Datasets:
Initial commit
Browse filesThis dataset is a quick-and-dirty benchmark for predicting ratings across
different domains and on different rating scales based on text. It pulls in a
bunch of rating datasets, takes at most 1000 instances from each and combines
them into a big dataset.
- .gitignore +1 -0
- README.md +8 -3
- cross_domain_review_benchmark.py +228 -0
- poetry.lock +1058 -0
- pyproject.toml +17 -0
.gitignore
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/__pycache__
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README.md
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-
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license: unknown
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----
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-license: unknown
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----
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This dataset is a quick-and-dirty benchmark for predicting ratings across
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different domains and on different rating scales based on text. It pulls in a
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bunch of rating datasets, takes at most 1000 instances from each and combines
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them into a big dataset.
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cross_domain_review_benchmark.py
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# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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This dataset is a quick-and-dirty benchmark for predicting ratings across
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different domains and on different rating scales based on text. It pulls in a
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bunch of rating datasets, takes at most 1000 instances from each and combines
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them into a big dataset.
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"""
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import datasets
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from dataclasses import dataclass
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from typing import Callable, Any
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import operator
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import shutil
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import os
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import sys
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from os.path import join as pjoin
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from datasets import concatenate_datasets, load_dataset
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from more_itertools.recipes import take
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@dataclass
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class SubDataset:
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source: Any
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nick: str
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out_of: int
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get_review: Callable[[Any], Any]
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get_rating: Callable[[Any], Any]
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gi = operator.itemgetter
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def warn(msg):
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print(file=sys.stderr)
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print(f" ** Warning: {msg} **", file=sys.stderr)
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print(file=sys.stderr)
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def round_near(x, eps=0.001):
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x_rnd = int(x + 0.5)
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if abs(x_rnd - x) > eps:
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warn("got {x_rnd} when rounding {x}")
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return x_rnd
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@dataclass
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class SplitHFSrc:
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name: str
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def load(self):
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return load_dataset(self.name, streaming=True)
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@dataclass
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class TrainOnlyHFSrc:
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name: str
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def load(self):
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if hasattr(self, "_cached"):
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return self._cached
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self._cached = load_dataset(self.name)["train"].train_test_split(test_size=0.5, seed=42)
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return self._cached
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_kaggle_api = None
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def get_kaggle_api():
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global _kaggle_api
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if _kaggle_api is not None:
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return _kaggle_api
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from kaggle.api.kaggle_api_extended import KaggleApi
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_kaggle_api = KaggleApi()
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_kaggle_api.authenticate()
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return _kaggle_api
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@dataclass
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class KaggleSrc:
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name: str
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file: str
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def load(self):
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if hasattr(self, "_cached"):
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return self._cached
