Update files from the datasets library (from 1.2.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.2.0

.gitattributes

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README.md

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+---
+annotations_creators:
+- crowdsourced
+- machine-generated
+language_creators:
+- crowdsourced
+- machine-generated
+languages:
+- en
+- fr
+licenses:
+- mit
+multilinguality:
+- translation
+size_categories:
+- 1K<n<10K
+source_datasets: []
+task_categories:
+- text-classification
+- text-scoring
+task_ids:
+- semantic-similarity-classification
+- semantic-similarity-scoring
+---
+
+# Dataset Card for [Dataset Name]
+
+## 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)
+
+## Dataset Description
+
+- **Homepage:** [Github](https://github.com/Elbria/xling-SemDiv/tree/master/REFreSD)
+- **Repository:** [Github](https://github.com/Elbria/xling-SemDiv/)
+- **Paper:** [Aclweb](https://www.aclweb.org/anthology/2020.emnlp-main.121)
+- **Leaderboard:**
+- **Point of Contact:**
+
+### Dataset Summary
+
+The Rationalized English-French Semantic Divergences (REFreSD) dataset consists of 1,039
+ English-French sentence-pairs annotated with sentence-level divergence judgments and token-level
+ rationales. For any questions, write to ebriakou@cs.umd.edu.
+
+### Supported Tasks and Leaderboards
+
+Similarity classification and scoring (3 classes).
+
+### Languages
+
+English and French
+
+## Dataset Structure
+### Data Instances
+Each data point looks like this:
+
+```python
+{
+  'sentence_pair': {'en': 'The invention of farming some 10,000 years ago led to the development of agrarian societies , whether nomadic or peasant , the latter in particular almost always dominated by a strong sense of traditionalism .', 
+                    'fr': "En quelques décennies , l' activité économique de la vallée est passée d' une mono-activité agricole essentiellement vivrière , à une quasi mono-activité touristique , si l' on excepte un artisanat du bâtiment traditionnel important , en partie saisonnier ."}
+  'label': 0, 
+  'all_labels': 0, 
+  'rationale_en': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], 
+  'rationale_fr': [2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3], 
+}
+```
+
+### Data Fields
+
+- `sentence_pair`: Dictionary of sentences containing the following field.
+  - `en`: The English sentence.
+  - `fr`: The corresponding (or not) French sentence.
+  
+- `label`: Binary. Whether both sentences correspond. `{0:divergent, 1:equivalent}`
+- `all_labels`: 3-class label `{0: "unrelated", 1: "some_meaning_difference", 2:"no_meaning_difference"}`. The first two are sub-classes of the `divergent` label. 
+- `rationale_en`: Word-aligned rationale for the classification, from English. 
+- `rationale_fr`: Word-aligned rationale for the classification, from French.
+
+### Data Splits
+1039 sentence pairs in a single `"train"` split.
+
+## Dataset Creation
+
+### Curation Rationale
+
+See [paper](https://arxiv.org/abs/2010.03662v1).
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed]
+
+#### Who are the source language producers?
+
+[More Information Needed]
+
+### Annotations
+
+#### Annotation process
+
+See [paper](https://arxiv.org/abs/2010.03662v1).
+
+#### Who are the annotators?
+
+See [paper](https://arxiv.org/abs/2010.03662v1).
+
+### 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
+
+Eleftheria Briakou and Marine Carpuat
+
+### Licensing Information
+
+[MIT License](https://github.com/Elbria/xling-SemDiv/blob/master/LICENSE)
+
+### Citation Information
+
+```BibTeX
+@inproceedings{briakou-carpuat-2020-detecting,
+    title = "Detecting Fine-Grained Cross-Lingual Semantic Divergences without Supervision by Learning to Rank",
+    author = "Briakou, Eleftheria and Carpuat, Marine",
+    booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)",
+    month = nov,
+    year = "2020",
+    address = "Online",
+    publisher = "Association for Computational Linguistics",
+    url = "https://www.aclweb.org/anthology/2020.emnlp-main.121",
+    pages = "1563--1580",
+}
+```

