text stringlengths 5 22M | id stringlengths 12 177 | metadata dict | __index_level_0__ int64 0 1.37k |
|---|---|---|---|
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="hospital" format="2">
<advance width="1200"/>
<unicode hex="F0FF6"/>
<note>
hospital
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<outline>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="incognito-circle" format="2">
<advance width="1200"/>
<unicode hex="F1421"/>
<note>
incognito-circle
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<outline>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="keyboard-backspace" format="2">
<advance width="1200"/>
<unicode hex="F030D"/>
<note>
keyboard-backspace
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="klingon" format="2">
<advance width="1200"/>
<unicode hex="F135B"/>
<note>
klingon
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<contour>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="ladder" format="2">
<advance width="1200"/>
<unicode hex="F15A2"/>
<note>
ladder
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<outline>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="language-markdown-outline" format="2">
<advance width="1200"/>
<unicode hex="F0F5B"/>
<note>
language-markdown-outline
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="layers" format="2">
<advance width="1200"/>
<unicode hex="F0328"/>
<note>
layers
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="led-strip" format="2">
<advance width="1200"/>
<unicode hex="F07D6"/>
<note>
led-strip
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="menu-right-outline" format="2">
<advance width="1200"/>
<unicode hex="F0A03"/>
<note>
menu-right-outline
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<outline>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="message-minus" format="2">
<advance width="1200"/>
<unicode hex="F116E"/>
<note>
message-minus
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<outline>
<contour>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="music-note-whole" format="2">
<advance width="1200"/>
<unicode hex="F038D"/>
<note>
music-note-whole
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<outline>
<contour>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="not-equal" format="2">
<advance width="1200"/>
<unicode hex="F098D"/>
<note>
not-equal
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<contour>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="notebook-outline" format="2">
<advance width="1200"/>
<unicode hex="F0EBF"/>
<note>
notebook-outline
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<outline>
<contour>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="numeric-4" format="2">
<advance width="1200"/>
<unicode hex="F0B3D"/>
<note>
numeric-4
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<outline>
<contour>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="pan-right" format="2">
<advance width="1200"/>
<unicode hex="F0BBA"/>
<note>
pan-right
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<outline>
<contour>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="phone-bluetooth-outline" format="2">
<advance width="1200"/>
<unicode hex="F118F"/>
<note>
phone-bluetooth-outline
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<outline>
<contour>
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<point x="1117" y="418" type="qcurve" smooth="yes"/>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="pine-tree" format="2">
<advance width="1200"/>
<unicode hex="F0405"/>
<note>
pine-tree
</note>
<outline>
<contour>
<point x="730" y="130" type="line"/>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="propane-tank" format="2">
<advance width="1200"/>
<unicode hex="F1357"/>
<note>
propane-tank
</note>
<outline>
<contour>
<point x="1170" y="497" type="line"/>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="qrcode-remove" format="2">
<advance width="1200"/>
<unicode hex="F118D"/>
<note>
qrcode-remove
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<outline>
<contour>
<point x="232" y="974" type="line"/>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="receipt-outline" format="2">
<advance width="1200"/>
<unicode hex="F19DC"/>
<note>
receipt-outline
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<outline>
<contour>
<point x="1180" y="1353" type="line"/>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="rectangle" format="2">
<advance width="1200"/>
<unicode hex="F0E5E"/>
<note>
rectangle
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<outline>
<contour>
<point x="1180" y="1180" type="line"/>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="relation-many-to-one-or-many" format="2">
<advance width="1200"/>
<unicode hex="F1498"/>
<note>
relation-many-to-one-or-many
</note>
<outline>
<contour>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="repeat-once" format="2">
<advance width="1200"/>
<unicode hex="F0458"/>
<note>
repeat-once
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<outline>
<contour>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="scatter-plot" format="2">
<advance width="1200"/>
<unicode hex="F0EC9"/>
<note>
scatter-plot
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<outline>
<contour>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="screw-round-top" format="2">
<advance width="1200"/>
<unicode hex="F0DF7"/>
<note>
screw-round-top
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<outline>
<contour>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="shape-circle-plus" format="2">
<advance width="1200"/>
<unicode hex="F065D"/>
<note>
shape-circle-plus
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<outline>
<contour>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="shuffle-variant" format="2">
