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Download README.md from taryya/RunningBench-Annotation-Packs: direct link, hf CLI and curl.
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https://huggingface.co/datasets/taryya/RunningBench-Annotation-Packs/resolve/main/README.md
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hf download hf://datasets/taryya/RunningBench-Annotation-Packs/README.md
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curl -L -H "Authorization: Bearer $HF_TOKEN" -o README.md https://huggingface.co/datasets/taryya/RunningBench-Annotation-Packs/resolve/main/README.md
1.61 kB
| pretty_name: RunningBench Annotation Packs | |
| language: | |
| - en | |
| - zh | |
| tags: | |
| - video | |
| - annotation | |
| - benchmark | |
| - egocentric-video | |
| # RunningBench Annotation Packs | |
| This repository contains ten self-contained offline packages for human verification of 698 RunningBench multiple-choice video questions. | |
| ## What is included | |
| - 698 question-specific 480p MP4 clips, split across ten archives. | |
| - Parts 01–09 contain 70 questions each; part 10 contains 68 questions. | |
| - Every archive contains: | |
| - `index.html` — offline annotation interface. | |
| - `clips/*.mp4` — one video clip per question. | |
| - `manifest.json` — question metadata without reference answers. | |
| - `README.md` — package-level instructions. | |
| - `index.json` records archive sizes and SHA-256 checksums. | |
| Reference answers are intentionally excluded from the distributed packages. | |
| ## Annotation workflow | |
| 1. Download one `runningbench_clips_partXX.tar.gz` archive. | |
| 2. Extract the archive completely. Do not open `index.html` from inside an archive viewer. | |
| 3. Open `index.html` in Chrome or Edge. | |
| 4. Enter the annotator name and review every question. | |
| 5. Click **导出 JSON / Export**. | |
| 6. Return the generated `runningbench_partXX_annotation_<annotator>_<date>.json` file. | |
| Progress is saved automatically in the browser. Each package uses a separate progress key, so multiple parts can be annotated on the same computer. | |
| ## Integrity | |
| Use the SHA-256 values in `index.json` to verify downloaded archives before distribution. | |
| ## Source dataset | |
| The broader RunningBench project is available at https://huggingface.co/datasets/taryya/RunningBench. | |