Datasets related to the task of Scholarly Document Quality Prediction (SDQP). Each sample is an academic paper for which either the citation count or the review score can be predicted (depending on availability).

ACL-OCL Extended

A dataset for citation count prediction only, based on the ACL-OCL dataset. Extended with updated citation counts, references and annotated research hypothesis

OpenReview (Last Update: 1.1.2025)

A dataset for review score and citation count prediction, obtained by parsing OpenReview. Due to licensing the dataset comes in different formats:

Datasets without parsed pdfs of submissions (i.e. the fields introduction, background, methodology, experiments_results, conclusion, full_text are available)

openreview-public: Contains full information on all OpenReview submissions that are accompanied with a CC BY 4.0 license.

Datasets without parsed pdfs of submissions (i.e. the fields introduction, background, methodology, experiments_results, conclusion, full_text are None)

openreview-full: Contains all OpenReview submissions, splits generated based on publications dates.
openreview-iclr: All ICLR submissions from the years 2018-2023 (training) and 2024 (validation and training).
openreview-neurips: All NeurIPS submissions from the years 2021-2023 (training) and 2024 (validation and training).

All datasets without parsed pdfs of submissions can be completed by running code available here

Overview of Dataset columns

Attribute	Type	Explanation
Basic Paper Info
`title`	`str`	The title of the paper.
`authors`	`list[Author]`	A list of authors of the paper.
`abstract`	`str \| None`	The abstract of the paper (optional).
`summary`	`str \| None`	A summary of the paper (optional).
`month_since_publication`	`int \| None`	Month passed since the publication date (optional)
`publication_date`	`str \| None`	The publication date of the paper (optional).
`field_of_study`	`list[str] \| None`	The field(s) of study the paper belongs to (optional).
`venue`	`str \| None`	The venue where the paper was published (optional).
ID's
`paperhash`	`str`	A unique hash identifier for the paper. (last_name_first_author\|title\|venue)
`arxiv_id`	`str \| None`	The arXiv ID of the paper (optional).
`s2_corpus_id`	`str \| None`	The Semantic Scholar (S2) corpus ID of the paper (optional).
Semantic Scholar Metadata
`n_references`	`int \| None`	The number of references in the paper (optional).
`n_citations`	`int \| None`	The number of citations the paper has received, only accepted papers (optional).
`n_influential_citations`	`int \| None`	The number of influential citations the paper has received, only accepted papers (optional).
`external_ids`	`dict \| None`	External IDs associated with the paper (optional).
Content
`introduction`	`str \| None`	Introduction of the paper if available (optional)
`background`	`str \| None`	Background of the paper if available (optional)
`methodology`	`str \| None`	Methodology of the paper if available (optional)
`experiments_results`	`str \| None`	Experiments & Results of the paper if available (optional)
`conclusion`	`str \| None`	Conclusion of the paper if available (optional)
`full_text`	`str \| None`	Full text of the paper if available (optional)
Review Data
`decision`	`bool \| None`	The decision on the paper (e.g., accepted/rejected) (optional).
`decision_text`	`str \| None`	The text explaining the decision (optional).
`reviews`	`list[Review] \| None`	A list of reviews for the paper (optional).
`comments`	`list[Comment] \| None`	A list of comments on the paper (optional).
Scores
`mean_score`	`float \| None`	The mean overall score of the reviews (optional)
`mean_novelty`	`float \| None`	The mean novelty score of the reviews (optional)
`mean_confidence`	`float \| None`	The mean confidence score of the reviews (optional)
`mean_correctness`	`float \| None`	The mean correctness score of the reviews (optional)
`mean_clarity`	`float \| None`	The mean clarity score of the reviews (optional)
`mean_impact`	`float \| None`	The mean impact score of the reviews (optional)
`mean_reproducibility`	`float \| None`	The mean reproducibility score of the reviews (optional)
`avg_citations_per_month`	`float \| None`	The average number of citations per month
References
`references`	`list[Reference] \| None`	A list of references cited in the paper (optional).
Hypothesis
`hypothesis`	`str \| None`	The hypothesis proposed in the paper annotated via an LLM (optional).

The attributes of Author, Review, Comment, Reference are the following:

Review

Attribute	Type	Explanation
`review_id`	`str`	A unique identifier for the review.
`review`	`TextReview`	The content of the review, represented by the `TextReview` model.
`score`	`float \| None`	The overall score given by the reviewer (optional).
`confidence`	`float \| None`	The reviewer's confidence in their assessment (optional).
`novelty`	`float \| None`	The novelty score of the paper (optional).
`correctness`	`float \| None`	The correctness score of the paper (optional).
`clarity`	`float \| None`	The clarity score of the paper (optional).
`impact`	`float \| None`	The impact score of the paper (optional).
`reproducibility`	`float \| None`	The reproducibility score of the paper (optional).
`ethics`	`str \| None`	Ethical considerations noted by the reviewer (optional).

TextReview

Attribute	Type	Explanation
`title`	`str \| None`	The title of the review (optional).
`paper_summary`	`str \| None`	A summary of the paper being reviewed (optional).
`main_review`	`str \| None`	The main content of the review (optional).
`strength_weakness`	`str \| None`	A section discussing the strengths and weaknesses of the paper (optional).
`questions`	`str \| None`	Questions raised by the reviewer (optional).
`limitations`	`str \| None`	Limitations of the paper as noted by the reviewer (optional).
`review_summary`	`str \| None`	A summary of the review (optional).

Comment

Attribute	Type	Explanation
`title`	`str \| None`	The title of the comment (optional).
`comment`	`str`	The content of the comment.

Reference

Attribute	Type	Explanation
Basic Paper Info
`title`	`str`	The title of the referenced paper.
`abstract`	`str`	The abstract of the referenced paper (default is an empty string).
`authors`	`list[str]`	A list of authors of the referenced paper.
IDs
`paperhash`	`str`	Paperhash for the reference paper (first_author_last_name\|title)
`arxiv_id`	`str \| None`	The arXiv ID of the referenced paper (optional, default is an empty string).
`s2_corpus_id`	`str \| None`	The Semantic Scholar (S2) corpus ID of the referenced paper (optional, default is an empty string).
Reference Specific Info
`intents`	`list[str] \| None`	The intents or purposes of the reference (optional).
`isInfluential`	`bool \| None`	Indicates whether the reference is influential (optional).