README.md CHANGED
@@ -1,28 +1,59 @@
1
  ---
2
  annotations_creators:
3
  - expert-generated
4
- language:
5
- - es
6
  language_creators:
7
  - other
 
 
8
  license:
9
  - cc-by-sa-4.0
10
  multilinguality:
11
  - monolingual
12
- pretty_name: 'CIEMPIESS FEM CORPUS: Audio and Transcripts of Female Speakers in Spanish.'
13
  size_categories:
14
  - 10K<n<100K
15
  source_datasets:
16
  - original
 
 
 
 
17
  tags:
18
  - ciempiess
19
  - spanish
20
  - mexican spanish
21
  - ciempiess project
22
  - ciempiess-unam project
23
- task_categories:
24
- - automatic-speech-recognition
25
- task_ids: []
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
26
  ---
27
 
28
  # Dataset Card for ciempiess_fem
 
1
  ---
2
  annotations_creators:
3
  - expert-generated
 
 
4
  language_creators:
5
  - other
6
+ language:
7
+ - es
8
  license:
9
  - cc-by-sa-4.0
10
  multilinguality:
11
  - monolingual
 
12
  size_categories:
13
  - 10K<n<100K
14
  source_datasets:
15
  - original
16
+ task_categories:
17
+ - automatic-speech-recognition
18
+ task_ids: []
19
+ pretty_name: 'CIEMPIESS FEM CORPUS: Audio and Transcripts of Female Speakers in Spanish.'
20
  tags:
21
  - ciempiess
22
  - spanish
23
  - mexican spanish
24
  - ciempiess project
25
  - ciempiess-unam project
26
+ dataset_info:
27
+ config_name: ciempiess_fem
28
+ features:
29
+ - name: audio_id
30
+ dtype: string
31
+ - name: audio
32
+ dtype:
33
+ audio:
34
+ sampling_rate: 16000
35
+ - name: speaker_id
36
+ dtype: string
37
+ - name: gender
38
+ dtype: string
39
+ - name: duration
40
+ dtype: float32
41
+ - name: country
42
+ dtype: string
43
+ - name: normalized_text
44
+ dtype: string
45
+ splits:
46
+ - name: train
47
+ num_bytes: 781435185.285
48
+ num_examples: 6505
49
+ download_size: 958145084
50
+ dataset_size: 781435185.285
51
+ configs:
52
+ - config_name: ciempiess_fem
53
+ data_files:
54
+ - split: train
55
+ path: ciempiess_fem/train-*
56
+ default: true
57
  ---
58
 
