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1g0rrr/sam_openpi_solder1/meta/episodes.jsonl

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1g0rrr/sam_openpi_solder1/meta/info.json

@@ -0,0 +1,129 @@
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1g0rrr/sam_openpi_solder1/meta/tasks.jsonl

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1g0rrr/sam_openpi_solder2/meta/episodes.jsonl

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1g0rrr/sam_openpi_solder2/meta/info.json

@@ -0,0 +1,129 @@
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1g0rrr/sam_openpi_solder2/meta/tasks.jsonl

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1g0rrr/sam_openpi_wire10/meta/episodes.jsonl

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1g0rrr/sam_openpi_wire10/meta/episodes_stats.jsonl

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1g0rrr/sam_openpi_wire10/meta/info.json

@@ -0,0 +1,129 @@
+{
+  "codebase_version": "v2.1",
+  "robot_type": "so100",
+  "total_episodes": 9,
+  "total_frames": 2691,
+  "total_tasks": 1,
+  "total_videos": 18,
+  "total_chunks": 1,
+  "chunks_size": 1000,
+  "fps": 30,
+  "splits": {
+    "train": "0:9"
+  },
+  "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
+  "video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4",
+  "features": {
+    "action": {
+      "dtype": "float32",
+      "shape": [
+        7
+      ],
+      "names": [
+        "main_shoulder_pan",
+        "main_shoulder_lift",
+        "main_elbow_flex",
+        "main_wrist_flex",
+        "main_wrist_side",
+        "main_wrist_roll",
+        "main_gripper"
+      ]
+    },
+    "observation.state": {
+      "dtype": "float32",
+      "shape": [
+        7
+      ],
+      "names": [
+        "main_shoulder_pan",
+        "main_shoulder_lift",
+        "main_elbow_flex",
+        "main_wrist_flex",
+        "main_wrist_side",
+        "main_wrist_roll",
+        "main_gripper"
+      ]
+    },
+    "observation.image": {
+      "dtype": "video",
+      "shape": [
+        480,
+        640,
+        3
+      ],
+      "names": [
+        "height",
+        "width",
+        "channels"
+      ],
+      "info": {
+        "video.fps": 30.0,
+        "video.height": 480,
+        "video.width": 640,
+        "video.channels": 3,
+        "video.codec": "av1",
+        "video.pix_fmt": "yuv420p",
+        "video.is_depth_map": false,
+        "has_audio": false
+      }
+    },
+    "observation.image2": {
+      "dtype": "video",
+      "shape": [
+        480,
+        640,
+        3
+      ],
+      "names": [
+        "height",
+        "width",
+        "channels"
+      ],
+      "info": {
+        "video.fps": 30.0,
+        "video.height": 480,
+        "video.width": 640,
+        "video.channels": 3,
+        "video.codec": "av1",
+        "video.pix_fmt": "yuv420p",
+        "video.is_depth_map": false,
+        "has_audio": false
+      }
+    },
+    "timestamp": {
+      "dtype": "float32",
+      "shape": [
+        1
+      ],
+      "names": null
+    },
+    "frame_index": {
+      "dtype": "int64",
+      "shape": [
+        1
+      ],
+      "names": null
+    },
+    "episode_index": {
+      "dtype": "int64",
+      "shape": [
+        1
+      ],
+      "names": null
+    },
+    "index": {
+      "dtype": "int64",
+      "shape": [
+        1
+      ],
+      "names": null
+    },
+    "task_index": {
+      "dtype": "int64",
+      "shape": [
+        1
+      ],
+      "names": null
+    }
+  }
+}

1g0rrr/sam_openpi_wire10/meta/tasks.jsonl

@@ -0,0 +1 @@
+{"task_index": 0, "task": "bring contact to the pad on the board."}

