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archive folder changed to data

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  1. babelbox_voice.py +42 -13
  2. {archive β†’ data}/nst/metadata.tar.gz +0 -0
  3. {archive β†’ data}/nst/nst-data-001.tar.gz +1 -1
  4. {archive β†’ data}/nst/nst-data-002.tar.gz +1 -1
  5. {archive β†’ data}/nst/nst-data-003.tar.gz +1 -1
  6. {archive β†’ data}/nst/nst-data-004.tar.gz +1 -1
  7. {archive β†’ data}/nst/nst-data-005.tar.gz +1 -1
  8. {archive β†’ data}/nst/nst-data-006.tar.gz +1 -1
  9. {archive β†’ data}/nst/nst-data-007.tar.gz +1 -1
  10. {archive β†’ data}/nst/nst-data-008.tar.gz +1 -1
  11. {archive β†’ data}/nst/nst-data-009.tar.gz +1 -1
  12. {archive β†’ data}/nst/nst-data-010.tar.gz +1 -1
  13. {archive β†’ data}/nst/nst-data-011.tar.gz +1 -1
  14. {archive β†’ data}/nst/nst-data-012.tar.gz +1 -1
  15. {archive β†’ data}/nst/nst-data-013.tar.gz +1 -1
  16. {archive β†’ data}/nst/nst-data-014.tar.gz +1 -1
  17. {archive β†’ data}/nst/nst-data-015.tar.gz +1 -1
  18. {archive β†’ data}/nst/nst-data-016.tar.gz +1 -1
  19. {archive β†’ data}/nst/nst-data-017.tar.gz +1 -1
  20. {archive β†’ data}/nst/nst-data-018.tar.gz +1 -1
  21. {archive β†’ data}/nst/nst-data-019.tar.gz +1 -1
  22. {archive β†’ data}/nst/nst-data-020.tar.gz +1 -1
  23. {archive β†’ data}/nst/nst-data-021.tar.gz +1 -1
  24. {archive β†’ data}/nst/nst-data-022.tar.gz +1 -1
  25. {archive β†’ data}/nst/nst-data-023.tar.gz +1 -1
  26. {archive β†’ data}/nst/nst-data-024.tar.gz +1 -1
  27. {archive β†’ data}/nst/nst-data-025.tar.gz +1 -1
  28. {archive β†’ data}/nst/nst-data-026.tar.gz +1 -1
  29. {archive β†’ data}/nst/nst-data-027.tar.gz +1 -1
  30. {archive β†’ data}/nst/nst-data-028.tar.gz +1 -1
  31. {archive β†’ data}/nst/nst-data-029.tar.gz +1 -1
  32. {archive β†’ data}/nst/nst-data-030.tar.gz +1 -1
  33. data/nst/nst-data-031.tar.gz +3 -0
  34. data/nst/nst-data-032.tar.gz +3 -0
  35. data/nst/nst-data-033.tar.gz +3 -0
  36. data/nst/nst-data-034.tar.gz +3 -0
  37. data/nst/nst-data-035.tar.gz +3 -0
  38. data/nst/nst-data-036.tar.gz +3 -0
  39. data/nst/nst-data-037.tar.gz +3 -0
  40. data/nst/nst-data-038.tar.gz +3 -0
  41. data/nst/nst-data-039.tar.gz +3 -0
  42. data/nst/nst-data-040.tar.gz +3 -0
  43. data/nst/nst-data-041.tar.gz +3 -0
  44. data/nst/nst-data-042.tar.gz +3 -0
babelbox_voice.py CHANGED
@@ -23,6 +23,8 @@ _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
 
 
 
26
  class BabelboxVoiceConfig(datasets.BuilderConfig):
27
  """BuilderConfig for BabelboxVoice."""
28
 
@@ -31,8 +33,9 @@ class BabelboxVoiceConfig(datasets.BuilderConfig):
31
  self.version = version
32
  self.features = kwargs.pop("features", None)
33
  self.description = kwargs.pop("description", None)
34
- self.archive_url = kwargs.pop("archive_url", None)
35
- self.meta_url = kwargs.pop("meta_url", None)
 
36
 
37
  description = (
38
  f"Babelbox Voice speech to text dataset."
@@ -52,10 +55,20 @@ class BabelboxVoice(datasets.GeneratorBasedBuilder):
52
  BabelboxVoiceConfig(
53
  name="nst",
54
  version=VERSION,
55
- description="This part of Pandora Voice includes data from National Library of Norway",
 
 
 
 
 
 
 
 
 
56
  features=["path", "audio", "sentence"],
57
- archive_url="/home/jovyan/shared-data/data/nst/archive",
58
- meta_url="/home/jovyan/shared-data/data/nst/NST_se.csv"
 
