Add README and .gitattributes
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- README.md +41 -0
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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*.json filter=lfs diff=lfs merge=lfs -text
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README.md
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# RefCOCO JSON Files
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This repository contains both original and filtered RefCOCO, RefCOCO+, and RefCOCOg JSON files.
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## Contents
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### Original Files
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- refcoco_train.json
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- refcoco_val.json
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- refcoco_testA.json
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- refcoco_testB.json
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- refcocop_train.json
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- refcocop_val.json
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- refcocop_testA.json
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- refcocop_testB.json
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- refcocog_train.json
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- refcocog_val.json
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- refcocog_test.json
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- flickr_single_bbox_train.json
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- flickr_single_bbox_val.json
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- flickr_single_bbox_test.json
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- refgta_subsample.json
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### Filtered Files (Long Captions)
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- filtered/refcoco_train_long_captions.json
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- filtered/refcocop_train_long_captions.json
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- filtered/refcocog_train_long_captions.json
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## Usage
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The filtered JSON files contain a subset of the original data with longer, more descriptive captions. These are particularly useful for training models that benefit from richer linguistic descriptions.
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### Download and Setup
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You can use the `prepare_data.sh` script from the VLM-R1 repository to download and set up these files:
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```bash
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bash prepare_data.sh
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```
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This will download both the original and filtered JSON files and set up the appropriate YAML configuration files.
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