Datasets:
Tasks:
Text Classification
Languages:
English
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Language Creators:
found
Annotations Creators:
expert-generated
Source Datasets:
original
ArXiv:
License:
| annotations_creators: | |
| - expert-generated | |
| language_creators: | |
| - found | |
| language: | |
| - en | |
| license: | |
| - unknown | |
| multilinguality: | |
| - monolingual | |
| size_categories: | |
| - 10K<n<100K | |
| source_datasets: | |
| - original | |
| task_categories: | |
| - text-classification | |
| task_ids: [] | |
| paperswithcode_id: peerread | |
| pretty_name: PeerRead | |
| tags: | |
| - acceptability-classification | |
| dataset_info: | |
| - config_name: parsed_pdfs | |
| features: | |
| - name: name | |
| dtype: string | |
| - name: metadata | |
| struct: | |
| - name: source | |
| dtype: string | |
| - name: title | |
| dtype: string | |
| - name: authors | |
| sequence: string | |
| - name: emails | |
| sequence: string | |
| - name: sections | |
| sequence: | |
| - name: heading | |
| dtype: string | |
| - name: text | |
| dtype: string | |
| - name: references | |
| sequence: | |
| - name: title | |
| dtype: string | |
| - name: author | |
| sequence: string | |
| - name: venue | |
| dtype: string | |
| - name: citeRegEx | |
| dtype: string | |
| - name: shortCiteRegEx | |
| dtype: string | |
| - name: year | |
| dtype: int32 | |
| - name: referenceMentions | |
| sequence: | |
| - name: referenceID | |
| dtype: int32 | |
| - name: context | |
| dtype: string | |
| - name: startOffset | |
| dtype: int32 | |
| - name: endOffset | |
| dtype: int32 | |
| - name: year | |
| dtype: int32 | |
| - name: abstractText | |
| dtype: string | |
| - name: creator | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 571263679 | |
| num_examples: 11090 | |
| - name: test | |
| num_bytes: 34284777 | |
| num_examples: 637 | |
| - name: validation | |
| num_bytes: 32488519 | |
| num_examples: 637 | |
| download_size: 1246688292 | |
| dataset_size: 638036975 | |
| - config_name: reviews | |
| features: | |
| - name: id | |
| dtype: string | |
| - name: conference | |
| dtype: string | |
| - name: comments | |
| dtype: string | |
| - name: subjects | |
| dtype: string | |
| - name: version | |
| dtype: string | |
| - name: date_of_submission | |
| dtype: string | |
| - name: title | |
| dtype: string | |
| - name: authors | |
| sequence: string | |
| - name: accepted | |
| dtype: bool | |
| - name: abstract | |
| dtype: string | |
| - name: histories | |
| sequence: | |
| sequence: string | |
| - name: reviews | |
| sequence: | |
| - name: date | |
| dtype: string | |
| - name: title | |
| dtype: string | |
| - name: other_keys | |
| dtype: string | |
| - name: originality | |
| dtype: string | |
| - name: comments | |
| dtype: string | |
| - name: is_meta_review | |
| dtype: bool | |
| - name: is_annotated | |
| dtype: bool | |
| - name: recommendation | |
| dtype: string | |
| - name: replicability | |
| dtype: string | |
| - name: presentation_format | |
| dtype: string | |
| - name: clarity | |
| dtype: string | |
| - name: meaningful_comparison | |
| dtype: string | |
| - name: substance | |
| dtype: string | |
| - name: reviewer_confidence | |
| dtype: string | |
| - name: soundness_correctness | |
| dtype: string | |
| - name: appropriateness | |
| dtype: string | |
| - name: impact | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 15234922 | |
| num_examples: 11090 | |
| - name: test | |
| num_bytes: 878906 | |
| num_examples: 637 | |
| - name: validation | |
| num_bytes: 864799 | |
| num_examples: 637 | |
| download_size: 1246688292 | |
| dataset_size: 16978627 | |
| # Dataset Card for peer_read | |
| ## 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:** https://arxiv.org/abs/1804.09635 | |
| - **Repository:** https://github.com/allenai/PeerRead | |
| - **Paper:** https://arxiv.org/pdf/1804.09635.pdf | |
| - **Leaderboard:** [Needs More Information] | |
| - **Point of Contact:** [Needs More Information] | |
| ### Dataset Summary | |
| PearRead is a dataset of scientific peer reviews available to help researchers study this important artifact. The dataset consists of over 14K paper drafts and the corresponding accept/reject decisions in top-tier venues including ACL, NIPS and ICLR, as well as over 10K textual peer reviews written by experts for a subset of the papers. | |
| ### Supported Tasks and Leaderboards | |
