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| license: mit | |
| task_categories: | |
| - text-classification | |
| - fact-checking | |
| language: | |
| - en | |
| tags: | |
| - citation-verification | |
| - hallucination-detection | |
| - scientific-integrity | |
| - bayesian-scoring | |
| - reference-checking | |
| size_categories: | |
| - 10K<n<100K | |
| # IntegriRef-Bench | |
| Benchmark dataset for multi-level reference integrity verification, accompanying the IntegriRef framework. | |
| ## Dataset Splits | |
| | Split | Rows | Description | | |
| |-------|------|-------------| | |
| | `reference_verification` | 1,926 | Golden benchmark + crawled verification cases (hallucinated, real, chimera, retracted) | | |
| | `signal_unit_tests` | 403 | Per-signal unit tests for 14 Bayesian signal types | | |
| | `l1_intent` | 20 | Citation intent classification test pairs | | |
| | `l2_nli` | 20 | Claim-evidence NLI alignment test pairs | | |
| | `graph_anomaly` | 3,030 | Citation graph anomaly cases (rings, temporal, orphan clusters) | | |
| | `retracted_papers` | 6,391 | Retracted papers from Crossref + PubMed with real controls | | |
| | **Total** | **11,790** | | | |
| ## Usage | |
| ```python | |
| from datasets import load_dataset | |
| ds = load_dataset("Geoffrey-Wang/IntegriRef-Bench") | |
| # Or load a specific split | |
| ref_ver = load_dataset("Geoffrey-Wang/IntegriRef-Bench", data_files="reference_verification.jsonl") | |
| ``` | |
| ## Sources | |
| - **Retracted papers**: Crossref `update-to` retraction markers + PubMed retraction notices | |
| - **Hallucinated references**: Programmatically generated with verified non-existence | |
| - **Chimera references**: Real DOIs paired with swapped metadata | |
| - **Graph anomaly cases**: Documented citation cartels (Brazilian 2009-2013, Ji-Huan He, IOP 2024) | |
| - **Temporal anomalies**: OpenAlex citation graph analysis | |
| - **Statistical cases**: GRIM test + statcheck from PMC Open Access full texts | |
| ## Citation | |
| ```bibtex | |
| @inproceedings{integriref2026, | |
| title={IntegriRef: A Five-Layer Bayesian Framework for Cross-Domain Reference Integrity Verification}, | |
| author={Anonymous}, | |
| booktitle={KnowFM Workshop at ACL}, | |
| year={2026} | |
| } | |
| ``` | |
| ## License | |
| MIT | |