Dataset Viewer
question
stringlengths 3
504
| steps
sequencelengths 1
7
| answer
float64 -99,997.96
100k
⌀ |
|---|---|---|
53/59+30
|
[
"30.89831"
] | 30.9
|
75+88
|
[
"163"
] | 163
|
(95/10)-(43-61)
|
[
"9.5--18",
"9.5+18",
"27.5"
] | 27.5
|
28.35/9.61
|
[
"2.95005"
] | 2.95
|
88.08/32.33
|
[
"2.7244"
] | 2.72
|
12.79/88.26/93.45-43.18
|
[
"-43.17845"
] | -43.18
|
96.23/89.57-93.12*27.61
|
[
"-2569.96884"
] | -2,569.97
|
86+55
|
[
"141"
] | 141
|
(89-83+18*49)/((10.93/46.46-20.69+70.15)/((9.73*95.65+10.65)/(81.55+47.9-88.03)-(52.42+37.36/55.7))+((48.31*18.33)-(36*12)*(31.48*99.61+80.22-82.04)/(29.94*22.87/51.32))-(65+69/63))
|
[
"888/(49.69526/(941.3245/41.42-53.09074)+(885.5223-432*3133.9028/13.34232)-66.09524)",
"888/(49.69526/-30.36441+-100584.5376-66.09524)",
"888/-100652.26947",
"-0.00882"
] | -0.01
|
8*56
|
[
"448"
] | 448
|
(((14-18+19*36)/(94.2*63.44)/(65/71-58)+(87+35))+(89-78+90)+((36/10/21/8)-(32+40)))/(27-35)-(77.54*97.38/54.08-97.0)+((46.89*92.16)+((82-82+17)/(61.95*77.97-37.43)))
|
[
"((680/5976.048/-57.08451+122)+101+(0.02143-72))/-8-42.62362+(4321.3824+(17/4792.8115))",
"(121.99801+101+-71.97857)/-8-42.62362+(4321.3824+0.00355)",
"151.01944/-8-42.62362+4321.38595",
"4259.8849"
] | 4,259.88
|
35.07+32.81-32.17/2.58
|
[
"55.41101"
] | 55.41
|
32.64+92.41*43.61
|
[
"4062.6401"
] | 4,062.64
|
50.24/52.73+25.1+49.56
|
[
"75.61278"
] | 75.61
|
8-96
|
[
"-88"
] | -88
|
4/3
|
[
"1.33333"
] | 1.33
|
(80.06*2.99)+(33+74*37)+(57.89+34.71+33.59)*(5.85+52.17)
|
[
"239.3794+2771+126.19*58.02",
"10331.9232"
] | 10,331.92
|
10.74*58.88*65.87+91.14
|
[
"41745.43094"
] | 41,745.43
|
44.5+93.02*93.49
|
[
"8740.9398"
] | 8,740.94
|
69*60
|
[
"4140"
] | 4,140
|
87-60
|
[
"27"
] | 27
|
76.16-7.83/97.92/16.31
|
[
"76.1551"
] | 76.16
|
28.18-97.13
|
[
"-68.95"
] | -68.95
|
(82.27-10.19)-(26.14/84.24)+(38*44)
|
[
"72.08-0.3103+1672",
"1743.7697"
] | 1,743.77
|
66.9*32.31-31.46
|
[
"2130.079"
] | 2,130.08
|
75.25/90.78*98.24+37.02
|
[
"118.4538"
] | 118.45
|
52.04+65.98
|
[
"118.02"
] | 118.02
|
13.34*95.62*61.97/16.94
|
[
"4666.30003"
] | 4,666.3
|
82/81/74*74
|
[
"1.01235"
] | 1.01
|
14.37*34.59+74.16/15.09
|
[
"501.97281"
] | 501.97
|
69.36/84.99
|
[
"0.8161"
] | 0.82
|
66/28
|
[
"2.35714"
] | 2.36
|
39.71*15.58-93.13
|
[
"525.5518"
] | 525.55
|
51.58*66.18/37.68
|
[
"90.59354"
] | 90.59
|
32.64*56.05
|
[
"1829.472"
] | 1,829.47
|
(((38-43)+(16.21/72.31/10.97*29.06))+((71+52+14)/(98.82*49.28)+(34-95/68)))*(12+63)
|
[
"((-5+0.59385)+(137/4869.8496+32.60294))*75",
"(-4.40615+32.63107)*75",
"28.22492*75",
"2116.869"
] | 2,116.87
|
61.82*39.02
|
[
"2412.2164"
] | 2,412.22
|
79/47
|
[
"1.68085"
] | 1.68
|
99-46
|
[
"53"
] | 53
|
8+11
|
[
"19"
] | 19
|
(72.68/66.72)*((18.75+6.52+26.9*34.61)/(15.61/22.95))
|
[
"1.08933*(956.279/0.68017)",
"1.08933*1405.94116",
"1531.53388"
] | 1,531.53
|
15/49-86
|
[
"-85.69388"
] | -85.69
|
(82.51+69.78)-(88.23-3.13*74.48)
|
[
"152.29--144.8924",
"152.29+144.8924",
"297.1824"
] | 297.18
|
(50.83/16.04-10.62+10.27)*((84/7+6)/(4.85-5.3)+(40/89/87-31))+(87.33*19.48/62.5)+(((60.53-34.01-53.46)/(78-29)-(10*39))+((57/31)*(22/3+44-71)-(24/69)+(74.59*53.53-94.44)))
