---
task_categories:
- token-classification
language:
- uk
tags:
- legal
pretty_name: uk NER contracts
---

### Dataset Description

Legal Contracts Dataset for Training SpaCy NER Model
This repository contains a specially curated dataset consisting of legal contracts. It is designed for the purpose of training a Named Entity Recognition (NER) model using SpaCy, with the aim to recognize and classify four types of entities in the text:

Contract Type,
Clause Title,
Clause Number,
Definition Title


The dataset includes a broad variety of legal contracts, covering diverse domains such as employment, real estate, services, sale, lease, etc.

Entities in the text have been manually labeled by experts in the field, ensuring high-quality training data for the model.

Each document in the dataset has been annotated in the following format:

(Start_Position, End_Position, Entity_Label)

For example, a clause title may be annotated as follows: (102, 115, 'clause title')

This will assist the NER model in identifying not only the text of the entity, but also its position within the document.

Usage Guidelines
The dataset can be loaded into a SpaCy pipeline for training a NER model. For more information on how to train a NER model using SpaCy, please refer to the SpaCy documentation.