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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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- [Data
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}
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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`.
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---
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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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- en
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licenses:
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- 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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# Dataset Card for the Buckeye Corpus (buckeye_asr)
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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)
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- [Data Instances](#data-instances)
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- [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)
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- [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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## Dataset Description
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- **Homepage:** https://buckeyecorpus.osu.edu/
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- **Repository:** [Needs More Information]
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- **Paper:** [Needs More Information]
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- **Leaderboard:** [Needs More Information]
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- **Point of Contact:** [Needs More Information]
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### Dataset Summary
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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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### Supported Tasks and Leaderboards
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[Needs More Information]
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### Languages
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American English (en-US)
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## Dataset Structure
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### Data Instances
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[Needs More Information]
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### Data Fields
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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.
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- `id`: string identifying the utterance.
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### Data Splits
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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.
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## Dataset Creation
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### Curation Rationale
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[Needs More Information]
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### Source Data
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#### Initial Data Collection and Normalization
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[Needs More Information]
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#### Who are the source language producers?
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[Needs More Information]
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### Annotations
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#### Annotation process
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[Needs More Information]
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#### Who are the annotators?
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[Needs More Information]
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### Personal and Sensitive Information
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[Needs More Information]
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## Considerations for Using the Data
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### Social Impact of Dataset
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[Needs More Information]
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### Discussion of Biases
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[Needs More Information]
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### Other Known Limitations
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[Needs More Information]
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## Additional Information
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### Dataset Curators
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[Needs More Information]
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### Licensing Information
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FREE for noncommercial uses.
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### Citation Information
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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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```
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### Usage
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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:
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```
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from datasets import load_dataset
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dataset = load_dataset("bhigy/buckeye_asr", data_dir=<path_to_the_dataset>)
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```
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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`.
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