feat: set indexes to remote url

hatebr.py

@@ -19,7 +19,8 @@ HateBR is the first large-scale expert annotated corpus of Brazilian Instagram c
 """
 _URLS = {
     "train": "https://raw.githubusercontent.com/franciellevargas/HateBR/2d18c5b9410c2dfdd6d5394caa54d608857dae7c/dataset/HateBR.csv",
-    "annotators": "https://raw.githubusercontent.com/franciellevargas/HateBR/83e8dea4e2d007a08ef534f3322aedeb80949f5c/annotators/final_concordancia_Kappa_Fleiss.csv"
+    "annotators": "https://raw.githubusercontent.com/franciellevargas/HateBR/83e8dea4e2d007a08ef534f3322aedeb80949f5c/annotators/final_concordancia_Kappa_Fleiss.csv",
+    "indexes": "https://huggingface.co/datasets/ruanchaves/hatebr/raw/main/indexes.json"
 }
 
 _LABEL_INT_KEY = {
@@ -91,6 +92,7 @@ class Boun(datasets.GeneratorBasedBuilder):
                 gen_kwargs={
                     "filepath": downloaded_files["train"],
                     "annotators": downloaded_files["annotators"],
+                    "indexes": downloaded_files["indexes"],
                     "split": "train"
                 }
             ),
@@ -99,6 +101,7 @@ class Boun(datasets.GeneratorBasedBuilder):
                 gen_kwargs={
                     "filepath": downloaded_files["train"],
                     "annotators": downloaded_files["annotators"],
+                    "indexes": downloaded_files["indexes"],
                     "split": "validation"
                 }
             ),    
@@ -107,20 +110,21 @@ class Boun(datasets.GeneratorBasedBuilder):
                 gen_kwargs={
                     "filepath": downloaded_files["train"],
                     "annotators": downloaded_files["annotators"],
+                    "indexes": downloaded_files["indexes"],
                     "split": "test"
                 }
             )        
         ]
 
-    def _generate_examples(self, filepath, annotators, split):
+    def _generate_examples(self, filepath, annotators, indexes, split):
 
         records = pd.read_csv(filepath).to_dict("records")
         annotators = pd.read_csv(annotators).to_dict("records")
 
-        with open("indexes.json", "r") as f:
-            indexes = json.load(f)
+        with open(indexes, "r") as f:
+            indexes_object = json.load(f)
 
-        split_indexes = indexes[split]
+        split_indexes = indexes_object[split]
 
         selected_tuples = []
         for idx, (row, annotator) in enumerate(zip(records, annotators)):