| | --- |
| | annotations_creators: |
| | - found |
| | language: |
| | - pt |
| | language_creators: |
| | - found |
| | license: afl-3.0 |
| | multilinguality: |
| | - monolingual |
| | pretty_name: KittIA |
| | size_categories: |
| | - 10K<n<100K |
| | source_datasets: |
| | - original |
| | task_categories: |
| | - text-generation |
| | - question-answering |
| | task_ids: [] |
| | paperswithcode_id: null |
| | tags: |
| | - not-for-all-audiences |
| | 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. |
