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Download evaluation/examples/INPUT_FORMAT.md from NoizAI/Helixbench: direct link, hf CLI and curl.
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https://huggingface.co/datasets/NoizAI/Helixbench/resolve/main/evaluation/examples/INPUT_FORMAT.md
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hf download hf://datasets/NoizAI/Helixbench/evaluation/examples/INPUT_FORMAT.md
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curl -L -o INPUT_FORMAT.md https://huggingface.co/datasets/NoizAI/Helixbench/resolve/main/evaluation/examples/INPUT_FORMAT.md
573 Bytes
| # Generated media manifest | |
| `helixbench prepare --generated` accepts JSONL with exactly the frozen 1,015 IDs. Each row gives an absolute MP4 path and its SHA256: | |
| ```json | |
| {"sample_id":"YB0006_Indoor_navigation_0en_ZwGyokU","path":"/absolute/generated/YB0006_Indoor_navigation_0en_ZwGyokU.mp4","sha256":"<64 hex digits>"} | |
| ``` | |
| The packaged reference features supply GT for KL/FAD. Optionally pass `--gt` with the same JSONL shape to recompute GT features from exact GT MP4s. The frozen `caption_av`, event/perspective subsets, and first-frame SHA are read from the package. | |