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Datasets:
babelbox
/
babelbox_voice

Tasks:
Automatic Speech Recognition
Languages:
Swedish
Size:
100K<n<1M
Tags:
NST
License:
Dataset card Files Community
bjelkenhed commited on
Commit
99f3be3
·
1 Parent(s): 247835b

added 200000 examples

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Files changed (31) hide show
  1. archive/nst/nst-data-001.tar.gz +1 -1
  2. archive/nst/nst-data-002.tar.gz +1 -1
  3. archive/nst/nst-data-003.tar.gz +3 -0
  4. archive/nst/nst-data-004.tar.gz +3 -0
  5. archive/nst/nst-data-005.tar.gz +3 -0
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  7. archive/nst/nst-data-007.tar.gz +3 -0
  8. archive/nst/nst-data-008.tar.gz +3 -0
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  10. archive/nst/nst-data-010.tar.gz +3 -0
  11. archive/nst/nst-data-011.tar.gz +3 -0
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  27. archive/nst/nst-data-027.tar.gz +3 -0
  28. archive/nst/nst-data-028.tar.gz +3 -0
  29. archive/nst/nst-data-029.tar.gz +3 -0
  30. archive/nst/nst-data-030.tar.gz +3 -0
  31. babelbox_voice.py +4 -4
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babelbox_voice.py CHANGED
@@ -18,10 +18,8 @@ _CITATION = """\
18
  }
19
  """
20
 
21
- _DL_URLS = [
22
- "https://huggingface.co/datasets/babelbox/babelbox_voice/resolve/main/archive/nst/nst-data-001.tar.gz",
23
- "https://huggingface.co/datasets/babelbox/babelbox_voice/resolve/main/archive/nst/nst-data-002.tar.gz"
24
- ]
25
 
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  _METADATA_URL = "https://huggingface.co/datasets/babelbox/babelbox_voice/resolve/main/archive/nst/metadata.tar.gz"
27
 
@@ -84,6 +82,8 @@ class BabelboxVoice(datasets.GeneratorBasedBuilder):
84
  )
85
 
86
  def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
 
 
87
 
88
  archive_paths = dl_manager.download(_DL_URLS)
89
  local_extracted_archive_paths = dl_manager.extract(archive_paths) if not dl_manager.is_streaming else {}
 
18
  }
19
  """
20
 
21
+ _DL_BASE_URL = "https://huggingface.co/datasets/babelbox/babelbox_voice/resolve/main/archive/nst"
22
+ _DL_URL_FORMAT = _DL_BASE_URL + "/nst-data-{:0>3d}.tar.gz"
 
 
23
 
24
  _METADATA_URL = "https://huggingface.co/datasets/babelbox/babelbox_voice/resolve/main/archive/nst/metadata.tar.gz"
25
 
 
82
  )
83
 
84
  def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
85
+
86
+ _DL_URLS = [_DL_URL_FORMAT.format(i) for i in range(30) ]
87
 
88
  archive_paths = dl_manager.download(_DL_URLS)
89
  local_extracted_archive_paths = dl_manager.extract(archive_paths) if not dl_manager.is_streaming else {}