README.md

metadata

license: apache-2.0
task_categories:
  - feature-extraction
  - sentence-similarity
language:
  - en
tags:
  - sentence-transformers
  - feature-extraction
  - sentence-similarity
  - mteb
  - Product
  - Supplier
  - Commerce
  - Information
  - Contact
pretty_name: general domain
size_categories:
  - n<1K

jinaai_jina-embeddings-v2-base-en-6132024-bez1-webapp Dataset

Dataset Description

The dataset "general domain" 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 jinaai_jina-embeddings-v2-base-en-6132024-bez1-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:

from datasets import load_dataset

dataset = load_dataset("fine-tuned/jinaai_jina-embeddings-v2-base-en-6132024-bez1-webapp")
print(dataset['test'][0])