README.md

---
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"
}
```