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- Update README.md (c97fcae999ab0450584935ac9caa65917c75b55e)


Co-authored-by: Loïck BOURDOIS <lbourdois@users.noreply.huggingface.co>

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  1. README.md +164 -163
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1
- ---
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- annotations_creators:
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- - expert-generated
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- language_creators:
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- - crowdsourced
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- languages:
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- - en-US
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- licenses:
9
- - other-free-for-noncommercial-uses
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- multilinguality:
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- - monolingual
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- pretty_name: Buckeye Corpus
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- size_categories:
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- - unknown
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- source_datasets:
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- - original
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- task_categories:
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- - automatic-speech-recognition
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- task_ids:
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- - speech-recognition
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- ---
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-
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- # Dataset Card for the Buckeye Corpus (buckeye_asr)
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-
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- ## Table of Contents
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- - [Dataset Description](#dataset-description)
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- - [Dataset Summary](#dataset-summary)
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- - [Supported Tasks](#supported-tasks-and-leaderboards)
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- - [Languages](#languages)
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- - [Dataset Structure](#dataset-structure)
31
- - [Data Instances](#data-instances)
32
- - [Data Fields](#data-instances)
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- - [Data Splits](#data-instances)
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- - [Dataset Creation](#dataset-creation)
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- - [Curation Rationale](#curation-rationale)
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- - [Source Data](#source-data)
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- - [Annotations](#annotations)
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- - [Personal and Sensitive Information](#personal-and-sensitive-information)
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- - [Considerations for Using the Data](#considerations-for-using-the-data)
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- - [Social Impact of Dataset](#social-impact-of-dataset)
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- - [Discussion of Biases](#discussion-of-biases)
42
- - [Other Known Limitations](#other-known-limitations)
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- - [Additional Information](#additional-information)
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- - [Dataset Curators](#dataset-curators)
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- - [Licensing Information](#licensing-information)
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- - [Citation Information](#citation-information)
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-
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- ## Dataset Description
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-
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- - **Homepage:** https://buckeyecorpus.osu.edu/
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- - **Repository:** [Needs More Information]
52
- - **Paper:** [Needs More Information]
53
- - **Leaderboard:** [Needs More Information]
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- - **Point of Contact:** [Needs More Information]
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-
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- ### Dataset Summary
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-
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- The Buckeye Corpus of conversational speech contains high-quality recordings from 40 speakers in Columbus OH conversing freely with an interviewer. The speech has been orthographically transcribed and phonetically labeled.
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-
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- ### Supported Tasks and Leaderboards
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-
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- [Needs More Information]
63
-
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- ### Languages
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-
66
- American English (en-US)
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-
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- ## Dataset Structure
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-
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- ### Data Instances
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-
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- [Needs More Information]
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-
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- ### Data Fields
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-
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- - `file`: filename of the audio file containing the utterance.
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- - `audio`: filename of the audio file containing the utterance.
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- - `text`: transcription of the utterance.
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- - `phonetic_detail`: list of phonetic annotations for the utterance (start, stop and label of each phone).
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- - `word_detail`: list of word annotations for the utterance (start, stop, label, broad and narrow transcriptions, syntactic class).
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- - `speaker_id`: string identifying the speaker.
82
- - `id`: string identifying the utterance.
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-
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- ### Data Splits
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-
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- The data is split in training, validation and test sets with different speakers (32, 4, and 4 speakers respectively) in each set. The sets are all balanced for speaker's gender and age.
87
-
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- ## Dataset Creation
89
-
90
- ### Curation Rationale
91
-
92
- [Needs More Information]
93
-
94
- ### Source Data
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-
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- #### Initial Data Collection and Normalization
97
-
98
- [Needs More Information]
99
-
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- #### Who are the source language producers?
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-
102
- [Needs More Information]
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-
104
- ### Annotations
105
-
106
- #### Annotation process
107
-
108
- [Needs More Information]
109
-
110
- #### Who are the annotators?
