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Dataset

Annoy-PyEdu-Rs

by Michael Igupu mikeyigupu05/Annoy-PyEdu-Rs

This is the resource page of the our resources collection on Huggingface, we highlight your currect position with a blue block. Dataset Please also check the raw data after our processing if you are interested: mikeyigupu05/Annoy-PyEdu-Rs-Raw.

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Size6.6 KB
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AccessPublicly accessible
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Dataset Card

This is the resource page of the our resources collection on Huggingface, we highlight your currect position with a blue block. Dataset Please also check the raw data after our processing if you are interested: mikeyigupu05/Annoy-PyEdu-Rs-Raw. Models Introduction While having full executable code theoretically allows us to generate reliable execution trajectories as responses, two challenges arise: 1) Obtaining a deterministic reverse function for input prediction is impractical; 2) Automatically constructed trajectories are constrained by pre-designed templates and lack the expressiveness and generalizability of free-form natural language reasoning. Thus, we adopt a fully LLM-based…

Excerpt from the card by Michael Igupu.

Details

Repository
mikeyigupu05/Annoy-PyEdu-Rs
Publisher
Michael Igupu
Task category
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Languages
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Revision
55a8a9395b7b8f5bb3a0786b8c278f45b38a5c33
Last updated
2026-10-04

Files

2 files, 6.6 KB in total.

Documentation1 file · 4.1 KB
Repository1 file · 2.5 KB
Every file
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README.mdDocumentation4.1 KB—
.gitattributesRepository2.5 KB—

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Released by Michael Igupu through its official repository on Hugging Face.