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kaggle_api = get_kaggle_api()
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dir_name = self.name.replace("/", "__")
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if os.path.exists(dir_name):
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shutil.rmtree(dir_name)
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os.mkdir(dir_name)
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try:
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file_path = pjoin(dir_name, self.file.rsplit("/", 1)[-1])
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kaggle_api.dataset_download_file(self.name, self.file, path=dir_name)
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dataset = load_dataset("csv", data_files=file_path + ".zip")
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return dataset["train"].train_test_split(test_size=0.5, seed=42)
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finally:
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shutil.rmtree(dir_name)
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def int_or_drop(col):
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def inner(row):
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try:
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n = float(row[col])
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except ValueError:
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return None
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return round_near(n)
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return inner
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DATASETS = [
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SubDataset(SplitHFSrc("juliensimon/amazon-shoe-reviews"), "amazon-shoes", 5, gi("text"), lambda row: row["labels"] + 1),
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# TODO: Appears to be corrupt
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#SubDataset("florentgbelidji/edmunds-car-ratings", "car-ratings", 40, lambda row: row["Review"].strip(), lambda row: round_near(row["Rating"] * 8) - 7),
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SubDataset(TrainOnlyHFSrc("florentgbelidji/car-reviews"), "car-ratings", 5, gi("Review"), gi("Rating")),
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SubDataset(SplitHFSrc("codyburker/yelp_review_sampled"), "yelp", 5, gi("text"), gi("stars")),
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SubDataset(SplitHFSrc("kkotkar1/course-reviews"), "course-reviews", 5, gi("review"), gi("label")),
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SubDataset(TrainOnlyHFSrc("app_reviews"), "app-reviews", 5, gi("review"), gi("star")),
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SubDataset(TrainOnlyHFSrc("LoganKells/amazon_product_reviews_video_games"), "amazon-games", 5, gi("reviewText"), lambda row: round_near(row["overall"]) + 1),
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SubDataset(KaggleSrc("zynicide/wine-reviews", "winemag-data-130k-v2.csv"), "wine-reviews", 100, gi("description"), gi("points")),
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SubDataset(KaggleSrc("sadmadlad/imdb-user-reviews", "Pulp Fiction/movieReviews.csv"), "imdb-user-reviews", 10, gi("Review"), int_or_drop("User's Rating out of 10")),
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# TODO: Unicode decoding error
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#SubDataset(KaggleSrc("arushchillar/disneyland-reviews", "DisneylandReviews.csv"), "disneyland-reviews", 5, gi("Review_Text"), gi("Rating")),
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]
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_DESCRIPTION = __doc__
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_HOMEPAGE = ""
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_LICENSE = "Mixed"
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class CrossDomainReviewBenchmarkDataset(datasets.GeneratorBasedBuilder):
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_DESCRIPTION
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VERSION = datasets.Version("1.0.0")
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def _info(self):
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features = datasets.Features(
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{
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"text": datasets.Value("string"),
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"rating": datasets.Value("uint8"),
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"out_of": datasets.Value("uint8"),
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"dataset": datasets.Value("string")
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}
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)
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return datasets.DatasetInfo(
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# This is the description that will appear on the datasets page.
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description=_DESCRIPTION,
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# This defines the different columns of the dataset and their types
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features=features, # Here we define them above because they are different between the two configurations
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# If there's a common (input, target) tuple from the features, uncomment supervised_keys line below and
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# specify them. They'll be used if as_supervised=True in builder.as_dataset.
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supervised_keys=("text", "rating"),
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# Homepage of the dataset for documentation
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homepage=_HOMEPAGE,
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# License for the dataset if available
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license=_LICENSE,
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# Citation for the dataset
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citation="",
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)
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def _split_generators(self, dl_manager):
