
### How to loading dataset?
```python
from datasets import load_dataset
datasets = load_dataset("minskiter/msra",save_infos=True)
train,test = datasets['train'],datasets['test']
# convert label to str
print(train.features['labels'].feature.int2str(0))
```

### Force update
```python
from datasets import load_dataset
datasets = load_dataset("minskiter/msra", download_mode="force_redownload")
```

### Fit your train

```python
def transform(example):
  # edit example here
  return example
for key in datasets:
  datasets[key] = datasets.map(transform)
```

region:us
{"dataset_info": {"features": [{"name": "text", "sequence": "string"}, {"name": "labels", "sequence": {"class_label": {"names": {"0": "O", "1": "B-NS", "2": "M-NS", "3": "E-NS", "4": "S-NS", "5": "B-NT", "6": "M-NT", "7": "E-NT", "8": "S-NT", "9": "B-NR", "10": "M-NR", "11": "E-NR", "12": "S-NR"}}}}], "splits": [{"name": "train", "num_bytes": 32917977, "num_examples": 46364}, {"name": "test", "num_bytes": 2623860, "num_examples": 4365}], "download_size": 14890129, "dataset_size": 35541837}}
TAGS
#region-us 


### How to loading dataset?


### Force update


### Fit your train



### How to loading dataset? ### Force update ### Fit your train
TAGS
#region-us 
 ### How to loading dataset? ### Force update ### Fit your train