Datasets:

Alejandro284
/

resiplus-vector-dataset

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

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:

Router Agent - Intent classification
SQL Agent - Database query generation
Vector Agent - Semantic search optimization
Synthesis Agent - Response generation

License

MIT License