README.md

@@ -0,0 +1,210 @@
+---
+license: apache-2.0
+task_categories:
+- robotics
+- computer-vision
+- reinforcement-learning
+tags:
+- robotics
+- community
+- so100
+- manipulation
+- multi-user
+- collection
+- smolvla
+- lerobot
+- vision-language-action
+size_categories:
+- 100K<n<1M
+language:
+- en
+pretty_name: "LeRobot Community Dataset v2"
+viewer: false
+---
+
+# LeRobot Community Dataset v2
+
+A large-scale collection of robotic manipulation datasets contributed by the LeRobot community. This dataset represents the second major release of community-contributed robotics data, featuring high-quality episodic demonstrations across diverse manipulation tasks.
+
+## 🤖 Overview
+
+This dataset is a curated collection of robotics demonstrations from multiple contributors, primarily focused on manipulation tasks using SO-100 robotic arms. The data was collected and processed using the [LeRobot](https://github.com/huggingface/lerobot) framework, ensuring consistency and compatibility across all datasets.
+
+**Key Features:**
+- **Multi-contributor**: Data from 59 different contributors
+- **Diverse tasks**: Wide variety of manipulation scenarios and objects
+- **Standardized format**: All data in LeRobot v2.0/v2.1 format
+- **Quality filtered**: Automated processing and validation pipeline
+- **Ready for training**: Compatible with [SmolVLA](https://huggingface.co/blog/smolvla) and other VLA models
+
+## 📊 Dataset Statistics
+
+| Metric | Value |
+|--------|-------|
+| Total Datasets | 170 |
+| Total Episodes | N/A |
+| Total Frames | N/A |
+| Contributors | 59 |
+| Robot Types | SO-100 (various colors) |
+| Data Format | LeRobot v2.0 and v2.1 dataset format |
+| Total Size | ~5032.889999999998 GB |
+| Success Rate | 87% (170/196 from input list) |
+
+## 🏗️ Dataset Structure
+
+The dataset maintains the original contributor-based organization:
+
+```
+community_dataset_v2/
+├── user1/
+│   ├── dataset1/
+│   │   ├── data/
+│   │   ├── meta/
+│   │   └── videos/
+│   └── dataset2/
+│       ├── data/
+│       ├── meta/
+│       └── videos/
+├── user2/
+│   └── dataset3/
+└── ...
+```
+
+Each individual dataset follows the standard LeRobot format with:
+- `data/`: Contains the episode data (observations, actions, rewards)
+- `meta/`: Metadata files including episode information
+- `videos/`: MP4 video files for visual observations
+
+## 🔧 Prerequisites
+
+Before using this dataset, install LeRobot and authenticate with Hugging Face:
+
+### Install LeRobot
+```bash
+# Install conda if not available
+# conda install -c conda-forge ffmpeg  # Required for video processing
+
+# Install LeRobot from source
+git clone https://github.com/huggingface/lerobot.git
+cd lerobot
+pip install -e .
+```
+
+### Authenticate with Hugging Face
+```bash
+huggingface-cli login
+```
+
+## 📥 Usage
+
+### Download the Dataset
+
+```python
+from huggingface_hub import snapshot_download
+
+# Download the entire dataset (requires authentication)
+local_dir = snapshot_download(
+    repo_id="HuggingFaceVLA/community_dataset_v2",
+    repo_type="dataset",
+    local_dir="./community_dataset_v2"
+)
+```
+
+### Load Individual Datasets
+
+```python
+from lerobot.datasets.lerobot_dataset import LeRobotDataset
+import os
+
+# List all available datasets
+dataset_root = "./community_dataset_v2"
+for user_name in os.listdir(dataset_root):
+    user_path = os.path.join(dataset_root, user_name)
+    if os.path.isdir(user_path):
+        for dataset_name in os.listdir(user_path):
+            dataset_path = os.path.join(user_path, dataset_name)
+            if os.path.isdir(dataset_path):
+                print(f"{user_name}/{dataset_name}")
+
+# Load a specific dataset
+dataset = LeRobotDataset("./community_dataset_v2/user_name/dataset_name")
+
+# Access episodes
+for episode_idx in range(len(dataset.episode_indices)):
+    episode = dataset[episode_idx]
+    # Process episode data...
+```
+
+### Integration with SmolVLA (COMING SOON)
+
+```python
+# Example usage with SmolVLA - needs testing
+from transformers import AutoProcessor, AutoModelForVision2Seq
+
+processor = AutoProcessor.from_pretrained("HuggingFaceTB/SmolVLM-Instruct")
+model = AutoModelForVision2Seq.from_pretrained("HuggingFaceTB/SmolVLM-Instruct")
+
+# Process robotics episodes for VLA training
+# Implementation details coming soon...
+```
+
+## 📋 Data Collection
+
+The data was primarily collected using [LeRobot](https://github.com/huggingface/lerobot) software with SO-100 robotic arms, ensuring consistency in data format and quality across contributors. The collection process involved:
+
+1. **Community Contribution**: Multiple researchers and practitioners contributed datasets
+2. **Standardization**: All data converted to LeRobot standard format
+3. **Quality Control**: Automated validation and filtering pipeline
+4. **Processing**: Consistent preprocessing and format normalization
+
+## 🔄 Processing Pipeline
+
+This dataset was processed using an automated pipeline that:
+- ✅ Validates dataset format compatibility
+- ✅ Removes corrupted or incomplete episodes
+- ✅ Standardizes video formats and resolutions
+- ✅ Generates comprehensive metadata
+- ✅ Ensures LeRobot v2.0/v2.1 compatibility
+
+**Processing Results:**
+- Input datasets: 196
+- Successfully processed: 170 
+- Success rate: 87%
+- Failed datasets: 26 (mainly due to format incompatibility)
+
+## 🤝 Contributing
+
+This dataset represents community contributions. If you'd like to contribute additional datasets:
+
+1. Ensure your data follows the [LeRobot dataset format](https://github.com/huggingface/lerobot)
+2. Contact the maintainers for inclusion in future releases
+3. Follow the quality guidelines and formatting standards
+
+## 📚 Related Work
+
+- [SmolVLA Model](https://huggingface.co/HuggingFaceTB/SmolVLM-Instruct) - Vision-Language-Action model
+- [SmolVLA Blog Post](https://huggingface.co/blog/smolvla) - Detailed overview and applications  
+- [SmolVLA Paper](https://arxiv.org/abs/2501.00403) - Technical details and benchmarks
+- [LeRobot Datasets Blog](https://huggingface.co/blog/lerobot-datasets) - Overview of robotics datasets
+
+## 📄 License
+
+This dataset is released under the Apache 2.0 license. Please cite appropriately if used in research.
+
+## 🔗 Citation
+
+If you use this dataset in your research, please cite:
+
+```bibtex
+@dataset{community_dataset_v2,
+  title={LeRobot Community Dataset v2},
+  author={LeRobot Community},
+  year={2024},
+  publisher={Hugging Face},
+  url={https://huggingface.co/datasets/HuggingFaceVLA/community_dataset_v2}
+}
+```
+
+---
+
+Built with ❤️ by the SmolVLA team and LeRobot Community

