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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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- - **Homepage:**
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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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+
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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