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BYOD

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0.3.0 BYOD-0.3.0-py3-none-any.whl

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Project: BYOD
Version: 0.3.0
Filename: BYOD-0.3.0-py3-none-any.whl
Download: [link]
Size: 22101
MD5: 1b8f755fbd0dad333a631effbae9bb99
SHA256: a6b088133439c584633971594bb83211f0a90743546009f6c61bc986d6f51a6e
Uploaded: 2023-06-23 01:57:18 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: BYOD
Version: 0.3.0
Summary: Bring Your Own Data! Self-Supervised Evaluation for Large Language Models
Author: Neel Jain, Khalid Saifullah, Jonas Geiping
Author-Email: njain17[at]umd.edu
Home-Page: https://github.com/neelsjain/BYOD
License: MIT
Keywords: todo
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Platform: any
Requires-Python: >=3.9
Requires-Dist: torch (>=2.0.0)
Requires-Dist: transformers (>=4.28.1)
Requires-Dist: scipy (>=1.10.1)
Requires-Dist: datasets (>=2.11.0)
Requires-Dist: nltk (>=3.8.1)
Requires-Dist: apache-beam (>=2.48.0)
Description-Content-Type: text/markdown
[Description omitted; length: 2475 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.40.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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BYOD/context_sensitivity.py sha256=9SltxSoWMlY75yokOyPy3dKOAn8Y5J9x2HwlzrEnfBg 3683
BYOD/negations.py sha256=f4SNJiZWef78K_ZiiJvZBJ-lfKyipfnpk2DWl8Xbcuw 3545
BYOD/tokenization_robustness.py sha256=Fb8eZP8YbCBOdttWq5Dkn-SJdJlczsTF90UW13tfF9A 6287
BYOD/toxicity.py sha256=SqwYYeJ5HqDdxQopjeDlDc8rFkMjYgZS9QxT0UkGo6c 10631
BYOD/word_order.py sha256=rINN-qF0Anc_akVViGRZPc0moMmuQgdrXCTMsxGfQ0o 4196
BYOD/List-of-Dirty-Naughty-Obscene-and-Otherwise-Bad-Words/en.txt sha256=dfwCub4XaU6TuHr681ZnlOCyjVr803Sz5DMb-Xv0PSE 3776
BYOD/utils/JSD.py sha256=xNpJHagUvL4RXTDWz2wEFHO_aOjAjz_TKN9VbxRcpq0 558
BYOD/utils/__init__.py sha256=iLKJz-izvYDDFbVXh7jSrTOXVsT4n6gXHbSfEew5-FA 137
BYOD/utils/hf_utils.py sha256=xFOaQAQZMdde7iHNR5Fn88hA7qpkxC3KylTrY0t7qxk 4163
BYOD/utils/wikiDataset.py sha256=y0QLpwBPAM6sILAghym3WXLY_3tMDEf4rhHlUBpJ3BQ 4540
BYOD-0.3.0.data/scripts/run_lrs.py sha256=CtRXetr482W4mIz678A-7pQzgp2J88EGNwMmTZ7sf3k 2506
BYOD-0.3.0.data/scripts/run_negations.py sha256=SgSAE4kMeyvfkxx-OdKWCyeXSHdsK0EELk5SLMqO3jo 2674
BYOD-0.3.0.data/scripts/run_tokenization_split.py sha256=Nox6lp0jZe8TiM9c7G-QjvsC5HnN2glX7YZgn7rLu50 3285
BYOD-0.3.0.data/scripts/run_toxicity.py sha256=rSs8jZPTM_j-XM_ysNCu3ED90ZV5f_ccVY8LcdvzSKc 3145
BYOD-0.3.0.data/scripts/run_word_order.py sha256=HVWbpMYXqnyurnVfirfPaa5HdWnPaMwY1tAulfvkc-Q 2498
BYOD-0.3.0.dist-info/METADATA sha256=maR9luHr-9UKDAWK7K3cL-JQcskRIFmxZ_joQD29jKQ 3255
BYOD-0.3.0.dist-info/WHEEL sha256=pkctZYzUS4AYVn6dJ-7367OJZivF2e8RA9b_ZBjif18 92
BYOD-0.3.0.dist-info/top_level.txt sha256=SVpL-mTJJ1rO9AtF_FX4LYYHTX2qY6AbsTEdZ6duN9c 5
BYOD-0.3.0.dist-info/RECORD — —

top_level.txt

BYOD