Datasets:
metadata
dataset_info:
- config_name: actionability
features:
- name: review_point
dtype: string
- name: paper_id
dtype: string
- name: venue
dtype: string
- name: focused_review
dtype: string
- name: batch
dtype: int64
- name: actionability
struct:
- name: annotators
sequence: string
- name: labels
sequence: string
- name: actionability_label
dtype: string
- name: actionability_label_type
dtype: string
- name: id
dtype: int64
splits:
- name: gold
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num_examples: 444
- name: silver
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num_examples: 764
- name: hard
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num_examples: 224
- name: full
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num_examples: 1432
download_size: 3418239
dataset_size: 6852636
- config_name: addressed_to_author
features:
- name: review_point
dtype: string
- name: paper_id
dtype: string
- name: venue
dtype: string
- name: focused_review
dtype: string
- name: batch
dtype: int64
- name: addressed_to_author
struct:
- name: annotators
sequence: string
- name: labels
sequence: string
- name: addressed_to_author_label
dtype: string
- name: addressed_to_author_label_type
dtype: string
- name: id
dtype: int64
splits:
- name: gold
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num_examples: 990
- name: silver
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num_examples: 361
- name: full
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num_examples: 1351
download_size: 3097695
dataset_size: 6434228
- config_name: combined_main_aspects
features:
- name: review_point
dtype: string
- name: paper_id
dtype: string
- name: venue
dtype: string
- name: focused_review
dtype: string
- name: batch
dtype: int64
- name: actionability
struct:
- name: annotators
sequence: string
- name: labels
sequence: string
- name: actionability_label
dtype: string
- name: actionability_label_type
dtype: string
- name: id
dtype: int64
- name: grounding_specificity
struct:
- name: annotators
sequence: string
- name: labels
sequence: string
- name: grounding_specificity_label
dtype: string
- name: grounding_specificity_label_type
dtype: string
- name: verifiability
struct:
- name: annotators
sequence: string
- name: labels
sequence: string
- name: verifiability_label
dtype: string
- name: verifiability_label_type
dtype: string
- name: helpfulness
struct:
- name: annotators
sequence: string
- name: labels
sequence: string
- name: helpfulness_label
dtype: string
- name: helpfulness_label_type
dtype: string
splits:
- name: full
num_bytes: 3854198
num_examples: 1430
download_size: 1682108
dataset_size: 3854198
- config_name: context_experiment_with_paper_text
features:
- name: review_point
dtype: string
- name: paper_id
dtype: string
- name: venue
dtype: string
- name: focused_review
dtype: string
- name: batch
dtype: string
- name: actionability
dtype: string
- name: actionability_label
dtype: string
- name: actionability_label_type
dtype: string
- name: id
dtype: string
- name: grounding_specificity
dtype: string
- name: grounding_specificity_label
dtype: string
- name: grounding_specificity_label_type
dtype: string
- name: verifiability
dtype: string
- name: verifiability_label
dtype: string
- name: verifiability_label_type
dtype: string
- name: helpfulness
dtype: string
- name: helpfulness_label
dtype: string
- name: helpfulness_label_type
dtype: string
- name: paper_path
dtype: string
- name: paper_text
dtype: string
- name: paper_word_count
dtype: string
splits:
- name: full
num_bytes: 3545935
num_examples: 100
download_size: 1842203
dataset_size: 3545935
- config_name: grounding_specificity
features:
- name: review_point
dtype: string
- name: paper_id
dtype: string
- name: venue
dtype: string
- name: focused_review
dtype: string
- name: batch
dtype: int64
- name: grounding_specificity
struct:
- name: annotators
sequence: string
- name: labels
sequence: string
- name: grounding_specificity_label
dtype: string
- name: grounding_specificity_label_type
dtype: string
- name: id
dtype: int64
splits:
- name: gold
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num_examples: 572
- name: silver
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num_examples: 671
- name: hard
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num_examples: 188
- name: full
num_bytes: 3421988
num_examples: 1431
download_size: 3400827
dataset_size: 6843976
- config_name: helpfulness
features:
- name: review_point
dtype: string
- name: paper_id
dtype: string
- name: venue
dtype: string
- name: focused_review
dtype: string
- name: batch
dtype: int64
- name: helpfulness
struct:
- name: annotators
sequence: string
- name: labels
sequence: string
- name: helpfulness_label
dtype: string
- name: helpfulness_label_type
dtype: string
- name: id
dtype: int64
splits:
- name: gold
num_bytes: 775527
num_examples: 300
- name: silver
num_bytes: 1924632
num_examples: 811
- name: hard
num_bytes: 720495
num_examples: 319
- name: full
num_bytes: 3420654
num_examples: 1430
download_size: 3387958
dataset_size: 6841308
- config_name: professional_tone
features:
- name: review_point
dtype: string
- name: paper_id
dtype: string
- name: venue
dtype: string
- name: focused_review
dtype: string
- name: batch
dtype: int64
- name: professional_tone
struct:
- name: annotators
sequence: string
- name: labels
sequence: string
- name: professional_tone_label
dtype: string
- name: professional_tone_label_type
