5 datasets found

The FIGER dataset contains 2M data samples labeled with 113 types.

The OntoNotes dataset contains 3.4M automatically labeled entity mentions for training and 11k manually annotated instances that are split into 8k for dev set and 2k for test set.

The Recipe1M+ dataset is a large collection of culinary recipes labeled in respective categories with extended named entities extracted from recipe descriptions.

The 3A2M dataset is a large collection of culinary recipes labeled in respective categories with extended named entities extracted from recipe descriptions.

The 3A2M+ dataset is a large collection of culinary recipes labeled in respective categories with extended named entities extracted from recipe descriptions.