Dataset Viewer
Auto-converted to Parquet Duplicate
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
167_C. Wizards and Numbers
"A and B are preparing themselves for programming contests.\n\nB loves to debug his code. But before(...TRUNCATED)
{"input":["3\nTroll likes Dracul\nDracul likes Anka\nSnowy likes Hexadecimal\n210 200 180\n","2\nAnk(...TRUNCATED)
{ "input": [], "output": [] }
{"input":["1000\nspnogbxcrp\nbaukbqnmyu\nogxdxhtcwz\nbsjufplykz\nkhicdrdixl\nzookiqggel\nfczygjfhfa\(...TRUNCATED)
2
0
{"language":[1,3,2,2,2,3,4,2,4,3,3,3,2,3,1,3,3,3,3,3,3,2,3,4,3,3,4,3,3,3,3,3,4,3,4,2,3,3,2,3,4,3,3,3(...TRUNCATED)
{"language":[0,2,2,0,2,2,2,0,2,0,2,2,2,2,2,0,0,2,3,2,0,2,2,0,0,2,4,2,2,2,2,2,2,2,2,0,2,0,2,0,2,2,1,0(...TRUNCATED)
306
E
50
0
[ "data structures" ]
false
{ "nanos": 0, "seconds": 2 }
256,000,000
784_B. Kids' Riddle
"The black king is standing on a chess field consisting of 109 rows and 109 columns. We will conside(...TRUNCATED)
{"input":["? - ? = 1\n","? + ? - ? + ? + ? = 42\n","? = 1000000\n"],"output":["Impossible\n","Possib(...TRUNCATED)
{"input":["20 20\n0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n","10 4\n0 1 4 2 7 0 10 0 5 8\n","10 7\n1(...TRUNCATED)
{"input":["3\n3 0 2 5\n1 1 1 6\n3 2 1 10\n1 -2 3 6\n2\n1 2\n3 3\n1\n2\n3\n0\n3 0 2 5\n1 1 1 6\n3 2 1(...TRUNCATED)
2
0
{"language":[3,2,2,2,3,3,4,3,3,4,2,3,2,4,2,2,4,2,2,2,2,4,3,2,3,2,2,4,4,4,2,2,2,3,3,2,3,3,2,3,2,2,3,2(...TRUNCATED)
{"language":[2,2,2,2,4,2,4,2,4,2,2,2,4,2,2,2,3,2,2,2,2,2,0,2,2,2,4,2,2,4,2,0,2,2,2,2,1,0,2,2,1,2,2,2(...TRUNCATED)
1,466
B
0
3,200
[]
false
{ "nanos": 0, "seconds": 1 }
256,000,000
868_A. Bark to Unlock
"One day, Taro received a strange email with only the number \"519345213244\" in the text. The email(...TRUNCATED)
{ "input": [ "2\n27 25 4\n25 26 16\n\nSAMPLE" ], "output": [ "K-G-B\nX-Y-B" ] }
{"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":["5\n10 50\n11 50\n10 50\n10 50\n10 50\n","3\n1000 3000\n1500 1302\n3000 1000\n","43\n75 16(...TRUNCATED)
2
9
{"language":[2,2,2,2,2,2,2,2,4,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2(...TRUNCATED)
{ "language": [], "solution": [] }
1,397
500
2,400
[ "bitmasks", "combinatorics", "dp" ]
false
"\n\n問題\n\nあなたは星空の写真の中から星座を探している.写真には必ず(...TRUNCATED)
{ "nanos": 0, "seconds": 1 }
256,000,000
1070_C. Cloud Computing
"Continuing from previous version of codeXplod series i.e. CodeXplod 1.0,Chandu and daspal are still(...TRUNCATED)
{"input":["3 2 998244353\n","9 3 998244353\n","3 1 998244353\n","9 4 998244353\n"],"output":["665496(...TRUNCATED)
{ "input": [], "output": [] }
