Datasets:
deepcopy
/
Azu-Handwritten-Mathematical-Expression

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26
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4 values
\frac { 5 } { x + 1 } + \frac { 5 } { x ^ { 2 } + x }
train
\int A _ { m }
2016
1 - v = z + x - z x
2016
\int \sqrt { g } R
2016
\sum _ { k = 1 } ^ { p } i _ { k } + \sum _ { k = 1 } ^ { q } j _ { k }
2019
\frac { 1 } { a } F ( a x + b ) + C
train
H
train
\sum _ { i = 1 } ^ { n } [ i ^ { k + 1 } - ( i - 1 ) ^ { k + 1 } ] = n ^ { k + 1 }
2014
\beta _ { t }
train
( 1 ) + ( 6 + 6 ) + ( 1 + 3 \times 6 ) = 3 2
2016
\frac { x ^ { 2 } + 1 2 3 } { 4 }
train
x = [ x ] { + } f _ { x }
2016
[ \frac { F } { u } ]
train
\sum _ { I \geq j } C - g
train
x _ { i } - x _ { i + 1 } + x _ { i + 2 }
train
v _ { a } \Delta
train
\sum _ { i = 1 } ^ { 6 } i ^ { 2 } = 1 ^ { 2 } + 2 ^ { 2 } + 3 ^ { 2 } + 4 ^ { 2 } + 5 ^ { 2 } + 6 ^ { 2 }
train
\int ( 2 ^ { x } - 3 e ^ { x } ) d _ { x }
train
\frac { - 2 y } { x ^ { 2 } - y ^ { 2 } } = \frac { - 2 y } { x ^ { 2 } - y ^ { 2 } }
2014
2 0
train
o \in X
2019
\int ( 2 ^ { x } - 3 e ^ { x } ) d x
train
e ^ { \int x ^ { 2 } d x }
train
\sqrt { a ^ { 3 } } + a ^ { 4 }
train
y \rightarrow \sqrt { n } y
2016
f _ { p } ( x ) = 4 p x ( 1 - x )
train
4 + 4 + 2 \times 6 = 2 0
train
\sum _ { 0 } ^ { \infty } \frac { 1 } { n ^ { 2 } }
train
( x + 1 ) ^ { n + 1 } = ( x + 1 ) ( x + 1 ) ^ { n }
train
o ^ { o }
train
\int _ { 0 } ^ { \pi } \cos ( \frac { \theta } { 2 } ) d \theta
train
a ^ { m + a + N }
train
m
train
\frac { \tan \alpha - \tan \beta } { 1 + \tan \alpha \tan \beta }
train
t = p \tan \theta
2019
x _ { x } ^ { x } + y _ { y } ^ { y } + z _ { z } ^ { z } - x - y - z
train
\int \limits _ { a } ^ { b } f ( x ) d x = F ( b ) - F ( a )
train
a _ { n } = \frac { - i \sqrt { n } } { 2 } ( q _ { n } + i \frac { 2 } { n } p _ { n } )
2016
C _ { 1 } y _ { 1 } ^ { ( n - 1 ) } + C _ { 2 } y _ { 2 } ^ { ( n - 1 ) } + \ldots + C _ { n } y _ { n } ^ { ( n - 1 ) } = 0
2014
[ b ^ { x } \{ ( \frac { a } { b } ) ^ { x } + 1 \} ] ^ { \frac { 1 } { x } }
train
g ( x , y ) = \sqrt [ 3 ] { x - y } + \sqrt { | x + y | }
train
\sum _ { \Delta \geq \sum H } \cdots + \int \frac { H } { b } d T
train
\frac { 1 + 2 } { 3 }
train
\beta = 2 \cos ( \frac { \pi } { 5 } ) = \frac { 1 + \sqrt { 5 } } { 2 }
2016
\frac { 1 } { n ^ { 2 } } \leq \frac { 1 } { n - 1 } - \frac { 1 } { n }
train
p
train
( k - b - c ) \times ( a - b )
2019
d \geq 7
2016
\log 5 + \log 4 x = 2
train
\frac { x ^ { 4 } } { 2 ^ { 3 } } - ( \frac { 2 } { x } ) ^ { - 4 }
train
a + \frac { \sqrt { b + c } } { 2 }
train
c ^ { 2 } = a ^ { 2 } + b ^ { 2 } - 2 a b \cos C
train
2 8 . 9 4 \pi
train
4
train
\forall a \in I
2016
c _ { a b c } y ^ { a } y ^ { b } y ^ { c }
2016
y = 1 5 x + 7
train
s _ { i } = \sin \theta _ { i }
2016
1 3 5 \div 1 1 9 \geq 0
train
a + \frac { \sqrt { b + c } } { 2 }
train
1 3 + \pi r ^ { 2 }
train
\lim _ { x \rightarrow c } f ( x ) = L
2014
\cdots - 4 . 2
train
\int ( 2 ^ { x } - 3 e ^ { x } ) d x
train
\sum X
train
\frac { ( z - 2 ) } { ( 7 - z ) }
train
\sum n _ { i }
2016
\frac { 2 } { \frac { 3 m - 2 n \times 9 ^ { n } - 9 ^ { m } } { 2 n - 1 } }
train
4
train
( \frac { 1 } { m ^ { 2 } } - \frac { 3 m } { n } + \frac { 2 } { m n } )
train
j
train
\frac { 2 \tan \alpha } { 1 - \tan ^ { 2 } \alpha }
train
f ^ { ' } ( x ) = \frac { 1 } { 2 \sqrt { x } }
train
\frac { 1 } { 2 } x = 1 0
train
\sum _ { m } f ( m + 3 )
train
a = i ( \frac { l - 1 } { 2 \beta } - \frac { k - 1 } { 2 } \beta )
2019
y = v \sin ( u )
train
\cdots + g
train
g
train
8 + 6 + 6 + 6 + 6 + 6
2019
( x ^ { 2 } - 5 ) ^ { 2 } - 2 4
train
w \sum P
train
1 5 \pi
2014
n _ { e H }
train
\sqrt { 1 + \sqrt { 1 + z ^ { 2 } } }
train
3 9
2019
r \rightarrow \infty
2014
\lim _ { n \rightarrow \infty } s _ { n } = 0
2016
\sum \alpha _ { i } + \sum \beta _ { i } = 1
2016
a = m = \frac { n _ { 2 } } { n _ { 1 } }
train
\frac { 1 + \frac { 3 } { 4 } x + \frac { 1 } { 4 } x ^ { 2 } + \frac { 1 } { 2 4 } x ^ { 3 } } { 1 - \frac { 1 } { 4 } x }
train
\tan ( \frac { \pi } { 4 } ) = 1
train
x _ { 1 } \times x _ { 2 } \times x _ { 3 } \times x _ { 4 } = X
train
\frac { 2 } { \sqrt { 3 } } - \frac { 1 } { 2 \sqrt { 3 } } = \frac { 1 } { 2 \sqrt { 3 } } - ( - \frac { 1 } { \sqrt { 3 } } ) = \frac { \sqrt { 3 } } { 2 }
2016
x = y + 2
train
a _ { 3 } = 3 2
train
m _ { 1 } = \frac { h ( X _ { 1 } ) + \ldots + h ( X _ { n } ) } { n }
train
\sin x - \sin y - \sin ( x - y )
train
\sum _ { i } d _ { i } = d
2016
( 8 9 - ( 8 6 \times 4 ) ) / ( ( 1 9 6 / 1 6 8 ) + 1 2 5 ) \leq - 1
train