| [More Information Needed] | |
| ### Languages | |
| en-English | |
| ## Dataset Structure | |
| ### Data Instances | |
| [More Information Needed] | |
| ### Data Fields | |
| #### parsed_pdfs | |
| - `name`: `string` Filename in the dataset | |
| - `metadata`: `dict` Paper metadata | |
| - `source`: `string` Paper source | |
| - `authors`: `list<string>` List of paper authors | |
| - `title`: `string` Paper title | |
| - `sections`: `list<dict>` List of section heading and corresponding description | |
| - `heading`: `string` Section heading | |
| - `text`: `string` Section description | |
| - `references`: `string` List of references | |
| - `title`: `string` Title of reference paper | |
| - `author`: `list<string>` List of reference paper authors | |
| - `venue`: `string` Reference venue | |
| - `citeRegEx`: `string` Reference citeRegEx | |
| - `shortCiteRegEx`: `string` Reference shortCiteRegEx | |
| - `year`: `int` Reference publish year | |
| - `referenceMentions`: `list<string>` List of reference mentions | |
| - `referenceID`: `int` Reference mention ID | |
| - `context`: `string` Reference mention context | |
| - `startOffset`: `int` Reference startOffset | |
| - `endOffset`: `int` Reference endOffset | |
| - `year`: `int` Paper publish year | |
| - `abstractText`: `string` Paper abstract | |
| - `creator`: `string` Paper creator | |
| #### reviews | |
| - `id`: `int` Review ID | |
| - `conference`: `string` Conference name | |
| - `comments`: `string` Review comments | |
| - `subjects`: `string` Review subjects | |
| - `version`: `string` Review version | |
| - `date_of_submission`: `string` Submission date | |
| - `title`: `string` Paper title | |
| - `authors`: `list<string>` List of paper authors | |
| - `accepted`: `bool` Paper accepted flag | |
| - `abstract`: `string` Paper abstract | |
| - `histories`: `list<string>` Paper details with link | |
| - `reviews`: `dict` Paper reviews | |
| - `date`: `string` Date of review | |
| - `title`: `string` Paper title | |
| - `other_keys`: `string` Reviewer other details | |
| - `originality`: `string` Originality score | |
| - `comments`: `string` Reviewer comments | |
| - `is_meta_review`: `bool` Review type flag | |
| - `recommendation`: `string` Reviewer recommendation | |
| - `replicability`: `string` Replicability score | |
| - `presentation_format`: `string` Presentation type | |
| - `clarity`: `string` Clarity score | |
| - `meaningful_comparison`: `string` Meaningful comparison score | |
| - `substance`: `string` Substance score | |
| - `reviewer_confidence`: `string` Reviewer confidence score | |
| - `soundness_correctness`: `string` Soundness correctness score | |
| - `appropriateness`: `string` Appropriateness score | |
| - `impact`: `string` Impact score | |
| ### Data Splits | |
| [More Information Needed] | |
| ## Dataset Creation | |
| ### Curation Rationale | |
| [More Information Needed] | |
| ### Source Data | |
| #### Initial Data Collection and Normalization | |
| [More Information Needed] | |
| #### Who are the source language producers? | |
| [More Information Needed] | |
| ### Annotations | |
| #### Annotation process | |
| [More Information Needed] | |
| #### Who are the annotators? | |
| [More Information Needed] | |
| ### Personal and Sensitive Information | |
| [More Information Needed] | |
| ## Considerations for Using the Data | |
| ### Social Impact of Dataset | |
| [More Information Needed] | |
| ### Discussion of Biases | |
| [More Information Needed] | |
| ### Other Known Limitations | |
| [More Information Needed] | |
| ## Additional Information | |
| ### Dataset Curators | |
| Dongyeop Kang, Waleed Ammar, Bhavana Dalvi Mishra, Madeleine van Zuylen, Sebastian Kohlmeier, Eduard Hovy, Roy Schwartz | |
| ### Licensing Information | |
| [More Information Needed] | |
| ### Citation Information | |
| @inproceedings{kang18naacl, | |
| title = {A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications}, | |
| author = {Dongyeop Kang and Waleed Ammar and Bhavana Dalvi and Madeleine van Zuylen and Sebastian Kohlmeier and Eduard Hovy and Roy Schwartz}, | |
| booktitle = {Meeting of the North American Chapter of the Association for Computational Linguistics (NAACL)}, | |
| address = {New Orleans, USA}, | |
| month = {June}, | |
| url = {https://arxiv.org/abs/1804.09635}, | |
| year = {2018} | |
| } | |
| ### Contributions | |
| Thanks to [@vinaykudari](https://github.com/vinaykudari) for adding this dataset. |