Dataset Viewer
Auto-converted to Parquet Duplicate
system
stringclasses
1 value
conversations
listlengths
2
2
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.We had a string s consisting of n lowercase Latin letters. We made k copies of this string, thus obt...
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 skilled programmers, it is very easy to implement a sorting function. Moreover, they often avoid...
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 given three strings A, B and C. Check whether they form a word chain.\n\nMore formally, dete...
"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)
"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)
"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)
End of preview. Expand in Data Studio

edition_0876_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

Downloads last month
6