datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Python-Code-Solutions
Python Code Solutions
Features
1000k of Python Code Solutions for Text Generation and Question Answering
Python Coding Problems labelled by topic and difficulty
Recommendations
Train your Model on Logical Operations and Mathematical Problems Before Training it on this. This is optional for Fine Tuning 2B parameter + models.
Format the prompts in a orderly way when formatting data eg. {question} Solution: {solution} Topic: {topic}
software_requirementsSwiftUI-Code-Examples
SwiftUI Code Solutions
Dataset Created by MCES10 Software has SwiftUI Code Problems and can be used for AI training for Code Generation
Recommendations
Train your LLM on the Swift and SwiftUI Framework Syntax before training it this
Fine Tune or Train Effectively at optimal Epochs and Learning Rates
Use the whole dataset for training
Your Model may need to be Prompt Tuned for the best performance but it isn't required.
Use test when testing or trialing the dataset
Use… See the full description on the dataset page: https://huggingface.co/datasets/MCES10-Software/SwiftUI-Code-Examples.CPP-Code-Solutions
C++ Code Solutions
Features
1000k of Python Code Solutions for Text Generation and Question Answering
C++ Coding Problems labelled by topic and difficulty
Recommendations
Train your Model on Logical Operations and Mathematical Problems Before Training it on this. This is optional for Fine Tuning 2B parameter + models.
Format the prompts in a orderly way when formatting data eg. {question} Solution: {solution} Topic: {topic}
IFEval-Multi-IF-hy
IFEval-Multi-IF-hy — Armenian IFEval & Multi-IF
Dataset Summary
We introduce IFEval & Multi-IF hy, an Armenian extension of Multi-IF, the benchmark for assessing LLMs' proficiency in following multi-turn and multilingual instructions. Multi-IF itself extends IFEval to multi-turn, multilingual conversations. Multi-IF covers eight languages and does not include Armenian. To build IFEval & Multi-IF hy, the English conversations were first split into two groups:… See the full description on the dataset page: https://huggingface.co/datasets/Center-Of-Advanced-Software-Technologies/IFEval-Multi-IF-hy.JS-Code-Solutions
Python Code Solutions
Features
1000k of JS Code Solutions for Text Generation and Question Answering
JS Coding Problems labelled by topic and difficulty
Recommendations
Train your Model on Logical Operations and Mathematical Problems Before Training it on this. This is optional for Fine Tuning 2B parameter + models.
Format the prompts in a orderly way when formatting data eg. {question} Solution: {solution} Topic: {topic}