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="pumpkin" format="2">
<advance width="1200"/>
<unicode hex="F0BBF"/>
<note>
pumpkin
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<outline>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="relation-one-or-many-to-one-or-many" format="2">
<advance width="1200"/>
<unicode hex="F149E"/>
<note>
relation-one-or-many-to-one-or-many
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<outline>
<contour>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="room-service" format="2">
<advance width="1200"/>
<unicode hex="F088D"/>
<note>
room-service
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<outline>
<contour>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="routes" format="2">
<advance width="1200"/>
<unicode hex="F046A"/>
<note>
routes
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="send-outline" format="2">
<advance width="1200"/>
<unicode hex="F1165"/>
<note>
send-outline
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<outline>
<contour>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="sign-caution" format="2">
<advance width="1200"/>
<unicode hex="F04A1"/>
<note>
sign-caution
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="signal-distance-variant" format="2">
<advance width="1200"/>
<unicode hex="F0E64"/>
<note>
signal-distance-variant
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<contour>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="skip-next-circle-outline" format="2">
<advance width="1200"/>
<unicode hex="F0662"/>
<note>
skip-next-circle-outline
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<outline>
<contour>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="sort-alphabetical-descending-variant" format="2">
<advance width="1200"/>
<unicode hex="F1149"/>
<note>
sort-alphabetical-descending-variant
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<outline>
<contour>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="spellcheck" format="2">
<advance width="1200"/>
<unicode hex="F04C6"/>
<note>
spellcheck
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="square-small" format="2">
<advance width="1200"/>
<unicode hex="F0A15"/>
<note>
square-small
</note>
<outline>
<contour>
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... | cascadia-code/sources/nerdfonts/full/processed/MaterialDesignIconsDesktop.ufo/glyphs/square-small.glif/0 | {
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="star-half" format="2">
<advance width="1200"/>
<unicode hex="F0246"/>
<note>
star-half
</note>
<outline>
<contour>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="star" format="2">
<advance width="1200"/>
<unicode hex="F04CE"/>
<note>
star
</note>
<outline>
<contour>
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<point x="959" y="159" type="line"/>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="stop" format="2">
<advance width="1200"/>
<unicode hex="F04DB"/>
<note>
stop
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<outline>
<contour>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="tag-arrow-up" format="2">
<advance width="1200"/>
<unicode hex="F1731"/>
<note>
tag-arrow-up
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<outline>
<contour>
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<point x="1147" y="735" type="qcurve" smooth="yes"/>
<point x="625" y="1257" type="line" sm... | cascadia-code/sources/nerdfonts/full/processed/MaterialDesignIconsDesktop.ufo/glyphs/tag-arrow-up.glif/0 | {
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="text-long" format="2">
<advance width="1200"/>
<unicode hex="F09AA"/>
<note>
text-long
</note>
<outline>
<contour>
<point x="20" y="1073" type="line"/>
<point x="1180" y="1073" type="line"/>
<point x="1180" y="1215" type="line"/>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="transfer-down" format="2">
<advance width="1200"/>
<unicode hex="F0DA1"/>
<note>
transfer-down
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<outline>
<contour>
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<point x="302" y="1269" type="line"/>
<point x="898" y="1269" type="line"/>
... | cascadia-code/sources/nerdfonts/full/processed/MaterialDesignIconsDesktop.ufo/glyphs/transfer-down.glif/0 | {
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"repo_id": "cascadia-code",
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} | 1,127 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="transmission-tower-import" format="2">
<advance width="1200"/>
<unicode hex="F192D"/>
<note>
transmission-tower-import
</note>
<outline>
<contour>
<point x="605" y="1132" type="line"/>
<point x="921" y="1132" type="line"/>
<point x="960" ... | cascadia-code/sources/nerdfonts/full/processed/MaterialDesignIconsDesktop.ufo/glyphs/transmission-tower-import.glif/0 | {
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"repo_id": "cascadia-code",
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} | 1,128 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="vector-polygon" format="2">
<advance width="1200"/>
<unicode hex="F0560"/>
<note>
vector-polygon
</note>
<outline>
<contour>
<point x="369" y="1290" type="line"/>
<point x="20" y="1290" type="line"/>
<point x="20" y="941" type="line"/>
... | cascadia-code/sources/nerdfonts/full/processed/MaterialDesignIconsDesktop.ufo/glyphs/vector-polygon.glif/0 | {
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="video-image" format="2">
<advance width="1200"/>
<unicode hex="F091A"/>
<note>
video-image
</note>
<outline>
<contour>
<point x="923" y="1033" type="line" smooth="yes"/>
<point x="923" y="1060"/>
<point x="884" y="1097"/>
<point x="... | cascadia-code/sources/nerdfonts/full/processed/MaterialDesignIconsDesktop.ufo/glyphs/video-image.glif/0 | {
