UNIST-Eunchan
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README.md
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@@ -51,7 +51,6 @@ This dataset was created by modifying and adapting the [allenai/QASPER: a datase
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and **aims to generate Question-Answer Pairs from the Abstract, Introduction of an NLP Paper**.
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## Dataset Details
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### Dataset Description
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- validation : 211 rows
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- test : 320 rows
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- **Curated by:** [@UNIST-Eunchan](https://huggingface.co/UNIST-Eunchan)
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<!-- Provide the basic links for the dataset. -->
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- **Repository:** [allenai/qasper](https://huggingface.co/datasets/allenai/qasper)
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- **Demo [optional]:** [More Information Needed]
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## Uses
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- **Question-based Summarization**
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<!-- Address questions around how the dataset is intended to be used. -->
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[More Information Needed]
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## Dataset Creation
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### Curation Rationale
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<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
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and **aims to generate Question-Answer Pairs from the Abstract, Introduction of an NLP Paper**.
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### Dataset Description
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- validation : 211 rows
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- test : 320 rows
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- **Curated by:** [@UNIST-Eunchan](https://huggingface.co/UNIST-Eunchan)
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### Dataset Sources
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This data is made by applying and processing [allenai/qasper](https://huggingface.co/datasets/allenai/qasper)
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<!-- Provide the basic links for the dataset. -->
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- **Repository:** [allenai/qasper](https://huggingface.co/datasets/allenai/qasper)
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## Uses
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- **Question-based Summarization**
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<!-- Address questions around how the dataset is intended to be used. -->
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## Dataset Creation
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### Curation Rationale
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Long Document Summarization datasets, especially those for Research Paper Summarization, are very limited and scarce.
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We tweak the existing data to provide domains and QA pairs specific to NLP among Research Papers.
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We expect to be able to generate multiple QA pairs if we let the model sample through training.
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We will release the fine-tuned model in the future.
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