---
dataset_info:
  features:
  - name: text
    dtype: string
  - name: category
    dtype: string
  - name: labels
    dtype: int64
  splits:
  - name: train
    num_bytes: 80088185
    num_examples: 36000
  - name: test
    num_bytes: 1802902
    num_examples: 1200
  download_size: 46779515
  dataset_size: 81891087
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
task_categories:
- text-classification
- text-generation
language:
- tr
size_categories:
- 100K<n<1M
---
## Dataset Summary

This is a diverse Turkish corpus consisting of 120,000 rows, categorized into 5 major domains.

### Dataset Schema & Labels

| Category | Labels | Description |
| :--- | :---: | :--- |
| **Conversation** | 0 | Daily dialogues and conversational language |
| **Review** | 1 | User reviews and sentiment-related data |
| **Wiki** | 2 | Encyclopedic and formal informational texts |
| **News** | 3 | News articles and journalistic language |
| **STEM** | 4 | Academic texts (Science, Tech, Engineering, Math, Medicine) |
---

### Sources
The dataset is curated from the following sources:

* **Conversation:** `TFLai/Turkish-Dialog-Dataset`
* **Review:** `winvoker/turkish-sentiment-analysis-dataset`
* **Wiki:** `wikimedia/wikipedia` (Turkish)
* **News:** `batubayk/TR-News`
* **STEM:** * `hazal/Turkish-Biomedical-corpus-trM`
    * `hazal/electronic-radiology-phd-thesis-trR`
    * `ysdede/khanacademy-turkish`