name stringlengths 4 70 | description stringlengths 31 8.62k | public_tests dict | private_tests dict | generated_tests dict | source int64 1 6 | difficulty int64 0 21 | solutions dict | incorrect_solutions dict | cf_contest_id int64 0 1.55k | cf_index stringclasses 23
values | cf_points float64 0 3.75k | cf_rating int64 0 3.5k | cf_tags listlengths 0 7 | is_description_translated bool 2
classes | untranslated_description stringclasses 36
values | time_limit dict | memory_limit_bytes int64 0 1.07B | input_file stringclasses 1
value | output_file stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
634_C. Factory Repairs | "We have a string s consisting of lowercase English letters. Snuke is partitioning s into some numbe(...TRUNCATED) | {
"input": [
"3\n3 2 2\n",
"4\n2 2 2 2\n"
],
"output": [
"4\n",
"3\n"
]
} | {"input":["99 100 100 100 100\n","57 83 11 4 93\n","99 99 99 99 99\n","100 0 0 0 0\n","0 1 2 3 4\n",(...TRUNCATED) | {"input":["1 1 1 2\n5\n1000000000 1 10000\n35510851 1188 5566\n1000000000 1 10000\n1 1 10000\n5 100 (...TRUNCATED) | 6 | 14 | {
"language": [],
"solution": []
} | {"language":[2,4,2,4,2,2,2,2,2,2,4,2,4,2,2,2,2,2,2,2,2,2,4,4,2,4,2,2,2,2,2,2,2,2,2,2,2,4,2,2,2,2,2,2(...TRUNCATED) | 1,070 | B | 2,500 | 1,000 | [
""
] | false | {
"nanos": 0,
"seconds": 5
} | 256,000,000 | |||
p00493 Zig-Zag Numbers | "Takahashi went to an all-you-can-eat buffet with N kinds of dishes and ate all of them (Dish 1, Dis(...TRUNCATED) | {"input":["3 1\n1 100 1","12 5\n43 94 27 3 69 99 56 25 8 15 46 8","3 1000\n1 100 1","6 14\n25 171 7 (...TRUNCATED) | {"input":["47\n169884146 730277703 8645016 732791141 331583052 25104065 895622218 478600214 92415406(...TRUNCATED) | {"input":["2\n1 20\n","10\n450661 128600 993228 725823 293549 33490 843121 528432 556169 448234\n","(...TRUNCATED) | 2 | 9 | {"language":[2,2,2,4,2,4,2,4,4,4,4,2,4,2,4,2,4,3,2,2,2,4,2,2,2,2,1,4,4,4,4,2,2,2,2,4,4,2,4,4,2,4,2,3(...TRUNCATED) | {"language":[2,2,4,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,3,2,2,2,2,2,2,2,2,2,4,3,2,2,2,2,2,2,3,2,2,2(...TRUNCATED) | 963 | A | 0 | 1,500 | [
"constructive algorithms"
] | false | null | 256,000,000 | |||
1144_B. Parity Alternated Deletions | Example
Input
2 -3 4
L 2 5
? 3 5
Output
2
L 4
L 3 | {"input":["4\n..E.\n.AD.\nB...\n..C.\nD\n4\n..E.\n.AD.\nB...\n..C.\nDR\n3\n...\n.A.\nBC.\n((URD)3L)2(...TRUNCATED) | {
"input": [],
"output": []
} | {"input":["9 3 23\n9 3 22\n10 3 28\n16 10 107\n20 8 102\n20 10 105\n20 10 155\n3 5 3\n4 2 11\n0 0 0"(...TRUNCATED) | 2 | 7 | {
"language": [],
"solution": []
} | {"language":[2,2,2,2,2,2,2,0,0,2,2,0,2,2,4,2,2,4,0,0,2,2,0,2,2,0,0,2,2,2,2,2,2,2,0,2,2,2,2,2,0,2,2,2(...TRUNCATED) | 85 | D | 1,000 | 0 | [
"dp",
"flows",
"graph matchings",
"greedy"
] | false | {
"nanos": 0,
"seconds": 2
} | 256,000,000 | |||
p01576 Exciting Bicycle | "Harry, upon inquiring Helena Ravenclaw's ghost, came to know that she told Tom Riddle or You-know-w(...TRUNCATED) | {
