LiteOS / README.md
Haoran Liu
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---
license: other
tags:
- cua-lite
- gui
- sft
task_categories:
- image-text-to-text
configs:
- config_name: default
data_files:
- split: train
path:
- "*/*/train*parquet"
- "*/*/train/*.parquet"
- "*/*/train/*/*.parquet"
- split: validation
path:
- "*/*/validation*parquet"
- "*/*/validation/*.parquet"
- "*/*/validation/*/*.parquet"
- config_name: EvoCUA-8B-20260105
data_files:
- split: train
path:
- "*/*/train/EvoCUA-8B-20260105.parquet"
- "*/*/train/EvoCUA-8B-20260105/*.parquet"
- split: validation
path:
- "*/*/validation/EvoCUA-8B-20260105.parquet"
- "*/*/validation/EvoCUA-8B-20260105/*.parquet"
- config_name: Qwen3-VL-2B-Instruct
data_files:
- split: train
path:
- "*/*/train/Qwen3-VL-2B-Instruct.parquet"
- "*/*/train/Qwen3-VL-2B-Instruct/*.parquet"
- split: validation
path:
- "*/*/validation/Qwen3-VL-2B-Instruct.parquet"
- "*/*/validation/Qwen3-VL-2B-Instruct/*.parquet"
- config_name: Qwen3-VL-32B-Instruct
data_files:
- split: train
path:
- "*/*/train/Qwen3-VL-32B-Instruct.parquet"
- "*/*/train/Qwen3-VL-32B-Instruct/*.parquet"
- split: validation
path:
- "*/*/validation/Qwen3-VL-32B-Instruct.parquet"
- "*/*/validation/Qwen3-VL-32B-Instruct/*.parquet"
- config_name: Qwen3-VL-4B-Instruct
data_files:
- split: train
path:
- "*/*/train/Qwen3-VL-4B-Instruct.parquet"
- "*/*/train/Qwen3-VL-4B-Instruct/*.parquet"
- split: validation
path:
- "*/*/validation/Qwen3-VL-4B-Instruct.parquet"
- "*/*/validation/Qwen3-VL-4B-Instruct/*.parquet"
- config_name: Qwen3-VL-8B-Instruct
data_files:
- split: train
path:
- "*/*/train/Qwen3-VL-8B-Instruct.parquet"
- "*/*/train/Qwen3-VL-8B-Instruct/*.parquet"
- split: validation
path:
- "*/*/validation/Qwen3-VL-8B-Instruct.parquet"
- "*/*/validation/Qwen3-VL-8B-Instruct/*.parquet"
- config_name: Qwen3.5-27B
data_files:
- split: train
path:
- "*/*/train/Qwen3.5-27B.parquet"
- "*/*/train/Qwen3.5-27B/*.parquet"
- split: validation
path:
- "*/*/validation/Qwen3.5-27B.parquet"
- "*/*/validation/Qwen3.5-27B/*.parquet"
- config_name: Qwen3.5-2B
data_files:
- split: train
path:
- "*/*/train/Qwen3.5-2B.parquet"
- "*/*/train/Qwen3.5-2B/*.parquet"
- split: validation
path:
- "*/*/validation/Qwen3.5-2B.parquet"
- "*/*/validation/Qwen3.5-2B/*.parquet"
- config_name: Qwen3.5-4B
data_files:
- split: train
path:
- "*/*/train/Qwen3.5-4B.parquet"
- "*/*/train/Qwen3.5-4B/*.parquet"
- split: validation
path:
- "*/*/validation/Qwen3.5-4B.parquet"
- "*/*/validation/Qwen3.5-4B/*.parquet"
- config_name: Qwen3.5-9B
data_files:
- split: train
path:
- "*/*/train/Qwen3.5-9B.parquet"
- "*/*/train/Qwen3.5-9B/*.parquet"
- split: validation
path:
- "*/*/validation/Qwen3.5-9B.parquet"
- "*/*/validation/Qwen3.5-9B/*.parquet"
- config_name: Qwen3.8-27B
data_files:
- split: train
path:
- "*/*/train/Qwen3.8-27B.parquet"
- "*/*/train/Qwen3.8-27B/*.parquet"
- split: validation
path:
- "*/*/validation/Qwen3.8-27B.parquet"
- "*/*/validation/Qwen3.8-27B/*.parquet"
- config_name: ScaleCUA-7B
data_files:
- split: train
path:
- "*/*/train/ScaleCUA-7B.parquet"
- "*/*/train/ScaleCUA-7B/*.parquet"
- config_name: UI-TARS-1.5-7B
data_files:
- split: train
path:
- "*/*/train/UI-TARS-1.5-7B.parquet"
- "*/*/train/UI-TARS-1.5-7B/*.parquet"
- split: validation
path:
- "*/*/validation/UI-TARS-1.5-7B.parquet"
- "*/*/validation/UI-TARS-1.5-7B/*.parquet"
- config_name: UI-TARS-7B-DPO
data_files:
- split: train
path:
- "*/*/train/UI-TARS-7B-DPO.parquet"
- "*/*/train/UI-TARS-7B-DPO/*.parquet"
- split: validation
