Point train split to compressed viewer manifest

README.md

@@ -1,5 +1,14 @@
 ---
 license: cc-by-nc-4.0
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: viewer/train_metadata.csv.gz
+  - split: test_seen
+    path: viewer/test_seen_metadata.csv
+  - split: test_unseen
+    path: viewer/test_unseen_metadata.csv
 ---
 # GestureHYDRA: Semantic Co-speech Gesture Synthesis via Hybrid Modality Diffusion Transformer and Cascaded-Synchronized Retrieval-Augmented Generation.ICCV 2025
 
@@ -12,7 +21,7 @@ license: cc-by-nc-4.0
 - The unseen test set contains 998 clips of data, where the anchor ID has never appeared in the training set.
 
 ## Dataset structure 
-The dataset contains three folders: *train*, *test_seen*, and *test_unseen*. Let's take *train* as an example for the introduction.
+The dataset contains three folders: *train*, *test_seen*, and *test_unseen*. Let's *train* train as an example for introduction.
 
 ```plaintext
 -train/
@@ -27,6 +36,10 @@ The dataset contains three folders: *train*, *test_seen*, and *test_unseen*. Let
 ```
 The audio data in the audios folder corresponds one-to-one with the human motion data in the gestures folder.
 
+For the Hugging Face Dataset Viewer, this repository also includes lightweight
+CSV manifests under `viewer/`. They index each clip in the zip archives so the
+viewer can render a table without scanning the full raw payload.
+
 
 Data contained in the pkl file:
 - width, height: the video width and height
@@ -43,4 +56,4 @@ Data contained in the pkl file:
 - right_hand_pose: (bs,15x3)
 - leye_pose: (bs,3)
 - reye_pose: (bs,3)
-- pose_embedding: (bs,32)
+- pose_embedding: (bs,32)