<advance width="1200"/>
<unicode hex="F049F"/>
<note>
shuffle-variant
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<outline>
<contour>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="smoke-detector" format="2">
<advance width="1200"/>
<unicode hex="F0392"/>
<note>
smoke-detector
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<outline>
<contour>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="snowflake" format="2">
<advance width="1200"/>
<unicode hex="F0717"/>
<note>
snowflake
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<outline>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="sort" format="2">
<advance width="1200"/>
<unicode hex="F04BA"/>
<note>
sort
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="source-commit" format="2">
<advance width="1200"/>
<unicode hex="F0718"/>
<note>
source-commit
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="star-settings-outline" format="2">
<advance width="1200"/>
<unicode hex="F166B"/>
<note>
star-settings-outline
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<outline>
<contour>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="table-row-plus-before" format="2">
<advance width="1200"/>
<unicode hex="F04F4"/>
<note>
table-row-plus-before
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<outline>
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<point x="... | cascadia-code/sources/nerdfonts/full/processed/MaterialDesignIconsDesktop.ufo/glyphs/table-row-plus-before.glif/0 | {
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"repo_id": "cascadia-code",
"token_count": 1134
} | 573 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="tag-off-outline" format="2">
<advance width="1200"/>
<unicode hex="F1221"/>
<note>
tag-off-outline
</note>
<outline>
<contour>
<point x="303" y="1124"/>
<point x="270" y="1124" type="qcurve" smooth="yes"/>
<point x="233" y="1124"/>
... | cascadia-code/sources/nerdfonts/full/processed/MaterialDesignIconsDesktop.ufo/glyphs/tag-off-outline.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/MaterialDesignIconsDesktop.ufo/glyphs/tag-off-outline.glif",
"repo_id": "cascadia-code",
"token_count": 1412
} | 574 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="tally-mark-4" format="2">
<advance width="1200"/>
<unicode hex="F1ABF"/>
<note>
tally-mark-4
</note>
<outline>
<contour>
<point x="183" y="1290" type="line"/>
<point x="20" y="1290" type="line"/>
<point x="20" y="130" type="line"/>
... | cascadia-code/sources/nerdfonts/full/processed/MaterialDesignIconsDesktop.ufo/glyphs/tally-mark-4.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/MaterialDesignIconsDesktop.ufo/glyphs/tally-mark-4.glif",
"repo_id": "cascadia-code",
"token_count": 485
} | 575 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="tent" format="2">
<advance width="1200"/>
<unicode hex="F0508"/>
<note>
tent
</note>
<outline>
<contour>
<point x="134" y="1110"/>
<point x="167" y="1200"/>
<point x="194" y="1233" type="qcurve"/>
<point x="121" y="1233"/>
<po... | cascadia-code/sources/nerdfonts/full/processed/MaterialDesignIconsDesktop.ufo/glyphs/tent.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/MaterialDesignIconsDesktop.ufo/glyphs/tent.glif",
"repo_id": "cascadia-code",
"token_count": 536
} | 576 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="toggle-switch-variant-off" format="2">
<advance width="1200"/>
<unicode hex="F1A26"/>
<note>
toggle-switch-variant-off
</note>
<outline>
<contour>
<point x="150" y="1341"/>
<point x="150" y="1290" type="qcurve" smooth="yes"/>
<point x="15... | cascadia-code/sources/nerdfonts/full/processed/MaterialDesignIconsDesktop.ufo/glyphs/toggle-switch-variant-off.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/MaterialDesignIconsDesktop.ufo/glyphs/toggle-switch-variant-off.glif",
"repo_id": "cascadia-code",
"token_count": 1184
} | 577 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="tooltip-minus" format="2">
<advance width="1200"/>
<unicode hex="F155E"/>
<note>
tooltip-minus
</note>
<outline>
<contour>
<point x="1112" y="1290"/>
<point x="1066" y="1290" type="qcurve" smooth="yes"/>
<point x="134" y="1290" type="line... | cascadia-code/sources/nerdfonts/full/processed/MaterialDesignIconsDesktop.ufo/glyphs/tooltip-minus.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/MaterialDesignIconsDesktop.ufo/glyphs/tooltip-minus.glif",
"repo_id": "cascadia-code",
"token_count": 601
} | 578 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="view-carousel-outline" format="2">
<advance width="1200"/>
<unicode hex="F1486"/>
<note>
view-carousel-outline
</note>
<outline>
<contour>
<point x="20" y="389" type="line"/>
<point x="251" y="389" type="line"/>
<point x="251" y="1029" ty... | cascadia-code/sources/nerdfonts/full/processed/MaterialDesignIconsDesktop.ufo/glyphs/view-carousel-outline.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/MaterialDesignIconsDesktop.ufo/glyphs/view-carousel-outline.glif",
"repo_id": "cascadia-code",
"token_count": 484
} | 579 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="view-sequential" format="2">
<advance width="1200"/>
<unicode hex="F0729"/>
<note>
view-sequential
</note>
<outline>
<contour>
<point x="20" y="903" type="line"/>
<point x="1180" y="903" type="line"/>
<point x="1180" y="1160" type="line"/... | cascadia-code/sources/nerdfonts/full/processed/MaterialDesignIconsDesktop.ufo/glyphs/view-sequential.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/MaterialDesignIconsDesktop.ufo/glyphs/view-sequential.glif",
"repo_id": "cascadia-code",
"token_count": 380
} | 580 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="volcano-outline" format="2">
<advance width="1200"/>
<unicode hex="F1A84"/>
<note>
volcano-outline
</note>
<outline>
<contour>
<point x="1180" y="100" type="line"/>
