---
language:
  - en
  - bg
license: cc-by-4.0
task_categories:
  - translation
  - text-generation
tags:
  - medical
  - clinical
  - discharge-summaries
  - parallel-corpus
  - synthetic
  - bulgarian
  - english
  - biomedical
pretty_name: BGSynthMedic
size_categories:
  - 100<n<1K
---

# BGSynthMedic: Synthetic Parallel English–Bulgarian Discharge Summary Corpus

Parallel corpus of 450 synthetic discharge summaries in English and Bulgarian, covering 9 medical conditions across 4 specialties.

The English documents originate from [SynthMedic](https://huggingface.co/datasets/grazh/synth-medic) and were automatically translated into Bulgarian and validated. The dataset is intended for research in clinical NLP, machine translation, and cross-lingual entity linking for low-resource languages.

## Dataset Details

| Split | Documents |
|-------|----------:|
| train | 450       |

### Covered Specialties and Conditions

| Specialty | Condition |
|-----------|-----------|
| Cardiovascular | Arterial hypertension |
| Endocrinology | Hypothyroidism |
| Endocrinology | Type 1 diabetes |
| Endocrinology | Type 2 diabetes |
| Infectious diseases | Influenza |
| Neurology | Intracerebral hemorrhage |
| Neurology | Ischemic stroke |
| Traumatology | Ankle fractures |
| Traumatology | Distal humeral fractures |

50 documents per condition.

## Dataset Structure

```python
{
  "document_id":          "cardiovascular_arterial hypertension_0",
  "discharge_summary_en": "...",   # English discharge summary
  "discharge_summary_bg": "...",   # Bulgarian translation
}
```

### Fields

- **document_id** (`string`): Unique identifier encoding specialty, condition, and document index (e.g. `neurology_ischemic stroke_12`).
- **discharge_summary_en** (`string`): Synthetic English discharge summary generated by GPT-4.
- **discharge_summary_bg** (`string`): Bulgarian translation produced by BGGpt.

## Usage

```python
from datasets import load_dataset

ds = load_dataset("username/bgsynthmedic")
print(ds["train"][0])
```

## Source Data

English texts are derived from [SynthMedic](https://huggingface.co/datasets/grazh/synth-medic), a dataset of GPT-4-generated synthetic discharge summaries.
Bulgarian translations were produced using BGGpt and reviewed for quality.

## Citation

If you use this dataset, please cite:

```bibtex
@inproceedings{boytcheva2026bgsynthmedic,
  title     = {{BGSynthMedic}: Synthetic parallel {English}-{Bulgarian} discharge summary corpus with automatic annotations},
  author    = {Boytcheva, Svetla and Vassileva, Svetlana and Boytchev, Pavel},
  booktitle = {Proceedings of the International Conference on Computational Linguistics in Bulgaria (CLIB 2026)},
  year      = {2026}
}
```

## License

[Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/)