Update files from the datasets library (from 1.0.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.0.0

.gitattributes

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+*.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

dataset_infos.json

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+{"default": {"description": "Wiki Question Answering corpus from Microsoft\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://www.microsoft.com/en-us/download/details.aspx?id=52419", "license": "", "features": {"question_id": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "document_title": {"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"}}, "supervised_keys": null, "builder_name": "wiki_qa", "config_name": "default", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1337903, "num_examples": 6165, "dataset_name": "wiki_qa"}, "train": {"name": "train", "num_bytes": 4469148, "num_examples": 20360, "dataset_name": "wiki_qa"}, "validation": {"name": "validation", "num_bytes": 591833, "num_examples": 2733, "dataset_name": "wiki_qa"}}, "download_checksums": {"https://download.microsoft.com/download/E/5/f/E5FCFCEE-7005-4814-853D-DAA7C66507E0/WikiQACorpus.zip": {"num_bytes": 7094233, "checksum": "467c13f9e104552c0a9c16f41836ca8d89f9c0cc4b6e4355e104d5c3109ffa45"}}, "download_size": 7094233, "dataset_size": 6398884, "size_in_bytes": 13493117}}

dummy/0.1.0/dummy_data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:8d7238a3a8d7e6f18ef01eacdb01fdcd3ba855fbf9c95b9e30040c488301a741
+size 1766

wiki_qa.py

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+"""TODO(wiki_qa): Add a description here."""
+
+from __future__ import absolute_import, division, print_function
+
+import csv
+import os
+
+import datasets
+
+
+# TODO(wiki_qa): BibTeX citation
+_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},
+}
+"""
+
+# TODO(wiki_qa):
+_DESCRIPTION = """\
+Wiki Question Answering corpus from Microsoft
+"""
+
+_DATA_URL = "https://download.microsoft.com/download/E/5/f/E5FCFCEE-7005-4814-853D-DAA7C66507E0/WikiQACorpus.zip"  # 'https://www.microsoft.com/en-us/download/confirmation.aspx?id=52419'
+
+
+class WikiQa(datasets.GeneratorBasedBuilder):
+    """TODO(wiki_qa): Short description of my dataset."""
+
+    # TODO(wiki_qa): Set up version.
+    VERSION = datasets.Version("0.1.0")
+
+    def _info(self):
+        # TODO(wiki_qa): Specifies the datasets.DatasetInfo object
+        return datasets.DatasetInfo(
+            # This is the description that will appear on the datasets page.
+            description=_DESCRIPTION,
+            # datasets.features.FeatureConnectors
+            features=datasets.Features(
+                {
+                    "question_id": datasets.Value("string"),
+                    "question": datasets.Value("string"),
+                    "document_title": datasets.Value("string"),
+                    "answer": datasets.Value("string"),
+                    "label": datasets.features.ClassLabel(num_classes=2),
+                    # These are the features of your dataset like images, labels ...
+                }
+            ),
+            # If there's a common (input, target) tuple from the features,
+            # specify them here. They'll be used if as_supervised=True in
+            # builder.as_dataset.
+            supervised_keys=None,
+            # Homepage of the dataset for documentation
+            homepage="https://www.microsoft.com/en-us/download/details.aspx?id=52419",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        # TODO(wiki_qa): Downloads the data and defines the splits
+        # dl_manager is a datasets.download.DownloadManager that can be used to
+        # download and extract URLs
+        dl_dir = dl_manager.download_and_extract(_DATA_URL)
+        dl_dir = os.path.join(dl_dir, "WikiQACorpus")
+        # dl_dir = os.path.join(dl_dir, '')
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST, gen_kwargs={"filepath": os.path.join(dl_dir, "WikiQA-test.tsv")}
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION, gen_kwargs={"filepath": os.path.join(dl_dir, "WikiQA-dev.tsv")}
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={"filepath": os.path.join(dl_dir, "WikiQA-train.tsv")},
+            ),
+        ]
+
+    def _generate_examples(self, filepath):
+        """Yields examples."""
+        # TODO(wiki_qa): Yields (key, example) tuples from the dataset
+
+        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, {
+                    "question_id": row["QuestionID"],
+                    "question": row["Question"],
+                    "document_title": row["DocumentTitle"],
+                    "answer": row["Sentence"],
+                    "label": row["Label"],
+                }