Vidhaan/LegalCitationWorthiness

A novel dataset for benchmarking citation worthiness detection task in the American Legal Corpus. For more details about the dataset please refer to the original paper.

Data Fields

• File Name: the case file to which the sentence belongs.
• Sentence Number: The sentence number as present in the document.
• Sentence: The naturally occurring sentence in the text (after preprocessing/removing citation span.)
• Label: Integer value of ‘0’ or ‘1’. ‘0’ represents that the sentence is not citation worthy whereas ‘1’ represents that the sentence is citation worthy.

Data Splits

Split	#datapoints
Train-Small	800,000
Validation-Small	100,000
Test-Small	100,000
Train-Medium	8,000,000
Validation-Medium	1,000,000
Test-Medium	1,000,000
Train-Large	142,588,927
Validation-Large	17,934,940
Test-Large	17,935,336

Small Dataset

from datasets import load_dataset

# get small dataset
dataset = load_dataset("Vidhaan/LegalCitationWorthiness", "small")

Medium Dataset

from datasets import load_dataset

# get medium dataset
dataset = load_dataset("Vidhaan/LegalCitationWorthiness", "medium")

Large Dataset

from datasets import load_dataset

# get large dataset
dataset = load_dataset("Vidhaan/LegalCitationWorthiness", "large")

Citation Information

Contributions

Thanks to @PritishWadhwa, @gitongithub, @khatrimann, @reshma, @dhumketu for adding this dataset