| language: | |
| - en | |
| tags: | |
| - math | |
| - algebra | |
| - reasoning | |
| - equations | |
| - fractions | |
| - word-problems | |
| - logic | |
| - llm-training | |
| - finetuning | |
| - Math | |
| - Algebra | |
| - Reasoning | |
| - Equations | |
| - Fractions | |
| - Equations | |
| - Logic | |
| - Finetuning | |
| pretty_name: LSReasoning-3000000 | |
| size_categories: | |
| - 1M<n<10M | |
| license: mit | |
| # Large-Scale Mathematic Reasoning-3000000 | |
| # Built via a python script | |
| ## Contents | |
| - Addition | |
| - Subtraction | |
| - Multiplication | |
| - Division | |
| - Linear equations | |
| - Fractional equations | |
| - Two step equations | |
| - Algebra word problems | |
| Synthetic algebra-heavy math reasoning dataset. | |
| Each row: | |
| - question | |
| - problem | |
| - how_to_solve | |
| - answer | |
| ## Useage | |
| Licensed under MIT | |
| Free to use for everyone | |
| ##Notes | |
| It is | |
| - Better to use smaller variants of this dataset for finetuning | |
| - Better to use very small variants of this dataset for evaluation | |
| - Better to use large variants of this dataset for pre-training | |