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metadata
dataset_info:
  features:
    - name: id
      dtype: int64
    - name: text
      dtype: string
  splits:
    - name: train
      num_bytes: 225647910
      num_examples: 2886810
    - name: test
      num_bytes: 23848817
      num_examples: 311298
  download_size: 131762427
  dataset_size: 249496727

Dataset Card for "math_formulas"

Mathematical dataset containing formulas based on the AMPS Khan dataset and the ARQMath dataset V1.3. Based on the retrieved LaTeX formulas, more equivalent versions have been generated by applying randomized LaTeX printing with this SymPy fork. 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).