| # EventActivityNet v1.0 Release Notes |
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| ## Release Status |
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| EventActivityNet v1.0 has completed technical validation and is suitable for public release as documented HDF5 files and scale manifests. |
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| ## Highlights |
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| - 3,263 validated HDF5 files. |
| - Approximately 4.36 TB total size. |
| - 5-bin event voxel representation. |
| - 200 verified action classes. |
| - Large train/validation split: 2,316 / 947. |
| - Three nested scales: Large, Medium, Small. |
| - Final production integrity audit: PASS. |
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| ## Scale Summary |
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| | Scale | Videos | Hours | Train | Validation | Classes | Event-friendly | |
| |---|---:|---:|---:|---:|---:|---:| |
| | Large | 3,263 | 106.94 | 2,316 | 947 | 200 | 65.31% | |
| | Medium | 1,537 | 50.00 | 1,074 | 463 | 200 | 64.80% | |
| | Small | 667 | 20.00 | 473 | 194 | 200 | 64.62% | |
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| Small is a strict subset of Medium, and Medium is a strict subset of Large. |
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| ## Integrity |
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| The final read-only production audit confirmed: |
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| - exactly 3,263 production HDF5 files; |
| - all files open successfully; |
| - zero truncated or unreadable files; |
| - zero structural warnings; |
| - every file contains `events`, `voxel_event_start`, and `voxel_event_count`; |
| - all files use `num_bins=5`; |
| - no temporary files remain in the production dataset. |
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| Exact reproducibility values: |
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| - total size: 4,355,745,895,245 bytes; |
| - Large duration: 106.941600381 hours; |
| - Medium duration: 50.000000128 hours; |
| - Small duration: 20.000000374 hours. |
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| ## Caveats |
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| - EventActivityNet v1.0 covers 200 verified action classes. Do not claim 203 classes for this release. |
| - The historical/paper Large duration of 107.3 hours is approximate relative to recovered release metadata. The verified Large duration is 106.94 hours. |
| - Medium and Small are newly generated deterministic nested v1.0 release scales, not historical original subsets. |
| - Durations in the release manifests use `src_fmt_dur` from verification metadata. |
| - Original subset generation merged train and validation before sampling. Train/validation assignments remain recoverable from ActivityNet Captions split membership. |
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| ## Recommended Hugging Face Packaging |
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| Preserve per-video HDF5 identity in manifests. For payload upload, tar shards around 20 GB are recommended to balance repository object count, resumability, and user access. |
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| Estimated shard counts from the publication audit: |
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| - 10 GB target: about 435 shards. |
| - 20 GB target: about 218 shards. |
| - 50 GB target: about 87 shards. |
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