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"split": "train",
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},
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),
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datasets.SplitGenerator(
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name=datasets.Split.TEST,
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gen_kwargs={
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"split": "test"
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},
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),
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]
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def _generate_examples(self, split):
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key = 0
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for ds_info in DATASETS:
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subdataset = ds_info.source.load()
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lowest = float("inf")
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highest = float("-inf")
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got = 0
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for row in subdataset[split]:
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review = ds_info.get_review(row)
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if review is None:
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continue
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rating = ds_info.get_rating(row)
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if rating is None:
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continue
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assert 1 <= rating <= ds_info.out_of, f"Expected {rating} (inclusively) between 1 and {ds_info.out_of}"
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lowest = min(lowest, rating)
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highest = max(highest, rating)
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yield key, {
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"text": review,
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"rating": rating,
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"out_of": ds_info.out_of,
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"dataset": ds_info.nick
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}
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key += 1
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got += 1
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if got >= 1000:
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break
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if lowest != 1:
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warn(
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f"Lowest rating in {ds_info.nick} was {lowest}, "
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"would suppose it would be 1"
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)
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if highest != ds_info.out_of:
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warn(
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f"Highest rating in {ds_info.nick} was {highest}, "
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f"would suppose it would be {ds_info.out_of}"
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)
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poetry.lock
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|
1 |
+
[[package]]
|
2 |
+
name = "aiohttp"
|
3 |
+
version = "3.8.3"
|
4 |
+
description = "Async http client/server framework (asyncio)"
|
5 |
+
category = "main"
|
6 |
+
optional = false
|
7 |
+
python-versions = ">=3.6"
|
8 |
+
|
9 |
+
[package.dependencies]
|
10 |
+
aiosignal = ">=1.1.2"
|
11 |
+
async-timeout = ">=4.0.0a3,<5.0"
|
12 |
+
attrs = ">=17.3.0"
|
13 |
+
charset-normalizer = ">=2.0,<3.0"
|
14 |
+
frozenlist = ">=1.1.1"
|
15 |
+
multidict = ">=4.5,<7.0"
|
16 |
+
yarl = ">=1.0,<2.0"
|
17 |
+
|
18 |
+
[package.extras]
|
19 |
+
speedups = ["Brotli", "aiodns", "cchardet"]
|
20 |
+
|
21 |
+
[[package]]
|
22 |
+
name = "aiosignal"
|
23 |
+
version = "1.2.0"
|
24 |
+
description = "aiosignal: a list of registered asynchronous callbacks"
|
25 |
+
category = "main"
|
26 |
+
optional = false
|
27 |
+
python-versions = ">=3.6"
|
28 |
+
|
29 |
+
[package.dependencies]
|
30 |
+
frozenlist = ">=1.1.0"
|
31 |
+
|
32 |
+
[[package]]
|
33 |
+
name = "async-timeout"
|
34 |
+
version = "4.0.2"
|
35 |
+
description = "Timeout context manager for asyncio programs"
|
36 |
+
category = "main"
|
37 |
+
optional = false
|
38 |
+
python-versions = ">=3.6"
|
39 |
+
|
40 |
+
[[package]]
|
41 |
+
name = "attrs"
|
42 |
+
version = "22.1.0"
|
43 |
+
description = "Classes Without Boilerplate"
|
44 |
+
category = "main"
|
45 |
+
optional = false
|
46 |
+
python-versions = ">=3.5"
|
47 |
+
|
48 |
+
[package.extras]
|
49 |
+
dev = ["cloudpickle", "coverage[toml] (>=5.0.2)", "furo", "hypothesis", "mypy (>=0.900,!=0.940)", "pre-commit", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "sphinx", "sphinx-notfound-page", "zope.interface"]
|
50 |
+
docs = ["furo", "sphinx", "sphinx-notfound-page", "zope.interface"]
|
51 |
+
tests = ["cloudpickle", "coverage[toml] (>=5.0.2)", "hypothesis", "mypy (>=0.900,!=0.940)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "zope.interface"]
|
52 |
+
tests_no_zope = ["cloudpickle", "coverage[toml] (>=5.0.2)", "hypothesis", "mypy (>=0.900,!=0.940)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins"]
|
53 |
+
|
54 |
+
[[package]]
|
55 |
+
name = "certifi"
|
56 |
+
version = "2022.9.24"
|
57 |
+
description = "Python package for providing Mozilla's CA Bundle."
|
58 |
+
category = "main"
|
59 |
+
optional = false
|
60 |
+
python-versions = ">=3.6"
|
61 |
+
|
62 |
+
[[package]]
|
63 |
+
name = "charset-normalizer"
|
64 |
+
version = "2.1.1"
|
65 |
+
description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
|
66 |
+
category = "main"
|
67 |
+
optional = false
|
68 |
+
python-versions = ">=3.6.0"
|
69 |
+
|
70 |
+
[package.extras]
|
71 |
+
unicode_backport = ["unicodedata2"]
|
72 |
+
|
73 |
+
[[package]]
|
74 |
+
name = "colorama"
|
75 |
+
version = "0.4.5"
|
76 |
+
description = "Cross-platform colored terminal text."
