Update README.md

README.md

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 ---
 license: mit
+task_categories:
+- text-generation
+language:
+- en
+tags:
+- math world problems
+- math
+- arithmetics
+size_categories:
+- 1K<n<10K
 ---
+
+
+
+# Dataset Card for Calc-MAWPS
+
+
+## Summary
+
+The dataset is a collection of simple math world problems focused on arithmetics. It is derived from <https://github.com/arkilpatel/SVAMP/>.
+
+The main addition in this dataset variant is the `chain` column. It was created by converting the solution 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
+
+This variant of 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.
+
+
+## Attributes:
+
+- `id`: problem id from the original dataset
+- `body`: problem setup in english
+- `question`: the question intended to answer
+- `equation`: an nested expression that evaluates to the correct result
+- `answer`: result as a floating point
+- `type`: a category of the problem
+- `chain`: series of simple operations (derived from `equation`) that leads to the solution
+
+
+## Content and data splits
+
+The dataset contains the same data instances ad the original dataset except for a correction of inconsistency between `equation` and `answer` in one data instance.
+To the best of our knowledge, the original dataset does not contain an official train-test split, and we do not create one. However, original authors have used cross-validation in the official repository - for more info, see <https://github.com/arkilpatel/SVAMP/>.
+
+
+## Licence
+
+MIT, consistent with the original source dataset linked above.
+
+
+## Related work
+
+If you are interested in related datasets (or models), check out the MU-NLPC organization here on HuggingFace. We have relesed few other datasets in a compatible format, and several models that use external calculator during inference.
+
+
+## Cite
+
+If you use this version of dataset in research, please cite the original [MAWPS paper](https://aclanthology.org/N16-1136/).
+TODO