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ApraxiaSpeechPatternMining

tags: Apraxia, Speech Patterns, Mining

Note: This is an AI-generated dataset so its content may be inaccurate or false

Dataset Description:

The 'ApraxiaSpeechPatternMining' dataset contains transcribed speech recordings from individuals diagnosed with apraxia of speech, a motor speech disorder that affects the planning and coordination of speech movements. The dataset includes a variety of spoken phrases and sentences that are representative of the speech patterns commonly observed in apraxia. Each transcript is paired with a label indicating the type of apraxia (e.g., 'fluent', 'non-fluent', 'variable', 'developmental') and the severity level (e.g., 'mild', 'moderate', 'severe'). The dataset is intended for use in machine learning models to identify and differentiate speech patterns associated with different types and severities of apraxia.

CSV Content Preview:

id,speech_transcript,labels
1,"The quick brown fox jumps over the lazy dog","non-fluent,mild"
2,"A careful analysis of the situation is required for accurate results.","fluent,moderate"
3,"Please open the door and wait for further instructions.","variable,severe"
4,"Happiness is found in simple things, like a warm cup of coffee.","fluent,mild"
5,"The environmental policies must prioritize sustainability.","non-fluent,moderate"

Source of the data:

The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query '':

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