Update teric_asr_lab.py

teric_asr_lab.py

@@ -28,7 +28,7 @@ from .release_stats import STATS
 
 
 _CITATION = """\
-@inproceedings{commonvoice:2020,
+@inproceedings{TericLabs:2023,
   author = {Bateesa, T. and Wairagala, EP. },
   title = {Teric Lab: A Massively-Multilingual Speech Corpus},
 }
@@ -43,7 +43,7 @@ _BASE_URL = "https://huggingface.co/datasets/Tobius/teric_asr_lab/resolve/main/"
 
 _AUDIO_URL = _BASE_URL + "audio/{lang}/{split}/{lang}_{split}_{shard_idx}.tar"
 
-_TRANSCRIPT_URL = _BASE_URL + "transcript/{lang}/{split}.csv"
+_TRANSCRIPT_URL = _BASE_URL + "transcript/{lang}/{split}.tsv"
 
 _N_SHARDS_URL = _BASE_URL + "n_shards.json"
 
@@ -102,7 +102,8 @@ class CommonVoice(datasets.GeneratorBasedBuilder):
         )
         features = datasets.Features(
             {
-                "audio clip": datasets.features.Audio(sampling_rate=48_000),
+                "path": datasets.Value("string"),
+                "audio": datasets.features.Audio(sampling_rate=48_000),
                 "sentence": datasets.Value("string"),
                 "up_votes": datasets.Value("int64"),
                 "down_votes": datasets.Value("int64"),
@@ -165,8 +166,8 @@ class CommonVoice(datasets.GeneratorBasedBuilder):
         with open(meta_path, encoding="utf-8") as f:
             reader = csv.DictReader(f, delimiter="\t", quoting=csv.QUOTE_NONE)
             for row in tqdm(reader, desc="Reading metadata..."):
-                if not row["audio clip"].endswith(".wav"):
-                    row["audio clip"] += ".wav"
+                if not row["path"].endswith(".wav"):
+                    row["path"] += ".wav"
                 # # accent -> accents in CV 8.0
                 # if "accents" in row:
                 #     row["accent"] = row["accents"]
@@ -175,7 +176,7 @@ class CommonVoice(datasets.GeneratorBasedBuilder):
                 for field in data_fields:
                     if field not in row:
                         row[field] = ""
-                metadata[row["audio clip"]] = row
+                metadata[row["path"]] = row
 
         for i, audio_archive in enumerate(archives):
             for path, file in audio_archive:
@@ -184,6 +185,6 @@ class CommonVoice(datasets.GeneratorBasedBuilder):
                     result = dict(metadata[filename])
                     # set the audio feature and the path to the extracted file
                     path = os.path.join(local_extracted_archive_paths[i], path) if local_extracted_archive_paths else path
-                    result["audio clip"] = {"audio clip": path, "bytes": file.read()}
-                    result["audio clip"] = path
+                    result["audio"] = {"path": path, "bytes": file.read()}
+                    result["path"] = path
                     yield path, result