Zak-Y/so100_grap_dataset/meta/episodes.jsonl

@@ -0,0 +1,20 @@
+{"episode_index": 0, "tasks": ["Grasp a lego block and put it in the bin."], "length": 489}
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+{"episode_index": 2, "tasks": ["Grasp a lego block and put it in the bin."], "length": 552}
+{"episode_index": 3, "tasks": ["Grasp a lego block and put it in the bin."], "length": 597}
+{"episode_index": 4, "tasks": ["Grasp a lego block and put it in the bin."], "length": 540}
+{"episode_index": 5, "tasks": ["Grasp a lego block and put it in the bin."], "length": 514}
+{"episode_index": 6, "tasks": ["Grasp a lego block and put it in the bin."], "length": 466}
+{"episode_index": 7, "tasks": ["Grasp a lego block and put it in the bin."], "length": 483}
+{"episode_index": 8, "tasks": ["Grasp a lego block and put it in the bin."], "length": 451}
+{"episode_index": 9, "tasks": ["Grasp a lego block and put it in the bin."], "length": 471}
+{"episode_index": 10, "tasks": ["Grasp a lego block and put it in the bin."], "length": 434}
+{"episode_index": 11, "tasks": ["Grasp a lego block and put it in the bin."], "length": 761}
+{"episode_index": 12, "tasks": ["Grasp a lego block and put it in the bin."], "length": 431}
+{"episode_index": 13, "tasks": ["Grasp a lego block and put it in the bin."], "length": 529}
+{"episode_index": 14, "tasks": ["Grasp a lego block and put it in the bin."], "length": 417}
+{"episode_index": 15, "tasks": ["Grasp a lego block and put it in the bin."], "length": 458}
+{"episode_index": 16, "tasks": ["Grasp a lego block and put it in the bin."], "length": 463}
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+{"episode_index": 18, "tasks": ["Grasp a lego block and put it in the bin."], "length": 511}
+{"episode_index": 19, "tasks": ["Grasp a lego block and put it in the bin."], "length": 1}

