Racoci commited on
Commit
439e5fc
1 Parent(s): 15a919f

Upload CORAA dataset on Hugging Face format

Browse files

Download dataset originally posted [here](https://github.com/nilc-nlp/CORAA/tree/main) and used
it to create a dataset on hugging face format

Files changed (1) hide show
  1. README.md +83 -2
README.md CHANGED
@@ -39,10 +39,10 @@ dataset_info:
39
  num_bytes: 63113404687.162
40
  num_examples: 382258
41
  - name: dev
42
- num_bytes: 1363924625.0
43
  num_examples: 7522
44
  - name: test
45
- num_bytes: 2594334946.0
46
  num_examples: 12676
47
  download_size: 66914186143
48
  dataset_size: 67071664258.162
@@ -55,4 +55,85 @@ configs:
55
  path: data/dev-*
56
  - split: test
57
  path: data/test-*
 
 
 
 
 
 
 
 
58
  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
39
  num_bytes: 63113404687.162
40
  num_examples: 382258
41
  - name: dev
42
+ num_bytes: 1363924625
43
  num_examples: 7522
44
  - name: test
45
+ num_bytes: 2594334946
46
  num_examples: 12676
47
  download_size: 66914186143
48
  dataset_size: 67071664258.162
 
55
  path: data/dev-*
56
  - split: test
57
  path: data/test-*
58
+ task_categories:
59
+ - automatic-speech-recognition
60
+ - text-to-speech
61
+ language:
62
+ - pt
63
+ pretty_name: coraa
64
+ size_categories:
65
+ - 1K<n<10K
66
  ---
67
+
68
+ # CORAA-v1.1
69
+
70
+ [CORAA-v1.1](https://github.com/nilc-nlp/CORAA) is a publicly available dataset for Automatic Speech Recognition (ASR) in the Brazilian Portuguese language containing 290.77 hours of audios and their respective transcriptions (400k+ segmented audios). The dataset is composed of audios of 5 original projects:
71
+
72
+ - ALIP (Gonçalves, 2019)
73
+ - C-ORAL Brazil (Raso and Mello, 2012)
74
+ - NURC-Recife (Oliviera Jr., 2016)
75
+ - SP-2010 (Mendes and Oushiro, 2012)
76
+ - TEDx talks (talks in Portuguese)
77
+
78
+ The audios were either validated by annotators or transcripted for the first time aiming at the ASR task.
79
+
80
+ ## LICENSE
81
+ [Attribution-NonCommercial-NoDerivatives 4.0 International](https://raw.githubusercontent.com/nilc-nlp/CORAA/main/LICENSE)
82
+
83
+
84
+ ## Metadata
85
+
86
+ - file_path: the path to an audio file
87
+ - task: transcription (annotators revised original transcriptions); annotation (annotators classified the audio-transcription pair according to votes_for_* metrics); annotation_and_transcription (both tasks were performed)
88
+ - variety: European Portuguese (PT_PT) or Brazilian Portuguese (PT_BR)
89
+ - dataset: one of five datasets (ALIP, C-oral Brasil, NURC-RE, SP2010, TEDx Portuguese)
90
+ - accent: one of four accents (Minas Gerais, Recife, Sao Paulo cities, Sao Paulo capital) or the value "miscellaneous"
91
+ - speech_genre: Interviews, Dialogues, Monologues, Conversations, Interviews, Conference, Class Talks, Stage Talks or Reading
92
+ - speech_style: Spontaneous Speech or Prepared Speech or Read Speech
93
+ - up_votes: for annotation, the number of votes to valid the audio (most audios were revewed by one annotor, but some of the audios were analyzed by more than one).
94
+ - down_votes: for annotation, the number of votes do invalid the audio (always smaller than up_votes)
95
+ - votes_for_hesitation: for annotation, votes categorizing the audio as having the hesitation phenomenon
96
+ - votes_for_filled_pause: for annotation, votes categorizing the audio as having the filled pause phenomenon
97
+ - votes_for_noise_or_low_voice: for annotation, votes categorizing the audio as either having noise or low voice, without impairing the audio compression.
98
+ - votes_for_second_voice: for annotation, votes categorizing the audio as having a second voice, without impairing the audio compression
99
+ - votes_for_no_identified_problem: without impairing the audio as having no identified phenomenon (of the four described above)
100
+ - text: the transcription for the audio
101
+
102
+ ## Experiments:
103
+
104
+ - [Checkpoints ](https://drive.google.com/drive/folders/10JkbCzYypZtCz1nHY5rBoBM1r66P3p3j?usp=sharing)
105
+ - [Code](https://github.com/Edresson/Wav2Vec-Wrapper)
106
+
107
+ Model trained in this corpus: Wav2Vec 2.0 XLSR-53 (multilingual pretraining)
108
+
109
+ ## Citation
110
+
111
+ - [Preprint](https://arxiv.org/abs/2110.15731):
112
+ ```
113
+ @misc{c2021coraa,
114
+ title={CORAA: a large corpus of spontaneous and prepared speech manually validated for speech recognition in Brazilian Portuguese},
115
+ author={Arnaldo Candido Junior and Edresson Casanova and Anderson Soares and Frederico Santos de Oliveira and Lucas Oliveira and Ricardo Corso Fernandes Junior and Daniel Peixoto Pinto da Silva and Fernando Gorgulho Fayet and Bruno Baldissera Carlotto and Lucas Rafael Stefanel Gris and Sandra Maria Aluísio},
116
+ year={2021},
117
+ eprint={2110.15731},
118
+ archivePrefix={arXiv},
119
+ primaryClass={cs.CL}
120
+ }
121
+ ```
122
+
123
+ - Full Paper: coming soon
124
+ - Oficial site: [Tarsila Project](https://sites.google.com/view/tarsila-c4ai/)
125
+
126
+ ## Partners / Sponsors / Funding
127
+
128
+ - [C4AI](https://c4ai.inova.usp.br/pt/home-2/)
129
+ - [CEIA](https://centrodeia.org/)
130
+ - [UFG](https://www.ufg.br/)
131
+ - [USP](https://www5.usp.br/)
132
+ - [UTFPR](http://www.utfpr.edu.br/)
133
+
134
+ ## References
135
+
136
+ - Gonçalves SCL (2019) Projeto ALIP (amostra linguística do interior paulista) e banco de dados iboruna: 10 anos de contribuição com a descrição do Português Brasileiro. Revista Estudos Linguísticos 48(1):276–297.
137
+ - Raso T, Mello H, Mittmann MM (2012) The C-ORAL-BRASIL I: Reference corpus for spoken Brazilian Portuguese. In: Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC’12), European Language Resources Association (ELRA), Istanbul, Turkey, pp 106–113, URL http://www.lrec-conf.org/proceedings/lrec2012/pdf/624_Paper.pdf
138
+ - Oliviera Jr M (2016) Nurc digital um protocolo para a digitalização, anotação, arquivamento e disseminação do material do projeto da norma urbana linguística culta (NURC). CHIMERA: Revista de Corpus de Lenguas Romances y Estudios Linguísticos 3(2):149–174, URL https://revistas.uam.es/chimera/article/view/6519
139
+ - Mendes RB, Oushiro L (2012) Mapping Paulistano Portuguese: the SP2010 Project. In: Proceedings of the VIIth GSCP International Conference: Speech and Corpora, Fizenze University Press, Firenze, Italy, pp 459–463.