Update README.md

README.md

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----
-license: cc-by-4.0
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+---
+license: cc-by-4.0
+task_categories:
+- text-classification
+language:
+- en
+tags:
+- scientific-integrity
+- fraud-detection
+- peer-review
+- research-ethics
+- benchmark
+size_categories:
+- n<1K
+---
+
+# SciPeerBench v1.1
+
+**World's first multi-dimensional scientific fraud detection benchmark.**
+
+No other dataset labels papers across 14 fraud dimensions simultaneously.
+
+## Stats
+
+| Property | Value |
+|----------|-------|
+| Total papers | 644 |
+| Fraud papers | 286 |
+| Clean papers | 358 |
+| Columns | 35 |
+| Fraud dimensions | 14 |
+| Year range | 1998–2026 |
+
+## Why This Dataset is Unique
+
+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.
+
+## Categories
+
+| 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 |
+
+## 14 Fraud Dimensions Per Paper
+
+| 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 |
+
+## Famous Fraud Cases Included
+
+- **Wakefield 1998** (The Lancet) — vaccines-autism data fabrication
+- **LaCour 2014** (Science) — survey data never existed
+- **Obokata 2014** (Nature) — STAP cells image manipulation
+- **Stapel** — 58 psychology papers fabricated over 10 years
+
+## Data Sources
+
+- PubMed `Retracted Publication[pt]` — US National Library of Medicine
+- CrossRef `update-type:retraction` — publisher verified DOI registry
+- PubMed `Expression of Concern[pt]` — journal flagged papers
+- Manual curation — court and media verified fraud cases
+
+## Associated Project
+
+Built to train **SciPeerAI-7B** — world's first scientific integrity LLM.
+
+- Live demo: https://scipeerai-ui.vercel.app
+- API: https://web-production-f526d.up.railway.app/docs
+- GitHub: https://github.com/Abu-Sameer-66/SciPeerAI
+
+## Citation
+
+```bibtex
+@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}
+}
+```
+
+## License
+
+CC BY 4.0 — free to use with attribution.