Delete loading script

wiki_qa.py

@@ -1,96 +0,0 @@
-"""TODO(wiki_qa): Add a description here."""
-
-
-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"],
-                }