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cua-verse/Aguvis

cua-lite preprocessed version of Aguvis (xlangai/aguvis-stage1 + aguvis-stage2) merged into one repo. Stage-1 contributes grounding:action sub-datasets (OmniAct, RICO, UI-RefExp, GUIEnv, SeeClick, WebUI); stage-2 contributes trajectory data (AITW, Android-Control, CoAT, GUIDE, MiniWoB). Both stages share the unified cua-lite SFT schema; the original stage boundary is preserved in metadata.others.

Origin

Schema

Each row has these columns:

column type notes
image_ids list[string] content-addressed ids (<sha256>.<ext>), used for cross-parquet dedup
images list[Image] bytes embedded at HF push time; matches image_ids index-for-index
messages list[struct] OpenAI-style turns with role + structured content
metadata struct {platform, task_type, split, others{...}}

Coordinate values in messages are normalized to [0, 1000] integers.

Layout

<platform>/<task_type>/<split>/<variant>.parquet
  • platform ∈ {desktop, mobile, web}
  • task_type ∈ {understanding, grounding:action, grounding:point, grounding:bbox, trajectory}
  • split ∈ {train, eval} — eval is an in-distribution held-out slice (not used in training)

Stats

platform task_type variant train eval
desktop grounding:action omniact 5,392 99
mobile grounding:action ricoig16k 15,774 359
mobile grounding:action ricosca 171,212 2,000
mobile grounding:action ui_refexp 15,268 356
mobile grounding:action widget_cap 99,485 1,940
mobile trajectory aitw 1,698 30
mobile trajectory android_control 12,318 263
mobile trajectory coat 1,306 23
mobile trajectory guide 595 12
web grounding:action guienv 325,972 2,000
web grounding:action seeclick 269,121 2,000
web grounding:action seeclick_mi 269,119 2,000
web grounding:action webui 56,302 1,087
web trajectory miniwob 1,775 31

Image store

Images are content-addressed by SHA-256 and deduplicated within this repo. The mapping image_id → bytes is embedded in every parquet via datasets.Image. The reverse.py script in cua-lite/cua-lite reconstructs a local image_store/ + reference-only parquets, letting you re-dedup across datasets on your own machine.

  • Total images: 516,962
  • Store size: 209.74 GB

Notes

Sub-datasets (variants) may have heterogeneous source licenses. See metadata.others.source for provenance. Many Aguvis sub-datasets overlap with standalone cua-lite datasets (Mind2Web, AMEX, etc.); deduplicate before mixing for training.

License & Citation

See original datasets (xlangai/aguvis-stage1 and aguvis-stage2)

See https://aguvis-project.github.io/

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