|
[
"2.81895*(18.0/-0.45+-30.99483)+27.21901+((-26.94/49-390)+(1.83871*-19.66667-0.34783+3898.3627))",
"2.81895*-70.99483+27.21901+(-390.5498+3861.85357)",
"2.81895*-70.99483+27.21901+3471.30377",
"3298.3919"
] | 3,298.39
|
58.68/38.71+66.28+4.5
|
[
"72.29589"
] | 72.3
|
6.98/66.43+24.12+88.35
|
[
"112.57507"
] | 112.58
|
26+54*95-56
|
[
"5100"
] | 5,100
|
30.99/82.95/78.77+71.96
|
[
"71.96474"
] | 71.96
|
72.61-69.52*47.32
|
[
"-3217.0764"
] | -3,217.08
|
20.55-15.72*23.16
|
[
"-343.5252"
] | -343.53
|
66*30
|
[
"1980"
] | 1,980
|
47/30
|
[
"1.56667"
] | 1.57
|
61.97/82.45
|
[
"0.75161"
] | 0.75
|
(30.62*22.42*16.91-88.39)-((1.29*54.23)+((56.25*77.88+7.54-76.57)/(25.6/68.22))/(83.39*31.2)-((31.46/43.91-10.8+35.55)*(78.26-39.64+70.73)*(7.31-53.9-8.63)/(48*8+83+62)))+(((12-33)+(75.9*34.08)+(34-66-31))-((43+98*58)-(41.43+66.97/90.72)*(76.71+60.58)*(41-59))/(83.78-94.43+28.94)/(74/31+28))
|
[
"11520.33176-(69.9567+(4311.72/0.37526)/2601.768-(25.46647*109.35*-55.22/529))+((-21+2586.672+-63)-(5727-42.16821*137.29*-18)/18.29/30.3871)",
"11520.33176-(69.9567+11489.95363/2601.768--290.68878)+(2502.672-109933.92392/18.29/30.3871)",
"11520.33176-(69.9567+11489.95363/2601.768+290.68878)+(2502.672-109933.92392/18.29/30.3871)",
"11520.33176-365.06169+2304.87087",
"13460.14094"
] | 13,460.14
|
51+14/21
|
[
"51.66667"
] | 51.67
|
23.56-86.47/64.95
|
[
"22.22867"
] | 22.23
|
23.75+17.55+88.84
|
[
"130.14"
] | 130.14
|
2.52*28.82
|
[
"72.6264"
] | 72.63
|
7-81
|
[
"-74"
] | -74
|
97+3
|
[
"100"
] | 100
|
14*55/27*76
|
[
"2167.40741"
] | 2,167.41
|
32*33+67*7
|
[
"1525"
] | 1,525
|
13*88-36
|
[
"1108"
] | 1,108
|
38.55*96.88-13.68
|
[
"3721.044"
] | 3,721.04
|
42+89*41
|
[
"3691"
] | 3,691
|
18.0-98.7
|
[
"-80.7"
] | -80.7
|
68.99*22.13*61.82+30.4
|
[
"94414.00463"
] | 94,414
|
57.43-56.75/9.46
|
[
"51.43106"
] | 51.43
|
93.77*51.77
|
[
"4854.4729"
] | 4,854.47
|
51.7/90.13/8.43
|
[
"0.06804"
] | 0.07
|
(57.62+18.19+49.31)+(16.44-9.03/40.91)-(90.39+93.07+71.94-48.04)
|
[
"125.12+16.21927-207.36",
"-66.02073"
] | -66.02
|
85/69
|
[
"1.23188"
] | 1.23
|
81.99/36.47
|
[
"2.24815"
] | 2.25
|
62-27*4/55
|
[
"60.03636"
] | 60.04
|
69.38*71.71+31.3
|
[
"5006.5398"
] | 5,006.54
|
(32.47+18.0*34.75/37.93)-(60+43-64-97)
|
[
"48.9609--58",
"48.9609+58",
"106.9609"
] | 106.96
|
26.95/30.63-26.94
|
[
"-26.06014"
] | -26.06
|
(5.45-99.84)-(67.68/75.77)-(28-90-45)
|
[
"-94.39-0.89323--107",
"-94.39-0.89323+107",
"11.71677"
] | 11.72
|
12.13-81.24/61.05+54.72
|
[
"65.51929"
] | 65.52
|
52*52
|
[
"2704"
] | 2,704
|
(53*66/78)+(16*74/55)+(28.17+79.43)
|
[
"44.84615+21.52727+107.6",
"173.97342"
] | 173.97
|
62/8
|
[
"7.75"
] | 7.75
|
38+49
|
[
"87"
] | 87
|
81.89+13.51-11.41
|
[
"83.99"
] | 83.99
|
6+35
|
[
"41"
] | 41
|
(65+9*16)+(63/6+79)+(53.43-31.4)+(23/2)
|
[
"209+89.5+22.03+11.5",
"332.03"
] | 332.03
|
88-4/92-8
|
[
"79.95652"
] | 79.96
|
84-8/5/52
|
[
"83.96923"
] | 83.97
|
72.09*40.93
|
[
"2950.6437"
] | 2,950.64
|
17.54+76.99
|
[
"94.53"
] | 94.53
|
59*81+53
|
[
"4832"
] | 4,832
|
26.23/15.67-90.25
