data loader updated

xCodeEval.py

@@ -560,7 +560,20 @@ _SHARDS = {
 				{"type":"file","name":"Ruby.jsonl"},
 				{"type":"file","name":"Rust.jsonl"}
 			  ]},
-			  {"type":"report","directories":0,"files":133}
+			  {"type":"directory","name":"code_translation/validation_small","contents":[
+				{"type":"file","name":"C#.jsonl"},
+				{"type":"file","name":"C++.jsonl"},
+				{"type":"file","name":"C.jsonl"},
+				{"type":"file","name":"Go.jsonl"},
+				{"type":"file","name":"Java.jsonl"},
+				{"type":"file","name":"Javascript.jsonl"},
+				{"type":"file","name":"Kotlin.jsonl"},
+				{"type":"file","name":"PHP.jsonl"},
+				{"type":"file","name":"Python.jsonl"},
+				{"type":"file","name":"Ruby.jsonl"},
+				{"type":"file","name":"Rust.jsonl"}
+			  ]},
+			  {"type":"report","directories":0,"files":144}
 			],
 	"program_synthesis":[
 			  {"type":"directory","name":"program_synthesis/test","contents":[
@@ -1927,7 +1940,6 @@ def get_file_name(task_name, split_name):
 BASE_URL =  "https://huggingface.co/datasets/NTU-NLP-sg/xCodeEval/resolve/main/{task_name}/{split}/{file_name}"
 PROBLEM_DESC_URL = "https://huggingface.co/datasets/NTU-NLP-sg/xCodeEval/resolve/main/problem_descriptions.jsonl"
 UNIT_TEST_DB_URL = "https://huggingface.co/datasets/NTU-NLP-sg/xCodeEval/resolve/main/unittest_db.json"
-
   
 class xCodeEvalConfig(datasets.BuilderConfig):
 	"""BuilderConfig"""
@@ -2005,7 +2017,7 @@ class xCodeEval(datasets.GeneratorBasedBuilder):
 		train_urls = [ BASE_URL.format(task_name=task_name, split="train", file_name=urllib.parse.quote(file_name)) for file_name in  TRAIN_FILE_NAMES]
 		validation_urls = [ BASE_URL.format(task_name=task_name, split="validation", file_name=urllib.parse.quote(file_name)) for file_name in  VALIDATION_FILE_NAMES]
 		test_urls = [ BASE_URL.format(task_name=task_name, split="test", file_name=urllib.parse.quote(file_name)) for file_name in  TEST_FILE_NAMES]
-  
+
 		# train_urls = [ BASE_URL.format(task_name=task_name, split="train", file_name=file_name) for file_name in  TRAIN_FILE_NAMES]
 		# validation_urls = [ BASE_URL.format(task_name=task_name, split="validation", file_name=file_name) for file_name in  VALIDATION_FILE_NAMES]
 		# test_urls = [ BASE_URL.format(task_name=task_name, split="test", file_name=file_name) for file_name in  TEST_FILE_NAMES]
@@ -2018,13 +2030,20 @@ class xCodeEval(datasets.GeneratorBasedBuilder):
 		# validation_downloaded_files = validation_urls
 		# test_downloaded_files = test_urls
 
+		if task_name == "code_translation":
+			VALIDATION_SMALL_FILE_NAMES = get_file_name(task_name, "validation_small")
+			validation_small_urls = [ BASE_URL.format(task_name=task_name, split="validation_small", file_name=urllib.parse.quote(file_name)) for file_name in  VALIDATION_SMALL_FILE_NAMES]
+			validation_small_downloaded_files = dl_manager.download(validation_small_urls)
+			# validation_small_urls = [ BASE_URL.format(task_name=task_name, split="validation_small", file_name=file_name) for file_name in  VALIDATION_SMALL_FILE_NAMES]
+			# validation_small_downloaded_files = validation_small_urls
+   
 		prob_desc_file, unit_test_db_file = None, None
 		if task_name in _PROBLEM_DESC_REQ_TASK:
 			prob_desc_file = dl_manager.download(PROBLEM_DESC_URL)
 		if task_name in _UNIT_TEST_REQ_TASK: 
 			unit_test_db_file = dl_manager.download(UNIT_TEST_DB_URL)
 		
-		return [
+		split_info = [
 			datasets.SplitGenerator(
 	   			name=datasets.Split.TRAIN, 
 		  		gen_kwargs={
@@ -2048,6 +2067,18 @@ class xCodeEval(datasets.GeneratorBasedBuilder):
 	 			}
 			),
 		]
+		if task_name == "code_translation":
+			split_info.append(
+				datasets.SplitGenerator(
+					name="validation_small", 
+					gen_kwargs={
+						"filepaths": validation_small_downloaded_files,
+						"problem_description_file": prob_desc_file,
+						"unit_test_db_file": unit_test_db_file,
+					}
+				),
+			)
+		return split_info
 		
 	def _generate_examples(self, filepaths, problem_description_file = None, unit_test_db_file = None):
 		"""This function returns the examples"""