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README.md

@@ -104,9 +104,10 @@ All repos live under [`MIT-Media-Lab`](https://huggingface.co/MIT-Media-Lab) and
 | **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) |
 | **HOT3D** | 18,590 | 780,678 | episodes + text | 1.72 GB | [`hot3d-annotations-v1`](https://huggingface.co/datasets/MIT-Media-Lab/hot3d-annotations-v1) |
+| **Tachin** | 2,422 | 97,638 | episodes + text + **tactile** | 4.13 GB | [`tachin-annotations-v1`](https://huggingface.co/datasets/MIT-Media-Lab/tachin-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** | **539,889** | **16,366,478** | | **46.6 GB** | |
+| **total** | **542,311** | **16,464,116** | | **50.7 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.
@@ -129,6 +130,7 @@ instruction. That is why the published counts are below the totals we cut:
 | OakInk2 | 37,692 | 28,264 | 9,427 (25.0%) |
 | TACO | 26,454 | 23,757 | 2,697 (10.2%) |
 | HOT3D | 22,578 | 18,590 | 3,988 (17.7%) |
+| Tachin | 3,019 | 2,422 | 597 (19.8%) |
 | ARCTIC | 14,821 | 12,610 | 2,211 (14.9%) |
 | H2O | 7,792 | 5,696 | 2,096 (26.9%) |