yayi_uie_sft_data

## 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.


## 训练数据（Training Data）
百万级语料中，中文占比54%，英文占比46%。该数据集涵盖12个领域，具体包括金融、社会、生物、商业、工业制造、化学、车辆、科学、疾病与医疗、个人生活、安全及通用领域，覆盖数百个应用场景：
- 命名实体识别（NER）：中文覆盖**28**种实体类型，涵盖人物、地缘政治实体、组织、身体部位、药物等；英文覆盖**130**种实体类型，例如Animal、Weapon、Conference、Book等。
- 关系抽取（RE）：中文覆盖**232**种关系类型，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**种关系类型，例如founded by、state or province of headquarters、employee of、occupation、creator等。
- 事件抽取（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，以及**203**种论元；英文覆盖**45**种事件类型，例如Born、Demonstrate、Meet、End Organization、Divorce等，以及**62**种论元。


搜集汇总

背景与挑战

背景概述

该数据集包含百万级的中英文语料，覆盖12个领域和数百个场景，特别适用于NER、RE和EE等自然语言处理任务，提供了丰富的实体、关系和事件类型标注。