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The appeal from the reassessment dated October 29, 2018 made under the Income Tax Act for the 2017 taxation year is allowed, without costs, and the reassessment is vacated in accordance with the attached reasons for judgment. Signed at Ottawa, Canada, this 14th day of July 2020. David E. Spiro Spiro J.
INSTRUCTIONS: Indicate whether the following judgment excerpt from a Tax Court of Canada decision allows the appeal or dismisses the appeal. Where the result is mixed, indicate that the appeal was allowed. Ignore costs orders. Where the outcome is unclear indicate other. Options: allowed, dismissed, other JUDGMENT EXCERPT: The appeal from the reassessment dated October 29, 2018 made under the Income Tax Act for the 2017 taxation year is allowed, without costs, and the reassessment is vacated in accordance with the attached reasons for judgment. Signed at Ottawa, Canada, this 14th day of July 2020. David E. Spiro Spiro J. OUTCOME:
allowed
1
This appeal is allowed and the matter is referred back to the Minister for reconsideration and further redeterminations on the bases that the Appellant is entitled to the denied CCTB benefit payments for the beginning of each month within the period July 2013 through to and including March 2015, and also that the Appellant is entitled to the denied GSTC benefit payments for the beginning of each July, October, January and April within the said period July 2013 through to and including March 2015. Signed at Halifax, Nova Scotia, this 30th day of July 2020. B.Russell Russell J.
INSTRUCTIONS: Indicate whether the following judgment excerpt from a Tax Court of Canada decision allows the appeal or dismisses the appeal. Where the result is mixed, indicate that the appeal was allowed. Ignore costs orders. Where the outcome is unclear indicate other. Options: allowed, dismissed, other JUDGMENT EXCERPT: This appeal is allowed and the matter is referred back to the Minister for reconsideration and further redeterminations on the bases that the Appellant is entitled to the denied CCTB benefit payments for the beginning of each month within the period July 2013 through to and including March 2015, and also that the Appellant is entitled to the denied GSTC benefit payments for the beginning of each July, October, January and April within the said period July 2013 through to and including March 2015. Signed at Halifax, Nova Scotia, this 30th day of July 2020. B.Russell Russell J. OUTCOME:
dismissed
2
The appeal from the reassessments made under the Income Tax Act with respect to the Appellants 2008 and 2009 taxation years is dismissed, without costs, in accordance with the attached Reasons for Judgment. Signed at Montral, Qubec this 23rd day of April 2014. Patrick Boyle Boyle J.
INSTRUCTIONS: Indicate whether the following judgment excerpt from a Tax Court of Canada decision allows the appeal or dismisses the appeal. Where the result is mixed, indicate that the appeal was allowed. Ignore costs orders. Where the outcome is unclear indicate other. Options: allowed, dismissed, other JUDGMENT EXCERPT: The appeal from the reassessments made under the Income Tax Act with respect to the Appellants 2008 and 2009 taxation years is dismissed, without costs, in accordance with the attached Reasons for Judgment. Signed at Montral, Qubec this 23rd day of April 2014. Patrick Boyle Boyle J. OUTCOME:
dismissed
3
The appeal filed by the Appellant against the Respondents decision regarding the calculation of the guaranteed income supplement that she was entitled to under the Old Age Security Act for the months of February to June 2014 (included within the payment period of July 1, 2013 to June 30, 2014) is dismissed in accordance with the attached reasons for judgment. Signed at Ottawa, Canada, this 12th day of December 2018. Ral Favreau Favreau J.
INSTRUCTIONS: Indicate whether the following judgment excerpt from a Tax Court of Canada decision allows the appeal or dismisses the appeal. Where the result is mixed, indicate that the appeal was allowed. Ignore costs orders. Where the outcome is unclear indicate other. Options: allowed, dismissed, other JUDGMENT EXCERPT: The appeal filed by the Appellant against the Respondents decision regarding the calculation of the guaranteed income supplement that she was entitled to under the Old Age Security Act for the months of February to June 2014 (included within the payment period of July 1, 2013 to June 30, 2014) is dismissed in accordance with the attached reasons for judgment. Signed at Ottawa, Canada, this 12th day of December 2018. Ral Favreau Favreau J. OUTCOME:
other
4
Pursuant to Rule 172 of the Tax Court of Canada Rules (General Procedure), these amended reasons for judgment are issued in substitution to the reasons for judgment issued on May 26, 2015. Upon paragraphs [9] and [10] having been inadvertently inverted; The reasons for judgment issued on May 26, 2015 are therefore amended so that former paragraph [10] now reads as paragraph [9], and former paragraph [9] now reads as paragraph [10], as per the attached amended reasons for judgment. Signed at Ottawa, Canada, this 10th day of June 2015. "Gerald J. Rip" Rip J.
INSTRUCTIONS: Indicate whether the following judgment excerpt from a Tax Court of Canada decision allows the appeal or dismisses the appeal. Where the result is mixed, indicate that the appeal was allowed. Ignore costs orders. Where the outcome is unclear indicate other. Options: allowed, dismissed, other JUDGMENT EXCERPT: Pursuant to Rule 172 of the Tax Court of Canada Rules (General Procedure), these amended reasons for judgment are issued in substitution to the reasons for judgment issued on May 26, 2015. Upon paragraphs [9] and [10] having been inadvertently inverted; The reasons for judgment issued on May 26, 2015 are therefore amended so that former paragraph [10] now reads as paragraph [9], and former paragraph [9] now reads as paragraph [10], as per the attached amended reasons for judgment. Signed at Ottawa, Canada, this 10th day of June 2015. "Gerald J. Rip" Rip J. OUTCOME:
other
5
(Delivered orally at the hearing of May 2, 2006, at Montral, Quebec.) Lamarre Proulx J. [1] These appeals pertain to the 2002 and 2003 taxation years. [2] The facts are set out as follows in paragraph 18 of the Reply to the Notice of Appeal ("the Reply"): [TRANSLATION] (a) The Appellant worked as an investment advisor for Laurentian Bank Securities Inc. (hereinafter "LBS") from January 2000 to October 2002. (b) On June 13, 2000, the Appellant signed an employment agreement with LBS. ... Signed at Ottawa, Canada, this 15th day of May 2006. "Louise Lamarre Proulx" Lamarre Proulx J. Translation certified true on this 31st day of October 2006 Monica F. Chamberlain, Reviser
INSTRUCTIONS: Indicate whether the following judgment excerpt from a Tax Court of Canada decision allows the appeal or dismisses the appeal. Where the result is mixed, indicate that the appeal was allowed. Ignore costs orders. Where the outcome is unclear indicate other. Options: allowed, dismissed, other JUDGMENT EXCERPT: (Delivered orally at the hearing of May 2, 2006, at Montral, Quebec.) Lamarre Proulx J. [1] These appeals pertain to the 2002 and 2003 taxation years. [2] The facts are set out as follows in paragraph 18 of the Reply to the Notice of Appeal ("the Reply"): [TRANSLATION] (a) The Appellant worked as an investment advisor for Laurentian Bank Securities Inc. (hereinafter "LBS") from January 2000 to October 2002. (b) On June 13, 2000, the Appellant signed an employment agreement with LBS. ... Signed at Ottawa, Canada, this 15th day of May 2006. "Louise Lamarre Proulx" Lamarre Proulx J. Translation certified true on this 31st day of October 2006 Monica F. Chamberlain, Reviser OUTCOME:

