code-qa
Datasets
All datasets matching “code-qa”details_nextai-team__Moe-3x7b-QA-Code-Inst
Dataset Card for Evaluation run of nextai-team/Moe-3x7b-QA-Code-Inst
Dataset automatically created during the evaluation run of model nextai-team/Moe-3x7b-QA-Code-Inst on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard-old/details_nextai-team__Moe-3x7b-QA-Code-Inst.Code-Golang-QA-2k
Code-Golang-QA-2k
This (small) dataset comprises 2,000 question-and-answer entries related to the Go programming language. It is designed to serve as a resource for individuals looking to enhance machine learning models, create chatbots, or simply to provide a comprehensive knowledge base for developers working with Go.
Data Format
[
{
"question": "How do you create a new RESTful API endpoint using Gin?",
"answer": "Creating a new RESTful API endpoint… See the full description on the dataset page: https://huggingface.co/datasets/ExAi/Code-Golang-QA-2k.details_nextai-team__Moe-2x7b-QA-Code
Dataset Card for Evaluation run of nextai-team/Moe-2x7b-QA-Code
Dataset automatically created during the evaluation run of model nextai-team/Moe-2x7b-QA-Code on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard-old/details_nextai-team__Moe-2x7b-QA-Code.russian_code_qacode_leak_qaScientific-Code-and-Analysis-QA
RegalFire Scientific code and analysis QA
RegalFire — AI Data Foundry
Scientific forum QA containing mechanically extracted preformatted code. Code is retained exactly after HTML entity decoding; no execution is claimed.
Verified scope
Records: 72; distinct source threads: 72; unique answers represented: 99.
Domain thread counts: {"statistics": 34, "computational_science": 37, "biology": 1}.
Actual record splits: {"train": 48, "holdout": 12, "test": 6… See the full description on the dataset page: https://huggingface.co/datasets/RegalFire/Scientific-Code-and-Analysis-QA.