Skip to page content
SAVRN
Search Plan a project

Dataset

Annoy-PyEdu-Rs

by 5757 dfsfg5657/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: dfsfg5657/Annoy-PyEdu-Rs-Raw.

Rows—
Configurations—
Size6.6 KB
License—
AccessPublicly accessible
Monthly Downloads—

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: dfsfg5657/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…

Excerpt from the card by 5757.

Details

Repository
dfsfg5657/Annoy-PyEdu-Rs
Publisher
5757
Task category
Not stated by the source
Tags
Not stated by the source
Size category
Not stated by the source
Languages
Not stated by the source
Revision
e3b7ac80c7a17e8019e00b27b3ea9102f630b402
Last updated
2026-09-20

Files

2 files, 6.6 KB in total.

Documentation1 file · 4.1 KB
Repository1 file · 2.5 KB
Every file
FileTypeSizeSHA-256
README.mdDocumentation4.1 KB—
.gitattributesRepository2.5 KB—

License and Download

License
Not stated by the source
Access
No access gate
Download from 5757

Released by 5757 through its official repository on Hugging Face.