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Dataset Card for Multi-LexSum
Talk @ NeurIPS 2022
Dataset Summary
The Multi-LexSum dataset is a collection of 9,280 such legal case summaries. Multi-LexSum is distinct from other datasets in its multiple target summaries, each at a different granularity (ranging from one-sentence “extreme” summaries to multi-paragraph narrations of over five hundred words). It presents a challenging multi-document summarization task given the long length of the source documents, often exceeding two hundred pages per case. Unlike other summarization datasets that are (semi-)automatically curated, Multi-LexSum consists of expert-authored summaries: the experts—lawyers and law students—are trained to follow carefully created guidelines, and their work is reviewed by an additional expert to ensure quality.
Languages
English
Dataset
Data Fields
The dataset contains a list of instances (cases); each instance contains the following data:
Field | Description |
---|---|
id | (str) The case ID |
sources | (List[str]) A list of strings for the text extracted from the source documents |
summary/long | (str) The long (multi-paragraph) summary for this case |
summary/short | (Optional[str]) The short (one-paragraph) summary for this case |
summary/tiny | (Optional[str]) The tiny (one-sentence) summary for this case |
Please check the exemplar usage below for loading the data:
from datasets import load_dataset
multi_lexsum = load_dataset("allenai/multi_lexsum", name="v20230518")
# Download multi_lexsum locally and load it as a Dataset object
example = multi_lexsum["validation"][0] # The first instance of the dev set
example["sources"] # A list of source document text for the case
for sum_len in ["long", "short", "tiny"]:
print(example["summary/" + sum_len]) # Summaries of three lengths
print(example['case_metadata']) # The corresponding metadata for a case in a dict
Data Splits
Instances | Source Documents (D) | Long Summaries (L) | Short Summaries (S) | Tiny Summaries (T) | Total Summaries | |
---|---|---|---|---|---|---|
Train (70%) | 3,177 | 28,557 | 3,177 | 2,210 | 1,130 | 6,517 |
Test (20%) | 908 | 7,428 | 908 | 616 | 312 | 1,836 |
Dev (10%) | 454 | 4,134 | 454 | 312 | 161 | 927 |
Dataset Sheet (Datasheet)
Please check our dataset sheet for details regarding dataset creation, source data, annotation, and considerations for the usage.
Additional Information
Dataset Curators
The dataset is created by the collaboration between Civil Rights Litigation Clearinghouse (CRLC, from University of Michigan) and Allen Institute for AI. Multi-LexSum builds on the dataset used and posted by the Clearinghouse to inform the public about civil rights litigation.
Licensing Information
The Multi-LexSum dataset is distributed under the Open Data Commons Attribution License (ODC-By). The case summaries and metadata are licensed under the Creative Commons Attribution License (CC BY-NC), and the source documents are already in the public domain. Commercial users who desire a license for summaries and metadata can contact info@clearinghouse.net, which will allow free use but limit summary re-posting. The corresponding code for downloading and loading the dataset is licensed under the Apache License 2.0.
Citation Information
@article{Shen2022MultiLexSum,
author = {Zejiang Shen and
Kyle Lo and
Lauren Yu and
Nathan Dahlberg and
Margo Schlanger and
Doug Downey},
title = {Multi-LexSum: Real-World Summaries of Civil Rights Lawsuits at Multiple Granularities},
journal = {CoRR},
volume = {abs/2206.10883},
year = {2022},****
url = {https://doi.org/10.48550/arXiv.2206.10883},
doi = {10.48550/arXiv.2206.10883}
}
Release History
Version | Description |
---|---|
v20230518 |
The v1.1 release including case and source document metadata |
v20220616 |
The initial v1.0 release |
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