Update files from the datasets library (from 1.2.0)

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

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README.md

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+---
+annotations_creators:
+- crowdsourced
+language_creators:
+- expert-generated
+languages:
+- en
+- yo
+licenses:
+- unknown
+multilinguality:
+- multilingual
+size_categories:
+- n<1K
+source_datasets:
+- original
+task_categories:
+- text-scoring
+task_ids:
+- semantic-similarity-scoring
+---
+
+# Dataset Card for wordsim-353 in Yorùbá (yoruba_wordsim353)
+
+## 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:** -
+- **Repository:** https://github.com/ajesujoba/YorubaTwi-Embedding
+- **Paper:** https://www.aclweb.org/anthology/2020.lrec-1.335/
+- **Leaderboard:** -
+- **Point of Contact:** Jesujoba Alabi ( jesujobaoluwadara.alabi (at) dfki.de ) and David Adelani ( didelani (at) lsv.uni-saarland.de )
+
+### Dataset Summary
+
+A translation of the word pair similarity dataset wordsim-353 to Yorùbá.
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed]
+
+### Languages
+
+Yorùbá (ISO 639-1: yo)
+
+## Dataset Structure
+
+### Data Instances
+
+An instance consists of a pair of words as well as their similarity. The dataset contains both the original English words (from wordsim-353) as well as their translation to Yorùbá.
+
+### Data Fields
+
+- `english1`: the first word of the pair; the original English word
+- `english2`: the second word of the pair; the original English word
+- `yoruba1`: the first word of the pair; translation to Yorùbá
+- `yoruba2`: the second word of the pair; translation to Yorùbá
+- `similarity`: similarity rating according to the English dataset
+
+### Data Splits
+
+[More Information Needed]
+
+## 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
+
+[More Information Needed]
+
+### Citation Information
+
+[More Information Needed]

dataset_infos.json

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+{"default": {"description": "A translation of the word pair similarity dataset wordsim-353 to Yor\u00f9b\u00e1.\n\nThe dataset was presented in the paper\nAlabi et al.: Massive vs. Curated Embeddings for Low-Resourced\nLanguages: the Case of Yor\u00f9b\u00e1 and Twi (LREC 2020).\n", "citation": "@inproceedings{alabi-etal-2020-massive,\n    title = \"Massive vs. Curated Embeddings for Low-Resourced Languages: the Case of {Y}or{\\`u}b{\\'a} and {T}wi\",\n    author = \"Alabi, Jesujoba  and\n      Amponsah-Kaakyire, Kwabena  and\n      Adelani, David  and\n      Espa{\\~n}a-Bonet, Cristina\",\n    booktitle = \"Proceedings of the 12th Language Resources and Evaluation Conference\",\n    month = may,\n    year = \"2020\",\n    address = \"Marseille, France\",\n    publisher = \"European Language Resources Association\",\n    url = \"https://www.aclweb.org/anthology/2020.lrec-1.335\",\n    pages = \"2754--2762\",\n    language = \"English\",\n    ISBN = \"979-10-95546-34-4\",\n}\n", "homepage": "https://github.com/ajesujoba/YorubaTwi-Embedding", "license": "", "features": {"english1": {"dtype": "string", "id": null, "_type": "Value"}, "english2": {"dtype": "string", "id": null, "_type": "Value"}, "yoruba1": {"dtype": "string", "id": null, "_type": "Value"}, "yoruba2": {"dtype": "string", "id": null, "_type": "Value"}, "similarity": {"dtype": "float32", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "yoruba_wordsim353", "config_name": "default", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 19299, "num_examples": 353, "dataset_name": "yoruba_wordsim353"}}, "download_checksums": {"https://raw.githubusercontent.com/ajesujoba/YorubaTwi-Embedding/master/Yoruba/wordSim353_yo.csv": {"num_bytes": 17039, "checksum": "e0b14d7c8cfa8b08808862f008124bd0314a33e401951007faf3563ed8ff13f5"}}, "download_size": 17039, "post_processing_size": null, "dataset_size": 19299, "size_in_bytes": 36338}}

dummy/0.0.0/dummy_data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7a0a19435b7495abb0bf7b2e7f46dccf2139ad0331b1238443e5c21c69691f47
+size 418

yoruba_wordsim353.py

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+# coding=utf-8
+# Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
+#
+# 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.
+
+# Lint as: python3
+"""WordSim-353 for Yoruba"""
+
+from __future__ import absolute_import, division, print_function
+
+import csv
+
+import datasets
+
+
+_DESCRIPTION = """\
+A translation of the word pair similarity dataset wordsim-353 to Yorùbá.
+
+The dataset was presented in the paper
+Alabi et al.: Massive vs. Curated Embeddings for Low-Resourced
+Languages: the Case of Yorùbá and Twi (LREC 2020).
+"""
+
+_CITATION = """\
+@inproceedings{alabi-etal-2020-massive,
+    title = "Massive vs. Curated Embeddings for Low-Resourced Languages: the Case of {Y}or{\\`u}b{\\'a} and {T}wi",
+    author = "Alabi, Jesujoba  and
+      Amponsah-Kaakyire, Kwabena  and
+      Adelani, David  and
+      Espa{\\~n}a-Bonet, Cristina",
+    booktitle = "Proceedings of the 12th Language Resources and Evaluation Conference",
+    month = may,
+    year = "2020",
+    address = "Marseille, France",
+    publisher = "European Language Resources Association",
+    url = "https://www.aclweb.org/anthology/2020.lrec-1.335",
+    pages = "2754--2762",
+    language = "English",
+    ISBN = "979-10-95546-34-4",
+}
+"""
+
+_DOWNLOAD_URL = "https://raw.githubusercontent.com/ajesujoba/YorubaTwi-Embedding/master/Yoruba/wordSim353_yo.csv"
+
+
+class YorubaWordsim353(datasets.GeneratorBasedBuilder):
+    """WordSim-353 for Yoruba."""
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "english1": datasets.Value("string"),
+                    "english2": datasets.Value("string"),
+                    "yoruba1": datasets.Value("string"),
+                    "yoruba2": datasets.Value("string"),
+                    "similarity": datasets.Value("float32"),
+                }
+            ),
+            homepage="https://github.com/ajesujoba/YorubaTwi-Embedding",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        test_path = dl_manager.download_and_extract(_DOWNLOAD_URL)
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": test_path}),
+        ]
+
+    def _generate_examples(self, filepath):
+        """Generate WordSim-353 for Yoruba examples."""
+        with open(filepath, encoding="utf-8") as csv_file:
+            csv_reader = csv.DictReader(csv_file, delimiter=",")
+            for id_, row in enumerate(csv_reader):
+                yield id_, {
+                    "english1": row["English1"],
+                    "english2": row["English2"],
+                    "yoruba1": row["Yoruba1"],
+                    "yoruba2": row["Yoruba2"],
+                    "similarity": row["EngSim"],
+                }