| 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. |