Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
named-entity-recognition
Languages:
Romanian
Size:
1K - 10K
License:
File size: 3,124 Bytes
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language:
- ro
license: cc-by-4.0
task_categories:
- token-classification
task_ids:
- named-entity-recognition
tags:
- ner
- romanian
- biomedical
- simonero
configs:
- config_name: default
data_files:
- split: train
path: train.parquet
- split: validation
path: validation.parquet
- split: test
path: test.parquet
dataset_info:
features:
- name: id
dtype: int32
- name: tokens
sequence: string
- name: ner_tags
sequence:
class_label:
names:
'0': O
'1': B-ANAT
'2': B-CHEM
'3': B-DISO
'4': B-PROC
'5': I-ANAT
'6': I-CHEM
'7': I-DISO
'8': I-PROC
splits:
- name: train
num_examples: 3747
- name: validation
num_examples: 443
- name: test
num_examples: 491
---
# SiMoNERo
Romanian biomedical Named Entity Recognition dataset, converted to HuggingFace format.
Entity types: **ANAT** (body parts), **CHEM** (chemicals & drugs), **DISO** (disorders), **PROC** (procedures).
## Splits
| Split | Sentences |
|-------|-----------|
| train | 3,747 |
| validation | 443 |
| test | 491 |
## NER Tags
| ID | Tag |
|----|-----|
| 0 | `O` |
| 1 | `B-ANAT` |
| 2 | `B-CHEM` |
| 3 | `B-DISO` |
| 4 | `B-PROC` |
| 5 | `I-ANAT` |
| 6 | `I-CHEM` |
| 7 | `I-DISO` |
| 8 | `I-PROC` |
## Usage
```python
from datasets import load_dataset
ds = load_dataset("xd-br0/SiMoNERo")
print(ds["train"][0])
print(ds["train"].features["ner_tags"].feature.names)
# ['O', 'B-ANAT', 'B-CHEM', 'B-DISO', 'B-PROC', 'I-ANAT', 'I-CHEM', 'I-DISO', 'I-PROC']
```
## Citation
```bibtex
@inproceedings{mititelu-mitrofan-2020-simonero,
title = "The {R}omanian Medical Treebank -- {SiMoNERo}",
author = "Mititelu, Verginica Barbu and Mitrofan, Maria",
booktitle = "Proceedings of the 15th International Conference on Linguistic
Resources and Tools for Natural Language Processing (ConsILR-2020)",
year = "2020",
pages = "7--16",
ISSN = "1843-911X"
}
@inproceedings{mitrofan-etal-2019-monero,
title = "{M}o{NER}o: a Biomedical Gold Standard Corpus for the {R}omanian Language",
author = "Mitrofan, Maria and Barbu Mititelu, Verginica and Mitrofan, Grigorina",
booktitle = "Proceedings of the 18th BioNLP Workshop and Shared Task",
month = aug,
year = "2019",
address = "Florence, Italy",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W19-5008/",
pages = "71--79"
}
@inproceedings{mitrofan-pais-2022-improving,
title = "Improving {R}omanian {B}io{NER} Using a Biologically Inspired System",
author = "Mitrofan, Maria and Pais, Vasile",
booktitle = "Proceedings of the 21st Workshop on Biomedical Language Processing",
month = may,
year = "2022",
address = "Dublin, Ireland",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.bionlp-1.30/",
doi = "10.18653/v1/2022.bionlp-1.30",
pages = "316--322"
}
```
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