Dataset · Text generation
syed-med-medical-qa-synthetic-4k
by Syed Masood Haji Ahmedyaseen zaiath/syed-med-medical-qa-synthetic-4k
Locally generated synthetic medical question/answer rows, produced with a local DeepSeek-R1 model (via Ollama, $0, no API calls) and used — together with 7 public datasets — to fine-tune 3,002 + 801 + 401 = 4,204 rows — the synthetic share of the 196,846-row…
Dataset Card
Locally generated synthetic medical question/answer rows, produced with a local DeepSeek-R1 model (via Ollama, $0, no API calls) and used — together with 7 public datasets — to fine-tune 3,002 + 801 + 401 = 4,204 rows — the synthetic share of the 196,846-row SFT set. Every row is one JSON object using one template — the same one the model was trained on (there is no separate system/schema to guess): Whitespace is normalised. Rows carry no end-of-turn token on purpose: the model was trained to stop at the next ### marker and the demo app enforces that too. 1. a topic matrix (condition × country × age group) drove a local DeepSeek-R1 model; 2. every row was validated (template match…
Excerpt from the card by Syed Masood Haji Ahmedyaseen, licensed other.
Structure
default 4,204 rows
| Split | Rows | Size |
|---|---|---|
| train | 4,204 | 3.0 MB |
Details
- Repository
- zaiath/syed-med-medical-qa-synthetic-4k
- Publisher
- Syed Masood Haji Ahmedyaseen
- Task category
- Text generation
- Tags
- medical, synthetic, sft
- Size category
- 1K<n<10K
- Languages
- en
- Revision
- df80611f7cdfd1b60d5e82a13d72eecb4f8f0e19
- Last updated
- 2026-10-01
Files
5 files, 3.3 MB in total.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| clinical_reasoning.jsonl | Data | 875.3 KB | — |
| patient_qa.jsonl | Data | 2.2 MB | — |
| safety.jsonl | Data | 259.6 KB | — |
| README.md | Documentation | 3.4 KB | — |
| .gitattributes | Repository | 2.5 KB | — |
License and Download
- License
- other
- Access
- No access gate
Released by Syed Masood Haji Ahmedyaseen through its official repository on Hugging Face.