|
77 |
+
category = "main"
|
78 |
+
optional = false
|
79 |
+
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
|
80 |
+
|
81 |
+
[[package]]
|
82 |
+
name = "datasets"
|
83 |
+
version = "2.5.2"
|
84 |
+
description = "HuggingFace community-driven open-source library of datasets"
|
85 |
+
category = "main"
|
86 |
+
optional = false
|
87 |
+
python-versions = ">=3.7.0"
|
88 |
+
|
89 |
+
[package.dependencies]
|
90 |
+
aiohttp = "*"
|
91 |
+
dill = "<0.3.6"
|
92 |
+
fsspec = {version = ">=2021.11.1", extras = ["http"]}
|
93 |
+
huggingface-hub = ">=0.2.0,<1.0.0"
|
94 |
+
multiprocess = "*"
|
95 |
+
numpy = ">=1.17"
|
96 |
+
packaging = "*"
|
97 |
+
pandas = "*"
|
98 |
+
pyarrow = ">=6.0.0"
|
99 |
+
requests = ">=2.19.0"
|
100 |
+
responses = "<0.19"
|
101 |
+
tqdm = ">=4.62.1"
|
102 |
+
xxhash = "*"
|
103 |
+
|
104 |
+
[package.extras]
|
105 |
+
apache-beam = ["apache-beam (>=2.26.0)"]
|
106 |
+
audio = ["librosa"]
|
107 |
+
benchmarks = ["numpy (==1.18.5)", "tensorflow (==2.3.0)", "torch (==1.7.1)", "transformers (==3.0.2)"]
|
108 |
+
dev = ["Pillow (>=6.2.1)", "Werkzeug (>=1.0.1)", "absl-py", "aiobotocore (>=2.0.1)", "apache-beam (>=2.26.0)", "bert-score (>=0.3.6)", "black (>=22.0,<23.0)", "boto3 (>=1.19.8)", "botocore (>=1.22.8)", "bs4", "conllu", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "flake8 (>=3.8.3)", "fsspec[s3]", "h5py", "isort (>=5.0.0)", "jiwer", "langdetect", "librosa", "lxml", "lz4", "mauve-text", "moto[s3,server] (==2.0.4)", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "pytest", "pytest-datadir", "pytest-xdist", "pyyaml (>=5.3.1)", "rarfile (>=4.0)", "requests-file (>=1.5.1)", "rouge-score", "s3fs (>=2021.11.1)", "sacrebleu", "sacremoses", "scikit-learn", "scipy", "sentencepiece", "seqeval", "six (>=1.15.0,<1.16.0)", "soundfile", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "texttable (>=1.6.3)", "tldextract", "tldextract (>=3.1.0)", "toml (>=0.10.1)", "torch", "torchaudio (<0.12.0)", "transformers", "zstandard"]
|
109 |
+
docs = ["s3fs"]
|
110 |
+
quality = ["black (>=22.0,<23.0)", "flake8 (>=3.8.3)", "isort (>=5.0.0)", "pyyaml (>=5.3.1)"]
|
111 |
+
s3 = ["boto3", "botocore", "fsspec", "s3fs"]
|
112 |
+
tensorflow = ["tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)"]
|
113 |
+
tensorflow_gpu = ["tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)"]
|
114 |
+
tests = ["Pillow (>=6.2.1)", "Werkzeug (>=1.0.1)", "absl-py", "aiobotocore (>=2.0.1)", "apache-beam (>=2.26.0)", "bert-score (>=0.3.6)", "boto3 (>=1.19.8)", "botocore (>=1.22.8)", "bs4", "conllu", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "fsspec[s3]", "h5py", "jiwer", "langdetect", "librosa", "lxml", "lz4", "mauve-text", "moto[s3,server] (==2.0.4)", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "requests-file (>=1.5.1)", "rouge-score", "s3fs (>=2021.11.1)", "sacrebleu", "sacremoses", "scikit-learn", "scipy", "sentencepiece", "seqeval", "six (>=1.15.0,<1.16.0)", "soundfile", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "texttable (>=1.6.3)", "tldextract", "tldextract (>=3.1.0)", "toml (>=0.10.1)", "torch", "torchaudio (<0.12.0)", "transformers", "zstandard"]
|
115 |
+
torch = ["torch"]
|
116 |
+
vision = ["Pillow (>=6.2.1)"]
|
117 |
+
|
118 |
+
[[package]]
|
119 |
+
name = "dill"
|
120 |
+
version = "0.3.5.1"
|
121 |
+
description = "serialize all of python"
|
122 |
+
category = "main"
|
123 |
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124 |
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python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
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graph = ["objgraph (>=1.7.2)"]
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129 |
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[[package]]
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130 |
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name = "filelock"
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131 |
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version = "3.8.0"
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132 |
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description = "A platform independent file lock."
