web/__init__.py,sha256=RPh6hJgr4j0aJM2swB1tQFU7BUoDk9fL0aLe0llhQVk,75
web/analogy.py,sha256=QFjmuD1BBUWRIWzI_-XdX8k1xe9i6MkuRILSRFK42TY,3272
web/embedding.py,sha256=_qqlfDBREMpCirpY--nSG4s8G6j3ZkKLYxe2OZjRQwg,19728
web/embeddings.py,sha256=sskVjchuP6PzlKS0NVmXpx6k3WU78i2oGYIjfydSoiY,20033
web/evaluate.py,sha256=1WXO8dcgVFOBrioAHjjxqErnbgGA_vV9MR_nxQzsQyA,14472
web/utils.py,sha256=YHOj5BKYNkSoAPgts8bQkkFaEcE1MP83KKuMrm6zvkU,3274
web/version.py,sha256=BQ9XwIJUeHoZusf1n9_OwC9lH-gcWg8V5veoIQy95hA,142
web/vocabulary.py,sha256=FYAxZfTHZDXg8wGFf5DUMRAV1yvOdYGqVEJOPJj1_6A,7368
web/_utils/__init__.py,sha256=frcCV1k9oG9oKj3dpUqdJg1PxRT2RSN_XKdLCPjaYaY,2
web/_utils/compat.py,sha256=m_fR-CNCPrVG3pX6PYjV_s6crGnQw7QduHAe2WVbiGY,1460
web/datasets/__init__.py,sha256=0Eg2tivxNrJBkU90jeS6NtanvFMNbk_PgM2ezwc_iYs,25
web/datasets/analogy.py,sha256=rVsORrSiHCe1nzJONuiSsSEJF5-6HfWK6Y46HujJ6kM,13179
web/datasets/categorization.py,sha256=h_581Whg4JkJ0j37n0_AURQ6audLNKFRYSBjBSpZg0g,7758
web/datasets/similarity.py,sha256=trDYyDxgIG68c084OVoBD4JYhknT9Sr50Un99kCPyGo,13116
web/datasets/utils.py,sha256=0HdSDPrbq8o2xj0P9O-9eL79z4ChUD1cMnf2pwHIDpQ,28612
word_embeddings_benchmarks-0.0.1.dist-info/LICENSE,sha256=ezFt83aQicdgqGqjHJhxnUdFn7GY33-nHcRAJkrHR_M,1120
word_embeddings_benchmarks-0.0.1.dist-info/METADATA,sha256=Ys4W4OqHQabZzGcU527AvUNDLUZ1kPWD3BImsNLFoxQ,4444
word_embeddings_benchmarks-0.0.1.dist-info/WHEEL,sha256=2wepM1nk4DS4eFpYrW1TTqPcoGNfHhhO_i5m4cOimbo,92
word_embeddings_benchmarks-0.0.1.dist-info/top_level.txt,sha256=Te2Js_nwNom3AyuSoJHnQuEgXipUJ35SsySY2fzfNkI,4
word_embeddings_benchmarks-0.0.1.dist-info/RECORD,,
