Update files from the datasets library (from 1.5.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.5.0

.gitattributes

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README.md

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+---
+annotations_creators: []
+language_creators:
+- crowdsourced
+languages:
+- ro
+licenses:
+- cc-by-4-0
+multilinguality:
+- monolingual
+size_categories:
+- 1K<n<10K
+source_datasets:
+- extended|other-sts-b
+task_categories:
+- text-scoring
+task_ids:
+- semantic-similarity-scoring
+---
+
+# Dataset Card for RO-STS
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-instances)
+  - [Data Splits](#data-instances)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [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
+
+- **Homepage:** [GitHub](https://github.com/dumitrescustefan/RO-STS)
+- **Repository:** [GitHub](https://github.com/dumitrescustefan/RO-STS)
+- **Paper:** [Needs More Information]
+- **Leaderboard:** [Needs More Information]
+- **Point of Contact:** dumitrescu.stefan@gmail.com
+
+### Dataset Summary
+
+We present RO-STS - the Semantic Textual Similarity dataset for the Romanian language. It is a high-quality translation of the [STS English dataset](https://ixa2.si.ehu.eus/stswiki/index.php/STSbenchmark). RO-STS contains 8,628 sentence pairs with their similarity scores. The original English sentences were collected from news headlines, captions of images and user forums, and are categorized accordingly. The Romanian release follows this categorization and provides the same train/validation/test split with 5,749/1,500/1,379 sentence pairs in each subset.
+
+### Supported Tasks and Leaderboards
+
+[Needs More Information]
+
+### Languages
+
+The text dataset is in Romanian (`ro`)
+
+## Dataset Structure
+
+### Data Instances
+
+An example looks like this:
+
+```
+{'score': 1.5,
+ 'sentence1': 'Un bărbat cântă la harpă.',
+ 'sentence2': 'Un bărbat cântă la claviatură.',
+}
+```
+
+### Data Fields
+
+- `score`: a float representing the semantic similarity score where 0.0 is the lowest score and 5.0 is the highest
+- `sentence1`: a string representing a text
+- `sentence2`: another string to compare the previous text with
+
+### Data Splits
+
+The train/validation/test split contain 5,749/1,500/1,379 sentence pairs.
+
+## Dataset Creation
+
+### Curation Rationale
+
+[Needs More Information]
+
+### Source Data
+
+[Needs More Information]
+
+#### Initial Data Collection and Normalization
+
+*To construct the dataset, we first obtained automatic translations using Google's translation engine. These were then manually checked, corrected, and cross-validated by human volunteers. *
+
+#### Who are the source language producers?
+
+[Needs More Information]
+
+### Annotations
+
+#### Annotation process
+
+#### Who are the annotators?
+
+### Personal and Sensitive Information
+
+[Needs More Information]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[Needs More Information]
+
+### Discussion of Biases
+
+[Needs More Information]
+
+### Other Known Limitations
+
+[Needs More Information]
+
+## Additional Information
+
+### Dataset Curators
+
+[Needs More Information]
+
+### Licensing Information
+
+CC BY-SA 4.0 License
+
+### Citation Information
+
+[Needs More Information]
+
+### Contributions
+
+Thanks to [@lorinczb](https://github.com/lorinczb) for adding this dataset.

