|
Download README.md from Anonymous-zxcvbnm/IO-Bench: direct link, hf CLI and curl.
- Browser
- Download file 2.17 kB
-
https://huggingface.co/datasets/Anonymous-zxcvbnm/IO-Bench/resolve/main/README.md
- Command line
-
hf download hf://datasets/Anonymous-zxcvbnm/IO-Bench/README.md
-
curl -L -o README.md https://huggingface.co/datasets/Anonymous-zxcvbnm/IO-Bench/resolve/main/README.md
2.17 kB
metadata
language:
- en
pretty_name: IO-Bench
license: cc-by-nd-4.0
size_categories:
- n<1K
task_categories:
- question-answering
- text-generation
tags:
- economics
- mathematical-reasoning
- symbolic-reasoning
- benchmark
- responsible-ai
configs:
- config_name: default
data_files:
- split: test
path: data/test.jsonl
IO-Bench
IO-Bench is a 155-example evaluation dataset for mathematical economics reasoning. Each record contains a standalone economics question, a reference answer, a machine-comparable answer field, symbolic answer metadata where applicable, and review status metadata.
Unless otherwise noted, the dataset materials in this repository are licensed under the Creative Commons Attribution-NoDerivatives 4.0 International License (CC BY-ND 4.0). See LICENSE for details.
Dataset Structure
- Main HF split:
data/test.jsonl - Chapter copies:
data/by_chapter/*.jsonl - Problem-type labels: included in each JSONL record as
problem_type_label - Rows: 155
- Splits: {'chapter_1': 21, 'chapter_2': 10, 'chapter_3': 7, 'chapter_4': 9, 'chapter_5': 12, 'chapter_6': 17, 'chapter_7': 5, 'chapter_8': 17, 'chapter_9': 9, 'chapter_10': 15, 'chapter_11': 29, 'chapter_intro': 4}
Fields
id: Unique example id.chapter,split,problem_number,sub_id: Source location metadata after anonymization.question: Standalone benchmark question.question_type: Question format, such asvalueorjudge.problem_type_label: Problem-type category used for analysis.answer_kind: Answer representation category.comparison_mode: Evaluation mode, such assympy,exact, orjson.reference_answer: Reference final answer.reference_answer_sympy: SymPy-compatible answer when applicable.reference_answer_json: JSON answer when applicable.reference_answer_json_modes: Per-field comparison modes for JSON answers when applicable.answer_for_compare: Canonical comparison target used by the evaluator.reference_reasoning: Reference solution rationale.allowed_symbols,symbol_definitions: Symbol contract for symbolic answers.review_status: Anonymized review status.