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133 |
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category = "main"
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134 |
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optional = false
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135 |
+
python-versions = ">=3.7"
|
136 |
+
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137 |
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[package.extras]
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138 |
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docs = ["furo (>=2022.6.21)", "sphinx (>=5.1.1)", "sphinx-autodoc-typehints (>=1.19.1)"]
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testing = ["covdefaults (>=2.2)", "coverage (>=6.4.2)", "pytest (>=7.1.2)", "pytest-cov (>=3)", "pytest-timeout (>=2.1)"]
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140 |
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141 |
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[[package]]
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142 |
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name = "frozenlist"
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143 |
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144 |
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description = "A list-like structure which implements collections.abc.MutableSequence"
|
145 |
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category = "main"
|
146 |
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optional = false
|
147 |
+
python-versions = ">=3.7"
|
148 |
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149 |
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[[package]]
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150 |
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151 |
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version = "2022.8.2"
|
152 |
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description = "File-system specification"
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153 |
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category = "main"
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154 |
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optional = false
|
155 |
+
python-versions = ">=3.7"
|
156 |
+
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157 |
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[package.dependencies]
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158 |
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aiohttp = {version = "<4.0.0a0 || >4.0.0a0,<4.0.0a1 || >4.0.0a1", optional = true, markers = "extra == \"http\""}
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159 |
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requests = {version = "*", optional = true, markers = "extra == \"http\""}
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160 |
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161 |
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162 |
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abfs = ["adlfs"]
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163 |
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adl = ["adlfs"]
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164 |
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arrow = ["pyarrow (>=1)"]
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165 |
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dask = ["dask", "distributed"]
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166 |
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dropbox = ["dropbox", "dropboxdrivefs", "requests"]
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167 |
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entrypoints = ["importlib-metadata"]
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168 |
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fuse = ["fusepy"]
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169 |
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gcs = ["gcsfs"]
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170 |
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git = ["pygit2"]
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171 |
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github = ["requests"]
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172 |
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gs = ["gcsfs"]
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173 |
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gui = ["panel"]
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174 |
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hdfs = ["pyarrow (>=1)"]
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175 |
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http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "requests"]
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176 |
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libarchive = ["libarchive-c"]
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177 |
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oci = ["ocifs"]
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178 |
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s3 = ["s3fs"]
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179 |
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sftp = ["paramiko"]
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180 |
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181 |
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ssh = ["paramiko"]
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tqdm = ["tqdm"]
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183 |
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184 |
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185 |
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187 |
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188 |
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189 |
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190 |
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python-versions = ">=3.7.0"
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191 |
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192 |
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[package.dependencies]
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193 |
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filelock = "*"
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194 |
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packaging = ">=20.9"
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195 |
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pyyaml = ">=5.1"
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196 |
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requests = "*"
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197 |
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tqdm = "*"
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typing-extensions = ">=3.7.4.3"
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all = ["InquirerPy (==0.3.4)", "Jinja2", "black (==22.3)", "flake8 (>=3.8.3)", "flake8-bugbear", "isort (>=5.5.4)", "jedi", "mypy", "pytest", "pytest-cov", "soundfile"]
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204 |
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fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
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205 |
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quality = ["black (==22.3)", "flake8 (>=3.8.3)", "flake8-bugbear", "isort (>=5.5.4)", "mypy"]
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206 |
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tensorflow = ["graphviz", "pydot", "tensorflow"]
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207 |
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testing = ["InquirerPy (==0.3.4)", "Jinja2", "isort (>=5.5.4)", "jedi", "pytest", "pytest-cov", "soundfile"]
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208 |
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torch = ["torch"]
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209 |
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210 |
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[[package]]
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211 |
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name = "idna"
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212 |
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version = "3.4"
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213 |
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description = "Internationalized Domain Names in Applications (IDNA)"
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214 |
+
category = "main"
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215 |
+
optional = false
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216 |
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python-versions = ">=3.5"
|
217 |
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218 |
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[[package]]
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219 |
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name = "kaggle"
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220 |
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221 |
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description = "Kaggle API"
|
222 |
+
category = "main"
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223 |
+
optional = false
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224 |
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python-versions = "*"
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225 |
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226 |
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[package.dependencies]
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227 |
+
certifi = "*"
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228 |
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python-dateutil = "*"
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229 |
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python-slugify = "*"
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230 |
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requests = "*"
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231 |
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six = ">=1.10"
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232 |
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tqdm = "*"
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233 |
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urllib3 = "*"
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234 |
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235 |
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[[package]]
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236 |
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238 |
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description = "More routines for operating on iterables, beyond itertools"
|
239 |
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240 |
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241 |
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python-versions = ">=3.5"
|
242 |
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243 |
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[[package]]
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244 |
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245 |
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version = "6.0.2"
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246 |
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description = "multidict implementation"
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247 |
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category = "main"
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248 |
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optional = false
|
249 |
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python-versions = ">=3.7"
|
250 |
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251 |
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[[package]]
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253 |
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254 |
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description = "better multiprocessing and multithreading in python"
|
255 |
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256 |
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257 |
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python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
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259 |
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[package.dependencies]
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260 |
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dill = ">=0.3.5.1"
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261 |
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262 |
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[[package]]
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263 |
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name = "numpy"
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264 |
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version = "1.23.3"
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265 |
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description = "NumPy is the fundamental package for array computing with Python."
