Datasets:
language:
- en
license: other
size_categories:
- 1K<n<10K
task_categories:
- image-to-text
pretty_name: ClickContrast
license_name: upstream-source-terms
license_link: https://huggingface.co/datasets/mlfoundations/Click-100k
tags:
- gui-grounding
- computer-use
- contrastive-learning
configs:
- config_name: default
data_files:
- split: all_pairs
path: data/all_pairs.jsonl
- split: all_replay
path: data/all_replay.jsonl
ClickContrast
ClickContrast contains 4,292 target–distractor pairs and 4,292 coverage examples from Click-100k, with 6,690 distinct screenshots. It is the training dataset for SelectGround-8B.
| File | Rows | Supervision |
|---|---|---|
| all_pairs | 4,292 | Target coordinate, target region, distractor region, candidate regions |
| all_replay | 4,292 | Target coordinate |
Training uses all_pairs and all_replay with a 1:1 pair-to-coverage sampling cycle.
Pairs retain teacher-supported targets together with a model prediction on another parsed element outside a centered 2x target neighborhood. A focused subset covers teacher-checked small controls and icons. Coverage examples span 86 Click100k source categories.
Format
Download the entire repository to retain the relative screenshot paths:
hf download ruotian/ClickContrast --repo-type dataset --revision paper --local-dir data/clickcontrast
Each row contains:
- id: stable example identifier.
- image: screenshot path relative to this repository.
- image_width, image_height, image_sha256: original dimensions and file checksum.
- instruction: original grounding instruction.
- response: target center as [x,y], with integer coordinates normalized to 0–1000.
- source: upstream dataset, split, and row index.
Paired rows additionally contain target_bbox, distractor_bbox, and candidate_bboxes, all in original-image pixels with [left,top,right,bottom] order. The JSONL order is part of the frozen training recipe. The manifest records file hashes and counts.
Training
Use the SFT-plus-selection-loss recipe in the SelectGround code repository. All examples contribute coordinate loss. Only paired examples contribute selection loss. No external parser or teacher is needed to train from this release.
Source terms
Screenshots are a subset of Click-100k and retain their upstream provenance. They are not relicensed as project code. Use is subject to the applicable terms of Click-100k and its constituent sources. The repository's code license does not replace those data terms.