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---
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:
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num_bytes: 20746554.315389965
num_examples: 1000
- name: val
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num_examples: 1000
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- config_name: sc
features:
- name: opinion
dtype: string
- name: instruction
dtype: string
- name: question
dtype: string
- name: choices
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- name: answer
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- name: task
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- name: val
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- config_name: songer
features:
- name: opinion
dtype: string
- name: instruction
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- name: question
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- name: choices
sequence: string
- name: answer
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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](https://huggingface.co/datasets/ricdomolm/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.
Homepage: https://github.com/socialfoundations/lawma |