|
266 |
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category = "main"
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267 |
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optional = false
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268 |
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python-versions = ">=3.8"
|
269 |
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270 |
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[[package]]
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271 |
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272 |
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273 |
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description = "Core utilities for Python packages"
|
274 |
+
category = "main"
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275 |
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optional = false
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276 |
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python-versions = ">=3.6"
|
277 |
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278 |
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280 |
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[[package]]
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283 |
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284 |
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285 |
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286 |
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287 |
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python-versions = ">=3.8"
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288 |
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289 |
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numpy = [
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292 |
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295 |
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297 |
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299 |
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300 |
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[[package]]
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301 |
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302 |
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303 |
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description = "Python library for Apache Arrow"
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304 |
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305 |
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306 |
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python-versions = ">=3.7"
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307 |
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308 |
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[package.dependencies]
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309 |
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numpy = ">=1.16.6"
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310 |
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311 |
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[[package]]
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312 |
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313 |
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314 |
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315 |
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316 |
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317 |
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python-versions = ">=3.6.8"
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318 |
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321 |
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322 |
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[[package]]
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323 |
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name = "python-dateutil"
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324 |
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325 |
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description = "Extensions to the standard Python datetime module"
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326 |
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327 |
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328 |
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python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
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329 |
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330 |
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[package.dependencies]
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331 |
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six = ">=1.5"
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332 |
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333 |
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[[package]]
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334 |
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335 |
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336 |
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description = "A Python slugify application that also handles Unicode"
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337 |
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338 |
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339 |
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python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
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340 |
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346 |
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347 |
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[[package]]
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348 |
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349 |
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350 |
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351 |
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352 |
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353 |
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354 |
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355 |
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356 |
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357 |
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358 |
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description = "YAML parser and emitter for Python"
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359 |
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360 |
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361 |
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python-versions = ">=3.6"
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362 |
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363 |
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[[package]]
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364 |
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365 |
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366 |
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description = "Python HTTP for Humans."
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367 |
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368 |
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369 |
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370 |
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371 |
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[package.dependencies]
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[[package]]
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383 |
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384 |
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description = "A utility library for mocking out the `requests` Python library."
