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Your role as an assistant involves thoroughly exploring questions through a systematic long thinking process before providing the final precise and accurate solutions. This requires engaging in a comprehensive cycle of analysis, summarizing, exploration, reassessment, reflection, backtracing, and iteration to develop w...
[ { "from": "user", "value": "Generate an executable Python function generated from the given prompt. The function should take stdin as input and print the output. Simply call the function after the definition.Tak has N cards. On the i-th (1 \\leq i \\leq N) card is written an integer x_i. He is selecting one...
Your role as an assistant involves thoroughly exploring questions through a systematic long thinking process before providing the final precise and accurate solutions. This requires engaging in a comprehensive cycle of analysis, summarizing, exploration, reassessment, reflection, backtracing, and iteration to develop w...
[ { "from": "user", "value": "Generate an executable Python function generated from the given prompt. The function should take stdin as input and print the output. Simply call the function after the definition.There are N islands and M bridges.\n\nThe i-th bridge connects the A_i-th and B_i-th islands bidirec...
Your role as an assistant involves thoroughly exploring questions through a systematic long thinking process before providing the final precise and accurate solutions. This requires engaging in a comprehensive cycle of analysis, summarizing, exploration, reassessment, reflection, backtracing, and iteration to develop w...
[ { "from": "user", "value": "Generate an executable Python function generated from the given prompt. The function should take stdin as input and print the output. Simply call the function after the definition.For a given sequence A = {a0, a1, ... , an-1}, find the length of the longest increasing subsequnece...
Your role as an assistant involves thoroughly exploring questions through a systematic long thinking process before providing the final precise and accurate solutions. This requires engaging in a comprehensive cycle of analysis, summarizing, exploration, reassessment, reflection, backtracing, and iteration to develop w...
[ { "from": "user", "value": "Generate an executable Python function generated from the given prompt. The function should take stdin as input and print the output. Simply call the function after the definition.A and B are preparing themselves for programming contests.\n\nB loves to debug his code. But before ...
Your role as an assistant involves thoroughly exploring questions through a systematic long thinking process before providing the final precise and accurate solutions. This requires engaging in a comprehensive cycle of analysis, summarizing, exploration, reassessment, reflection, backtracing, and iteration to develop w...
[ { "from": "user", "value": "Generate an executable Python function generated from the given prompt. The function should take stdin as input and print the output. Simply call the function after the definition.Recently Ivan the Fool decided to become smarter and study the probability theory. He thinks that he...
Your role as an assistant involves thoroughly exploring questions through a systematic long thinking process before providing the final precise and accurate solutions. This requires engaging in a comprehensive cycle of analysis, summarizing, exploration, reassessment, reflection, backtracing, and iteration to develop w...
[ { "from": "user", "value": "Generate an executable Python function generated from the given prompt. The function should take stdin as input and print the output. Simply call the function after the definition.Bhavana and Bhuvana place bet every time they see something interesting that can occur with a probab...
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edition_0722_ryanmarten-OpenThoughts-1k-sample-readymade

A Readymade by TheFactoryX

Original Dataset

ryanmarten/OpenThoughts-1k-sample

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

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