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  # Dataset Card for "Calc-asdiv_a"
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- TBD
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- [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Cite
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- If you use this dataset in research, please cite the original [ASDiv paper](https://aclanthology.org/2020.acl-main.92) and [Calc-X collection](https://arxiv.org/abs/2305.15017) as follows:
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  ```bibtex
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  @inproceedings{kadlcik-etal-2023-soft,
 
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  # Dataset Card for "Calc-asdiv_a"
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+ ## Summary
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+ The dataset is a collection of simple math word problems focused on arithmetics. It is derived from the arithmetic subset of ASDiv ([original repo](https://github.com/chaochun/nlu-asdiv-dataset)).
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+ 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
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+ parsed (e.g. by BeautifulSoup). The data contains 3 types of tags:
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+ - gadget: A tag whose content is intended to be evaluated by calling an external tool (sympy-based calculator in this case)
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+ - output: An output of the external tool
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+ - result: The final answer to the mathematical problem (a number)
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+ ## Supported Tasks
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+ 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.
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+ This dataset presents in-context scenarios where models can outsource the computations in the reasoning chain to a calculator.
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+ ## Attributes:
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+ - `id`: id of the example
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+ - `question`: problem description in English
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+ - `chain`: series of simple operations (derived from `expression`) that lead to the solution
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+ - `result`: the solution for x as a number or fraction (string)
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+ - `result_float`: same as `result` but converted to a float
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+ - `result_unit`: the units of the result
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+ - `grade`: an estimate of the school grade in which the problem would be practiced
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+ - `source_question`: the source from which the example originates
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+ ## Data splits
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+ The dataset does not contain data splits. We consider the whole dataset as a testing benchmark.
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+ ## Licence
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+ CC BY-NC 4.0, consistent with the original source dataset linked above.
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+ ## Related work
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+ If you are interested in related datasets (or models), check out the MU-NLPC organization here on HuggingFace. We have released a few other datasets in a compatible format, and several models that use an external calculator during inference.
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  ## Cite
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+ If you use this dataset in research, please cite the original [ASDiv paper](https://aclanthology.org/2020.acl-main.92), and [Calc-X collection](https://arxiv.org/abs/2305.15017) as follows:
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  ```bibtex
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  @inproceedings{kadlcik-etal-2023-soft,