Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
json
Languages:
Serbian
Size:
10K - 100K
Tags:
NER
License:
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README.md
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license: cc-by-sa-4.0
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---
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---
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license: cc-by-sa-4.0
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task_categories:
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- token-classification
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language:
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- sr
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pretty_name: SrpELTeC-gold-NER training dataset
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size_categories:
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- 100K<n<1M
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Named Entity Recognition Training corpus for Serbian – The selection of 11 full novels and excerpts from 15 novels from Serbian literary corpus of novels written more than a century ago, have been automatically labelled with SrpNER system for Serbian in the first stage of the gold standard preparation. Contains 330.119 tokens, 7 classes: person, organization, location, event, work, demonym, role.
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It is constituted of a single jsonl file that can be loaded via:
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```python
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from datasets import load_dataset
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dataset = load_dataset("jerteh/SrpELTeC-gold-NER")
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```
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Preview:
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```python
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```
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Citation:
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```bibtex
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@inproceedings{frontini2020named,
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title={Named entity recognition for distant reading in ELTeC},
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author={Frontini, Francesca and Brando, Carmen and Byszuk, Joanna and Galleron, Ioana and Santos, Diana and Stankovi{\'c}, Ranka},
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booktitle={CLARIN Annual Conference 2020},
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year={2020}
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}
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```
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