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Datasets:
IntelligenceLab
/
Jev-GUI-Training-Preview

Tasks:
Image-Text-to-Text
Modalities:
Image
Tabular
Text
Formats:
parquet
Languages:
English
Size:
100K - 1M
Tags:
gui-agent
multimodal
decision-model
jev
qwen
Libraries:
Datasets
Dask
Polars
License:
Dataset card Data Studio Files
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Jev-GUI-Training-Preview / README.md
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metadata 
pretty_name: Jev GUI Training Preview
license: other
language:
  - en
task_categories:
  - image-text-to-text
tags:
  - gui-agent
  - multimodal
  - decision-model
  - jev
  - qwen
size_categories:
  - 100K<n<1M
configs:
  - config_name: preview
    data_files:
      - split: train
        path: preview/train.parquet
  - config_name: decisions
    data_files:
      - split: train
        path: decisions/train-*.parquet
  - config_name: images
    data_files:
      - split: train
        path: images/train-*.parquet

Jev GUI Training Preview

This public release contains the GUI-only weighted training mixture prepared for Jev-Vision:

  • 636,800 decision references
  • 132,647 unique images, stored once
  • Choice, yes/no (noul) and ordered-score decisions
  • Single-step, short-horizon, teacher-generated and UI-element tasks

The weighted sampler intentionally repeats some records. sample_index is unique, while id identifies the underlying decision and may repeat.

Configurations

preview

A small image gallery for the Hub dataset viewer. The complete normalized tables are in decisions and images.

decisions

One row per sampled training reference. image_ids contains ordered content hashes referring to rows in the images configuration. state_json and meta_json preserve structured fields as JSON strings for a stable Parquet schema.

images

One row per unique image. The id column is the content hash used by decisions.image_ids; image is a Hugging Face Image feature.

from datasets import load_dataset

decisions = load_dataset(
    "IntelligenceLab/Jev-GUI-Training-Preview",
    "decisions",
    split="train",
)
images = load_dataset(
    "IntelligenceLab/Jev-GUI-Training-Preview",
    "images",
    split="train",
)

Sample composition

Source Sampled rows
aguvis 180,087
aguvis_short_horizon 213,646
tasksource_vision 4,967
teacher_gui 126,723
teacher_stageb 51,390
waveui 59,987

The exact weighted mixture is in training_mix_gui_v1.json; build metadata is in manifest_meta.json and release_stats.json.

Important rights and privacy notice

This release has mixed and unresolved source-image rights and may include personal-looking text present in public GUI traces. Read LICENSES.md before use. license: other does not grant rights beyond each upstream source.

Provenance