metadata

license: apache-2.0
task_categories:
  - feature-extraction
  - sentence-similarity
language:
  - en
tags:
  - sentence-transformers
  - feature-extraction
  - sentence-similarity
  - mteb
  - Medical
  - Nutrition
  - Queries
  - Documents
  - Relevance
pretty_name: medical information retrieval
size_categories:
  - n<1K

NFCorpus-0-0-gpt-4o-2024-05-13-257061 Dataset

Dataset Description

The dataset "medical information retrieval" 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 NFCorpus-0-0-gpt-4o-2024-05-13-257061 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/NFCorpus-0-0-gpt-4o-2024-05-13-257061")
print(dataset['test'][0])