README.md

metadata

license: apache-2.0
task_categories:
  - feature-extraction
  - sentence-similarity
language:
  - zh
tags:
  - sentence-transformers
  - feature-extraction
  - sentence-similarity
  - mteb
  - Health
  - Medicine
  - Treatment
  - Diagnosis
  - Advice
pretty_name: medical information search
size_categories:
  - n<1K

CMedQAv2-reranking-improved Dataset

Dataset Description

The dataset "medical information search" is a generated dataset designed to support the development of domain specific embedding models for retrieval tasks.

Associated Model

This dataset was used to train the CMedQAv2-reranking-improved model.

How to Use

To use this dataset for model training or evaluation, you can load it using the Hugging Face datasets library as follows:

from datasets import load_dataset

dataset = load_dataset("fine-tuned/CMedQAv2-reranking-improved")
print(dataset['test'][0])