DatologyAI/legalbench

Overview

This repository contains 26 legal reasoning tasks from LegalBench, processed for easy use in language model evaluation. Each task includes the original data as well as a formatted input column that can be directly fed to models for evaluation.

Task Categories

The tasks are organized into several categories:

Basic Legal Datasets

  • canada_tax_court_outcomes
  • jcrew_blocker
  • learned_hands_benefits
  • telemarketing_sales_rule

Citation Datasets

  • citation_prediction_classification

Diversity Analysis Datasets

  • diversity_3
  • diversity_5
  • diversity_6

Jurisdiction Datasets

  • personal_jurisdiction

SARA Analysis Datasets

  • sara_entailment
  • sara_numeric

Supply Chain Disclosure Datasets

  • supply_chain_disclosure_best_practice_accountability
  • supply_chain_disclosure_best_practice_certification
  • supply_chain_disclosure_best_practice_training

MAUD Contract Analysis Datasets

  • maud_ability_to_consummate_concept_is_subject_to_mae_carveouts
  • maud_additional_matching_rights_period_for_modifications_cor
  • maud_change_in_law_subject_to_disproportionate_impact_modifier
  • maud_changes_in_gaap_or_other_accounting_principles_subject_to_disproportionate_impact_modifier
  • maud_cor_permitted_in_response_to_intervening_event
  • maud_fls_mae_standard
  • maud_includes_consistent_with_past_practice
  • maud_initial_matching_rights_period_cor
  • maud_ordinary_course_efforts_standard
  • maud_pandemic_or_other_public_health_event_subject_to_disproportionate_impact_modifier
  • maud_pandemic_or_other_public_health_event_specific_reference_to_pandemic_related_governmental_responses_or_measures
  • maud_type_of_consideration

