metadata
dataset_info:
- config_name: 1k
features:
- name: opinion
dtype: string
- name: instruction
dtype: string
- name: question
dtype: string
- name: choices
sequence: string
- name: answer
sequence: int64
- name: task
dtype: string
splits:
- name: test
num_bytes: 20746554.315389965
num_examples: 1000
- name: val
num_bytes: 20191583.272299055
num_examples: 1000
download_size: 33445966
dataset_size: 40938137.58768902
- config_name: sc
features:
- name: opinion
dtype: string
- name: instruction
dtype: string
- name: question
dtype: string
- name: choices
sequence: string
- name: answer
sequence: int64
- name: task
dtype: string
splits:
- name: test
num_bytes: 124966347
num_examples: 5000
- name: val
num_bytes: 125253167
num_examples: 5000
download_size: 138383906
dataset_size: 250219514
- config_name: songer
features:
- name: opinion
dtype: string
- name: instruction
dtype: string
- name: question
dtype: string
- name: choices
sequence: string
- name: answer
sequence: int64
- name: task
dtype: string
splits:
- name: test
num_bytes: 82357950
num_examples: 5000
- name: val
num_bytes: 79866000
num_examples: 5000
download_size: 94738667
dataset_size: 162223950
configs:
- config_name: 1k
data_files:
- split: val
path: 1k/val-*
- split: test
path: 1k/test-*
- config_name: sc
data_files:
- split: val
path: sc/val-*
- split: test
path: sc/test-*
- config_name: songer
data_files:
- split: val
path: songer/val-*
- split: test
path: songer/test-*
CaselawQA is a benchmark comprising legal classification tasks, drawing from the Supreme Court and Songer Court of Appeals legal databases. The majority of its 10,000 questions are multiple-choice, with 5,000 sourced from each database. The questions are randomly selected from the test sets of the Lawma tasks. From a technical machine learning perspective, these tasks provide highly non-trivial classification problems where even the best models leave much room for improvement. From a substantive legal perspective, efficient solutions to such classification problems have rich and important applications in legal research.