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feat: updated Dataset Summary, Licensing Information. and Contributions

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  ---
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  license: cc-by-nc-sa-4.0
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Dataset Card for CORAAL
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  ### Dataset Summary
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- This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Supported Tasks and Leaderboards
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  ### Licensing Information
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- [More Information Needed]
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  ### Citation Information
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  ### Contributions
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- [More Information Needed]
 
 
 
 
 
 
 
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  license: cc-by-nc-sa-4.0
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+ task_categories:
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+ - automatic-speech-recognition
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+ language:
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+ - en
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+ tags:
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+ - AAL
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+ - AAVE
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+ - Ebonics
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+ - AAE
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+ - Black English
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+ pretty_name: CORAAL Dataset
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  # Dataset Card for CORAAL
 
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  ### Dataset Summary
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+ This dataset comprises audio files, text files, and audio segments sourced from the Corpus of Regional African American Language (CORAAL).
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+ CORAAL is a subset of the Online Resources for African American Language (ORAAL) project, initiated by a team of linguistics researchers at the University of Oregon.
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+ The original CORAAL dataset encompasses over 220 sociolinguistic interviews featuring African American Language (AAL) speakers born between 1888 and 2005. Each interview includes accompanying audio files and human-transcribed transcripts.
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+ While many large language models excel at automatic speech recognition, they often fall short when confronted with speech containing linguistic variations they haven't been trained on. Since CORAAL's initial release in January 2018 as the first public corpus of AAL data, it is highly probable that recent automatic speech recognition models struggle with AAL transcription.
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+ The primary aim of this dataset is to facilitate developers in training or fine-tuning their ASR models specifically for AAL, "a language spoken by more than 30 million working-class African Americans across North America" (Wolfram). This effort ultimately seeks to enhance the inclusivity of everyday ASR technology.
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+ For additional information regarding the original CORAAL dataset, please refer to the following links:
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+ - [CORAAL Website](https://oraal.uoregon.edu/coraal)
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+ - [CORAAL User Guide (PDF)](http://lingtools.uoregon.edu/coraal/userguide/CORAALUserGuide_current.pdf)
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  ### Supported Tasks and Leaderboards
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  ### Licensing Information
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+ [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/)
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  ### Citation Information
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  ### Contributions
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+ Kendall, Tyler and Charlie Farrington. 2023. The Corpus of Regional African American Language. Version 2023.06. Eugene, OR: The Online Resources for African American Language Project. [https://doi.org/10.7264/1ad5-6t35].
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+ Walt Wolfram. 2020. Urban African American Vernacular English.
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+ In: Kortmann, Bernd & Lunkenheimer, Kerstin & Ehret, Katharina (eds.)
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+ The Electronic World Atlas of Varieties of English.
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+ None: None.
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+ (Available online at http://ewave-atlas.org/languages/15, Accessed on 2023-09-26.)