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

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