tensorflow / tensorflow/datasets
emnist/letters dataset has 26 classes not 37
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Description
Description of issue
emnist/letters says it has 37 classes but it really only has 26
Describe what the problem is. Please include URL(s) if possible.
https://www.tensorflow.org/datasets/catalog/emnist
On the above URL the the emnist/letters dataset is described as having 37 classes. It actually only has 26 classes. All upper and lower case letters were merged together in the emnist/letters dataset.
This is not simply a typo issue because the meta data also states that there are 37 classes when it should report only 26. So I guess there are 37 classes but some classes are never used.
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 the EMNIST catalog entry linked in the issue and inspect how the letters dataset metadata declares its class count. Compare that declaration with the labels actually present, then update the affected metadata so the catalog and dataset report the correct count.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- data, machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 42/100