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README.md

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 license: apache-2.0
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+
+# Dataset Card for "Calc-math_qa"
+
+
+## Summary
+
+This dataset is an instance of math_qa dataset, converted to a simple html-like language that can be easily parsed (e.g. by BeautifulSoup). The data contains 3 types of tags:
+- gadget: A tag whose content is intended to be evaluated by calling an external tool (sympy-based calculator in this case)
+- output: An output of the external tool
+- result: The final answer of the mathematical problem (a number)
+
+
+## Supported Tasks
+
+The dataset is intended for training Chain-of-Thought reasoning **models able to use external tools** to enhance the factuality of their responses.
+This dataset presents in-context scenarios where models can out-source the computations in the reasoning chain to a calculator.
+
+
+## Construction Process
+
+We took the original math_qa dataset, parsed the nested formulas, linearized them into a sequence (chain) of operations, and replace all advanced
+function calls (such as `circle_area`) with explicit elementary operations. We evaluate all the steps in each example and filter out examples if their
+evaluation does not match the answer selected as correct in the data with a 5% tolerance. The sequence of steps is then saved in HTML-like language
+in `chain` column. We keep the original columns in the dataset for convenience.
+
+You can read more information about this process in our [technical report](https://arxiv.org/abs/2305.15017).
+
+
+## Content and Data splits
+
+Content and splits correspond to the original math_qa dataset.
+See [mathqa HF dataset](https://huggingface.co/datasets/math_qa) and [official website](https://math-qa.github.io/) for more info.
+
+
+## Licence
+
+Apache 2.0, consistently with the original dataset.
+
+
+## Cite
+
+If you use this version of dataset in research, please cite the [original MathQA paper](https://arxiv.org/abs/1905.13319), ans also [our technical report](https://arxiv.org/abs/2305.15017) as follows:
+
+```bibtex
+@article{kadlcik2023calcx,
+         title={Calc-X: Enriching Arithmetical Chain-of-Thoughts Datasets by Interaction with Symbolic Systems}, 
+         author={Marek Kadlčík and Michal Štefánik},
+         year={2023},
+         eprint={2305.15017},
+         archivePrefix={arXiv},
+         primaryClass={cs.LG}
+}
+```