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Datasets:
HaoranLiu
/
LiteOS

Tasks:
Image-Text-to-Text
Modalities:
Image
Text
Formats:
parquet
Size:
10K - 100K
Tags:
cua-lite
gui
sft
Libraries:
Datasets
Dask
Polars
License:
Dataset card Data Studio Files
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1
LiteOS / README.md
Haoran Liu
Restore the 14 configs removed by an incremental upload
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metadata 
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 

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