Create new file

test_pq.py

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+import datasets
+
+
+_CITATION = """\
+"""
+
+_DESCRIPTION = """\
+This is a test dataset.
+"""
+
+_URLS = {
+    "train": "https://huggingface.co/datasets/changxin/test_pq/main/another_text.txt",  # absolute
+    "dev": "some_text.txt",                                                                 # relative
+}
+
+
+class Test(datasets.GeneratorBasedBuilder):
+    """SQUAD: The Stanford Question Answering Dataset. Version 1.1."""
+
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "text": datasets.Value("string"),
+                }
+            ),
+            supervised_keys=None,
+            homepage="https://huggingface.co/datasets/changxin/test_pq",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        downloaded_files = dl_manager.download_and_extract(_URLS)
+
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
+            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"]}),
+        ]
+
+    def _generate_examples(self, filepath):
+        """This function returns the examples in the raw (text) form."""
+        for _id, line in enumerate(open(filepath, encoding="utf-8")):
+            yield _id, {"text": line.rstrip()}