Datasets:
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README.md
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@@ -113,12 +113,13 @@ All repos live under [`MIT-Media-Lab`](https://huggingface.co/MIT-Media-Lab) and
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| **EPIC-KITCHENS-100** | 149,570 | 4,019,534 | episodes + text | 8.70 GB | [`epic30-annotations-v1`](https://huggingface.co/datasets/MIT-Media-Lab/epic30-annotations-v1) |
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| **EgoTouch** | 111,159 | 3,687,389 | episodes + text + **tactile** | 20.12 GB | [`egotouch-annotations-v1`](https://huggingface.co/datasets/MIT-Media-Lab/egotouch-annotations-v1) |
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| **Ego-Exo4D** | 67,051 | 1,757,474 | text only | 4.09 GB | [`egoexo4d-annotations-v1`](https://huggingface.co/datasets/MIT-Media-Lab/egoexo4d-annotations-v1) |
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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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| **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** | **
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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.
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| EPIC-KITCHENS-100 | 151,502 | 149,570 | 1,932 (1.3%) |
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| EgoTouch | 147,386 | 111,159 | 36,227 (24.6%) |
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| Ego-Exo4D | 67,051 | 67,051 | 0 |
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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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@@ -147,11 +149,10 @@ slightly below VITRA-1M's published index (52,718 and 67,053) because round 2 ma
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sentences `unusable` and we deleted those episodes: **12** from `ssv2`, **2** from `egoexo4d`.
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###
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extrinsics and measured how far it travels within a source video:
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| | camera displacement within a video (median / max, m) |
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| ARCTIC | 0.044 / 0.212 |
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| H2O | 0.022 / 0.149 |
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| TACO | 0.017 / 0.041 |
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### Not published yet
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| **EPIC-KITCHENS-100** | 149,570 | 4,019,534 | episodes + text | 8.70 GB | [`epic30-annotations-v1`](https://huggingface.co/datasets/MIT-Media-Lab/epic30-annotations-v1) |
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| **EgoTouch** | 111,159 | 3,687,389 | episodes + text + **tactile** | 20.12 GB | [`egotouch-annotations-v1`](https://huggingface.co/datasets/MIT-Media-Lab/egotouch-annotations-v1) |
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| **GigaHands** | 70,486 | 2,266,087 | episodes + text | 2.89 GB | [`gigahands-annotations-v1`](https://huggingface.co/datasets/MIT-Media-Lab/gigahands-annotations-v1) |
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| **Ego-Exo4D** | 67,051 | 1,757,474 | text only | 4.09 GB | [`egoexo4d-annotations-v1`](https://huggingface.co/datasets/MIT-Media-Lab/egoexo4d-annotations-v1) |
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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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| **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** | **508,689** | **15,160,004** | | **44.1 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.
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|---|---:|---:|---:|
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| EPIC-KITCHENS-100 | 151,502 | 149,570 | 1,932 (1.3%) |
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| EgoTouch | 147,386 | 111,159 | 36,227 (24.6%) |
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| GigaHands | 92,365 | 70,486 | 21,879 (23.7%) |
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| Ego-Exo4D | 67,051 | 67,051 | 0 |
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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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sentences `unusable` and we deleted those episodes: **12** from `ssv2`, **2** from `egoexo4d`.
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### A note on viewpoint
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For each domain we reconstructed the camera centre from the per-frame extrinsics and measured
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how far it travels within a source video, rather than trusting the labels:
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| | camera displacement within a video (median / max, m) |
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|---|---|
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| ARCTIC | 0.044 / 0.212 |
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| H2O | 0.022 / 0.149 |
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| TACO | 0.017 / 0.041 |
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| GigaHands | **0.000000 / 0.000000** — static rig |
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Those five are head- or chest-mounted. **GigaHands is not**: it is the BRICS studio ring, a fixed
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third-person camera array, and its reconstructed camera centre is bit-for-bit `0.000000` m on
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every episode. Its hand poses and instructions are fine — only the viewpoint differs — so it is
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kept here and labelled rather than dropped.
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**DexYCB was removed from this collection on 2026-08-30.** It is 8 fixed RealSense cameras around
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a table; its own `camera.role` field reads `allocentric` on all 15,878 episodes and the camera
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displacement is exactly zero. Unlike OakInk2, which ships an egocentric view alongside three
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allocentric ones, DexYCB has no head-mounted camera at all, so there was nothing to filter down to.
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### Not published yet
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