versae commited on
Commit
2c1585e
1 Parent(s): ddb68e8

Adding bokmaal and nynorsk configs

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Files changed (1) hide show
  1. NPSC.py +33 -2
NPSC.py CHANGED
@@ -82,10 +82,30 @@ class Npsc(datasets.GeneratorBasedBuilder):
82
  version=datasets.Version("1.0.0"),
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  description="NPSC with samples in 16KHz mono mp3)",
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  ),
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ]
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  def _info(self):
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- sampling_rate = 16_000 if self.config.name == "16K_mp3" else 48_000
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  return datasets.DatasetInfo(
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  description=_DESCRIPTION,
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  features=datasets.Features(
@@ -121,6 +141,8 @@ class Npsc(datasets.GeneratorBasedBuilder):
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  """Returns SplitGenerators."""
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  data_urls = {}
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  config_name = self.config.name
 
 
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  for split in ["train", "eval", "test"]:
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  data_urls[split] = []
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  for shard in _SHARDS[split]:
@@ -154,6 +176,11 @@ class Npsc(datasets.GeneratorBasedBuilder):
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  """Yields examples."""
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  data_fields = list(self._info().features.keys())
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  data_fields.remove("audio")
 
 
 
 
 
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  for metadata_path, archive_path in filepaths:
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  metadata = {}
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  with open(metadata_path) as metadata_file:
@@ -172,4 +199,8 @@ class Npsc(datasets.GeneratorBasedBuilder):
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  audio_bytes = tar.extractfile(audio_file).read()
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  audio_dict = {"bytes": audio_bytes, "path": audio_file.name}
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  fields = {key: metadata[metadata_key][key] for key in data_fields}
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- yield metadata_key, {"audio": audio_dict, **fields}
 
 
 
 
 
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  version=datasets.Version("1.0.0"),
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  description="NPSC with samples in 16KHz mono mp3)",
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  ),
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+ NpscConfig(
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+ name="48K_mp3_bokmaal",
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+ version=datasets.Version("1.0.0"),
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+ description="NPSC with Bokmål samples in 48KHz stereo mp3)",
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+ ),
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+ NpscConfig(
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+ name="16K_mp3_bokmaal",
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+ version=datasets.Version("1.0.0"),
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+ description="NPSC with Bokmål samples in 16KHz mono mp3)",
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+ ),
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+ NpscConfig(
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+ name="48K_mp3_nynorsk",
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+ version=datasets.Version("1.0.0"),
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+ description="NPSC with Nynorsk samples in 48KHz stereo mp3)",
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+ ),
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+ NpscConfig(
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+ name="16K_mp3_nynorsk",
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+ version=datasets.Version("1.0.0"),
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+ description="NPSC with Nynorsk samples in 16KHz mono mp3)",
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+ ),
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  ]
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  def _info(self):
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+ sampling_rate = 16_000 if self.config.name.startswith("16K") else 48_000
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  return datasets.DatasetInfo(
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  description=_DESCRIPTION,
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  features=datasets.Features(
 
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  """Returns SplitGenerators."""
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  data_urls = {}
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  config_name = self.config.name
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+ if config_name.endswith("bokmaal") or config_name.endswith("nynorsk"):
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+ config_name, *_ = config_name.rsplit("_", 1)
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  for split in ["train", "eval", "test"]:
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  data_urls[split] = []
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  for shard in _SHARDS[split]:
 
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  """Yields examples."""
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  data_fields = list(self._info().features.keys())
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  data_fields.remove("audio")
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+ lang_code = None
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+ if self.config.name.endswith("bokmaal"):
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+ lang_code = "nb-no"
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+ elif self.config.name.endswith("nynorsk"):
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+ lang_code = "nn-no"
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  for metadata_path, archive_path in filepaths:
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  metadata = {}
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  with open(metadata_path) as metadata_file:
 
199
  audio_bytes = tar.extractfile(audio_file).read()
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  audio_dict = {"bytes": audio_bytes, "path": audio_file.name}
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  fields = {key: metadata[metadata_key][key] for key in data_fields}
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+ if lang_code:
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+ if lang_code == fields.get("sentence_language_code", "").lower():
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+ yield metadata_key, {"audio": audio_dict, **fields}
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+ else:
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+ yield metadata_key, {"audio": audio_dict, **fields}