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Annoy-PyEdu-Rs

by Priscilla Smith priscilla-smith/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: priscilla-smith/Annoy-PyEdu-Rs-Raw.

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Size6.7 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: priscilla-smith/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 Priscilla Smith.

Details

Repository
priscilla-smith/Annoy-PyEdu-Rs
Publisher
Priscilla Smith
Task category
Not stated by the source
Tags
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Size category
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Languages
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Revision
341877f7555339296e1838b64acbc982e8cd56fc
Last updated
2026-10-05

Files

2 files, 6.7 KB in total.

Documentation1 file · 4.2 KB
Repository1 file · 2.5 KB
Every file
FileTypeSizeSHA-256
README.mdDocumentation4.2 KB—
.gitattributesRepository2.5 KB—

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Released by Priscilla Smith through its official repository on Hugging Face.