README.md

---
configs:
- config_name: default
  data_files:
  - split: train
    path: train.jsonl
license: cc-by-sa-4.0
language:
- tr
tags:
- turkish
- wiki
- wikipedia
- turkish data
- dataset
size_categories:
- 100K<n<1M
---
# Turkish Wikipedia Dataset

A cleaned and structured Turkish Wikipedia dataset designed for Turkish language model pretraining, continued pretraining, research, and NLP experiments.

The dataset consists of articles collected from the Turkish Wikipedia (`tr.wikipedia.org`) and processed into a machine-readable format while preserving important source metadata.

## Dataset Summary

* **Language:** Turkish (`tr`)
* **Source:** Turkish Wikipedia
* **Domain:** General knowledge / encyclopedia
* **Format:** JSON / JSONL
* **Primary use:** Turkish NLP and language-model training
* **Collection:** Wikipedia API
* **Processing:** Text extraction, normalization, cleaning, and metadata preservation

Each record represents a Wikipedia article.

### Example

```json
{
  "title": "1. Ordu (Osmanlı İmparatorluğu)",
  "text": "1. Ordu, Osmanlı Ordusu'nun ordularından biri.\n\nDüzen\nSavaş Düzeni, 1877\n...",
  "source": "https://tr.wikipedia.org/wiki/1._Ordu_%28Osmanl%C4%B1_%C4%B0mparatorlu%C4%9Fu%29",
  "page_id": 99567,
  "revision_id": 32655654,
  "timestamp": "2024-05-01T16:38:16Z"
}
```

## Dataset Structure

Each JSON/JSONL record contains the following fields:

| Field         | Type    | Description                                   |
| ------------- | ------- | --------------------------------------------- |
| `title`       | string  | Wikipedia article title                       |
| `text`        | string  | Cleaned article text                          |
| `source`      | string  | Original Turkish Wikipedia article URL        |
| `page_id`     | integer | Wikipedia page ID                             |
| `revision_id` | integer | Revision ID used for the dataset entry        |
| `timestamp`   | string  | Timestamp associated with the source revision |

## Data Processing

The source articles are processed before being included in the dataset.

The processing pipeline is designed to:

* Extract the main article content.
* Remove unnecessary HTML and interface elements.
* Normalize article text.
* Preserve paragraph and section structure where possible.
* Remove navigation and presentation-related content.
* Preserve article titles.
* Preserve the original Wikipedia source URL.
* Preserve page and revision identifiers.
* Preserve the source revision timestamp.
* Produce UTF-8 encoded JSON/JSONL output.

The goal is to retain useful encyclopedic information while removing unnecessary webpage-related noise.

## Dataset Format

The recommended training format is JSONL.

Each line represents one article:

```json
{"title":"Article Title","text":"Article content...","source":"https://tr.wikipedia.org/wiki/...","page_id":123,"revision_id":456,"timestamp":"2025-01-01T00:00:00Z"}
```

This makes the dataset suitable for streaming and large-scale processing without requiring the complete dataset to be loaded into memory.

## Intended Uses

This dataset may be useful for:

* Turkish language model pretraining
* Continued pretraining
* Turkish NLP research
* Text classification
* Information retrieval
* Semantic search
* Question answering research
* Turkish language understanding
* Tokenizer evaluation
* Text generation experiments
* Dataset and preprocessing research

## Out-of-Scope Uses

The dataset should not be treated as:

* A source of guaranteed factual truth
* A replacement for expert or primary sources
* A curated medical, legal, financial, or scientific knowledge base
* A dataset containing only verified or authoritative information

Wikipedia is collaboratively edited and may contain inaccuracies, incomplete information, disputed claims, outdated information, or biased coverage.

Users should independently verify important information against appropriate primary or authoritative sources.

## Data Quality

The dataset is automatically processed and therefore may contain:

* Incomplete articles
* Historical or outdated information
* Editorial inconsistencies
* Formatting artifacts
* Duplicate or near-duplicate information
* Lists and tabular information represented as plain text
* Articles with limited content

The dataset should therefore be considered a **processed web/encyclopedic corpus**, rather than a manually verified gold-standard dataset.

## Source and Attribution

The underlying content originates from the Turkish Wikipedia:

https://tr.wikipedia.org/

Individual records retain their original article URL together with the corresponding Wikipedia page ID and revision ID whenever available.

Users redistributing or creating derivative datasets from this corpus should comply with the licensing requirements of the original Wikipedia content.

## License

The textual content of Wikipedia is available under the **Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)** license, subject to the applicable terms and conditions.

https://creativecommons.org/licenses/by-sa/4.0/

When redistributing this dataset or a derivative dataset, users should review the current Wikipedia and Wikimedia licensing requirements and provide appropriate attribution.

The dataset creator does not claim ownership of the underlying Wikipedia article text.

## Citation

If you use this processed dataset in research or another public project, please cite this dataset and the original source.

### Dataset

```bibtex
@misc{turkish_wikipedia_dataset,
  title        = {Turkish Wikipedia Dataset},
  author       = {Dataset Contributors},
  year         = {2026},
  publisher    = {Hugging Face},
  url          = {https://huggingface.co/datasets/YOUR_USERNAME/YOUR_DATASET}
}
```

### Original Source

```bibtex
@misc{wikipedia,
  title        = {Wikipedia},
  publisher    = {Wikimedia Foundation},
  url          = {https://www.wikipedia.org/}
}
```

## Disclaimer

This dataset is provided for research and educational purposes.

The dataset creator is not responsible for errors, omissions, outdated information, or claims contained in the underlying Wikipedia articles.

The presence of an article or statement in this dataset does not constitute endorsement of its content.

## Versioning

Dataset releases should be versioned independently from the source Wikipedia revisions.

Example:

* `train0001`
* `train0002`
* `train0003`

Each release may contain different articles or revisions depending on the collection date and preprocessing pipeline.

The `revision_id` and `timestamp` fields should be used to identify the exact source revision represented by an individual record.

## Acknowledgements

This dataset would not be possible without the contributors who create, edit, maintain, and improve Turkish Wikipedia.

Special thanks to the Turkish Wikipedia community and Wikimedia contributors.

---

**Source:** Turkish Wikipedia (`tr.wikipedia.org`)
**Language:** Turkish
**Format:** JSON / JSONL
**License of source content:** CC BY-SA 4.0