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"repo_id": "cascadia-code",
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="view-compact-outline" format="2">
<advance width="1200"/>
<unicode hex="F0E6C"/>
<note>
view-compact-outline
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<outline>
<contour>
<point x="1180" y="1137" type="line"/>
<point x="20" y="1137" type="line"/>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="view-headline" format="2">
<advance width="1200"/>
<unicode hex="F0571"/>
<note>
view-headline
</note>
<outline>
<contour>
<point x="1180" y="1186" type="line"/>
<point x="20" y="1186" type="line"/>
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... | cascadia-code/sources/nerdfonts/full/processed/MaterialDesignIconsDesktop.ufo/glyphs/view-headline.glif/0 | {
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="volume-minus" format="2">
<advance width="1200"/>
<unicode hex="F075E"/>
<note>
volume-minus
</note>
<outline>
<contour>
<point x="20" y="527" type="line"/>
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<point x="570" y="220" type="line"/>
<... | cascadia-code/sources/nerdfonts/full/processed/MaterialDesignIconsDesktop.ufo/glyphs/volume-minus.glif/0 | {
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="window-open-variant" format="2">
<advance width="1200"/>
<unicode hex="F11DC"/>
<note>
window-open-variant
</note>
<outline>
<contour>
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<?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.appVersion</key>
<string>3241</string>
<key>com.schriftgestaltung.disablesAutomaticAlignment</key>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="add" format="2">
<advance width="1200"/>
<unicode hex="EA60"/>
<note>
add
</note>
<outline>
<contour>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="check" format="2">
<advance width="1200"/>
<unicode hex="EAB2"/>
<note>
check
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<outline>
<contour>
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<point x="368" y="328" type="line"/>
<point x="93" y="715" type="line"/>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="clear-all" format="2">
<advance width="1200"/>
<unicode hex="EABF"/>
<note>
clear-all
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<outline>
<contour>
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<?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>account</key>
<string>account.glif</string>
<key>activate-breakpoints</key>
<string>activate-breakpoints.glif</string>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="debug-breakpoint-log" format="2">
<advance width="1200"/>
<unicode hex="EAAB"/>
<note>
debug-breakpoint-log
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<outline>
<contour>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="debug-start" format="2">
<advance width="1200"/>
<unicode hex="EAD3"/>
<note>
debug-start
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="diff" format="2">
<advance width="1200"/>
<unicode hex="EAE1"/>
<note>
diff
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="folder-opened" format="2">
<advance width="1200"/>
<unicode hex="EAF7"/>
<note>
folder-opened
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<outline>
<contour>
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} | 1,143 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="inspect" format="2">
<advance width="1200"/>
<unicode hex="EBD1"/>
<note>
inspect
</note>
<outline>
<contour>
<point x="20" y="529" type="line"/>
<point x="100" y="449" type="line"/>
<point x="491" y="449" type="line"/>
<point x="49... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/inspect.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/inspect.glif",
"repo_id": "cascadia-code",
"token_count": 562
} | 1,144 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="mail" format="2">
<advance width="1200"/>
<unicode hex="EB1C"/>
<note>
mail
</note>
<outline>
<contour>
<point x="20" y="338" type="line"/>
<point x="60" y="294" type="line"/>
<point x="1140" y="294" type="line"/>
<point x="1180" y=... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/mail.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/mail.glif",
"repo_id": "cascadia-code",
"token_count": 475
} | 1,145 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="note" format="2">
<advance width="1200"/>
<unicode hex="EB26"/>
<note>
note
</note>
<outline>
<contour>
<point x="20" y="1124" type="line"/>
<point x="20" y="296" type="line"/>
<point x="60" y="252" type="line"/>
<point x="1140" y="... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/note.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/note.glif",
"repo_id": "cascadia-code",
"token_count": 649
} | 1,146 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="request-changes" format="2">
<advance width="1200"/>
<unicode hex="EB43"/>
<note>
request-changes
</note>
<outline>
<contour>
<point x="1180" y="1246" type="line"/>
<point x="1140" y="1286" type="line"/>
<point x="60" y="1286" type="line"... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/request-changes.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/request-changes.glif",
"repo_id": "cascadia-code",
"token_count": 901
} | 1,147 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="search" format="2">
<advance width="1200"/>
<unicode hex="EA6D"/>
<note>
search
</note>
<outline>
<contour>
<point x="755" y="1326" type="qcurve"/>
<point x="755" y="1326" type="line"/>
<point x="627" y="1326"/>
<point x="417" y="11... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/search.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/search.glif",
"repo_id": "cascadia-code",
"token_count": 645
} | 1,148 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="star-full" format="2">
<advance width="1200"/>
