Datasets:
Commit ·
0209a9a
1
Parent(s): 0beb782
Update README
Browse files
README.md
CHANGED
|
@@ -6,4 +6,30 @@ language:
|
|
| 6 |
tags:
|
| 7 |
- legal
|
| 8 |
pretty_name: uk NER contracts
|
| 9 |
-
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 6 |
tags:
|
| 7 |
- legal
|
| 8 |
pretty_name: uk NER contracts
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
### Dataset Description
|
| 12 |
+
|
| 13 |
+
Legal Contracts Dataset for Training SpaCy NER Model
|
| 14 |
+
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:
|
| 15 |
+
|
| 16 |
+
Contract Type,
|
| 17 |
+
Clause Title,
|
| 18 |
+
Clause Number,
|
| 19 |
+
Definition Title
|
| 20 |
+
|
| 21 |
+
|
| 22 |
+
The dataset includes a broad variety of legal contracts, covering diverse domains such as employment, real estate, services, sale, lease, etc.
|
| 23 |
+
|
| 24 |
+
Entities in the text have been manually labeled by experts in the field, ensuring high-quality training data for the model.
|
| 25 |
+
|
| 26 |
+
Each document in the dataset has been annotated in the following format:
|
| 27 |
+
|
| 28 |
+
(Start_Position, End_Position, Entity_Label)
|
| 29 |
+
|
| 30 |
+
For example, a clause title may be annotated as follows: (102, 115, 'clause title')
|
| 31 |
+
|
| 32 |
+
This will assist the NER model in identifying not only the text of the entity, but also its position within the document.
|
| 33 |
+
|
| 34 |
+
Usage Guidelines
|
| 35 |
+
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.
|