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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.Ostap Bender recently visited frog farm and was inspired to create his own frog game.\n\nNumber of f...
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.PowerShell had N natural numbers. He wanted to test Xenny's speed in finding the sum and difference ...
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.One foggy Stockholm morning, Karlsson decided to snack on some jam in his friend Lillebror Svantenso...
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.Giant chess is quite common in Geraldion. We will not delve into the rules of the game, we'll just s...
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[{"from":"user","value":"Generate an executable Python function generated from the given prompt. The(...TRUNCATED)
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[{"from":"user","value":"Generate an executable Python function generated from the given prompt. The(...TRUNCATED)
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[{"from":"user","value":"Generate an executable Python function generated from the given prompt. The(...TRUNCATED)
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[{"from":"user","value":"Generate an executable Python function generated from the given prompt. The(...TRUNCATED)
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[{"from":"user","value":"Generate an executable Python function generated from the given prompt. The(...TRUNCATED)
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edition_1989_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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