Upload README.md with huggingface_hub

README.md

@@ -1,148 +1,141 @@
 ---
-license: cc-by-4.0
+license: apache-2.0
 task_categories:
 - robotics
 tags:
-- robotics
-- manipulation
-- libero
-- vision-language-action
-- multi-task
-- converted
-- lerobot
-pretty_name: LIBERO Converted
-size_categories:
-- 100K<n<1M
+- LeRobot
+configs:
+- config_name: default
+  data_files: data/*/*.parquet
 ---
 
-# LIBERO Dataset for LeRobot
-
-This is the [LIBERO dataset](https://huggingface.co/datasets/physical-intelligence/libero), **preprocessed by the HuggingFace VLA team to fit the LeRobot framework**.  
-
-The dataset is structured for easy use in VLA (Vision-Language-Action) LeRobot training pipelines, so you can easily train and evaluate models without extra preprocessing.
+This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
 
 ## Dataset Description
 
-LIBERO (Language-Integrated Benchmark for Evaluating Robot Manipulation) is a comprehensive benchmark for robot manipulation tasks with natural language instructions. This dataset combines four individual Libero datasets: **Libero-Spatial**, **Libero-Object**, **Libero-Goal** and **Libero-10**. All datasets were taken from the original sources and converted into LeRobot format.
-
-- **Homepage**: https://libero-project.github.io
-- **Paper**: https://arxiv.org/abs/2306.03310
-- **License**: CC-BY 4.0
 
-This converted version maintains all original functionality while providing standardized feature naming conventions.
 
-### Details
-
-- **Episodes**: 1,693 manipulation episodes
-- **Tasks**: 40 unique manipulation tasks
-- **Robot**: Franka Panda 7-DOF arm
-- **Cameras**: Dual camera setup (main view + wrist camera)
-- **Resolution**: 256×256 RGB images
-- **Action Space**: 7-dimensional (6 joint velocities + gripper)
-- **FPS**: 10 Hz
+- **Homepage:** [More Information Needed]
+- **Paper:** [More Information Needed]
+- **License:** apache-2.0
 
