README.md

metadata

license: cc-by-4.0
task_categories:
  - text-retrieval
language:
  - en
configs:
  - config_name: Papers
    data_files:
      - split: papers_collection
        path:
          - papers_collection.jsonl
      - split: papers_test
        path:
          - papers_test.jsonl
      - split: papers_test_judgeable
        path:
          - papers_test_judgeable.jsonl
  - config_name: Qrels
    data_files:
      - split: qrels_authors
        path:
          - qrels/qrels.test.authors.tsv
      - split: qrels_cite
        path:
          - qrels/qrels.test.cite.tsv
      - split: qrels_simcite
        path:
          - qrels/qrels.test.simcite.tsv
    sep: "\t"
tags:
  - reviewer-assignment
  - scientific-papers
  - authorship
  - information-retrieval
pretty_name: exHarmony
size_categories:
  - 1M<n<10M

exHarmony: Authorship and Citations for Benchmarking the Reviewer Assignment Problem

Quick links: 📃 Paper | ⚙️ Code

Dataset Summary

exHarmony is a large-scale benchmark dataset for the Reviewer Assignment Problem (RAP), reframing reviewer recommendation as an information retrieval task. It leverages publication metadata from OpenAlex to construct a collection of papers, their authors, citation links, and multiple qrel definitions for evaluation.

The dataset allows researchers to systematically study reviewer recommendation under different assumptions of reviewer expertise (e.g., authorship, citation networks, and similarity-filtered citations).

exHarmony was introduced in the paper:

exHarmony: Authorship and Citations for Benchmarking the Reviewer Assignment Problem Ebrahimi, Salamat, Arabzadeh, Bashari, Bagheri (ECIR 2025)

• Collection split: A large set of scientific papers used for indexing.
• Test split: Papers held out for evaluation.
• Authors' works mapping: Links each author to their published works.
• Authors' information: Includes metadata such as citation counts, institutional affiliation, and years of experience.

Usage

from datasets import load_dataset

dataset = load_dataset("Reviewerly/exHarmony", "Papers") # Select data type from ['Papers', 'Qrels']

# Example: Access paper collection
papers = dataset["papers_collection"]
print(papers[0])

# Example: Access paper collection
qrels = dataset["qrels_authors"]
print(qrels[0])

Dataset Structure

Data Files

Description	File Name	File Size	Num Records	Format
Collection	papers_collection.jsonl	1.6 GB	1,204,150	paper_id, title, abstract
Test	papers_test.jsonl	15 MB	9,771	paper_id, title, abstract
Test (judgable)	papers_test_judgable.jsonl	14 MB	7,944	paper_id, title, abstract
Authors’ Works Mapping	authors_works_collection_ids.jsonl	222 MB	1,589,723	author_id, list_of_authors_papers
Authors’ Information	authors_info.jsonl	225 MB	1,589,723	author_id, citation, works_count, experience_years, institution

Format: JSON Lines (.jsonl), one JSON object per record.

Example Records

Paper record:

{"id": "https://openalex.org/W4323317762", "title": "Sharding-Based Proof-of-Stake Blockchain Protocols: Key Components & Probabilistic Security Analysis", "abstract": "Blockchain technology has been gaining great interest from a variety of sectors including healthcare, supply chain, and cryptocurrencies..."}

Author works mapping:

{"id": "https://openalex.org/A5083262615", "works": ["https://openalex.org/W4323317762", "https://openalex.org/W4285189682"]}

Author information:

{"id": "https://openalex.org/A5083262615", "citations": 238, "works_count": 14, "experience_years": 5, "institution": "Université de Montréal"}

Qrel Files

exHarmony provides multiple qrels to evaluate RAP under different assumptions:

Qrel Set	Description
exHarmony-Authors	Authors of each paper are considered relevant.
exHarmony-Cite	Authors of the most similar paper in the test set are considered relevant.
exHarmony-SimCite	Narrows citation-based relevance to the top-10 most similar cited papers.

Citation

If you use this resource, please cite our paper:

@inproceedings{ebrahimi2025exharmony,
  author = {Ebrahimi, Sajad and Salamat, Sara and Arabzadeh, Negar and Bashari, Mahdi and Bagheri, Ebrahim},
  title = {exHarmony: Authorship and Citations for Benchmarking the Reviewer Assignment Problem},
  year = {2025},
  isbn = {978-3-031-88713-0},
  publisher = {Springer-Verlag},
  doi = {10.1007/978-3-031-88714-7_1},
  booktitle = {Advances in Information Retrieval: 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6–10, 2025, Proceedings, Part III},
  pages = {1–16},
}