tensorflow / tensorflow/datasets
[data request] YouTube 8M
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dataset request
- Dominant language
- Python
- Stars
- 4.6k
- Forks
- 1.6k
- Avg merge
- 3h 54m
- Merged PRs (30d)
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Description
- Name of dataset: YouTube 8M
- URL of dataset: https://research.google.com/youtube8m/
- License of dataset: Creative Commons Attribution 4.0 International (CC BY 4.0) license.
- Short description of dataset and use case(s): YouTube-8M is a large-scale labeled video dataset that consists of millions of YouTube video IDs, with high-quality machine-generated annotations from a diverse vocabulary of 3,800+ visual entities. Can be used for large-scale video understanding, representation learning, noisy data modeling, transfer learning, and domain adaptation approaches for video, and multi-task learning.
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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 YouTube-8M dataset details at the linked URL and the tensorflow/datasets repository context. Determine the scope and requirements for adding this dataset, including how its video IDs, annotations, and CC BY 4.0 license would be represented; done means the dataset is supported in 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
- Needs clarification
- Newbie friendliness
- 25/100