{"input":["3\n9 5 8\n8 9 3\n9 5 2\n","50\n48 45 42\n32 45 8\n15 41 47\n32 29 38\n7 16 48\n19 9 21\n1(...TRUNCATED)
2
7
{"language":[3,2,4,3,3,3,3,3,3,2,4,3,4,4,3,2,3,2,2,3,4,2,3,2,4,4,4,3,2,3,2,4,3,2,3,4,4,3,2,2,4,2,2,4(...TRUNCATED)
{ "language": [], "solution": [] }
1,420
0
0
[ "greedy" ]
false
{ "nanos": 0, "seconds": 1 }
256,000,000
789_A. Anastasia and pebbles
"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\n0 1 1\n1 0 4\n1 4 0\n", "4\n0 1 2 3\n1 0 4 5\n2 4 0 6\n3 5 6 0\n" ], "output": [ "2", "5" ] }
{ "input": [], "output": [] }
{"input":["+dab\n+abac\n-abac\n+baca\n","+Dmitry\n+Mike\nDmitry:All letters will be used\nDmitry:qwe(...TRUNCATED)
2
11
{"language":[2,2,2,3,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,3,2,4,2,2,2,2,2,2,2,4,2,2,2,2(...TRUNCATED)
{"language":[2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,4,2,2,2,2,4,2,2,4,4,2,2,2,2,2,2,4,2,2,4,2,4,2,2,2,2,2(...TRUNCATED)
361
A
0
900
[ "math", "number theory", "sortings" ]
false
{ "nanos": 0, "seconds": 2 }
256,000,000
discover-the-monk
"You are given a table consisting of n rows and m columns. Each cell of the table contains either 0 (...TRUNCATED)
{ "input": [ "3\n4251\n52310\n00006\n\nSAMPLE" ], "output": [ "12\n56\nunlucky" ] }
{"input":["447244\n","958507\n","816923\n","836603\n","862795\n","756604\n","1000000\n","4\n","66882(...TRUNCATED)
{"input":["2\n999999\n1000100","3\n9\n99\n238","2\n999999\n1010100","3\n9\n99\n39","2\n999999\n10101(...TRUNCATED)
2
9
{"language":[3,3,3,3,3,2,3,3,3,3,3,4,4,4,3,2,3,3,3,2,3,2,2,3,2,4,2,3,3,3,4,2,2,3,2,2,2,3,3,3,3,2,2,2(...TRUNCATED)
{"language":[4,0,0,2,2,2,3,3,2,3,2,3,2,3,1,3,2,2,2,2,4,2,2,3,0,2,3,3,2,2,3,3,2,2,4,3,2,2,2,2,2,3,3,2(...TRUNCATED)
371
D2
0
0
[ "combinatorics", "divide and conquer" ]
true
{ "nanos": 0, "seconds": 1 }
256,000,000
lucky5
"You are given a string s consisting of n lowercase Latin letters.\n\nLet's define a substring as a (...TRUNCATED)
{"input":["1\n3\n1 2\n2 3\n1\n1\n1\n2\n2\n1\n","2\n6\n1 2\n1 3\n1 4\n4 5\n4 6\n4\n1 3 4 5\n3\n3 5 2\(...TRUNCATED)
{"input":["4 10\n1 333333333 666666666 1000000000\n1000000000 1000000000 1000000000 1000000000\n1 1\(...TRUNCATED)
{"input":["100\n95 54 23 27 51 58 94 34 29 95 53 53 8 5 64 32 17 62 14 37 26 95 27 85 94 37 85 72 88(...TRUNCATED)
2
11
{"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":[1,2,2,2,2,3,2,4,2,1,2,4,2,3,4,2,2,3,3,3,4,2,4,2,2,2,2,3,2,1,4,2,2,2,2,4,2,1,2,2,2,4,4,2(...TRUNCATED)
0
F
2,750
1,900
[ "constructive algorithms" ]
false
{ "nanos": 0, "seconds": 1 }
256,000,000
1328_F. Make k Equal