<point x="949" y="912" type="line"/>
<point x="543" y="912" type="line"/>... | cascadia-code/sources/nerdfonts/full/processed/MaterialDesignIconsDesktop.ufo/glyphs/volcano-outline.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/MaterialDesignIconsDesktop.ufo/glyphs/volcano-outline.glif",
"repo_id": "cascadia-code",
"token_count": 667
} | 581 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="vuejs" format="2">
<advance width="1200"/>
<unicode hex="F0844"/>
<note>
vuejs
</note>
<outline>
<contour>
<point x="600" y="187" type="line"/>
<point x="1180" y="1233" type="line"/>
<point x="978" y="1233" type="line"/>
<point x="6... | cascadia-code/sources/nerdfonts/full/processed/MaterialDesignIconsDesktop.ufo/glyphs/vuejs.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/MaterialDesignIconsDesktop.ufo/glyphs/vuejs.glif",
"repo_id": "cascadia-code",
"token_count": 364
} | 582 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="youtube-gaming" format="2">
<advance width="1200"/>
<unicode hex="F0848"/>
<note>
youtube-gaming
</note>
<outline>
<contour>
<point x="600" y="304" type="line"/>
<point x="1180" y="653" type="line"/>
<point x="1180" y="941" type="line"/>
... | cascadia-code/sources/nerdfonts/full/processed/MaterialDesignIconsDesktop.ufo/glyphs/youtube-gaming.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/MaterialDesignIconsDesktop.ufo/glyphs/youtube-gaming.glif",
"repo_id": "cascadia-code",
"token_count": 882
} | 583 |
<?xml version='1.0' encoding='UTF-8'?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
<key>com.schriftgestaltung.disablesAutomaticAlignment</key>
<false/>
<key>com.schriftgestaltung.fontMasterID</key>
<string>m01</str... | cascadia-code/sources/nerdfonts/full/processed/Unicode_IEC_symbol_font.ufo/lib.plist/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/Unicode_IEC_symbol_font.ufo/lib.plist",
"repo_id": "cascadia-code",
"token_count": 575
} | 584 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="arrow-swap" format="2">
<advance width="1200"/>
<unicode hex="EBCB"/>
<note>
arrow-swap
</note>
<outline>
<contour>
<point x="343" y="183" type="line"/>
<point x="148" y="378" type="line"/>
<point x="1180" y="378" type="line"/>
<poi... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/arrow-swap.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/arrow-swap.glif",
"repo_id": "cascadia-code",
"token_count": 532
} | 585 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="circle-filled" format="2">
<advance width="1200"/>
<unicode hex="EA71"/>
<note>
circle-filled
</note>
<outline>
<contour>
<point x="523" y="1290"/>
<point x="376" y="1251"/>
<point x="306" y="1213" type="qcurve" smooth="yes"/>
<poin... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/circle-filled.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/circle-filled.glif",
"repo_id": "cascadia-code",
"token_count": 623
} | 586 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="combine" format="2">
<advance width="1200"/>
<unicode hex="EBB6"/>
<note>
combine
</note>
<outline>
<contour>
<point x="288" y="1251" type="line"/>
<point x="57" y="1251" type="line"/>
<point x="20" y="1214" type="line"/>
<point x="... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/combine.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/combine.glif",
"repo_id": "cascadia-code",
"token_count": 1522
} | 587 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="device-mobile" format="2">
<advance width="1200"/>
<unicode hex="EADB"/>
<note>
device-mobile
</note>
<outline>
<contour>
<point x="142" y="1371" type="line"/>
<point x="142" y="49" type="line"/>
<point x="191" y="0" type="line"/>
<... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/device-mobile.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/device-mobile.glif",
"repo_id": "cascadia-code",
"token_count": 460
} | 588 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="extensions" format="2">
<advance width="1200"/>
<unicode hex="EAE6"/>
<note>
extensions
</note>
<outline>
<contour>
<point x="673" y="857" type="line"/>
<point x="747" y="783" type="line"/>
<point x="1107" y="783" type="line"/>
<poi... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/extensions.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/extensions.glif",
"repo_id": "cascadia-code",
"token_count": 932
} | 589 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="loading" format="2">
<advance width="1200"/>
<unicode hex="EB19"/>
<note>
loading
</note>
<outline>
<contour>
<point x="1180" y="460" type="line"/>
<point x="1158" y="603"/>
<point x="993" y="830"/>
<point x="743" y="960"/>
<p... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/loading.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/loading.glif",
"repo_id": "cascadia-code",
"token_count": 373
} | 590 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="multiple-windows" format="2">
<advance width="1200"/>
<unicode hex="EB23"/>
<note>
multiple-windows
</note>
<outline>
<contour>
<point x="436" y="958" type="line"/>
<point x="516" y="958" type="line"/>
<point x="516" y="1042" type="line"/... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/multiple-windows.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/multiple-windows.glif",
"repo_id": "cascadia-code",
"token_count": 839
} | 591 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="save-all" format="2">
<advance width="1200"/>
<unicode hex="EB49"/>
<note>
save-all
</note>
<outline>
<contour>
<point x="1180" y="1126" type="line"/>
<point x="1167" y="1153" type="line"/>
<point x="1043" y="1277" type="line"/>
<po... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/save-all.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/save-all.glif",
"repo_id": "cascadia-code",
"token_count": 959
