language:tr license:apache-2.0 size_categories:1M<n<10M format:csv modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
license: apache-2.0
language:
- tr
size_categories:
- 1M<n<10M
---
# 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")