dtype: string
- name: id
dtype: int64
splits:
- name: gold
num_bytes: 3357730
num_examples: 1396
- name: silver
num_bytes: 45455
num_examples: 26
- name: full
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num_examples: 1422
download_size: 3316675
dataset_size: 6806370
- config_name: valid_point
features:
- name: review_point
dtype: string
- name: paper_id
dtype: string
- name: venue
dtype: string
- name: focused_review
dtype: string
- name: batch
dtype: int64
- name: valid_point
struct:
- name: annotators
sequence: string
- name: labels
sequence: string
- name: valid_point_label
dtype: string
- name: valid_point_label_type
dtype: string
- name: id
dtype: int64
splits:
- name: gold
num_bytes: 2817466
num_examples: 1184
- name: silver
num_bytes: 456261
num_examples: 198
- name: full
num_bytes: 3273727
num_examples: 1382
download_size: 3214375
dataset_size: 6547454
- config_name: verifiability
features:
- name: review_point
dtype: string
- name: paper_id
dtype: string
- name: venue
dtype: string
- name: focused_review
dtype: string
- name: batch
dtype: int64
- name: verifiability
struct:
- name: annotators
sequence: string
- name: labels
sequence: string
- name: verifiability_label
dtype: string
- name: verifiability_label_type
dtype: string
- name: id
dtype: int64
splits:
- name: gold
num_bytes: 445004
num_examples: 185
- name: silver
num_bytes: 2079105
num_examples: 838
- name: hard
num_bytes: 896599
num_examples: 407
- name: full
num_bytes: 3420708
num_examples: 1430
download_size: 3367607
dataset_size: 6841416
configs:
- config_name: actionability
data_files:
- split: gold
path: actionability/gold-*
- split: silver
path: actionability/silver-*
- split: hard
path: actionability/hard-*
- split: full
path: actionability/full-*
- config_name: addressed_to_author
data_files:
- split: gold
path: addressed_to_author/gold-*
- split: silver
path: addressed_to_author/silver-*
- split: full
path: addressed_to_author/full-*
- config_name: combined_main_aspects
data_files:
- split: full
path: combined_main_aspects/full-*
- config_name: context_experiment_with_paper_text
data_files:
- split: full
path: context_experiment_with_paper_text/full-*
- config_name: grounding_specificity
data_files:
- split: gold
path: grounding_specificity/gold-*
- split: silver
path: grounding_specificity/silver-*
- split: hard
path: grounding_specificity/hard-*
- split: full
path: grounding_specificity/full-*
- config_name: helpfulness
data_files:
- split: gold
path: helpfulness/gold-*
- split: silver
path: helpfulness/silver-*
- split: hard
path: helpfulness/hard-*
- split: full
path: helpfulness/full-*
- config_name: professional_tone
data_files:
- split: gold
path: professional_tone/gold-*
- split: silver
path: professional_tone/silver-*
- split: full
path: professional_tone/full-*
- config_name: valid_point
data_files:
- split: gold
path: valid_point/gold-*
- split: silver
path: valid_point/silver-*
- split: full
path: valid_point/full-*
- config_name: verifiability
data_files:
- split: gold
path: verifiability/gold-*
- split: silver
path: verifiability/silver-*
- split: hard
path: verifiability/hard-*
- split: full
path: verifiability/full-*
license: cc-by-nc-sa-4.0
task_categories:
- text-classification
language:
- en
size_categories:
- 1K<n<10K
RevUtil: Measuring the Utility of Peer Reviews for Authors
📚 Overview
Providing constructive feedback to authors is a key goal of peer review. To support research on evaluating and generating useful peer review comments, we introduce RevUtil, a dataset for measuring the utility of peer review feedback.
RevUtil focuses on four main aspects of review comments:
- Actionability – Can the author act on the comment?
- Grounding & Specificity – Is the comment concrete and tied to the paper?
- Verifiability – Can the statement be checked against the paper?
- Helpfulness – Does the comment assist the author in improving their work?
🧑🔬 RevUtil Human
- 1,430 review comments from real peer reviews.
- Each comment is annotated independently by three human raters.
- Labels are provided as
"gold"(3/3 agreement),"silver"(2/3), or"none"(no agreement).
Key columns:
| Column | Description |
|---|---|
paper_id |
ID of the reviewed paper |
venue |
Conference or journal name |
focused_review |
Full review (weakness + suggestion sections) |
review_point |
Individual review comment being evaluated |
id |
Unique ID for the review point |
batch |
Annotation batch/study identifier |
ASPECT |
Dictionary with annotators and their labels |
ASPECT_label |
Majority label (if available) |
ASPECT_label_type |
"gold", "silver", or "none" |
🚀 Usage
You can load the datasets directly via 🤗 Datasets:
from datasets import load_dataset
# Human annotations
human = load_dataset("boda/RevUtil_human")
# Synthetic annotations
synthetic = load_dataset("boda/RevUtil_synthetic")
📎 Citation
@inproceedings{sadallah-etal-2025-good,
title = "The Good, the Bad and the Constructive: Automatically Measuring Peer Review{'}s Utility for Authors",
author = {Sadallah, Abdelrahman and
Baumg{\"a}rtner, Tim and
Gurevych, Iryna and
Briscoe, Ted},
editor = "Christodoulopoulos, Christos and
Chakraborty, Tanmoy and
Rose, Carolyn and
Peng, Violet",
booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing",
month = nov,
year = "2025",
address = "Suzhou, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.emnlp-main.1476/",
doi = "10.18653/v1/2025.emnlp-main.1476",
pages = "28979--29009",
ISBN = "979-8-89176-332-6"
}