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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.Consider a road consisting of several rows. Each row is divided into several rectangular tiles, and ...
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.You are a coach at your local university. There are n students under your supervision, the programmi...
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.Problem description.\nLiza wants to share her pizza among n friends, What are the minimum number of...
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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)
"Your role as an assistant involves thoroughly exploring questions through a systematic long thinkin(...TRUNCATED)
[{"from":"user","value":"Generate an executable Python function generated from the given prompt. The(...TRUNCATED)
"Your role as an assistant involves thoroughly exploring questions through a systematic long thinkin(...TRUNCATED)
[{"from":"user","value":"Generate an executable Python function generated from the given prompt. The(...TRUNCATED)
"Your role as an assistant involves thoroughly exploring questions through a systematic long thinkin(...TRUNCATED)
[{"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_2128_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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