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--- |
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license: mit |
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task_categories: |
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- text-generation |
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- question-answering |
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language: |
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- en |
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size_categories: |
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- 1K<n<10K |
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--- |
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# Dataset Card for "Calc-gsm8k" |
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## Summary |
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This dataset is an instance of gsm8k dataset, converted to a simple html-like language that can be easily 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 of the mathematical problem (a number) |
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## Supported Tasks |
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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 out-source the computations in the reasoning chain to a calculator. |
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## Construction Process |
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The answers in the original dataset was in in a structured but non-standard format. So, the answers were parsed, all arithmetical expressions |
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were evaluated using a sympy-based calculator, the outputs were checked to be consistent with the intermediate results and finally exported |
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into a simple html-like language that BeautifulSoup can parse. |
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## Content and Data splits |
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Content and splits correspond to the original gsm8k dataset. |
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See [gsm8k HF dataset](https://huggingface.co/datasets/gsm8k) and [official repository](https://github.com/openai/grade-school-math) for more info. |
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## Licence |
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MIT, consistently with the original dataset. |
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## Cite |
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If you use this version of dataset in research, please cite the [original GSM8K paper](https://arxiv.org/abs/2110.14168) and our report as follows: |
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```bibtex |
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@article{kadlcik2023calcx, |
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title={Calc-X: Enriching Arithmetical Chain-of-Thoughts Datasets by Interaction with Symbolic Systems}, |
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author={Marek Kadlčík and Michal Štefánik}, |
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year={2023}, |
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eprint={2305.15017}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.LG} |
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} |
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``` |
