Update loading script with download maanger

codequeries.py

@@ -41,9 +41,6 @@ CodeQueries Ideal setup.
 _PREFIX_DESCRIPTION = """\
 CodeQueries Prefix setup."""
 
-_SLIDING_WINDOW_DESCRIPTION = """\
-CodeQueries Sliding window setup."""
-
 _FILE_IDEAL_DESCRIPTION = """\
 CodeQueries File level Ideal setup."""
 
@@ -82,28 +79,25 @@ class Codequeries(datasets.GeneratorBasedBuilder):
                       "supporting_fact_spans", "code_file_path", "example_type",
                       "subtokenized_input_sequence", "label_sequence"],
             citation=_CODEQUERIES_CITATION,
-            # homepage="",
-            # data_url="",
+            data_url={
+                "train": "ideal_train.json",
+                "dev": "ideal_val.json",
+                "test": "ideal_test.json"
+            },
+            url="",
+        ),
+        CodequeriesConfig(
+            name="prefix",
+            description=_PREFIX_DESCRIPTION,
+            features=["query_name", "answer_spans",
+                      "supporting_fact_spans", "code_file_path", "example_type",
+                      "subtokenized_input_sequence", "label_sequence"],
+            citation=_CODEQUERIES_CITATION,
+            data_url={
+                "test": "prefix_test.json"
+            },
             url="",
         ),
-        # CodequeriesConfig(
-        #     name="prefix",
-        #     description=_PREFIX_DESCRIPTION,
-        #     features=["query_name", "context_blocks", "answer_spans",
-        #               "supporting_fact_spans", "code_file_path", "example_type",
-        #               "subtokenized_input_sequence", "label_sequence"],
-        #     citation=_CODEQUERIES_CITATION,
-        #     url="",
-        # ),
-        # CodequeriesConfig(
-        #     name="sliding_window",
-        #     description=_SLIDING_WINDOW_DESCRIPTION,
-        #     features=["query_name", "context_blocks", "answer_spans",
-        #               "supporting_fact_spans", "code_file_path", "example_type",
-        #               "subtokenized_input_sequence", "label_sequence"],
-        #     citation=_CODEQUERIES_CITATION,
-        #     url="",
-        # ),
         CodequeriesConfig(
             name="file_ideal",
             description=_FILE_IDEAL_DESCRIPTION,
@@ -111,23 +105,28 @@ class Codequeries(datasets.GeneratorBasedBuilder):
                       "supporting_fact_spans", "code_file_path", "example_type",
                       "subtokenized_input_sequence", "label_sequence"],
             citation=_CODEQUERIES_CITATION,
+            data_url={
+                "test": "file_ideal_test.json"
+            },
+            url="",
+        ),
+        CodequeriesConfig(
+            name="twostep",
+            description=_TWOSTEP_DESCRIPTION,
+            features=["query_name", "context_blocks", "answer_spans",
+                      "supporting_fact_spans", "code_file_path", "example_type",
+                      "subtokenized_input_sequence", "label_sequence"],
+            citation=_CODEQUERIES_CITATION,
+            data_url={
+                "test": "twostep_relevance"
+            },
             url="",
         ),
-        # CodequeriesConfig(
-        #     name="twostep",
-        #     description=_TWOSTEP_DESCRIPTION,
-        #     features=["query_name", "context_blocks", "answer_spans",
-        #               "supporting_fact_spans", "code_file_path", "example_type",
-        #               "subtokenized_input_sequence", "label_sequence"],
-        #     citation=_CODEQUERIES_CITATION,
-        #     url="",
-        # ),
     ]
 
-    # DEFAULT_CONFIG_NAME = "ideal"
+    DEFAULT_CONFIG_NAME = "ideal"
 
     def _info(self):
-        # features = {feature: datasets.Value("string") for feature in self.config.features}
         features = {}
         features["query_name"] = datasets.Value("string")
         features["context_blocks"] = [
@@ -168,13 +167,13 @@ class Codequeries(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        dl_dir = ""
-        if self.config.name in ["prefix", "sliding_window", "file_ideal", "twostep"]:
+        dl_dir = dl_manager.download_and_extract(self.config.data_url)
+        if self.config.name in ["prefix", "file_ideal", "twostep"]:
             return [
                 datasets.SplitGenerator(
                     name=datasets.Split.TEST,
                     gen_kwargs={
-                        "filepath": os.path.join(dl_dir, self.config.name + "_test.json"),
+                        "filepath": os.path.join(dl_dir["test"]),
                         "split": datasets.Split.TEST,
                     },
                 ),
@@ -184,28 +183,28 @@ class Codequeries(datasets.GeneratorBasedBuilder):
                 datasets.SplitGenerator(
                     name=datasets.Split.TRAIN,
                     gen_kwargs={
-                        "filepath": os.path.join(dl_dir, self.config.name + "_train.json"),
+                        "filepath": os.path.join(dl_dir["train"]),
                         "split": datasets.Split.TRAIN,
                     },
                 ),
                 datasets.SplitGenerator(
                     name=datasets.Split.VALIDATION,
                     gen_kwargs={
-                        "filepath": os.path.join(dl_dir, self.config.name + "_val.json"),
+                        "filepath": os.path.join(dl_dir["dev"]),
                         "split": datasets.Split.VALIDATION,
                     },
                 ),
                 datasets.SplitGenerator(
                     name=datasets.Split.TEST,
                     gen_kwargs={
-                        "filepath": os.path.join(dl_dir, self.config.name + "_test.json"),
+                        "filepath": os.path.join(dl_dir["test"]),
                         "split": datasets.Split.TEST,
                     },
                 ),
             ]
 
     def _generate_examples(self, filepath, split):
-        if self.config.name in ["prefix", "sliding_window", "file_ideal", "twostep"]:
+        if self.config.name in ["prefix", "file_ideal", "twostep"]:
             assert split == datasets.Split.TEST
         logger.info("generating examples from = %s", filepath)