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Apple Live Stream Transcript Dataset
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Free
About
This dataset provides the verbatim transcript of the Apple event live stream held in September 2023. It serves as a valuable resource for AI and machine learning applications, particularly in the field of Natural Language Processing (NLP). Each entry details a spoken segment, including its start time and duration, offering insights into the pacing and content flow of the event.
Columns
- Text: The exact spoken words from the live stream.
- Start Time: The timestamp indicating when each spoken segment begins.
- Duration: The length of time, in seconds, for which each spoken segment lasts.
Distribution
This dataset, typically provided in a CSV format, contains a structured collection of the Apple event transcript. While exact total row counts vary based on specific analysis periods, segments are organised by start time and duration. For instance, an initial segment range from 0.13 to 1.74 seconds could contain over a thousand labels. The dataset is version 1.0 and is assessed as having a high quality rating.
Usage
This dataset is ideal for:
- Speech-to-text model training and evaluation.
- Content analysis of Apple keynotes and product announcements.
- Sentiment analysis to gauge public and market reactions.
- Research in natural language understanding and event dynamics.
- Data visualisation to represent speaking patterns and event structure.
- Business intelligence to track technology trends and announcements.
Coverage
The data specifically covers the Apple event live stream that took place in September 2023. Its scope is global, reflecting the worldwide audience and relevance of Apple's events.
License
CC-BY
Who Can Use It
This dataset is suitable for a wide range of users, including:
- Data scientists and machine learning engineers for developing and refining NLP models.
- Researchers in fields such as computer science, linguistics, and media studies.
- Developers and programmers building applications that require transcribed event data.
- Business analysts seeking insights into product launches and corporate communications.
- Students at beginner and intermediate levels interested in data analysis and technology trends.
Dataset Name Suggestions
- Apple September 2023 Keynote Transcript
- 2023 Apple Event Speech Data
- Apple Live Stream Transcript Dataset
Attributes
Original Data Source: Apple Event September 2023 Transcript
QUALITY