name large_stringlengths 4 70 | description large_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 large_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 large_stringclasses 36
values | time_limit dict | memory_limit_bytes int64 0 1.07B | input_file large_stringclasses 1
value | output_file large_stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
p01356 Nearest Station | "Sita loves chocolate and Ram being his boyfriend wants to give Sita as many chocolates as he can. S(...TRUNCATED) | {
"input": [
"1\n5 3\n200 6 9"
],
"output": [
"120"
]
} | {"input":["1 1 2 2\n1000000000 1000000000\n1\n","1 1 1000000000 1000000000\n100 1000000000\n1\n","1 (...TRUNCATED) | {"input":["100 1 7\n83\n174\n191\n145\n167\n55\n232\n157\n51\n209\n85\n73\n216\n39\n72\n76\n132\n70\(...TRUNCATED) | 2 | 9 | {"language":[2,4,1,2,2,2,1,2,2,4,2,4,4,3,1,2,4,2,4,2,3,1,1,4,3,4,4,4,2,3,4,4,4,1,1,2,2,4,1,4,4,4,2,1(...TRUNCATED) | {
"language": [],
"solution": []
} | 0 | 0 | 0 | [
""
] | false | null | 1,073,741,824 | ||||
949_C. Data Center Maintenance | "In code world all genders are considered equal ( It means their is nothing like male or female). No(...TRUNCATED) | {
"input": [
"2\n27 25 4\n25 26 16\n\nSAMPLE"
],
"output": [
"K-G-B\nX-Y-B"
]
} | {"input":["10\n100000000 200000000 300000000 20 500000000 600000000 700000000 800000000 900000000 10(...TRUNCATED) | {"input":["5\n2 1 1 1 2\n","6\n5 1 3 4 8 3\n","5\n1 5 7 1 2\n","6\n5 1 3 4 5 3\n","2\n1000010 100100(...TRUNCATED) | 2 | 9 | {"language":[2,2,2,2,2,2,2,2,4,2,2,2,2,2,2,2,2,2,2,2,2,4,2,2,2,2,2,2,2,2,2,2,2,2,2,2,3,2,2,2,2,2,2,2(...TRUNCATED) | {"language":[4,0,0,0,2,0,0,4,2,2,0,0,2,2,0,4,4,2,0,0,2,2,2,4,2,2,0,0,2,4,2,2,4,2,0,4,4,0,0,0,0,0,0,2(...TRUNCATED) | 80 | F | 0 | 1,900 | [
"geometry",
"math"
] | false | "ある日、たろう君は、本文に「519345213244」という数字だけが書いてあるお(...TRUNCATED) | {
"nanos": 0,
"seconds": 2
} | 1,073,741,824 | ||
1170_B. Bad Days | "A monster is attacking the Cyberland!\n\nMaster Yang, a braver, is going to beat the monster. Yang (...TRUNCATED) | {"input":["2\n10 1\n1 2 -3 -5 4 6 -3 2 -1 2\n10 2\n1 2 -3 -5 4 6 -3 2 -1 2\n\nSAMPLE"],"output":["12(...TRUNCATED) | {"input":["20\n.*..*...*....*.....*\n","97\n****.***.***.*..**.**.*.*.***.*............*..*......*.*(...TRUNCATED) | {"input":["34 20 1\n17 13\n","1 0 0\n","10000 9999 1\n8594 9264\n","98 100 25\n96 100\n97 100\n97 99(...TRUNCATED) | 2 | 11 | {"language":[2,2,2,2,2,2,2,2,2,4,2,2,2,2,2,2,2,2,2,2,2,2,4,2,2,2,2,2,2,2,4,4,2,2,2,2,2,2,2,2,2,2,2,2(...TRUNCATED) | {"language":[2,3,3,2,3,2,3,2,3,3,2,3,3,3,2,2,3,3,3,2,3,0,3,2,3,3,2,2,2,3,3,0,2,2,0,3,3,3,0,2,3,2,3,3(...TRUNCATED) | 203 | 500 | 0 | [
"greedy",
"implementation"