<unicode hex="EB59"/>
<note>
star-full
</note>
<outline>
<contour>
<point x="1180" y="856" type="line"/>
<point x="733" y="856" type="line"/>
<point x="600" y="1290" type="line"/>
<poin... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/star-full.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/star-full.glif",
"repo_id": "cascadia-code",
"token_count": 302
} | 1,149 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="symbol-method" format="2">
<advance width="1200"/>
<unicode hex="EA8C"/>
<note>
symbol-method
</note>
<outline>
<contour>
<point x="1180" y="1001" type="line"/>
<point x="1128" y="1084" type="line"/>
<point x="649" y="1372" type="line"/>
... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/symbol-method.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/symbol-method.glif",
"repo_id": "cascadia-code",
"token_count": 643
} | 1,150 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="tasklist" format="2">
<advance width="1200"/>
<unicode hex="EB67"/>
<note>
tasklist
</note>
<outline>
<contour>
<point x="171" y="739" type="line"/>
<point x="233" y="734" type="line"/>
<point x="706" y="1146" type="line"/>
<point x... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/tasklist.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/tasklist.glif",
"repo_id": "cascadia-code",
"token_count": 536
} | 1,151 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="triangle-down" format="2">
<advance width="1200"/>
<unicode hex="EB6E"/>
<note>
triangle-down
</note>
<outline>
<contour>
<point x="551" y="421" type="line"/>
<point x="634" y="421" type="line"/>
<point x="1180" y="947" type="line"/>
... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/triangle-down.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/triangle-down.glif",
"repo_id": "cascadia-code",
"token_count": 223
} | 1,152 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="versions" format="2">
<advance width="1200"/>
<unicode hex="EB78"/>
<note>
versions
</note>
<outline>
<contour>
<point x="1100" y="1126" type="line"/>
<point x="600" y="1126" type="line"/>
<point x="516" y="1042" type="line"/>
<poin... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/versions.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/versions.glif",
"repo_id": "cascadia-code",
"token_count": 837
} | 1,153 |
<?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>ascender</key>
<integer>480</integer>
<key>capHeight</key>
<integer>0</integer>
<key>descender</key>
<integer>-32</int... | cascadia-code/sources/nerdfonts/full/processed/font-awesome-extension.ufo/fontinfo.plist/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/font-awesome-extension.ufo/fontinfo.plist",
"repo_id": "cascadia-code",
"token_count": 1192
} | 1,154 |
<?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>apple-fruit</key>
<string>apple-fruit.glif</string>
<key>atom</key>
<string>atom.glif</string>
<key>bacteria</key>
<st... | cascadia-code/sources/nerdfonts/full/processed/font-awesome-extension.ufo/glyphs/contents.plist/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/font-awesome-extension.ufo/glyphs/contents.plist",
"repo_id": "cascadia-code",
"token_count": 4852
} | 1,155 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="dwm" format="2">
<advance width="1200"/>
<unicode hex="F356"/>
<note>
dwm
</note>
<outline>
<contour>
<point x="20" y="468" type="line"/>
<point x="117" y="468" type="line"/>
<point x="117" y="662" type="line"/>
<point x="310" y="66... | cascadia-code/sources/nerdfonts/full/processed/font-logos.ufo/glyphs/dwm.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/font-logos.ufo/glyphs/dwm.glif",
"repo_id": "cascadia-code",
"token_count": 659
} | 1,156 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="i_seti_npm" format="2">
<advance width="1200"/>
<unicode hex="E616"/>
<note>
i_seti_npm
</note>
<outline>
<contour>
<point x="1180" y="937" type="line"/>
<point x="20" y="937" type="line"/>
<point x="20" y="551" type="line"/>
<point... | cascadia-code/sources/nerdfonts/full/processed/original-source.ufo/glyphs/i_seti_npm.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/original-source.ufo/glyphs/i_seti_npm.glif",
"repo_id": "cascadia-code",
"token_count": 1060
} | 1,157 |
<?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.appVersion</key>
<string>3241</string>
<key>com.schriftgestaltung.disablesAutomaticAlignment</key>
<fals... | cascadia-code/sources/nerdfonts/full/processed/original-source.ufo/lib.plist/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/original-source.ufo/lib.plist",
"repo_id": "cascadia-code",
"token_count": 10162
} | 1,158 |
# syntax=docker/dockerfile:1
FROM mcr.microsoft.com/azureml/openmpi4.1.0-cuda11.8-cudnn8-ubuntu22.04@sha256:fb6968427928df5d38a88b736f47f45f640eb874277678ea91a8a34649d9792d as base
USER root
# remove the unused conda environments
RUN conda install anaconda-clean && \
anaconda-clean -y && \
rm -rf /opt/minico... | causica/Dockerfile/0 | {
"file_path": "causica/Dockerfile",
"repo_id": "causica",
"token_count": 1138
} | 1,159 |
[tool.poetry]
name = "scotch"
version = "0.1.0"
description = "Neural structure learning with stochastic differential equations"
readme = "README.md"
authors = ["Benjie Wang", "Joel Jennings", "Wenbo Gong"]
packages = [
{ include = "scotch", from = "src" }
]
license = "MIT"
[tool.poetry.dependencies]
python = "~3.... | causica/research_experiments/scotch/pyproject.toml/0 | {
"file_path": "causica/research_experiments/scotch/pyproject.toml",
"repo_id": "causica",
"token_count": 198
} | 1,160 |
from dataclasses import dataclass, field
import torch
from tensordict import TensorDictBase
from causica.datasets.causica_dataset_format import CounterfactualWithEffects, InterventionWithEffects
@dataclass
class CausalDataset:
"""Dataclass for storing a causal dataset.
