tensorflow / tensorflow/datasets
[data request] Netflix Movies and TV Shows
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- Dominant language
- Python
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Description
- Name of dataset: Netflix Movies and TV Shows
- URL of dataset: https://www.kaggle.com/shivamb/netflix-shows
- License of dataset: CC0: Public Domain
- Short description of dataset: The dataset consists of tv shows and movies available on Netflix.
Use cases:
- Understanding what content is available in different countries.
- Identifying similar content by matching text-based features.
- Network analysis of Actors / Directors and find interesting insights.
Integrating this dataset with other external datasets such as IMDB ratings, rotten tomatoes can also provide many interesting findings.
Folks who would also like to see this dataset in tensorflow/datasets, please thumbs-up so the developers can know which requests to prioritize.
I can open a PR to add this dataset.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reviewing the Kaggle dataset linked in the issue and the tensorflow/datasets repository's dataset-contribution entry point; no files or tests are named. Confirm the dataset's license, fields, and stated use cases, then determine the integration and validation scope. Done means the Netflix Movies and TV Shows dataset is added to TFDS.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 38/100