smile-datasets
Data pipelines for both TensorFlow and PyTorch !
If you want to load public datasets, try:
If you want to load local, personal dataset with minimized boilerplate, use naivenlp-datasets!
installation
pip install -U naivenlp-datasets
If you work with PyTorch, you should install PyTorch first.
If you work with TensorFlow, you should install TensorFlow first.
Usage
Here are few examples to show you how to use this library.
Metadata
Release files for naivenlp-datasets 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| naivenlp-datasets-0.1.0.tar.gz | 23.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| naivenlp_datasets-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 64.2 kB
Release files / naivenlp-datasets-0.1.0.tar.gz
| Download URL | naivenlp-datasets-0.1.0.tar.gz |
|---|---|
| Size | 23.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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Release files / naivenlp_datasets-0.1.0-py3-none-any.whl
| Download URL | naivenlp_datasets-0.1.0-py3-none-any.whl |
|---|---|
| Size | 40.3 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.7.0 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0
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