Datasets:
deepcopy
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Azu-Handwritten-Mathematical-Expression

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\tan ( \frac { \pi } { 2 } ) = \infty
train
a _ { i } + b _ { i }
train
6 . 7
train
\log _ { 2 } \frac { 1 } { 2 } + \log _ { 4 } \frac { 2 } { 4 }
train
( 0 + 0 + 0 + 0 + ( 0 + 2 ) )
2019
m
train
\lim _ { r \rightarrow 0 } c ( r )
2016
a _ { n } = a _ { 1 } \cdot q ^ { n - 1 }
train
f = a _ { 1 } ( x - x _ { h } ) + a _ { 2 } ( x - x _ { h } ) ^ { 2 }
2019
x l
train
[ \frac { 2 } { 3 } x ^ { \frac { 3 } { 2 } } ] _ { 0 } ^ { 1 }
train
1 . 4
train
\frac { ( X ) ( X ) ( X ) ( X ) ( X ) } { ( X ) }
2014
\sum _ { i = 1 } ^ { n } a _ { i i }
train
\sqrt { \Delta m }
2016
a + \sqrt { \frac { b + c } { d + f } }
train
\sin ^ { 2 } ( x ) + \cos ^ { 2 } ( x ) = 1
train
y ^ { N }
train
p _ { X } ( x )
train
f ( r , \theta ) = r ^ { 2 } ( \cos \theta ^ { 2 } + \sin \theta ^ { 2 } ) = r ^ { 2 }
train
x ^ { i + 2 j \times k ^ { 3 } - 2 \frac { j } { i } }
train
| \int \limits _ { a } ^ { b } f ( x ) d x | \leq \int \limits _ { a } ^ { b } | f ( x ) | d x
train
( x _ { n } )
train
\sum _ { k = 1 } ^ { n } ( c a _ { k } ) = c \sum _ { i = 1 } ^ { n } ( a _ { k } )
2014
6 ^ { 6 } \cdot 6 ^ { 2 } = ( 6 ^ { x } ) ^ { 4 }
train
a = b \cos C + c \cos B
train
x _ { 1 } = a _ { 1 1 } y _ { 1 } + a _ { 1 2 } y _ { 2 }
2014
a x ^ { 4 } + b x + c = 0
train
5 - z \leq x
train
0 \leq x \leq 2 \pi
2014
\lim _ { n \rightarrow \infty } \frac { 1 } { n ^ { p } } = 0
train
k < \sigma _ { G }
train
x < \frac { c - b } { a }
train
v = ( v _ { x } v _ { y } v _ { z } )
2014
4 _ { a } 4 _ { b } + 4 _ { b } 4 _ { a }
2016
3 a ^ { 2 } b ^ { 3 } + 5 a ^ { 3 } b ^ { 2 } - \frac { a ^ { 5 } b ^ { 8 } } { 2 }
train
\sqrt { \frac { g } { \frac { L } { j ^ { n } } } }
train
s - b = 5
train
- 9 9
2016
S = ( \sum _ { i = 1 } ^ { n } \theta _ { i } - ( n - 2 ) \pi ) r ^ { 2 }
train
( d + 1 + n ) \times ( d + 1 + n )
2019
a l l z
2014
\sqrt { x y z } = \sqrt { x } \sqrt { y } \sqrt { z }
train
2 G
train
\sum _ { n = 1 } ^ { \infty } ( b _ { n } - b _ { n + 1 } )
train
( x ^ { 3 } - x ^ { 2 } - x ) ( 2 x - 7 )
train
E = E _ { k } + E _ { p }
train
l
train
\gamma = \cos { c }
2016
\lim _ { x \rightarrow \frac { 1 } { 4 } } \frac { 1 - 4 ^ { x - \frac { 1 } { 4 } } } { 1 - 4 x }
train
d ( x , y ) + d ( y _ { , } z ) \geq d ( x _ { , } z )
