
# Dataset Card for the Buckeye Corpus (buckeye_asr)

## Table of Contents
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-instances)
  - [Data Splits](#data-instances)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
  - [Social Impact of Dataset](#social-impact-of-dataset)
  - [Discussion of Biases](#discussion-of-biases)
  - [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)

## Dataset Description

- **Homepage:** https://buckeyecorpus.osu.edu/
- **Repository:** [Needs More Information]
- **Paper:** [Needs More Information]
- **Leaderboard:** [Needs More Information]
- **Point of Contact:** [Needs More Information]

### Dataset Summary

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.

### Supported Tasks and Leaderboards

[Needs More Information]

### Languages

American English (en-US)

## Dataset Structure

### Data Instances

[Needs More Information]

### Data Fields

- `file`: filename of the audio file containing the utterance.
- `audio`: filename of the audio file containing the utterance.
- `text`: transcription of the utterance.
- `phonetic_detail`: list of phonetic annotations for the utterance (start, stop and label of each phone).
- `word_detail`: list of word annotations for the utterance (start, stop, label, broad and narrow transcriptions, syntactic class).
- `speaker_id`: string identifying the speaker.
- `id`: string identifying the utterance.

### Data Splits

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.

## Dataset Creation

### Curation Rationale

[Needs More Information]

### Source Data

#### Initial Data Collection and Normalization

[Needs More Information]

#### Who are the source language producers?

[Needs More Information]

### Annotations

#### Annotation process

[Needs More Information]

#### Who are the annotators?

[Needs More Information]

### Personal and Sensitive Information

[Needs More Information]

## Considerations for Using the Data

### Social Impact of Dataset

[Needs More Information]

### Discussion of Biases

[Needs More Information]

### Other Known Limitations

[Needs More Information]

## Additional Information

### Dataset Curators

[Needs More Information]

### Licensing Information

FREE for noncommercial uses.

### Citation Information

```
@misc{pitt2007Buckeye,
  title = {Buckeye {Corpus} of {Conversational} {Speech} (2nd release).},
  url = {www.buckeyecorpus.osu.edu},
  publisher = {Columbus, OH: Department of Psychology, Ohio State University (Distributor)},
  author = {Pitt, M.A. and Dilley, L. and Johnson, K. and Kiesling, S. and Raymond, W. and Hume, E. and Fosler-Lussier, E.},
  year = {2007},
}
```

### Usage

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:

```
from datasets import load_dataset

dataset = load_dataset("bhigy/buckeye_asr", data_dir=<path_to_the_dataset>)
```

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`.
task_categories:automatic-speech-recognition annotations_creators:expert-generated language_creators:crowdsourced multilinguality:monolingual size_categories:unknown source_datasets:original language:en license:other region:us
{"annotations_creators": ["expert-generated"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["unknown"], "source_datasets": ["original"], "task_categories": ["automatic-speech-recognition"], "task_ids": ["speech-recognition"], "pretty_name": "Buckeye Corpus", "language_bcp47": ["en-US"]}
TAGS
#task_categories-automatic-speech-recognition #annotations_creators-expert-generated #language_creators-crowdsourced #multilinguality-monolingual #size_categories-unknown #source_datasets-original #language-English #license-other #region-us 


# Dataset Card for the Buckeye Corpus (buckeye_asr)

## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information

## Dataset Description

- Homepage: URL
- Repository: 
- Paper: 
- Leaderboard: 
- Point of Contact: 

### Dataset Summary

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.

### Supported Tasks and Leaderboards



### Languages

American English (en-US)

## Dataset Structure

### Data Instances



### Data Fields

- 'file': filename of the audio file containing the utterance.
- 'audio': filename of the audio file containing the utterance.
- 'text': transcription of the utterance.
- 'phonetic_detail': list of phonetic annotations for the utterance (start, stop and label of each phone).
- 'word_detail': list of word annotations for the utterance (start, stop, label, broad and narrow transcriptions, syntactic class).
- 'speaker_id': string identifying the speaker.
- 'id': string identifying the utterance.

### Data Splits

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.

## Dataset Creation

### Curation Rationale



### Source Data

#### Initial Data Collection and Normalization



#### Who are the source language producers?



### Annotations

#### Annotation process



#### Who are the annotators?



### Personal and Sensitive Information



## Considerations for Using the Data

### Social Impact of Dataset



### Discussion of Biases



### Other Known Limitations



## Additional Information

### Dataset Curators



### Licensing Information

FREE for noncommercial uses.





### Usage

The first step is to download a copy of the dataset from the official website. Once done, the dataset can be loaded directly through the 'datasets' library by running:



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/URL'.
# Dataset Card for the Buckeye Corpus (buckeye_asr) ## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information ## Dataset Description

- Homepage: URL
- Repository: 
- Paper: 
- Leaderboard: 
- Point of Contact: ### Dataset Summary

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. ### Supported Tasks and Leaderboards ### Languages

American English (en-US) ## Dataset Structure ### Data Instances ### Data Fields

- 'file': filename of the audio file containing the utterance.
- 'audio': filename of the audio file containing the utterance.
- 'text': transcription of the utterance.
- 'phonetic_detail': list of phonetic annotations for the utterance (start, stop and label of each phone).
- 'word_detail': list of word annotations for the utterance (start, stop, label, broad and narrow transcriptions, syntactic class).
- 'speaker_id': string identifying the speaker.
- 'id': string identifying the utterance. ### Data Splits

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. ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing Information

FREE for noncommercial uses. ### Usage

The first step is to download a copy of the dataset from the official website. Once done, the dataset can be loaded directly through the 'datasets' library by running:



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/URL'.
TAGS
#task_categories-automatic-speech-recognition #annotations_creators-expert-generated #language_creators-crowdsourced #multilinguality-monolingual #size_categories-unknown #source_datasets-original #language-English #license-other #region-us 
 # Dataset Card for the Buckeye Corpus (buckeye_asr) ## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information ## Dataset Description

- Homepage: URL
- Repository: 
- Paper: 
- Leaderboard: 
- Point of Contact: ### Dataset Summary

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. ### Supported Tasks and Leaderboards ### Languages

American English (en-US) ## Dataset Structure ### Data Instances ### Data Fields

- 'file': filename of the audio file containing the utterance.
- 'audio': filename of the audio file containing the utterance.
- 'text': transcription of the utterance.
- 'phonetic_detail': list of phonetic annotations for the utterance (start, stop and label of each phone).
- 'word_detail': list of word annotations for the utterance (start, stop, label, broad and narrow transcriptions, syntactic class).
- 'speaker_id': string identifying the speaker.
- 'id': string identifying the utterance. ### Data Splits

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. ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing Information

FREE for noncommercial uses. ### Usage

The first step is to download a copy of the dataset from the official website. Once done, the dataset can be loaded directly through the 'datasets' library by running:



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/URL'.