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385 |
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386 |
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387 |
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python-versions = ">=3.7"
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388 |
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389 |
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[package.dependencies]
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requests = ">=2.0,<3.0"
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395 |
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396 |
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[[package]]
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399 |
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description = "Python 2 and 3 compatibility utilities"
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400 |
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category = "main"
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401 |
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402 |
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[[package]]
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405 |
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407 |
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408 |
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409 |
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410 |
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411 |
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412 |
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416 |
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417 |
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418 |
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python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7"
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422 |
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423 |
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993 |
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994 |
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997 |
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]
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998 |
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yarl = [
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999 |
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{file = "yarl-1.8.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:abc06b97407868ef38f3d172762f4069323de52f2b70d133d096a48d72215d28"},
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1011 |
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1012 |
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{file = "yarl-1.8.1-cp310-cp310-win32.whl", hash = "sha256:ea30a42dc94d42f2ba4d0f7c0ffb4f4f9baa1b23045910c0c32df9c9902cb272"},
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1014 |
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{file = "yarl-1.8.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:0ab5a138211c1c366404d912824bdcf5545ccba5b3ff52c42c4af4cbdc2c5035"},
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1015 |
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{file = "yarl-1.8.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a0fb2cb4204ddb456a8e32381f9a90000429489a25f64e817e6ff94879d432fc"},
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{file = "yarl-1.8.1-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:85cba594433915d5c9a0d14b24cfba0339f57a2fff203a5d4fd070e593307d0b"},
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1017 |
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1018 |
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{file = "yarl-1.8.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d0f77539733e0ec2475ddcd4e26777d08996f8cd55d2aef82ec4d3896687abda"},
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1019 |
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{file = "yarl-1.8.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:29e256649f42771829974e742061c3501cc50cf16e63f91ed8d1bf98242e5507"},
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1020 |
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{file = "yarl-1.8.1-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:7fce6cbc6c170ede0221cc8c91b285f7f3c8b9fe28283b51885ff621bbe0f8ee"},
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1021 |
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1022 |
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{file = "yarl-1.8.1-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:12768232751689c1a89b0376a96a32bc7633c08da45ad985d0c49ede691f5c0d"},
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1023 |
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{file = "yarl-1.8.1-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:b19255dde4b4f4c32e012038f2c169bb72e7f081552bea4641cab4d88bc409dd"},
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1024 |
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{file = "yarl-1.8.1-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:6c8148e0b52bf9535c40c48faebb00cb294ee577ca069d21bd5c48d302a83780"},
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1025 |
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{file = "yarl-1.8.1-cp37-cp37m-win32.whl", hash = "sha256:de839c3a1826a909fdbfe05f6fe2167c4ab033f1133757b5936efe2f84904c07"},
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1026 |
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{file = "yarl-1.8.1-cp37-cp37m-win_amd64.whl", hash = "sha256:dd032e8422a52e5a4860e062eb84ac94ea08861d334a4bcaf142a63ce8ad4802"},
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1027 |
