Delete loading script

stsb_multi_mt.py

@@ -1,196 +0,0 @@
-# coding=utf-8
-# 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.
-"""These are different multilingual translations and the English original of the STSbenchmark dataset."""
-
-
-import csv
-
-import datasets
-
-
-_CITATION = """\
-@InProceedings{huggingface:dataset:stsb_multi_mt,
-title = {Machine translated multilingual STS benchmark dataset.},
-author={Philip May},
-year={2021},
-url={https://github.com/PhilipMay/stsb-multi-mt}
-}
-"""
-
-_DESCRIPTION = """\
-These are different multilingual translations and the English original of the STSbenchmark dataset. \
-Translation has been done with deepl.com.
-"""
-
-_HOMEPAGE = "https://github.com/PhilipMay/stsb-multi-mt"
-
-_LICENSE = "custom license - see project page"
-
-_BASE_URL = "https://raw.githubusercontent.com/PhilipMay/stsb-multi-mt/main/data"
-
-
-class StsbMultiMt(datasets.GeneratorBasedBuilder):
-    """These are different multilingual translations and the English original of the STSbenchmark dataset.
-
-    Translation has been done with deepl.com.
-    """
-
-    VERSION = datasets.Version("1.0.0")
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(
-            name="en",
-            version=VERSION,
-            description="This is the original English STS benchmark data set.",
-        ),
-        datasets.BuilderConfig(
-            name="de",
-            version=VERSION,
-            description="This is the German STS benchmark data set.",
-        ),
-        datasets.BuilderConfig(
-            name="es",
-            version=VERSION,
-            description="This is the Spanish STS benchmark data set.",
-        ),
-        datasets.BuilderConfig(
-            name="fr",
-            version=VERSION,
-            description="This is the French STS benchmark data set.",
-        ),
-        datasets.BuilderConfig(
-            name="it",
-            version=VERSION,
-            description="This is the Italian STS benchmark data set.",
-        ),
-        # here seems to be an issue - see https://github.com/PhilipMay/stsb-multi-mt/issues/1
-        # datasets.BuilderConfig(name="ja", version=VERSION, description="This is the Japanese STS benchmark data set."),
-        datasets.BuilderConfig(
-            name="nl",
-            version=VERSION,
-            description="This is the Dutch STS benchmark data set.",
-        ),
-        datasets.BuilderConfig(
-            name="pl",
-            version=VERSION,
-            description="This is the Polish STS benchmark data set.",
-        ),
-        datasets.BuilderConfig(
-            name="pt",
-            version=VERSION,
-            description="This is the Portuguese STS benchmark data set.",
-        ),
-        datasets.BuilderConfig(
-            name="ru",
-            version=VERSION,
-            description="This is the Russian STS benchmark data set.",
-        ),
-        datasets.BuilderConfig(
-            name="zh",
-            version=VERSION,
-            description="This is the Chinese (simplified) STS benchmark data set.",
-        ),
-    ]
-
-    def _info(self):
-        features = datasets.Features(
-            {
-                "sentence1": datasets.Value("string"),
-                "sentence2": datasets.Value("string"),
-                "similarity_score": datasets.Value("float"),
-            }
-        )
-        return datasets.DatasetInfo(
-            # This is the description that will appear on the datasets page.
-            description=_DESCRIPTION,
-            # This defines the different columns of the dataset and their types
-            features=features,  # Here we define them above because they are different between the two configurations
-            # If there's a common (input, target) tuple from the features,
-            # specify them here. They'll be used if as_supervised=True in
-            # builder.as_dataset.
-            supervised_keys=None,
-            # Homepage of the dataset for documentation
-            homepage=_HOMEPAGE,
-            # License for the dataset if available
-            license=_LICENSE,
-            # Citation for the dataset
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        urls_to_download = {
-            "train": f"{_BASE_URL}/stsb-{self.config.name}-train.csv",
-            "dev": f"{_BASE_URL}/stsb-{self.config.name}-dev.csv",
-            "test": f"{_BASE_URL}/stsb-{self.config.name}-test.csv",
-        }
-        downloaded_files = dl_manager.download(urls_to_download)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "filepath": downloaded_files["train"],
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "filepath": downloaded_files["test"],
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.NamedSplit("dev"),
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "filepath": downloaded_files["dev"],
-                },
-            ),
-        ]
-
-    def _generate_examples(
-        self,
-        filepath,  # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
-    ):
-        """Yields examples as (key, example) tuples."""
-        # This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
-        # The `key` is here for legacy reason (tfds) and is not important in itself.
-        with open(filepath, newline="", encoding="utf-8") as csvfile:
-            csv_dict_reader = csv.DictReader(
-                csvfile,
-                fieldnames=["sentence1", "sentence2", "similarity_score"],
-                dialect="excel",
-            )
-            for id_, row in enumerate(csv_dict_reader):
-                # do asserts
-                assert "sentence1" in row
-                assert isinstance(row["sentence1"], str)
-                assert len(row["sentence1"].strip()) > 0
-                assert "sentence2" in row
-                assert isinstance(row["sentence2"], str)
-                assert len(row["sentence2"].strip()) > 0
-                assert "similarity_score" in row
-                assert isinstance(row["similarity_score"], str)
-                assert len(row["similarity_score"].strip()) > 0
-
-                # convert similarity_score from str to float
-                row["similarity_score"] = float(row["similarity_score"])
-
-                # do more asserts
-                assert row["similarity_score"] >= 0.0
-                assert row["similarity_score"] <= 5.0
-
-                yield id_, row