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The dataset consists of nearly 82K {Context, Question, Answer} triplets in Turkish. Since most of the answers are only a few words and taken directly from the provided context, it can be better used in in finetuning encoder-only models like BERT for extractive question answering. The dataset is a filtered and combined version of multiple Turkish QA-based datasets.
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Please use [ucsahin/TR-Extractive-QA-5K](https://huggingface.co/datasets/ucsahin/TR-Extractive-QA-5K) for more detailed and sampled version of this dataset.
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The dataset consists of nearly 82K {Context, Question, Answer} triplets in Turkish. Since most of the answers are only a few words and taken directly from the provided context, it can be better used in in finetuning encoder-only models like BERT for extractive question answering or embedding models for retrieval. The dataset is a filtered and combined version of multiple Turkish QA-based datasets.
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Please use [ucsahin/TR-Extractive-QA-5K](https://huggingface.co/datasets/ucsahin/TR-Extractive-QA-5K) for more detailed and sampled version of this dataset.
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