enable single accent download

accent_stats.py

@@ -0,0 +1 @@
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afrispeech-200.py

@@ -21,11 +21,13 @@
 
 import csv
 import os
+import json
 
 import datasets
 from datasets.utils.py_utils import size_str
 from tqdm import tqdm
 
+from .accent_stats import ACCENT_STATS
 
 _CITATION = """ TBD """
 
@@ -36,6 +38,22 @@ Our goal is to raise awareness for and advance Pan-African English ASR research,
 especially for the clinical domain. 
 """
 
+ACCENT_MAPPER = {
+    'akan (fante)': 'akan-fante',
+    'igbo and yoruba': 'igbo-and-yoruba',
+    'ijaw(nembe)': 'ijaw-nembe',
+    'luganda and kiswahili': 'luganda-and-kiswahili',
+    'luo, swahili': 'luo-swahili',
+    'nasarawa eggon': 'nasarawa-eggon',
+    'south african english': 'south-african-english',
+    'southern sotho': 'southern-sotho', 
+    'swahili ,luganda ,arabic': 'swahili-luganda-arabic',
+    'venda and xitsonga': 'venda-and-xitsonga',
+    'yala mbembe': 'yala-mbembe',
+    'yoruba, hausa': 'yoruba-hausa'
+}
+ACCENT_MAPPER_REVERSED = {v:k for k,v in ACCENT_MAPPER.items()}
+
 _ALL_CONFIGS = [
        'yoruba', 'igbo', 'swahili', 'ijaw', 'xhosa', 'twi', 'luhya',
        'igala', 'urhobo', 'hausa', 'kiswahili', 'zulu', 'isizulu',
@@ -66,9 +84,13 @@ _LICENSE = "http://creativecommons.org/licenses/by-nc-sa/4.0/"
 
 # _BASE_URL = "https://huggingface.co/datasets/tobiolatunji/afrispeech-200/main/"
 
-_AUDIO_URL = "audio/{split}/{split}_{shard_idx}.tar.gz"
+_AUDIO_URL = "audio/{accent}/{split}/{split}_{accent}_{shard_idx}.tar.gz"
+_AUDIO_URL_ALL = "audio/{split}/{split}_{shard_idx}.tar.gz"
+
+_TRANSCRIPT_URL = "transcripts/{accent}/{split}.csv"
+_TRANSCRIPT_URL_ALL = "transcripts/{split}.csv"
 
-_TRANSCRIPT_URL = "transcripts/{split}.csv"
+_N_SHARDS_URL = "accents.json"
 
 _SHARDS = {
     'train': 35,
@@ -76,35 +98,42 @@ _SHARDS = {
     'test': 4
 }
 
+    
 class AfriSpeechConfig(datasets.BuilderConfig):
     """BuilderConfig for afrispeech"""
 
     def __init__(
-        self, name, description, homepage, data_url
+        self, accent, **kwargs
     ):
+        self.name = accent
+        self.homepage = _HOMEPAGE
+        self.num_clips = kwargs.pop("num_clips", None)
+        self.num_speakers = kwargs.pop("num_speakers", None)
+        self.duration_secs = kwargs.pop("duration", None)
+        description = (
+            f"AfriSpeech dataset in {accent} accent(s) with {self.num_clips} clips "
+            f"{self.num_speakers} speakers and {self.duration_secs} seconds"  
+        )
         super(AfriSpeechConfig, self).__init__(
             name=self.name,
             version=datasets.Version("1.0.0", ""),
-            description=self.description,
+            description=description,
+            **kwargs,
         )
-        self.name = name
-        self.description = description
-        self.homepage = homepage
-        self.data_url = data_url
 
 
-def _build_config(name):
+def _build_config(accent):
     return AfriSpeechConfig(
-        name=name,
-        description=_DESCRIPTION,
-        homepage=_HOMEPAGE,
-        data_url=_AUDIO_URL,
+        accent=accent,
+        num_clips=ACCENT_STATS[accent]["num_clips"] if ACCENT_STATS[accent]["num_clips"] else None,
+        num_speakers=ACCENT_STATS[accent]["num_speakers"] if ACCENT_STATS[accent]["num_speakers"] else None,
+        duration=round(ACCENT_STATS[accent]["duration"], 2) if ACCENT_STATS[accent]["duration"] else None,
     )
 
 class AfriSpeech(datasets.GeneratorBasedBuilder):
     DEFAULT_WRITER_BATCH_SIZE = 1000
     VERSION = datasets.Version("1.0.0")
-    BUILDER_CONFIGS = [_build_config(name) for name in _ALL_CONFIGS + ["all"]]
+    BUILDER_CONFIGS = [_build_config(name) for name in ACCENT_STATS.keys() + ["all"]]
 
     def _info(self):
         description = _DESCRIPTION
@@ -145,24 +174,29 @@ class AfriSpeech(datasets.GeneratorBasedBuilder):
         # By default the archives will be extracted and a path to a cached folder
         # where they are extracted is returned instead of the archive
         
-        langs = (
-            _ALL_CONFIGS
-            if self.config.name == "all"
-            else [self.config.name]
-        )
-        
+        accent = self.config.name
         n_shards = _SHARDS
 
         audio_urls = {}
         splits = ("train", "dev")  # , "test"
         for split in splits:
-            audio_urls[split] = [
-                _AUDIO_URL.format(split=split, shard_idx=i) for i in range(n_shards[split])
-            ]
+            if accent == 'all':
+                audio_urls[split] = [
+                    _AUDIO_URL_ALL.format(split=split, shard_idx=i) for i in range(_SHARDS[split])
+                ]
+            else:
+                audio_urls[split] = [
+                    _AUDIO_URL.format(accent=accent, split=split, 
+                                      shard_idx=i) for i in range(ACCENT_STATS[accent][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 {}
 
-        meta_urls = {split: _TRANSCRIPT_URL.format(split=split) for split in splits}
+        if accent == 'all':
+            meta_urls = {split: _TRANSCRIPT_URL_ALL.format(split=split) for split in splits}
+        else:
+            meta_urls = {split: _TRANSCRIPT_URL.format(accent=accent, split=split) for split in splits}
+        
         meta_paths = dl_manager.download_and_extract(meta_urls)
 
         split_generators = []
@@ -190,13 +224,13 @@ class AfriSpeech(datasets.GeneratorBasedBuilder):
         # 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..."):
-                if (row['accent'] == self.config.name) or (self.config.name == 'all'):
+                accent = ACCENT_MAPPER_REVERSED.get(self.config.name, self.config.name)
+                if (row['accent'] == accent) or (accent == 'all'):
                     row["speaker_id"] = row["user_ids"]
                     audio_id = "/".join(row["audio_paths"].split("/")[-2:])
                     # if data is incomplete, fill with empty values

audio/afemai/test/test_afemai_0.tar.gz

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audio/agatu/test/test_agatu_0.tar.gz

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