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)