111
-
112
- [Needs More Information]
113
-
114
- ### Personal and Sensitive Information
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-
116
- [Needs More Information]
117
-
118
- ## Considerations for Using the Data
119
-
120
- ### Social Impact of Dataset
121
-
122
- [Needs More Information]
123
-
124
- ### Discussion of Biases
125
-
126
- [Needs More Information]
127
-
128
- ### Other Known Limitations
129
-
130
- [Needs More Information]
131
-
132
- ## Additional Information
133
-
134
- ### Dataset Curators
135
-
136
- [Needs More Information]
137
-
138
- ### Licensing Information
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-
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- FREE for noncommercial uses.
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-
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- ### Citation Information
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-
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- ```
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- @misc{pitt2007Buckeye,
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- title = {Buckeye {Corpus} of {Conversational} {Speech} (2nd release).},
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- url = {www.buckeyecorpus.osu.edu},
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- publisher = {Columbus, OH: Department of Psychology, Ohio State University (Distributor)},
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- author = {Pitt, M.A. and Dilley, L. and Johnson, K. and Kiesling, S. and Raymond, W. and Hume, E. and Fosler-Lussier, E.},
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- year = {2007},
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- }
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- ```
153
-
154
- ### Usage
155
-
156
- The first step is to download a copy of the dataset from [the official website](https://buckeyecorpus.osu.edu). Once done, the dataset can be loaded directly through the `datasets` library by running:
157
-
158
- ```
159
- from datasets import load_dataset
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-
161
- dataset = load_dataset("bhigy/buckeye_asr", data_dir=<path_to_the_dataset>)
162
- ```
163
-
 
164
  where `<path_to_the_dataset>` points to the folder where the dataset is stored. An example of path to one of the audio files is then `<path_to_the_dataset>/s01/s0101a.wav`.
 
1
+ ---
2
+ annotations_creators:
3
+ - expert-generated
4
+ language_creators:
5
+ - crowdsourced
6
+ languages:
7
+ - en-US
8
+ - en
9
+ licenses:
10
+ - other-free-for-noncommercial-uses
11
+ multilinguality:
12
+ - monolingual
13
+ pretty_name: Buckeye Corpus
14
+ size_categories:
15
+ - unknown
16
+ source_datasets:
17
+ - original
18
+ task_categories:
19
+ - automatic-speech-recognition
20
+ task_ids:
21
+ - speech-recognition
22
+ ---
23
+
24
+ # Dataset Card for the Buckeye Corpus (buckeye_asr)
25
+
26
+ ## Table of Contents
27
+ - [Dataset Description](#dataset-description)
28
+ - [Dataset Summary](#dataset-summary)
29
+ - [Supported Tasks](#supported-tasks-and-leaderboards)
30
+ - [Languages](#languages)
31
+ - [Dataset Structure](#dataset-structure)
32
+ - [Data Instances](#data-instances)
33
+ - [Data Fields](#data-instances)
34
+ - [Data Splits](#data-instances)
35
+ - [Dataset Creation](#dataset-creation)
36
+ - [Curation Rationale](#curation-rationale)
37
+ - [Source Data](#source-data)
38
+ - [Annotations](#annotations)
39
+ - [Personal and Sensitive Information](#personal-and-sensitive-information)
40
+ - [Considerations for Using the Data](#considerations-for-using-the-data)
41
+ - [Social Impact of Dataset](#social-impact-of-dataset)
42
+ - [Discussion of Biases](#discussion-of-biases)
43
+ - [Other Known Limitations](#other-known-limitations)
44
+ - [Additional Information](#additional-information)
45
+ - [Dataset Curators](#dataset-curators)
46
+ - [Licensing Information](#licensing-information)
47
+ - [Citation Information](#citation-information)
48
+
49
+ ## Dataset Description
50
+
51
+ - **Homepage:** https://buckeyecorpus.osu.edu/
52
+ - **Repository:** [Needs More Information]
53
+ - **Paper:** [Needs More Information]
54
+ - **Leaderboard:** [Needs More Information]
55
+ - **Point of Contact:** [Needs More Information]
56
+
57
+ ### Dataset Summary
58
+
59
+ The Buckeye Corpus of conversational speech contains high-quality recordings from 40 speakers in Columbus OH conversing freely with an interviewer. The speech has been orthographically transcribed and phonetically labeled.
