fine-tuned/NFCorpus-256-24-gpt-4o-2024-05-13-456029

--- 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-256-24-gpt-4o-2024-05-13-456029 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-256-24-gpt-4o-2024-05-13-456029**](https://huggingface.co/fine-tuned/NFCorpus-256-24-gpt-4o-2024-05-13-456029) 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: ```python from datasets import load_dataset dataset = load_dataset("fine-tuned/NFCorpus-256-24-gpt-4o-2024-05-13-456029") print(dataset['test'][0]) ```

原始信息汇总

数据集概述

数据集名称

• 名称: medical information retrieval
• 别名: NFCorpus-256-24-gpt-4o-2024-05-13-456029

数据集描述

• 目的: 用于支持特定领域嵌入模型的发展，特别是用于检索任务。

数据集属性

• 语言: 英语 (en)
• 任务类别:
  • 特征提取 (feature-extraction)
  • 句子相似性 (sentence-similarity)
• 标签:
  • sentence-transformers
  • feature-extraction
  • sentence-similarity
  • mteb
  • Medical
  • Nutrition
  • Queries
  • Documents
  • Relevance
• 大小类别: n<1K

相关模型

• 模型名称: NFCorpus-256-24-gpt-4o-2024-05-13-456029
• 用途: 该数据集用于训练此模型。

使用方法

• 加载方式: 使用Hugging Face datasets 库加载数据集。 python from datasets import load_dataset

  dataset = load_dataset("fine-tuned/NFCorpus-256-24-gpt-4o-2024-05-13-456029") print(dataset[test][0])