Update hausa_2_eng_2.py

hausa_2_eng_2.py

@@ -20,9 +20,9 @@ from .release_stats import STATS
 
 _BASE_URL = "https://huggingface.co/datasets/Seon25/hausa_2_eng_2/resolve/main"
 
-_AUDIO_URL = _BASE_URL + "audio/ha/{split}/ha_{split}_0.tar"
+_AUDIO_URL = _BASE_URL + "audio/ha/{split}/ha_{split}_{shard_idx}.tar"
 
-_TRANSCRIPT_URL = _BASE_URL + "transcript/ha/{split}.tsv"
+_TRANSCRIPT_URL = _BASE_URL + "transcript/{lang}/{split}.tsv"
 _N_SHARDS_URL ="n_shards.json"
 
 
@@ -77,7 +77,7 @@ class Hausa2Eng(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        lang = "ha"
+        lang = self.config.name
         n_shards_path = dl_manager.download_and_extract(_N_SHARDS_URL)
         with open(n_shards_path, encoding="utf-8") as f:
             n_shards = json.load(f)
@@ -86,12 +86,12 @@ class Hausa2Eng(datasets.GeneratorBasedBuilder):
         splits = ("train", "dev", "test", "other", "invalidated")
         for split in splits:
             audio_urls[split] = [
-                _AUDIO_URL.format(lang="ha", split=split, 0) 
+                _AUDIO_URL.format(lang= lang, split=split, shard_idx=i) for i in range(n_shards[lang][split]) 
             ]
         archive_paths = dl_manager.download(audio_urls)
         local_extracted_archive_paths = dl_manager.extract(archive_paths) if not dl_manager.is_streaming else {}
 
-        meta_urls = {split: _TRANSCRIPT_URL.format(lang="ha", split=split) for split in splits}
+        meta_urls = {split: _TRANSCRIPT_URL.format(lang=lang, split=split) for split in splits}
         meta_paths = dl_manager.download_and_extract(meta_urls)
 
         split_generators = []
@@ -115,7 +115,7 @@ class Hausa2Eng(datasets.GeneratorBasedBuilder):
         return split_generators
 
     def _generate_examples(self, local_extracted_archive_paths, archives, meta_path):
-        data_fields = list(self._info().features.keys())
+        data_fields = list (self._info().features.keys())
         metadata = {}
         with open(meta_path, encoding="utf-8") as f:
             reader = csv.DictReader(f, delimiter="\t", quoting=csv.QUOTE_NONE)