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--- |
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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 |
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splits: |
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- name: train |
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num_bytes: 5373420.477987422 |
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num_examples: 7273 |
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- name: validation |
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num_bytes: 147763.5220125786 |
|
num_examples: 200 |
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- name: test |
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num_bytes: 993169 |
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num_examples: 1319 |
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download_size: 3140154 |
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dataset_size: 6514353.0 |
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- config_name: original-splits |
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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 |
|
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 |
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dataset_size: 6514353 |
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configs: |
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- config_name: default |
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data_files: |
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- 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-* |
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- config_name: original-splits |
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data_files: |
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- split: train |
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path: original-splits/train-* |
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- split: test |
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path: original-splits/test-* |
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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 to 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 outsource 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 were 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 exported |
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into a simple html-like language that BeautifulSoup can parse. |
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We also perform in-dataset and cross-dataset data-leak detection within the [Calc-X collection](https://huggingface.co/collections/MU-NLPC/calc-x-652fee9a6b838fd820055483) |
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However, in case of gsm8k, we found no data leaks and removed no examples from the data. |
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## Content and Data splits |
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For convenience, we created a validation set by sampling 200 random examples from the original train split. This is the default variant: |
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```python |
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datasets.load_dataset("MU-NLPC/Calc-gsm8k") |
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``` |
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The original data splits can be loaded using: |
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```python |
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datasets.load_dataset("MU-NLPC/Calc-gsm8k", "original-splits") |
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``` |
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For more info about the content of the dataset, see [gsm8k HF dataset](https://huggingface.co/datasets/gsm8k) and the [official repository](https://github.com/openai/grade-school-math). |
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## Related work |
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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. |
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- [**Calc-X collection**](https://huggingface.co/collections/MU-NLPC/calc-x-652fee9a6b838fd820055483) - datasets for training Calcformers |
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- [**Calcformers collection**](https://huggingface.co/collections/MU-NLPC/calcformers-65367392badc497807b3caf5) - calculator-using models we trained and published on HF |
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- [**Calc-X and Calcformers paper**](https://arxiv.org/abs/2305.15017) |
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- [**Calc-X and Calcformers repo**](https://github.com/prompteus/calc-x) |
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Here are links to the original dataset: |
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- [**original gsm8k dataset**](https://huggingface.co/datasets/gsm8k) |
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- [**original gsm8k paper**](https://arxiv.org/abs/2110.14168) |
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- [**original gsm8k repo**](https://github.com/openai/grade-school-math) |
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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 the 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 = dec, |
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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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``` |
