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Upload README.md with huggingface_hub

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@@ -103,9 +103,10 @@ All repos live under [`MIT-Media-Lab`](https://huggingface.co/MIT-Media-Lab) and
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  | **Something-Something V2** | 52,706 | 1,124,722 | text only | 4.63 GB | [`ssv2-annotations-v1`](https://huggingface.co/datasets/MIT-Media-Lab/ssv2-annotations-v1) |
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  | **OakInk2** | 28,264 | 1,371,721 | episodes + text | 1.92 GB | [`oakink2-annotations-v1`](https://huggingface.co/datasets/MIT-Media-Lab/oakink2-annotations-v1) |
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  | **TACO** | 23,757 | 736,136 | episodes + text | 1.34 GB | [`taco-annotations-v1`](https://huggingface.co/datasets/MIT-Media-Lab/taco-annotations-v1) |
 
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  | **ARCTIC** | 12,610 | 425,796 | episodes + text | 0.85 GB | [`arctic-annotations-v1`](https://huggingface.co/datasets/MIT-Media-Lab/arctic-annotations-v1) |
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  | **H2O** | 5,696 | 196,941 | episodes + text | 0.40 GB | [`h2o-annotations-v1`](https://huggingface.co/datasets/MIT-Media-Lab/h2o-annotations-v1) |
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- | **total** | **521,299** | **15,585,800** | | **44.9 GB** | |
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  **episodes** = entries in `episode_frame_index.npz`, i.e. what a training run actually sees.
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  **training samples** = rows of `index_frame_pair`; the row number *is* the sample id.
@@ -127,6 +128,7 @@ instruction. That is why the published counts are below the totals we cut:
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  | Something-Something V2 | 52,706 | 52,706 | 0 |
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  | OakInk2 | 37,692 | 28,264 | 9,427 (25.0%) |
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  | TACO | 26,454 | 23,757 | 2,697 (10.2%) |
 
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  | ARCTIC | 14,821 | 12,610 | 2,211 (14.9%) |
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  | H2O | 7,792 | 5,696 | 2,096 (26.9%) |
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@@ -148,5 +150,4 @@ head-mounted camera at all, so there was nothing to filter down to.
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  | dataset | episodes cut | where it stands |
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  |---|---:|---|
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  | HOI4D | — | source converted by a colleague; not re-cut |
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- | HOT3D | — | source converted by a colleague; not re-cut |
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  <!-- COLLECTION_TABLE_END -->
 
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  | **Something-Something V2** | 52,706 | 1,124,722 | text only | 4.63 GB | [`ssv2-annotations-v1`](https://huggingface.co/datasets/MIT-Media-Lab/ssv2-annotations-v1) |
104
  | **OakInk2** | 28,264 | 1,371,721 | episodes + text | 1.92 GB | [`oakink2-annotations-v1`](https://huggingface.co/datasets/MIT-Media-Lab/oakink2-annotations-v1) |
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  | **TACO** | 23,757 | 736,136 | episodes + text | 1.34 GB | [`taco-annotations-v1`](https://huggingface.co/datasets/MIT-Media-Lab/taco-annotations-v1) |
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+ | **HOT3D** | 18,590 | 780,678 | episodes + text | 1.72 GB | [`hot3d-annotations-v1`](https://huggingface.co/datasets/MIT-Media-Lab/hot3d-annotations-v1) |
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  | **ARCTIC** | 12,610 | 425,796 | episodes + text | 0.85 GB | [`arctic-annotations-v1`](https://huggingface.co/datasets/MIT-Media-Lab/arctic-annotations-v1) |
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  | **H2O** | 5,696 | 196,941 | episodes + text | 0.40 GB | [`h2o-annotations-v1`](https://huggingface.co/datasets/MIT-Media-Lab/h2o-annotations-v1) |
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+ | **total** | **539,889** | **16,366,478** | | **46.6 GB** | |
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  **episodes** = entries in `episode_frame_index.npz`, i.e. what a training run actually sees.
112
  **training samples** = rows of `index_frame_pair`; the row number *is* the sample id.
 
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  | Something-Something V2 | 52,706 | 52,706 | 0 |
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  | OakInk2 | 37,692 | 28,264 | 9,427 (25.0%) |
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  | TACO | 26,454 | 23,757 | 2,697 (10.2%) |
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+ | HOT3D | 22,578 | 18,590 | 3,988 (17.7%) |
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  | ARCTIC | 14,821 | 12,610 | 2,211 (14.9%) |
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  | H2O | 7,792 | 5,696 | 2,096 (26.9%) |
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  | dataset | episodes cut | where it stands |
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  |---|---:|---|
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  | HOI4D | — | source converted by a colleague; not re-cut |
 
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  <!-- COLLECTION_TABLE_END -->