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---
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](https://arxiv.org/pdf/2502.07683) | ⚙️ [Code](https://github.com/Reviewerly-Inc/exHarmony)
## 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
```python
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:**
```json
{"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:**
```json
{"id": "https://openalex.org/A5083262615", "works": ["https://openalex.org/W4323317762", "https://openalex.org/W4285189682"]}
```
**Author information:**
```json
{"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},
}
```
|