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README.md
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---
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license: mit
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task_categories:
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- other
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tags:
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- gesture-control
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- minecraft
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- body-pose
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- crowdsourced
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pretty_name: MCGestureControl Crowdsourced Data
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---
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# MCGestureControl Crowdsourced Data
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Training data for the MCGestureControl project — an AI system that plays Minecraft using body gestures captured by a phone camera.
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## Dataset Structure
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```
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minecraft/ — Gameplay telemetry NPZ files (game_state, controls, timestamps)
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body/ — Body skeleton NPY files (260-dim: pose + hands per frame)
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paired/ — Paired gameplay + body recordings
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```
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## Data Formats
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### Minecraft Gameplay (NPZ)
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- `controls` — (T, 28) float32: resolved game controls per frame
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- `game_state` — (T, 46) float32: game state vectors per frame
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- `timestamps` — (T,) float64: unix timestamps
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- `frame_indices` — (T,) int32: corresponding video frame indices
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- `fps` — float32: recording framerate (typically 30)
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- `version` — int32: recorder version
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- `recorder_id` — string: anonymous machine identifier
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### Body Skeleton (NPY)
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- Shape: (T, 260) float32
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- Layout: pose_world(99) + left_hand_3d(63) + right_hand_3d(63) + left_present(1) + right_present(1) + pose_visibility(33)
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### Controls Layout (28 dims)
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Movement (0-6), Attack/Use (7-8), Look yaw/pitch (9-10), Utility (11-13), Hotbar one-hot (14-22), Cursor (23-24), Inventory clicks (25-27)
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## Contributing
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Data is collected via the MCGestureControl crowdsourcing portal. Contributors register, accept a data agreement, and upload recordings.
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## Privacy
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- Raw body video is auto-processed into skeleton data and deleted
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- Skeleton data contains no personally identifiable information
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- Contributor IPs are stored as irreversible SHA-256 hashes
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