E3-JSI/synthetic-multi-pii-ner-v1
Synthetic Multilingual PII NER Dataset Models Trained Using this Dataset E3-JSI/gliner-multi-pii-domains-v1 Description This is a synthetic dataset created for the purposes for training multilingual personally identifiable information (PII) named entity recognition (NER) models. The examples were generated using a prompt that generates the text and the entities present in the text. In addition, the generated response had to follow the… See the full description on the dataset page: https://huggingface.co/datasets/E3-JSI/synthetic-multi-pii-ner-v1.
| Author / organization | E3-JSI |
|---|---|
| License (as declared) | mit |
| Downloads | 294 (as reported by Hugging Face) |
| Likes | 7 |
| Created | 27 September 2024 |
| Last updated at source | 28 November 2024 |
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294 now (+2 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- E3-JSI/gliner-multi-pii-domains-v1Model · used to train
Recent changes
- 16 Oct 2026 Description: Synthetic Multilingual PII NER Dataset Models Trained Using this Dataset E3-JSI/gliner-multi-pii-domains-v1 Description This is a synthetic dataset created for the purposes for training multilingual personally identifiable information (PII) → Synthetic Multilingual PII NER Dataset Models Trained Using this Dataset E3-JSI/gliner-multi-pii-domains-v1 Description This is a synthetic dataset created for the purposes for training multilingual personally identifiable information (PII)
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