} | 592 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="sort-precedence" format="2">
<advance width="1200"/>
<unicode hex="EB55"/>
<note>
sort-precedence
</note>
<outline>
<contour>
<point x="1100" y="1208" type="line"/>
<point x="516" y="1208" type="line"/>
<point x="436" y="1124" type="line"... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/sort-precedence.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/sort-precedence.glif",
"repo_id": "cascadia-code",
"token_count": 1127
} | 593 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="symbol-event" format="2">
<advance width="1200"/>
<unicode hex="EA86"/>
<note>
symbol-event
</note>
<outline>
<contour>
<point x="156" y="656" type="line"/>
<point x="248" y="509" type="line"/>
<point x="372" y="509" type="line"/>
<... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/symbol-event.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/symbol-event.glif",
"repo_id": "cascadia-code",
"token_count": 506
} | 594 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="symbol-structure" format="2">
<advance width="1200"/>
<unicode hex="EA91"/>
<note>
symbol-structure
</note>
<outline>
<contour>
<point x="1100" y="1208" type="line"/>
<point x="104" y="1208" type="line"/>
<point x="20" y="1124" type="line... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/symbol-structure.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/symbol-structure.glif",
"repo_id": "cascadia-code",
"token_count": 962
} | 595 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="text-size" format="2">
<advance width="1200"/>
<unicode hex="EB69"/>
<note>
text-size
</note>
<outline>
<contour>
<point x="321" y="836" type="line"/>
<point x="215" y="836" type="line"/>
<point x="20" y="336" type="line"/>
<point x... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/text-size.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/text-size.glif",
"repo_id": "cascadia-code",
"token_count": 661
} | 596 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="Arduino" format="2">
<advance width="1200"/>
<unicode hex="F34B"/>
<note>
Arduino
</note>
<outline>
<contour>
<point x="188" y="988"/>
<point x="20" y="824"/>
<point x="20" y="711" type="qcurve" smooth="yes"/>
<point x="20" y="596"/... | cascadia-code/sources/nerdfonts/full/processed/font-logos.ufo/glyphs/A_rduino.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/font-logos.ufo/glyphs/A_rduino.glif",
"repo_id": "cascadia-code",
"token_count": 1667
} | 597 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="Linux Mint (inverse)" format="2">
<advance width="1200"/>
<unicode hex="F30F"/>
<note>
Linux Mint (inverse)
</note>
<outline>
<contour>
<point x="20" y="860" type="line"/>
<point x="156" y="860" type="line"/>
<point x="156" y="792" type="... | cascadia-code/sources/nerdfonts/full/processed/font-logos.ufo/glyphs/L_inux M_int _inverse_.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/font-logos.ufo/glyphs/L_inux M_int _inverse_.glif",
"repo_id": "cascadia-code",
"token_count": 2113
} | 598 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="Snappy" format="2">
<advance width="1200"/>
<unicode hex="F32C"/>
<note>
Snappy
</note>
<outline>
<contour>
<point x="359" y="130"/>
<point x="841" y="130"/>
<point x="1180" y="469"/>
<point x="1180" y="951"/>
<point x="841" y... | cascadia-code/sources/nerdfonts/full/processed/font-logos.ufo/glyphs/S_nappy.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/font-logos.ufo/glyphs/S_nappy.glif",
"repo_id": "cascadia-code",
"token_count": 3508
} | 599 |
<jupyter_start><jupyter_text>An example notebook showing how to train a DECI model on [CSuite](https://github.com/microsoft/csuite) Data.This demonstrates how to assemble the various components of the library and how to perform training.<jupyter_code>import os
from dataclasses import dataclass
import networkx as nx
im... | causica/examples/csuite_example.ipynb/0 | {
"file_path": "causica/examples/csuite_example.ipynb",
"repo_id": "causica",
"token_count": 3431
} | 600 |
from typing import Optional
import torch
import torch.distributions as td
import torch.nn.functional as F
from torch import nn
from torch.distributions.utils import logits_to_probs
from causica.distributions.adjacency.adjacency_distributions import AdjacencyDistribution
from causica.distributions.distribution_module ... | causica/research_experiments/scotch/src/scotch/latent_learning/graph_distribution.py/0 | {
"file_path": "causica/research_experiments/scotch/src/scotch/latent_learning/graph_distribution.py",
"repo_id": "causica",
"token_count": 1766
} | 601 |
from enum import Enum
import torch
class VariableTypeEnum(Enum):
CONTINUOUS = "continuous"
CATEGORICAL = "categorical"
BINARY = "binary"
DTYPE_MAP = {
VariableTypeEnum.CONTINUOUS: torch.float32,
VariableTypeEnum.CATEGORICAL: torch.int32,
VariableTypeEnum.BINARY: torch.int32,
}
| causica/src/causica/datasets/variable_types.py/0 | {
"file_path": "causica/src/causica/datasets/variable_types.py",
"repo_id": "causica",
"token_count": 126
} | 602 |
import abc
from typing import Generic, Optional, TypeVar
import torch
import torch.distributions as td
from causica.distributions.distribution_module import DistributionModule
SampleType = TypeVar("SampleType")
class Noise(Generic[SampleType], abc.ABC, td.Distribution):
"""
Extend Distributions to allow th... | causica/src/causica/distributions/noise/noise.py/0 | {
"file_path": "causica/src/causica/distributions/noise/noise.py",
"repo_id": "causica",
"token_count": 1227
} | 603 |
from typing import Optional
import torch
from tensordict import TensorDict
from causica.functional_relationships.functional_relationships import FunctionalRelationships
class LinearFunctionalRelationships(FunctionalRelationships):
"""
A simple linear functional relationship.
