| === 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. | |