---
license: apache-2.0
dataset_info:
  features:
  - name: text
    sequence: string
  - name: labels
    sequence:
      class_label:
        names:
          '0': O
          '1': B-PER.NAM
          '2': I-PER.NAM
          '3': E-PER.NAM
          '4': S-PER.NAM
          '5': B-ORG.NAM
          '6': I-ORG.NAM
          '7': E-ORG.NAM
          '8': S-ORG.NAM
          '9': B-LOC.NAM
          '10': I-LOC.NAM
          '11': E-LOC.NAM
          '12': S-LOC.NAM
          '13': B-GPE.NAM
          '14': I-GPE.NAM
          '15': E-GPE.NAM
          '16': S-GPE.NAM
          '17': B-PER.NOM
          '18': I-PER.NOM
          '19': E-PER.NOM
          '20': S-PER.NOM
          '21': B-ORG.NOM
          '22': I-ORG.NOM
          '23': E-ORG.NOM
          '24': S-ORG.NOM
          '25': B-LOC.NOM
          '26': I-LOC.NOM
          '27': E-LOC.NOM
          '28': S-LOC.NOM
          '29': B-GPE.NOM
          '30': I-GPE.NOM
          '31': E-GPE.NOM
          '32': S-GPE.NOM
  splits:
  - name: train
    num_bytes: 1095833
    num_examples: 1350
  - name: validation
    num_bytes: 215953
    num_examples: 270
  - name: test
    num_bytes: 220694
    num_examples: 270
  download_size: 217348
  dataset_size: 1532480
language:
- zh
tags:
- social
size_categories:
- 1K<n<10K
---

### How to loading dataset?
```python
from datasets import load_dataset
datasets = load_dataset("minskiter/weibo",save_infos=True)
train,validation,test = datasets['train'],datasets['validation'],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/weibo", download_mode="force_redownload")
```

### CHANGE LOGS

- 21/7/2023 v1.0.2 Fix data format. 
- 16/7/2023 v1.0.0 Publish weibo data.