Datasets:
deepcopy
/
Azu-Handwritten-Mathematical-Expression

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\frac { \frac { p } { n } + v } { - H }
train
\sum _ { i = 1 } ^ { n } i = \frac { 1 } { 2 } n ( n + 1 )
train
p = I
train
\frac { 2 ^ { 5 } } { 3 + 1 }
train
f ( n , m )
train
( ( \lambda ) )
train
\frac { 2 n } { n + 1 }
2016
I H
2019
2 \times 2 - 2 \times 1 - 2 \times 1 = 2 \times 1 - 1 \times 1 - 1 \times 1
train
- \frac { Y } { t } B
train
3 1 + 5 4 = 8 5
train
( d t ) ^ { 2 } = \frac { l ( d \theta ) ^ { 2 } } { 2 g ( \cos ( \theta ) - \cos ( \theta _ { 0 } ) ) }
train
\frac { 4 } { 3 } \pi r ^ { 3 }
train
z ( s ) = \sin \theta \cos \phi r _ { 1 } + \sin \theta \sin \phi r _ { 2 } + \cos \theta r _ { 3 }
2019
d ( x )
train
\cdots - \sum i
train
\pi
train
x . y
2014
( y ^ { 4 } - 1 ) / ( y ^ { 2 } - 1 )
train
a ^ { 2 } + b ^ { 2 } = ( a + b i ) ( a - b i )
train
y = C _ { 1 } y _ { 1 } + C _ { 2 } y _ { 2 } + \ldots + C _ { n } y _ { n }
2014
z = e ^ { i \alpha }
train
\int _ { a } ^ { b } x + z d z
train
\lim _ { n \rightarrow \infty } ( \sqrt { n + 2 } - \sqrt { n } ) = 0
train
v _ { x } = v _ { 0 } \cos \alpha
train
n v
train
- g m
train
c _ { i } \neq c _ { j }
train
x _ { i } - x _ { i + 1 } + x _ { i + 2 }
train
3 a ^ { 2 } b ^ { 3 } + 5 a ^ { 3 } b ^ { 2 } - \frac { a ^ { 5 } b ^ { 8 } } { 2 }
train
x ^ { 2 } - y ^ { 2 } = x ^ { 2 } + x y + y ^ { 2 } - x y - 2 y ^ { 2 } + x y - x y
2014
t ( z ) = \frac { h _ { 3 } h _ { 1 } } { h _ { 3 } h _ { 0 } - h _ { 2 } h _ { 1 } } + \frac { h _ { 3 } ^ { 2 } } { h _ { 3 } h _ { 0 } - h _ { 2 } h _ { 1 } } z ^ { - 1 }
train
r = 1 \div n
2016
( ( 1 8 \div 1 2 3 ) + 1 2 3 ) \times ( 1 0 7 + ( 1 0 0 \div 1 4 2 ) ) \geq 1 3 2 6 2
train
( x + 1 ) ^ { n + 1 } = ( x + 1 ) ( x + 1 ) ^ { n }
train
\sum _ { n = 1 } ^ { \infty } ( b _ { n } - b _ { n + 1 } )
train
a = 4 ( \frac { 1 } { 4 } - \frac { 3 } { 8 } )
2019
\tan ( \frac { \pi } { 2 } ) = \infty
train
m _ { i } = \frac { x _ { i } + x _ { i + 1 } } { 2 }
train
x = r \cos \theta
train
\sum q _ { i } = - \frac { 1 } { 4 }
2019
X = Y + 1
train
\sqrt [ 5 ] { 5 5 }
train
\alpha _ { n + 1 } - 3 \beta = \frac { 2 } { 3 } \alpha _ { n } + \beta - 3 \beta
train
\Delta ^ { - 1 } = \int _ { 0 } ^ { 1 } d x x ^ { \Delta - 1 }
2016
( 1 2 0 - 6 9 ) - ( ( 1 7 1 + 6 0 ) \times ( 2 4 / 9 7 ) ) \neq 0
train
1 / t
2014
p = 0 , 1
train
x ^ { y } - y ^ { x }
train
a x ^ { 4 } + b x + c = 0
train
\sum _ { Y > S } m + p
train
u _ { 0 } = ( 0 , 0 )
train
2 \times e
train
x ^ { 2 } + y ^ { 2 } + z ^ { k + 1 }
2019
- y - 5 ( 1 )
2014
0 . 5 4 \div 1 . 2 8
2016
s _ { n } = \sum _ { k = 1 } ^ { n } a _ { k }
train
\sqrt { 1 + \sqrt { 1 + \sqrt { 1 + \sqrt { x } } } }
train
q ^ { 2 } = \sum _ { a = 1 } ^ { n } ( x ^ { a } ) ^ { 2 }
2019
( a ( b ^ { 2 } ) ) + ( d ^ { 3 } )
2014
x ^ { 2 } - x - 6 < 0
train
\frac { 1 } { n ^ { 2 } } \leq \frac { 1 } { n - 1 } - \frac { 1 } { n }
train
m ( b - a ) \leq \int \limits _ { a } ^ { b } f ( x ) d x \leq M ( b - a )
train
\sin ( x )
2019
\frac { \sqrt { p + 1 } } { 2 }
2019
\lim ( u _ { n } ) = - \infty
train
\frac { a _ { 1 } + a _ { 2 } + a ^ { 3 } } { 1 - x }
train
a ^ { b ^ { c ^ { d } } }
train
\sin ^ { 2 } ( x ) = 1 - \cos ^ { 2 } ( x )
train
1 , 1 \times 1 0 ^ { 1 8 }
train
[ e ]
2014
- \frac { 1 8 5 8 } { 9 }
2019
2 \pi \sin \alpha
2019
\sqrt { n m }
2019
( 2 \sqrt { 7 } - 3 \sqrt { 3 } ) x ^ { 3 } + x ^ { 2 } - ( 2 \sqrt { 7 } - \sqrt { 3 } ) x + 1
train
t - x
2019
\sin 5
train
\frac { A } { v ^ { g } }
train
a + \frac { \sqrt { b + c } } { 2 }
train
4 ! + 4 ! - \frac { 4 ! } { 4 }
2014
\frac { 4 } { 3 } \pi r ^ { 3 }
train
\phi ( n )
train
f ^ { ' } ( x ) = \frac { 1 } { 2 \sqrt { x } }
train
\cdots + I - s
train
X \times Y
2019
C i
train
s ^ { n - 3 }
train
\sum s - \pi H
train
\sin x - \sin y - \sin ( x - y )
train
\phi
train
x ^ { a } ( p )
train
9
train
( x + 1 ) ^ { 2 }
train
\sin f ( 0 ) = \sin f ( \pi ) = 0
2019
G \times H
2014
\cdots + ( r )
train
y ^ { 2 } \pm \sqrt { u - p } ( y - \frac { q } { 2 ( u - p ) } ) + \frac { u } { 2 } = 0
train
\sum _ { E \geq c } p + R
train
a _ { k } x ^ { k }
train
- s
train