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