dataset_infos.json

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+{"ro_sts": {"description": "The RO-STS (Romanian Semantic Textual Similarity) dataset contains 8628 pairs of sentences with their similarity score. It is a high-quality translation of the STS benchmark dataset.\n", "citation": "Article under review\n", "homepage": "https://github.com/dumitrescustefan/RO-STS/", "license": "CC BY-SA 4.0 License", "features": {"score": {"dtype": "float32", "id": null, "_type": "Value"}, "sentence1": {"dtype": "string", "id": null, "_type": "Value"}, "sentence2": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "ro_sts", "config_name": "ro_sts", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 878354, "num_examples": 5749, "dataset_name": "ro_sts"}, "test": {"name": "test", "num_bytes": 194157, "num_examples": 1379, "dataset_name": "ro_sts"}, "validation": {"name": "validation", "num_bytes": 245738, "num_examples": 1500, "dataset_name": "ro_sts"}}, "download_checksums": {"https://raw.githubusercontent.com/dumitrescustefan/RO-STS/master/dataset/text-similarity/RO-STS.train.tsv": {"num_bytes": 844672, "checksum": "5e2f24ad5443ed1199a0079dd0b5de9f1fec8a2bb3b0a70f6e3616c32d6d282f"}, "https://raw.githubusercontent.com/dumitrescustefan/RO-STS/master/dataset/text-similarity/RO-STS.dev.tsv": {"num_bytes": 236912, "checksum": "914f0ca935c71b317179bab9e052867aeaad84cc143b011d5919a00d444553ef"}, "https://raw.githubusercontent.com/dumitrescustefan/RO-STS/master/dataset/text-similarity/RO-STS.test.tsv": {"num_bytes": 186023, "checksum": "fd84bc1f9581e6352f0c797cb46fdf08a39f7b908a6ff1cfe21deb62f8c78e0c"}}, "download_size": 1267607, "post_processing_size": null, "dataset_size": 1318249, "size_in_bytes": 2585856}}

dummy/ro_sts/1.0.0/dummy_data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:598ad7f5333340c1756a0791a15ba63498a0da197a6be25885768c16c0074de3
+size 1274

ro_sts.py

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+# coding=utf-8
+# Copyright 2021 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.
+"""RO-STS: The Romanian Semantic Textual Similarity Dataset"""
+
+from __future__ import absolute_import, division, print_function
+
+import datasets
+
+
+# Find for instance the citation on arxiv or on the dataset repo/website
+_CITATION = """\
+Article under review
+"""
+
+# You can copy an official description
+_DESCRIPTION = """\
+The RO-STS (Romanian Semantic Textual Similarity) dataset contains 8628 pairs of sentences with their similarity score. It is a high-quality translation of the STS benchmark dataset.
+"""
+
+_HOMEPAGE = "https://github.com/dumitrescustefan/RO-STS/"
+
+_LICENSE = "CC BY-SA 4.0 License"
+
+# The HuggingFace dataset library don't host the datasets but only point to the original files
+# This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
+_URL = "https://raw.githubusercontent.com/dumitrescustefan/RO-STS/master/dataset/text-similarity/"
+_TRAINING_FILE = "RO-STS.train.tsv"
+_TEST_FILE = "RO-STS.test.tsv"
+_DEV_FILE = "RO-STS.dev.tsv"
+
+
+class ROSTSConfig(datasets.BuilderConfig):
+    """BuilderConfig for RO-STS dataset"""
+
+    def __init__(self, **kwargs):
+        super(ROSTSConfig, self).__init__(**kwargs)
+
+
+class RoSts(datasets.GeneratorBasedBuilder):
+    """RO-STS dataset"""
+
+    VERSION = datasets.Version("1.0.0")
+    BUILDER_CONFIGS = [
+        ROSTSConfig(name="ro_sts", version=VERSION, description="RO-STS dataset"),
+    ]
+
+    def _info(self):
+
+        features = datasets.Features(
+            {
+                "score": datasets.Value("float"),
+                "sentence1": datasets.Value("string"),
+                "sentence2": datasets.Value("string"),
+            }
+        )
+
+        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": _URL + _TRAINING_FILE, "dev": _URL + _DEV_FILE, "test": _URL + _TEST_FILE}
+
+        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.Split.VALIDATION,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={"filepath": downloaded_files["dev"]},
+            ),
+        ]
+
+    def _generate_examples(self, filepath):
+        """This function returns the examples in the raw (text) form."""
+        with open(filepath, encoding="utf-8") as f:
+
+            reader = f.readlines()
+            for idx, row in enumerate(reader):
+                splits = row.strip().split("\t")
+                yield idx, {
+                    "score": splits[0],  # row["score"],
+                    "sentence1": splits[1],  # row["sentence1"],
+                    "sentence2": splits[2],  # row["sentence2"],
+                }