ai4privacy/openpii-masking-mini-10k
OpenPII Masking Mini 10K A compact, stratified subset of ai4privacy/pii-masking-openpii-1m, containing 10,000 samples for rapid experimentation, fine-tuning, and benchmarking of PII detection and masking models. Sampling Methodology Samples were selected using proportional stratified sampling by language: Target count per language = round(lang_proportion × 10,000) — proportional representation. Streaming + reservoir sampling collected 3× the target candidates per… See the full description on the dataset page: https://huggingface.co/datasets/ai4privacy/openpii-masking-mini-10k.
| Author / organization | ai4privacy |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 136 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 3 April 2026 |
| Last updated at source | 4 April 2026 |
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