Datasets:
File size: 1,528 Bytes
831f0e7 6042cbb b89bcd6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 | ---
dataset_info:
features:
- name: text
dtype: string
- name: summary
dtype: string
splits:
- name: train
num_bytes: 1483542519.7144387
num_examples: 55993
- name: validation
num_bytes: 185439503.0714796
num_examples: 6999
- name: test
num_bytes: 185465998.21408162
num_examples: 7000
download_size: 904301529
dataset_size: 1854448020.9999998
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
task_categories:
- summarization
language:
- en
size_categories:
- 10K<n<100K
---
# LegalSumm: A Comprehensive Legal Document Summarization Dataset
LegalSumm is a merged dataset combining three prominent legal document collections (GovReport, BillSum, and CaseSumm) to create a comprehensive resource for training and evaluating legal text summarisation models.
## Dataset Composition
**Total samples:** 69,992 document-summary pairs
**Sources:**
- GovReport: 19,466 U.S. government reports (27.8%)
- BillSum: 23,455 U.S. Congressional bills (33.5%)
- CaseSumm: 27,071 U.S. Supreme Court opinions (38.7%)
## Features
- **text**: Original legal document (full text)
- **summary**: Human-written summary of the document
## Preprocessing
Documents have been standardized to ensure consistent formatting across different legal document types.
All samples have been randomly shuffled and split into training (80%), validation (10%), and test (10%) sets.
|