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README.md

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+---
+license: mit
+task_categories:
+  - robotics
+  - video-classification
+tags:
+  - minecraft
+  - vla
+  - vision-language-action
+  - gaming
+  - behavioral-cloning
+size_categories:
+  - 1M<n<10M
+---
+
+# Minecraft VLA Stage 1: Action Pretraining Data
+
+Vision-Language-Action training data for Minecraft, processed from OpenAI's VPT contractor dataset.
+
+## Dataset Description
+
+This dataset contains frame-action pairs from Minecraft gameplay, designed for training VLA models following the [Lumine](https://www.lumine-ai.org/) methodology.
+
+### Source
+- **Original**: [OpenAI VPT Contractor Data](https://github.com/openai/Video-Pre-Training) (7.x subset)
+- **Videos**: ~17,886 videos (~330 hours of early-game gameplay)
+- **Task**: "Play Minecraft" with focus on first 30 minutes of new worlds
+
+### Format
+
+Each sample contains:
+| Field | Type | Description |
+|-------|------|-------------|
+| `image` | bytes | 640x360 JPEG frame |
+| `video_id` | string | Source video identifier |
+| `frame_idx` | int | Frame number at 5Hz |
+| `action` | string | Lumine-format action string |
+
+### Action Format
+
+```
+<|action_start|> mouse_x mouse_y scroll ; K1 ; K2 ; K3 ; K4 <|action_end|>
+```
+
+- `mouse_x`, `mouse_y`: Mouse delta (-1000 to 1000)
+- `scroll`: Hotbar scroll (always 0 - VPT uses number keys)
+- `K1` to `K4`: Key combinations per 50ms chunk
+
+**Example:**
+```
+<|action_start|> 45 -12 0 ; W ; W Space ; W LMB ; W LMB <|action_end|>
+```
+
+### Processing Details
+
+- **Frame rate**: 5 FPS (downsampled from VPT's 20 FPS)
+- **Action chunks**: 4 per frame (each 50ms = 200ms total)
+- **Filtering**: Idle frames removed, loading screens filtered
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Streaming (recommended - no download required)
+ds = load_dataset("TESS-Computer/minecraft-vla-stage1", split="train", streaming=True)
+
+for sample in ds:
+    image = sample["image"]  # PIL Image or bytes
+    action = sample["action"]
+    # Process...
+```
+
+## Training Pipeline
+
+This is Stage 1 of a 3-stage training pipeline:
+1. **Stage 1** (this dataset): Action pretraining - learn observation→action mapping
+2. **Stage 2**: Instruction following - add task instructions from JARVIS-VLA
+3. **Stage 3**: Reasoning - add chain-of-thought before complex actions
+
+## Citation
+
+If you use this dataset, please cite:
+- [OpenAI VPT](https://arxiv.org/abs/2206.11795) - Original contractor data
+- [JARVIS-VLA](https://craftjarvis.github.io/JarvisVLA/) - Instruction annotations
+- [Lumine](https://www.lumine-ai.org/) - Training methodology
+
+## License
+
+MIT License. Original VPT data is released under MIT by OpenAI.