 
 
 
 
 
 
 
 
 
 
 
 
22
  - config_name: mobile.understanding
23
  data_files:
24
  - split: train
 
31
  - "mobile/understanding/validation*parquet"
32
  - "mobile/understanding/validation/*.parquet"
33
  - "mobile/understanding/validation/*/*.parquet"
34
+ - config_name: mobile.use
35
+ data_files:
36
+ - split: train
37
+ path:
38
+ - "mobile/use/train*parquet"
39
+ - "mobile/use/train/*.parquet"
40
+ - "mobile/use/train/*/*.parquet"
41
+ - split: validation
42
+ path:
43
+ - "mobile/use/validation*parquet"
44
+ - "mobile/use/validation/*.parquet"
45
+ - "mobile/use/validation/*/*.parquet"
46
  ---
47
 
48
  # cua-lite/GUIOdyssey
 
62
  ds = load_dataset("cua-lite/GUIOdyssey")
63
 
64
  # just one (platform, task_type) cohort
65
+ ds = load_dataset("cua-lite/GUIOdyssey", "mobile.understanding")
66
  ```
67
 
68
  You can also filter by `metadata.platform` / `metadata.task_type` /
 
77
  |---|---|---|
78
  | `images` | list[Image] | embedded PNG/JPEG bytes; HF viewer renders thumbnails |
79
  | `messages` | list[struct] | OpenAI-style turns with `role` + structured `content` |
80
+ | `metadata` | struct | `{platform, task_type, extra_tool_schemas, valid_actions, others{...}}` |
81
 
82
  Coordinate values in `messages` are normalized to `[0, 1000]` integers.
83
 
 
87
  *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
  ```
101
 
102
  - `platform` ∈ {desktop, mobile, web}
103
+ - `task_type` ∈ {understanding, grounding.action, grounding.point, grounding.bbox, use} — used verbatim as the dir component
104
  - 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.
105
  - HF split names stay `train` / `validation` (the `datasets` library blacklists `<>:/\|?*` in split names; everything else is fine in config_name)
106
  - `validation` is an in-distribution held-out slice (never used in training); `test` is reserved for out-of-distribution benchmark datasets
 
109
 
110
  | platform | task_type | variant | train | validation |
111
  |---|---|---|---:|---:|
 
112
  | mobile | understanding | understanding | 125,893 | 2,000 |
113
+ | mobile | use | use | 8,146 | 184 |
114
 
115
  ## Local mirror & SFT export
116
 
 
125
  ```
126
 
127
  Rows in the local parquet have `images: list[str]`; bytes are extracted to
128
+ the image store. `lite.train.export.export_sft` consumes the local
129
  form directly with `--image-root=$CUA_LITE_DATASETS_ROOT`.
130
 
131
  - Total unique images: **125,131**
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