 ## Dataset Structure
 
-### Features
-
-| Feature | Type | Shape | Description |
-|---------|------|-------|-------------|
-| `observation.images.image` | Image | (256, 256, 3) | Main camera RGB view |
-| `observation.images.image2` | Image | (256, 256, 3) | Wrist camera RGB view |
-| `observation.state` | Tensor | (8,) | Joint positions + gripper state |
-| `action` | Tensor | (7,) | Target joint velocities + gripper action |
-| `timestamp` | Float | () | Episode timestamp |
-| `frame_index` | Int | () | Frame index within episode |
-| `episode_index` | Int | () | Episode identifier |
-| `index` | Int | () | Global frame index |
-| `task_index` | Int | () | Task identifier (0-39) |
-
-### Task Categories
-
-The dataset includes 40 diverse manipulation tasks across multiple categories:
-- **Pick and Place**: Object manipulation and placement
-- **Drawer Operations**: Opening and closing drawers
-- **Door Operations**: Handle manipulation and door opening/closing
-- **Assembly Tasks**: Multi-object coordination and assembly
-- **Tool Use**: Utilizing tools for manipulation tasks
-
-## Usage
-
-### Loading the Dataset
-
-```python
-from lerobot.datasets.lerobot_dataset import LeRobotDataset
-
-# Load the converted dataset
-dataset = LeRobotDataset("HuggingFaceVLA/libero")
-
-# Access a sample
-sample = dataset[0]
-main_image = sample["observation.images.image"]
-wrist_image = sample["observation.images.image2"] 
-robot_state = sample["observation.state"]
-action = sample["action"]
+[meta/info.json](meta/info.json):
+```json
+{
+    "codebase_version": "v3.0",
+    "robot_type": "panda",
+    "total_episodes": 1693,
+    "total_frames": 273465,
+    "total_tasks": 40,
+    "chunks_size": 1000,
+    "fps": 10.0,
+    "splits": {
+        "train": "0:1693"
+    },
+    "data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
+    "video_path": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4",
+    "features": {
+        "observation.images.image": {
+            "dtype": "image",
+            "shape": [
+                256,
+                256,
+                3
+            ],
+            "names": [
+                "height",
+                "width",
+                "channel"
+            ],
+            "fps": 10.0
+        },
+        "observation.images.image2": {
+            "dtype": "image",
+            "shape": [
+                256,
+                256,
+                3
+            ],
+            "names": [
+                "height",
+                "width",
+                "channel"
+            ],
+            "fps": 10.0
+        },
+        "observation.state": {
+            "dtype": "float32",
+            "shape": [
+                8
+            ],
+            "names": [
+                "state"
+            ],
+            "fps": 10.0
+        },
+        "action": {
+            "dtype": "float32",
+            "shape": [
+                7
+            ],
+            "names": [
+                "actions"
+            ],
+            "fps": 10.0
+        },
+        "timestamp": {
+            "dtype": "float32",
+            "shape": [
+                1
+            ],
+            "names": null,
+            "fps": 10.0
+        },
+        "frame_index": {
+            "dtype": "int64",
+            "shape": [
+                1
+            ],
+            "names": null,
+            "fps": 10.0
+        },
+        "episode_index": {
+            "dtype": "int64",
+            "shape": [
+                1
+            ],
+            "names": null,
+            "fps": 10.0
+        },
+        "index": {
+            "dtype": "int64",
+            "shape": [
+                1
+            ],
+            "names": null,
+            "fps": 10.0
+        },
+        "task_index": {
+            "dtype": "int64",
+            "shape": [
+                1
+            ],
+            "names": null,
+            "fps": 10.0
+        }
+    },
+    "data_files_size_in_mb": 100,
+    "video_files_size_in_mb": 500
+}
 ```
 
-## Conversion Details
-
-This dataset was converted from the original LIBERO v2.0 format to LeRobot v2.1 format with the following improvements:
-
-1. **Standardized Feature Names**: Renamed keys to follow LeRobot conventions
-2. **Added Episode Statistics**: Generated `episodes_stats.jsonl` for efficient loading
-3. **Updated Metadata**: Compatible with latest LeRobot framework
-4. **Structured Image Keys**: Organized image features under `observation.images.*`
-5. **Preserved All Data**: No data loss during conversion
-
-### Original to Converted Key Mapping
-
-| Original Key | Converted Key |
-|--------------|---------------|
-| `image` | `observation.images.image` |
-| `wrist_image` | `observation.images.image2` |
-| `state` | `observation.state` |
-| `actions` | `action` |
-
-## Dataset Statistics
-
-- **Total Episodes**: 1,693
-- **Total Frames**: 273,465
-- **Average Episode Length**: 161.6 frames
-- **Dataset Size**: ~35GB
-- **Format**: LeRobot v2.1
 
 ## Citation
 
-If you use this dataset, please cite the original LIBERO paper:
+**BibTeX:**
 
 ```bibtex
-@article{liu2023libero,
-  title={LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning},
-  author={Liu, Bo and Zeng, Yifeng and Patil, Arjun and Mu, Xingyu and Xu, Qingqing and Liu, Ying and Wu, Stone and Liu, Yurong and Tenenbaum, Joshua B and others},
-  journal={arXiv preprint arXiv:2306.03310},
-  year={2023}
-}
-```
-
-## License
-
-This dataset is released under the CC-BY 4.0 License, following the original LIBERO dataset licensing.
-
-## Original Dataset
-
-- **Original Source**: [physical-intelligence/libero](https://huggingface.co/datasets/physical-intelligence/libero)
-- **Paper**: [LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning](https://arxiv.org/abs/2306.03310)
-- **Homepage**: [https://libero-project.github.io](https://libero-project.github.io)
-
-## Conversion Process
-
-This dataset was converted using the LeRobot conversion pipeline:
-
-1. Downloaded original dataset from HuggingFace Hub
-2. Applied LeRobot v2.0 to v2.1 conversion
-3. Renamed features to standard conventions
-4. Generated episode statistics
-5. Validated data integrity
-6. Uploaded with proper metadata
-
-For questions about the conversion or issues with the dataset, please open an issue on the [LeRobot repository](https://github.com/huggingface/lerobot).
+[More Information Needed]
+```