Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Sub-tasks:
sentiment-classification
Languages:
Turkish
Size:
< 1K
License:
Update README.md
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README.md
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- `label`: Sentiment class (positive / negative / neutral)
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---
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annotations_creators:
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- manual
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language:
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- tr
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license: apache-2.0
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multilinguality: monolingual
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pretty_name: Turkish Sentiment Dataset
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task_categories:
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- text-classification
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task_ids:
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- sentiment-classification
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---
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# Turkish Sentiment Dataset 🇹🇷
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This dataset includes 30 Turkish sentences labeled with 3 sentiment classes: `positive`, `negative`, and `neutral`.
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## Features
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- `text` (string): the sentence
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- `label` (class): one of `positive`, `negative`, `neutral`
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## Usage
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```python
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from datasets import load_dataset
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dataset = load_dataset("Zeyustun/turkish-sentiment-dataset")
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