README.md

---
annotations_creators:
- no-annotation
language:
- tr
language_creators:
- crowdsourced
license:
- cc-by-sa-3.0
- gfdl
multilinguality: []
pretty_name: Turkish March 2023
size_categories:
- 100K<n<1M
source_datasets:
- original
tags:
- wikipedia, wiki,
task_categories:
- fill-mask
- text-generation
task_ids:
- masked-language-modeling
dataset_info:
  features:
  - name: id
    dtype: string
  - name: url
    dtype: string
  - name: title
    dtype: string
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 937933753
    num_examples: 512976
  download_size: 520010011
  dataset_size: 937933753
---


# 📖 Wikipedia Turkish March 2023

This dataset is a collection of articles from the Turkish Wikipedia and is designed to be used for masked language modeling and text generation tasks.

## 📚 Dataset Info

The dataset is organized into one split: "train". The "train" split contains 512,377 examples and has a size of 935,821,219 bytes. Each example in the dataset contains the following features: id, url, title, and text. The "id" feature is a string, while the "url", "title", and "text" features are all of dtype string.
Based on Wikipedia dump of "20230220"
Processed and cleaned using Huggingface wikipedia cleaner.

## 🗣️ Annotations

The articles in this dataset were not specifically annotated for any particular task, meaning that the dataset is unlabeled.

## 🌐 Language

This dataset is written in Turkish and was created using crowdsourcing methods by a team of volunteers.

## 📜 License

CC-BY-SA 3.0 and GFDL

## 💻 Source Datasets

This dataset is an original dataset created from the Turkish Wikipedia.

## 📝 Task Categories and IDs

The Wikipedia Turkish February 2023 dataset is designed to be used for two main tasks: fill-mask and text-generation. The task IDs associated with this dataset are "masked-language-modeling".


## 💾 Download Size

The download size is 518,914,544 bytes.

Thank you for using the Wikipedia Turkish dataset! We hope it is useful for your language modeling and text generation tasks.