"input": [
"7\nabacaba\n",
"6\naabcfg\n"
],
"output": [
"YES\n2 3\n",
"NO\n"
]
} | {
"input": [],
"output": []
} | {"input":["1 16\n1\n","10 1\n-1 1 1 0 1 1 1 1 1 1\n","78 8\n-230 -757 673 -284 381 -324 -96 975 249 (...TRUNCATED) | 2 | 15 | {"language":[2,2,4,2,4,2,2,4,2,2,4,4,2,1,1,4,4,4,1,2,2,2,4,3,2,4,1,4,2,1,4,2,3,2,4,4,2,2,1,1,2,2,2,4(...TRUNCATED) | {
"language": [],
"solution": []
} | 0 | D | 0 | 0 | [
"data structures",
"greedy",
"two pointers"
] | false | {
"nanos": 0,
"seconds": 2
} | 64,000,000 | |||
1540_C1. Converging Array (Easy Version) | "Rakesh have learn about vowel in school and is given an assignment by his teacher in which he has t(...TRUNCATED) | {"input":["99999999999999999999999999999999999999999999999999999999999999999999999999999999999999999(...TRUNCATED) | {"input":["10 7\n1 10\n2 10\n3 10\n4 10\n5 10\n1 2\n1 3\n1 4\n1 5\n1 6\n","2 2\n1 1\n1 1\n","20 12\n(...TRUNCATED) | {"input":["5\n4\n1 2 3 4\n5 10 15 20\n4\n1 2 1 2\n5 10 15 20\n4\n2 2 4 1\n2 8 19 2\n2\n1 1\n6 9\n1\n(...TRUNCATED) | 3 | 2 | {"language":[3,2,2,4,3,4,4,3,3,3,2,1,1,2,3,2,4,4,3,4,3,4,3,2,3,4,1,3,1,3,3,3,1,2,3,1,2,4,3,4,1,3,3,3(...TRUNCATED) | {"language":[2,2,2,2,2,3,2,2,4,4,4,2,4,4,2,2,2,2,4,2,2,2,2,4,2,2,2,2,2,2,2,2,2,3,2,2,2,2,2,2,2,2,2,2(...TRUNCATED) | 914 | C | 1,250 | 2,000 | [] | false | {
"nanos": 0,
"seconds": 2
} | 1,073,741,824 | |||
1382_A. Common Subsequence | "You're given an array a_1, …, a_n of n non-negative integers.\n\nLet's call it sharpened if and o(...TRUNCATED) | {"input":["6\n3\n0 0\n1 1\n1 2\n2\n1 0\n1000 3\n4\n10 1\n15 2\n10 2\n15 2\n1\n765 432\n2\n4 4\n4 3\n(...TRUNCATED) | {
"input": [],
"output": []
} | {"input":["3\n3 2 0\n","3\n1 2 0\n","3\n2 0 2\n","11\n1 1 1 1 1 2 4 2 2 2 1\n","5\n1 1 2 1 2\n","5\n(...TRUNCATED) | 2 | 11 | {"language":[2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2],"solution":["#include<iostream>\n#include<algo(...TRUNCATED) | {
"language": [],
"solution": []
} | 1,189 | 500 | 0 | [
"meet-in-the-middle"
] | false | {
"nanos": 0,
"seconds": 5
} | 256,000,000 | ||||
615_A. Bulbs | "Strings can be efficiently stored as a data structure, to have efficient searching methods.\nA new (...TRUNCATED) | {
"input": [
"5 10\n-1 -1 -1 -1 -1\n",
"10 2\n10 -1 2 2 2 2 2 2 -1 10\n"
],
"output": [
"-1\n",
"32\n"
]
} | {"input":["21 6\n12 15 14 4 4 7 2 4 11 1 15 4 12 11 12 8 11 12 3 4 4\n","50 25\n19 1 17 6 4 21 9 16 (...TRUNCATED) | {"input":["777 20\n","110 4\n","12 4\n","500 2\n","11 4\n","1 8\n","26 11\n","91 4\n","20 4\n","123 (...TRUNCATED) | 5 | 8 | {"language":[2,2,2,3,4,2,4,4,4,2,2,4,4,4,2,2,2,2,4,2,2,2,4,3,4,2,4,2,2,2,3,2,2,4,2,4,4,2,4,4,2,3,2,2(...TRUNCATED) | {"language":[0,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,0,2,2,2,2,2,2,2,2,2,2,2,0,2,2,2,2,2],"solution":[(...TRUNCATED) | 875 | E | 2,500 | 0 | [
"constructive algorithms",
"math"
