Update files from the datasets library (from 1.8.0)

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

README.md

@@ -118,9 +118,9 @@ annotated afterwards.
 
 #### Annotation process
 
-While annotators were volunteers, they were required to have at least a Master’s degree in biomedical sciences. 
-The annotation team was led by a medical doctor (G.A.R.) who vetted the volunteer’s credentials and 
-manually verified each question/answer pair produced. We used an existing, web-based annotation tool that had been 
+While annotators were volunteers, they were required to have at least a Master’s degree in biomedical sciences.
+The annotation team was led by a medical doctor (G.A.R.) who vetted the volunteer’s credentials and
+manually verified each question/answer pair produced. We used an existing, web-based annotation tool that had been
 created by deepset and is available at their Neural Search framework [haystack](https://github.com/deepset-ai/haystack).
 
 #### Who are the annotators?
@@ -146,16 +146,15 @@ These QA systems can help them find answers and patterns in research papers by l
 
 ## Additional Information
 
-The listed authors in the homepage are maintaining/supporting the dataset. 
+The listed authors in the homepage are maintaining/supporting the dataset.
 
 ### Dataset Curators
 
 [More Information Needed]
 
-The Proto_qa dataset is licensed under 
-the [Apache License 2.0](https://github.com/deepset-ai/COVID-QA/blob/master/LICENSE)
+### Licensing Information
 
-[More Information Needed]
+The Proto_qa dataset is licensed under the [Apache License 2.0](https://github.com/deepset-ai/COVID-QA/blob/master/LICENSE)
 
 ### Citation Information
 

covid_qa_deepset.py

@@ -18,6 +18,7 @@
 import json
 
 import datasets
+from datasets.tasks import QuestionAnsweringExtractive
 
 
 logger = datasets.logging.get_logger(__name__)
@@ -76,6 +77,11 @@ class CovidQADeepset(datasets.GeneratorBasedBuilder):
             homepage=_HOMEPAGE,
             license=_LICENSE,
             citation=_CITATION,
+            task_templates=[
+                QuestionAnsweringExtractive(
+                    question_column="question", context_column="context", answers_column="answers"
+                )
+            ],
         )
 
     def _split_generators(self, dl_manager):

dataset_infos.json

@@ -1 +1 @@
-{"covid_qa_deepset": {"description": "COVID-QA is a Question Answering dataset consisting of 2,019 question/answer pairs annotated by volunteer biomedical experts on scientific articles related to COVID-19.\n", "citation": "@inproceedings{moller2020covid,\n  title={COVID-QA: A Question Answering Dataset for COVID-19},\n  author={M{\"o}ller, Timo and Reina, Anthony and Jayakumar, Raghavan and Pietsch, Malte},\n  booktitle={Proceedings of the 1st Workshop on NLP for COVID-19 at ACL 2020},\n  year={2020}\n}\n", "homepage": "https://github.com/deepset-ai/COVID-QA", "license": "Apache License 2.0", "features": {"document_id": {"dtype": "int32", "id": null, "_type": "Value"}, "context": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "is_impossible": {"dtype": "bool", "id": null, "_type": "Value"}, "id": {"dtype": "int32", "id": null, "_type": "Value"}, "answers": {"feature": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "answer_start": {"dtype": "int32", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "covid_qa_deepset", "config_name": "covid_qa_deepset", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 65151262, "num_examples": 2019, "dataset_name": "covid_qa_deepset"}}, "download_checksums": {"https://raw.githubusercontent.com/deepset-ai/COVID-QA/master/data/question-answering/COVID-QA.json": {"num_bytes": 4418117, "checksum": "291abf17f4bc2bd343838fd8ef5debb6278bbbb61b262db1f1bd58048fff76b9"}}, "download_size": 4418117, "post_processing_size": null, "dataset_size": 65151262, "size_in_bytes": 69569379}}
+{"covid_qa_deepset": {"description": "COVID-QA is a Question Answering dataset consisting of 2,019 question/answer pairs annotated by volunteer biomedical experts on scientific articles related to COVID-19.\n", "citation": "@inproceedings{moller2020covid,\n  title={COVID-QA: A Question Answering Dataset for COVID-19},\n  author={M{\"o}ller, Timo and Reina, Anthony and Jayakumar, Raghavan and Pietsch, Malte},\n  booktitle={Proceedings of the 1st Workshop on NLP for COVID-19 at ACL 2020},\n  year={2020}\n}\n", "homepage": "https://github.com/deepset-ai/COVID-QA", "license": "Apache License 2.0", "features": {"document_id": {"dtype": "int32", "id": null, "_type": "Value"}, "context": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "is_impossible": {"dtype": "bool", "id": null, "_type": "Value"}, "id": {"dtype": "int32", "id": null, "_type": "Value"}, "answers": {"feature": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "answer_start": {"dtype": "int32", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": [{"task": "question-answering-extractive", "question_column": "question", "context_column": "context", "answers_column": "answers"}], "builder_name": "covid_qa_deepset", "config_name": "covid_qa_deepset", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 65151262, "num_examples": 2019, "dataset_name": "covid_qa_deepset"}}, "download_checksums": {"https://raw.githubusercontent.com/deepset-ai/COVID-QA/master/data/question-answering/COVID-QA.json": {"num_bytes": 4418117, "checksum": "291abf17f4bc2bd343838fd8ef5debb6278bbbb61b262db1f1bd58048fff76b9"}}, "download_size": 4418117, "post_processing_size": null, "dataset_size": 65151262, "size_in_bytes": 69569379}}