|
[
"-88.5761"
] | -88.58
|
81-99/42
|
[
"78.64286"
] | 78.64
|
76.65/49.18
|
[
"1.55856"
] | 1.56
|
41*66
|
[
"2706"
] | 2,706
|
49.65-76.72*76.96
|
[
"-5854.7212"
] | -5,854.72
|
(6-17*38+73)-(80.92/10.7)/(49*30+88+62)
|
[
"-567-7.56262/1620",
"-567.00467"
] | -567
|
44.37/42.07*15.97
|
[
"16.84309"
] | 16.84
|
21.57*12.18-73.67-36.79
|
[
"152.2626"
] | 152.26
|
19.69*42.06
|
[
"828.1614"
] | 828.16
|
End of preview. Expand
in Data Studio
YAML Metadata
Warning:
The task_categories "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
Primary School Maths-500k Dataset
This repository contains a synthetic dataset of arithmetic expressions designed for fifth-grade level practice. The dataset is formatted in JSON and includes both the step-by-step intermediate results and the final rounded answer.
Dataset Overview
- Purpose: Provide a collection of basic arithmetic problems (addition, subtraction, multiplication, and division) that any fifth grader could solve.
- Data Type: JSON file containing a list of problem instances.
- Split: 90% training, 10% testing.
Data Format
Each entry in the JSON list has the following structure:
{
"question": "<expression>",
"steps": [
"<intermediate step 1>",
"<intermediate step 2>",
...
],
"answer": <float or null>
}
- question: A string containing the arithmetic expression, using Python syntax. Only the operators
+,-,*, and/are used. Nested operations follow standard precedence rules, and chained divisionx/y/zis parsed as(x/y)/z. - steps: A list of strings capturing each major intermediate calculation (up to five decimal places). If a division by zero occurs at any step, the final step records an error message (e.g.,
"Division by Zero is not possible"). - answer: The final result rounded to two decimal places, or
nullif the expression could not be evaluated (e.g., due to division by zero).
Numerical Precision
- Intermediate results are computed and recorded with five decimal digits of precision.
- Final answers are rounded to two decimal digits.
- All absolute answers satisfy
0.005 < |answer| < 100000.
Value Range
- All numeric values in the questions range from 1 to 100.
- The final answer for each valid expression lies outside the interval
[-0.005, 0.005]and within(-100000, 100000).
Train/Test Split
The dataset is split into 90% training and 10% testing subsets.
Filenames:
train.json— 90% of the data.test.json— 10% of the data.
Examples
Valid expression:
{
"question": "87*38",
"steps": ["3306"],
"answer": 3306
}
Expression with step-by-step precision:
{
"question": "(61/48/90)/((17-38)+((83.34-14.71*41.33)-(10.36*1.72*36.11)-(56*53*98))+(23.72*49.97/77.8))+(43.88*30.28)",
"steps": [
"0.01412/(-21+(-524.6243-643.45131-290864)+15.23507)+1328.6864",
"0.01412/(-21+-292032.07561+15.23507)+1328.6864",
"0.01412/-292037.84054+1328.6864",
"1328.6864"
],
"answer": 1328.69
}
Division by zero:
{
"question": "(36-27)/(98-98)",
"steps": ["9/0" , "Division by Zero is not possible"],
"answer": null
}
Licensing and Attribution
This dataset is released under the MIT license.
- Downloads last month
- 16