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README.md

@@ -97,8 +97,9 @@ All repos live under [`MIT-Media-Lab`](https://huggingface.co/MIT-Media-Lab) and
 | **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) |
+| **ARCTIC** | 12,610 | 425,796 | episodes + text | 0.85 GB | [`arctic-annotations-v1`](https://huggingface.co/datasets/MIT-Media-Lab/arctic-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** | **508,689** | **15,160,004** | | **44.1 GB** | |
+| **total** | **521,299** | **15,585,800** | | **44.9 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.
@@ -120,6 +121,7 @@ instruction. That is why the published counts are below the totals we cut:
 | 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%) |
+| ARCTIC | 14,821 | 12,610 | 2,211 (14.9%) |
 | H2O | 7,792 | 5,696 | 2,096 (26.9%) |
 
 `ssv2` and `egoexo4d` are 0 because VITRA-1M already dropped `N/A` upstream — their episodes
@@ -139,7 +141,6 @@ head-mounted camera at all, so there was nothing to filter down to.
 
 | dataset | episodes cut | where it stands |
 |---|---:|---|
-| ARCTIC | 14,826 | cut only — no rendering, captions or index yet |
 | HOI4D | — | source converted by a colleague; not re-cut |
 | HOT3D | — | source converted by a colleague; not re-cut |
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