Zak-Y/so100_grap_dataset/meta/episodes_stats.jsonl

@@ -0,0 +1,20 @@
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Zak-Y/so100_grap_dataset/meta/info.json

@@ -0,0 +1,162 @@
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Zak-Y/so100_grap_dataset/meta/tasks.jsonl

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Zak-Y/so100_three_cameras_dataset/meta/episodes.jsonl

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Zak-Y/so100_three_cameras_dataset/meta/episodes_stats.jsonl

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Zak-Y/so100_three_cameras_dataset/meta/info.json

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Zak-Y/so100_three_cameras_dataset/meta/tasks.jsonl

@@ -0,0 +1 @@
+{"task_index": 0, "task": "Grasp a lego block and put it in the bin 3 cameras."}

badwolf256/so100_twin_cam_duck/meta/episodes.jsonl

@@ -0,0 +1,15 @@
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badwolf256/so100_twin_cam_duck/meta/episodes_stats.jsonl

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badwolf256/so100_twin_cam_duck/meta/info.json

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badwolf256/so100_twin_cam_duck/meta/tasks.jsonl

@@ -0,0 +1 @@
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badwolf256/so100_twin_cam_duck_v2/meta/episodes.jsonl

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badwolf256/so100_twin_cam_duck_v2/meta/episodes_stats.jsonl

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badwolf256/so100_twin_cam_duck_v2/meta/info.json

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badwolf256/so100_twin_cam_duck_v2/meta/tasks.jsonl

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badwolf256/so100_twin_cam_duck_v3/meta/episodes.jsonl

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badwolf256/so100_twin_cam_duck_v3/meta/episodes_stats.jsonl

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badwolf256/so100_twin_cam_duck_v3/meta/info.json

@@ -0,0 +1,127 @@
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badwolf256/so100_twin_cam_duck_v3/meta/tasks.jsonl

@@ -0,0 +1 @@
+{"task_index": 0, "task": "Grasp a duck and place it on the black square"}

m1b/so100_bluelego_updt/meta/episodes.jsonl

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m1b/so100_bluelego_updt/meta/episodes_stats.jsonl

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m1b/so100_bluelego_updt/meta/info.json

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m1b/so100_bluelego_updt/meta/tasks.jsonl

@@ -0,0 +1 @@
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nguyen-v/press_red_button_new/meta/episodes.jsonl

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nguyen-v/press_red_button_new/meta/info.json

@@ -0,0 +1,162 @@
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nguyen-v/press_red_button_new/meta/tasks.jsonl

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nguyen-v/so100_bimanual_grab_lemon_put_in_box2/meta/episodes.jsonl

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nguyen-v/so100_bimanual_grab_lemon_put_in_box2/meta/info.json

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nguyen-v/so100_bimanual_grab_lemon_put_in_box2/meta/tasks.jsonl

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nguyen-v/so100_rotate_red_button/meta/episodes.jsonl

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nguyen-v/so100_rotate_red_button/meta/info.json

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nguyen-v/so100_rotate_red_button/meta/tasks.jsonl

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