|
--- |
|
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. |
