datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ML-Proto-DatasetML-Music-Classifier-dataset-and-model-name-Models
🎧 Spotify Music Preference Analysis
🧠 Project Overview
This project analyzes Spotify music data to predict song preferences using machine learning models. The analysis is based on a dataset of 195 songs (100 liked, 95 disliked) with various audio features extracted from Spotify's API.
📂 Dataset Description
📥 Data Collection Process
Liked Songs (100 tracks):
🎵 Primarily French Rap
🎸 Some American Rap, Rock, and Electronic music
✅… See the full description on the dataset page: https://huggingface.co/datasets/Jack1808/ML-Music-Classifier-dataset-and-model-name-Models.Synthetic_House_Price_Prediction_Datasetailearner-researchlab_iot-intrusion-detection-hybrid-ml-dl-dataset
IoT Intrusion Detection: Hybrid ML-DL Dataset
Hybrid ML-DL network traffic data for IoT intrusion and threat detection
Dataset Info
Source: Kaggle
Original Size: 35.78 MB
Kaggle Downloads: 3
Files: 1
Files
final_dataset.csv
Mirrored from Kaggle
ml-failures-dataset
ML Model Failures Dataset
What Is This
This dataset contains 900 annotated machine learning failure records
across 9 failure types. Every record documents what went wrong, why it
went wrong, and how to fix it.
Load It In Python
from datasets import load_dataset
ds = load_dataset("YOUR_HF_USERNAME/ml-failures-dataset")
df = ds['train'].to_pandas()
print(df['failure_type'].value_counts())
print(df['severity'].value_counts())
The 9 Failure Types… See the full description on the dataset page: https://huggingface.co/datasets/mdsajjadullah/ml-failures-dataset.Chiba-Weather-Dataset-for-ML
以下、テクニカルレポートです(Manus著)
「気象予測モデルトレーニング用データセット作成に関するテクニカルレポート」
気象予測モデルトレーニング用データセット作成に関するテクニカルレポート
1. はじめに
本レポートは、機械学習を用いた気象予測モデルのトレーニングを目的としたデータセットの作成プロセスについて記述します。Open-Meteo APIを利用して気象データを収集し、指定された形式のCSVデータセットとして整理しました。
2. 使用技術
本データセット作成において、以下の技術とツールを使用しました。
Open-Meteo API: 気象データの収集に利用したオープンソースの気象APIです。APIキー不要で利用でき、過去の気象データ（Historical Weather API）も提供されています。
Python:… See the full description on the dataset page: https://huggingface.co/datasets/YUGOROU/Chiba-Weather-Dataset-for-ML.personal-finance-ml-dataset
Personal Finance Dataset – Data Cleaning & EDA
Overview
This project focuses on performing data cleaning, exploratory data analysis (EDA), and outlier detection on a synthetic personal finance dataset from Kaggle.The goal is to understand the dataset, detect patterns, identify anomalies, and prepare the data for further modeling or analysis.
Dataset Description
The dataset contains personal finance information.
Source: Kaggle Personal Finance ML Dataset… See the full description on the dataset page: https://huggingface.co/datasets/asafmak/personal-finance-ml-dataset.cwe-workshop-datasetpersonal-finance-ml-dataset
Personal Finance Dataset – Data Cleaning & EDA
Overview
This project focuses on performing data cleaning, exploratory data analysis (EDA), and outlier detection on a synthetic personal finance dataset from Kaggle.The goal is to understand the dataset, detect patterns, identify anomalies, and prepare the data for further modeling or analysis.
Dataset Description
The dataset contains personal finance information.
Source: Kaggle Personal Finance ML… See the full description on the dataset page: https://huggingface.co/datasets/iqramulya/personal-finance-ml-dataset.Mobile_DataSetml-hpc-datasetFINDER_KI_ML_Anomalies
FINDER_KI_ML_Anomalies
tags: predictive analytics, machine learning, anomaly detection
Note: This is an AI-generated dataset so its content may be inaccurate or false
Dataset Description:
The 'FINDER_KI_ML_Anomalies' dataset compiles instances of anomalies discovered through the FINDER API Key by employing advanced predictive analytics and machine learning algorithms, specifically focusing on anomaly detection in the field of entrepreneurship. The dataset is curated to train ML… See the full description on the dataset page: https://huggingface.co/datasets/infinite-dataset-hub/FINDER_KI_ML_Anomalies.wine-ml-datasetml-portfolio-datasetsHACHERnews-ML_AI_vs_Regular
HACHERnews-ML_AI_vs_Regular
tags: Classification, NLP, AI
Note: This is an AI-generated dataset so its content may be inaccurate or false
Dataset Description:
The 'HACHERnews-ML_AI_vs_Regular' dataset comprises articles from the Hacker News platform that have been manually classified into two categories: posts related to Artificial Intelligence (AI) and Machine Learning (ML) versus posts about regular, non-technical topics. The classification aims to analyze the discussions… See the full description on the dataset page: https://huggingface.co/datasets/infinite-dataset-hub/HACHERnews-ML_AI_vs_Regular.ml_course_toy_dataset_housing_pricealessandrolobello_agri-food-co2-emission-dataset-forecasting-ml
Agri-food CO2 emission dataset - Forecasting ML
Leveraging Machine Learning for Forecasting Agricultural CO2 Emissions, IPCC/FAO
Dataset Info
Source: Kaggle
Original Size: 0.69 MB
Kaggle Downloads: 7,081
Files: 1
Files
Agrofood_co2_emission.csv
Mirrored from Kaggle
warvan-ml-dataset
Dataset Name
This dataset contains structured data for machine learning and analysis purposes.
Contents
data/sample.csv: Sample dataset file.
data/train.csv: Training dataset.
data/test.csv: Testing dataset.
scripts/preprocess.py: Script for preprocessing the dataset.
scripts/analyze.py: Script for data analysis.
Usage
Load the dataset using Pandas:
import pandas as pd
df = pd.read_csv('data/sample.csv')
Run preprocessing:
python scripts/preprocess.py… See the full description on the dataset page: https://huggingface.co/datasets/warvan/warvan-ml-dataset.cleaned_student_dataset_for_ml_practice
CGPA Prediction Dataset (Cleaned & Ready-to-Use)
This repository contains a fully cleaned and ready-to-use dataset designed primarily for predicting students' CGPA. It is ideal for beginners in machine learning who want a practical dataset for training, testing, and experimenting with models.
Overview
Cleaned and preprocessed dataset
Target: CGPA (Cumulative Grade Point Average)
11 features including both categorical and numerical variables
Suitable for regression and… See the full description on the dataset page: https://huggingface.co/datasets/RMRM01/cleaned_student_dataset_for_ml_practice.ML_dataset