docs: add README with archive format, download and extract instructions
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README.md
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---
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license: cc-by-4.0
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pretty_name: R3-Bench Research Data
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size_categories:
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- n>1T
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tags:
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- benchmark
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- vision-language
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- video-understanding
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- evaluation
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---
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# R3-Bench Research Data
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> **⚠️ This is not a HuggingFace `datasets` library dataset.**
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> This repo is a raw archive of project directories from R3-Bench research,
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> packaged as gzip'd tar files. Use the download + extraction instructions
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> below — do **not** use `datasets.load_dataset()` on this repo.
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## What's inside
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Large binary outputs from the R3-Bench evaluation framework research — roughly **323 GB** across multiple tarballs. Each file corresponds one-to-one to a directory in the original working tree:
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| File | Source directory | Size | Shards |
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|---|---|---|---|
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| `alive.tar.gz` | `alive/` | 10.7 kB | 1 |
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| `backup_bin.tar.gz.part_{aa..ae}` | `backup_bin/` | ~193 GB | 5 |
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| `compare_methods_OmniVerifier_data.tar.gz` | `compare_methods/OmniVerifier/` | 2.09 GB | 1 |
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| `compare_methods_Step1X-Edit.tar.gz` | `compare_methods/Step1X-Edit/` | 6.23 GB | 1 |
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| `compare_methods_Step1X-Editv2.tar.gz` | `compare_methods/Step1X-Editv2/` | 129 MB | 1 |
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| `elo_human_eval.tar.gz` | `elo_human_eval/` | 146 MB | 1 |
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| `eval.tar.gz` | `eval/` | 3.02 GB | 1 |
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| `exps.tar.gz.part_{aa..ac}` | `exps/` | ~103 GB | 3 |
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| `images.tar.gz` | `images/` | 725 MB | 1 |
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| `iterative_ablation_output.tar.gz` | `iterative_ablation_output/` | 1.94 GB | 1 |
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| `logs.tar.gz` | `logs/` | 121 kB | 1 |
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| `output.tar.gz` | `output/` | 6.58 GB | 1 |
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| `paper_case.tar.gz` | `paper_case/` | 5.62 GB | 1 |
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Files larger than the HuggingFace single-file LFS limit were split into ~50 GB shards with `split -b 45G`.
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## Download and extract
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```bash
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# 1. Install the HF client
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pip install -U huggingface_hub
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# 2. Download everything to a local directory
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huggingface-cli download xiaomoguhzz/R3-Bench-data \
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--repo-type dataset \
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--local-dir R3-Bench-data/
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cd R3-Bench-data/
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# 3. Merge split shards back into monolithic tarballs
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cat backup_bin.tar.gz.part_* > backup_bin.tar.gz
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cat exps.tar.gz.part_* > exps.tar.gz
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rm backup_bin.tar.gz.part_* exps.tar.gz.part_*
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# 4. Extract every archive
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for f in *.tar.gz; do
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echo "extracting $f ..."
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tar xzf "$f"
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done
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```
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After extraction you should see the original R3-Bench working tree layout:
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```
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alive/ backup_bin/ compare_methods/ elo_human_eval/ eval/
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exps/ images/ iterative_ablation_output/ logs/
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output/ paper_case/
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```
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## Why the Dataset Viewer shows an error
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The HuggingFace Dataset Viewer auto-detects tar archives and tries to parse them as [WebDataset format](https://huggingface.co/docs/hub/datasets-webdataset). This repo is a raw tarball dump (not WebDataset), so the viewer reports:
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```
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SplitsNotFoundError: The TAR archives of the dataset should be in WebDataset
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format, but the files in the archive don't share the same prefix or the same types.
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```
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**This is expected** and does not affect downloads — the error only concerns the preview panel, not the files themselves.
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## Related code
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The research code that produced and consumes this data lives in separate GitHub repositories. Both are currently private; please reach out to the repo owner for access if you need it.
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## License
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Released under **CC-BY-4.0**. You are free to share and adapt, provided you give appropriate credit.
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