The dataset viewer is not available for this dataset.
Error code: ConfigNamesError
Exception: DataFilesNotFoundError
Message: No (supported) data files found in ApoAlquaary/Game-of-Thrones-IMDB
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 67, in compute_config_names_response
get_dataset_config_names(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 347, in get_dataset_config_names
dataset_module = dataset_module_factory(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1840, in dataset_module_factory
raise e1 from None
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1821, in dataset_module_factory
return HubDatasetModuleFactoryWithoutScript(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1215, in get_module
module_name, default_builder_kwargs = infer_module_for_data_files(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 591, in infer_module_for_data_files
raise DataFilesNotFoundError("No (supported) data files found" + (f" in {path}" if path else ""))
datasets.exceptions.DataFilesNotFoundError: No (supported) data files found in ApoAlquaary/Game-of-Thrones-IMDBNeed help to make the dataset viewer work? Open a discussion for direct support.
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 Copy code { "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 Copy code @misc{game_of_thrones_imdb_comments_2023, title={Game of Thrones Comments on IMDb}, author={Alquaary, Abdalrhman}, year={2023} }
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