dataset_infos.json

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+{"default": {"description": "The Rationalized English-French Semantic Divergences (REFreSD) dataset consists of 1,039 \nEnglish-French sentence-pairs annotated with sentence-level divergence judgments and token-level \nrationales. For any questions, write to ebriakou@cs.umd.edu.\n", "citation": "@inproceedings{briakou-carpuat-2020-detecting,\n    title = \"Detecting Fine-Grained Cross-Lingual Semantic Divergences without Supervision by Learning to Rank\",\n    author = \"Briakou, Eleftheria and Carpuat, Marine\",\n    booktitle = \"Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)\",\n    month = nov,\n    year = \"2020\",\n    address = \"Online\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://www.aclweb.org/anthology/2020.emnlp-main.121\",\n    pages = \"1563--1580\",\n}\n", "homepage": "https://github.com/Elbria/xling-SemDiv/tree/master/REFreSD", "license": "", "features": {"sentence_en": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_fr": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 2, "names": ["divergent", "equivalent"], "names_file": null, "id": null, "_type": "ClassLabel"}, "all_labels": {"num_classes": 3, "names": ["unrelated", "some_meaning_difference", "no_meaning_difference"], "names_file": null, "id": null, "_type": "ClassLabel"}, "rationale_en": {"dtype": "string", "id": null, "_type": "Value"}, "rationale_fr": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "refresd", "config_name": "default", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 501562, "num_examples": 1039, "dataset_name": "refresd"}}, "download_checksums": {"https://raw.githubusercontent.com/Elbria/xling-SemDiv/master/REFreSD/REFreSD_rationale": {"num_bytes": 503977, "checksum": "d0ee606a8e73f0a6c22b9ec4d7e02a827e48d8b8d65ea2585b6cd9e11fe6b1f0"}}, "download_size": 503977, "post_processing_size": null, "dataset_size": 501562, "size_in_bytes": 1005539}}

dummy/1.1.0/dummy_data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:1b063e3ee71702cb6d81ea4107b48ab10194fd60a9b138fd4a4998eaeaaa3dd2
+size 1155

refresd.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.
+"""The Rationalized English-French Semantic Divergences (REFreSD) dataset."""
+
+from __future__ import absolute_import, division, print_function
+
+import csv
+
+import datasets
+
+
+_CITATION = """\
+@inproceedings{briakou-carpuat-2020-detecting,
+    title = "Detecting Fine-Grained Cross-Lingual Semantic Divergences without Supervision by Learning to Rank",
+    author = "Briakou, Eleftheria and Carpuat, Marine",
+    booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)",
+    month = nov,
+    year = "2020",
+    address = "Online",
+    publisher = "Association for Computational Linguistics",
+    url = "https://www.aclweb.org/anthology/2020.emnlp-main.121",
+    pages = "1563--1580",
+}
+"""
+
+_DESCRIPTION = """\
+The Rationalized English-French Semantic Divergences (REFreSD) dataset consists of 1,039
+ English-French sentence-pairs annotated with sentence-level divergence judgments and token-level
+ rationales. For any questions, write to ebriakou@cs.umd.edu.
+"""
+
+_HOMEPAGE = "https://github.com/Elbria/xling-SemDiv/tree/master/REFreSD"
+
+_LICENSE = "MIT"
+
+_URL = "https://raw.githubusercontent.com/Elbria/xling-SemDiv/master/REFreSD/REFreSD_rationale"
+
+
+class Refresd(datasets.GeneratorBasedBuilder):
+    """The Rationalized English-French Semantic Divergences (REFreSD) dataset."""
+
+    VERSION = datasets.Version("1.1.0")
+
+    def _info(self):
+        features = datasets.Features(
+            {
+                "sentence_pair": datasets.Translation(languages=["en", "fr"]),
+                "label": datasets.features.ClassLabel(names=["divergent", "equivalent"]),
+                "all_labels": datasets.features.ClassLabel(
+                    names=["unrelated", "some_meaning_difference", "no_meaning_difference"]
+                ),
+                "rationale_en": datasets.features.Sequence(datasets.Value("int32")),
+                "rationale_fr": datasets.features.Sequence(datasets.Value("int32")),
+            }
+        )
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        my_urls = _URL
+        data_file_path = dl_manager.download_and_extract(my_urls)
+        return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": data_file_path})]
+
+    def _generate_examples(self, filepath):
+        """ Yields examples. """
+        with open(filepath, encoding="utf-8") as f:
+            reader = csv.DictReader(f, delimiter="\t", quoting=csv.QUOTE_NONE)
+            for idx, row in enumerate(reader):
+                yield idx, {
+                    "sentence_pair": {"fr": row["#french_sentence"], "en": row["#english_sentence"]},
+                    "label": row["#binary_label"],
+                    "all_labels": row["#3_labels"],
+                    "rationale_en": [int(v) for v in row["#english_rational"].split(" ")],
+                    "rationale_fr": [int(v) for v in row["#french_rationale"].split(" ")],
+                }