TESS-Computer/minecraft-vla-stage1

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 methodology.

Source

• Original: OpenAI VPT Contractor Data (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

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 - Original contractor data
• JARVIS-VLA - Instruction annotations
• Lumine - Training methodology

License

MIT License. Original VPT data is released under MIT by OpenAI.