Add file_name feature

xCodeEval.py

@@ -209,6 +209,7 @@ _PROB_DESC_TEXT_FEATURES = {
 
 _TEXT_FEATURES = {
 	"apr": {
+		"file_name",
 		"similarity_score",
 		"equal_cnt",
 		"replace_cnt",
@@ -230,6 +231,7 @@ _TEXT_FEATURES = {
 		"lang_cluster",
 	},
 	"code_translation": {
+		"file_name",
 		"lang",
 		"source_code",
   		"code_uid",
@@ -238,6 +240,7 @@ _TEXT_FEATURES = {
 		"exec_outcome",
 	},
 	"program_synthesis": {
+		"file_name",
 		"lang",
 		"source_code",
 		"tags",
@@ -248,22 +251,26 @@ _TEXT_FEATURES = {
 		"exec_outcome"
 	},
 	"retrieval_code_code": {
+		"file_name",
 		"positive_code",
 		"negative_code",
 		"src_uid",
 		"source_code",
 	},
 	"retrieval_nl_code": {
+		"file_name",
 		"nl",
 		"positive_code",
 		"negative_code",
 		"src_uid",
 	},
 	"retrieval_corpus": {
+		"file_name",
 		"idx", 
 		"source_code",
 	},
  	"code_compilation": {
+		"file_name",
 		"lang",
 		"source_code",
 		"compilation_error",
@@ -272,6 +279,7 @@ _TEXT_FEATURES = {
 		"difficulty",
 	},
 	"tag_classification": {
+		"file_name",
 		"lang",
 		"source_code",
 		"tags",
@@ -2060,9 +2068,11 @@ class xCodeEval(datasets.GeneratorBasedBuilder):
 
 		idx = 0
 		for filepath in filepaths:
+			file_name = filepath.split("/")[-1]
 			with open(filepath) as rp:
 				for line in rp:
 					sample = json.loads(line)
+					sample["file_name"] = file_name
 					for pre_feature in list(sample.keys()):
 						if pre_feature not in _TEXT_FEATURES[task_name]:
 							sample.pop(pre_feature)