|
--- |
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language: |
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- en |
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license: mit |
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size_categories: |
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- 1K<n<10K |
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task_categories: |
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- text-generation |
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- question-answering |
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dataset_info: |
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- config_name: default |
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features: |
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- name: id |
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dtype: string |
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- name: question |
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dtype: string |
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- name: chain |
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dtype: string |
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- name: result |
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dtype: string |
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- name: result_float |
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dtype: float64 |
|
splits: |
|
- name: train |
|
num_bytes: 5373420.477987422 |
|
num_examples: 7273 |
|
- name: validation |
|
num_bytes: 147763.5220125786 |
|
num_examples: 200 |
|
- name: test |
|
num_bytes: 993169 |
|
num_examples: 1319 |
|
download_size: 3140154 |
|
dataset_size: 6514353.0 |
|
- 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 |
|
splits: |
|
- name: train |
|
num_bytes: 5521184 |
|
num_examples: 7473 |
|
- name: test |
|
num_bytes: 993169 |
|
num_examples: 1319 |
|
download_size: 0 |
|
dataset_size: 6514353 |
|
configs: |
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- config_name: default |
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data_files: |
|
- split: train |
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path: data/train-* |
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- split: validation |
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path: data/validation-* |
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- split: test |
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path: data/test-* |
|
- config_name: original-splits |
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data_files: |
|
- split: train |
|
path: original-splits/train-* |
|
- split: test |
|
path: original-splits/test-* |
|
--- |
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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 corresponds to the original gsm8k dataset. |
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In this version, we created validation set by sampling 200 random examples from the original train split. The original data splits can be downloaded using: |
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|
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``` |
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datasets.load_dataset("MU-NLPC/Calc-gsm8k", "original-splits") |
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``` |
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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 [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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title = "Calc-X and Calcformers: Empowering Arithmetical Chain-of-Thought through Interaction with Symbolic Systems", |
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author = "Marek Kadlčík and Michal Štefánik and Ondřej Sotolář and Vlastimil Martinek", |
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booktitle = "Proceedings of the The 2023 Conference on Empirical Methods in Natural Language Processing: Main track", |
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month = december, |
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year = "2023", |
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address = "Singapore, Singapore", |
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publisher = "Association for Computational Linguistics", |
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url = "https://arxiv.org/abs/2305.15017", |
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} |
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``` |
