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Your dataset must be tagged with a codebase version.
Assuming _version_ is the codebase_version value in the info.json, you can run this:
```python
from huggingface_hub import HfApi
hub_api = HfApi()
hub_api.create_tag("Hafnium49/paper_return_calibrate_ver2", tag="_version_", repo_type="dataset")
```
1{
2 "save_interval": 100,
3 "num_train_steps": 1000,
4 "batch_size": 16,
5 "seed": 42,
6 "data.image_keys": [
7 "observation.images.main",
8 "observation.images.secondary_0"
9 ]
10}