Datasets:
Update README.md
Browse files
README.md
CHANGED
|
@@ -92,10 +92,13 @@ The answers in the original dataset were in a structured but non-standard format
|
|
| 92 |
were evaluated using a sympy-based calculator, the outputs were checked to be consistent with the intermediate results and exported
|
| 93 |
into a simple html-like language that BeautifulSoup can parse.
|
| 94 |
|
|
|
|
|
|
|
|
|
|
| 95 |
|
| 96 |
## Content and Data splits
|
| 97 |
|
| 98 |
-
For convenience, we created a validation set by sampling 200 random examples from the original train split.
|
| 99 |
|
| 100 |
```python3
|
| 101 |
datasets.load_dataset("MU-NLPC/Calc-gsm8k")
|
|
@@ -110,6 +113,24 @@ datasets.load_dataset("MU-NLPC/Calc-gsm8k", "original-splits")
|
|
| 110 |
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).
|
| 111 |
|
| 112 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 113 |
## Licence
|
| 114 |
|
| 115 |
MIT, consistently with the original dataset.
|
|
@@ -124,7 +145,7 @@ If you use this version of the dataset in research, please cite the [original GS
|
|
| 124 |
title = "Calc-X and Calcformers: Empowering Arithmetical Chain-of-Thought through Interaction with Symbolic Systems",
|
| 125 |
author = "Marek Kadlčík and Michal Štefánik and Ondřej Sotolář and Vlastimil Martinek",
|
| 126 |
booktitle = "Proceedings of the The 2023 Conference on Empirical Methods in Natural Language Processing: Main track",
|
| 127 |
-
month =
|
| 128 |
year = "2023",
|
| 129 |
address = "Singapore, Singapore",
|
| 130 |
publisher = "Association for Computational Linguistics",
|
|
|
|
| 92 |
were evaluated using a sympy-based calculator, the outputs were checked to be consistent with the intermediate results and exported
|
| 93 |
into a simple html-like language that BeautifulSoup can parse.
|
| 94 |
|
| 95 |
+
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)
|
| 96 |
+
However, in case of gsm8k, we found no data leaks and removed no examples from the data.
|
| 97 |
+
|
| 98 |
|
| 99 |
## Content and Data splits
|
| 100 |
|
| 101 |
+
For convenience, we created a validation set by sampling 200 random examples from the original train split. This is the default variant:
|
| 102 |
|
| 103 |
```python3
|
| 104 |
datasets.load_dataset("MU-NLPC/Calc-gsm8k")
|
|
|
|
| 113 |
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).
|
| 114 |
|
| 115 |
|
| 116 |
+
|
| 117 |
+
## Related work
|
| 118 |
+
|
| 119 |
+
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.
|
| 120 |
+
|
| 121 |
+
- [**Calc-X collection**](https://huggingface.co/collections/MU-NLPC/calc-x-652fee9a6b838fd820055483) - datasets for training Calcformers
|
| 122 |
+
- [**Calcformers collection**](https://huggingface.co/collections/MU-NLPC/calcformers-65367392badc497807b3caf5) - calculator-using models we trained and published on HF
|
| 123 |
+
- [**Calc-X and Calcformers paper**](https://arxiv.org/abs/2305.15017)
|
| 124 |
+
- [**Calc-X and Calcformers repo**](https://github.com/prompteus/calc-x)
|
| 125 |
+
|
| 126 |
+
Here are links to the original dataset:
|
| 127 |
+
|
| 128 |
+
- [**original gsm8k dataset**](https://huggingface.co/datasets/gsm8k)
|
| 129 |
+
- [**original gsm8k paper**](https://arxiv.org/abs/2110.14168)
|
| 130 |
+
- [**original gsm8k repo**](https://github.com/openai/grade-school-math)
|
| 131 |
+
|
| 132 |
+
|
| 133 |
+
|
| 134 |
## Licence
|
| 135 |
|
| 136 |
MIT, consistently with the original dataset.
|
|
|
|
| 145 |
title = "Calc-X and Calcformers: Empowering Arithmetical Chain-of-Thought through Interaction with Symbolic Systems",
|
| 146 |
author = "Marek Kadlčík and Michal Štefánik and Ondřej Sotolář and Vlastimil Martinek",
|
| 147 |
booktitle = "Proceedings of the The 2023 Conference on Empirical Methods in Natural Language Processing: Main track",
|
| 148 |
+
month = dec,
|
| 149 |
year = "2023",
|
| 150 |
address = "Singapore, Singapore",
|
| 151 |
publisher = "Association for Computational Linguistics",
|