# 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 NumericalReasoning(datasets.GeneratorBasedBuilder): """TODO: Short description of my dataset.""" VERSION = datasets.Version("0.1.0") BUILDER_CONFIGS = [ datasets.BuilderConfig(name="multiplication", version=VERSION, description="x1 x x2 = y"), datasets.BuilderConfig(name="addition", version=VERSION, description="x1 + x2 = y"), datasets.BuilderConfig(name="convert_min_sec", version=VERSION, description="x minutes equals y seconds"), datasets.BuilderConfig(name="convert_hour_min", version=VERSION, description="x hours equals y minutes"), datasets.BuilderConfig(name="convert_day_hour", version=VERSION, description="x days equals y hours"), datasets.BuilderConfig(name="convert_week_day", version=VERSION, description="x minutes equals y seconds"), datasets.BuilderConfig(name="convert_month_week", version=VERSION, description="x months equals y weeks"), datasets.BuilderConfig(name="convert_year_month", version=VERSION, description="x years equals y months"), datasets.BuilderConfig(name="convert_decade_year", version=VERSION, description="x decades equals y years"), ] DEFAULT_CONFIG_NAME = "multiplication" def _info(self): if (self.config.name == "multiplication") or (self.config.name == "addition"): features = datasets.Features( { "x1": datasets.Value("int32"), "x2": datasets.Value("int32"), "y": datasets.Value("int32") } ) else: features = datasets.Features( { "x": datasets.Value("int32"), "x_time_unit": datasets.Value("string"), "y": datasets.Value("int32") "y_time_unit": datasets.Value("string"), } ) return datasets.DatasetInfo( description=_DESCRIPTION, features=features, homepage=_HOMEPAGE, license=_LICENSE, citation=_CITATION, ) def _split_generators(self, dl_manager): return [ datasets.SplitGenerator( name=datasets.Split.TEST, gen_kwargs={ "split": "test" }, ), ] def _generate_examples(self, split): if self.config.name == "multiplication": key = 0 for x1 in range(0,100): for x2 in range(1,51): key += 1 yield key, { "x1": x1, "x2": x2, "y": x1*x2, } elif self.config.name == "addition": key = 0 for x1 in range(0,100): for x2 in range(1,51): key += 1 yield key, { "x1": x1, "x2": x2, "y": x1+x2, } else: if "min_sec" in self.config.name: x_time_unit = "minutes" y_time_unit = "seconds" multiplier = 60 elif "hour_min" in self.config.name: x_time_unit = "hours" y_time_unit = "minutes" multiplier = 60 elif "day_hour" in self.config.name: x_time_unit = "days" y_time_unit = "hours" multiplier = 24 elif "week_day" in self.config.name: x_time_unit = "weeks" y_time_unit = "days" multiplier = 7 elif "month_week" in self.config.name: x_time_unit = "months" y_time_unit = "weeks" multiplier = 30 elif "year_month" in self.config.name: x_time_unit = "years" y_time_unit = "months" multiplier = 12 elif "decade_year" in self.config.name: x_time_unit = "decades" y_time_unit = "years" multiplier = 10 for key, x in enumerate(range(0, 100)): yield key, { "x": x, "x_time_unit": x_time_unit, "y": multiplier*x, "y_time_unit": y_time_unit, }