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--- |
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license: mit |
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language: |
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- en |
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metrics: |
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- accuracy |
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base_model: |
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- distilbert/distilbert-base-uncased |
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pipeline_tag: question-answering |
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tags: |
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- IMDB |
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- Movie |
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datasets: |
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- ExecuteAutomation/ImdbMovieDataSet |
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--- |
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## Q&A Classification |
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This model is a Q&A classification model trained using Distilbert-base-uncased model. |
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This model helps enabling AI to better understand and respond to movie-related queries based on the data its trained on |
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#### IMDB Dataset |
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The IMDB dataset is a rich collection of movie-related information, including: |
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• Movie details: Titles (original and localized), release dates, and production status |
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• Ratings & popularity: User ratings and overall reception |
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• Genres & themes: Categorization of movies by type and style |
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• Summaries: Overviews describing movie plots |
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• Cast & crew: Information on actors, directors, writers, and other contributors |
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• Financial data: Budgets, revenues, and country of origin |
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• Languages: Original language of the movie |
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This dataset serves as a valuable resource for analyzing industry trends, such as genre popularity, budget-to-revenue relationships, and predictive modeling of a movie’s success. |
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