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--- |
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dataset_info: |
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features: |
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- name: answer |
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dtype: string |
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- name: context |
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dtype: string |
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- name: question |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 5566439 |
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num_examples: 4997 |
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download_size: 3459636 |
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dataset_size: 5566439 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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license: mit |
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task_categories: |
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- text-generation |
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- text2text-generation |
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- question-answering |
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language: |
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- tr |
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pretty_name: Turkish Extractive Question-Answer Dataset |
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size_categories: |
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- 1K<n<10K |
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--- |
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# Dataset Card for Dataset Name |
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<!-- Provide a quick summary of the dataset. --> |
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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. |
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The dataset is a manually curated version of multiple Turkish QA-based datasets and some of the answers are arranged by hand. |
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