60
+
61
+ ### Supported Tasks and Leaderboards
62
+
63
+ [Needs More Information]
64
+
65
+ ### Languages
66
+
67
+ American English (en-US)
68
+
69
+ ## Dataset Structure
70
+
71
+ ### Data Instances
72
+
73
+ [Needs More Information]
74
+
75
+ ### Data Fields
76
+
77
+ - `file`: filename of the audio file containing the utterance.
78
+ - `audio`: filename of the audio file containing the utterance.
79
+ - `text`: transcription of the utterance.
80
+ - `phonetic_detail`: list of phonetic annotations for the utterance (start, stop and label of each phone).
81
+ - `word_detail`: list of word annotations for the utterance (start, stop, label, broad and narrow transcriptions, syntactic class).
82
+ - `speaker_id`: string identifying the speaker.
83
+ - `id`: string identifying the utterance.
84
+
85
+ ### Data Splits
86
+
87
+ The data is split in training, validation and test sets with different speakers (32, 4, and 4 speakers respectively) in each set. The sets are all balanced for speaker's gender and age.
88
+
89
+ ## Dataset Creation
90
+
91
+ ### Curation Rationale
92
+
93
+ [Needs More Information]
94
+
95
+ ### Source Data
96
+
97
+ #### Initial Data Collection and Normalization
98
+
99
+ [Needs More Information]
100
+
101
+ #### Who are the source language producers?
102
+
103
+ [Needs More Information]
104
+
105
+ ### Annotations
106
+
107
+ #### Annotation process
108
+
109
+ [Needs More Information]
110
+
111
+ #### Who are the annotators?
112
+
113
+ [Needs More Information]
114
+
115
+ ### Personal and Sensitive Information
116
+
117
+ [Needs More Information]
118
+
119
+ ## Considerations for Using the Data
120
+
121
+ ### Social Impact of Dataset
122
+
123
+ [Needs More Information]
124
+
125
+ ### Discussion of Biases
126
+
127
+ [Needs More Information]
128
+
129
+ ### Other Known Limitations
130
+
131
+ [Needs More Information]
132
+
133
+ ## Additional Information
134
+
135
+ ### Dataset Curators
136
+
137
+ [Needs More Information]
138
+
139
+ ### Licensing Information
140
+
141
+ FREE for noncommercial uses.
142
+
143
+ ### Citation Information
144
+
145
+ ```
146
+ @misc{pitt2007Buckeye,
147
+ title = {Buckeye {Corpus} of {Conversational} {Speech} (2nd release).},
148
+ url = {www.buckeyecorpus.osu.edu},
149
+ publisher = {Columbus, OH: Department of Psychology, Ohio State University (Distributor)},
150
+ author = {Pitt, M.A. and Dilley, L. and Johnson, K. and Kiesling, S. and Raymond, W. and Hume, E. and Fosler-Lussier, E.},
151
+ year = {2007},
152
+ }
153
+ ```
154
+
155
+ ### Usage
156
+
157
+ The first step is to download a copy of the dataset from [the official website](https://buckeyecorpus.osu.edu). Once done, the dataset can be loaded directly through the `datasets` library by running:
158
+
159
+ ```
160
+ from datasets import load_dataset
161
+
162
+ dataset = load_dataset("bhigy/buckeye_asr", data_dir=<path_to_the_dataset>)
163
+ ```
164
+
165
  where `<path_to_the_dataset>` points to the folder where the dataset is stored. An example of path to one of the audio files is then `<path_to_the_dataset>/s01/s0101a.wav`.