] | false | {
"nanos": 0,
"seconds": 3
} | 256,000,000 | ||||
ig01 | "Today on a lecture about strings Gerald learned a new definition of string equivalency. Two strings(...TRUNCATED) | {
"input": [
"4\naaa\nabc\nabdbca\nabba"
],
"output": [
"YES\nNO\nYES\nYES\n"
]
} | {"input":["6\nc armor 0 13 0 3\na weapon 23 0 0 3\nb weapon 20 0 0 4\ne orb 0 0 13 3\nd armor 0 15 0(...TRUNCATED) | {"input":["3\n((()))\n(())()\n()())","3\n((()()\n(())()\n()(()","3\n((()))\n(())))\n()())","3\n)))(((...TRUNCATED) | 6 | 0 | {"language":[3,4,2,3,4,4,3,3,3,4,4,2,4,4,3,3,4,1,2,3,3,2,4,2,4,4,2,2,2,2,4,2,2,4,4,4,3,2,4,4,3,4,2,4(...TRUNCATED) | {"language":[2,2,4,2,2,2,2,2,2,2,4,2,2,2,2,2,2,2,2,4,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2(...TRUNCATED) | 0 | C | 0 | 1,700 | [
"geometry",
"math"
] | false | {
"nanos": 0,
"seconds": 2
} | 134,217,728 | |||
p03371 AtCoder Beginner Contest 095 - Half and Half | "In one well-known algorithm of finding the k-th order statistics we should divide all elements into(...TRUNCATED) | {
"input": [
"5\n1 2\n1 3\n3 4\n2 5"
],
"output": [
"1"
]
} | {"input":["46\n63 1\n63 63\n123 1\n123 123\n63 2\n63 62\n123 2\n123 122\n63 3\n63 61\n123 3\n123 121(...TRUNCATED) | {"input":["3 313 856 964 421\n","3 3 1 11 9\n","2 2 9 8 1\n","61 538 623 89 548\n","7 202 512 995 37(...TRUNCATED) | 6 | 10 | {
"language": [],
"solution": []
} | {"language":[2,2,2,2,4,2,2,2,2,2,2,1,4,3,2,2,2,2,2,1,2,3,2,2,2,4,4,2,2,2,2,4,2,2,2,2,2,2,2,2,2,2,2,2(...TRUNCATED) | 1,366 | A | 0 | 2,000 | [] | true | {
"nanos": 0,
"seconds": 2
} | 256,000,000 | |||
519_B. A and B and Compilation Errors | "Problem description.\nVipul is a hardworking super-hero who maintains the bracket ratio of all the (...TRUNCATED) | {
"input": [
"5\nZZZAA\n",
"7\nABACABA\n"
],
"output": [
"ZZ\n",
"AB\n"
]
} | {
"input": [],
"output": []
} | {"input":["10000 01000 00100 11000 01100 11111 01110 11100 10110 11110\n10101 01000 00000 11001 0110(...TRUNCATED) | 1 | 9 | {"language":[2,3,4,3,4,3,4,3,3,3,3,2,3,3,4,4,4,3,4,3,2,3,3,4,1,2,3,4,3,2,1,3,4,3,3,4,4,3,1,1,3,3,3,3(...TRUNCATED) | {"language":[4,2,4,3,2,2,3,4,2,4,3,3,3,4,2,2,4,3,4,2,2,2,3,4,2,2,2,2,4,3,4,2,2,4,2,2,4,3,2,3,4,2,2,2(...TRUNCATED) | 0 | 0 | 0 | [
""
] | false | {
"nanos": 0,
"seconds": 2
} | 256,000,000 | ||||
lexicographically-preceding-permutation | "After playing Neo in the legendary \"Matrix\" trilogy, Keanu Reeves started doubting himself: maybe(...TRUNCATED) | {
"input": [
"3\n4251\n52310\n00006\n\nSAMPLE"
],
"output": [
"12\n56\nunlucky"
]
} | {
"input": [],
"output": []
