nerel-ds/NEREL
NEREL: A Russian Dataset with Nested Named Entities, Relations and Events
This project provides a comprehensive Russian language dataset for training and evaluating systems that can automatically identify various types of information in text. It takes raw Russian text as input and outputs identified entities (like people, places, organizations), their relationships, and mentions of events. This resource is ideal for researchers, linguists, or anyone building advanced natural language processing applications for Russian.
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Use this if you need a high-quality, richly annotated dataset for developing or benchmarking Russian language processing tools, especially for tasks involving detailed information extraction.
Not ideal if you primarily work with other languages or if your information extraction needs are very basic and don't require nested entities or complex relation types.
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Nov 01, 2023
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