path:
- "*/*/validation/UI-TARS-7B-DPO.parquet"
- "*/*/validation/UI-TARS-7B-DPO/*.parquet"
- config_name: gpt-5.4
data_files:
- split: train
path:
- "*/*/train/gpt-5.4.parquet"
- "*/*/train/gpt-5.4/*.parquet"
- split: validation
path:
- "*/*/validation/gpt-5.4.parquet"
- "*/*/validation/gpt-5.4/*.parquet"
- config_name: gpt-5.5
data_files:
- split: train
path:
- "*/*/train/gpt-5.5.parquet"
- "*/*/train/gpt-5.5/*.parquet"
- split: validation
path:
- "*/*/validation/gpt-5.5.parquet"
- "*/*/validation/gpt-5.5/*.parquet"
- config_name: gpt-5.6-sol
data_files:
- split: validation
path:
- "*/*/validation/gpt-5.6-sol.parquet"
- "*/*/validation/gpt-5.6-sol/*.parquet"
- config_name: gpt-6-astra
data_files:
- split: validation
path:
- "*/*/validation/gpt-6-astra.parquet"
- "*/*/validation/gpt-6-astra/*.parquet"
---
# cua-lite/LiteOS
LiteOS desktop-use agent rollout dataset. Train split is preserved from HaoranLiu/LiteOS; validation split is staged from .logs/rollout/lite.osworld_eval_g3 with model folder names matching train split configs.
## Origin
## Load via `datasets`
```python
from datasets import load_dataset
# entire dataset
ds = load_dataset("cua-lite/LiteOS")
# just one named subset (config)
ds = load_dataset("cua-lite/LiteOS", "EvoCUA-8B-20260105")
```
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 |
|---|---|---|---:|---:|
| desktop | use | EvoCUA-8B-20260105 | 1,703 | 996 |
| desktop | use | Qwen3-VL-2B-Instruct | 1,697 | 996 |
| desktop | use | Qwen3-VL-32B-Instruct | 1,702 | 996 |
| desktop | use | Qwen3-VL-4B-Instruct | 1,703 | 996 |
| desktop | use | Qwen3-VL-8B-Instruct | 1,704 | 996 |
| desktop | use | Qwen3.5-27B | 5,112 | 996 |
| desktop | use | Qwen3.5-2B | 1,701 | 995 |
| desktop | use | Qwen3.5-4B | 1,704 | 995 |
| desktop | use | Qwen3.5-9B | 1,704 | 996 |
| desktop | use | Qwen3.8-27B | 5,046 | 994 |
| desktop | use | ScaleCUA-7B | 1,676 | 0 |
| desktop | use | UI-TARS-1.5-7B | 1,704 | 996 |
| desktop | use | UI-TARS-7B-DPO | 1,704 | 993 |
| desktop | use | gpt-5.4 | 1,704 | 996 |
| desktop | use | gpt-5.5 | 1,702 | 996 |
| desktop | use | gpt-5.6-sol | 0 | 994 |
| desktop | use | gpt-6-astra | 0 | 993 |
## 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:
```
$CUA_LITE_DATASETS_ROOT/cua-lite/LiteOS/
images/<hash[:2]>/<hash>.<ext> # content-addressed image store
<platform>/<task_type>/<split>[/<variant>].parquet # rows reference images by relative path
```
Rows in the local parquet have `images: list[str]`; bytes are extracted to
the image store. `lite.train.export.export_sft` consumes the local
form directly with `--image-root=$CUA_LITE_DATASETS_ROOT`.
- Total unique images: **632,354**
- Image store size: **285.91 GB**
## Notes
Staged via `lite.data.hf.stage` from rollout log-roots: .logs/rollout/lite.osworld_eval_g3/Qwen3-VL-2B-Instruct, .logs/rollout/lite.osworld_eval_g3/Qwen3-VL-32B-Instruct, .logs/rollout/lite.osworld_eval_g3/Qwen3-VL-4B-Instruct, .logs/rollout/lite.osworld_eval_g3/Qwen3-VL-8B-Instruct, .logs/rollout/lite.osworld_eval_g3/Qwen3.5-27B, .logs/rollout/lite.osworld_eval_g3/Qwen3.5-2B, .logs/rollout/lite.osworld_eval_g3/Qwen3.5-4B, .logs/rollout/lite.osworld_eval_g3/Qwen3.5-9B, .logs/rollout/lite.osworld_eval_g3/Qwen3.8-27B, .logs/rollout/lite.osworld_eval_g3/UI-TARS-1.5-7B, .logs/rollout/lite.osworld_eval_g3/UI-TARS-7B-DPO, .logs/rollout/lite.osworld_eval_g3/evocua_8b, .logs/rollout/lite.osworld_eval_g3/gpt-5.4, .logs/rollout/lite.osworld_eval_g3/gpt-5.5 (row filter: none).
## License & citation
other