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Alejandro284/resiplus-router-dataset

ResiPlus Router Dataset Intent classification dataset for medical queries in nursing homes. Classifies user queries into intents and determines which agents to invoke (SQL, Vector, or both). Dataset Details Examples: 300 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 =… See the full description on the dataset page: https://huggingface.co/datasets/Alejandro284/resiplus-router-dataset.

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Dataset Card

ResiPlus Router Dataset

Intent classification dataset for medical queries in nursing homes. Classifies user queries into intents and determines which agents to invoke (SQL, Vector, or both).

Dataset Details

  • —Examples: 300
  • —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-router-dataset")

Training with HF Skills

Fine-tune Qwen/Qwen2.5-0.5B on Alejandro284/resiplus-router-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. 1.Router Agent - Intent classification
  2. 2.SQL Agent - Database query generation
  3. 3.Vector Agent - Semantic search optimization
  4. 4.Synthesis Agent - Response generation

License

MIT License