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Calc-svamp / README.md
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metadata
language:
  - en
license: mit
size_categories:
  - n<1K
task_categories:
  - text-generation
tags:
  - math world problems
  - math
  - arithmetics
dataset_info:
  config_name: original-splits
  features:
    - name: id
      dtype: string
    - name: question
      dtype: string
    - name: chain
      dtype: string
    - name: result
      dtype: string
    - name: result_float
      dtype: float64
    - name: equation
      dtype: string
    - name: problem_type
      dtype: string
  splits:
    - name: test
      num_bytes: 328744
      num_examples: 1000
  download_size: 115404
  dataset_size: 328744
configs:
  - config_name: original-splits
    data_files:
      - split: test
        path: original-splits/test-*

Dataset Card for Calc-SVAMP

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
  • question: the question intended to answer
  • chain: series of simple operations (derived from equation) that leads to the solution
  • result: the result (number) as a string
  • result_float: result converted to a floating point
  • equation: an nested expression that evaluates to the correct result
  • problem_type: a category of the problem

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 released a 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 SVAMP paper. TODO