Refactor twostep data loading

codequeries.py

@@ -119,7 +119,7 @@ class Codequeries(datasets.GeneratorBasedBuilder):
                       "subtokenized_input_sequence", "label_sequence"],
             citation=_CODEQUERIES_CITATION,
             data_url={
-                "test": "twostep_relevance"
+                "test": "twostep_relevance/twostep_relevance_test_"
             },
             url="",
         ),
@@ -209,20 +209,41 @@ class Codequeries(datasets.GeneratorBasedBuilder):
             assert split == datasets.Split.TEST
         logger.info("generating examples from = %s", filepath)
 
-        with open(filepath, encoding="utf-8") as f:
+        if self.config.name == "twostep":
             key = 0
-            for line in f:
-                row = json.loads(line)
-
-                instance_key = str(key) + "_" + row["query_name"] + "_" + row["code_file_path"]
-                yield instance_key, {
-                    "query_name": row["query_name"],
-                    "context_blocks": row["context_blocks"],
-                    "answer_spans": row["answer_spans"],
-                    "supporting_fact_spans": row["supporting_fact_spans"],
-                    "code_file_path": row["code_file_path"],
-                    "example_type": row["example_type"],
-                    "subtokenized_input_sequence": row["subtokenized_input_sequence"],
-                    "label_sequence": row["label_sequence"],
-                }
-                key += 1
+            for i in range(10):
+                with open(filepath + str(i) + '.json', encoding="utf-8") as f:
+                    for line in f:
+                        row = json.loads(line)
+
+                        instance_key = str(key) + "_" + row["query_name"] + "_" + row["code_file_path"]
+                        yield instance_key, {
+                            "query_name": row["query_name"],
+                            "context_blocks": row["context_blocks"],
+                            "answer_spans": row["answer_spans"],
+                            "supporting_fact_spans": row["supporting_fact_spans"],
+                            "code_file_path": row["code_file_path"],
+                            "example_type": row["example_type"],
+                            "subtokenized_input_sequence": row["subtokenized_input_sequence"],
+                            "label_sequence": row["label_sequence"],
+                        }
+                        key += 1
+        else:
+            with open(filepath, encoding="utf-8") as f:
+                key = 0
+                for line in f:
+                    row = json.loads(line)
+
+                    instance_key = str(key) + "_" + row["query_name"] + "_" + row["code_file_path"]
+                    yield instance_key, {
+                        "query_name": row["query_name"],
+                        "context_blocks": row["context_blocks"],
+                        "answer_spans": row["answer_spans"],
+                        "supporting_fact_spans": row["supporting_fact_spans"],
+                        "code_file_path": row["code_file_path"],
+                        "example_type": row["example_type"],
+                        "subtokenized_input_sequence": row["subtokenized_input_sequence"],
+                        "label_sequence": row["label_sequence"],
+                    }
+                    key += 1
+