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.