update builder_script

xCodeEval.py

@@ -8,6 +8,7 @@ import datasets
 import urllib.parse
 import textwrap
 from multiprocessing import Pool, cpu_count
+import os
 logger = datasets.logging.get_logger(__name__)
 
 _CITATION = """\
@@ -187,6 +188,7 @@ _CUSTOM_FEATURES = {
 	"insert_cnt": datasets.Value("int32"),
 	"fix_ops_cnt": datasets.Value("int32"),
 	"difficulty": datasets.Value("int32"),
+	"compilation_error": datasets.Value("bool"),
 	# "prob_desc_sample_inputs": datasets.Sequence(datasets.Value("string")),
 	# "prob_desc_sample_outputs": datasets.Sequence(datasets.Value("string")),
 }
@@ -264,7 +266,6 @@ _TEXT_FEATURES = {
  	"code_compilation": {
 		"lang",
 		"source_code",
-		"tags",
 		"compilation_error",
 		"code_uid",
 		"src_uid",
@@ -282,9 +283,9 @@ _TEXT_FEATURES = {
 }
 
 for task in _PROBLEM_DESC_REQ_TASK:
-    _TEXT_FEATURES[task].update(set(_PROB_DESC_TEXT_FEATURES.values()))
-    
-    
+	_TEXT_FEATURES[task].update(set(_PROB_DESC_TEXT_FEATURES.values()))
+	
+	
 _SHARDS = {
 	"apr":[
 			  {"type":"directory","name":"apr/test","contents":[
@@ -1956,30 +1957,17 @@ class xCodeEval(datasets.GeneratorBasedBuilder):
  
 	def _info(self):
 		features = {
-      				feature: _CUSTOM_FEATURES[feature] if feature in _CUSTOM_FEATURES else datasets.Value("string") 
-              		for feature in self.config.text_features
-                }
+	  				feature: _CUSTOM_FEATURES[feature] if feature in _CUSTOM_FEATURES else datasets.Value("string") 
+			  		for feature in self.config.text_features
+				}
 		if self.config.name in _UNIT_TEST_REQ_TASK:
 			features["hidden_unit_test"] = datasets.Value("string")
-		# 	features["hidden_unit_test"] = datasets.features.Sequence(
-        #                 {
-        #                     "input": datasets.Value("string"),
-        #                     "output": datasets.Sequence(datasets.Value("string")),
-        #                 }
-        #             ),
 		return datasets.DatasetInfo(
-			# This is the description that will appear on the datasets page.
 			description=self.config.description + "\n" + _DESCRIPTION,
-			# datasets.features.FeatureConnectors
 			features=datasets.Features(
 				features
-				# These are the features of your dataset like images, labels ...
 			),
-			# If there's a common (input, target) tuple from the features,
-			# specify them here. They'll be used if as_supervised=True in
-			# builder.as_dataset.
 			supervised_keys=None,
-			# Homepage of the dataset for documentation
 			homepage="https://github.com/ntunlp/xCodeEval",
 			citation=self.config.citation,
 		)
@@ -1989,8 +1977,10 @@ class xCodeEval(datasets.GeneratorBasedBuilder):
 		task_name = self.config.name
 		if task_name == "retrieval_corpus":
 			TEST_FILE_NAMES = get_file_name(task_name, "")
-			test_urls = [ BASE_URL.format(task_name=task_name, split="train", file_name=file_name) for file_name in  TEST_FILE_NAMES]
+			test_urls = [ BASE_URL.format(task_name=task_name, split="", file_name=urllib.parse.quote(file_name)).replace("s//", "s/") for file_name in  TEST_FILE_NAMES]
+			# test_urls = [ BASE_URL.format(task_name=task_name, split="", file_name=file_name) for file_name in  TEST_FILE_NAMES]
 			test_downloaded_files = dl_manager.download(test_urls)
+			# test_downloaded_files = test_urls
 			return [
 				datasets.SplitGenerator(
 					name=datasets.Split.TEST, 
@@ -2003,13 +1993,22 @@ class xCodeEval(datasets.GeneratorBasedBuilder):
 		TRAIN_FILE_NAMES = get_file_name(task_name, "train")
 		VALIDATION_FILE_NAMES = get_file_name(task_name, "validation")
 		TEST_FILE_NAMES = get_file_name(task_name, "test")
+
 		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]
+  
+  
 		train_downloaded_files = dl_manager.download(train_urls)
 		validation_downloaded_files = dl_manager.download(validation_urls)
 		test_downloaded_files = dl_manager.download(test_urls)
+		# train_downloaded_files = train_urls
+		# validation_downloaded_files = validation_urls
+		# test_downloaded_files = test_urls
 
 		prob_desc_file, unit_test_db_file = None, None
 		if task_name in _PROBLEM_DESC_REQ_TASK:
@@ -2059,9 +2058,10 @@ class xCodeEval(datasets.GeneratorBasedBuilder):
 			with open(unit_test_db_file) as rp:
 				unit_test_db = json.load(rp)
 
+		idx = 0
 		for filepath in filepaths:
 			with open(filepath) as rp:
-				for idx, line in enumerate(rp):
+				for line in rp:
 					sample = json.loads(line)
 					for pre_feature in list(sample.keys()):
 						if pre_feature not in _TEXT_FEATURES[task_name]:
@@ -2073,20 +2073,24 @@ class xCodeEval(datasets.GeneratorBasedBuilder):
 						sample["hidden_unit_test"] = ""
 					if task_name not in _PROBLEM_DESC_REQ_TASK or problem_descriptions is None:
 						yield idx, sample # if problem_description_file is None then unit_test_db_file should be None
+						idx += 1
 						continue
 					
-					# if problem_description_file is not None, the sample has `src_uid`
+					
 					src_uid = sample["src_uid"]
+					# if problem_description_file is not None, the sample has `src_uid`
 					prob_desc = problem_descriptions[src_uid]
 					for key, ckey in _PROB_DESC_TEXT_FEATURES.items():
 						if ckey == "prob_desc_sample_inputs" or ckey == "prob_desc_sample_outputs":
 							sample[ckey] = json.dumps(prob_desc[key])
 						else:
 							sample[ckey] = prob_desc[key]
-
+	
 					if task_name not in _UNIT_TEST_REQ_TASK or unit_test_db is None:
 						yield idx, sample
+						idx += 1
 						continue
 					
 					sample["hidden_unit_test"] = json.dumps(unit_test_db[src_uid])
-					yield idx, sample
+					yield idx, sample
+					idx += 1