"""
def __init__(
... | causica/src/causica/functional_relationships/linear_functional_relationships.py/0 | {
"file_path": "causica/src/causica/functional_relationships/linear_functional_relationships.py",
"repo_id": "causica",
"token_count": 1314
} | 604 |
import logging
from dataclasses import asdict, is_dataclass
from typing import Any, Mapping, Optional, Sequence, Union
import fsspec
import numpy as np
import pytorch_lightning as pl
import torch
from pytorch_lightning.utilities.types import STEP_OUTPUT
from tensordict import TensorDict
from causica.datasets.causica_... | causica/src/causica/lightning/modules/deci_module.py/0 | {
"file_path": "causica/src/causica/lightning/modules/deci_module.py",
"repo_id": "causica",
"token_count": 6493
} | 605 |
import os
import tempfile
import numpy as np
import pytest
import torch
import torch.distributions as td
from tensordict import TensorDict
from causica.data_generation.generate_data import (
generate_sem_sampler,
get_variable_definitions,
plot_dataset,
sample_counterfactual,
sample_dataset,
sa... | causica/test/data_generation/test_generate_data.py/0 | {
"file_path": "causica/test/data_generation/test_generate_data.py",
"repo_id": "causica",
"token_count": 4695
} | 606 |
"""
Spline Tests - Note these only compare the behaviour to the old behaviour.
TODO(JJ) update these tests to be standalone
"""
from functools import partial
import torch
from causica.distributions.noise.spline import SplineNoiseModule
INPUT_DIM = 4
torch.manual_seed(123)
assert_close = partial(torch.testing.asser... | causica/test/distributions/noise/spline/test_splines.py/0 | {
"file_path": "causica/test/distributions/noise/spline/test_splines.py",
"repo_id": "causica",
"token_count": 311
} | 607 |
import os
import pytest
import torch
from tensordict import TensorDict
from causica.datasets.causica_dataset_format import CAUSICA_DATASETS_PATH, DataEnum, load_data
from causica.datasets.tensordict_utils import tensordict_shapes
from causica.datasets.variable_types import VariableTypeEnum
from causica.distributions ... | causica/test/integration/test_evaluation.py/0 | {
"file_path": "causica/test/integration/test_evaluation.py",
"repo_id": "causica",
"token_count": 1002
} | 608 |
from typing import Callable, List, Tuple, Union
import torch
from torch import nn
from cliffordlayers.nn.modules.gcan import (
CliffordG3Conv2d,
CliffordG3ConvTranspose2d,
CliffordG3GroupNorm,
CliffordG3LinearVSiLU,
CliffordG3SumVSiLU,
CliffordG3MeanVSiLU,
)
def get_activation(activation: st... | cliffordlayers/cliffordlayers/models/gca/twod.py/0 | {
"file_path": "cliffordlayers/cliffordlayers/models/gca/twod.py",
"repo_id": "cliffordlayers",
"token_count": 8054
} | 609 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
from typing import Union
import torch
class CliffordSignature:
def __init__(self, g: Union[tuple, list, torch.Tensor]):
super().__init__()
self.g = self._g_tensor(g)
self.dim = self.g.numel()
if self.dim == ... | cliffordlayers/cliffordlayers/signature.py/0 | {
"file_path": "cliffordlayers/cliffordlayers/signature.py",
"repo_id": "cliffordlayers",
"token_count": 595
} | 610 |
# Clifford models
We provide exemplary 2D and 3D Clifford models as used in the paper.
All these modules are available for different algebras.
## 2D models
The following code snippet initializes a 2D Clifford ResNet.
