Initial upload: 50 factory manipulation episodes

README.md

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+---
+license: apache-2.0
+task_categories:
+- robotics
+- video-classification
+tags:
+- robot-learning
+- egocentric-video
+- manufacturing
+- lerobot
+pretty_name: Ego2Robot Factory Episodes
+size_categories:
+- n<1K
+---
+
+# Ego2Robot: Factory Manipulation Episodes
+
+## Dataset Description
+
+50 curated episodes of factory worker manipulation tasks, converted from egocentric video into LeRobot-compatible format for robot learning research.
+
+### Key Features
+
+- **50 episodes** (~1,800 frames total)
+- **Real factory work** from 85 manufacturing facilities
+- **10 skill clusters** discovered via unsupervised learning
+- **LeRobot v3.0 format** with observations + pseudo-actions
+- **Rich annotations**: VideoMAE embeddings, CLIP labels, quality scores
+
+### Data Structure
+
+Each episode contains:
+- **Observations**:
+  - `observation.images.top`: RGB frames (360x640, 6fps)
+  - `observation.state`: Hand bounding box [x_min, y_min, x_max, y_max]
+- **Actions**: 2D hand motion vectors `[delta_x, delta_y]` (pseudo-actions for representation learning)
+- **Metadata**: Skill cluster ID, zero-shot action label, quality scores
+
+### Skill Distribution
+
+- Quality Inspection: 50% (25 episodes)
+- Assembly: 17% (9 episodes)
+- Fastening: 17% (8 episodes)
+- Machine Operation: 8% (4 episodes)
+- Mixed: 8% (4 episodes)
+
+### Intended Use
+
+**Primary**: Representation learning and pretraining for vision-language-action (VLA) models
+
+- Pretrain visual encoders on diverse manipulation tasks
+- Learn spatial reasoning from egocentric perspective
+- Discover manipulation primitives via clustering
+- Domain adaptation for manufacturing robotics
+
+**NOT intended for**: Direct robot policy learning (actions are pseudo-actions from human hand motion, not robot joint commands)
+
+### Data Collection
+
+- **Source**: BuildAI Egocentric-10K dataset
+- **Processing pipeline**:
+  1. Quality filtering (motion + hand visibility)
+  2. VideoMAE embeddings (768-dim)
+  3. CLIP zero-shot labeling
+  4. K-means clustering (10 skills)
+  5. Hand tracking (MediaPipe)
+  6. LeRobot format conversion
+
+### Citation
+```bibtex
+@dataset{ego2robot2025,
+  title={Ego2Robot: Factory Manipulation Episodes for Robot Learning},
+  author={Michelle Sun},
+  year={2025},
+  url={https://huggingface.co/datasets/msunbot1/ego2robot-factory-episodes}
+}
+```
+
+### License
+
+Apache 2.0 (inherits from Egocentric-10K source dataset)
+
+### Contact
+
+For questions or collaboration: x.com/michellelsun

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