---
license: cc-by-nc-sa-4.0
task_categories:
- question-answering
- text-generation
language:
- en
pretty_name: CCA Numerical Reasoning
size_categories:
- 1K<n<10K
tags:
- numerical-reasoning
- finance
- credit-cards
- program-of-thought
- arithmetic
- financial-literacy
---

# CCA Numerical Reasoning

CCA Numerical Reasoning is an 800-question dataset of credit-card-agreement questions designed to evaluate numerical reasoning over consumer finance terms. Each example contains a natural-language question, a ground-truth answer, output units, input-unit metadata, executable-style reasoning steps, a program trace, question tense metadata, financial-term tags, and the source credit card agreement identifier.

The dataset contains **800** numerical reasoning questions derived from **27** credit card agreements.

## Dataset Files

- `creditqa.json`: 800 numerical reasoning questions.

## Dataset Structure

Each row in `creditqa.json` has the following fields:

```json
{
  "question": "Natural-language question",
  "ground_truth": "Expected answer",
  "output_units": "$ | % | binary | month | day | year | week | transaction | hour | categorical",
  "input_units": {
    "from_doc": {
      "%": 0,
      "month": 0,
      "day": 0,
      "year": 0,
      "$": 0,
      "binary": 0,
      "categorical": 0
    },
    "from_user": {
      "%": 0,
      "month": 0,
      "day": 0,
      "year": 0,
      "$": 0,
      "binary": 0,
      "categorical": 0
    },
    "total": {
      "%": 0,
      "month": 0,
      "day": 0,
      "year": 0,
      "$": 0,
      "binary": 0,
      "categorical": 0
    }
  },
  "steps": [
    {
      "operator": "multiply",
      "arg_1": "1000",
      "arg_2": "0.02",
      "resp": 20
    }
  ],
  "program": [
    "multiply(1000, 0.02)"
  ],
  "question_tense": "FIRST | THIRD",
  "financial_terms": [
    "PURCHASE APR",
    "INTEREST ACCRUAL"
  ],
  "credit_card": "source_agreement_filename.md"
}
```