Task Details

Task Type Description
canada_tax_court_outcomes multiple_choice INSTRUCTIONS: Indicate whether the following judgment excerpt from a Tax Court of Canada decision...
citation_prediction_classification multiple_choice Can the case can be used as a citation for the provided text?
diversity_3 multiple_choice Diversity jurisdiction exists when there is (1) complete diversity between plaintiffs and defenda...
diversity_5 multiple_choice Diversity jurisdiction exists when there is (1) complete diversity between plaintiffs and defenda...
diversity_6 multiple_choice Diversity jurisdiction exists when there is (1) complete diversity between plaintiffs and defenda...
jcrew_blocker multiple_choice The JCrew Blocker is a provision that typically includes (1) a prohibition on the borrower from t...
learned_hands_benefits multiple_choice Does the post discuss public benefits and social services that people can get from the government...
maud_ability_to_consummate_concept_is_subject_to_mae_carveouts multiple_choice Instruction: Read the segment of a merger agreement and answer the multiple-choice question by ch...
maud_additional_matching_rights_period_for_modifications_cor multiple_choice Instruction: Read the segment of a merger agreement and answer the multiple-choice question by ch...
maud_change_in_law_subject_to_disproportionate_impact_modifier multiple_choice Instruction: Read the segment of a merger agreement and answer the multiple-choice question by ch...
maud_changes_in_gaap_or_other_accounting_principles_subject_to_disproportionate_impact_modifier multiple_choice Instruction: Read the segment of a merger agreement and answer the multiple-choice question by ch...
maud_cor_permitted_in_response_to_intervening_event multiple_choice Instruction: Read the segment of a merger agreement and answer the multiple-choice question by ch...
maud_fls_mae_standard multiple_choice Instruction: Read the segment of a merger agreement and answer the multiple-choice question by ch...
maud_includes_consistent_with_past_practice multiple_choice Instruction: Read the segment of a merger agreement and answer the multiple-choice question by ch...
maud_initial_matching_rights_period_cor multiple_choice Instruction: Read the segment of a merger agreement and answer the multiple-choice question by ch...
maud_ordinary_course_efforts_standard multiple_choice Instruction: Read the segment of a merger agreement and answer the multiple-choice question by ch...
maud_pandemic_or_other_public_health_event_subject_to_disproportionate_impact_modifier multiple_choice Instruction: Read the segment of a merger agreement and answer the multiple-choice question by ch...
maud_pandemic_or_other_public_health_event_specific_reference_to_pandemic_related_governmental_responses_or_measures multiple_choice Instruction: Read the segment of a merger agreement and answer the multiple-choice question by ch...
maud_type_of_consideration multiple_choice Instruction: Read the segment of a merger agreement and answer the multiple-choice question by ch...
personal_jurisdiction multiple_choice There is personal jurisdiction over a defendant in the state where the defendant is domiciled, or...
sara_entailment multiple_choice Determine whether the following statements are entailed under the statute.
sara_numeric regression Answer the following questions.
supply_chain_disclosure_best_practice_accountability multiple_choice Task involving supply chain disclosures
supply_chain_disclosure_best_practice_certification multiple_choice Task involving supply chain disclosures
supply_chain_disclosure_best_practice_training multiple_choice Task involving supply chain disclosures
telemarketing_sales_rule multiple_choice The Telemarketing Sales Rule is provided by 16 C.F.R. § 310.3(a)(1) and 16 C.F.R. § 310.3(a)(2).

Data Format

Each dataset preserves its original columns and adds an input column that contains the formatted prompt ready to be used with language models. The column structure varies by task category:

  • Basic Legal Datasets: answer, index, text, input
  • Citation Datasets: answer, citation, index, text, input
  • Diversity Analysis Datasets: aic_is_met, answer, index, parties_are_diverse, text, input
  • Jurisdiction Datasets: answer, index, slice, text, input
  • SARA Analysis Datasets: answer, case id, description, index, question, statute, text, input
  • Supply Chain Disclosure Datasets: answer, index, text, input
  • MAUD Contract Analysis Datasets: answer, index, text, input

Usage

from datasets import load_dataset

# Load a specific task
task = load_dataset("DatologyAI/legalbench", "canada_tax_court_outcomes")

# Access the formatted input
example = task["test"][0]
print(example["input"])

# Access the correct answer
print(example["answer"])

Model Evaluation Example

from datasets import load_dataset
from transformers import AutoModelForCausalLM, AutoTokenizer

# Load model and tokenizer
model_name = "meta-llama/Llama-2-7b-chat-hf"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

# Load a LegalBench task
task_name = "personal_jurisdiction"
dataset = load_dataset("DatologyAI/legalbench", task_name)

# Process an example
example = dataset["test"][0]
input_text = example["input"]

# Generate a response
inputs = tokenizer(input_text, return_tensors="pt")
outputs = model.generate(
    inputs["input_ids"], 
    max_new_tokens=10,
    temperature=0.0
)
response = tokenizer.decode(outputs[0][inputs["input_ids"].shape[1]:], skip_special_tokens=True)

# Check if correct
print(f"Gold answer: {example['answer']}")
print(f"Model response: {response}")

Citation

If you use this dataset, please cite both this repository and the original LegalBench paper:

@misc{legalbench_datology,
  author = {DatologyAI},
  title = {Processed LegalBench Dataset},
  year = {2024},
  publisher = {GitHub},
  url = {https://huggingface.co/DatologyAI/legalbench}
}

@article{guha2023legalbench,
  title={Legalbench: Foundational models for legal reasoning},
  author={Guha, Neel and Gaur, Mayank and Garrido, Georgios and Ji, Fali and Zhang, Spencer and Pathak, Aditi and Arora, Shivam and Teng, Zhaobin and Mao, Chacha and Kornilova, Anastassia and others},
  journal={arXiv preprint arXiv:2308.11462},
  year={2023}
}

License

These datasets are derived from LegalBench and follow the same licensing as the original repository.

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