💪 Exercises Dataset

📱 Powers the LogPress app — an AI-assisted workout tracker; this dataset is its exercise data layer. Building your own fitness app? Drop it straight into your backend.

📦 Data Source

This repository provides:

• 1,324 exercises with category, body-part, equipment, target and muscle-group data
• an animation GIF + 180×180 thumbnail for every exercise (media © Gym visual — see License)
• step-by-step instructions in 10 languages (🇬🇧 English, 🇪🇸 Spanish, 🇮🇹 Italian, 🇹🇷 Turkish, 🇷🇺 Russian, 🇨🇳 Chinese, 🇮🇳 Hindi, 🇵🇱 Polish, 🇰🇷 Korean, 🇫🇷 French)
• the interactive browser (index.html) and developer setup guide (setup.html)

📋 Table of Contents

• Data Source
• Overview
• Interactive Browser & Developer Setup
• File Structure
• Statistics
• Data Schema
• Sample Exercises
• Usage Examples
• License & Use

🔍 Overview

This dataset is a curated collection of 1,324 fitness exercises for educational and research purposes. It covers a wide range of muscle groups, equipment types, and exercise categories — making it ideal for:

• Building fitness or workout planning applications
• Machine learning projects involving exercise recognition or recommendation
• Health and wellness research
• Educational demonstrations and prototypes

Each exercise entry contains:

🖥️ Interactive Browser & Developer Setup

This repository includes two ready-to-use HTML tools — no server required, just open in a browser.

Note: the browser displays each exercise's 180×180 thumbnail and animation GIF alongside its metadata and instructions.

index.html — Exercise Browser

A fully client-side exercise explorer with:

• Live search across all 1,324 exercises
• Filter by category, equipment, and target muscle
• Infinite scroll grid
• Click any card to see full details and instructions in English, Spanish, Italian, Turkish, Russian, Chinese, Hindi, Polish, Korean, or French

setup.html — Developer Setup Guide

A step-by-step guide for integrating the dataset into your own application:

1. Database Setup — CREATE TABLE SQL for SQL Server, PostgreSQL, MySQL, and SQLite. Generate a ready-to-run .sql file with all 1,324 INSERT statements, built entirely in your browser.
2. API Integration — Copy-paste client code in JavaScript, Python, C#, Java, PHP, Go, and cURL showing how to call your backend API. Enter your base URL and all examples update live.
3. Ask Your LLM — A structured prompt (choose your framework + database) that you can paste into ChatGPT, Claude, or Gemini to generate a complete, production-ready REST API in one shot. Supports Express.js, FastAPI, ASP.NET Core, Spring Boot, Laravel, and Gin.

📂 File Structure

exercises-dataset/
├── data/
│   ├── exercises.json        # Full dataset — 1,324 exercise records (JSON array)
│   └── exercises.schema.json # JSON Schema (2020-12) describing every record
├── images/                  # 1,324 × 180×180 thumbnails  (© Gym visual)
├── videos/                  # 1,324 × 180×180 animation GIFs  (© Gym visual)
├── index.html               # Interactive exercise browser (client-side, no server needed)
├── setup.html               # Developer setup guide (DB import + API integration)
├── NOTICE.md                # Media attribution & license terms
└── README.md

Key Files

• data/exercises.json — The primary data file. A JSON array of 1,324 exercise objects with all metadata. image / gif_url point to the local 180×180 assets, and each record carries an attribution field; media_id holds the original media reference id.
• data/exercises.schema.json — A JSON Schema (Draft 2020-12) that formally describes every field, its type and constraints. Use it to validate the dataset or your own additions with any standard JSON Schema validator.
• images/, videos/ — 180×180 thumbnails and animation GIFs (© Gym visual, used with permission).
• index.html — Standalone exercise browser. Open directly in any modern browser.
• setup.html — Developer guide for DB setup, API integration, and LLM-assisted backend generation.
• LICENSE, NOTICE.md — MIT (code/data) + the Gym visual media terms.

