Foster Insight - Turkish AutoNLP HG

Start building an NLP solution now Annotated Turkish Datasets - ready to train!

Turkish FEVER (Fact Extraction and VERification)

FEVER is a publicly available dataset for fact extraction and verification against textual sources. It consists of 185,445 claims manually verified against the introductory sections of Wikipedia pages and classified as SUPPORTED, REFUTED or NOTENOUGHINFO.

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Ekşi Sözlük Named Entity Recognition Corpora

The most commonly used categories for tags are PER (person), LOC (location) and ORG (organization). To mark named entities that span multiple tokens, the tags have a prefix of either B- (beginning of named entity) or I- (inside of named entity). O (outside of named entity) tags are used to mark tokens that are not a named entity./p> Learn More

Annotated NLP Dataset for Legal Contract Review

Turkish Legal was created with dozens of legal experts from Law Event and consists of over 13,000 annotations.

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Named Entity Recognition

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Question Answering Systems

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Text Summarization

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