Hugging Face's logo

Datasets:
MIT-Media-Lab
/
hot3d-annotations-v1

Tasks:
Robotics
Image-to-3D
Modalities:
Text
Formats:
text
Languages:
English
Size:
10K - 100K
Tags:
vitra
mano
hand-object-interaction
egocentric
Libraries:
Datasets
License:
Dataset card Data Studio Files
xet
 Community
1
yuzhench commited on
Commit
f4fa44e
·
verified ·
1 Parent(s): 93df795

Upload README.md with huggingface_hub

Browse files
Files changed (1) hide show
  1. README.md +3 -1
README.md CHANGED
@@ -154,9 +154,10 @@ All repos live under [`MIT-Media-Lab`](https://huggingface.co/MIT-Media-Lab) and
154
  | **OakInk2** | 28,264 | 1,371,721 | episodes + text | 1.92 GB | [`oakink2-annotations-v1`](https://huggingface.co/datasets/MIT-Media-Lab/oakink2-annotations-v1) |
155
  | **TACO** | 23,757 | 736,136 | episodes + text | 1.34 GB | [`taco-annotations-v1`](https://huggingface.co/datasets/MIT-Media-Lab/taco-annotations-v1) |
156
  | **HOT3D** | 18,590 | 780,678 | episodes + text | 1.72 GB | [`hot3d-annotations-v1`](https://huggingface.co/datasets/MIT-Media-Lab/hot3d-annotations-v1) |
 
157
  | **ARCTIC** | 12,610 | 425,796 | episodes + text | 0.85 GB | [`arctic-annotations-v1`](https://huggingface.co/datasets/MIT-Media-Lab/arctic-annotations-v1) |
158
  | **H2O** | 5,696 | 196,941 | episodes + text | 0.40 GB | [`h2o-annotations-v1`](https://huggingface.co/datasets/MIT-Media-Lab/h2o-annotations-v1) |
159
- | **total** | **539,889** | **16,366,478** | | **46.6 GB** | |
160
 
161
  **episodes** = entries in `episode_frame_index.npz`, i.e. what a training run actually sees.
162
  **training samples** = rows of `index_frame_pair`; the row number *is* the sample id.
@@ -179,6 +180,7 @@ instruction. That is why the published counts are below the totals we cut:
179
  | OakInk2 | 37,692 | 28,264 | 9,427 (25.0%) |
180
  | TACO | 26,454 | 23,757 | 2,697 (10.2%) |
181
  | HOT3D | 22,578 | 18,590 | 3,988 (17.7%) |
 
182
  | ARCTIC | 14,821 | 12,610 | 2,211 (14.9%) |
183
  | H2O | 7,792 | 5,696 | 2,096 (26.9%) |
184
 
 
154
  | **OakInk2** | 28,264 | 1,371,721 | episodes + text | 1.92 GB | [`oakink2-annotations-v1`](https://huggingface.co/datasets/MIT-Media-Lab/oakink2-annotations-v1) |
155
  | **TACO** | 23,757 | 736,136 | episodes + text | 1.34 GB | [`taco-annotations-v1`](https://huggingface.co/datasets/MIT-Media-Lab/taco-annotations-v1) |
156
  | **HOT3D** | 18,590 | 780,678 | episodes + text | 1.72 GB | [`hot3d-annotations-v1`](https://huggingface.co/datasets/MIT-Media-Lab/hot3d-annotations-v1) |
157
+ | **Tachin** | 2,422 | 97,638 | episodes + text + **tactile** | 4.13 GB | [`tachin-annotations-v1`](https://huggingface.co/datasets/MIT-Media-Lab/tachin-annotations-v1) |
158
  | **ARCTIC** | 12,610 | 425,796 | episodes + text | 0.85 GB | [`arctic-annotations-v1`](https://huggingface.co/datasets/MIT-Media-Lab/arctic-annotations-v1) |
159
  | **H2O** | 5,696 | 196,941 | episodes + text | 0.40 GB | [`h2o-annotations-v1`](https://huggingface.co/datasets/MIT-Media-Lab/h2o-annotations-v1) |
160
+ | **total** | **542,311** | **16,464,116** | | **50.7 GB** | |
161
 
162
  **episodes** = entries in `episode_frame_index.npz`, i.e. what a training run actually sees.
163
  **training samples** = rows of `index_frame_pair`; the row number *is* the sample id.
 
180
  | OakInk2 | 37,692 | 28,264 | 9,427 (25.0%) |
181
  | TACO | 26,454 | 23,757 | 2,697 (10.2%) |
182
  | HOT3D | 22,578 | 18,590 | 3,988 (17.7%) |
183
+ | Tachin | 3,019 | 2,422 | 597 (19.8%) |
184
  | ARCTIC | 14,821 | 12,610 | 2,211 (14.9%) |
185
  | H2O | 7,792 | 5,696 | 2,096 (26.9%) |
186