memDataset

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0.0.1 memDataset-0.0.1-py3-none-any.whl

Wheel Details

Project: memDataset
Version: 0.0.1
Filename: memDataset-0.0.1-py3-none-any.whl
Download: [link]
Size: 8104
MD5: 399b7543efd8fdeb9d5d8a9d3f651507
SHA256: b75e675792490aec04f4397419d213dbb5d00123e6f05833d9be28e26e501505
Uploaded: 2023-03-01 14:36:40 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: memDataset
Version: 0.0.1
Summary: A package to easily handle text torch datasets and used them in hugging face transformers. Includes some extras to help with data augmentation
Author: Fernando Mendez
Author-Email: fernandomendez[at]tfl.gov.uk
Home-Page: https://dev.azure.com/tfl-dataanalytics/DataScienceLU/_git/memDataset
License: Apache Software License 2.0
Keywords: nbdev jupyter notebook python
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: License :: OSI Approved :: Apache Software License
Requires-Python: >=3.7
Requires-Dist: dotmap
Requires-Dist: torch
Requires-Dist: scikit-learn
Requires-Dist: numpy
Provides-Extra: dev
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 49 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.38.4)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
memDataset/__init__.py sha256=ry5O5SW74ugwOUMKSV2_LbWjYa8B0IEvUm7S-lHPA2c 23
memDataset/_modidx.py sha256=OKzKt4ufg3FdTYgFSZXceqiYBj81m4zZTY4kAf4BIPk 1848
memDataset/core.py sha256=yZfJCO-KeSWdT55qmwcB-61bEDVUQOGL_ItnyNsBnDY 3902
memDataset-0.0.1.dist-info/LICENSE sha256=xV8xoN4VOL0uw9X8RSs2IMuD_Ss_a9yAbtGNeBWZwnw 11337
memDataset-0.0.1.dist-info/METADATA sha256=NwIEt9IK_k8rLq2XQ2bmmawoIFEmSYs4uIbKY8jWCuw 1114
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memDataset-0.0.1.dist-info/entry_points.txt sha256=9RP6U0ftDs8_YsFNzeRaKCHYSoYtz762vMjI2lxTWW8 63
memDataset-0.0.1.dist-info/top_level.txt sha256=KP1XOMlgirWbO4yGn9YRKHvpbB3AfnazUfkztCKeF-E 11
memDataset-0.0.1.dist-info/RECORD

top_level.txt

memDataset

entry_points.txt

[nbdev]
memDataset = memDataset._modidx:d