Args:
observations: TensorDic... | causica/src/causica/datasets/causal_dataset.py/0 | {
"file_path": "causica/src/causica/datasets/causal_dataset.py",
"repo_id": "causica",
"token_count": 945
} | 1,161 |
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/src/causica/distributions/adjacency/enco.py/0 | {
"file_path": "causica/src/causica/distributions/adjacency/enco.py",
"repo_id": "causica",
"token_count": 3344
} | 1,162 |
from pathlib import Path
from tempfile import TemporaryDirectory
from typing import Any, Optional
import mlflow
import pytorch_lightning as pl
import torch
from pytorch_lightning.cli import LightningArgumentParser, Namespace, SaveConfigCallback
from pytorch_lightning.trainer.states import TrainerFn
from pytorch_lightn... | causica/src/causica/lightning/callbacks.py/0 | {
"file_path": "causica/src/causica/lightning/callbacks.py",
"repo_id": "causica",
"token_count": 2263
} | 1,163 |
import pytest
import torch
from tensordict import TensorDict, TensorDictBase
from causica.datasets.tensordict_utils import expand_tensordict_groups, tensordict_shapes, unbind_values, unbound_items
def _assert_tensordict_allclose(a: TensorDictBase, b: TensorDictBase) -> None:
paired_items = zip(
a.items(i... | causica/test/datasets/test_tensordict_utils.py/0 | {
"file_path": "causica/test/datasets/test_tensordict_utils.py",
"repo_id": "causica",
"token_count": 2023
} | 1,164 |
from pathlib import Path
import mlflow
from causica.lightning.loggers import BufferingMlFlowLogger
def test_buffering_mlflow_logger(tmp_path: Path):
mlflow.set_tracking_uri(tmp_path)
client = mlflow.tracking.MlflowClient(tracking_uri=str(tmp_path))
experiment_id = client.create_experiment("test")
ru... | causica/test/lightning/test_loggers.py/0 | {
"file_path": "causica/test/lightning/test_loggers.py",
"repo_id": "causica",
"token_count": 317
} | 1,165 |
"""Inspired by https://github.com/pygae/clifford"""
import functools
import itertools
import operator
import torch
# copied from the itertools docs
def _powerset(iterable):
"powerset([1,2,3]) --> () (1,) (2,) (3,) (1,2) (1,3) (2,3) (1,2,3)"
s = list(iterable)
return itertools.chain.from_iterable(itertool... | cliffordlayers/cliffordlayers/basisbladeorder.py/0 | {
"file_path": "cliffordlayers/cliffordlayers/basisbladeorder.py",
"repo_id": "cliffordlayers",
"token_count": 1575
} | 1,166 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
from typing import Optional, Union
import torch
import torch.nn as nn
from .batchnorm import clifford_batch_norm, complex_batch_norm
def complex_group_norm(
x: torch.Tensor,
num_groups: int = 1,
running_mean: Optional[torch.Tensor... | cliffordlayers/cliffordlayers/nn/functional/groupnorm.py/0 | {
"file_path": "cliffordlayers/cliffordlayers/nn/functional/groupnorm.py",
"repo_id": "cliffordlayers",
"token_count": 3745
} | 1,167 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import torch
import torch.nn.functional as F
from cliffordlayers.models.utils import partialclass
from cliffordlayers.models.basic.twod import (
CliffordFluidNet2d,
CliffordBasicBlock2d,
CliffordFourierBasicBlock2d,
)
def test_cliff... | cliffordlayers/tests/test_CliffordFluidNet2d.py/0 | {
"file_path": "cliffordlayers/tests/test_CliffordFluidNet2d.py",
"repo_id": "cliffordlayers",
"token_count": 2186
} | 1,168 |
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
from starlette.testclient import TestClient
from app.api import app
def test_docs_redirect():
client = TestClient(app)
response = client.get("/")
assert response.history[0].status_code == 302
assert response... | cookiecutter-spacy-fastapi/{{cookiecutter.project_slug}}/app/tests/test_api.py/0 | {
"file_path": "cookiecutter-spacy-fastapi/{{cookiecutter.project_slug}}/app/tests/test_api.py",
"repo_id": "cookiecutter-spacy-fastapi",
"token_count": 455
} | 1,169 |
# This file is in the root folder for VS Code.
# Abstract contracts do not work yet: https://github.com/duaraghav8/Ethlint/issues/281
# grep -R --files-with-matches '^abstract contract' client/src/contracts/
client/src/contracts/classification/Classifier.sol
client/src/contracts/incentive/IncentiveMechanism.sol
| 0xDeCA10B/demo/.soliumignore/0 | {
"file_path": "0xDeCA10B/demo/.soliumignore",
"repo_id": "0xDeCA10B",
"token_count": 100
} | 0 |
{
"short_name": "React App",
"name": "Create React App Sample",
"icons": [
{
"src": "favicon.ico",
"sizes": "64x64 32x32 24x24 16x16",
"type": "image/x-icon"
}
],
"start_url": "./index.html",
"display": "standalone",
"theme_color": "#000000",
"background_color": "#ffffff"
}
| 0xDeCA10B/demo/client/public/manifest.json/0 | {
"file_path": "0xDeCA10B/demo/client/public/manifest.json",
"repo_id": "0xDeCA10B",
"token_count": 145
} | 1 |
pragma solidity ^0.6;
pragma experimental ABIEncoderV2;
import "../../../lib/Math.sol";
import {Classifier64} from "./Classifier.sol";
/**
* A nearest centroid classifier that uses Euclidean distance to predict the closest centroid.
