wenge-research
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add EN to README.md
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README.md
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雅意信息抽取统一大模型 (YAYI-UIE)在百万级人工构造的高质量信息抽取数据上进行指令微调得到,统一训练信息抽取任务包括命名实体识别(NER),关系抽取(RE)和事件抽取(EE),实现通用、安全、金融、生物、医疗、商业、个人、车辆、电影、工业、餐厅、科学等场景下结构化抽取。
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通过雅意IE大模型的开源为促进中文预训练大模型开源社区的发展,贡献自己的一份力量,通过开源,与每一位合作伙伴共建雅意大模型生态。
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模型下载地址是 https://huggingface.co/wenge-research/yayi-uie
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The YAYI Unified Information Extraction Large Language Model (YAYI UIE), fine-tuned on millions of high-quality data, integrates training across tasks such as Named Entity
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Recognition (NER), Relation Extraction (RE), and Event Extraction (EE). The model is able to extract structured outputs across diverse fields including general, security,
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finance, biology, medicine, business, personal, automotive, film, industry, restaurant, and science.
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The open-source of YAYI-UIE aims to foster the growth of the Chinese PLM open-source community. We can't wait to collaborate with our partners to develop the YAYI Large
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Models ecosystem!
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![instruction](./assets/YAYI-UIE-1.png)
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@@ -79,8 +79,7 @@ From the given text, extract all the entities and types. Please format the answe
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2. RE
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```
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Text:
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From the given text, extract the possible head entities (subjects) and tail entities (objects) and give the corresponding relation triples.
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The relations are [country of administrative divisions,place of birth,location contains]. Output the result in json[{'relation':'', 'head':'', 'tail':''}, ].
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```
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3. EE
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```
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雅意信息抽取统一大模型 (YAYI-UIE)在百万级人工构造的高质量信息抽取数据上进行指令微调得到,统一训练信息抽取任务包括命名实体识别(NER),关系抽取(RE)和事件抽取(EE),实现通用、安全、金融、生物、医疗、商业、个人、车辆、电影、工业、餐厅、科学等场景下结构化抽取。
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通过雅意IE大模型的开源为促进中文预训练大模型开源社区的发展,贡献自己的一份力量,通过开源,与每一位合作伙伴共建雅意大模型生态。
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模型下载地址是 https://huggingface.co/wenge-research/yayi-uie
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The YAYI Unified Information Extraction Large Language Model (YAYI UIE), fine-tuned on millions of high-quality data, integrates training across tasks such as Named Entity
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Recognition (NER), Relation Extraction (RE), and Event Extraction (EE). The model is able to extract structured outputs across diverse fields including general, security,
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finance, biology, medicine, business, personal, automotive, film, industry, restaurant, and science.
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The open-source of YAYI-UIE aims to foster the growth of the Chinese PLM open-source community. We can't wait to collaborate with our partners to develop the YAYI Large Models ecosystem!
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![instruction](./assets/YAYI-UIE-1.png)
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2. RE
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```
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Text:
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From the given text, extract the possible head entities (subjects) and tail entities (objects) and give the corresponding relation triples.The relations are [country of administrative divisions,place of birth,location contains]. Output the result in json[{'relation':'', 'head':'', 'tail':''}, ].
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```
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3. EE
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```
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