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{file = "yarl-1.8.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:19cd801d6f983918a3f3a39f3a45b553c015c5aac92ccd1fac619bd74beece4a"},
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1028 |
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{file = "yarl-1.8.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:6347f1a58e658b97b0a0d1ff7658a03cb79bdbda0331603bed24dd7054a6dea1"},
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1029 |
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{file = "yarl-1.8.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:7c0da7e44d0c9108d8b98469338705e07f4bb7dab96dbd8fa4e91b337db42548"},
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1030 |
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{file = "yarl-1.8.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5587bba41399854703212b87071c6d8638fa6e61656385875f8c6dff92b2e461"},
|
1031 |
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{file = "yarl-1.8.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:31a9a04ecccd6b03e2b0e12e82131f1488dea5555a13a4d32f064e22a6003cfe"},
|
1032 |
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{file = "yarl-1.8.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:205904cffd69ae972a1707a1bd3ea7cded594b1d773a0ce66714edf17833cdae"},
|
1033 |
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{file = "yarl-1.8.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ea513a25976d21733bff523e0ca836ef1679630ef4ad22d46987d04b372d57fc"},
|
1034 |
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{file = "yarl-1.8.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d0b51530877d3ad7a8d47b2fff0c8df3b8f3b8deddf057379ba50b13df2a5eae"},
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1035 |
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{file = "yarl-1.8.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:d2b8f245dad9e331540c350285910b20dd913dc86d4ee410c11d48523c4fd546"},
|
1036 |
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{file = "yarl-1.8.1-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:ab2a60d57ca88e1d4ca34a10e9fb4ab2ac5ad315543351de3a612bbb0560bead"},
|
1037 |
+
{file = "yarl-1.8.1-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:449c957ffc6bc2309e1fbe67ab7d2c1efca89d3f4912baeb8ead207bb3cc1cd4"},
|
1038 |
+
{file = "yarl-1.8.1-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:a165442348c211b5dea67c0206fc61366212d7082ba8118c8c5c1c853ea4d82e"},
|
1039 |
+
{file = "yarl-1.8.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:b3ded839a5c5608eec8b6f9ae9a62cb22cd037ea97c627f38ae0841a48f09eae"},
|
1040 |
+
{file = "yarl-1.8.1-cp38-cp38-win32.whl", hash = "sha256:c1445a0c562ed561d06d8cbc5c8916c6008a31c60bc3655cdd2de1d3bf5174a0"},
|
1041 |
+
{file = "yarl-1.8.1-cp38-cp38-win_amd64.whl", hash = "sha256:56c11efb0a89700987d05597b08a1efcd78d74c52febe530126785e1b1a285f4"},
|
1042 |
+
{file = "yarl-1.8.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:e80ed5a9939ceb6fda42811542f31c8602be336b1fb977bccb012e83da7e4936"},
|
1043 |
+
{file = "yarl-1.8.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:6afb336e23a793cd3b6476c30f030a0d4c7539cd81649683b5e0c1b0ab0bf350"},
|
1044 |
+
{file = "yarl-1.8.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:4c322cbaa4ed78a8aac89b2174a6df398faf50e5fc12c4c191c40c59d5e28357"},
|
1045 |
+
{file = "yarl-1.8.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fae37373155f5ef9b403ab48af5136ae9851151f7aacd9926251ab26b953118b"},
|
1046 |
+
{file = "yarl-1.8.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5395da939ffa959974577eff2cbfc24b004a2fb6c346918f39966a5786874e54"},
|
1047 |
+
{file = "yarl-1.8.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:076eede537ab978b605f41db79a56cad2e7efeea2aa6e0fa8f05a26c24a034fb"},
|
1048 |
+
{file = "yarl-1.8.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3d1a50e461615747dd93c099f297c1994d472b0f4d2db8a64e55b1edf704ec1c"},
|
1049 |
+
{file = "yarl-1.8.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7de89c8456525650ffa2bb56a3eee6af891e98f498babd43ae307bd42dca98f6"},
|
1050 |
+
{file = "yarl-1.8.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:4a88510731cd8d4befaba5fbd734a7dd914de5ab8132a5b3dde0bbd6c9476c64"},
|
1051 |
+
{file = "yarl-1.8.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:2d93a049d29df172f48bcb09acf9226318e712ce67374f893b460b42cc1380ae"},
|
1052 |
+
{file = "yarl-1.8.1-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:21ac44b763e0eec15746a3d440f5e09ad2ecc8b5f6dcd3ea8cb4773d6d4703e3"},
|
1053 |
+
{file = "yarl-1.8.1-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:d0272228fabe78ce00a3365ffffd6f643f57a91043e119c289aaba202f4095b0"},
|
1054 |
+
{file = "yarl-1.8.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:99449cd5366fe4608e7226c6cae80873296dfa0cde45d9b498fefa1de315a09e"},
|
1055 |
+
{file = "yarl-1.8.1-cp39-cp39-win32.whl", hash = "sha256:8b0af1cf36b93cee99a31a545fe91d08223e64390c5ecc5e94c39511832a4bb6"},
|
1056 |
+
{file = "yarl-1.8.1-cp39-cp39-win_amd64.whl", hash = "sha256:de49d77e968de6626ba7ef4472323f9d2e5a56c1d85b7c0e2a190b2173d3b9be"},
|
1057 |
+
{file = "yarl-1.8.1.tar.gz", hash = "sha256:af887845b8c2e060eb5605ff72b6f2dd2aab7a761379373fd89d314f4752abbf"},
|
1058 |
+
]
|
pyproject.toml
ADDED
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
[tool.poetry]
|
2 |
+
name = "cross_domain_reviews"
|
3 |
+
version = "0.1.0"
|
4 |
+
description = "Hugging face dataset combining a bunch of review datasets from different domains"
|
5 |
+
authors = ["Frankie Robertson <[email protected]>"]
|
6 |
+
license = "Apache-v2"
|
7 |
+
readme = "README.md"
|
8 |
+
|
9 |
+
[tool.poetry.dependencies]
|
10 |
+
python = "^3.8"
|
11 |
+
datasets = "^2.5.2"
|
12 |
+
more-itertools = "^8.14.0"
|
13 |
+
kaggle = "^1.5.12"
|
14 |
+
|
15 |
+
[build-system]
|
16 |
+
requires = ["poetry-core"]
|
17 |
+
build-backend = "poetry.core.masonry.api"
|