Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
parquet
Languages:
Romanian
Size:
10K - 100K
ArXiv:
License:
Update README.md
Browse files
README.md
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size_categories:
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# HistNERo
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This repository contains the Historical Romanian Named Entity Recognition (HistNERo) dataset. The dataset has 10,026 sentences (i.e. 8,020 train, 1,003 valid and 1,003 train) annotated with five named entities: PERSON, ORGANIZATION, LOCATION, PRODUCT and DATE.
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## Loading
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To load the dataset, simply run:
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```Python
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from datasets import load_dataset
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dataset = load_dataset("avramandrei/histnero")
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```
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Each sample respects the following format:
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```json
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{
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"id": "528",
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"ner_tags": [0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 3, 4, 4, 4, 4, 0],
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"tokens": ["maĭ", "incóce", "vidu", "locuitoriĭ", "suburbiilorŭ", ",", "iar", "la", "riul", "Sabiĭului", "de", "càtrâ", "bisericâ", "romanéscâ", "gr.", "unitá", "Mai", "."],
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"doc_id": "Brasov_20-_20Gazeta_20Transilvaniei_201852.ann",
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"region": "Transylvania"
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}
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```
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## Citation
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Work in progress...
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