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| # Dataset Card for "gigaword" | |
| ## Table of Contents | |
| - [Dataset Description](#dataset-description) | |
| - [Dataset Summary](#dataset-summary) | |
| - [Supported Tasks](#supported-tasks) | |
| - [Languages](#languages) | |
| - [Dataset Structure](#dataset-structure) | |
| - [Data Instances](#data-instances) | |
| - [Data Fields](#data-fields) | |
| - [Data Splits Sample Size](#data-splits-sample-size) | |
| - [Dataset Creation](#dataset-creation) | |
| - [Curation Rationale](#curation-rationale) | |
| - [Source Data](#source-data) | |
| - [Annotations](#annotations) | |
| - [Personal and Sensitive Information](#personal-and-sensitive-information) | |
| - [Considerations for Using the Data](#considerations-for-using-the-data) | |
| - [Social Impact of Dataset](#social-impact-of-dataset) | |
| - [Discussion of Biases](#discussion-of-biases) | |
| - [Other Known Limitations](#other-known-limitations) | |
| - [Additional Information](#additional-information) | |
| - [Dataset Curators](#dataset-curators) | |
| - [Licensing Information](#licensing-information) | |
| - [Citation Information](#citation-information) | |
| - [Contributions](#contributions) | |
| ## [Dataset Description](#dataset-description) | |
| - **Homepage:** [https://github.com/harvardnlp/sent-summary](https://github.com/harvardnlp/sent-summary) | |
| - **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| - **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| - **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| - **Size of downloaded dataset files:** 551.61 MB | |
| - **Size of the generated dataset:** 918.35 MB | |
| - **Total amount of disk used:** 1469.96 MB | |
| ### [Dataset Summary](#dataset-summary) | |
| Headline-generation on a corpus of article pairs from Gigaword consisting of | |
| around 4 million articles. Use the 'org_data' provided by | |
| https://github.com/microsoft/unilm/ which is identical to | |
| https://github.com/harvardnlp/sent-summary but with better format. | |
| There are two features: | |
| - document: article. | |
| - summary: headline. | |
| ### [Supported Tasks](#supported-tasks) | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### [Languages](#languages) | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ## [Dataset Structure](#dataset-structure) | |
| We show detailed information for up to 5 configurations of the dataset. | |
| ### [Data Instances](#data-instances) | |
| #### default | |
| - **Size of downloaded dataset files:** 551.61 MB | |
| - **Size of the generated dataset:** 918.35 MB | |
| - **Total amount of disk used:** 1469.96 MB | |
| An example of 'train' looks as follows. | |
| ``` | |
| { | |
| "document": "train source", | |
| "summary": "train target" | |
| } | |
| ``` | |
| ### [Data Fields](#data-fields) | |
| The data fields are the same among all splits. | |
| #### default | |
| - `document`: a `string` feature. | |
| - `summary`: a `string` feature. | |
| ### [Data Splits Sample Size](#data-splits-sample-size) | |
| | name | train |validation|test| | |
| |-------|------:|---------:|---:| | |
| |default|3803957| 189651|1951| | |
| ## [Dataset Creation](#dataset-creation) | |
| ### [Curation Rationale](#curation-rationale) | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### [Source Data](#source-data) | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### [Annotations](#annotations) | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### [Personal and Sensitive Information](#personal-and-sensitive-information) | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ## [Considerations for Using the Data](#considerations-for-using-the-data) | |
| ### [Social Impact of Dataset](#social-impact-of-dataset) | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### [Discussion of Biases](#discussion-of-biases) | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### [Other Known Limitations](#other-known-limitations) | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ## [Additional Information](#additional-information) | |
| ### [Dataset Curators](#dataset-curators) | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### [Licensing Information](#licensing-information) | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### [Citation Information](#citation-information) | |
| ``` | |
| @article{graff2003english, | |
| title={English gigaword}, | |
| author={Graff, David and Kong, Junbo and Chen, Ke and Maeda, Kazuaki}, | |
| journal={Linguistic Data Consortium, Philadelphia}, | |
| volume={4}, | |
| number={1}, | |
| pages={34}, | |
| year={2003} | |
| } | |
| @article{Rush_2015, | |
| title={A Neural Attention Model for Abstractive Sentence Summarization}, | |
| url={http://dx.doi.org/10.18653/v1/D15-1044}, | |
| DOI={10.18653/v1/d15-1044}, | |
| journal={Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing}, | |
| publisher={Association for Computational Linguistics}, | |
| author={Rush, Alexander M. and Chopra, Sumit and Weston, Jason}, | |
| year={2015} | |
| } | |
| ``` | |
| ### Contributions | |
| Thanks to [@lewtun](https://github.com/lewtun), [@lhoestq](https://github.com/lhoestq), [@thomwolf](https://github.com/thomwolf) for adding this dataset. |