Update files from the datasets library (from 1.6.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.6.0

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README.md

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+---
+annotations_creators:
+- crowdsourced
+language_creators:
+- crowdsourced
+- found
+- machine-generated
+languages:
+- en
+- de
+- es
+- fr
+- it
+- nl
+- pl
+- pt
+- ru
+- zh
+licenses:
+- custom
+multilinguality:
+- multilingual
+size_categories:
+- 10K<n<100K
+source_datasets:
+- extended|other-sts-b
+task_categories:
+- text-scoring
+task_ids:
+- semantic-similarity-scoring
+---
+
+# Dataset Card for STSb Multi MT
+
+## Table of Contents
+- [Dataset Card for [Dataset Name]](#dataset-card-for-dataset-name)
+  - [Table of Contents](#table-of-contents)
+  - [Dataset Description](#dataset-description)
+    - [Dataset Summary](#dataset-summary)
+    - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+    - [Languages](#languages)
+  - [Dataset Structure](#dataset-structure)
+    - [Data Instances](#data-instances)
+    - [Data Fields](#data-fields)
+    - [Data Splits](#data-splits)
+  - [Dataset Creation](#dataset-creation)
+    - [Curation Rationale](#curation-rationale)
+    - [Source Data](#source-data)
+      - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
+      - [Who are the source language producers?](#who-are-the-source-language-producers)
+    - [Annotations](#annotations)
+      - [Annotation process](#annotation-process)
+      - [Who are the annotators?](#who-are-the-annotators)
+    - [Personal and Sensitive Information](#personal-and-sensitive-information)
+  - [Considerations for Using the Data](#considerations-for-using-the-data)
+    - [Social Impact of Dataset](#social-impact-of-dataset)
+    - [Discussion of Biases](#discussion-of-biases)
+    - [Other Known Limitations](#other-known-limitations)
+  - [Additional Information](#additional-information)
+    - [Dataset Curators](#dataset-curators)
+    - [Licensing Information](#licensing-information)
+    - [Citation Information](#citation-information)
+    - [Contributions](#contributions)
+
+## Dataset Description
+
+- **Repository**: https://github.com/PhilipMay/stsb-multi-mt
+- **Homepage (original dataset):** https://ixa2.si.ehu.es/stswiki/index.php/STSbenchmark
+- **Paper about original dataset:** https://arxiv.org/abs/1708.00055
+- **Leaderboard:** https://ixa2.si.ehu.eus/stswiki/index.php/STSbenchmark#Results
+- **Point of Contact:** [Open an issue on GitHub](https://github.com/PhilipMay/stsb-multi-mt/issues/new)
+
+### Dataset Summary
+
+> STS Benchmark comprises a selection of the English datasets used in the STS tasks organized
+> in the context of SemEval between 2012 and 2017. The selection of datasets include text from
+> image captions, news headlines and user forums. ([source](https://ixa2.si.ehu.es/stswiki/index.php/STSbenchmark))
+
+These are different multilingual translations and the English original of the [STSbenchmark dataset](https://ixa2.si.ehu.es/stswiki/index.php/STSbenchmark). Translation has been done with [deepl.com](https://www.deepl.com/). It can be used to train [sentence embeddings](https://github.com/UKPLab/sentence-transformers) like [T-Systems-onsite/cross-en-de-roberta-sentence-transformer](https://huggingface.co/T-Systems-onsite/cross-en-de-roberta-sentence-transformer).
+
+
+**Examples of Use**
+
+Load German dev Dataset:
+```python
+from datasets import load_dataset
+dataset = load_dataset("stsb_multi_mt", name="de", split="dev")
+```
+
+Load English train Dataset:
+```python
+from datasets import load_dataset
+dataset = load_dataset("stsb_multi_mt", name="en", split="train")
+```
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed]
+
+### Languages
+
+Available languages are: de, en, es, fr, it, nl, pl, pt, ru, zh
+
+## Dataset Structure
+
+### Data Instances
+
+This dataset provides pairs of sentences and a score of their similarity.
+
+score | 2 example sentences | explanation
+------|---------|------------
+5 | *The bird is bathing in the sink.<br/>Birdie is washing itself in the water basin.* | The two sentences are completely equivalent, as they mean the same thing.
+4 | *Two boys on a couch are playing video games.<br/>Two boys are playing a video game.* | The two sentences are mostly equivalent, but some unimportant details differ.
+3 | *John said he is considered a witness but not a suspect.<br/>“He is not a suspect anymore.” John said.* | The two sentences are roughly equivalent, but some important information differs/missing.
+2 | *They flew out of the nest in groups.<br/>They flew into the nest together.* | The two sentences are not equivalent, but share some details.
+1 | *The woman is playing the violin.<br/>The young lady enjoys listening to the guitar.* | The two sentences are not equivalent, but are on the same topic.
+0 | *The black dog is running through the snow.<br/>A race car driver is driving his car through the mud.* | The two sentences are completely dissimilar.
+
+An example:
+```
+{
+    "sentence1": "A man is playing a large flute.",
+    "sentence2": "A man is playing a flute.",
+    "similarity_score": 3.8
+}
+```
+
+### Data Fields
+
+- `sentence1`: The 1st sentence as a `str`.
+- `sentence2`: The 2nd sentence as a `str`.
+- `similarity_score`: The similarity score as a `float` which is `<= 5.0` and `>= 0.0`.
+
+### Data Splits
+
+- train with 5749 samples
+- dev with 1500 samples
+- test with 1379 sampples
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed]
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed]
+
+#### Who are the source language producers?
+
+[More Information Needed]
+
+### Annotations
+
+#### Annotation process
+
+[More Information Needed]
+
+#### Who are the annotators?
+
+[More Information Needed]
+
+### Personal and Sensitive Information
+
+[More Information Needed]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed]
+
+### Discussion of Biases
+
+[More Information Needed]
+
+### Other Known Limitations
+
+[More Information Needed]
+
+## Additional Information
+
+### Dataset Curators
+
+[More Information Needed]
+
+### Licensing Information
+
+See [LICENSE](https://github.com/PhilipMay/stsb-multi-mt/blob/main/LICENSE) and [download at original dataset](https://ixa2.si.ehu.eus/stswiki/index.php/STSbenchmark).
+
+### Citation Information
+
+```
+@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}
+}
+```
+
+### Contributions
+
+Thanks to [@PhilipMay](https://github.com/PhilipMay) for adding this dataset.

dataset_infos.json

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stsb_multi_mt.py

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+# 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": "{}/stsb-{}-train.csv".format(_BASE_URL, self.config.name),
+            "dev": "{}/stsb-{}-dev.csv".format(_BASE_URL, self.config.name),
+            "test": "{}/stsb-{}-test.csv".format(_BASE_URL, self.config.name),
+        }
+        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