---
task_categories:
- text-classification
- zero-shot-classification
language:
- en
size_categories:
- 10K<n<100K
---
Table of Contents
Dataset Description
Dataset Summary
Supported Tasks
Languages
Dataset Structure
Data Instances
Data Fields
Data Splits
Dataset Creation
Curation Rationale
Source Data
Annotations
Personal and Sensitive Information
Considerations for Using the Data
Social Impact of Dataset
Discussion of Biases
Other Known Limitations
Additional Information
Dataset Curators
Licensing Information
Citation Information


**Dataset Description
Dataset Summary
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).

Supported Tasks
Sentiment Analysis: Determine the sentiment of comments.
Text Classification: Classify comments by sentiment or episode.
Language Modeling: Train models on entertainment-specific text.
Languages
The dataset is primarily in English.

Dataset Structure
Data Instances
A data instance might look like this:

json
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{
  "POINT": 8,
  "DATE": "2019-04-14",
  "TITLE": "Winterfell",
  "USER_NAME": "john_doe",
  "CONTENT": "Great episode but expected more from the storyline."
}
Data Fields
POINT: Rating given by the user.
DATE: Date when the comment was posted.
TITLE: Title of the episode being commented on.
USER_NAME: Username of the commenter.
CONTENT: Text of the comment.
Data Splits
The dataset documentation should detail the division into training, validation, and test sets, if applicable.

Dataset Creation
Curation Rationale
Curated to analyze viewer reactions towards "Game of Thrones" episodes, aiming to provide insights into the series' reception and engagement levels.

Source Data
Comments were collected from IMDb's episode pages for "Game of Thrones".

Annotations
The dataset does not include additional annotations beyond the user-provided ratings and comments.

Personal and Sensitive Information
Includes usernames that could be considered personal information. Users should handle this data responsibly.

Considerations for Using the Data
Social Impact of Dataset
Facilitates understanding of viewer sentiments and can contribute to cultural impact studies on popular television series.

Discussion of Biases
May contain biases towards English-speaking and online-commenting populations.

Other Known Limitations
Sentiments expressed may not represent the broader audience's views accurately.

Additional Information
Dataset Curators
Curated by Abdalrhman Alquaary in 2023.

Licensing Information
Specify the dataset's licensing here.

Citation Information
bibtex
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@misc{game_of_thrones_imdb_comments_2023,
  title={Game of Thrones Comments on IMDb},
  author={Alquaary, Abdalrhman},
  year={2023}
}