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Annoy-PyEdu-Rs

by Haer nwsrt/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: nwsrt/Annoy-PyEdu-Rs-Raw.

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Size6.5 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: nwsrt/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 approach for…

Excerpt from the card by Haer.

Details

Repository
nwsrt/Annoy-PyEdu-Rs
Publisher
Haer
Task category
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Tags
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Size category
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Languages
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Revision
b7d5ad99fd0b470790ffd15a1e262e9501b8ebdf
Last updated
2026-09-27

Files

2 files, 6.5 KB in total.

Documentation1 file · 4.0 KB
Repository1 file · 2.5 KB
Every file
FileTypeSizeSHA-256
README.mdDocumentation4.0 KB—
.gitattributesRepository2.5 KB—

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Released by Haer through its official repository on Hugging Face.