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README.md

@@ -1,3 +1,98 @@
 ---
 license: cc-by-4.0
+pretty_name: T-Rex Dataset Visualizer
+task_categories:
+- robotics
+- video-classification
+language:
+- en
+tags:
+- robotics
+- tactile-sensing
+- dexterous-manipulation
+- bimanual-manipulation
+- teleoperation
+- video
+size_categories:
+- 1K<n<10K
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: metadata.csv
 ---
+
+# T-Rex Dataset Visualizer
+
+A browseable subset of the **T-Rex** dataset — *Tactile-Rich Bimanual Dexterous
+Manipulation* — collected on a bimanual **Dexmate Vega-1** robot equipped with
+two **Sharpa Wave** dexterous hands.
+
+This visualizer subset contains **3,838 short trajectory clips** drawn from the
+full 100-hour T-Rex collection, organized by `(verb, object, hand)` so you can
+quickly inspect coverage across motion primitives and object categories.
+
+> For the full dataset (multi-view RGB, robot states, joint actions, per-fingertip
+> tactile signals, and language instructions), see the main project release.
+
+## Schema
+
+| Column        | Type   | Description                                                     |
+|---------------|--------|-----------------------------------------------------------------|
+| `file_name`   | video  | Relative path to the `.mp4` clip (head camera view).            |
+| `id`          | string | Unique 5-digit clip identifier.                                 |
+| `verb`        | string | Canonical motion primitive (e.g. `reach`, `grasp_and_lifting`). |
+| `object`      | string | Canonical object category (e.g. `book`, `airpods`).             |
+| `hand`        | string | `left_hand` or `right_hand`.                                    |
+| `episode`     | string | Episode identifier the clip was sampled from.                   |
+| `verb_raw`    | string | Raw verb label before canonicalization.                         |
+| `object_raw`  | string | Raw object label before canonicalization.                       |
+
+## Coverage
+
+- **Total clips:** 3,838
+- **Motion primitives:** 22 (e.g. `grasp_and_lifting`, `reach`, `wrap`, `fold`,
+  `press`, `peel`, `wipe`, `squeeze`, `open`, `cut`, `close`, `shake`, `pour`,
+  `screw`, `insert`, `assemble`, …)
+- **Object categories:** 270+ daily objects (top: `airpods`, `bubble_wrap`,
+  `book`, `aluminum_foil`, `button`, `clamshell_container`, `flip_phone`,
+  `bowl`, `sponge`, `plastic_wrap`, …)
+- **Hands:** balanced left / right coverage
+
+A full breakdown is provided in [`manifest.json`](./manifest.json).
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("Beakerman0101/trex-visualizer", split="train")
+print(ds[0])
+# {'file_name': <Video>, 'id': '00001', 'verb': 'reach', 'object': 'book',
+#  'hand': 'left_hand', 'episode': 'episode_0000', ...}
+```
+
+You can also stream raw clips directly by URL:
+
+```
+https://huggingface.co/datasets/Beakerman0101/trex-visualizer/resolve/main/videos/<file_name>
+```
+
+## Filtering Examples
+
+```python
+# All "fold" demonstrations
+folds = ds.filter(lambda r: r["verb"] == "fold")
+
+# Left-hand "grasp_and_lifting" of a book
+subset = ds.filter(
+    lambda r: r["verb"] == "grasp_and_lifting"
+              and r["object"] == "book"
+              and r["hand"] == "left_hand"
+)
+```
+
+## License
+
+Released under **CC-BY-4.0**. Please cite the T-Rex project if you use this
+visualizer subset in published work.