Delete loading script

simple-arithmetic-problems.py

@@ -1,433 +0,0 @@
-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:
-            # Round to a random precision between 0 and max_rounding_precision
-            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:
-            # this prevents a lot of "0" answers from being generated
-            if operand1 < operand2 or random.random() < 0.01:
-                operand1, operand2 = operand2, operand1
-
-            if operation_type == OperationType.INT_INT:
-                tmp = operand1 / operand2
-
-                # we scale the temp result up to prevent a lot of "small divisions"
-                if tmp < 10:
-                    tmp *= DIVISION_RESULT_MULTIPLIER
-                if max_value > 999:
-                    tmp *= random.randint(2, 4)
-
-                # prevents zero division
-                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),
-                )
-
-                # we scale the temp result up to prevent a lot of "small divisions"
-                if tmp < 10:
-                    tmp = float(
-                        Decimal(str(tmp)) * Decimal(str(DIVISION_RESULT_MULTIPLIER))
-                    )
-
-                # deals with Python's decimal multiplication precision issue
-                operand1 = float(Decimal(str(tmp)) * Decimal(str(operand2)))
-                result = tmp
-
-            else:
-                tmp = round(
-                    operand1 / operand2, random.randint(1, max_rounding_precision)
-                )
-
-                # we scale the temp result up to prevent a lot of "small divisions"
-                if tmp < 10:
-                    tmp = float(
-                        Decimal(str(tmp)) * Decimal(str(DIVISION_RESULT_MULTIPLIER))
-                    )
-
-                # deals with Python's decimal multiplication precision issue
-                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:
-            # Create separate splits for each type of number
-            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):
-            # If max_rounding_precision is None, generate only integer problems
-            """
-            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
-
-            # Otherwise, if the current index is less than the float problem proportion,
-            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,
-                ),
-            )