Data · dataset · 2026
ICLR 2024 and 2025 Human–AI Parallel Review Dataset
Listed in ScienceDB
The ICLR 2024 and 2025 Human-AI Parallel Review Dataset is a peer review empirical analysis dataset constructed based on publicly available review data from the OpenReview platform.
Description
This dataset covers the ICLR 2024 and ICLR 2025 conferences, with a total of 1186 paper samples, including 586 accepted papers and 600 rejected papers. The dataset integrates 4655 human review comments and generates 18677 AI review comments based on four mainstream language models: Claude Sonnet 4.5, GPT 5.2 Thinking, Gemini 3 Pro review, and DeepSeek V3.2, forming a parallel review corpus for the same paper between human reviewers and multi model AI reviewers.
The dataset contains information on paper acceptance results, acceptance levels, review scores, review confidence, human review texts, and AI review texts.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.j00133.00711 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Computer Science & AI · Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.j00133.00711 | 7 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |