Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
json
Languages:
Serbian
Size:
10K - 100K
Tags:
NER
License:
Update README.md
Browse files
README.md
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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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---
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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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pretty_name: SrpELTeC-gold-NER training dataset
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size_categories:
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- 100K<n<1M
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tags:
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- NER
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---
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Preview:
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```python
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ds = dataset["train"][36042]
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for x, y, z in zip(ds["token"], ds["lemma"], ds["ner"]):
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print(x, y, z)
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Setila setiti O
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se se O
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da da O
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je jesam O
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Petrovski Petrovski B-EVENT
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post post I-EVENT
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. . O
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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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