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README.md
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## Atributes
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Attributes
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## Sources
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- [official website](https://math-qa.github.io/)
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## Licence
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Apache 2.0, consistently with the original dataset.
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## Atributes
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- **id** - id of the example
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- **question** - the description of a mathematical problem in natural language, and includes the options to be selected from
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- **chain** - solution in the form of step-by-step calculations encoded in simple html-like language. computed from `annotated_formula` column
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- **result** - the correct option
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- **result_float** - the result converted to a float
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- **question_without_options** - same as `question`, but does not contain the options
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- **options** - dictionary of options to choose from, one is correct, keys are "A".."E"
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- **annotated_formula** - human-annotated nested expression that (approximately) evaluates to the selected correct answer
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- **linear_formula** - same as `annotated_formula`, but linearized by original math_qa authors
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- **rationale** - human-annotated free-text reasoning that leads to the correct answer
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- **category** - category of the math problem
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Attributes **id**, **question**, **chain**, and **result** are present in all datasets in [Calc-X collection](https://huggingface.co/collections/MU-NLPC/calc-x-652fee9a6b838fd820055483).
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## Sources
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- [official website](https://math-qa.github.io/)
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## Related work
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This dataset was created as a part of a larger effort in training models capable of using a calculator during inference.
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You can read more in our paper [Calc-X and Calcformers](https://arxiv.org/abs/2305.15017).
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We have released a collection of datasets on solving math problems with calculator interactions on HuggingFace called [Calc-X collection](https://huggingface.co/collections/MU-NLPC/calc-x-652fee9a6b838fd820055483).
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We have also trained and published several T5-based models that use calculator during inference to perform arithmetics correctly, which we call [Calcformers](https://huggingface.co/collections/MU-NLPC/calcformers-65367392badc497807b3caf5).
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## Licence
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Apache 2.0, consistently with the original dataset.
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