Update direitodigital.py

direitodigital.py

@@ -5,6 +5,7 @@ Reference: https://huggingface.co/datasets/nielsr/funsd/blob/main/funsd.py
 import ast
 import os
 import random
+import re
 
 import datasets
 import matplotlib.pyplot as plt
@@ -76,7 +77,6 @@ class Funsd(datasets.GeneratorBasedBuilder):
                     "segment_class": datasets.Sequence(
                         datasets.features.ClassLabel(
                             names=["O", "B-PARTES","I-PARTES", "B-EMENTA","I-EMENTA", "B-ACORDAO","I-ACORDAO", "B-RELATORIO","I-RELATORIO", "B-VOTO", "I-VOTO"]
-                            #names=["OUTROS", "PARTES", "EMENTA","ACORDAO","RELATORIO", "VOTO"]
                         )
                     ),
                     "image": datasets.features.Image(),
@@ -88,8 +88,9 @@ class Funsd(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        downloaded_file = dl_manager.download_and_extract("http://direitodigital.ufms.br:8000/direitodigital_dev.zip")
         """Returns SplitGenerators."""
+        downloaded_file = dl_manager.download_and_extract("http://direitodigital.ufms.br:8000/direitodigital.zip")
+        
         return [
              datasets.SplitGenerator(
                 name=datasets.NamedSplit('trainmini_stf'), gen_kwargs={"filepath": f"{downloaded_file}/trainmini/stf"}
@@ -133,12 +134,11 @@ class Funsd(datasets.GeneratorBasedBuilder):
         bbox = [[x0, y0, x1, y1] for _ in range(len(bboxs))]
         return bbox
 
-    def _generate_examples():
+    def _generate_examples(self, filepath):
         guid = 0
-
         file_paths = [
             os.path.join(root, filename)
-            for root, dirs, files in os.walk(dataset_path)
+            for root, dirs, files in os.walk(filepath)
             for filename in files
             if filename.endswith('.tsv')
         ]
@@ -149,11 +149,18 @@ class Funsd(datasets.GeneratorBasedBuilder):
         for tsv_name in file_paths:
             #for file in file_names:
                 #tsv_name = os.path.join(dir_path, file)
+                #print(file_paths)
+                base_path = os.path.dirname(os.path.dirname(filepath))
+                pdf_base_path = os.path.join(base_path, 'pdf')
                 
-                pdf_name = tsv_name.replace('/LayoutLM_dataset/', '/pdfs/').replace('.tsv', '.pdf')
+                pdf_name = tsv_name.replace('.tsv', '.pdf')
+                pdf_name = pdf_name.replace(base_path,pdf_base_path)
+
                 
                 img_path = tsv_name.replace('.tsv','')
-                pages_img = convert_from_path(pdf_name, size=(762,1000),fmt="png")
+                print(pdf_name)
+                
+                pages_img = convert_from_path(pdf_name, size=(595,840),fmt="png")
 
                 dataframe = pd.read_csv(tsv_name ,delimiter='\t', keep_default_na=False).replace(["None","SUMULA","CERTIDAO_DE_JULGAMENTO","AUTUACAO","CERTIDAO","EXTRATO_DE_ATA"], 'OUTROS')
                 for page in dataframe['page'].unique():