You need to agree to share your contact information to access this dataset

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this dataset content.

Dataset Overview

The dataset provided here is a comprehensive collection supporting the model's training and evaluation. It is particularly suited for those looking to work on or improve Italian NER systems.

Key Features

  • Total Texts: The dataset contains over 110,000 annotated texts, providing a rich resource for training and testing NER models.
  • Unique Labels: There are a total of 97,351 different labels within the dataset. These labels cover a broad spectrum of named entities, making the dataset invaluable for developing models capable of identifying a wide variety of entities.
  • Annotation Quality: Annotations have been meticulously verified to ensure high accuracy and reliability for model training and benchmarking.
Downloads last month
127

Models trained or fine-tuned on DeepMount00/GLINER_ITA