*
* https://en.wikipedia.org/wiki/Nearest_centroid_classifier
*/
contract Neares... | 0xDeCA10B/demo/client/src/contracts/classification/NearestCentroidClassifier.sol/0 | {
"file_path": "0xDeCA10B/demo/client/src/contracts/classification/NearestCentroidClassifier.sol",
"repo_id": "0xDeCA10B",
"token_count": 2352
} | 2 |
global.fetch = require('node-fetch')
const UniversalSentenceEncoder = require('@tensorflow-models/universal-sentence-encoder')
const tf = require('@tensorflow/tfjs')
const fs = require('fs')
const path = require('path')
const dataPath = '../../../nlu-benchmark/2017-06-custom-intent-engines'
const intents = {
'GetWeat... | 0xDeCA10B/demo/client/src/ml-models/vpa/train-classifier.js/0 | {
"file_path": "0xDeCA10B/demo/client/src/ml-models/vpa/train-classifier.js",
"repo_id": "0xDeCA10B",
"token_count": 2351
} | 3 |
This folder is just for smart contract tests and is used by Truffle.
Other test files go in a `__tests__` folder in the folder with the source code (within the `src/` folder).
`custom-test-env.js` is not a test file.
It is a custom environment for Jest and is in this folder so that it is not picked up by default test ... | 0xDeCA10B/demo/client/test/README.md/0 | {
"file_path": "0xDeCA10B/demo/client/test/README.md",
"repo_id": "0xDeCA10B",
"token_count": 91
} | 4 |
set -e
if [ "${1}" == "--fix" ]; then
is_fix="true"
# Not ready yet:
# eslint . --fix --ext .js,.jsx,.ts,.tsx
# Some files are ready.
eslint --fix server.js
eslint . --fix --ext .ts,.tsx
solium --dir client/src/contracts/ --fix
else
# Not ready yet:
# eslint . --ext .js,.jsx,.ts,.tsx
# Some files are ready.
... | 0xDeCA10B/demo/scripts/custom_lint.sh/0 | {
"file_path": "0xDeCA10B/demo/scripts/custom_lint.sh",
"repo_id": "0xDeCA10B",
"token_count": 353
} | 5 |
from dataclasses import dataclass, field
from logging import Logger
from typing import Dict
from injector import inject, singleton
from decai.simulation.contract.objects import Address
@inject
@singleton
@dataclass
class Balances(object):
"""
Tracks balances in the simulation.
"""
_logger: Logger
... | 0xDeCA10B/simulation/decai/simulation/contract/balances.py/0 | {
"file_path": "0xDeCA10B/simulation/decai/simulation/contract/balances.py",
"repo_id": "0xDeCA10B",
"token_count": 805
} | 6 |
import random
from collections import Counter, defaultdict
from dataclasses import dataclass, field
from enum import Enum
from hashlib import sha256
from logging import Logger
from typing import Dict, List, Optional, Tuple
import math
import numpy as np
from injector import ClassAssistedBuilder, inject, Module, provid... | 0xDeCA10B/simulation/decai/simulation/contract/incentive/prediction_market.py/0 | {
"file_path": "0xDeCA10B/simulation/decai/simulation/contract/incentive/prediction_market.py",
"repo_id": "0xDeCA10B",
"token_count": 9560
} | 7 |
import unittest
import numpy as np
import scipy.sparse
from injector import Injector
from decai.simulation.data.featuremapping.feature_index_mapper import FeatureIndexMapper
from decai.simulation.logging_module import LoggingModule
class TestFeatureIndexMapper(unittest.TestCase):
@classmethod
def setUpClass... | 0xDeCA10B/simulation/decai/simulation/data/featuremapping/tests/test_feature_index_mapper.py/0 | {
"file_path": "0xDeCA10B/simulation/decai/simulation/data/featuremapping/tests/test_feature_index_mapper.py",
"repo_id": "0xDeCA10B",
"token_count": 999
} | 8 |
import os
import re
import sys
from injector import Injector
from sklearn.naive_bayes import MultinomialNB
from decai.simulation.contract.classification.ncc_module import NearestCentroidClassifierModule
from decai.simulation.contract.classification.perceptron import PerceptronModule
from decai.simulation.contract.cla... | 0xDeCA10B/simulation/decai/simulation/simulate_entry_point.py/0 | {
"file_path": "0xDeCA10B/simulation/decai/simulation/simulate_entry_point.py",
"repo_id": "0xDeCA10B",
"token_count": 2279
} | 9 |
# Lab 7 - 分布式训练任务练习
## 实验目的
1. 学习使用Horovod库。
2. 通过调用不同的通信后端实现数据并行的并行/分布式训练，了解各种后端的基本原理和适用范围。
3. 通过实际操作，灵活掌握安装部署。
## 实验环境
* Ubuntu 18.04
* CUDA 10.0
* PyTorch==1.5.0
* Horovod==0.19.4
## 实验原理
通过测试MPI、NCCL、Gloo、oneCCL后端完成相同的allreduce通信，通过不同的链路实现数据传输。
## 实验内容
### 实验流程图
#... | AI-System/Labs/AdvancedLabs/Lab7/README.md/0 | {
"file_path": "AI-System/Labs/AdvancedLabs/Lab7/README.md",
"repo_id": "AI-System",
"token_count": 3491
} | 10 |
inference_address=http://0.0.0.0:8080
management_address=http://0.0.0.0:8081
number_of_netty_threads=32
job_queue_size=1000
model_store=/home/model-server/model-store | AI-System/Labs/BasicLabs/Lab5/config.properties/0 | {
"file_path": "AI-System/Labs/BasicLabs/Lab5/config.properties",
"repo_id": "AI-System",
"token_count": 68
} | 11 |
<!--Copyright © Microsoft Corporation. All rights reserved.
