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| 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](https://huggingface.co/datasets/mlfoundations/Click-100k), with 6,690 distinct screenshots. | |
| It is the training dataset for [SelectGround-8B](https://huggingface.co/ruotian/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: | |
| ~~~bash | |
| 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](https://github.com/zhangruotian/SelectGround). | |
| 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. | |