Wheelodex » Projects » gpt3datagen

gpt3datagen

View on PyPI — Reverse Dependencies (0)

0.1.0 gpt3datagen-0.1.0-py3-none-any.whl

Wheel Details

Project: gpt3datagen
Version: 0.1.0
Filename: gpt3datagen-0.1.0-py3-none-any.whl
Download: [link]
Size: 471122
MD5: 516b01178050e543593c3b0a0e305c8e
SHA256: 8d2ae55b75b65f37fa7b16d80c3c7a62e131cfa59ae537289102069803e2b9e1
Uploaded: 2023-03-07 07:57:08 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: gpt3datagen
Version: 0.1.0
Summary: Fine-Tune GPT-3 Data Generator is a python package that generate fake datasets.
Author: Theophilus Siameh
Author-Email: theodondre[at]gmail.com
Home-Page: https://github.com/donwany/gpt3datagen
License: MIT License
Keywords: GPT3,GPT3 DataGen,Sample Faker,DataGen,Fine-Tune
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
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: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Software Development :: Testing
Classifier: Topic :: Utilities
Platform: any
Requires-Python: >=3.7
Requires-Dist: pandas
Requires-Dist: numpy (==1.24.2)
Requires-Dist: pre-commit (==3.1.1)
Description-Content-Type: text/markdown
[Description omitted; length: 4830 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.35.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
gpt3datagen/__init__.py sha256=CpXi3jGlx23RvRyU7iytOMZrnspdWw4yofS8lpP1AJU 18
gpt3datagen/prepare.py sha256=1RQVDNpI4mSLg_b_ssig-uppe7PUAfbLYSae2pffFh8 2971
gpt3datagen/utils.py sha256=4SuwsVfjTQgLIbyoeReje5oZjoOJ4OX-3bZLYL6GUx8 4784
gpt3datagen/datasets/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
gpt3datagen/datasets/classification.py sha256=yYOcCRGiC5GKioKqdtkuvoGKJM1RRmev91RBWL9IfR8 173
gpt3datagen/datasets/condition_generation.py sha256=JDIaDeI6RPtQz_P8_D61zI9Nr04vaXYOhmWUvDtPYmI 116242
gpt3datagen/datasets/news_articles.py sha256=tVBEU5vW7UEN_blEp0_rWK5kbIDWQynlUR3TzvHqzn8 1259031
gpt3datagen-0.1.0.dist-info/LICENCE.txt sha256=RTZTSGRQ0WlJSwmwvKeeJ-GH68e7ndhaadLnzwkvwrI 1061
gpt3datagen-0.1.0.dist-info/METADATA sha256=Izja_N9BqpYa3G3VTWv8CyAAFRn4eUJfWIolyhNZ_lY 6165
gpt3datagen-0.1.0.dist-info/WHEEL sha256=EVRjI69F5qVjm_YgqcTXPnTAv3BfSUr0WVAHuSP3Xoo 92
gpt3datagen-0.1.0.dist-info/entry_points.txt sha256=jK002tR1bOIh4i-nI7gQ69Fhv_jRiYz01m2oCp-XDyQ 57
gpt3datagen-0.1.0.dist-info/top_level.txt sha256=-AndgKJRRq7_XXV1OrPqHgzY2wNejfkTQIoUkteJO_o 12
gpt3datagen-0.1.0.dist-info/RECORD — —

top_level.txt

gpt3datagen

entry_points.txt

[console_scripts]
gpt3datagen = gpt3datagen.prepare:cli