Datasets:
albertvillanova
HF staff
Convert dataset sizes from base 2 to base 10 in the dataset card (#6)
14c5296
| annotations_creators: | |
| - found | |
| language: | |
| - en | |
| language_creators: | |
| - found | |
| license: | |
| - unknown | |
| multilinguality: | |
| - monolingual | |
| pretty_name: ScientificPapers | |
| size_categories: | |
| - 100K<n<1M | |
| source_datasets: | |
| - original | |
| task_categories: | |
| - summarization | |
| task_ids: [] | |
| paperswithcode_id: null | |
| tags: | |
| - abstractive-summarization | |
| dataset_info: | |
| - config_name: arxiv | |
| features: | |
| - name: article | |
| dtype: string | |
| - name: abstract | |
| dtype: string | |
| - name: section_names | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 7148341992 | |
| num_examples: 203037 | |
| - name: validation | |
| num_bytes: 217125524 | |
| num_examples: 6436 | |
| - name: test | |
| num_bytes: 217514961 | |
| num_examples: 6440 | |
| download_size: 4504646347 | |
| dataset_size: 7582982477 | |
| - config_name: pubmed | |
| features: | |
| - name: article | |
| dtype: string | |
| - name: abstract | |
| dtype: string | |
| - name: section_names | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 2252027383 | |
| num_examples: 119924 | |
| - name: validation | |
| num_bytes: 127403398 | |
| num_examples: 6633 | |
| - name: test | |
| num_bytes: 127184448 | |
| num_examples: 6658 | |
| download_size: 4504646347 | |
| dataset_size: 2506615229 | |
| # Dataset Card for "scientific_papers" | |
| ## Table of Contents | |
| - [Dataset Description](#dataset-description) | |
| - [Dataset Summary](#dataset-summary) | |
| - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) | |
| - [Languages](#languages) | |
| - [Dataset Structure](#dataset-structure) | |
| - [Data Instances](#data-instances) | |
| - [Data Fields](#data-fields) | |
| - [Data Splits](#data-splits) | |
| - [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 | |
| - **Homepage:** | |
| - **Repository:** https://github.com/armancohan/long-summarization | |
| - **Paper:** [A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents](https://arxiv.org/abs/1804.05685) | |
| - **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:** 9.01 GB | |
| - **Size of the generated dataset:** 10.09 GB | |
| - **Total amount of disk used:** 19.10 GB | |
| ### Dataset Summary | |
| Scientific papers datasets contains two sets of long and structured documents. | |
| The datasets are obtained from ArXiv and PubMed OpenAccess repositories. | |
| Both "arxiv" and "pubmed" have two features: | |
| - article: the body of the document, paragraphs separated by "/n". | |
| - abstract: the abstract of the document, paragraphs separated by "/n". | |
| - section_names: titles of sections, separated by "/n". | |
| ### Supported Tasks and Leaderboards | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Languages | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ## Dataset Structure | |
| ### Data Instances | |
| #### arxiv | |
| - **Size of downloaded dataset files:** 4.50 GB | |
| - **Size of the generated dataset:** 7.58 GB | |
| - **Total amount of disk used:** 12.09 GB | |
| An example of 'train' looks as follows. | |
| ``` | |
| This example was too long and was cropped: | |
| { | |
| "abstract": "\" we have studied the leptonic decay @xmath0 , via the decay channel @xmath1 , using a sample of tagged @xmath2 decays collected...", | |
| "article": "\"the leptonic decays of a charged pseudoscalar meson @xmath7 are processes of the type @xmath8 , where @xmath9 , @xmath10 , or @...", | |
| "section_names": "[sec:introduction]introduction\n[sec:detector]data and the cleo- detector\n[sec:analysys]analysis method\n[sec:conclusion]summary" | |
| } | |
| ``` | |
| #### pubmed | |
| - **Size of downloaded dataset files:** 4.50 GB | |
| - **Size of the generated dataset:** 2.51 GB | |
| - **Total amount of disk used:** 7.01 GB | |
| An example of 'validation' looks as follows. | |
| ``` | |
| This example was too long and was cropped: | |
| { | |
| "abstract": "\" background and aim : there is lack of substantial indian data on venous thromboembolism ( vte ) . \\n the aim of this study was...", | |
| "article": "\"approximately , one - third of patients with symptomatic vte manifests pe , whereas two - thirds manifest dvt alone .\\nboth dvt...", | |
| "section_names": "\"Introduction\\nSubjects and Methods\\nResults\\nDemographics and characteristics of venous thromboembolism patients\\nRisk factors ..." | |
| } | |
| ``` | |
| ### Data Fields | |
| The data fields are the same among all splits. | |
| #### arxiv | |
| - `article`: a `string` feature. | |
| - `abstract`: a `string` feature. | |
| - `section_names`: a `string` feature. | |
| #### pubmed | |
| - `article`: a `string` feature. | |
| - `abstract`: a `string` feature. | |
| - `section_names`: a `string` feature. | |
| ### Data Splits | |
| | name |train |validation|test| | |
| |------|-----:|---------:|---:| | |
| |arxiv |203037| 6436|6440| | |
| |pubmed|119924| 6633|6658| | |
| ## Dataset Creation | |
| ### Curation Rationale | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Source Data | |
| #### Initial Data Collection and Normalization | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| #### Who are the source language producers? | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Annotations | |
| #### Annotation process | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| #### Who are the annotators? | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### 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 | |
| ### 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 | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Other Known Limitations | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ## Additional Information | |
| ### Dataset Curators | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Licensing Information | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Citation Information | |
| ``` | |
| @article{Cohan_2018, | |
| title={A Discourse-Aware Attention Model for Abstractive Summarization of | |
| Long Documents}, | |
| url={http://dx.doi.org/10.18653/v1/n18-2097}, | |
| DOI={10.18653/v1/n18-2097}, | |
| journal={Proceedings of the 2018 Conference of the North American Chapter of | |
| the Association for Computational Linguistics: Human Language | |
| Technologies, Volume 2 (Short Papers)}, | |
| publisher={Association for Computational Linguistics}, | |
| author={Cohan, Arman and Dernoncourt, Franck and Kim, Doo Soon and Bui, Trung and Kim, Seokhwan and Chang, Walter and Goharian, Nazli}, | |
| year={2018} | |
| } | |
| ``` | |
| ### Contributions | |
| Thanks to [@thomwolf](https://github.com/thomwolf), [@jplu](https://github.com/jplu), [@lewtun](https://github.com/lewtun), [@patrickvonplaten](https://github.com/patrickvonplaten) for adding this dataset. |