Datasets:
deepcopy
/
Azu-Handwritten-Mathematical-Expression

Dataset card Data Studio Files
xet
 Community
image
imagewidth (px)
26
336
latex
stringlengths
2
482
split
stringclasses
4 values
y = - b ^ { n } + c ^ { n } - d ^ { n }
2016
\sum _ { b > p } y - Y
train
1 5 4 \pm ( ( 1 3 3 \times 3 1 ) + ( 1 - 1 9 3 ) ) \times 1 6 5
train
\frac { 4 } { 3 } \pi r ^ { 3 }
train
\sin L t
2019
\sin ^ { 2 } ( x ) + \cos ^ { 2 } ( x ) = 1
train
\sqrt { Y - M }
train
- 5 A
train
b
train
\beta = ( \beta _ { 1 } , \beta _ { 2 } , \ldots , \beta _ { n } )
train
\int 0 . 4 d F
train
u
train
- \gamma
train
4 \pi ^ { 4 } \int a ^ { 3 } b ^ { 3 } d t
2019
1 9 2 \times 1 8 3 = 3 5 1 3 6
train
\sqrt { x - y - z + x ^ { 2 } + y ^ { 2 } + z ^ { 2 } }
train
b
train
\frac { \sqrt { 2 1 } - \sqrt { 5 } } { \sqrt { 7 } }
train
+ 7 + 8 + 1 1
2019
0 . 3
train
3 ^ { 7 } c ^ { 5 } + 3 ^ { 6 } c ^ { 4 } - 2 7 5 4 c ^ { 3 } - 7 0 2 c ^ { 2 } + 7 1 1 c + 8 5
2019
( y ^ { 4 } - 1 ) / ( y ^ { 2 } - 1 )
train
2 5
train
X _ { 0 } ( n )
train
\pi \int _ { c } ^ { d } \{ g ( y ) \} ^ { 2 } d y
train
k _ { i } = \frac { x _ { i } } { \sum x _ { i } }
2014
\frac { 2 } { \frac { 3 m - 2 n \times 9 ^ { n } - 9 ^ { m } } { 2 n - 1 } }
train
5 0 ! \cdot n = 4 8 !
train
4 + 4
train
x _ { i } - x _ { i + 1 } + x _ { i + 2 }
train
\sin ( a - b ) = \sin a \cos b - \cos a \sin b
train
- L ( a )
train
\sum n
train
r ^ { 2 } = \sum _ { i } y ^ { i } y ^ { i }
2019
\cos ^ { 2 } \alpha
2019
\frac { d } { d \theta } \sqrt { \theta } = \frac { 1 } { 2 \sqrt { \theta } }
2014
b = b _ { 1 } + b _ { 2 } + \ldots
2016
\sum _ { n = 1 } ^ { N } ( - 1 ) ^ { n } \sin ( n x )
train
\sum _ { n = 1 } ^ { \infty } ( b _ { n } - b _ { n + 1 } )
train
- i
train
1 7 8 / 4 1 \geq 3
train
1 2 1 = 1 x 1 0 ^ { 2 } + 2 x 1 0 ^ { 1 } + 1 x 1 0 ^ { 0 } = 1 0 0 + 2 0 + 1
2014
3 ^ { 2 } - 1 = 8
train
k _ { 1 } , k _ { 2 } , k _ { 3 } , k _ { 4 }
train
\cos 3
train
- \frac { \sum \gamma - \int X d \beta } { \sqrt { z } }
train
X _ { k \times 1 }
train
\frac { 8 \pi r } { q ( r ) }
train
\pm \frac { \sqrt { 3 } } { 2 }
2019
0 . 7
train
\frac { 1 } { 2 } n ( n + 3 ) + 3
2019
\sqrt { x } \sqrt { y } = \sqrt { x } y
2014
f ( x ) = x ^ { n }
train
x = \frac { - b \pm \sqrt { b ^ { 2 } - 4 a c } } { 2 a }
