Create test.py

test.py

@@ -0,0 +1,54 @@
+import json
+from typing import List
+import datasets
+
+
+logger = datasets.logging.get_logger(__name__)
+
+
+class Test(datasets.GeneratorBasedBuilder):
+
+    _HOMEPAGE = "https://huggingface.co/datasets/nateraw/test/"
+    _URL = "https://huggingface.co/datasets/nateraw/test/blob/main/"
+    _URLS = {
+        "train": _URL + "train.json",
+        "dev": _URL + "dev.json",
+    }
+    _DESCRIPTION = "A test!"
+    _CITATION = None
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=self._DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "id": datasets.Value("string"),
+                    "text": datasets.Value("string"),
+                }
+            ),
+            supervised_keys=None,
+            homepage=self._HOMEPAGE,
+            citation=self._CITATION,
+        )
+
+    def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
+        urls_to_download = self._URLS
+        downloaded_files = dl_manager.download_and_extract(urls_to_download)
+
+        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."""
+        logger.info("generating examples from = %s", filepath)
+        with open(filepath) as f:
+            content = json.load(f)
+            for example in content['data']:
+                example_id = example.get('id', "").strip()
+                text = example.get('text', "").strip()
+                yield example_id, {
+                    "id": example_id,
+                    "text": text
+                }