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README.md
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-fields)
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## Dataset Description
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- **Repository:** [OA Dataset repository](https://github.com/tencent-ailab/OASum)
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- **Paper:** [OASum: Large-Scale Open Domain Aspect-based Summarization](https://arxiv.org/pdf/2212.09233.pdf), [Get To The Point: Summarization with Pointer-Generator Networks](https://www.aclweb.org/anthology/K16-1028.pdf)
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The OASum Dataset is an English-language dataset containing over 3.6M document, aspect, and summary triplets.
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## Dataset Structure
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### Data Instances
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- [Dataset Usage](#dataset-usage)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-fields)
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## Dataset Description
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- **Repository:** [OASum Dataset repository](https://github.com/tencent-ailab/OASum)
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- **Paper:** [OASum: Large-Scale Open Domain Aspect-based Summarization](https://arxiv.org/pdf/2212.09233.pdf), [Get To The Point: Summarization with Pointer-Generator Networks](https://www.aclweb.org/anthology/K16-1028.pdf)
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The OASum Dataset is an English-language dataset containing over 3.6M document, aspect, and summary triplets.
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## Dataset Usage
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You can directly download it with huggingface datasets.
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``` python
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from datasets import load_dataset
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dataset = load_dataset("cnn_dailymail")
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```
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## Dataset Structure
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### Data Instances
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