Update README.md

README.md

@@ -1,3 +1,71 @@
 ---
 license: apache-2.0
+task_categories:
+- robotics
+tags:
+- lerobot
+- ego-vision
+- embodied-ai
+- teleoperation
+- robot-learning
+- factory-automation
+- 3c-manufacturing
+- manipulation
+pretty_name: RealFactory Ego Data
 ---
+
+# RealFactory-Ego-Data
+
+Real-world factory production line ego-perspective manipulation dataset collected by **FlyBirdData (飞鸟数据)**, a data service brand of **Shenzhen Mingzhi DataTech Co., Ltd. (深圳市明志数科信息有限公司)**.
+
+## About
+
+This dataset contains **5 high-quality episodes** of real 3C electronics manufacturing tasks recorded from an ego-centric (first-person) perspective on an actual touchscreen production line. Each episode includes synchronized RGB video, hand pose landmarks, and holistic action annotations in LeRobot-compatible format.
+
+## Tasks
+
+| Episode | Task | Duration | Size |
+|---------|------|----------|------|
+| 触摸屏贴边2026081304 | Edge alignment & bonding | ~3 min | 203 MB |
+| 触摸屏贴边20260818012 | Edge alignment & bonding | ~3 min | 207 MB |
+| 触摸屏割膜20260819007 | Protective film cutting | ~3 min | 271 MB |
+| 触摸屏抓取放置20260819001 | Pick & place on conveyor | ~2 min | 102 MB |
+| 触摸屏撕膜20260818018 | Protective film peeling | ~3 min | 223 MB |
+
+## Data Format
+
+Each `.zip` file contains a **LeRobot-compatible holistic output** with:
+
+- **RGB video** — Ego-perspective recording of the assembly task
+- **Hand pose** — 21-landmark hand keypoint tracking per frame
+- **Action annotations** — Frame-level action boundary labels (holistic_detect output)
+- **Metadata** — Task type, timestamps, and quality metrics
+
+## Collection Environment
+
+- **Scenario**: Real 3C touchscreen manufacturing production line
+- **Viewpoint**: Ego / first-person (head-mounted camera)
+- **Tasks**: Edge bonding, film cutting, pick-and-place, film peeling
+- **Worker**: Experienced production line operator
+- **Annotation pipeline**: FlyBirdData automated holistic detection + manual QC
+
+## Why Ego Data Matters
+
+Ego-perspective data captures the exact visual input a human worker sees during assembly, including occlusions, depth cues, and fine motor control. This is critical for training imitation learning and video-based manipulation policies that must generalize to real factory conditions — not just lab environments.
+
+## About FlyBirdData
+
+**FlyBirdData (飞鸟数据)** is a specialized robot training data provider under Shenzhen Mingzhi DataTech Co., Ltd. We are one of the few providers in China with real 3C manufacturing production line access for ego-perspective data collection. Our services include:
+
+- Ego + UMI (Universal Manipulation Interface) fused data collection
+- Force/torque, joint torque, and 3D pose annotation
+- LeRobot standard format conversion
+- Full pipeline: collection → annotation → QC → delivery
+
+**Website**: https://mz-datatech.com/
+**Contact**: contact@mz-datatech.com
+**Code**: https://gitee.com/ok_vincey/flybird-data
+
+## License
+
+Apache-2.0