Create data.py

data.py

@@ -0,0 +1,52 @@
+import datasets
+import tasksource
+
+
+def parse(query: str):
+    """
+    Parses a query of the form 'key1=value1,key2=value2,...' into a dictionary.
+    """
+    result = {}
+    for kv in query.split(","):
+        parts = kv.split("=")
+        if parts[1].isdigit():
+            result[parts[0]] = int(parts[1])
+        elif parts[1].replace(".", "", 1).isdigit():
+            result[parts[0]] = float(parts[1])
+
+        result[parts[0]] = parts[1]
+
+    return result
+
+
+class Dataset(datasets.GeneratorBasedBuilder):
+
+    builder_configs = {}
+
+    @property
+    def generators(self):
+        register_all_artifacts()
+        if not hasattr(self, "_generators") or self._generators is None:
+            recipe = fetch(self.config.name)
+            if recipe is None:
+                args = parse(self.config.name)
+                if "type" not in args:
+                    args["type"] = "common_recipe"
+                recipe = Artifact.from_dict(args)
+            self._generators = recipe()
+        return self._generators
+
+    def _info(self):
+        return datasets.DatasetInfo()
+
+    def _split_generators(self, _):
+        return ["train","validation","test"]
+
+    def _generate_examples(self, split_name):
+        generator = self.generators[split_name]
+        for i, row in enumerate(generator):
+            yield i, row
+
+    def _download_and_prepare(self, dl_manager, verification_mode, **prepare_splits_kwargs):
+        result = super()._download_and_prepare(dl_manager, "no_checks", **prepare_splits_kwargs)
+        return result