Datasets:
Tasks:
Text Generation
Sub-tasks:
language-modeling
Languages:
German
Size:
10K<n<100K
ArXiv:
Tags:
question-generation
License:
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## Dataset Description
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- **Repository:** [https://github.com/asahi417/lm-question-generation](https://github.com/asahi417/lm-question-generation)
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- **Paper:** [
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- **Point of Contact:** [Asahi Ushio](http://asahiushio.com/)
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### Dataset Summary
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This is a subset of [QG-Bench](https://github.com/asahi417/lm-question-generation/blob/master/QG_BENCH.md#datasets), a unified question generation benchmark proposed in
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["Generative Language Models for Paragraph-Level Question Generation: A Unified Benchmark and Evaluation, EMNLP 2022 main conference"](
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This is a modified version of [GermanQuAD](https://huggingface.co/datasets/deepset/germanquad) for question generation (QG) task.
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Since the original dataset only contains training/validation set, we manually sample test set from training set, which
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has no overlap in terms of the paragraph with the training set.
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## Dataset Description
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- **Repository:** [https://github.com/asahi417/lm-question-generation](https://github.com/asahi417/lm-question-generation)
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- **Paper:** [https://arxiv.org/abs/2210.03992](https://arxiv.org/abs/2210.03992)
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- **Point of Contact:** [Asahi Ushio](http://asahiushio.com/)
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### Dataset Summary
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This is a subset of [QG-Bench](https://github.com/asahi417/lm-question-generation/blob/master/QG_BENCH.md#datasets), a unified question generation benchmark proposed in
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["Generative Language Models for Paragraph-Level Question Generation: A Unified Benchmark and Evaluation, EMNLP 2022 main conference"](https://arxiv.org/abs/2210.03992).
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This is a modified version of [GermanQuAD](https://huggingface.co/datasets/deepset/germanquad) for question generation (QG) task.
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Since the original dataset only contains training/validation set, we manually sample test set from training set, which
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has no overlap in terms of the paragraph with the training set.
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