metadata

language:
  - en
license: mit
size_categories:
  - 1K<n<10K
task_categories:
  - text-generation
tags:
  - math world problems
  - math
  - arithmetics
dataset_info:
  - config_name: default
    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: expression
        dtype: string
    splits:
      - name: train
        num_bytes: 298347
        num_examples: 1089
      - name: validation
        num_bytes: 285321
        num_examples: 1040
      - name: test
        num_bytes: 142648
        num_examples: 520
    download_size: 0
    dataset_size: 726316
  - 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: expression
        dtype: string
    splits:
      - name: train
        num_bytes: 1000546
        num_examples: 3636
      - name: test
        num_bytes: 142648
        num_examples: 520
      - name: validation
        num_bytes: 285321
        num_examples: 1040
    download_size: 128730
    dataset_size: 1428515
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*
  - config_name: original-splits
    data_files:
      - split: train
        path: original-splits/train-*
      - split: test
        path: original-splits/test-*
      - split: validation
        path: original-splits/validation-*

Dataset Card for Calc-MAWPS

Summary

The dataset is a collection of simple math word problems focused on arithmetics. It is derived from https://huggingface.co/datasets/omarxadel/MaWPS-ar.

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 to 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 outsource the computations in the reasoning chain to a calculator.

Data splits

We provide 2 variants of the dataset. In the first one, the data splits correspond to the original one and can be loaded using:

datasets.load_dataset("MU-NLPC/calc-mawps", "original-splits")

The second one is filtered to prevent data leaks (overly similar examples in train and test/val splits) in between and across datasets in Calc-X collection. Specifically, we filtered out around 2,500 near-duplicates from the train set that were similar to some instances in the MAWPS val and test splits and ASDiv-A test split. You can load this variant via:

datasets.load_dataset("MU-NLPC/calc-mawps")

Attributes:

id: id of the example
question: problem description in English
question_arabic: problem description in Arabic
chain: series of simple operations (derived from expression) that lead to the solution
result: the solution for x as a number or fraction (string)
result_float: same as result but converted to a float
equation: an equation that needs to be solved for x to obtain the result. Usually in the form of "x = ..." but not always.
expression: arithmetic expression derived from equation that solves it for x

Attributes id, question, chain, and result are present in all datasets in Calc-X collection.

Related work

This dataset was created as a part of a larger effort in training models capable of using a calculator during inference, which we call Calcformers.

Calc-X collection - datasets for training Calcformers
Calcformers collection - calculator-using models we trained and published on HF
Calc-X and Calcformers paper
Calc-X and Calcformers repo

Here are links to the original dataset:

Licence

MIT, consistent with the original source dataset linked above.

Cite

If you use this version of the dataset in research, please cite the original MAWPS paper, and Calc-X paper as follows:

@inproceedings{kadlcik-etal-2023-soft,
    title = "Calc-X and Calcformers: Empowering Arithmetical Chain-of-Thought through Interaction with Symbolic Systems",
    author = "Marek Kadlčík and Michal Štefánik and Ondřej Sotolář and Vlastimil Martinek",
    booktitle = "Proceedings of the The 2023 Conference on Empirical Methods in Natural Language Processing: Main track",
    month = dec,
    year = "2023",
    address = "Singapore, Singapore",
    publisher = "Association for Computational Linguistics",
    url = "https://arxiv.org/abs/2305.15017",
}