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| license: other | |
| license_name: open-data-attribution-training-disclosure-license-odatl-1.0 | |
| license_link: LICENSE | |
| language: | |
| - en | |
| tags: | |
| - math | |
| # Math Teaching Dataset - 100MB / 735k Rows | |
| A large math dataset designed for training and fine-tuning AI models with step-by-step reasoning. | |
| ## Files | |
| - `math_dataset_100MB.csv` - Full dataset, 100.33 MB, 735,000 rows | |
| - `math_dataset_100MB.csv.gz` - Compressed version, 18.95 MB | |
| - `splits/math_part_1.csv` to `math_part_10.csv` - 10 x ~10MB chunks | |
| ## Dataset Stats | |
| - **Total rows:** 735,000 | |
| - **Size:** 100.33 MB raw, 18.95 MB gzipped | |
| - **Format:** CSV, UTF-8, with header | |
| ### Topic Distribution | |
| | Topic | Count | Description | | |
| |-------|-------|-------------| | |
| | arithmetic | 184,304 | Addition, subtraction, multiplication, division, order of operations | | |
| | algebra | 91,880 | Linear equations and quadratics | | |
| | calculus | 91,675 | Basic derivatives and integrals | | |
| | geometry | 46,373 | Area and perimeter of rectangles, circles, triangles | | |
| | exponents | 46,303 | Powers | | |
| | word_problems | 45,929 | Applied addition problems | | |
| | statistics | 45,920 | Mean / average | | |
| | percentages | 45,857 | Percentage calculations | | |
| | number_theory | 45,789 | GCD and LCM | | |
| | roots | 45,567 | Square roots | | |
| | fractions | 45,403 | Fraction addition, subtraction, multiplication | | |
| ### Difficulty | |
| - `easy` - single-step problems | |
| - `medium` - multi-step problems | |
| ## Schema | |
| | Column | Type | Description | | |
| |--------|------|-------------| | |
| | `id` | int | Unique row ID | | |
| | `topic` | string | High-level topic | | |
| | `difficulty` | string | easy or medium | | |
| | `question` | string | The math problem | | |
| | `answer` | string | Final answer | | |
| | `reasoning` | string | Step-by-step explanation | | |
| | `category` | string | Specific sub-type of problem | | |
| ## Example Rows | |
| "What is 1900 / 5?" -> Answer: 380 | |
| Reasoning: "Divide: 1900 ÷ 5 = 380 because 5*380=1900." | |
| "Solve for x: 12x + 15 = 87" -> Answer: 6 | |
| Reasoning: "Subtract 15 from both sides: 12x = 72. Then divide by 12: x = 6." | |
| "What is 3/4 + 2/5?" -> Answer: "23/20" | |
| Reasoning: "Common denominator 20. 3/4=15/20, 2/5=8/20. Sum = 23/20." | |
| "What is the derivative of 7x^5 with respect to x?" -> Answer: "35x^4" | |
| Reasoning: "Power rule: d/dx [x^n] = n*x^(n-1). So 7*5*x^4 = 35x^4." | |
| ## Intended Use | |
| Built for instruction tuning and chain-of-thought training. | |
| Recommended training format: | |
| Input: {question} | |
| Target: {reasoning} Answer: {answer} | |
| Works for: | |
| - Fine-tuning language models for math reasoning | |
| - Teaching step-by-step problem solving | |
| - Evaluating math capabilities | |
| - Data augmentation alongside other math datasets | |
| ## License | |
| open-data-attribution-training-disclosure-license-odatl-1.0 |