tensorflow / tensorflow/datasets
[data request] homoglyph (name/domain spoofing)
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- Dominant language
- Python
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Description
- Name of dataset: homoglyph (name/domain spoofing)
- URL of dataset: https://github.com/endgameinc/homoglyph/tree/master/data
- License of dataset: GNU Affero General Public License v3.0, https://github.com/endgameinc/homoglyph/blob/master/LICENSE
- Short description of dataset and use case(s): This dataset contains homoglyph of active/public domains. This dataset is useful for developing models that aims to tackle the problem of domain spoofing.
Relevant paper:
https://arxiv.org/pdf/1805.09738.pdf
github repo:
https://github.com/endgameinc/homoglyph
Folks who would also like to see this dataset in tensorflow/datasets, please thumbs-up so the developers can know which requests to prioritize.
And if you'd like to contribute the dataset (thank you!), see our guide to adding a dataset.
Yes I would like to contribute :)
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 with docs/add_dataset.md and inspect the linked homoglyph repository's data directory, license, and relevant paper. Confirm the dataset's structure and licensing requirements before assessing the TFDS integration; done means the homoglyph dataset is added to tensorflow/datasets with the requested metadata and use case represented.
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
- 32/100