```python
import torch.nn.functional as F
from cliffordlayers.models.basic.twod import (
Clif... | cliffordlayers/docs/reference/models.md/0 | {
"file_path": "cliffordlayers/docs/reference/models.md",
"repo_id": "cliffordlayers",
"token_count": 1136
} | 611 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import torch
import torch.nn as nn
import torch.nn.functional as F
from cliffordlayers.nn.modules.cliffordconv import (
CliffordConv1d,
CliffordConv2d,
CliffordConv3d,
)
from cliffordlayers.nn.modules.cliffordlinear import CliffordLin... | cliffordlayers/tests/test_clifford_linear.py/0 | {
"file_path": "cliffordlayers/tests/test_clifford_linear.py",
"repo_id": "cliffordlayers",
"token_count": 1404
} | 612 |
.git/
.vscode/
**/README.md
**/*.Dockerfile
**/Dockerfile
client/build/
# DB
db.sqlite
# Libraries
**/SafeMath.sol
**/SignedSafeMath.sol
blockchain_db/
node_modules/
client/node_modules/
# Generated contract configs
client/src/contracts/compiled/*.json
# Previous location before refactor:
client/src/contracts/*.... | 0xDeCA10B/demo/.dockerignore/0 | {
"file_path": "0xDeCA10B/demo/.dockerignore",
"repo_id": "0xDeCA10B",
"token_count": 174
} | 0 |
const axios = require('axios')
const fs = require('fs')
const pjson = require('../package.json')
const { convertData, convertNum } = require('../src/float-utils-node.js')
const CollaborativeTrainer64 = artifacts.require("./CollaborativeTrainer64")
const DataHandler64 = artifacts.require("./data/DataHandler64")
const ... | 0xDeCA10B/demo/client/migrations/4_deploy_hot_dog_classifier.js/0 | {
"file_path": "0xDeCA10B/demo/client/migrations/4_deploy_hot_dog_classifier.js",
"repo_id": "0xDeCA10B",
"token_count": 1319
} | 1 |
pragma solidity ^0.6;
contract Migrations {
address public owner;
uint public last_completed_migration;
modifier restricted() {
if (msg.sender == owner) _;
}
constructor() public {
owner = msg.sender;
}
function setCompleted(uint completed) public restricted {
las... | 0xDeCA10B/demo/client/src/contracts/Migrations.sol/0 | {
"file_path": "0xDeCA10B/demo/client/src/contracts/Migrations.sol",
"repo_id": "0xDeCA10B",
"token_count": 201
} | 2 |
const _toFloat = 1E9
export function convertNum(num, _web3, toFloat = _toFloat) {
// We used to convert to BN here
// but it caused problems and inconsistencies when running tests vs. running in the browser (using MetaMask).
return Math.round(num * toFloat)
}
export function convertToHex(num, web3, toFloat = _toFl... | 0xDeCA10B/demo/client/src/float-utils.js/0 | {
"file_path": "0xDeCA10B/demo/client/src/float-utils.js",
"repo_id": "0xDeCA10B",
"token_count": 212
} | 3 |
/**
* The base class for a model to be deployed to a smart contract.
*/
export class Model {
/**
* @param type The type of model.
*/
constructor(public type: 'naive bayes'
| 'nearest centroid classifier' | 'sparse nearest centroid classifier' | 'dense nearest centroid classifier'
| 'perceptron' | 'dense per... | 0xDeCA10B/demo/client/src/ml-models/model-interfaces.ts/0 | {
"file_path": "0xDeCA10B/demo/client/src/ml-models/model-interfaces.ts",
"repo_id": "0xDeCA10B",
"token_count": 1508
} | 4 |
export const BASE_TITLE = "Sharing Updatable Models (SUM)"
| 0xDeCA10B/demo/client/src/title.js/0 | {
"file_path": "0xDeCA10B/demo/client/src/title.js",
"repo_id": "0xDeCA10B",
"token_count": 19
} | 5 |
const path = require('path')
// Use NODE_ENVIRONMENT if set but remove . before it if production.
const env = process.env.NODE_ENVIRONMENT
let suffix = '.development'
if (env === 'production') {
suffix = ''
} else if (env !== undefined) {
suffix = `.${env}`
}
require('dotenv').config({ path: path.resolve(__dirname, ... | 0xDeCA10B/demo/client/truffle.js/0 | {
"file_path": "0xDeCA10B/demo/client/truffle.js",
"repo_id": "0xDeCA10B",
"token_count": 438
} | 6 |
from dataclasses import dataclass, field
from logging import Logger
from typing import List
import numpy as np
from injector import inject, Module
from sklearn.utils import shuffle
from tqdm import trange
from .data_loader import DataLoader
@inject
@dataclass
class TicTacToeDataLoader(DataLoader):
"""
Load ... | 0xDeCA10B/simulation/decai/simulation/data/ttt_data_loader.py/0 | {
"file_path": "0xDeCA10B/simulation/decai/simulation/data/ttt_data_loader.py",
"repo_id": "0xDeCA10B",
"token_count": 2697
} | 7 |
pendulum-apex-ddpg:
env: Pendulum-v0
run: APEX_DDPG
stop:
episode_reward_mean: -160
config:
# Works for both torch and tf.
framework: tf
use_huber: True
clip_rewards: False
num_workers: 4
n_step: 1
target_network_update_freq: 50000
... | AI-System/Labs/AdvancedLabs/Lab9/config/pendulum-apex-ddpg-16.yaml/0 | {
"file_path": "AI-System/Labs/AdvancedLabs/Lab9/config/pendulum-apex-ddpg-16.yaml",
"repo_id": "AI-System",
"token_count": 205
} | 8 |
# Setup Environment
## 实验环境要求
### 操作系统
`Ubuntu 18.04 LTS x86_64`
### 编程语言
`python3.7.6` (`Anaconda3`环境)
### 学习框架
`PyTorch==1.7.0`
### 硬件环境
单GPU（with CUDA 10.1）
## 实验环境搭建
### 安装anaconda3
安装教程：https://docs.anaconda.com/anaconda/install/linux/#installation
下载地址：https://www.anaconda.com/distribution/#linux
1... | AI-System/Labs/BasicLabs/Lab2/setup.md/0 | {
"file_path": "AI-System/Labs/BasicLabs/Lab2/setup.md",
"repo_id": "AI-System",
"token_count": 1123
} | 9 |
# Owner每当发现一种错误可以补充检查规则进而检查类似问题
# 模板标准检查
# 1 图号递增
# 2 章节号递增
# 3 应有章节和命名
# 术语表检查
# 中英文标点符号检查
# 英文大小写检查
# 中文多余空格检查
# 缩进检查
# 中文语法纠错
| AI-System/Textbook/src/Checker.py/0 | {
"file_path": "AI-System/Textbook/src/Checker.py",
"repo_id": "AI-System",
"token_count": 239
} | 10 |
<!--Copyright © Microsoft Corporation. All rights reserved.