] | false | {
"nanos": 0,
"seconds": 1
} | 256,000,000 | |||
p02807 Dwango Programming Contest 6th - Fusing Slimes | "There is a staircase with N steps. Takahashi is now standing at the foot of the stairs, that is, on(...TRUNCATED) | {
"input": [
"1\n2 3 Chandu\n\nSAMPLE"
],
"output": [
"Daspal\n"
]
} | {
"input": [
"4\n4568\n4545992\n9265642\n4592886"
],
"output": [
"13598\n27154740\n58212156\n27455323\n"
]
} | {
"input": [],
"output": []
} | 2 | 9 | {"language":[2,2,2,2,2,2,2,4,2,2,1,4,2,2,2,2,4,2,4,2,2,2,4,2,2,4,2,2,2,2,2,2,2,2,2,2,2,2,1,2,2,2,2,2(...TRUNCATED) | {"language":[2,2,3,2,2,2,2,2,4,4,4,2,4,2,4,2,2,3,2,2,2,2,2,2,4,4,2,3,2,2,4,2,2,2,2,2,2,3,2,4,4,2,2,4(...TRUNCATED) | 0 | A | 0 | 1,000 | [
""
] | false | {
"nanos": 0,
"seconds": 2
} | 0 | |||
the-competitive-class-3 | "The black king is standing on a chess field consisting of 109 rows and 109 columns. We will conside(...TRUNCATED) | {
"input": [
"1\n5 3\n200 6 9"
],
"output": [
"120"
]
} | {"input":["1 1 10\n10\n10\n","2 2 10\n9 11\n11 8\n","1 1 1000000000\n1000000000\n1\n","1 1 50\n1\n10(...TRUNCATED) | {"input":["12\n161735902 211047202 430302156 450968417 628894325 707723857 731963982 822804784 88089(...TRUNCATED) | 5 | 10 | {"language":[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1(...TRUNCATED) | {"language":[3,1,4,4,2,1,4,4,3,4,3,4,4,2,4,1,3,2,2,3,2,4,1,2,2,1,2,1,3,2,2,2,4,4,2,2,3,3,4,2,2,2,3,1(...TRUNCATED) | 379 | 0 | 0 | [
""
] | false | {
"nanos": 0,
"seconds": 4
} | 0 | ||||
378_C. Maze | "The Smart Beaver from ABBYY began to develop a new educational game for children. The rules of the (...TRUNCATED) | {"input":["10\n","3\n"],"output":["1 2 3 4 5 6 7 8 9 \n2 4 6 8 10 12 14 16 18 \n3 6 9 1(...TRUNCATED) | {
"input": [],
"output": []
} | {"input":["2 8","9 5","7 10","3 8","9 8","7 7","6 8","7 9","7 8","7 3","7 2","9 2","9 4","9 6","5 6"(...TRUNCATED) | 2 | 8 | {
"language": [],
"solution": []
} | {"language":[3,3,2,0,0,3,2,2,4,2,0,4,0,0,0,0,2,0,2,0,2,2,0,0,0,2,2,1,2,3,2,2,0,4,2,4,2,2,2,2,2,2,3,0(...TRUNCATED) | 0 | 2,000 | 1,500 | [
"brute force",
"greedy"
] | false | {
"nanos": 525000000,
"seconds": 2
} | 256,000,000 |
End of preview. Expand in Data Studio
edition_0583_deepmind-code_contests-readymade
A Readymade by TheFactoryX
Original Dataset
Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them as art.
What we did:
- Selected the original dataset from Hugging Face
- Shuffled each column independently
- Destroyed all row-wise relationships
- Preserved structure, removed meaning
The result: Same data. Wrong order. New meaning. No meaning.
Purpose
This is art. This is not useful. This is the point.
Column relationships have been completely destroyed. The data maintains its types and values, but all semantic meaning has been removed.
Part of the Readymades project by TheFactoryX.
"I am a machine." — Andy Warhol
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