适用于[License](https://github.com/microsoft/AI-System/blob/main/LICENSE)版权许可-->
# 术语表
## A
|英文|中文|缩写|首次提交人|
|---|---|---|---|
|Artificial Intelligence|人工智能|AI|yanjie|
|Activation|激活函数||xiaowu|
|[Amdahl's Law](https://en.wikipedia.org/wiki/Amdahl%27s_law)|阿... | AI-System/Textbook/术语表.md/0 | {
"file_path": "AI-System/Textbook/术语表.md",
"repo_id": "AI-System",
"token_count": 8867
} | 12 |
<!--Copyright © Microsoft Corporation. All rights reserved.
适用于[License](https://github.com/microsoft/AI-System/blob/main/LICENSE)版权许可-->
# 1.3 深度学习系统组成与生态
如同 Jeff Dean 所描述的那样--过去是深度学习计算机系统和应用的黄金十年 “[A Golden Decade of Deep Learning: Computing Systems & Applications](https://direct.mit.edu/daed/article/151/2/58/110... | AI-System/Textbook/第1章-人工智能系统概述/1.3-深度学习系统组成与生态.md/0 | {
"file_path": "AI-System/Textbook/第1章-人工智能系统概述/1.3-深度学习系统组成与生态.md",
"repo_id": "AI-System",
"token_count": 15120
} | 13 |
<!--Copyright © Microsoft Corporation. All rights reserved.
适用于[License](https://github.com/microsoft/AI-System/blob/main/LICENSE)版权许可-->
## 2.9 Transformer模型
Transformer 模型在 NLP/CV 领域都取得了很令人瞩目的成绩，因此在本小节中，我们来简要介绍一下其原理。作为铺垫，先要从序列到序列的模型说起，然后提出注意力机制，再过渡到主题。
- [2.9 Transformer模型](#29-transformer模型)
- [2.9.1 序列到序列模型（... | AI-System/Textbook/第2章-神经网络基础/2.9-注意力机制和Transformer.md/0 | {
"file_path": "AI-System/Textbook/第2章-神经网络基础/2.9-注意力机制和Transformer.md",
"repo_id": "AI-System",
"token_count": 12826
} | 14 |
<!--Copyright © Microsoft Corporation. All rights reserved.
适用于[License](https://github.com/microsoft/AI-System/blob/main/LICENSE)版权许可-->
# 8.4 推理系统的运行期优化
<center> <img src="./img/4/8-4-6-runtime.png" /></center>
<center>图 8.4.1 推理系统运行期优化 </center>
推理系统类似传统的 Web 服务，需要应对不断增加的用户请求数量，提高吞吐量（Throughput），提升资源利用率（Utili... | AI-System/Textbook/第8章-深度学习推理系统/8.4-推理系统的运行期优化.md/0 | {
"file_path": "AI-System/Textbook/第8章-深度学习推理系统/8.4-推理系统的运行期优化.md",
"repo_id": "AI-System",
"token_count": 16987
} | 15 |
# BatchScoringDeepLearningModelsWithAML Pipeline
trigger:
batch: true
branches:
include:
- master
variables:
- group: AzureKeyVault
jobs:
- job: BatchScoringDeepLearningModelsWithAMLJob
timeoutInMinutes: 300
cancelTimeoutInMinutes: 2
pool:
vmImage: 'Ubuntu-16.04'
steps:
- bash: |
... | AI/.ci/python-keras-scoring.yml/0 | {
"file_path": "AI/.ci/python-keras-scoring.yml",
"repo_id": "AI",
"token_count": 1469
} | 16 |
parameters:
Agent: Hosted Ubuntu 1604
Demands: "python3"
stageName: 'defaultStageName'
jobDisplayName: 'defaultDisplayName'
jobTimeoutInMinutes: 180
TridentWorkloadTypeShort: #
DeployLocation: #
TestPostfix: # "" | "-release" | "-preview"
Deploy_Location_Short: #
DefaultWorkingDirectory: #
Templat... | AI/.ci/stage/deploy_notebooks_stage_v5.yml/0 | {
"file_path": "AI/.ci/stage/deploy_notebooks_stage_v5.yml",
"repo_id": "AI",
"token_count": 1269
} | 17 |
parameters:
azureSubscription: ''
azure_subscription: ''
location: submodules/DeployMLModelKubernetes/{{cookiecutter.project_name}}
azureresourcegroup: dciborowhp
workspacename: dciborowhpws
azureregion: westus2
aksimagename: dciborowhpaks
aks_name: dciborowhpaks
aks_service_name: myimage
conda: M... | AI/.ci/steps/MLAKSDeployAMLJob.yml/0 | {
"file_path": "AI/.ci/steps/MLAKSDeployAMLJob.yml",
"repo_id": "AI",
"token_count": 1170
} | 18 |
parameters:
tenant: 72f988bf-86f1-41af-91ab-2d7cd011db47
azureresourcegroup: "rmlrts"
workspacename: "rmlrtsws"
azureregion: "eastus"
aksimagename: "myimage"
aks_name: "rmlrtsaks"
aks_service_name: "rmlrts"
acr_name: "rmlrtsacr"
CRAN: 'https://cloud.r-project.org'
R_LIBS_USER: '$(Agent.BuildDirector... | AI/.ci/steps/config_r.yml/0 | {
"file_path": "AI/.ci/steps/config_r.yml",
"repo_id": "AI",
"token_count": 731
} | 19 |
parameters:
