Update MANTRAGSC.py

MANTRAGSC.py

@@ -118,26 +118,22 @@ class MANTRAGSC(datasets.GeneratorBasedBuilder):
 
 	def _info(self):
 
-		# if self.config.name.find("emea") != -1:
-		# 	names = ['O', 'DISO', 'CHEM|PHEN', 'DEVI', 'PHEN', 'PROC', 'OBJC', 'ANAT', 'LIVB', 'CHEM', 'PHYS']
-		# elif self.config.name.find("medline") != -1:
-		# 	names = ['O', 'DISO', 'GEOG', 'DEVI', 'Manufactured Object', 'PHEN', 'PROC', 'Research Device', 'OBJC', 'Mental or Behavioral Dysfunction', 'Research Activity', 'ANAT', 'LIVB', 'CHEM', 'PHYS']
-		# elif self.config.name.find("patents") != -1:
-		# 	names = ['O', 'PROC', 'DISO', 'LIVB', 'PHYS', 'PHEN', 'ANAT', 'OBJC', 'Amino Acid, Peptide, or Protein|Enzyme|Receptor', 'DEVI', 'CHEM']
+		if self.config.name.find("emea") != -1:
+			names = ['B-ANAT', 'I-ANAT', 'I-PHEN', 'B-PROC', 'I-CHEM', 'I-PHYS', 'B-DEVI', 'O', 'B-PHYS', 'I-DEVI', 'B-OBJC', 'I-DISO', 'B-PHEN', 'I-LIVB', 'B-DISO', 'B-LIVB', 'B-CHEM', 'I-PROC']
+		elif self.config.name.find("medline") != -1:
+			names = ['B-ANAT', 'I-ANAT', 'B-PROC', 'I-CHEM', 'I-PHYS', 'B-GEOG', 'B-DEVI', 'O', 'B-PHYS', 'I-LIVB', 'B-OBJC', 'I-DISO', 'I-DEVI', 'B-PHEN', 'B-DISO', 'B-LIVB', 'B-CHEM', 'I-PROC']
+		elif self.config.name.find("patents") != -1:
+			names = ['B-ANAT', 'I-ANAT', 'B-PROC', 'I-CHEM', 'I-PHYS', 'B-DEVI', 'O', 'I-LIVB', 'B-OBJC', 'I-DISO', 'B-PHEN', 'I-PROC', 'B-DISO', 'I-DEVI', 'B-LIVB', 'B-CHEM', 'B-PHYS']
 		
 		features = datasets.Features(
 			{
 				"id": datasets.Value("string"),
-				# "document_id": datasets.Value("string"),
 				"tokens": [datasets.Value("string")],
 				"ner_tags": datasets.Sequence(
-					datasets.Value("string")
+					datasets.features.ClassLabel(
+						names = names,
+					)
 				),
-				# "ner_tags": datasets.Sequence(
-				# 	datasets.features.ClassLabel(
-				# 		names = names,
-				# 	)
-				# ),
 			}
 		)
 
@@ -152,9 +148,8 @@ class MANTRAGSC(datasets.GeneratorBasedBuilder):
 	def _split_generators(self, dl_manager):
 
 		language, dataset_type = self.config.name.split("_")
-		
-		data_dir = dl_manager.download_and_extract(_URL)
 
+		data_dir = dl_manager.download_and_extract(_URL)
 		data_dir = Path(data_dir) / "GSC-v1.1" / f"{_DATASET_TYPES[dataset_type]}_GSC_{language}_man.xml"
 
 		return [
@@ -162,8 +157,6 @@ class MANTRAGSC(datasets.GeneratorBasedBuilder):
 				name=datasets.Split.TRAIN,
 				gen_kwargs={
 					"data_dir": data_dir,
-					"language": language,
-					"dataset_type": dataset_type,
 					"split": "train",
 				},
 			),
@@ -171,8 +164,6 @@ class MANTRAGSC(datasets.GeneratorBasedBuilder):
 				name=datasets.Split.VALIDATION,
 				gen_kwargs={
 					"data_dir": data_dir,
-					"language": language,
-					"dataset_type": dataset_type,
 					"split": "validation",
 				},
 			),
@@ -180,15 +171,12 @@ class MANTRAGSC(datasets.GeneratorBasedBuilder):
 				name=datasets.Split.TEST,
 				gen_kwargs={
 					"data_dir": data_dir,
-					"language": language,
-					"dataset_type": dataset_type,
 					"split": "test",
 				},
 			),
 		]
 
-	def _generate_examples(self, data_dir, language, dataset_type, split):
-		"""Yields examples as (key, example) tuples."""
+	def _generate_examples(self, data_dir, split):
 
 		with open(data_dir) as fd:
 			doc = xmltodict.parse(fd.read())
@@ -197,9 +185,6 @@ class MANTRAGSC(datasets.GeneratorBasedBuilder):
 
 		for d in doc["Corpus"]["document"]:
 
-			# print(d)
-			# print()
-
 			if type(d["unit"]) != type(list()):
 				d["unit"] = [d["unit"]]
 
@@ -236,13 +221,14 @@ class MANTRAGSC(datasets.GeneratorBasedBuilder):
 						"offset_end": offset_end,
 					})
 
-				ner_tags = ["O" for o in tokens]
+				ner_tags = [["O", 0] for o in tokens]
 
 				for tag in tags:
 
+					cpt = 0
+
 					for idx, token in enumerate(tokens):
 
-						# Range du tag
 						rtok = range(token["offset_start"], token["offset_end"]+1)
 						rtag = range(tag["offset_start"], tag["offset_end"]+1)
 
@@ -252,15 +238,27 @@ class MANTRAGSC(datasets.GeneratorBasedBuilder):
 							# if ner_tags[idx] != "O" and ner_tags[idx] != tag['label']:
 							# 	print(f"{token} - currently: {ner_tags[idx]} - after: {tag['label']}")
 							
-							ner_tags[idx] = tag["label"]
+							if ner_tags[idx][0] == "O":
+								cpt += 1
+								ner_tags[idx][0] = tag["label"]
+								ner_tags[idx][1] = cpt
+
+				for i in range(len(ner_tags)):
+
+					tag = ner_tags[i][0]
+
+					if tag == "O":
+						continue
+					elif tag != "O" and ner_tags[i][1] == 1:
+						ner_tags[i][0] = "B-" + tag
+					elif tag != "O" and ner_tags[i][1] != 1:
+						ner_tags[i][0] = "I-" + tag
 
 				obj = {
 					"id": u["@id"],
 					"tokens": [t["token"] for t in tokens],
-					"ner_tags": ner_tags,
+					"ner_tags": [n[0] for n in ner_tags],
 				}
-				# print(obj)
-				# print("*"*50)
 
 				all_res.append(obj)