Name: 600K+ Fitness Exercise & Workout Program Dataset
Creator: Kaggle
License: http://opendatacommons.org/licenses/odbl/1.0/

About this Dataset

600K+ Fitness Exercise & Workout Program Dataset

🏋️ About This Dataset
This comprehensive fitness dataset contains over 600,000 structured workout routines and exercise entries scraped from fitness planning platform data. The dataset includes both detailed exercise-level data and program-level summaries, making it ideal for building recommendation systems, analyzing workout patterns, and understanding fitness program structures.

📊 Dataset Overview
Two complementary files:

Main Dataset (fitness_exercises.csv): 605,033 individual exercise entries with detailed workout information
Program Summary (program_summary.csv): 2,598 unique fitness programs with aggregated metadata

🔑 Key Features

Main Dataset (605K+ rows):

Exercise details: name, sets, reps, intensity
Program structure: week, day, time per workout
User targeting: fitness level, goals, equipment needs
Temporal data: creation and edit timestamps
Program metadata: length, number of exercises per workout

Program Summary (2.6K+ programs):

Program overview: title, description, fitness level
Target goals and equipment requirements
Program duration and workout timing
Total exercise count per program
Creation and modification timestamps

🎯 Use Cases

Building workout recommendation systems
Analyzing fitness program effectiveness and popularity
Understanding exercise patterns and program structures
Creating personalized workout generators
Fitness app development and research
Program-level analysis and clustering

🔧 Technical Details

Format: CSV files
Combined size: ~300MB+
Data quality: Minimal missing values (<1% for most columns)
Collection period: [Add your scraping date]
Source: Fitness platform data (with attribution)

📝 Data Dictionary

Main Dataset:

title: Workout/program name
description: Detailed workout description
level: Fitness level (beginner/intermediate/advanced)
goal: Primary fitness objective
equipment: Required equipment type
program_length: Duration in weeks
time_per_workout: Duration per session (minutes)
week/day: Position in program structure
exercise_name: Specific exercise name
sets/reps: Exercise volume parameters (negative values are time in seconds)
intensity: Exercise intensity level

Program Summary:

title: Program name
description: Program overview and objectives
level: Target fitness level
goal: Primary fitness goal
equipment: Required equipment
program_length: Total program duration (weeks)
time_per_workout: Average workout duration (minutes)
total_exercises: Total number of exercises in program
created/last_edit: Program timestamps

🔗 Data Relationship
The program_summary file provides aggregated views of the detailed exercise data, allowing for both micro-level exercise analysis and macro-level program insights.

⚖️ Important Notes

Data collected from publicly available fitness planning platform
Cleaned and structured for research/educational use
Please respect original platform's terms of service
Consider this for non-commercial research and educational purposes

Tables

Programs Detailed Boostcamp Kaggle

@kaggle.adnanelouardi_600k_fitness_exercise_and_workout_program_dataset.programs_detailed_boostcamp_kaggle

1.68 MB
605033 rows
16 columns


CREATE TABLE programs_detailed_boostcamp_kaggle (
  "title" VARCHAR,
  "description" VARCHAR,
  "level" VARCHAR,
  "goal" VARCHAR,
  "equipment" VARCHAR,
  "program_length" DOUBLE,
  "time_per_workout" DOUBLE,
  "week" DOUBLE,
  "day" DOUBLE,
  "number_of_exercises" DOUBLE,
  "exercise_name" VARCHAR,
  "sets" DOUBLE,
  "reps" DOUBLE,
  "intensity" DOUBLE,
  "created" TIMESTAMP,
  "last_edit" TIMESTAMP
);

Program Summary

@kaggle.adnanelouardi_600k_fitness_exercise_and_workout_program_dataset.program_summary

550.38 KB
2598 rows
10 columns


CREATE TABLE program_summary (
  "title" VARCHAR,
  "description" VARCHAR,
  "level" VARCHAR,
  "goal" VARCHAR,
  "equipment" VARCHAR,
  "program_length" DOUBLE,
  "time_per_workout" DOUBLE,
  "total_exercises" BIGINT,
  "created" TIMESTAMP,
  "last_edit" TIMESTAMP
);