metadata

license: apache-2.0
task_categories:
  - feature-extraction
  - sentence-similarity
language:
  - en
tags:
  - sentence-transformers
  - feature-extraction
  - sentence-similarity
  - mteb
  - Law
  - Court
  - Judgment
  - Torts
  - Evidence
pretty_name: legal case document search
size_categories:
  - n<1K

jina-embeddings-v2-base-en-17052024-uhub-webapp Dataset

Dataset Description

The dataset "legal case document 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 jina-embeddings-v2-base-en-17052024-uhub-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/jina-embeddings-v2-base-en-17052024-uhub-webapp")
print(dataset['test'][0])