datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
basic-arithmetic
Basic Arithmetic
Difficulty-balanced arithmetic dataset (addition, subtraction, multiplication,
division) for evaluating and fine-tuning language models. Problems are classified
into four difficulty tiers (easy, medium_easy, medium_hard, hard) based on
Qwen2.5-0.5B-Instruct performance. Includes 10k training samples, 200
validation, and 400 test (in-domain + out-of-domain phrasings).
Splits
config
split
rows
what
default
train
10,000
training set… See the full description on the dataset page: https://huggingface.co/datasets/ChrisMcCormick/basic-arithmetic.basic-math-1m
Basic Math 1M
A dataset of 1 million basic arithmetic problems with potential user prompts.
Basic Math 10M was inspired by Simple Math.
basic_korean_dict
Dataset Card for "basic_korean_dict"
This dataset is a NLP learnable form of Korean Basic Dictionary(한국어기초사전).
It follows the original copyright policy (cc-by-sa-2.0)
Some words have usage examples in other languages, effectively rendering this into a parallel corpus.
This version is built from xls_20230601
한국어 기초 사전을 학습 가능한 형태로 처리한 데이터입니다.
한국어 기초 사전의 저작권을 따릅니다.
여러 언어로 이루어진 표제어들이 있어 병렬 말뭉치의 기능이 있습니다.
xls_20230601으로부터 생성되었습니다.
basic_mathematical-scientific-notation-parallel
Mathematical and Scientific Notation Parallel Corpus
Dataset Description
This dataset is designed for tokenizer robustness testing in mathematical and scientific contexts. It contains identical mathematical content expressed in four different notation styles, allowing researchers to isolate tokenization effects from semantic differences when evaluating language models.
Purpose
Tokenizer Comparison: Compare how different tokenizers (BPE, SentencePiece… See the full description on the dataset page: https://huggingface.co/datasets/Malikeh1375/basic_mathematical-scientific-notation-parallel.cooking-knowledge-basics
Comprehensive Cooking Knowledge Q&A Dataset
This dataset (cooking_knowledge.csv) contains a rich collection of synthetically generated Question-Answer (Q&A) pairs covering diverse aspects of cooking knowledge, with particular emphasis on food chemistry, flavor pairing, cooking techniques, dietary accommodations, and culinary traditions. The data was created using a large language model with advanced reasoning capabilities, prompted with various grounded contexts and real-world… See the full description on the dataset page: https://huggingface.co/datasets/ktiyab/cooking-knowledge-basics.basic_code_ppl_evalbasic-math-10m
Basic Math 10M
A dataset of 10 million basic arithmetic problems with potential user prompts. It is an extended version of Basic Math 1M.
Basic Math 10M was inspired by Simple Math.
ai-basic-law-dataset
台灣人工智慧基本法 訓練資料集
Taiwan AI Basic Law (人工智慧基本法) Q&A dataset for LLM finetuning.
Files
File
Description
Entries
train.jsonl
Full training dataset with oversampling
~5000
fulltext.jsonl
Clean article fulltext (20 articles)
38
Data Composition
Category
Unique
Repeat
Purpose
Article Fulltext Q&A
~157
x15
Verbatim article text with topic anchors
Alias Recognition
~109
x10
「基本法」「AI基本法」→ 人工智慧基本法
Legislative Reasons
~35
x3
Background… See the full description on the dataset page: https://huggingface.co/datasets/iamjry/ai-basic-law-dataset.prometech_inc_basic_coder
Prometech Inc Basic Coder Dataset
Dataset Overview
Filename: prometech_inc_basic_coder.jsonlTotal Entries: 263,903File Size: ~854 MBProvider: Prometech Bilgisayar Bilimleri AŞ
This dataset is a unified collection of high-quality coding instruction-following records, designed for fine-tuning Large Language Models (LLMs) or for use in Retrieval-Augmented Generation (RAG) systems. It aggregates data from multiple open-source high-quality datasets, synthetic documentation… See the full description on the dataset page: https://huggingface.co/datasets/pthinc/prometech_inc_basic_coder.databird-basic-math
DATABIRD: BASIC MATH
Overview
This data set, curated by ThePrint, encompasses a broad spectrum of mathematical concepts, from basic arithmetic operations such as addition and subtraction to more advanced topics like percentages, introductory calculus, graph interpretation, and statistical analysis. It is designed for educational purposes, providing a comprehensive resource for understanding various numerical methodologies.
Key Features
Format: JSON
Contents:… See the full description on the dataset page: https://huggingface.co/datasets/theprint/databird-basic-math.robot-navigation-basic
Robot Navigation Basic Dataset
A simple instruction–output dataset focused on basic robot navigation commands.
Dataset Structure
instruction: Navigation command
output: Description of the robot’s action
Example
{
"instruction": "Turn left at the corner.",
"output": "The robot turns left at the corner."
}
simple-text-generation-basic
Simple Text Generation Basic Dataset
This dataset contains very simple text samples designed for testing and basic text generation tasks.
Dataset Structure
Each row contains a single field:
text: a plain English sentence
Example
{"text": "Artificial intelligence is transforming the world."}
robot-navigation-instructions-basic
Robot Navigation Instructions – Basic
This dataset contains simple navigation instructions for robots.
Each sample maps a natural language command to an expected navigation behavior.
Fields
instruction: navigation command
input: optional context
output: expected robot action
Intended Use
Training or testing basic robot navigation and instruction-following models.
basic-ai-instructions
Basic AI Instructions Dataset
Basic AI Instructions Dataset
This dataset contains simple instruction–output pairs designed for training and testing instruction-following AI models.
Dataset Structure
Each entry includes:
instruction: A short command or request
output: The expected response or action description
Example
{
"instruction": "Restart the application.",
"output": "The application restarts without errors."
}
extended-instruction-basic2
Extended Instruction Basic Dataset
This dataset contains simple but varied instruction–response pairs.
It is designed for testing instruction-following and text generation models
with a slightly larger and more diverse sample size.
Dataset Structure
Each entry contains:
instruction: a user command or request
output: the expected response or system action
Example
{
"instruction": "Check the system status.",
"output": "The system reports that all services… See the full description on the dataset page: https://huggingface.co/datasets/seto4/extended-instruction-basic2.