"In the previous problem Chandu bought some unsorted arrays and sorted them (in non-increasing order(...TRUNCATED)
{ "input": [ "2\n2 1\n5 4\n3 2\n1 0 2\n\nSAMPLE" ], "output": [ "9\n1\n" ] }
{ "input": [], "output": [] }
{"input":["16 20 2\n10 3\n5 3\n10 5\n12 7\n7 6\n9 10\n9 6\n1 10\n11 16\n11 1\n16 2\n10 2\n14 4\n15 1(...TRUNCATED)
6
9
{"language":[2,2,2,4,2,2,3,4,2,4,2,2,3,2,4,2,2,2,4,2,2,4,2,4,2,4,2,4,2,2,4,2,2,4,2,4,2,4,2,2,4,3,4,2(...TRUNCATED)
{"language":[4,4,4,4,3,2,2,2,1,2,2,2,2,4,4,2,2,4,2,4,4,2,2,3,2,1,3,2,2,2,2,3,2,2,2,2,2,2,2,2,2,2,2,2(...TRUNCATED)
1,046
1,750
800
[ "constructive algorithms", "greedy", "number theory" ]
false
{ "nanos": 0, "seconds": 2 }
256,000,000
1428_D. Bouncing Boomerangs
"E --Disappear Drive\n\nStory\n\nThe person in D likes basketball, but he likes shooting, so other t(...TRUNCATED)
{ "input": [ "5 5 10 5 4\n", "12 4 12 4 1\n", "15 1 100 0 0\n" ], "output": [ "1\n", "3\n", "15\n" ] }
{ "input": [], "output": [] }
{"input":["10 7\n1 10\n2 10\n3 19\n4 10\n5 10\n1 2\n1 3\n1 4\n1 5\n1 6\n","20 7\n6047 35038\n15816 3(...TRUNCATED)
2
0
{"language":[3,2,3,2,2,3,3,3,3,4,4,2,3,3,4,2,3,4,2,3,2,2,3,2,2,3,4,2,2,3,3,3,3,3,2,2,2,3,4,3,3,2,1,2(...TRUNCATED)
{"language":[3,2,2,4,1,2,2,2,2,4,4,2,2,2,4,4,2,3,2,1,2,2,2,4,4,2,4,2,2,1,2,2,2,2,2,2,2,2,2,4,2,2,2,2(...TRUNCATED)
0
E
0
1,500
[ "dp", "games" ]
false
{ "nanos": 0, "seconds": 2 }
256,000,000
1180_E. Serge and Dining Room
"Professor Sharma gives the following problem to his students: given two integers X( ≥ 2) and Y( (...TRUNCATED)
{"input":["ababababa\n3\n2 1 7 aba\n1 5 c\n2 1 7 aba\n","abcdcbc\n5\n2 1 7 bc\n1 4 b\n2 4 7 bc\n1 2 (...TRUNCATED)
{"input":["6 4 3\n0 1 2\n1 3 0\n0 4 5\n1 4 4\n1 2 2\n0 4 2\n","50 69 6\n62 91 5\n35 35 53\n85 26 1\n(...TRUNCATED)
{"input":["3\n5\n3 5 1 2 4\n1\n1\n4\n4 3 1 2\n","3\n5\n4 5 2 1 3\n1\n1\n4\n4 3 1 2\n","3\n5\n3 4 2 1(...TRUNCATED)
2
10
{"language":[2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2(...TRUNCATED)
{"language":[2,3,2,4,4,1,4,2,3,4,2,2,4,2,2,4,1,2,2,4,3,2,4,2,3,1,4,4,4,2,1,3,1,2,2,4,3,2,2,2,4,1,2,2(...TRUNCATED)
0
0
2,600
[ "data structures", "math" ]
false
{ "nanos": 0, "seconds": 2 }
256,000,000
End of preview. Expand in Data Studio

edition_2730_deepmind-code_contests-readymade

A Readymade by TheFactoryX

Original Dataset

deepmind/code_contests

Process

This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them as art.

What we did:

  1. Selected the original dataset from Hugging Face
  2. Shuffled each column independently
  3. Destroyed all row-wise relationships
  4. 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

Downloads last month
10