训练数据/Training Data

百万级语料中文54%，英文46%；其中其中数据集包括12个领域包括金融，社会，生物，商业，工业制造，化学，车辆，科学，疾病医疗，个人生活，安全和通用。覆盖数百个使用场景

NER：中文覆盖28个实体类型包括人物，地缘政治，组织，身体部位，药物等，英文覆盖130个实体类型包括Animal, Weapon, Conference, Book等。
RE：中文覆盖232种关系包括买资，增持，重组，国籍，别名，亲属，入股，转让，导致，发生地点，制造商等，英文覆盖236种关系包括founded by，state or province of headquarters，employee of，occupation，creator等。
EE：中文覆盖84种事件类型,包括中标，高管变动，产品行为-发布，公司上市等，和203种论元，英文覆盖45种事件类型，包括Born, Demonstrate, Meet, End Organization, Divorce等，和62种论元。

In the corpus of over a million entries, 54% are in Chinese and 46% in English. The dataset encompasses 12 fields including finance, society, biology, business, industrial manufacturing, chemistry, vehicles, science, disease and medicine, personal life, security, and general topics, covering hundreds of scenarios:

NER: In Chinese, it covers 28 types of entities including individuals, geopolitics, organizations, body parts, drugs, etc., while in English, it covers 130 types of entities such as Animals, Weapons, Conferences, Books, etc.
RE: In Chinese, it includes 232 types of relations like acquisitions, stake increases, restructurings, nationality, aliases, relatives, buying shares, transfers, causes, locations of occurrence, manufacturers, etc., and in English, 236 types of relations such as founded by, state or province of headquarters, employee of, occupation, creator, etc.
EE: Chinese covers 84 types of events including winning a bid, executive changes, product actions - launches, company listings, etc., and 203 types of arguments, whereas English covers 45 types of events such as Birth, Demonstration, Meeting, End of Organization, Divorce, etc., and 62 types of arguments.

数据分布

10 个文件

浏览文件

数据集版权信息

本数据集的许可证为 Apache License 2.0。如有违反相关条款，请联系 WEHUB，我们将及时处理。查看许可证

wenge-research/yayi_uie_sft_data 已完整同步

训练数据/Training Data

10 个文件

数据集版权信息