---
dataset_info:
  features:
  - name: answer
    dtype: string
  - name: context
    dtype: string
  - name: question
    dtype: string
  splits:
  - name: train
    num_bytes: 5566439
    num_examples: 4997
  download_size: 3459636
  dataset_size: 5566439
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: mit
task_categories:
- text-generation
- text2text-generation
- question-answering
language:
- tr
pretty_name: Turkish Extractive Question-Answer Dataset
size_categories:
- 1K<n<10K
---
# Dataset Card for Dataset Name

<!-- Provide a quick summary of the dataset. -->

The dataset consists of nearly 5000 {Context, Question, Answer} triplets in Turkish. It can be used in finetuning large language models for text-generation, masked language modeling, instruction following, and extractive question answering.
The dataset is a manually curated version of multiple Turkish QA-based datasets and some of the answers are arranged by hand.