tomaarsen/MultiCoNER
We present MultiCoNER, a large multilingual dataset for Named Entity Recognition that covers 3 domains (Wiki sentences, questions, and search queries) across 11 languages, as well as multilingual and code-mixing subsets. This dataset is designed to represent contemporary challenges in NER, including low-context scenarios (short and uncased text), syntactically complex entities like movie titles, and long-tail entity distributions. The 26M token dataset is compiled from public resources using techniques such as heuristic-based sentence sampling, template extraction and slotting, and machine tra
| Author / organization | tomaarsen |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 360 (as reported by Hugging Face) |
| Likes | 4 |
| Created | 1 October 2023 |
| Last updated at source | 1 October 2023 |
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