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data/results/.1from datasets import load_dataset
2
3dataset = load_dataset("yenklabs/open-evidence-corpus")| Release | Model | Purpose | Status |
|---|---|---|---|
| v0.1 | Dali Verification Taxonomy Classifier | Predict standardized verification outcome labels | planned |
| v0.2 | Dali Citation Risk Classifier | Estimate citation verification risk from evidence metadata | planned |
| v0.3 | Dali Authority Matching Baseline | Reproducible baseline for authority matching experiments | planned |
| v0.4 | Dali Proposition Support Classifier | Classify proposition support relationships for legal authorities | planned |
| Layer | Status |
|---|---|
| Datasets — Open Evidence Corpus, Citation Benchmark seed sample, Verification Taxonomy | available |
| Full evaluation run — 524 citations on github.com/yenklabs/Dali/data/results | available |
| Models — Taxonomy Classifier, Citation Risk, Authority Matching, Proposition Support | planned |
| Spaces — Evidence Explorer, Benchmark Dashboard, Citation Verification Demo | planned |
| Future datasets — Evaluation Prompts, Replay Corpus, Evidence Artifacts | planned |
Dali is the open verification layer for AI: it creates, scores, and preserves evidence so AI-assisted outputs can be independently verified, exchanged, and replayed.