Update files from the datasets library (from 1.2.0)

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

.gitattributes

@@ -0,0 +1,27 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bin.* filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zstandard filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,146 @@
+---
+annotations_creators:
+- crowdsourced
+language_creators:
+- crowdsourced
+languages:
+- ar
+licenses:
+- unknown
+multilinguality:
+- monolingual
+size_categories:
+- 10K<n<100K
+source_datasets:
+- original
+task_categories:
+- question-answering
+task_ids:
+- open-domain-qa
+---
+
+# Dataset Card for WikiQAar
+
+## 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)
+  - [Discussion of Social Impact and Biases](#discussion-of-social-impact-and-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:** [WikiQaAr](https://github.com/qcri/WikiQAar)
+- **Repository:** [WikiQaAr](https://github.com/qcri/WikiQAar)
+- **Paper:** 
+- **Point of Contact:** [Ines Abbes
+](abbes.ines@yahoo.com)
+
+### Dataset Summary
+
+Arabic Version of WikiQA by automatic automatic machine translators 
+and crowdsourced the selection of the best one to be incorporated into the corpus
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed]
+
+### Languages
+
+The dataset is based on Arabic.
+
+## Dataset Structure
+
+### Data Instances
+
+Each data point contains the question and whether the answer is a valid or not.  
+
+### Data Fields
+
+- `question_id`: the question id.
+- `question`: the question text.
+- `document_id`: the wikipedia document id.
+- `answer_id` : the answer id.
+- `answer` : a candidate answer to the question. 
+- `label` : 1 if the `answer` is correct or 0 otherwise. 
+
+### Data Splits
+
+The dataset is not split. 
+
+|           | Tain   | Dev   | Test  |
+|---------- | ------ | ------| ------|
+|Data split | 70,264 | 20,632| 10,387|
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed]
+
+### Source Data
+
+[More Information Needed]
+
+#### Initial Data Collection and Normalization
+
+Translation of WikiQA. 
+
+#### Who are the source language producers?
+
+Translation of WikiQA.   
+
+### Annotations
+
+The dataset does not contain any additional 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
+
+### Discussion of Social Impact and 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

@@ -0,0 +1 @@
+{"plain_text": {"description": "Arabic Version of WikiQA by automatic automatic machine translators and crowdsourced the selection of the best one to be incorporated into the corpus\n", "citation": "@InProceedings{YangYihMeek:EMNLP2015:WikiQA,\n       author = {{Yi}, Yang and {Wen-tau},  Yih and {Christopher} Meek},\n        title = \"{WikiQA: A Challenge Dataset for Open-Domain Question Answering}\",\n      journal = {Association for Computational Linguistics},\n         year = 2015,\n          doi = {10.18653/v1/D15-1237},\n        pages = {2013\u20132018},\n}\n", "homepage": "https://github.com/qcri/WikiQAar", "license": "", "features": {"question_id": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "document_id": {"dtype": "string", "id": null, "_type": "Value"}, "answer_id": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 2, "names": ["0", "1"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": "wiki_qa_ar", "config_name": "plain_text", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 7563127, "num_examples": 20632, "dataset_name": "wiki_qa_ar"}, "validation": {"name": "validation", "num_bytes": 3740721, "num_examples": 10387, "dataset_name": "wiki_qa_ar"}, "train": {"name": "train", "num_bytes": 26009979, "num_examples": 70264, "dataset_name": "wiki_qa_ar"}}, "download_checksums": {"https://raw.githubusercontent.com/qcri/WikiQAar/master/WikiQAar-train.tsv": {"num_bytes": 24563518, "checksum": "4e7ab63b071859ecbd314d34076e9f3968bc09a9673950f8f24be6490d3fba27"}, "https://raw.githubusercontent.com/qcri/WikiQAar/master/WikiQAar-dev.tsv": {"num_bytes": 3531039, "checksum": "3cc65e6e4544190e8e81fab79ba7f30042b59c97b3002f3724de4791c2f7ceee"}, "https://raw.githubusercontent.com/qcri/WikiQAar/master/WikiQAar-test.tsv": {"num_bytes": 7131879, "checksum": "2d8ce9995ba1821eda3ba3734b04e57c19b6ca014ec1f57b36ce86ae9f8de3e3"}}, "download_size": 35226436, "post_processing_size": null, "dataset_size": 37313827, "size_in_bytes": 72540263}}

dummy/plain_text/1.0.0/dummy_data.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7aef8e70fe4170ec099417bcec3bdad859a0f20ebf5c04c9e770a3f8c48951fd
+size 3985

wiki_qa_ar.py

@@ -0,0 +1,119 @@
+# 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
+"""Arabic Wiki Question Answering corpus."""
+
+from __future__ import absolute_import, division, print_function
+
+import csv
+
+import datasets
+
+
+_CITATION = """\
+@InProceedings{YangYihMeek:EMNLP2015:WikiQA,
+       author = {{Yi}, Yang and {Wen-tau},  Yih and {Christopher} Meek},
+        title = "{WikiQA: A Challenge Dataset for Open-Domain Question Answering}",
+      journal = {Association for Computational Linguistics},
+         year = 2015,
+          doi = {10.18653/v1/D15-1237},
+        pages = {2013–2018},
+}
+"""
+
+_DESCRIPTION = """\
+Arabic Version of WikiQA by automatic automatic machine translators \
+and crowdsourced the selection of the best one to be incorporated into the corpus
+"""
+
+_URL = "https://raw.githubusercontent.com/qcri/WikiQAar/master/"
+_URL_FILES = {
+    "train": _URL + "WikiQAar-train.tsv",
+    "dev": _URL + "WikiQAar-dev.tsv",
+    "test": _URL + "WikiQAar-test.tsv",
+}
+
+
+class WikiQaArConfig(datasets.BuilderConfig):
+    """BuilderConfig for WikiQaAr."""
+
+    def __init__(self, **kwargs):
+        """BuilderConfig for WikiQaAr.
+
+        Args:
+          **kwargs: keyword arguments forwarded to super.
+        """
+        super(WikiQaArConfig, self).__init__(version=datasets.Version("1.0.0", ""), **kwargs)
+
+
+class WikiQaAr(datasets.GeneratorBasedBuilder):
+    """WikiQaAr dataset."""
+
+    BUILDER_CONFIGS = [
+        WikiQaArConfig(
+            name="plain_text",
+            description="Plain text",
+        )
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "question_id": datasets.Value("string"),
+                    "question": datasets.Value("string"),
+                    "document_id": datasets.Value("string"),
+                    "answer_id": datasets.Value("string"),
+                    "answer": datasets.Value("string"),
+                    "label": datasets.features.ClassLabel(num_classes=2),
+                }
+            ),
+            supervised_keys=None,
+            homepage="https://github.com/qcri/WikiQAar",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+
+        dl_dir = dl_manager.download_and_extract(_URL_FILES)
+
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": dl_dir["test"]}),
+            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": dl_dir["dev"]}),
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": dl_dir["train"]}),
+        ]
+
+    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 _id, row in enumerate(reader):
+
+                # ignore some entries with errors
+                if len(row) > 6 or len(row["Label"]) == 0:
+                    continue
+
+                yield str(_id), {
+                    "question_id": row["QuestionID"],
+                    "question": row["Question"],
+                    "document_id": row["DocumentID"],
+                    "answer_id": row["SentenceID"],
+                    "answer": row["Sentence"],
+                    "label": row["Label"],
+                }