2014
- \int _ { \sqrt { r } } ^ { C } \frac { z - A } { y r } d X _ { M }
train
\cos \alpha = - 1
2019
a \sqrt { 2 }
2019
1 2 3 4 + 5 6 7 8 > 9 0
train
E = m c ^ { 2 }
train
\alpha _ { n + 1 } - 3 \beta = \frac { 2 } { 3 } \alpha _ { n } + \beta - 3 \beta
train
\sum _ { n } n ^ { - 1 }
2019
( 1 - 2 ^ { - s } ) ( 1 + \frac { 1 } { 2 ^ { s } } + \frac { 1 } { 3 ^ { s } } + \frac { 1 } { 4 ^ { s } } + \frac { 1 } { 5 ^ { s } } + \ldots )
2014
1 0 7 + ( 8 2 \div 1 0 8 ) \neq - 9 0
train
( 1 - 1 ) ^ { 3 } + 1 ^ { 3 } < \frac { 1 } { 4 } 2 ^ { 4 } < 1 ^ { 3 } + 2 ^ { 3 }
2014
a ^ { 2 } + b ^ { 2 } = ( a + b i ) ( a - b i )
train
\beta = 2 \cos ( \frac { \pi } { 1 2 } ) = \frac { 1 + \sqrt { 3 } } { \sqrt { 2 } }
2016
u _ { 7 } = x _ { 7 } \sqrt { x _ { 4 } ^ { 4 } + x _ { 5 } ^ { 4 } }
2016
z = x - \frac { b } { 3 a }
train
2 \alpha + 3 \sqrt { \beta }
train
\lim _ { n \rightarrow \infty } \frac { 1 } { n ^ { p } } = 0
train
y = x + 1
train
c = \lim _ { k \rightarrow + \infty } \Delta ( k )
2019
2 \log ( x - 3 ) = \log ( 5 - x )
train
\cos \theta _ { 0 } = \sqrt { \frac { 1 } { 5 } }
2019
\cos \theta = \frac { x } { \sqrt { x ^ { 2 } + y ^ { 2 } } }
train
\cdots - x + R
train
( a _ { 1 } b _ { 1 } ) ( a _ { 1 } b _ { 2 } ) = ( a _ { 1 } b _ { 2 } ) ( b _ { 1 } b _ { 2 } )
2014
\frac { G } { f P }
train
x + y
2016
( 7 - 7 7 - 7 8 ) / 1 6 6 \geq 0
train
\frac { \tan \alpha - \tan \beta } { 1 + \tan \alpha \tan \beta }
train
t = \frac { t _ { 0 } } { \sqrt { 1 - \frac { v ^ { 2 } } { c ^ { 2 } } } }
train
( u _ { i } ^ { n } )
train
x ^ { y } - y ^ { x }
train
a b ^ { 2 } + a ( b - c ) - b c ^ { 2 }
2014
\lim _ { x \rightarrow \frac { \pi } { 2 } + 0 } \tan x = - \infty
train
\frac { j ( s ) - \sum X } { S _ { X _ { f } } } \sum F
train
1 3 3 + ( ( 1 8 4 + 6 7 ) \div 1 2 3 ) = 1 3 5 . 0 4
train
8 3
train
\cos ^ { 2 } \theta
2016
3 . 6 \sum t + P - A
train
\exists y \exists x F
2014
\sqrt { o - 0 }
train
\sqrt { R } ^ { b + l } ( \sigma )
train
2 n a _ { n } a _ { n - 2 } - ( n - 1 ) a _ { n - 1 } ^ { 2 } = 0
train
\lim _ { n \rightarrow \infty } \frac { 1 } { n ^ { p } } = 0
train
( f _ { 1 } , \ldots , f _ { n } )
train
( 1 + x ) ^ { r } \geq 1 + r x
train
\frac { ( 2 n - 2 ) ( 2 n - 2 ) } { n - 1 } + 4 = 4 n
2019
a \neq - b
2019
p ( z )
train
\pm \frac { 1 } { \sqrt { 2 4 } }
2019
\int e ^ { - z ^ { 2 } } d z = e r f ( z )
train