Add README with dataset card

README.md

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+---
+license: cc-by-4.0
+task_categories:
+  - robotics
+tags:
+  - robotics
+  - imitation-learning
+  - bimanual-manipulation
+  - aloha-agilex
+  - lerobot
+pretty_name: RoboPro
+size_categories:
+  - 10K<n<100K
+---
+
+# RoboPro
+
+**RoboPro** is an 80-task bimanual manipulation dataset collected on a dual-arm **Aloha-Agilex** platform. It contains 15,999 expert teleoperation episodes (3.73 M frames at 50 Hz) recorded from three RGB cameras and synchronised 14-DoF joint commands. Each task includes a **clean** variant and ten **cluttered** variants (`d6`…`d15`) with progressively added distractor objects.
+
+The dataset is released in [LeRobot v2.1](https://github.com/huggingface/lerobot) format.
+
+## At a glance
+
+| | |
+|---|---|
+| Robot | Aloha-Agilex (dual-arm, 14-DoF) |
+| Episodes | 15,999 |
+| Frames | 3,728,445 |
+| FPS | 50 Hz |
+| Cameras | 3 × RGB 480×640 H.264 (cam_high, cam_left_wrist, cam_right_wrist) |
+| Tasks | 80 base × {clean, d6…d15} variants, 1,622 unique language prompts |
+| Format | LeRobot v2.1 (Parquet + MP4) |
+| License | CC-BY-4.0 |
+
+## Layout
+
+```
+lerobot/roboreal_all_80tasks/
+├── meta/
+│   ├── info.json           # schema, fps, episode count
+│   ├── tasks.jsonl         # 1,622 task language descriptions
+│   ├── episodes.jsonl      # per-episode metadata
+│   └── episodes_stats.jsonl
+├── data/
+│   └── chunk-{000..015}/
+│       └── episode_{000000..015998}.parquet   # 50 Hz proprioception
+└── videos/
+    └── chunk-{000..015}/
+        └── observation.images.{cam_high,cam_left_wrist,cam_right_wrist}/
+            └── episode_{000000..015998}.mp4    # H.264 yuv420p, GOP=2
+```
+
+Each Parquet row contains:
+- `observation.state` — `float32[14]` joint state
+- `action` — `float32[14]` target joint command
+- `timestamp`, `frame_index`, `episode_index`, `index`, `task_index`
+
+The 14-DoF channel order for both `observation.state` and `action` is:
+```
+left_waist, left_shoulder, left_elbow, left_forearm_roll,
+left_wrist_angle, left_wrist_rotate, left_gripper,
+right_waist, right_shoulder, right_elbow, right_forearm_roll,
+right_wrist_angle, right_wrist_rotate, right_gripper
+```
+
+## Loading
+
+```python
+from lerobot.common.datasets.lerobot_dataset import LeRobotDataset
+
+ds = LeRobotDataset(
+    repo_id="Hoshipu/RoboPro",
+    root="lerobot/roboreal_all_80tasks",   # subfolder within the repo
+)
+```
+
+Or stream individual files:
+
+```python
+from huggingface_hub import hf_hub_download
+import pyarrow.parquet as pq
+
+p = hf_hub_download(
+    "Hoshipu/RoboPro",
+    "lerobot/roboreal_all_80tasks/data/chunk-000/episode_000000.parquet",
+    repo_type="dataset",
+)
+table = pq.read_table(p)
+```
+
+## Croissant
+
+A validated [Croissant 1.0](https://mlcommons.org/croissant) metadata file is included at
+`croissant.json` and conforms to the MLCommons Croissant + RAI specification.
+
+## Citation
+
+```bibtex
+@dataset{roboPro2026,
+  title  = {RoboPro: 80-Task Bimanual Manipulation Demonstrations on Aloha-Agilex},
+  author = {Li, Zhiyuan},
+  year   = {2026},
+  url    = {https://huggingface.co/datasets/Hoshipu/RoboPro}
+}
+```
+
+## Limitations & ethical considerations
+
+- All demonstrations were recorded on a single Aloha-Agilex unit in a fixed laboratory environment; lighting, camera intrinsics, and table geometry do not vary across episodes.
+- Tasks are short-horizon (<10 s) tabletop manipulation — no long-horizon, navigation, or contact-rich (insertion, peg-in-hole) tasks.
+- Demonstrations reflect the kinematic preferences of a small operator pool; they are not guaranteed to be task-optimal.
+- No human faces, voices, biometric or other personal information is captured. Scenes consist of inanimate objects on a laboratory table.
+
+See `croissant.json` for the full RAI block.