适用于[License](https://github.com/microsoft/AI-System/blob/main/LICENSE)版权许可-->
## 2.5 深度神经网络
本小节主要围绕，深度神经网络，权重矩阵初始化，批量归一化，过拟合内容进行介绍。
- [2.5 深度神经网络](#25-深度神经网络)
- [2.5.1 抽象与设计](#251-抽象与设计)
- [2.5.2 权重矩阵初始化](#252-权重矩阵初始化)
- [零初始化](#零初始化)
- [标准初始化... | AI-System/Textbook/第2章-神经网络基础/2.5-深度神经网络.md/0 | {
"file_path": "AI-System/Textbook/第2章-神经网络基础/2.5-深度神经网络.md",
"repo_id": "AI-System",
"token_count": 10128
} | 11 |
<!--Copyright © Microsoft Corporation. All rights reserved.
适用于[License](https://github.com/microsoft/AI-System/blob/main/LICENSE)版权许可-->
# 5.5 跨算子的全局调度优化
- [5.5 跨算子的全局调度优化](#55-跨算子的全局调度优化)
- [5.5.1 任意算子的融合](#551-任意算子的融合)
- [5.5.2 编译时全局算子调度](#552编译时全局算子调度)
- [小结与讨论](#小结与讨论)
- [参考文献](#参考文献)
前面的优化和算子生成分别在计... | AI-System/Textbook/第5章-深度学习框架的编译与优化/5.5-算子调度优化.md/0 | {
"file_path": "AI-System/Textbook/第5章-深度学习框架的编译与优化/5.5-算子调度优化.md",
"repo_id": "AI-System",
"token_count": 3821
} | 12 |
<!--Copyright © Microsoft Corporation. All rights reserved.
适用于[License](https://github.com/microsoft/AI-System/blob/main/LICENSE)版权许可-->
# 深度学习推理系统 (Deep Learning Inference Systems)
# 简介
推理系统（Inference System）是用于部署人工智能模型，执行推理预测任务的人工智能系统，类似传统 Web 服务或移动端应用系统的作用。通过推理系统，可以将深度学习模型部署到云（Cloud）端或者边缘（Edge）端，并服务和处理用户的请求。... | AI-System/Textbook/第8章-深度学习推理系统/8-前言.md/0 | {
"file_path": "AI-System/Textbook/第8章-深度学习推理系统/8-前言.md",
"repo_id": "AI-System",
"token_count": 1282
} | 13 |
parameters:
Agent: Hosted Ubuntu 1604
stageName: 'defaultStageName'
jobDisplayName: 'defaultDisplayName'
jobTimeoutInMinutes: 180
TridentWorkloadTypeShort: #
DeployLocation: #
TestPostfix: # "" | "-release" | "-preview"
Deploy_Location_Short: #
DefaultWorkingDirectory: #
Template: #
azureSubscript... | AI/.ci/stage/deploy_notebooks_stage.yml/0 | {
"file_path": "AI/.ci/stage/deploy_notebooks_stage.yml",
"repo_id": "AI",
"token_count": 780
} | 14 |
parameters:
azureSubscription: ''
azure_subscription: ''
location: submodules/DeployDeepModelKubernetes/{{cookiecutter.project_name}}/Keras_Tensorflow
azureresourcegroup: dcibhpdl
workspacename: dcibhpwsdl
azureregion: westus2
aksimagename: dcibhpaksdl
aks_name: dcibhpaksdl
aks_service_name: dcibhpa... | AI/.ci/steps/DLAKSDeployAMLJob.yml/0 | {
"file_path": "AI/.ci/steps/DLAKSDeployAMLJob.yml",
"repo_id": "AI",
"token_count": 1285
} | 15 |
parameters:
azureSubscription: 'AICAT-VB-E2E (989b90f7-da4f-41f9-84c9-44848802052d)'
conda: MLAKSDeployAML
azureresourcegroup: "-"
doCleanup : true
steps:
- task: AzureCLI@1
displayName: "Cleanup Task"
condition: and(always(), eq('${{parameters.doCleanup}}','true'))
inputs:
azureSubscription: ${{pa... | AI/.ci/steps/cleanuptask.yml/0 | {
"file_path": "AI/.ci/steps/cleanuptask.yml",
"repo_id": "AI",
"token_count": 299
} | 16 |
variables:
TridentWorkloadTypeShort: aidlrts
DeployLocation: eastus
ProjectLocation: "{{cookiecutter.project_name}}/Keras_Tensorflow"
PythonPath: /{{cookiecutter.project_name}}/Keras_Tensorflow
Template: DLAKSDeployAMLJob.yml
| AI/.ci/vars/dl_realtime_scoring.yml/0 | {
"file_path": "AI/.ci/vars/dl_realtime_scoring.yml",
"repo_id": "AI",
"token_count": 83
} | 17 |
mkdir ../data/raw_data/
cd ../data/raw_data/
# download MSMARCO passage data
wget https://msmarco.blob.core.windows.net/msmarcoranking/collectionandqueries.tar.gz
tar -zxvf collectionandqueries.tar.gz
rm collectionandqueries.tar.gz
wget https://msmarco.blob.core.windows.net/msmarcoranking/msmarco-passagetest2019-top1... | ANCE/commands/data_download.sh/0 | {
"file_path": "ANCE/commands/data_download.sh",
"repo_id": "ANCE",
"token_count": 844
} | 18 |
This repository provides the fine-tuning stage on Marco ranking task for [SEED-Encoder](https://arxiv.org/abs/2102.09206) and is based on ANCE (https://github.com/microsoft/ANCE).
