| dataset_info: | |
| features: | |
| - name: id | |
| dtype: int64 | |
| - name: text | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 225647910.0 | |
| num_examples: 2886810 | |
| - name: test | |
| num_bytes: 23848817.0 | |
| num_examples: 311298 | |
| download_size: 131750232 | |
| dataset_size: 249496727.0 | |
| # Dataset Card for "math_formulas" | |
| Mathematical dataset containing formulas based on the [AMPS](https://drive.google.com/file/d/1hQsua3TkpEmcJD_UWQx8dmNdEZPyxw23) Khan dataset and the [ARQMath](https://drive.google.com/drive/folders/1YekTVvfmYKZ8I5uiUMbs21G2mKwF9IAm) dataset V1.3. Based on the retrieved LaTeX formulas, more equivalent versions have been generated by applying randomized LaTeX printing with this [SymPy fork](https://drive.google.com/drive/folders/1YekTVvfmYKZ8I5uiUMbs21G2mKwF9IAm). The formulas are intended to be well applicable for MLM. For instance, a masking for a formula like `(a+b)^2 = a^2 + 2ab + b^2` makes sense (e.g., `(a+[MASK])^2 = a^2 + [MASK]ab + b[MASK]2` -> masked tokens are deducable by the context), in contrast, formulas such as `f(x) = 3x+1` are not (e.g., `[MASK](x) = 3x[MASK]1` -> [MASK] tokens are ambigious). |