changed datasets to have the first operand as the subset
Browse files
numerical_reasoning.py → numerical_reasoning_arithmetic.py
RENAMED
@@ -35,53 +35,31 @@ _HOMEPAGE = ""
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# TODO: Add the licence for the dataset here if you can find it
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_LICENSE = ""
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# The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
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# This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
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_URLS = {
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"first_domain": "https://huggingface.co/great-new-dataset-first_domain.zip",
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"second_domain": "https://huggingface.co/great-new-dataset-second_domain.zip",
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}
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# TODO: Name of the dataset usually matches the script name with CamelCase instead of snake_case
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class NumericalReasoning(datasets.GeneratorBasedBuilder):
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"""TODO: Short description of my dataset."""
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VERSION = datasets.Version("0.1.0")
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BUILDER_CONFIGS = [
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datasets.BuilderConfig(
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datasets.BuilderConfig(name="convert_week_day", version=VERSION, description="x minutes equals y seconds"),
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datasets.BuilderConfig(name="convert_month_week", version=VERSION, description="x months equals y weeks"),
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datasets.BuilderConfig(name="convert_year_month", version=VERSION, description="x years equals y months"),
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datasets.BuilderConfig(name="convert_decade_year", version=VERSION, description="x decades equals y years"),
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]
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DEFAULT_CONFIG_NAME = "multiplication"
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def _info(self):
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features = datasets.Features(
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{
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"x": datasets.Value("int32"),
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"x_time_unit": datasets.Value("string"),
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"y": datasets.Value("int32"),
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"y_time_unit": datasets.Value("string"),
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}
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)
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=features,
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@@ -102,67 +80,13 @@ class NumericalReasoning(datasets.GeneratorBasedBuilder):
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def _generate_examples(self, split):
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for
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key += 1
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yield key, {
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"x1": x1,
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"x2": x2,
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"y": x1*x2,
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}
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elif self.config.name == "addition":
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key = 0
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for x1 in range(0,100):
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for x2 in range(1,51):
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key += 1
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yield key, {
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"x1": x1,
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"x2": x2,
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"y": x1+x2,
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}
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else:
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if "min_sec" in self.config.name:
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x_time_unit = "minutes"
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y_time_unit = "seconds"
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multiplier = 60
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elif "hour_min" in self.config.name:
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x_time_unit = "hours"
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y_time_unit = "minutes"
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multiplier = 60
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elif "day_hour" in self.config.name:
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x_time_unit = "days"
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y_time_unit = "hours"
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multiplier = 24
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elif "week_day" in self.config.name:
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x_time_unit = "weeks"
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y_time_unit = "days"
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multiplier = 7
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elif "month_week" in self.config.name:
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x_time_unit = "months"
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y_time_unit = "weeks"
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multiplier = 30
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elif "year_month" in self.config.name:
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x_time_unit = "years"
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y_time_unit = "months"
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multiplier = 12
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elif "decade_year" in self.config.name:
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x_time_unit = "decades"
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y_time_unit = "years"
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multiplier = 10
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for key, x in enumerate(range(0, 100)):
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yield key, {
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"
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"
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"
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"
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}
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# TODO: Add the licence for the dataset here if you can find it
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_LICENSE = ""
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class NumericalReasoningArithmetic(datasets.GeneratorBasedBuilder):
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"""TODO: Short description of my dataset."""
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VERSION = datasets.Version("0.1.0")
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BUILDER_CONFIGS = [
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datasets.BuilderConfig(
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name="{}".format(num),
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version=VERSION,
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description="Task with {} as the first operand".format(num)) \
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for num in range(0,100)
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]
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DEFAULT_CONFIG_NAME = "multiplication"
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def _info(self):
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features = datasets.Features(
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{
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"x1": datasets.Value("string"),
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"x2": datasets.Value("string"),
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"y_mul": datasets.Value("int32"),
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"y_add": datasets.Value("int32"),
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}
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)
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=features,
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def _generate_examples(self, split):
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key = 0
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for x1 in range(0,100):
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for x2 in range(1,51):
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key += 1
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yield key, {
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"x1": x1,
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"x2": x2,
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"y_mul": x1*x2,
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"y_add": x1+x2,
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}
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