File size: 911 Bytes
5937d99 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | === Training Example Data Info ===
This example is saved from the raw training dataset (before data_processor).
Data is saved in unnormalized form to match testing phase format.
Sample keys:
image: shape=torch.Size([1, 3, 480, 640]), dtype=torch.uint8
state: shape=torch.Size([12]), dtype=torch.float32
action: shape=torch.Size([100, 12]), dtype=torch.float32
is_pad: shape=torch.Size([100]), dtype=torch.bool
raw_lang: str
reasoning: dict
timestamp: int
episode_id: int
dataset_id: str
Files saved:
- camera_{i}.png: raw images from dataset (unnormalized, original resolution)
- state_raw.csv: raw state values (unnormalized)
- action_raw.csv: raw action values (unnormalized)
- raw_lang.txt: language instruction (if available)
- reasoning.json: reasoning data (if available)
- info.txt: this file
Note: These raw values can be directly compared with testing phase examples.
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