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TalTechNLP/EstQA

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Hugging Face2024-08-22 更新2025-04-12 收录
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--- language: et dataset_info: features: - name: context dtype: string - name: question dtype: string - name: answers list: - name: answer_start dtype: int64 - name: text dtype: string - name: title dtype: string - name: id dtype: string splits: - name: train num_bytes: 772885 num_examples: 776 - name: test num_bytes: 590275 num_examples: 603 download_size: 257799 dataset_size: 1363160 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* license: cc-by-4.0 task_categories: - question-answering pretty_name: EstQA --- # Estonian Question Answering dataset * Dataset for extractive question answering in Estonian. It is based on Wikipedia articles, pre-filtered via PageRank. Annotation was done by one person. * Train set includes 776 context-question-answer triplets. There are several possible answers per question, each in a separate triplet. Number of different questions is 512. * Test set includes 603 samples. Each sample contains one or more golden answers. Altogether there are 892 golden ansewrs. ### Change log * Version 1.2: restructured from https://huggingface.co/datasets/anukaver/EstQA to use flattened structure * Version 1.1: Test set v1.1 adds some more golden answers. ### Reference If you use this dataset for research, please cite the following paper: ``` @mastersthesis{mastersthesis, author = {Anu Käver}, title = {Extractive Question Answering for Estonian Language}, school = {Tallinn University of Technology (TalTech)}, year = 2021 } ```
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