datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
InstructCoder
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InstructCoder (CodeInstruct): Empowering Language Models to Edit Code
Updates
May 23, 2023: Paper, code and data released.
Overview
InstructCoder is the first dataset designed to adapt LLMs for general code editing. It consists of 114,239 instruction-input-output triplets and covers multiple distinct code editing scenarios, generated by ChatGPT. LLaMA-33B finetuned on InstructCoder performs on par with ChatGPT on a… See the full description on the dataset page: https://huggingface.co/datasets/likaixin/InstructCoder.ds-coder-instruct-v1
Dataset Card for DS Coder Instruct Dataset
DS Coder is a dataset for instruction fine tuning of language models. It is a specialized dataset focusing only on
data science (eg. plotting, data wrangling, machine learnig models, deep learning, and numerical computations). The dataset contains code examples both in R and Python.
The goal of this dataset is to enable creation of small-scale, specialized language model assistants for data science projects.
Dataset Details… See the full description on the dataset page: https://huggingface.co/datasets/ed001/ds-coder-instruct-v1.ds-coder-instruct-v2
Dataset Card for DS Coder Instruct v2 Dataset
Changes from v1:
Added WizardLM evol data science samples
Removed R samples from v2
DS Coder is a dataset for instruction fine tuning of language models. It is a specialized dataset focusing only on
data science (eg. plotting, data wrangling, machine learnig models, deep learning, and numerical computations). The dataset contains code examples both in Python (R samples were removed in v2).
The goal of this dataset is to enable… See the full description on the dataset page: https://huggingface.co/datasets/ed001/ds-coder-instruct-v2.Vibe-Coding-Instructcode.evol.instruct.wiz.oss_python.jsonaihub-korean-education-instruct-sample
Korean Education Instruction Dataset (Sample)
Note: 이 데이터셋은 전체 데이터셋의 샘플 버전입니다 (카테고리별 최대 1,000건).
개요
AI Hub의 한국어 교육 데이터셋 13종을 sLLM 지시학습(Instruction Tuning)용으로 변환한 데이터셋입니다.
초등학교부터 고등학교까지의 다양한 교육 콘텐츠를 포함합니다.
데이터셋 통계
카테고리
데이터 수
math (수학)
1000
korean (국어)
1000
writing (글쓰기)
1000
career (진로)
1000
curriculum (교과)
1000
tutor (튜터링)
1000
총계
6000
사용 방법
from datasets import load_dataset
# 데이터셋 로드
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/neuralfoundry-coder/aihub-korean-education-instruct-sample.WizardLM_evol_instruct_V2_only_codefiltered from (WizardLM/WizardLM_evol_instruct_V2_196k)[https://huggingface.co/datasets/WizardLM/WizardLM_evol_instruct_V2_196k] using "```"
opc_regen_Qwen3-Coder-30B-A3B-Instruct
OPC Regenerated Dataset (Qwen3-Coder-30B-A3B-Instruct)
This dataset is a regenerated version of the OPC training dataset, where assistant responses have been regenerated using Qwen3-Coder-30B-A3B-Instruct as the target model.
Purpose
Regenerating training data with the target model helps better align the draft model with the target model's output distribution, improving acceptance rates and overall speculative decoding performance in SpecForge.
Dataset Statistics… See the full description on the dataset page: https://huggingface.co/datasets/JinnP/opc_regen_Qwen3-Coder-30B-A3B-Instruct.EFAGen-Llama-3.1-8B-Instruct-Training-DataPaper Link
The training data used for the final version of EFAGen-Llama-3.1-8B-Instruct.
The data is in Alpaca format and can be used with Llama-Factory (check dataset_info.json).