change back

repobench-r.py

@@ -57,12 +57,18 @@ _LICENSE = "Apache License 2.0"
 # }
 
 _URLs = {
-    "java-cff": "https://huggingface.co/datasets/tianyang/repobench-r/resolve/main/retrieval/java_cff.gz",
-    "java-cfr": "https://huggingface.co/datasets/tianyang/repobench-r/resolve/main/retrieval/java_cfr.gz",
-    "python-cff": "https://huggingface.co/datasets/tianyang/repobench-r/resolve/main/retrieval/python_cff.gz",
-    "python-cfr": "https://huggingface.co/datasets/tianyang/repobench-r/resolve/main/retrieval/python_cfr.gz"
+    "java-cff": "https://huggingface.co/datasets/tianyang/repobench-r/resolve/main/data/java_cff.gz",
+    "java-cfr": "https://huggingface.co/datasets/tianyang/repobench-r/resolve/main/data/java_cfr.gz",
+    "python-cff": "https://huggingface.co/datasets/tianyang/repobench-r/resolve/main/data/python_cff.gz",
+    "python-cfr": "https://huggingface.co/datasets/tianyang/repobench-r/resolve/main/data/python_cfr.gz"
 }
 
+# _URLs = {
+#     "java-cff": "https://huggingface.co/datasets/tianyang/repobench-r/blob/main/json_data/java_cff.json.gz",
+#     "java-cfr": "https://huggingface.co/datasets/tianyang/repobench-r/blob/main/json_data/java_cfr.json.gz",
+#     "python-cff": "https://huggingface.co/datasets/tianyang/repobench-r/blob/main/json_data/python_cff.json.gz",
+#     "python-cfr": "https://huggingface.co/datasets/tianyang/repobench-r/blob/main/json_data/python_cfr.json.gz"
+# }
 
 
 
@@ -111,8 +117,6 @@ class RepoBenchR(datasets.GeneratorBasedBuilder):
     def _info(self):
         features = datasets.Features(
             {
-                "level": datasets.Value("string"), 
-                "repo_name": datasets.Value("string"),
                 "file_path": datasets.Value("string"),
                 "context": datasets.Sequence(datasets.Value("string")),
                 "import_statement": datasets.Value("string"),
@@ -137,12 +141,20 @@ class RepoBenchR(datasets.GeneratorBasedBuilder):
 
         return [
             datasets.SplitGenerator(
-                name=datasets.Split("train"),
-                gen_kwargs={"data_dir": data_dir, "split": "train"},
+                name=datasets.Split("train_easy"),
+                gen_kwargs={"data_dir": data_dir, "split": "train_easy"},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split("train_hard"),
+                gen_kwargs={"data_dir": data_dir, "split": "train_hard"},
             ),
             datasets.SplitGenerator(
-                name=datasets.Split("test"),
-                gen_kwargs={"data_dir": data_dir, "split": "test"},
+                name=datasets.Split("test_easy"),
+                gen_kwargs={"data_dir": data_dir, "split": "test_easy"},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split("test_hard"),
+                gen_kwargs={"data_dir": data_dir, "split": "test_hard"},
             )
         ]
 
@@ -150,6 +162,17 @@ class RepoBenchR(datasets.GeneratorBasedBuilder):
         """ Yields examples. """
         with gzip.open(data_dir, "rb") as f:
             data = pickle.load(f)
+        
+        subset, level = split.split("_")
+
+        for i, example in enumerate(data[subset][level]):
+            yield i, {
+                "repo_name": example["repo_name"],
+                "file_path": example["file_path"],
+                "context": example["context"],
+                "import_statement": example["import_statement"],
+                "code": example["code"],
+                "next_line": example["next_line"],
+                "gold_snippet_index": example["golden_snippet_index"]
+            }
 
-        for i, example in enumerate(data[split]):
-            yield i, example