Update builder.py

builder.py

@@ -42,23 +42,6 @@ The audio files are sampled at rate of 16KHz, and leading and trailing silences
 # The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
 # This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
 
-
-# _URLS = {
-#     'cleaned': {
-#         "index_file": "https://huggingface.co/datasets/spktsagar/openslr-nepali-asr-cleaned/resolve/main/data/utt_spk_text_clean.tsv",
-#         "zipfiles": [
-#             f"https://huggingface.co/datasets/spktsagar/openslr-nepali-asr-cleaned/resolve/main/data/asr_nepali_{k}.zip"
-#             for k in [*range(10), *'abcdef']
-#         ],
-#     },
-#     'original': {
-#         "index_file": "https://huggingface.co/datasets/spktsagar/openslr-nepali-asr-cleaned/resolve/main/data/utt_spk_text_orig.tsv",
-#         "zipfiles": [
-#             f"https://www.openslr.org/resources/54/asr_nepali_{k}.zip"
-#             for k in [*range(10), *'abcdef']
-#         ],
-#     },
-# }
 _URL = "https://huggingface.co/datasets/SumitMdhr/ASR/resolve/main/"
 _URLS = {
     "zipfile": _URL + "CLEAN_DATA.zip",
@@ -67,19 +50,16 @@ _URLS = {
 
 
 # TODO: Name of the dataset usually match the script name with CamelCase instead of snake_case
-class NepaliAsr(datasets.GeneratorBasedBuilder):
-    """End Silences Removed Large Nepali ASR Dataset"""
-
-    VERSION = datasets.Version("1.0.0")
-
+class ASR_SAM(datasets.GeneratorBasedBuilder):
+    
     def _info(self):
         return datasets.DatasetInfo(
             description=_DESCRIPTION,
             features=datasets.Features(
                 {
                     "utterance_id": datasets.Value("string"),
-                    "transcription": datasets.Value("string"),
                     "utterance": datasets.Audio(),
+                    "transcription": datasets.Value("string"),
                 }
             ),
             homepage="https://www.openslr.org/54/",
@@ -110,9 +90,9 @@ class NepaliAsr(datasets.GeneratorBasedBuilder):
         with open(index_file, encoding="utf-8") as f:
             reader = csv.DictReader(f, delimiter="\t")
             for key, row in enumerate(reader):
-                path = os.path.join(audio_paths, "CLEAN_DATA", row["utterance_id"])
+                path = os.path.join(audio_paths, 'CLEAN_DATA', row['utterance_id'])
                 yield key, {
-                    "utterance_id": row["utterance_id"],
+                    "utterance_id": row['utterance_id'],
                     "utterance": path,
-                    "transcription": row["transcription"],
+                    "transcription": row['transcription'],
                 }