Update DEFT2021.py

DEFT2021.py

@@ -585,16 +585,12 @@ class DEFT2021(datasets.GeneratorBasedBuilder):
 
         elif self.config.name.find("ner") != -1:
 
-            print("Inside NER")
-
             all_res = []
 
             key = 0
 
             with open(os.path.join(data_dir, 'distribution-corpus.txt')) as f_dist:
 
-                print("T1")
-
                 distribution = [line.strip() for line in f_dist.readlines()]
 
                 random.seed(4)
@@ -605,31 +601,20 @@ class DEFT2021(datasets.GeneratorBasedBuilder):
                 train, validation = np.split(train, [int(len(train)*0.73)])
                 test = [raw.split('\t')[0] for raw in distribution if len(raw.split('\t')) == 4 and raw.split('\t')[3] == 'test 2021']
 
-                print("T2")
                 ann_path = Path(data_dir) / "DEFT-cas-cliniques"
 
                 for guid, txt_file in enumerate(sorted(ann_path.glob("*.txt"))):
 
-                    print("T3")
-
                     brat_example = self.parse_brat_file(txt_file, parse_notes=True)
 
                     source_example = self._to_source_example(brat_example)
 
-                    print("T4")
-
                     prod_format = self.convert_to_prodigy(source_example, _LABELS_BASE)
 
-                    print("T5")
-
                     hf_format = self.convert_to_hf_format(prod_format)
 
-                    print("T6")
-
                     hf_split = self.split_sentences(hf_format)
 
-                    print("T7")
-
                     for h in hf_split:
 
                         all_res.append({
@@ -648,10 +633,6 @@ class DEFT2021(datasets.GeneratorBasedBuilder):
                 elif split == "test":
                     allowed_ids = list(test)
 
-                print("train", len(train))
-                print("validation", len(validation))
-                print("test", len(test))
-
                 for r in all_res:
                     if r["document_id"]+'.txt' in allowed_ids:
                         yield r["id"], r