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README.md

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-# Numerical Reasoning

arithmetic_addition/numerical_reasoning-test.parquet

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arithmetic_multiplication/numerical_reasoning-test.parquet

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numerical_reasoning.py

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-# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-# TODO: Address all TODOs and remove all explanatory comments
-"""TODO: Add a description here."""
-
-
-import csv
-import json
-import os
-
-import datasets
-
-
-# TODO: Add BibTeX citation
-# Find for instance the citation on arxiv or on the dataset repo/website
-_CITATION = """\
-
-"""
-
-# TODO: Add description of the dataset here
-# You can copy an official description
-_DESCRIPTION = """\
-    Generated dataset for testing numerical reasoning
-"""
-
-# TODO: Add a link to an official homepage for the dataset here
-_HOMEPAGE = ""
-
-# TODO: Add the licence for the dataset here if you can find it
-_LICENSE = ""
-
-# TODO: Add link to the official dataset URLs here
-# The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
-# This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
-_URLS = {
-    "first_domain": "https://huggingface.co/great-new-dataset-first_domain.zip",
-    "second_domain": "https://huggingface.co/great-new-dataset-second_domain.zip",
-}
-
-
-# TODO: Name of the dataset usually matches the script name with CamelCase instead of snake_case
-class NewDataset(datasets.GeneratorBasedBuilder):
-    """TODO: Short description of my dataset."""
-
-    VERSION = datasets.Version("0.1.0")
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name="arithmetic_multiplication", version=VERSION, description="x1 x x2 = y"),
-        datasets.BuilderConfig(name="arithmetic_addition", version=VERSION, description="x1 + x2 = y"),
-        datasets.BuilderConfig(name="op_infer_mult", version=VERSION, description="x1 # x2 = y, must infer that # is multiplication"),
-        datasets.BuilderConfig(name="op_infer_add", version=VERSION, description="x1 # x2 = y, must infer that # is addition"),
-        datasets.BuilderConfig(name="time_unit_min_sec", version=VERSION, description="x minutes equals y seconds"),
-        datasets.BuilderConfig(name="time_unit_hour_min", version=VERSION, description="x hours equals y minutes"),
-        datasets.BuilderConfig(name="time_unit_day_hour", version=VERSION, description="x days equals y hours"),
-        datasets.BuilderConfig(name="time_unit_week_day", version=VERSION, description="x minutes equals y seconds"),
-        datasets.BuilderConfig(name="time_unit_month_week", version=VERSION, description="x months equals y weeks"),
-        datasets.BuilderConfig(name="time_unit_year_month", version=VERSION, description="x years equals y months"),
-        datasets.BuilderConfig(name="time_unit_decade_year", version=VERSION, description="x decades equals y years"),
-    ]
-
-    DEFAULT_CONFIG_NAME = "first_domain"  # It's not mandatory to have a default configuration. Just use one if it make sense.
-
-    def _info(self):
-        if ("arithmetic" in self.config.name) or ("op_infer" in self.config.name):  # This is the name of the configuration selected in BUILDER_CONFIGS above
-            features = datasets.Features(
-                {
-                    "x1": datasets.Value("int32"),
-                    "x2": datasets.Value("int32"),
-                    "y": datasets.Value("int32")
-                }
-            )
-        else:
-            features = datasets.Features(
-                {
-                    "x1": datasets.Value("int32"),
-                    "time_unit": datasets.Value("string"),
-                    "y": datasets.Value("int32")
-                }
-            )
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,  # Here we define them above because they are different between the two configurations
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "split": "test"
-                },
-            ),
-        ]
-
-    def _generate_examples(self, split):
-
-        if ("arithmetic" in self.config.name) or ("op_infer" in self.config.name):
-            key = 0
-            for x1 in range(0,100):
-                for x2 in range(1,51):
-                    key += 1
-                    # Yields examples as (key, example) tuples
-                    yield key, {
-                        "x1": x1,
-                        "x2": x2,
-                        "y": x1*x2,
-                    }
-        else:
-            if "min_sec" in self.config.name:
-                time_unit = "minutes"
-                multiplier = 60
-
-            elif "hour_min" in self.config.name:
-                time_unit = "hours"
-                multiplier = 60
-
-            elif "day_hour" in self.config.name:
-                time_unit = "days"
-                multiplier = 24
-
-            elif "week_day" in self.config.name:
-                time_unit = "weeks"
-                multiplier = 7
-
-            elif "month_week" in self.config.name:
-                time_unit = "months"
-                multiplier = 30
-
-            elif "year_month" in self.config.name:
-                time_unit = "years"
-                multiplier = 12
-
-            elif "decade_year" in self.config.name:
-                time_unit = "decades"
-                multiplier = 10
-
-            for key, x1 in enumerate(range(0, 100)):
-                yield key, {
-                    "x1": x1,
-                    "time_unit": time_unit,
-                    "y": multiplier*x1,
-                }

op_infer_add/numerical_reasoning-test.parquet

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op_infer_mult/numerical_reasoning-test.parquet

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time_unit_day_hour/numerical_reasoning-test.parquet

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time_unit_decade_year/numerical_reasoning-test.parquet

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time_unit_hour_min/numerical_reasoning-test.parquet

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time_unit_min_sec/numerical_reasoning-test.parquet

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time_unit_month_week/numerical_reasoning-test.parquet

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time_unit_week_day/numerical_reasoning-test.parquet

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time_unit_year_month/numerical_reasoning-test.parquet

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