📊 Statistics

Exercises by Body Part

Exercises by Equipment

Note: ~25% of exercises require no equipment at all — great for at-home workout applications.

🗂️ Data Schema

Each record in data/exercises.json follows this structure. A machine-readable JSON Schema is also provided for validation.

Sample Record

{
  "id": "0001",
  "name": "3/4 sit-up",
  "category": "waist",
  "body_part": "waist",
  "equipment": "body weight",
  "instructions": {
    "en": "Lie flat on your back with your knees bent and feet flat on the ground. Place your hands behind your head with your elbows pointing outwards. Engaging your abs, slowly lift your upper body off the ground, curling forward until your torso is at a 45-degree angle. Pause for a moment at the top, then slowly lower your upper body back down to the starting position. Repeat for the desired number of repetitions.",
    "es": "Túmbate sobre tu espalda con las rodillas flexionadas y los pies apoyados en el suelo. ...",
    "it": "Sdraiati sulla schiena con le ginocchia piegate e i piedi appoggiati a terra. ...",
    "tr": "Sırt üstü yatın, dizlerinizi bükün ve ayaklarınızı yere düz koyun. ...",
    "ru": "Лягте на спину, согните колени и поставьте ступни на землю. ...",
    "zh": "平躺，膝盖弯曲，双脚平放在地上。...",
    "hi": "अपने घुटनों को मोड़कर और पैरों को ज़मीन पर सपाट रखते हुए अपनी पीठ के बल लेट जाएँ।...",
    "pl": "Połóż się płasko na plecach, ugnij kolana i oprzyj stopy płasko na pod ...",
    "ko": "등을 바닥에 누워 무릎을 구부리고 발을 바닥에 붙입니다. ...",
    "fr": "Allonge-toi sur le dos, les genoux fléchis et les pieds à plat au sol. ..."
  },
  "muscle_group": "hip flexors",
  "secondary_muscles": ["hip flexors", "lower back"],
  "target": "abs",
  "media_id": "2gPfomN",
  "image": "images/0001-2gPfomN.jpg",
  "gif_url": "videos/0001-2gPfomN.gif",
  "attribution": "© Gym visual — https://gymvisual.com/",
  "created_at": "2026-03-18T12:31:32.854798+00:00"
}

🎬 Sample Exercises

Each example ships a 180×180 thumbnail (image) and animation GIF (gif_url), © Gym visual.

1 — Barbell Bench Press · Chest

Equipment: Barbell · Target: Pectorals · Secondary: Triceps, Shoulders · Media ID: EIeI8Vf

The Barbell Bench Press is the cornerstone of chest training and one of the "Big Three" powerlifting movements. Lying flat on a bench, you lower a loaded barbell to your chest and press it back up explosively. It simultaneously recruits the pectorals, triceps, and anterior deltoids, making it the single most effective exercise for upper body pushing strength and chest mass development.

Key cues: Retract and depress your scapulae before unracking. Keep your feet flat on the floor, arch your lower back naturally, and maintain a shoulder-width grip. Lower the bar under control to mid-chest and drive up through the heels.

2 — Barbell Deadlift · Upper Legs / Back

Equipment: Barbell · Target: Glutes · Secondary: Hamstrings, Lower Back · Media ID: ila4NZS

The Barbell Deadlift is widely regarded as the ultimate full-body strength exercise. It engages virtually every major muscle in the posterior chain — glutes, hamstrings, and lower back — while also demanding significant contribution from the upper back, traps, and grip. Proper spinal alignment and bracing technique are critical for both performance and safety.

Key cues: Set up with the bar over your mid-foot. Hinge at the hips, grip just outside your legs, brace your core hard, and keep the bar in contact with your shins throughout the lift. Drive the floor away, lock out at the top by squeezing glutes and extending hips fully.

3 — Barbell Full Squat · Upper Legs

Equipment: Barbell · Target: Glutes · Secondary: Quadriceps, Hamstrings, Calves, