| import random |
| from datasets import ( |
| BuilderConfig, |
| SplitGenerator, |
| GeneratorBasedBuilder, |
| DatasetInfo, |
| Value, |
| Features, |
| ) |
| from decimal import Decimal |
| import yaml |
|
|
| SEED = 42 |
| TEST_SIZE = 0.2 |
| DIVISION_RESULT_MULTIPLIER = 4 |
| FLOAT_FLOAT_PROBLEM_PROPORTION = 0.3 |
|
|
| _CITATION = """\ |
| @misc{lee2024simplearithmeticproblemsdataset, |
| title = {Simple Arithmetic Problems}, |
| author={Garreth Lee}, |
| year={2024} |
| } |
| """ |
|
|
|
|
| class Operator: |
| ADD = "+" |
| SUBTRACT = "-" |
| MULTIPLY = "*" |
| DIVIDE = "/" |
|
|
| OPERATORS = [ADD, SUBTRACT, MULTIPLY, DIVIDE] |
|
|
| @classmethod |
| def is_operator(cls, value): |
| return value in cls.OPERATORS |
|
|
| @classmethod |
| def operator_to_name(cls, value): |
| if value == cls.ADD: |
| return "add" |
| elif value == cls.SUBTRACT: |
| return "subtract" |
| elif value == cls.MULTIPLY: |
| return "multiply" |
| elif value == cls.DIVIDE: |
| return "divide" |
| else: |
| raise ValueError(f"Invalid operator: {value}") |
|
|
|
|
| class OperationType: |
| INT_INT = [False, False] |
| INT_FLOAT = [True, False] |
| FLOAT_FLOAT = [True, True] |
|
|
|
|
| class ArithmeticProblemsConfig: |
| def __init__( |
| self, |
| config_file_path: str, |
| ) -> None: |
| with open(config_file_path) as f: |
| self.config = yaml.safe_load(f) |
|
|
|
|
| class ArithmeticProblemsConfig(BuilderConfig): |
| def __init__( |
| self, |
| name: str, |
| num_problems: int, |
| min_exponent: int, |
| max_exponent: int, |
| max_rounding_precision: int, |
| use_commas: bool = False, |
| **kwargs, |
| ): |
| super().__init__(name=name) |
| self.num_problems = num_problems |
| self.min_exponent = min_exponent |
| self.max_exponent = max_exponent |
| self.max_rounding_precision = max_rounding_precision |
| self.use_commas = use_commas |
| self.kwargs = kwargs |
|
|
|
|
| class ArithmeticProblemsDataset(GeneratorBasedBuilder): |
| BUILDER_CONFIG_CLASS = ArithmeticProblemsConfig |
| FLOAT_ANSWER_ROUNDING_PRECISION = 4 |
|
|
| BUILDER_CONFIGS = [ |
| ArithmeticProblemsConfig( |
| name="very_easy", |
| num_problems=5000, |
| min_exponent=0, |
| max_exponent=1, |
| max_rounding_precision=1, |
| ), |
| ArithmeticProblemsConfig( |
| name="easy", |
| num_problems=5000, |
| min_exponent=0, |
| max_exponent=2, |
| max_rounding_precision=2, |
| ), |
| ArithmeticProblemsConfig( |
| name="medium", |
| num_problems=5000, |
| min_exponent=1, |
| max_exponent=3, |
| max_rounding_precision=3, |
| ), |
| ArithmeticProblemsConfig( |
| name="hard", |
| num_problems=5000, |
| min_exponent=1, |
| max_exponent=4, |
| max_rounding_precision=4, |
| ), |
| ArithmeticProblemsConfig( |
| name="very_hard", |
| num_problems=5000, |
| min_exponent=2, |
| max_exponent=5, |
| max_rounding_precision=5, |
| ), |
| ArithmeticProblemsConfig( |
| name="very_easy_use_commas", |
| num_problems=5000, |
| min_exponent=0, |
| max_exponent=1, |
| max_rounding_precision=1, |
| use_commas=True, |
| ), |
| ArithmeticProblemsConfig( |
| name="easy_use_commas", |
| num_problems=5000, |
| min_exponent=0, |
| max_exponent=2, |
| max_rounding_precision=2, |
| use_commas=True, |
| ), |
| ArithmeticProblemsConfig( |
| name="medium_use_commas", |
| num_problems=5000, |
| min_exponent=1, |
| max_exponent=3, |
| max_rounding_precision=3, |
| use_commas=True, |
| ), |
| ArithmeticProblemsConfig( |
| name="hard_use_commas", |
| num_problems=5000, |
| min_exponent=1, |
| max_exponent=4, |
| max_rounding_precision=4, |
| use_commas=True, |
| ), |
| ArithmeticProblemsConfig( |
| name="very_hard_use_commas", |
| num_problems=5000, |
| min_exponent=2, |
| max_exponent=5, |
| max_rounding_precision=5, |
| use_commas=True, |
| ), |
| ] |
|
|
| VERSION = "1.0.0" |
|
|
| def _info(self): |
| return DatasetInfo( |
| description="Generate arithmetic problems for use in math tokenization", |
| features=Features( |
| { |
| "question": Value("string"), |
| "answer": Value("string"), |
| "operator": Value("string"), |
| } |
| ), |
| citation=_CITATION, |
| ) |
|
|
| def _generate_number( |
| self, min_val: int, max_val: int, is_float: bool, max_rounding_precision: int |
| ) -> float | int: |
| """ |
| Generates a random number within a specified range, either as an integer or float. |
| |
| Args: |
| min_val: The minimum value of the range. |
| max_val: The maximum value of the range. |
| is_float: If true, generates a float |
| max_rounding_precision: The maximum precision to use when rounding the number. |
| |
| Returns: |
| A random number within the specified range, either as an int or a float. |
| """ |
| if is_float: |
| |
| return round( |
| random.uniform(min_val, max_val), |
| random.choice(range(1, max_rounding_precision + 1)), |
| ) |
| else: |
| return random.randint(min_val, max_val) |
|
|
| def _format_number(self, number: int | float, use_commas: bool = False) -> str: |
| """ |
| Rounds a number to a specified precision, and then formats it as a string. |
| |
| Args: |
| number: The number to be formatted. |
| use_commas: Whether to include commas as thousand separators. |
| |
| Returns: |
| A string representation of the input number, rounded to the specified precision. |
| """ |
| if use_commas: |
| return "{:,}".format(number) |
| else: |
| return str(number) |
|
|
| def _construct_equation( |
| self, |
| operand1: int | float, |
| operand2: int | float, |
| operator: str, |
| use_commas: bool = False, |
| ) -> str: |
| """Helper function for constructing the string equations.""" |
|
|
| return "%s %s %s = " % ( |
| self._format_number(operand1, use_commas), |
| operator, |
| self._format_number(operand2, use_commas), |
| ) |
|
|
| def create_question_answer_pair( |
| self, |
| min_value: int, |
| max_value: int, |
| operator: str, |
| use_commas: bool, |
| operation_type: list[bool], |
| max_rounding_precision: int | None, |
| ) -> dict[str, str]: |
| """Creates a random question and correct answer pair. |
| |
| Args: |
| min_value: The lowest possible random value. |
| max_value: The highest possible random value. |
| include_decimals: Whether to include float numbers in the generated problems. |
| operator: The mathematical operator to use. |
| use_commas: Whether to use commas to separate numbers right-to-left. |
| |
| Returns: |
| A dictionary containing the equation string and the expected answer. |
| """ |
| if not Operator.is_operator(operator): |
| raise ValueError(f"Invalid operator: {operator}") |
|
|
| is_float1, is_float2 = operation_type |
| operand1 = self._generate_number( |
| min_val=min_value, |
| max_val=max_value, |
| is_float=is_float1, |
| max_rounding_precision=max_rounding_precision, |
| ) |
| operand2 = self._generate_number( |
| min_val=min_value, |
| max_val=max_value, |
| is_float=is_float2, |
| max_rounding_precision=max_rounding_precision, |
| ) |
|
|
| if operator == Operator.SUBTRACT: |
| result = operand1 - operand2 |
| elif operator == Operator.ADD: |
| result = operand1 + operand2 |
| elif operator == Operator.MULTIPLY: |
| result = operand1 * operand2 |
| else: |
| |
| if operand1 < operand2 or random.random() < 0.01: |
| operand1, operand2 = operand2, operand1 |
|
|
| if operation_type == OperationType.INT_INT: |
| tmp = operand1 / operand2 |
|
|
| |
| if tmp < 10: |
| tmp *= DIVISION_RESULT_MULTIPLIER |
| if max_value > 999: |
