| --- |
| license: gemma |
| language: |
| - am |
| - en |
| tags: |
| - medical |
| - amharic |
| - question-answering |
| - bilingual |
| pretty_name: Bilingual Amharic-English Medical QA |
| size_categories: |
| - 1K<n<10K |
| task_categories: |
| - question-answering |
| - text-generation |
| --- |
| |
| # Bilingual Amharic–English Medical QA Dataset |
|
|
| A parallel medical question-answering dataset in **Amharic** and **English**, |
| used to fine-tune [`Walelign/Gemma_3_4B`](https://huggingface.co/Walelign/Gemma_3_4B) |
| and its 12B counterpart. |
|
|
| > ⚠️ **Medical content notice.** This dataset contains health information intended |
| > for research and educational use only. It is **not** a substitute for professional |
| > medical advice. |
|
|
| --- |
|
|
| ## Dataset summary |
|
|
| Each row contains a medical question and its answer in **both** English and |
| Amharic (four columns), letting a model learn the same medical facts in two |
| languages. |
|
|
| | | | |
| |---|---| |
| | Number of rows | ~2,300 | |
| | Languages | Amharic (am), English (en) | |
| | Domain | Medical / health | |
| | Format | CSV | |
| | Answer length | Short (1–2 sentences, typical) | |
|
|
| ## Data fields |
|
|
| | Column | Description | |
| |---|---| |
| | `English_question` | The medical question in English | |
| | `English_answer` | The answer in English | |
| | `Amharic_question` | The same question in Amharic | |
| | `Amharic_answer` | The same answer in Amharic | |
|
|
| ## Example row |
|
|
| | Field | Content | |
| |---|---| |
| | `English_question` | What happens if women show syphilis signs early? | |
| | `English_answer` | Syphilis has stages where the earlier stages can be skin lesions, while the later symptoms include complications to organs including the brain and heart. | |
| | `Amharic_question` | _(parallel Amharic translation of the question)_ | |
| | `Amharic_answer` | _(parallel Amharic translation of the answer)_ | |
|
|
| --- |
|
|
| ## How it was used for training |
|
|
| Each row was expanded into **two** training examples (English pair + Amharic |
| pair), so ~2,300 rows produced ~4,600 examples. A 90/10 train/validation split |
| was applied (seed 42), and each example was formatted with the Gemma chat |
| template. |
|
|
| --- |
|
|
| ## Provenance and curation |
|
|
| **Sources.** The question–answer content was compiled from a combination of: |
| public health websites and articles, medical textbooks and clinical guidelines, |
| expert/clinician-written material, and content adapted from an existing medical |
| QA dataset. |
|
|
| **Amharic translation.** The Amharic questions and answers were produced by |
| **professional translation** from the English source content. |
|
|
| **Clinical review.** The medical content was **reviewed by a qualified health |
| professional**. |
|
|
| **Ownership.** The dataset compilation, curation, arrangement, and translation |
| are the joint work of Walelign Tewabe Sewunetie (PhD) and Surafel L. Tilahun (PhD). |
|
|
| ## Limitations and biases |
|
|
| - **Small size.** ~2,300 pairs cover only a limited slice of medical knowledge. |
| - **Coverage gaps.** Topics not represented will be answered poorly by models |
| trained on it. |
| - **Translation quality.** The text was professionally translated, but some |
| specialized terms may still be inconsistent across items. |
| - **Not a clinical reference.** Answers may be simplified, outdated, or incorrect |
| and must not be used for real medical decisions without expert review. |
|
|
| ## Intended use |
|
|
| Training and evaluating bilingual (Amharic/English) medical QA models for |
| research and educational purposes only. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @misc{sewunetie_tilahun_amharic_medqa_dataset, |
| title = {Bilingual Amharic-English Medical QA Dataset}, |
| author = {Sewunetie, Walelign Tewabe and Tilahun, Surafel L.}, |
| year = {2026} |
| } |
| ``` |
|
|
