fine-tuned/jina-embeddings-v2-base-en-5102024-kvgq-webapp

--- license: apache-2.0 task_categories: - feature-extraction - sentence-similarity language: - en tags: - sentence-transformers - feature-extraction - sentence-similarity - mteb - Database - Data - SQL - Query - Analysis pretty_name: database search for structured data size_categories: - n<1K --- # jina-embeddings-v2-base-en-5102024-kvgq-webapp Dataset ## Dataset Description The dataset "database search for structured data" 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 [**jina-embeddings-v2-base-en-5102024-kvgq-webapp**](https://huggingface.co/fine-tuned/jina-embeddings-v2-base-en-5102024-kvgq-webapp) 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/jina-embeddings-v2-base-en-5102024-kvgq-webapp") print(dataset['test'][0]) ```The dataset database search for structured data is a generated dataset designed to support the development of domain specific embedding models for retrieval tasks.

原始信息汇总

数据集概述

数据集名称

• 名称: database search for structured data

数据集描述

• 描述: 该数据集是为支持特定领域嵌入模型开发而设计的生成数据集，用于检索任务。

语言

• 语言: 英语 (en)

任务类别

• 任务类别:
  • 特征提取 (feature-extraction)
  • 句子相似度 (sentence-similarity)

数据集大小

• 大小: 小于1000条记录 (n<1K)

关联模型

• 关联模型: jina-embeddings-v2-base-en-5102024-kvgq-webapp

使用方法

• 使用方法: 通过Hugging Face的datasets库加载数据集，示例代码如下： python from datasets import load_dataset

  dataset = load_dataset("fine-tuned/jina-embeddings-v2-base-en-5102024-kvgq-webapp") print(dataset[test][0])