fix splt names

aloresb.py

@@ -67,6 +67,29 @@ class Aloresb(datasets.GeneratorBasedBuilder):
             if os.path.exists(self.config.data_root_url + "/" + split + "/transcripts.txt"):
                 _transcripts[split] = self.config.data_root_url + "/" + split + "/transcripts.txt"
                 _audio_filenames[split] = self.config.data_root_url + "/" + split + "/audio_filenames.txt"
+                
+        if self.config.name in ["hausa", "wolof"]:
+            transcripts = dl_manager.download({
+                "train": self.config.data_root_url + "/train/transcripts.txt",
+                "dev": self.config.data_root_url + "/dev/transcripts.txt",
+                "test": self.config.data_root_url + "/test/transcripts.txt",
+            })
+            audio_filenames_paths = dl_manager.download({
+            "train": self.config.data_root_url + "/train/audio_filenames.txt",
+            "dev": self.config.data_root_url + "/dev/audio_filenames.txt",
+            "test": self.config.data_root_url + "/test/audio_filenames.txt",
+            })
+        else:
+            transcripts = dl_manager.download({
+                "train": self.config.data_root_url + "/train/transcripts.txt",
+                "test": self.config.data_root_url + "/test/transcripts.txt",
+            })
+            
+            audio_filenames_paths = dl_manager.download({
+                "train": self.config.data_root_url + "/train/audio_filenames.txt",
+                "test": self.config.data_root_url + "/test/audio_filenames.txt",
+            })
+            
         
         transcripts = dl_manager.download(_transcripts)
         
@@ -144,130 +167,3 @@ class Aloresb(datasets.GeneratorBasedBuilder):
 
                 
 
-
-
-# class Aloresb(datasets.GeneratorBasedBuilder):
-#     DEFAULT_WRITER_BATCH_SIZE = 1000
-#     VERSION = datasets.Version("1.0.0")
-#     BUILDER_CONFIGS = [_build_config(name) for name in _STATS.keys()]
-
-#     def _info(self):
-#         description = _DESCRIPTION
-#         features = datasets.Features(
-#             {
-#                 "id": datasets.Value("string"),
-#                 "audio_path": datasets.Value("string"),
-#                 "audio_id": datasets.Value("string"),
-#                 "audio": datasets.features.Audio(sampling_rate=44_100),
-#                 "transcript": datasets.Value("string"),
-#                 "language": datasets.Value("string"),
-#             }
-#         )
-
-#         return datasets.DatasetInfo(
-#             description=description,
-#             features=features,
-#             supervised_keys=None,
-#             # homepage=_HOMEPAGE,
-#             # license=_LICENSE,
-#             citation=_CITATION,
-#             version=self.VERSION,
-#         )
-
-#     def _split_generators(self, dl_manager):
-#         """Returns SplitGenerators."""
-#         # If several configurations are possible (listed in BUILDER_CONFIGS),
-#         # the configuration selected by the user is in self.config.name
-
-#         # dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLs
-#         # It can accept any type or nested list/dict and will give back the same structure
-#         # with the url replaced with path to local files.
-#         # By default the archives will be extracted and a path to a cached folder
-#         # where they are extracted is returned instead of the archive
-
-#         language = self.config.name
-
-#         audio_urls = {}
-#         splits = ("train", "dev", "test")
-#         for split in splits:
-#             if self.config.name == 'all':
-#                 audio_urls[split] = []
-#                 for language in _STATS:
-#                     if language == "all" or split not in _STATS[language]:
-#                         continue
-#                     for i in range(_STATS[language][split]['shards']):
-#                         audio_urls[split].append(_AUDIO_URL.format(language=language, split=split, shard_idx=i))
-#             elif split in _STATS[self.config.name]:
-#                 language = self.config.name
-#                 audio_urls[split] = [
-#                     _AUDIO_URL.format(language=language, split=split,
-#                                       shard_idx=i) for i in range(_STATS[language][split]['shards'])
-#                 ]
-#         archive_paths = dl_manager.download(audio_urls)
-#         local_extracted_archive_paths = dl_manager.extract(archive_paths) if not dl_manager.is_streaming else {}
-
-#         language = self.config.name
-
-#         if language == 'all':
-#             meta_urls = {split: _TRANSCRIPT_URL_ALL.format(split=split) for split in splits}
-#         else:
-#             meta_urls = {split: _TRANSCRIPT_URL.format(language=language, split=split)
-#                          for split in splits if split in _STATS[language]}
-
-#         meta_paths = dl_manager.download_and_extract(meta_urls)
-
-#         split_generators = []
-#         split_names = {
-#             "train": datasets.Split.TRAIN,
-#             "dev": datasets.Split.VALIDATION,
-#             "test": datasets.Split.TEST,
-#         }
-
-#         for split in splits:
-#             if split in _STATS[self.config.name]:
-#                 split_generators.append(
-#                     datasets.SplitGenerator(
-#                         name=split_names.get(split, split),
-#                         gen_kwargs={
-#                             "local_extracted_archive_paths": local_extracted_archive_paths.get(split),
-#                             "archives": [dl_manager.iter_archive(path) for path in archive_paths.get(split)],
-#                             "meta_path": meta_paths[split],
-#                         },
-#                     ),
-#                 )
-
-#         return split_generators
-
-#     def _generate_examples(self, local_extracted_archive_paths, archives, meta_path):
-#         """Yields examples as (key, example) tuples."""
-#         # This method handles input defined in _split_generators to yield (key, example) tuples
-#         # from the dataset.
-#         # The `key` is here for legacy reason (tfds) and is not important in itself.
-#         data_fields = [key for key in self._info().features.keys() if key not in ["audio", "path"]]
-#         metadata = {}
-#         with open(meta_path, "r", encoding="utf-8") as f:
-#             reader = csv.DictReader(f)
-#             for row in tqdm(reader, desc="Reading metadata..."):
-#                 language = self.config.name 
-#                 if (row['language'] == language) or (language == 'all'):
-#                     row["speaker_id"] = row["ID"]
-#                     audio_id = row["audio_id"]
-#                     # if data is incomplete, fill with empty values
-#                     metadata[audio_id] = {field: row.get(field, "") for field in data_fields}
-
-#         for i, audio_archive in enumerate(archives):
-#             #for filename, file in tqdm(audio_archive, desc=f"Searching and Extracting audios for config {self.config.name}..."):
-#             for filename, file in audio_archive:
-#                 _, filename = os.path.split(filename)
-#                 audio_id = filename.replace(".wav", "")
-#                 if audio_id in metadata:
-#                     result = dict(metadata[audio_id])
-#                     # set the audio feature and the path to the extracted file
-#                     path = os.path.join(local_extracted_archive_paths[i], filename) if local_extracted_archive_paths else filename
-#                     result["audio"] = {"path": path, "bytes": file.read()}
-#                     result["audio_id"] = audio_id # add audio_id to the metadata
-#                     # set path to None if the audio file doesn't exist locally (i.e. in streaming mode)
-#                     result["audio_path"] = path if local_extracted_archive_paths else filename
-
-#                     yield path, result
-