2026-07-08 08:57:50 +00:00

3.4 KiB
Raw Blame History

MathQA

Overview

MathQA is a large-scale dataset for mathematical word problem solving, gathered by annotating the AQuA-RAT dataset with fully-specified operational programs using a new representation language. It contains diverse math problems requiring multi-step reasoning.

Task Description

  • Task Type: Mathematical Reasoning (Multiple-Choice)
  • Input: Math word problem with multiple answer choices
  • Output: Correct answer with chain-of-thought reasoning
  • Difficulty: Varied (elementary to intermediate level)

Key Features

  • Annotated with executable operational programs
  • Tests quantitative reasoning and problem-solving skills
  • Diverse mathematical topics and question formats
  • Multiple-choice format with structured solutions
  • Useful for evaluating mathematical reasoning capabilities

Evaluation Notes

  • Default configuration uses 0-shot evaluation
  • Uses Chain-of-Thought (CoT) prompting for reasoning
  • Evaluates on test split
  • Simple accuracy metric
  • Reasoning steps available in metadata

Properties

Property Value
Benchmark Name math_qa
Dataset ID extraordinarylab/math-qa
Paper N/A
Tags MCQ, Math, Reasoning
Metrics acc
Default Shots 0-shot
Evaluation Split test

Data Statistics

Metric Value
Total Samples 2,985
Prompt Length (Mean) 433.02 chars
Prompt Length (Min/Max) 257 / 879 chars

Sample Example

Subset: default

{
  "input": [
    {
      "id": "e77fca06",
      "content": "Answer the following multiple choice question. The last line of your response should be of the following format: 'ANSWER: [LETTER]' (without quotes) where [LETTER] is one of A,B,C,D,E. Think step by step before answering.\n\na shopkeeper sold an article offering a discount of 5 % and earned a profit of 31.1 % . what would have been the percentage of profit earned if no discount had been offered ?\n\nA) 38\nB) 27.675\nC) 30\nD) data inadequate\nE) none of these"
    }
  ],
  "choices": [
    "38",
    "27.675",
    "30",
    "data inadequate",
    "none of these"
  ],
  "target": "A",
  "id": 0,
  "group_id": 0,
  "metadata": {
    "reasoning": "\"giving no discount to customer implies selling the product on printed price . suppose the cost price of the article is 100 . then printed price = 100 ã — ( 100 + 31.1 ) / ( 100 â ˆ  5 ) = 138 hence , required % profit = 138 â € “ 100 = 38 % answer a\""
  }
}

Prompt Template

Prompt Template:

Answer the following multiple choice question. The last line of your response should be of the following format: 'ANSWER: [LETTER]' (without quotes) where [LETTER] is one of {letters}. Think step by step before answering.

{question}

{choices}

Usage

Using CLI

evalscope eval \
    --model YOUR_MODEL \
    --api-url OPENAI_API_COMPAT_URL \
    --api-key EMPTY_TOKEN \
    --datasets math_qa \
    --limit 10  # Remove this line for formal evaluation

Using Python

from evalscope import run_task
from evalscope.config import TaskConfig

task_cfg = TaskConfig(
    model='YOUR_MODEL',
    api_url='OPENAI_API_COMPAT_URL',
    api_key='EMPTY_TOKEN',
    datasets=['math_qa'],
    limit=10,  # Remove this line for formal evaluation
)

run_task(task_cfg=task_cfg)