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docs: add README with archive format, download and extract instructions

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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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+
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+ # R3-Bench Research Data
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+
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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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+
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+ ## What's inside
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+
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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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+
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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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+
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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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+
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+ ## Download and extract
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+
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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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+
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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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+
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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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+
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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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+
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+ After extraction you should see the original R3-Bench working tree layout:
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+
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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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+
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+ ## Why the Dataset Viewer shows an error
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+
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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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+ ```
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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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+
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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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+
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+ ## Related code
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+
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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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+
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+ ## License
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+
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+ Released under **CC-BY-4.0**. You are free to share and adapt, provided you give appropriate credit.