conda: #
azureSubscription: #
azure_subscription: #
azureresourcegroup: #
workspacename: defaultworkspacename
azureregion: #
location: #
pylint_fail: True
set_vars: true
aksimagename: "x"
aks_service_name: "x"
aks_name: "x"
deep_aksimagename: "mydeepimage"
deep_aks_service_name: ... | AI/.ci/steps/pytest_steps.yml/0 | {
"file_path": "AI/.ci/steps/pytest_steps.yml",
"repo_id": "AI",
"token_count": 2438
} | 20 |
variables:
TridentWorkloadTypeShort: aimlscore
DeployLocation: eastus
ProjectLocation: "."
PythonPath: "."
Template: MLTrainDeployAMLJob.yml
| AI/.ci/vars/mlhyperparametertuning_vars.yml/0 | {
"file_path": "AI/.ci/vars/mlhyperparametertuning_vars.yml",
"repo_id": "AI",
"token_count": 51
} | 21 |
#!/bin/bash
#
# This script is for training with updated ann driver
#
# The design for this ann driver is to have 2 separate processes for training: one for passage/query
# inference using trained checkpoint to generate ann data and calcuate ndcg, another for training the model
# using the ann data generated. Data be... | ANCE/commands/run_train.sh/0 | {
"file_path": "ANCE/commands/run_train.sh",
"repo_id": "ANCE",
"token_count": 1490
} | 22 |
from transformers.configuration_utils import PretrainedConfig
#from transformers.utils import logging
#logger = logging.get_logger(__name__)
import logging
logger = logging.getLogger(__name__)
# DEBERTA_V2_PRETRAINED_CONFIG_ARCHIVE_MAP = {
# "microsoft/deberta-v2-xlarge": "https://huggingface.co/microsoft/deberta... | ANCE/model/SEED_Encoder/configuration_seed_encoder.py/0 | {
"file_path": "ANCE/model/SEED_Encoder/configuration_seed_encoder.py",
"repo_id": "ANCE",
"token_count": 3684
} | 23 |
"""
Code for self-training with weak supervision.
Author: Giannis Karamanolakis (gkaraman@cs.columbia.edu)
"""
import logging
def get_logger(logfile, name='mylogger', level=logging.DEBUG, format='%(asctime)s %(levelname)s %(message)s'):
logger = logging.getLogger(name)
logger.setLevel(level)
# File Handl... | ASTRA/astra/Logger.py/0 | {
"file_path": "ASTRA/astra/Logger.py",
"repo_id": "ASTRA",
"token_count": 256
} | 24 |
### Evaluation code for E2E, WebNLG and Dart
* Code for evaluating E2E https://github.com/tuetschek/e2e-metrics
* Code for evaluating WebNLG and Dart https://github.com/WebNLG/GenerationEval.git
Before running evaluation for the first time you must run
`bash download_evalscript.sh`
| AdaMix/NLG/eval/README.md/0 | {
"file_path": "AdaMix/NLG/eval/README.md",
"repo_id": "AdaMix",
"token_count": 89
} | 25 |
. ./venv/bin/activate
seed=110
n_experts=8
python -m torch.distributed.launch --nproc_per_node=1 src/gpt2_ft.py \
--train_data ./data/e2e/train.jsonl \
--valid_data ./data/e2e/valid.jsonl \
--train_batch_size 8 \
--grad_acc 1 \
--valid_batch_size 4 \
--seq_len 512 \
--model_card gpt2.md \
--init_checkpoint ./pretrain... | AdaMix/NLG/run_train_e2e.sh/0 | {
"file_path": "AdaMix/NLG/run_train_e2e.sh",
"repo_id": "AdaMix",
"token_count": 365
} | 26 |
# ------------------------------------------------------------------------------------------
# Copyright (c). All rights reserved.
# Licensed under the MIT License (MIT). See LICENSE in the repo root for license information.
# -----------------------------------------------------------------------------------------... | AdaMix/NLG/src/gpt2_ft.py/0 | {
"file_path": "AdaMix/NLG/src/gpt2_ft.py",
"repo_id": "AdaMix",
"token_count": 6408
} | 27 |
FROM nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04
FROM yaqing/pytorch-efficient-tuning:v0.1
LABEL maintainer="Hugging Face"
LABEL repository="transformers"
COPY . transformers/
RUN cd transformers/ && \
python -m pip install --no-cache-dir .
