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README.md

@@ -98,14 +98,12 @@ All repos live under [`MIT-Media-Lab`](https://huggingface.co/MIT-Media-Lab) and
 |---|---:|---:|---|---:|---|
 | **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) |
 | **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) |
-| **GigaHands** | 70,486 | 2,266,087 | episodes + text | 2.89 GB | [`gigahands-annotations-v1`](https://huggingface.co/datasets/MIT-Media-Lab/gigahands-annotations-v1) |
 | **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) |
 | **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) |
 | **OakInk2** | 28,264 | 1,371,721 | episodes + text | 1.92 GB | [`oakink2-annotations-v1`](https://huggingface.co/datasets/MIT-Media-Lab/oakink2-annotations-v1) |
 | **TACO** | 23,757 | 736,136 | episodes + text | 1.34 GB | [`taco-annotations-v1`](https://huggingface.co/datasets/MIT-Media-Lab/taco-annotations-v1) |
-| **DexYCB** | 14,735 | 497,865 | episodes + text | 0.70 GB | [`dexycb-annotations-v1`](https://huggingface.co/datasets/MIT-Media-Lab/dexycb-annotations-v1) |
 | **H2O** | 5,696 | 196,941 | episodes + text | 0.40 GB | [`h2o-annotations-v1`](https://huggingface.co/datasets/MIT-Media-Lab/h2o-annotations-v1) |
-| **total** | **523,424** | **15,657,869** | | **44.8 GB** | |
+| **total** | **438,203** | **12,893,917** | | **41.2 GB** | |
 
 **episodes** = entries in `episode_frame_index.npz`, i.e. what a training run actually sees.
 **training samples** = rows of `index_frame_pair`; the row number *is* the sample id.
@@ -122,12 +120,10 @@ instruction. That is why the published counts are below the totals we cut:
 |---|---:|---:|---:|
 | EPIC-KITCHENS-100 | 151,502 | 149,570 | 1,932 (1.3%) |
 | EgoTouch | 147,386 | 111,159 | 36,227 (24.6%) |
-| GigaHands | 92,365 | 70,486 | 21,879 (23.7%) |
 | Ego-Exo4D | 67,051 | 67,051 | 0 |
 | Something-Something V2 | 52,706 | 52,706 | 0 |
 | OakInk2 | 37,692 | 28,264 | 9,427 (25.0%) |
 | TACO | 26,454 | 23,757 | 2,697 (10.2%) |
-| DexYCB | 15,878 | 14,735 | 1,143 (7.2%) |
 | H2O | 7,792 | 5,696 | 2,096 (26.9%) |
 
 `ssv2` and `egoexo4d` are 0 because VITRA-1M already dropped `N/A` upstream — their episodes
@@ -135,6 +131,28 @@ are the official segmentation, so there was nothing left for us to drop. Their o
 slightly below VITRA-1M's published index (52,718 and 67,053) because round 2 marked a handful of
 sentences `unusable` and we deleted those episodes: **12** from `ssv2`, **2** from `egoexo4d`.
 
+
+### Every camera here is head-mounted
+
+Every dataset above is filmed from the actor's own head or chest. We checked this rather than
+trusting the labels — for each domain we reconstructed the camera centre from the per-frame
+extrinsics and measured how far it travels within a source video:
+
+| | camera displacement within a video (median / max, m) |
+|---|---|
+| EPIC-KITCHENS-100 | 0.275 / 1.559 |
+| OakInk2 | 0.081 / 0.271 |
+| ARCTIC | 0.044 / 0.212 |
+| H2O | 0.022 / 0.149 |
+| TACO | 0.017 / 0.041 |
+
+**DexYCB and GigaHands were removed from this collection on 2026-08-30** for failing that test:
+both are **static third-person rigs**, and their camera displacement is exactly `0.000000` m —
+not "small", but bit-for-bit zero, on every episode. DexYCB is 8 fixed RealSense cameras around
+a table (its own `camera.role` field says `allocentric`), and GigaHands is the BRICS studio ring.
+Neither ships a head-mounted view, so there was nothing to filter down to. Their hand poses and
+instructions are fine; the viewpoint distribution simply is not what these episodes are for.
+
 ### Not published yet
 
 | dataset | episodes cut | where it stands |