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Datasets:
DeepMount00
/
GLINER_ITA

Tasks:
Token Classification
Languages:
Italian
Size Categories:
100K<n<1M
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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.
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