| tmp *= random.randint(2, 4) |
|
|
| |
| operand1 = int(round(tmp)) * operand2 |
| result = int(operand1 / operand2) |
|
|
| elif operation_type == OperationType.INT_FLOAT: |
| operand2 = int(operand2) |
| tmp = round( |
| operand1 / operand2, |
| random.randint(1, max_rounding_precision), |
| ) |
|
|
| |
| if tmp < 10: |
| tmp = float( |
| Decimal(str(tmp)) * Decimal(str(DIVISION_RESULT_MULTIPLIER)) |
| ) |
|
|
| |
| operand1 = float(Decimal(str(tmp)) * Decimal(str(operand2))) |
| result = tmp |
|
|
| else: |
| tmp = round( |
| operand1 / operand2, random.randint(1, max_rounding_precision) |
| ) |
|
|
| |
| if tmp < 10: |
| tmp = float( |
| Decimal(str(tmp)) * Decimal(str(DIVISION_RESULT_MULTIPLIER)) |
| ) |
|
|
| |
| operand1 = float(Decimal(str(tmp)) * Decimal(str(operand2))) |
| result = tmp |
|
|
| result = round(result, self.FLOAT_ANSWER_ROUNDING_PRECISION) |
|
|
| question = self._construct_equation( |
| operand1=operand1, |
| operand2=operand2, |
| operator=operator, |
| use_commas=use_commas, |
| ) |
| answer = self._format_number(result, use_commas) |
|
|
| return {"question": question, "answer": answer, "operator": operator} |
|
|
| def _split_generators(self, dl_manager, **kwargs) -> list[SplitGenerator]: |
| generators = [] |
|
|
| for operator in Operator.OPERATORS: |
| |
| for type in ("int", "float"): |
| split_name = f"{type}_{Operator.operator_to_name(operator)}" |
|
|
| train_generator = SplitGenerator( |
| name=split_name + "_train", |
| gen_kwargs={ |
| "num_problems": int(self.config.num_problems * (1 - TEST_SIZE)), |
| "min_value": 10**self.config.min_exponent, |
| "max_value": 10**self.config.max_exponent, |
| "max_rounding_precision": self.config.max_rounding_precision |
| if type == "float" |
| else None, |
| "use_commas": self.config.use_commas, |
| "operator": operator, |
| }, |
| ) |
|
|
| test_generator = SplitGenerator( |
| name=split_name + "_test", |
| gen_kwargs={ |
| "num_problems": int(self.config.num_problems * TEST_SIZE), |
| "min_value": 10**self.config.min_exponent, |
| "max_value": 10**self.config.max_exponent, |
| "max_rounding_precision": self.config.max_rounding_precision |
| if type == "float" |
| else None, |
| "use_commas": self.config.use_commas, |
| "operator": operator, |
| }, |
| ) |
|
|
| generators.append(train_generator) |
| generators.append(test_generator) |
|
|
| return generators |
|
|
| def _generate_examples( |
| self, |
| num_problems, |
| min_value, |
| max_value, |
| max_rounding_precision, |
| use_commas, |
| operator, |
| ): |
| def _get_operation_type(current_idx: int): |
| |
| """ |
| Determines the type of operation (integer-integer, float-float, or integer-float) |
| to generate based on the current index and the proportion of float problems. |
| |
| Args: |
| current_idx: The current index of the problem being generated. |
| num_problems: The total number of problems to generate. |
| max_rounding_precision: The maximum rounding precision to use when generating float problems. |
| |
| Returns: |
| An OperationType indicating the type of operation to generate. |
| """ |
| if max_rounding_precision is None: |
| return OperationType.INT_INT |
|
|
| |
| elif current_idx < num_problems * FLOAT_FLOAT_PROBLEM_PROPORTION: |
| return OperationType.FLOAT_FLOAT |
|
|
| else: |
| return OperationType.INT_FLOAT |
|
|
| random.seed(SEED) |
|
|
| for i in range(num_problems): |
| yield ( |
| str(i), |
| self.create_question_answer_pair( |
| min_value=min_value, |
| max_value=max_value, |
| operator=operator, |
| use_commas=use_commas, |
| operation_type=_get_operation_type(i), |
| max_rounding_precision=max_rounding_precision, |
| ), |
| ) |
|
|