59
  )
60
  ]
61
 
@@ -73,6 +86,14 @@ class BabelboxVoice(datasets.GeneratorBasedBuilder):
73
  "sentence": datasets.Value("string")
74
  }
75
  )
 
 
 
 
 
 
 
 
76
 
77
  return datasets.DatasetInfo(
78
  description=description,
@@ -80,15 +101,11 @@ class BabelboxVoice(datasets.GeneratorBasedBuilder):
80
  supervised_keys=None,
81
  version=self.config.version
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(1,31) ]
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 {}
90
-
91
- metadata_path = dl_manager.download(_METADATA_URL)
92
  local_extracted_metadata_path = dl_manager.extract(metadata_path) if not dl_manager.is_streaming else None
93
 
94
  metadata_archive = dl_manager.iter_archive(metadata_path)
@@ -99,6 +116,18 @@ class BabelboxVoice(datasets.GeneratorBasedBuilder):
99
  filename = row['filename_channel_1']
100
  sentence = row['text']
101
  metadata[filename] = sentence
 
 
 
 
 
 
 
 
 
 
 
 
102
 
103
  return [
104
  datasets.SplitGenerator(name=datasets.Split.TRAIN,
 
23
 
24
  _METADATA_URL = "https://huggingface.co/datasets/babelbox/babelbox_voice/resolve/main/archive/nst/metadata.tar.gz"
25
 
26
+ _HF_REPO_PATH = "https://huggingface.co/datasets/babelbox/babelbox_voice/"
27
+
28
  class BabelboxVoiceConfig(datasets.BuilderConfig):
29
  """BuilderConfig for BabelboxVoice."""
30
 
 
33
  self.version = version
34
  self.features = kwargs.pop("features", None)
35
  self.description = kwargs.pop("description", None)
36
+ self.data_url = kwargs.pop("data_url", None)
37
+ self.nb_data_shards = kwargs.pop("nb_data_shards", None)
38
+ self.metadata_url = kwargs.pop("metadata_url", None)
39
 
40
  description = (
41
  f"Babelbox Voice speech to text dataset."
 
55
  BabelboxVoiceConfig(
56
  name="nst",
57
  version=VERSION,
58
+ description="This part of Babel Voice includes data from National Library of Norway",
59
+ features=["path", "audio", "sentence"],
60
+ data_url= _HF_REPO_PATH + "resolve/main/archive/nst/nst-data-{:0>3d}.tar.gz",
61
+ nb_data_shards = 30,
62
+ metadata_url= _HF_REPO_PATH + "resolve/main/archive/nst/metadata.tar.gz"
63
+ ),
64
+ BabelboxVoiceConfig(
65
+ name="audiosubs",
66
+ version=VERSION,
67
+ description="This part of Babel Voice includes data from audio with subtitles",
68
  features=["path", "audio", "sentence"],
69
+ data_url= _HF_REPO_PATH + "resolve/main/archive/audiosubs/audiosubs-data-{:0>3d}.tar.gz",
70
+ nb_data_shards = 2,
71
+ metadata_url= None
72
  )
73
  ]
74
 
 
86
  "sentence": datasets.Value("string")
87
  }
88
  )
89
+ else:
90
+ features = datasets.Features(
91
+ {
92
+ "path": datasets.Value("string"),
93
+ "audio": datasets.features.Audio(sampling_rate=16_000),
94
+ "sentence": datasets.Value("string")
95
+ }
96
+ )
97
 
98
  return datasets.DatasetInfo(
99
  description=description,
 
101
  supervised_keys=None,
102
  version=self.config.version
103
  )
104
+
105
+ def get_metadata(self, dl_manager, metadata_url):
106
+ if metadata_url == None: return None
107
 
108
+ metadata_path = dl_manager.download(metadata_url)
 
 
 
 
 
109
  local_extracted_metadata_path = dl_manager.extract(metadata_path) if not dl_manager.is_streaming else None
110
 
111
  metadata_archive = dl_manager.iter_archive(metadata_path)
 
116
  filename = row['filename_channel_1']
117
  sentence = row['text']
118
  metadata[filename] = sentence
119
+
120
+ return metadata
121
+
122
+
123
+ def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
124
+
125
+ download_urls = [self.config.data_url.format(i) for i in range(1, self.config.nb_data_shards + 1) ]
126
+
127
+ archive_paths = dl_manager.download(download_urls)
128
+ local_extracted_archive_paths = dl_manager.extract(archive_paths) if not dl_manager.is_streaming else {}
129
+
130
+ metadata = self.get_metadata(dl_manager, self.config.metadata_url)
131
 
132
  return [
133
  datasets.SplitGenerator(name=datasets.Split.TRAIN,
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