| --- |
| language: |
| - es |
| license: mit |
| task_categories: |
| - text-generation |
| - conversational |
| tags: |
| - medical |
| - healthcare |
| - nursing-home |
| - fine-tuning |
| - sft |
| size_categories: |
| - n<1K |
| --- |
| |
| # ResiPlus Vector Dataset |
|
|
| Semantic search optimization dataset for medical documents. Expands queries with medical synonyms and generates Qdrant filters for document retrieval. |
|
|
| ## Dataset Details |
|
|
| - **Examples:** 400 |
| - **Language:** Spanish (es) |
| - **Format:** Chat messages (system, user, assistant) |
| - **Use Case:** Fine-tuning LLMs for nursing home management system |
|
|
| ## Usage |
|
|
| ```python |
| from datasets import load_dataset |
| |
| dataset = load_dataset("Alejandro284/resiplus-vector-dataset") |
| ``` |
|
|
| ## Training with HF Skills |
|
|
| ``` |
| Fine-tune Qwen/Qwen2.5-0.5B on Alejandro284/resiplus-vector-dataset |
| for medical intent classification. Use SFT method. 5 epochs. |
| ``` |
|
|
| ## Part of ResiPlus AI |
|
|
| This dataset is part of the ResiPlus AI agentic system for nursing home management: |
|
|
| 1. **Router Agent** - Intent classification |
| 2. **SQL Agent** - Database query generation |
| 3. **Vector Agent** - Semantic search optimization |
| 4. **Synthesis Agent** - Response generation |
|
|
| ## License |
|
|
| MIT License |
|
|
