Datasets:
Tasks:
Text2Text Generation
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
ArXiv:
Tags:
math-word-problems
License:
File size: 3,496 Bytes
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{
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"citation": "@misc{cobbe2021training,\n title={Training Verifiers to Solve Math Word Problems},\n author={Karl Cobbe and Vineet Kosaraju and Mohammad Bavarian and Jacob Hilton and Reiichiro Nakano and Christopher Hesse and John Schulman},\n year={2021},\n eprint={2110.14168},\n archivePrefix={arXiv},\n primaryClass={cs.LG}\n}\n",
"homepage": "https://openai.com/blog/grade-school-math",
"license": "MIT",
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"description": "GSM8K (Grade School Math 8K) is a dataset of 8.5K high quality\nlinguistically diverse grade school math word problems. The\ndataset was created to support the task of question answering\non basic mathematical problems that require multi-step reasoning.\n",
"citation": "@misc{cobbe2021training,\n title={Training Verifiers to Solve Math Word Problems},\n author={Karl Cobbe and Vineet Kosaraju and Mohammad Bavarian and Jacob Hilton and Reiichiro Nakano and Christopher Hesse and John Schulman},\n year={2021},\n eprint={2110.14168},\n archivePrefix={arXiv},\n primaryClass={cs.LG}\n}\n",
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