Datasets:
Tasks:
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Sub-tasks:
named-entity-recognition
Size:
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License:
Update README.md
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README.md
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# Dataset Card for "swissner"
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size_categories:
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---
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# SwissNER
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A multilingual test set for named entity recognition (NER) on Swiss news articles.
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## Description
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SwissNER is a dataset for named entity recognition based on manually annotated news articles in Swiss Standard German, French, Italian, and Romansh Grischun.
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We have manually annotated a selection of articles that have been published in February 2023 in the categories "Switzerland" or "Regional" on the following online news portals:
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- Swiss Standard German: [srf.ch](https://www.srf.ch/)
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- French: [rts.ch](https://www.rts.ch/)
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- Italian: [rsi.ch](https://www.rsi.ch/)
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- Romansh Grischun: [rtr.ch](https://www.rtr.ch/)
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For each article we extracted the first two paragraphs after the lead paragraph.
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We followed the guidelines of the CoNLL-2002 and 2003 shared tasks and annotated the names of persons, organizations, locations and miscellaneous entities.
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The annotation was performed by a single annotator.
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## License
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- Text paragraphs: © Swiss Broadcasting Corporation (SRG SSR)
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- Annotations: Attribution 4.0 International (CC BY 4.0)
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## Statistics
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| | DE | FR | IT | RM | Total |
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|----------------------|-----:|------:|------:|------:|------:|
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| Number of paragraphs | 200 | 200 | 200 | 200 | 800 |
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| Number of tokens | 9498 | 11434 | 12423 | 13356 | 46711 |
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| Number of entities | 479 | 475 | 556 | 591 | 2101 |
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| – `PER` | 104 | 92 | 93 | 118 | 407 |
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| – `ORG` | 193 | 216 | 266 | 227 | 902 |
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| – `LOC` | 182 | 167 | 197 | 246 | 792 |
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| – `MISC` | 113 | 79 | 88 | 39 | 319 |
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