Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
named-entity-recognition
Languages:
Ukrainian
Size:
1K - 10K
Commit
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Parent(s):
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README.md
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pretty_name: UK-NER-contracts
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language:
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- uk
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pretty_name: UK-NER-contracts
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---
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### Dataset Description
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Legal Contracts Dataset for Training NER Model
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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, with the aim to recognize and classify four types of entities in the text:
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Contract Type,
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Clause Title,
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Clause Number,
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Definition Title
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The dataset includes a broad variety of legal contracts, covering diverse domains such as employment, real estate, services, sale, lease, etc.
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Entities in the text have been manually labeled by experts in the field, ensuring high-quality training data for the model.
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Each document in the dataset has been annotated in the following format:
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(Start_Position, End_Position, Entity_Label)
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For example, a clause title may be annotated as follows: (102, 115, 'clause title')
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This will assist the NER model in identifying not only the text of the entity, but also its position within the document.
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Usage Guidelines
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