CMD ["/bin/bash"]
| AdaMix/docker/transformers-pytorch-gpu-adamix/Dockerfile/0 | {
"file_path": "AdaMix/docker/transformers-pytorch-gpu-adamix/Dockerfile",
"repo_id": "AdaMix",
"token_count": 110
} | 28 |
/* Our DOM objects */
/* Colab dropdown */
table.center-aligned-table td {
text-align: center;
}
table.center-aligned-table th {
text-align: center;
vertical-align: middle;
}
.colab-dropdown {
position: relative;
display: inline-block;
}
.colab-dropdown-content {
display: none;
positi... | AdaMix/docs/source/_static/css/huggingface.css/0 | {
"file_path": "AdaMix/docs/source/_static/css/huggingface.css",
"repo_id": "AdaMix",
"token_count": 3123
} | 29 |
..
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/model_doc/barthez.rst/0 | {
"file_path": "AdaMix/docs/source/model_doc/barthez.rst",
"repo_id": "AdaMix",
"token_count": 755
} | 30 |
..
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/model_doc/encoderdecoder.rst/0 | {
"file_path": "AdaMix/docs/source/model_doc/encoderdecoder.rst",
"repo_id": "AdaMix",
"token_count": 531
} | 31 |
..
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/model_doc/mpnet.rst/0 | {
"file_path": "AdaMix/docs/source/model_doc/mpnet.rst",
"repo_id": "AdaMix",
"token_count": 1367
} | 32 |
..
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/model_doc/xlmprophetnet.rst/0 | {
"file_path": "AdaMix/docs/source/model_doc/xlmprophetnet.rst",
"repo_id": "AdaMix",
"token_count": 961
} | 33 |
..
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/tokenizer_summary.rst/0 | {
"file_path": "AdaMix/docs/source/tokenizer_summary.rst",
"repo_id": "AdaMix",
"token_count": 5084
} | 34 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. 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.
... | AdaMix/examples/legacy/run_language_modeling.py/0 | {
"file_path": "AdaMix/examples/legacy/run_language_modeling.py",
"repo_id": "AdaMix",
"token_count": 5485
} | 35 |
# 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 applicabl... | AdaMix/examples/legacy/seq2seq/old_test_seq2seq_examples_multi_gpu.py/0 | {
"file_path": "AdaMix/examples/legacy/seq2seq/old_test_seq2seq_examples_multi_gpu.py",
"repo_id": "AdaMix",
"token_count": 771
} | 36 |
if ! [ -f ./dev.txt ]; then
echo "Downloading CONLL2003 dev dataset...."
curl -L -o ./dev.txt 'https://github.com/davidsbatista/NER-datasets/raw/master/CONLL2003/valid.txt'
fi
if ! [ -f ./test.txt ]; then
echo "Downloading CONLL2003 test dataset...."
curl -L -o ./test.txt 'https://github.com/davidsbatista/NER-... | AdaMix/examples/legacy/token-classification/run_chunk.sh/0 | {
"file_path": "AdaMix/examples/legacy/token-classification/run_chunk.sh",
"repo_id": "AdaMix",
"token_count": 414
} | 37 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. 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.
... | AdaMix/examples/question-answering/run_tf_squad.py/0 | {
"file_path": "AdaMix/examples/question-answering/run_tf_squad.py",
"repo_id": "AdaMix",
"token_count": 3694
} | 38 |
{
"activation": "gelu",
"attention_dropout": 0.1,
"dim": 768,
"dropout": 0.1,
"hidden_dim": 3072,
"initializer_range": 0.02,
"max_position_embeddings": 512,
"n_heads": 12,
"n_layers": 6,
"sinusoidal_pos_embds": true,
"tie_weights_": true,
"vocab_size": 28996
}
| AdaMix/examples/research_projects/distillation/training_configs/distilbert-base-cased.json/0 | {
"file_path": "AdaMix/examples/research_projects/distillation/training_configs/distilbert-base-cased.json",
"repo_id": "AdaMix",
"token_count": 134
} | 39 |
"""
coding=utf-8
Copyright 2018, Antonio Mendoza Hao Tan, Mohit Bansal, Huggingface team :)
Adapted From Facebook Inc, Detectron2
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://w... | AdaMix/examples/research_projects/lxmert/utils.py/0 | {
"file_path": "AdaMix/examples/research_projects/lxmert/utils.py",
"repo_id": "AdaMix",
"token_count": 8332
} | 40 |
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