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--- |
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language: |
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- zh |
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task_categories: |
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- token-classification |
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dataset_info: |
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config_name: privacy_detection |
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features: |
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- name: id |
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dtype: string |
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- name: tokens |
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sequence: string |
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- name: ner_tags |
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sequence: |
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class_label: |
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names: |
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'0': O |
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'1': B-position |
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'2': I-position |
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'3': B-name |
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'4': I-name |
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'5': B-movie |
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'6': I-movie |
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'7': B-organization |
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'8': I-organization |
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'9': B-company |
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'10': I-company |
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'11': B-book |
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'12': I-book |
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'13': B-address |
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'14': I-address |
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'15': B-scene |
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'16': I-scene |
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'17': B-mobile |
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'18': I-mobile |
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'19': B-email |
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'20': I-email |
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'21': B-game |
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'22': I-game |
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'23': B-government |
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'24': I-government |
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'25': B-QQ |
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'26': I-QQ |
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'27': B-vx |
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'28': I-vx |
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splits: |
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- name: train |
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num_bytes: 4899635 |
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num_examples: 2515 |
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download_size: 3290405 |
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dataset_size: 4899635 |
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--- |
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# Dataset Card for privacy_dectection |
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<!-- Provide a quick summary of the dataset. --> |
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This dataset is used for the [Privacy Information Detection in Unstructured Business Text Information](https://www.datafountain.cn/competitions/472) competition, and was obtained through preprocessing the original dataset. |
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