59
  # Dataset Card for ciempiess_fem
ciempiess_fem.py DELETED
@@ -1,124 +0,0 @@
1
- from collections import defaultdict
2
- import os
3
- import json
4
- import csv
5
-
6
- import datasets
7
-
8
- _NAME="ciempiess_fem"
9
- _VERSION="1.0.0"
10
- _AUDIO_EXTENSIONS=".flac"
11
-
12
- _DESCRIPTION = """
13
- The CIEMPIESS FEM Corpus was created by recordings and human transcripts of 21 different women. 16 of these women are mexican. The other ones come from Latin American countries.
14
- """
15
-
16
- _CITATION = """
17
- @misc{carlosmenaciempiessfem2019,
18
- title={CIEMPIESS FEM CORPUS: Audio and Transcripts of Female Speakers in Spanish.},
19
- ldc_catalog_no={LDC2019S07},
20
- DOI={https://doi.org/10.35111/xdx5-n815},
21
- author={Hernandez Mena, Carlos Daniel},
22
- journal={Linguistic Data Consortium, Philadelphia},
23
- year={2019},
24
- url={https://catalog.ldc.upenn.edu/LDC2019S07},
25
- }
26
- """
27
-
28
- _HOMEPAGE = "https://catalog.ldc.upenn.edu/LDC2019S07"
29
-
30
- _LICENSE = "CC-BY-SA-4.0, See https://creativecommons.org/licenses/by-sa/4.0/"
31
-
32
- _BASE_DATA_DIR = "corpus/"
33
- _METADATA_TRAIN = os.path.join(_BASE_DATA_DIR,"files", "metadata_train.tsv")
34
-
35
- _TARS_TRAIN = os.path.join(_BASE_DATA_DIR,"files", "tars_train.paths")
36
-
37
- class CiempiessFemConfig(datasets.BuilderConfig):
38
- """BuilderConfig for CIEMPIESS FEM Corpus"""
39
-
40
- def __init__(self, name, **kwargs):
41
- name=_NAME
42
- super().__init__(name=name, **kwargs)
43
-
44
- class CiempiessFem(datasets.GeneratorBasedBuilder):
45
- """CIEMPIESS Fem Corpus"""
46
-
47
- VERSION = datasets.Version(_VERSION)
48
- BUILDER_CONFIGS = [
49
- CiempiessFemConfig(
50
- name=_NAME,
51
- version=datasets.Version(_VERSION),
52
- )
53
- ]
54
-
55
- def _info(self):
56
- features = datasets.Features(
57
- {
58
- "audio_id": datasets.Value("string"),
59
- "audio": datasets.Audio(sampling_rate=16000),
60
- "speaker_id": datasets.Value("string"),
61
- "gender": datasets.Value("string"),
62
- "duration": datasets.Value("float32"),
63
- "country": datasets.Value("string"),
64
- "normalized_text": datasets.Value("string"),
65
- }
66
- )
67
- return datasets.DatasetInfo(
68
- description=_DESCRIPTION,
69
- features=features,
70
- homepage=_HOMEPAGE,
71
- license=_LICENSE,
72
- citation=_CITATION,
73
- )
74
-
75
- def _split_generators(self, dl_manager):
76
-
77
- metadata_train=dl_manager.download_and_extract(_METADATA_TRAIN)
78
-
79
- tars_train=dl_manager.download_and_extract(_TARS_TRAIN)
80
-
81
- hash_tar_files=defaultdict(dict)
82
-
83
- with open(tars_train,'r') as f:
84
- hash_tar_files['train']=[path.replace('\n','') for path in f]
85
-
86
- hash_meta_paths={"train":metadata_train}
87
- audio_paths = dl_manager.download(hash_tar_files)
88
-
89
- splits=["train"]
90
- local_extracted_audio_paths = (
91
- dl_manager.extract(audio_paths) if not dl_manager.is_streaming else
92
- {
93
- split:[None] * len(audio_paths[split]) for split in splits
94
- }
95
- )
96
-
97
- return [
98
- datasets.SplitGenerator(
99
- name=datasets.Split.TRAIN,
100
- gen_kwargs={
101
- "audio_archives": [dl_manager.iter_archive(archive) for archive in audio_paths["train"]],
102
- "local_extracted_archives_paths": local_extracted_audio_paths["train"],
103
- "metadata_paths": hash_meta_paths["train"],
104
- }
105
- ),
106
- ]
107
-
108
- def _generate_examples(self, audio_archives, local_extracted_archives_paths, metadata_paths):
109
-
110
- features = ["speaker_id","gender","duration","country","normalized_text"]
111
-
112
- with open(metadata_paths) as f:
113
- metadata = {x["audio_id"]: x for x in csv.DictReader(f, delimiter="\t")}
114
-
115
- for audio_archive, local_extracted_archive_path in zip(audio_archives, local_extracted_archives_paths):
116
- for audio_filename, audio_file in audio_archive:
117
- audio_id = audio_filename.split(os.sep)[-1].split(_AUDIO_EXTENSIONS)[0]
118
- path = os.path.join(local_extracted_archive_path, audio_filename) if local_extracted_archive_path else audio_filename
119
-
120
- yield audio_id, {
121
- "audio_id": audio_id,
122
- **{feature: metadata[audio_id][feature] for feature in features},
123
- "audio": {"path": path, "bytes": audio_file.read()},
124
- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
corpus/speech/train.tar.gz → ciempiess_fem/train-00000-of-00002.parquet RENAMED
@@ -1,3 +1,3 @@
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- size 958382502
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:3c5583983650b4b9a4546d664bc2fdd5609fcb6b72cb254e16b1c9cc32925216
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+ size 464051187
ciempiess_fem/train-00001-of-00002.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:877411e4499c212c1364491430b0f6ead821dd69378615521338eb3de949cca0
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+ size 494093897
corpus/files/metadata_train.tsv DELETED
The diff for this file is too large to render. See raw diff
 
corpus/files/tars_train.paths DELETED
@@ -1 +0,0 @@
1
- corpus/speech/train.tar.gz