} | {"input":["202763616\n","1778707511\n","181182141\n","1438\n","55068349\n","324423196\n","339071627\(...TRUNCATED) | 2 | 13 | {"language":[1,2,4,2,3,3,3,4,3,3,4,3,4,2,3,3,4,4,2,3,4,2,4,4,2,3,3,2,2,1,3,3,3,3,2,4,3,4,4,4,3,3,3,2(...TRUNCATED) | {"language":[2,2,2,2,2,3,2,2,3,2,2,2,2,4,3,3,2,4,2,2,2,2,4,2,3,4,2,2,2,2,2,2,4,2,2,2,2,2,3,2,2,2,2,2(...TRUNCATED) | 1,281 | A | 0 | 1,400 | [
"binary search",
"data structures",
"divide and conquer",
"greedy",
"implementation"
] | false | {
"nanos": 0,
"seconds": 3
} | 256,000,000 | |||
gcd2 | "Panda has a thing for palindromes. Hence he was a given a problem by his master. The master will g(...TRUNCATED) | {
"input": [
"1 2 10\n11\n15 7\n",
"2 4 50\n20 100\n60 10 40 80\n"
],
"output": [
"7",
"50"
]
} | {
"input": [],
"output": []
} | {"input":["1 0\n25 47 15","1 0\n16 47 15","1 0\n31 47 15","2 0\n31 47 13","2 0\n31 47 20","2 0\n31 4(...TRUNCATED) | 1 | 0 | {
"language": [],
"solution": []
} | {"language":[2,4,2,2,2,2,3,2,2,2,1,2,2,2,4,2,2,2,4,4,1,2,4,4,2,1,4,4,4,2,2,2,2,4,2,2,2,1,2,4,2,2,2,2(...TRUNCATED) | 1,328 | 0 | 1,400 | [
"implementation",
"strings"
] | false | {
"nanos": 0,
"seconds": 6
} | 256,000,000 | ||||
1012_E. Cycle sort | "In a mystical TimeLand, a person's health and wealth is measured in terms of time(seconds) left. \n(...TRUNCATED) | {"input":["6\n4 2\nbbab\n7 5\ncceddda\n6 5\necdaed\n7 4\ndcdbdaa\n8 3\nccabbaca\n5 7\neabba\n"],"out(...TRUNCATED) | {
"input": [],
"output": []
} | {"input":["5\n90 94\n26 25\n64 84\n18 6\n20 96\n","5\n1912 1\n5 6\n999 1\n88 2\n11 100\n","5\n90 94\(...TRUNCATED) | 2 | 9 | {"language":[2,2,2,2,2,2,2,2,3,3,4,2,2,2,4,4,2,2,2,2,2,2,4,4,2,2,2,2,2,2,2,4,2,2,2,2,4,1,3,4,4,2,2,4(...TRUNCATED) | {"language":[2,2,3,2,3,2,2,0,4,0,0,2,2,4,2,3,2,2,3,3,3,2,0,2,3,2,2,2,3,2,0,0,2,3,2,3,3,0,2,0,2,0,3,3(...TRUNCATED) | 378 | D | 0 | 1,800 | [
""
] | false | {
"nanos": 0,
"seconds": 1
} | 256,000,000 | |||
find-the-nth-prime | "You are running through a rectangular field. This field can be represented as a matrix with 3 rows (...TRUNCATED) | {
"input": [
"0.0,0.0,1.0,0.0,1.0,1.0,0.0,1.0\n0.0,0.0,3.0,0.0,1.0,1.0,1.0,3.0"
],
"output": [
"YES\nNO"
]
} | {
"input": [],
"output": []
} | {"input":["3 5 10\nred\n0 0 0\n5 0 0\ngreen\n0 5 5\n5 6 1\nblue\n0 40 5\n5 0 0\n3 10 5\nbtom\n0 47 3(...TRUNCATED) | 2 | 0 | {"language":[4,2,2,2,2,4,2,2,2,4,2,2,2,2,2,2,2,2,2,4,4,2,2,2,2,4,4,2,2,2,2,4,2,2,2,2,2,2,4,2,2,2,4,1(...TRUNCATED) | {"language":[4,4,2,1,2,3,2,4,3,4,3,3,4,2,3,3,3,3,2,4,3,3,3,4,4,2,3,2,3,4,2,2,2,4,2,3,2,3,4,3,2,3,3,3(...TRUNCATED) | 720 | 0 | 2,400 | [
"greedy"
] | false | {
"nanos": 0,
"seconds": 2
} | 512,000,000 |
End of preview. Expand in Data Studio
edition_2957_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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