ele-sage/person-names-ner
Dataset Card for Person Full Name NER Parsing This dataset contains 3,383,944 curated and augmented person names, designed specifically for training Token Classification (NER) models. The primary task is to parse a full name string into its FirstName and LastName components, correctly handling multi-word names and different ordering formats. Dataset Details Dataset Description This dataset is built to train robust models that can understand and… See the full description on the dataset page: https://huggingface.co/datasets/ele-sage/person-names-ner.
| Author / organization | ele-sage |
|---|---|
| License (as declared) | mit |
| Downloads | 831 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 9 October 2025 |
| Last updated at source | 9 October 2025 |
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Connected in the knowledge graph
- ele-sage/distilbert-base-uncased-name-splitterModel · used to train
Recent changes
- 16 Oct 2026 Description: Dataset Card for Person Full Name NER Parsing This dataset contains 3,383,944 curated and augmented person names, designed specifically for training Token Classification (NER) models. The primary task is to parse a full name string into its → Dataset Card for Person Full Name NER Parsing This dataset contains 3,383,944 curated and augmented person names, designed specifically for training Token Classification (NER) models. The primary task is to parse a full name string into its
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.