Download thresholds.json from vectorsense/piiscan: direct link, hf CLI and curl.
- Browser
- Download file 1.26 kB
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https://huggingface.co/vectorsense/piiscan/resolve/main/thresholds.json
- Command line
-
hf download hf://vectorsense/piiscan/thresholds.json
-
curl -L -o thresholds.json https://huggingface.co/vectorsense/piiscan/resolve/main/thresholds.json
1.26 kB
| { | |
| "schema_version": "1.0.0", | |
| "taxonomy_version": "1.0.0", | |
| "default_policy": "balanced", | |
| "calibration_status": "uncalibrated", | |
| "calibration_note": "Scores are raw softmax maxima for model spans and a fixed confidence table for rule spans. They are NOT calibrated probabilities: a span scored 0.90 does not mean it is correct 90% of the time. Per-type calibration is planned, not shipped. Choose a policy by measured precision/recall in models/evaluation.json, not by reading a score as a probability.", | |
| "policies": { | |
| "strict": { | |
| "score_threshold": 0.5, | |
| "intent": "Favour recall. Use when a human reviews every result." | |
| }, | |
| "balanced": { | |
| "score_threshold": 0.75, | |
| "intent": "Default. The published per-type results in evaluation.json are measured at this threshold." | |
| }, | |
| "precision": { | |
| "score_threshold": 0.9, | |
| "intent": "Favour precision. Use when a false positive is more costly than a miss." | |
| } | |
| }, | |
| "per_type_overrides": {}, | |
| "rule_confidence": { | |
| "note": "Deterministic recognizers emit a fixed confidence by evidence strength, not a learned score.", | |
| "checksum_validated": 0.99, | |
| "format_and_context": 0.97, | |
| "format_only": 0.93, | |
| "weak_format_with_context": 0.8 | |
| } | |
| } | |