Update files from the datasets library (from 1.8.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.8.0

dataset_infos.json

@@ -1 +1 @@
-{"default": {"description": "A collection of news article headlines in Hausa from VOA Hausa. \nEach headline is labeled with one of the following classes: Nigeria, \nAfrica, World, Health or Politics.\n\nThe dataset was presented in the paper: \nHedderich, Adelani, Zhu, Alabi, Markus, Klakow: Transfer Learning and \nDistant Supervision for Multilingual Transformer Models: A Study on \nAfrican Languages (EMNLP 2020).\n", "citation": "@inproceedings{hedderich-etal-2020-transfer,\n    title = \"Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African Languages\",\n    author = \"Hedderich, Michael A.  and\n      Adelani, David  and\n      Zhu, Dawei  and\n      Alabi, Jesujoba  and\n      Markus, Udia  and\n      Klakow, Dietrich\",\n    booktitle = \"Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)\",\n    year = \"2020\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://www.aclweb.org/anthology/2020.emnlp-main.204\",\n    doi = \"10.18653/v1/2020.emnlp-main.204\",\n}\n", "homepage": "https://github.com/uds-lsv/transfer-distant-transformer-african", "license": "", "features": {"news_title": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 5, "names": ["Africa", "Health", "Nigeria", "Politics", "World"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": "hausa_voa_topics", "config_name": "default", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 144932, "num_examples": 2045, "dataset_name": "hausa_voa_topics"}, "validation": {"name": "validation", "num_bytes": 20565, "num_examples": 290, "dataset_name": "hausa_voa_topics"}, "test": {"name": "test", "num_bytes": 41195, "num_examples": 582, "dataset_name": "hausa_voa_topics"}}, "download_checksums": {"https://raw.githubusercontent.com/uds-lsv/transfer-distant-transformer-african/master/data/hausa_newsclass/train_clean.tsv": {"num_bytes": 137306, "checksum": "662bf8849d34f4163032afede21c2f2d103a956a6d6d6925b7a8b2577f8e5c62"}, "https://raw.githubusercontent.com/uds-lsv/transfer-distant-transformer-african/master/data/hausa_newsclass/dev.tsv": {"num_bytes": 19501, "checksum": "ca5629d297dec8c6f7878180ba2aa0a5852bafb57acc6b3ea4dc43cf600446e7"}, "https://raw.githubusercontent.com/uds-lsv/transfer-distant-transformer-african/master/data/hausa_newsclass/test.tsv": {"num_bytes": 39017, "checksum": "a174e3071e4d1e4713fb73aa93de583909d3bf5231abd0d09ab6ae4087a8f79b"}}, "download_size": 195824, "post_processing_size": null, "dataset_size": 206692, "size_in_bytes": 402516}}
+{"default": {"description": "A collection of news article headlines in Hausa from VOA Hausa.\nEach headline is labeled with one of the following classes: Nigeria,\nAfrica, World, Health or Politics.\n\nThe dataset was presented in the paper:\nHedderich, Adelani, Zhu, Alabi, Markus, Klakow: Transfer Learning and\nDistant Supervision for Multilingual Transformer Models: A Study on\nAfrican Languages (EMNLP 2020).\n", "citation": "@inproceedings{hedderich-etal-2020-transfer,\n    title = \"Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African Languages\",\n    author = \"Hedderich, Michael A.  and\n      Adelani, David  and\n      Zhu, Dawei  and\n      Alabi, Jesujoba  and\n      Markus, Udia  and\n      Klakow, Dietrich\",\n    booktitle = \"Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)\",\n    year = \"2020\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://www.aclweb.org/anthology/2020.emnlp-main.204\",\n    doi = \"10.18653/v1/2020.emnlp-main.204\",\n}\n", "homepage": "https://github.com/uds-lsv/transfer-distant-transformer-african", "license": "", "features": {"news_title": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 5, "names": ["Africa", "Health", "Nigeria", "Politics", "World"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "task_templates": [{"task": "text-classification", "text_column": "news_title", "label_column": "label", "labels": ["Africa", "Health", "Nigeria", "Politics", "World"]}], "builder_name": "hausa_voa_topics", "config_name": "default", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 144932, "num_examples": 2045, "dataset_name": "hausa_voa_topics"}, "validation": {"name": "validation", "num_bytes": 20565, "num_examples": 290, "dataset_name": "hausa_voa_topics"}, "test": {"name": "test", "num_bytes": 41195, "num_examples": 582, "dataset_name": "hausa_voa_topics"}}, "download_checksums": {"https://raw.githubusercontent.com/uds-lsv/transfer-distant-transformer-african/master/data/hausa_newsclass/train_clean.tsv": {"num_bytes": 137306, "checksum": "662bf8849d34f4163032afede21c2f2d103a956a6d6d6925b7a8b2577f8e5c62"}, "https://raw.githubusercontent.com/uds-lsv/transfer-distant-transformer-african/master/data/hausa_newsclass/dev.tsv": {"num_bytes": 19501, "checksum": "ca5629d297dec8c6f7878180ba2aa0a5852bafb57acc6b3ea4dc43cf600446e7"}, "https://raw.githubusercontent.com/uds-lsv/transfer-distant-transformer-african/master/data/hausa_newsclass/test.tsv": {"num_bytes": 39017, "checksum": "a174e3071e4d1e4713fb73aa93de583909d3bf5231abd0d09ab6ae4087a8f79b"}}, "download_size": 195824, "post_processing_size": null, "dataset_size": 206692, "size_in_bytes": 402516}}

hausa_voa_topics.py

@@ -20,6 +20,7 @@
 import csv
 
 import datasets
+from datasets.tasks import TextClassification
 
 
 _DESCRIPTION = """\
@@ -69,6 +70,7 @@ class HausaVOATopics(datasets.GeneratorBasedBuilder):
             ),
             homepage="https://github.com/uds-lsv/transfer-distant-transformer-african",
             citation=_CITATION,
+            task_templates=[TextClassification(text_column="news_title", label_column="label")],
         )
 
     def _split_generators(self, dl_manager):