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README.md
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---
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task_categories:
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- text-classification
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- zero-shot-classification
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language:
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- en
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size_categories:
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- 10K<n<100K
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---
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Table of Contents
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Dataset Description
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Dataset Summary
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Supported Tasks
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Languages
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Dataset Structure
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Data Instances
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Data Fields
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Data Splits
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Dataset Creation
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Curation Rationale
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Source Data
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Annotations
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Personal and Sensitive Information
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Considerations for Using the Data
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Social Impact of Dataset
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Discussion of Biases
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Other Known Limitations
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Additional Information
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Dataset Curators
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Licensing Information
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Citation Information
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**Dataset Description
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Dataset Summary
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This dataset comprises comments from IMDb on "Game of Thrones" episodes, including ratings (POINT), dates of the comments (DATE), titles of the episodes (TITLE), usernames (USER_NAME), and the content of the comments (CONTENT).
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Supported Tasks
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Sentiment Analysis: Determine the sentiment of comments.
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Text Classification: Classify comments by sentiment or episode.
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Language Modeling: Train models on entertainment-specific text.
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Languages
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The dataset is primarily in English.
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Dataset Structure
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Data Instances
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A data instance might look like this:
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json
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Copy code
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{
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"POINT": 8,
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"DATE": "2019-04-14",
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"TITLE": "Winterfell",
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"USER_NAME": "john_doe",
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"CONTENT": "Great episode but expected more from the storyline."
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}
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Data Fields
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POINT: Rating given by the user.
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DATE: Date when the comment was posted.
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TITLE: Title of the episode being commented on.
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USER_NAME: Username of the commenter.
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CONTENT: Text of the comment.
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Data Splits
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The dataset documentation should detail the division into training, validation, and test sets, if applicable.
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Dataset Creation
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Curation Rationale
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Curated to analyze viewer reactions towards "Game of Thrones" episodes, aiming to provide insights into the series' reception and engagement levels.
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Source Data
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Comments were collected from IMDb's episode pages for "Game of Thrones".
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Annotations
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The dataset does not include additional annotations beyond the user-provided ratings and comments.
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Personal and Sensitive Information
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Includes usernames that could be considered personal information. Users should handle this data responsibly.
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Considerations for Using the Data
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Social Impact of Dataset
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Facilitates understanding of viewer sentiments and can contribute to cultural impact studies on popular television series.
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Discussion of Biases
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May contain biases towards English-speaking and online-commenting populations.
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Other Known Limitations
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Sentiments expressed may not represent the broader audience's views accurately.
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Additional Information
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Dataset Curators
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Curated by Abdalrhman Alquaary in 2023.
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Licensing Information
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Specify the dataset's licensing here.
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Citation Information
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bibtex
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Copy code
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@misc{game_of_thrones_imdb_comments_2023,
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title={Game of Thrones Comments on IMDb},
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author={Alquaary, Abdalrhman},
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year={2023}
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}
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