Isotonic/pii-masking-200k
Purpose and Features World's largest open source privacy dataset. The purpose of the dataset is to train models to remove personally identifiable information (PII) from text, especially in the context of AI assistants and LLMs. The example texts have 54 PII classes (types of sensitive data), targeting 229 discussion subjects / use cases split across business, education, psychology and legal fields, and 5 interactions styles (e.g. casual conversation, formal document, emails… See the full description on the dataset page: https://huggingface.co/datasets/Isotonic/pii-masking-200k.
| Author / organization | Isotonic |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 337 (as reported by Hugging Face) |
| Likes | 9 |
| Created | 15 December 2023 |
| Last updated at source | 1 January 2024 |
Popularity, last 3 days
337 now (+93 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- Isotonic/distilbert-base-german-cased_finetuned_ai4privacy_v2Model · used to train
- Isotonic/distilbert_finetuned_ai4privacy_v2Model · used to train
- Isotonic/deberta-v3-base_finetuned_ai4privacy_v2Model · used to train
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