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STNM-NLPhoenix/turkish-org-ner

Turkish Organization Named Entity Recognition (NER) Dataset This dataset is designed for Named Entity Recognition (NER) tasks in the Turkish language, specifically focusing on organization entities. It contains sentences annotated with the ORGANIZATION label, making it a valuable resource for training and evaluating NER models. Usage To use this dataset, you can load it directly from Huggingface's datasets library: from datasets import load_dataset dataset =… See the full description on the dataset page: https://huggingface.co/datasets/STNM-NLPhoenix/turkish-org-ner.

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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Turkish Organization Named Entity Recognition (NER) Dataset

This dataset is designed for Named Entity Recognition (NER) tasks in the Turkish language, specifically focusing on organization entities. It contains sentences annotated with the ORGANIZATION label, making it a valuable resource for training and evaluating NER models.

Dataset Description

  • —Language: Turkish
  • —Entity Type: ORGANIZATION
  • —Number of Annotations: [400K]
  • —Format: CoNLL format (words, label)

Usage

To use this dataset, you can load it directly from Huggingface's datasets library:

python
from datasets import load_dataset

dataset = load_dataset("STNM-NLPhoenix/turkish-org-ner")