train
E _ { k } = \frac { 1 } { 2 } m _ { 1 } v _ { 1 } ^ { 2 } + \frac { 1 } { 2 } m _ { 2 } v _ { 2 } ^ { 2 }
train
t = \frac { t _ { 0 } } { \sqrt { 1 - \frac { v ^ { 2 } } { c ^ { 2 } } } }
train
( a + b ) ^ { 2 } = a ^ { 2 } + 2 a b + b ^ { 2 }
2014
a _ { a b c } = a _ { c b a }
2016
[ \cdots - o ]
train
x ^ { c } = x ^ { c } _ { ( 0 ) } + y ^ { c }
2019
\int \limits _ { 0 } ^ { 1 } \int \limits _ { 0 } ^ { 1 } x ^ { 2 } y ^ { 2 } d x d y
train
1 0 0 + 1 8 9 \neq - 8 1
train
1 2 3 4 + 5 6 7 8 > 9 0
train
X ^ { 4 } - 1
train
6
train
\frac { d } { d x } a ^ { x }
2014
\sqrt { z }
train
c = c + 1
train
y ^ { i } y ^ { j } = y ^ { i + j }
2016
\cdots + e ( [ \sqrt { y } ] )
train
\sum a _ { n }
2014
3 . 0 0 0 0 0 0 0 3
2014
\sqrt { 7 } + 2 \sqrt { 7 } = 1 \sqrt { 7 } + 2 \sqrt { 7 } = 3 \sqrt { 7 }
2014
3 a ^ { 2 } b ^ { 3 } + 5 a ^ { 3 } b ^ { 2 } - \frac { a ^ { 5 } b ^ { 8 } } { 2 }
train
\frac { \sqrt { 1 + \cos ^ { 2 } ( \theta ) } } { 2 } = \cos ( 2 \theta )
train
- 4 ( \gamma + \log 4 ) + b - \frac { 4 B { \pi } ^ { 2 } { \sqrt { 1 - x } } } { { \sqrt { 1 + 3 x } } }
2019
e ^ { \int x ^ { 2 } d x }
train
\log _ { 2 } ( 2 ^ { 5 } ) = 5
train
1 - 3 9 \neq 4 6
train
y ^ { 4 } + y + 1 = 0
train
\tan a = 2 \beta
2019
\sqrt { y + l }
train
\sin x = \frac { a } { \sqrt { 1 + a ^ { 2 } } }
train
\frac { 1 } { 2 } - \sin ^ { 2 } \alpha
2019
\frac { b \pm \sqrt { b ^ { 2 } - 4 a c } } { 2 a }
train
x _ { 1 } + x _ { 2 } = x _ { 3 }
train
x _ { 1 } \times x _ { 2 } \times x _ { 3 } \times x _ { 4 } = X
train
[ b ^ { x } \{ ( \frac { a } { b } ) ^ { x } + 1 \} ] ^ { \frac { 1 } { x } }
train
[ a _ { 1 } ] \times [ a _ { 2 } ] \times [ a _ { 3 } ]
2019
\lim _ { a \rightarrow \infty } f ( a )
2014
\lim _ { x \rightarrow \frac { 1 } { 4 } } \frac { 1 - 4 ^ { x - \frac { 1 } { 4 } } } { 1 - 4 x }
train
\frac { p } { N } + \int \theta d C
train
y = a S ( t ) = a \int _ { 0 } ^ { t } \sin ( \frac { 1 } { 2 } \pi s ^ { 2 } ) d s
train
x ^ { k } + y ^ { k } \leq ( x + y ) ^ { k + 2 }
train
\theta + c
2014
\sqrt { 3 ^ { 2 } + 2 ^ { 2 } } = \sqrt { 1 3 }
2014
\frac { 4 x ^ { 2 } - 9 } { 4 x ^ { 2 } + 1 2 x + 9 }
2014
f ^ { ( i + k ) } ( 0 ) = f ^ { ( i ) } ( 0 ) f ^ { ( k ) } ( 0 )
2014
a _ { n } = a _ { 1 } + ( n - 1 ) d
train
[ e ]
2016