Hail may

hinglish.py

@@ -3,14 +3,24 @@ import json
 import os
 import datasets
 
+# _ANNOT_URL = {
+#     "train": "https://huggingface.co/datasets/ujs/hinglish/resolve/main/data/metadata.csv",
+#     "test": "https://huggingface.co/datasets/ujs/hinglish/resolve/main/data/metadata-test.csv",
+# }
+
 _ANNOT_URL = {
-    "train": "https://huggingface.co/datasets/ujs/hinglish/resolve/main/data/metadata.csv",
-    "test": "https://huggingface.co/datasets/ujs/hinglish/resolve/main/data/metadata-test.csv"
+    "train": "./data/metadata.csv",
+    "test": "./data/metadata-test.csv"
 }
 
+# _DATA_URL = [
+#     "https://huggingface.co/datasets/ujs/hinglish/resolve/main/data/train.tar.gz",
+#     "https://huggingface.co/datasets/ujs/hinglish/resolve/main/data/test.tar.gz"
+# ]
+
 _DATA_URL = [
-    "https://huggingface.co/datasets/ujs/hinglish/blob/main/data/train.tar.gz",
-    "https://huggingface.co/datasets/ujs/hinglish/blob/main/data/test.tar.gz"
+    "./data/train.tar.gz",
+    "./data/test.tar.gz"
 ]
 
 _DESCRIPTION = """\
@@ -28,21 +38,19 @@ class HinglishDataset(datasets.GeneratorBasedBuilder):
                 "audio": datasets.Audio(sampling_rate=16_000),
                 "sentence": datasets.Value("string"),
             }),
-            supervised_keys=("audio", "sentence"),
+            supervised_keys=None,
         )
 
     def _split_generators(self, dl_manager):
         prompts_paths = dl_manager.download(_ANNOT_URL)
         archive = dl_manager.download(_DATA_URL)
-        train_dir = "hinglish/data/train"
-        test_dir = "hinglish/data/test"
-
+        data_dir = './data'
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 gen_kwargs={
                     "prompts_path": prompts_paths["train"],
-                    "path_to_clips": train_dir,
+                    "path_to_clips": data_dir,
                     "audio_files": dl_manager.iter_archive(archive),
                 },
             ),
@@ -50,7 +58,7 @@ class HinglishDataset(datasets.GeneratorBasedBuilder):
                 name=datasets.Split.TEST,
                 gen_kwargs={
                     "prompts_path": prompts_paths["test"],
-                    "path_to_clips": test_dir,
+                    "path_to_clips": data_dir,
                     "audio_files": dl_manager.iter_archive(archive),
                 },
             ),
@@ -61,7 +69,6 @@ class HinglishDataset(datasets.GeneratorBasedBuilder):
         with open(prompts_path, encoding="utf-8") as f:
             for row in f:
                 data = row.strip().split(",")
-                print(data)
                 audio_path = "/".join([path_to_clips, data[0]])
                 examples[audio_path] = {
                     "path": audio_path,