# Requirements and Installation
* [PyTorch](http://pytorch.org/) version >= 1.4.0
* Python version >= 3.6
## Requirements
To install req... | ANCE/model/SEED_Encoder/SEED-Encoder.md/0 | {
"file_path": "ANCE/model/SEED_Encoder/SEED-Encoder.md",
"repo_id": "ANCE",
"token_count": 2893
} | 19 |
"""
This is official eval script opensourced on MSMarco site (not written or owned by us)
This module computes evaluation metrics for MSMARCO dataset on the ranking task.
Command line:
python msmarco_eval_ranking.py <path_to_reference_file> <path_to_candidate_file>
Creation Date : 06/12/2018
Last Modified : 1/21/2019... | ANCE/utils/msmarco_eval.py/0 | {
"file_path": "ANCE/utils/msmarco_eval.py",
"repo_id": "ANCE",
"token_count": 3200
} | 20 |
"""
Code for self-training with weak supervision.
Author: Giannis Karamanolakis (gkaraman@cs.columbia.edu)
"""
import json
import os
import glob
import numpy as np
import joblib
from collections import defaultdict
#import matplotlib.pyplot as plt
# Help functions used in main.py
def to_one_hot(x, num_classes):
... | ASTRA/astra/utils.py/0 | {
"file_path": "ASTRA/astra/utils.py",
"repo_id": "ASTRA",
"token_count": 7622
} | 21 |
{
"entries": [
{
"1": {
"category": "Airport",
"dbpedialinks": [],
"lexicalisations": [
{
"comment": "good",
"lang": "",
"lex": "The leader of Aarhus is Jac... | AdaMix/NLG/data/webnlg_challenge_2017/dev.json/0 | {
"file_path": "AdaMix/NLG/data/webnlg_challenge_2017/dev.json",
"repo_id": "AdaMix",
"token_count": 1810930
} | 22 |
. ./venv/bin/activate
sudo apt install default-jre -y
seed=110
n_experts=8
vv=lora_adamix
while [[ $# -gt 0 ]]
do
key="$1"
case $key in
--seed)
seed=$2
shift
shift
;;
--n_experts)
n_experts=$2
shift
shift
;;
--vv)
vv=$2
shift
shift
;;
esac
done
python -m to... | AdaMix/NLG/run_eval_webnlg.sh/0 | {
"file_path": "AdaMix/NLG/run_eval_webnlg.sh",
"repo_id": "AdaMix",
"token_count": 718
} | 23 |
# ------------------------------------------------------------------------------------------
# Copyright (c). All rights reserved.
# Licensed under the MIT License (MIT). See LICENSE in the repo root for license information.
# -----------------------------------------------------------------------------------------... | AdaMix/NLG/src/format_converting_webnlg.py/0 | {
"file_path": "AdaMix/NLG/src/format_converting_webnlg.py",
"repo_id": "AdaMix",
"token_count": 994
} | 24 |
export num_gpus=1
export CUBLAS_WORKSPACE_CONFIG=":16:8" # https://docs.nvidia.com/cuda/cublas/index.html#cublasApi_reproducibility
export PYTHONHASHSEED=0
task_name=mnli
model=bert-base-uncased
export output_dir="./models/${model}/${task_name}"
python -m torch.distributed.launch --nproc_per_node=$num_gpus \
examples/t... | AdaMix/bert_base_mnli_expert_soup.sh/0 | {
"file_path": "AdaMix/bert_base_mnli_expert_soup.sh",
"repo_id": "AdaMix",
"token_count": 403
} | 25 |
..
Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by ... | AdaMix/docs/source/internal/generation_utils.rst/0 | {
"file_path": "AdaMix/docs/source/internal/generation_utils.rst",
"repo_id": "AdaMix",
"token_count": 1987
} | 26 |
<!---
Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or ... | AdaMix/docs/source/migration.md/0 | {
"file_path": "AdaMix/docs/source/migration.md",
"repo_id": "AdaMix",
"token_count": 4313
} | 27 |
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