Abu-Sameer-66/SciPeerAI-7B
Text Generation • Updated
Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
World's first multi-dimensional scientific fraud detection benchmark.
No other dataset labels papers across 14 fraud dimensions simultaneously.
| Property | Value |
|---|---|
| Total papers | 644 |
| Fraud papers | 286 |
| Clean papers | 358 |
| Columns | 35 |
| Fraud dimensions | 14 |
| Year range | 1998–2026 |
Every existing fraud dataset does binary labeling — fraud or not fraud.
SciPeerBench labels each paper across 14 dimensions — statistical fraud, figure manipulation, citation rings, LLM detection, and more. Nobody has done this before.
| Category | Count | Description |
|---|---|---|
| CONFIRMED_FRAUD | 286 | PubMed retracted + CrossRef verified |
| CLEAN | 223 | High quality multi-field papers |
| SUSPECTED_FRAUD | 109 | Journal expressions of concern |
| BORDERLINE | 16 | Famous disputed cases |
| BASELINE_ELITE | 10 | Nobel Prize and landmark papers |
| Column | What it detects |
|---|---|
| stat_audit_score | p-hacking, sample size issues |
| figure_forensics_score | image duplication, manipulation |
| methodology_score | causation claims, missing controls |
| citation_score | self-citation rings |
| reproducibility_score | code and data availability |
| novelty_score | incremental vs novel work |
| grim_score | mathematically impossible means |
| sprite_score | impossible distributions |
| granularity_score | Benford law violations |
| pcurve_score | publication bias |
| effect_size_score | inflated effect sizes |
| retraction_score | cited retracted papers |
| cartel_score | citation ring networks |
| llm_score | AI-generated paper detection |
Retracted Publication[pt] — US National Library of Medicineupdate-type:retraction — publisher verified DOI registryExpression of Concern[pt] — journal flagged papersBuilt to train SciPeerAI-7B — world's first scientific integrity LLM.
@dataset{nadeem2026scipeerai_bench,
author = {Nadeem, Sameer},
title = {SciPeerBench: Multi-dimensional Scientific Fraud Detection Benchmark},
year = {2026},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/Abu-Sameer-66/SciPeerBench}
}
CC BY 4.0 — free to use with attribution.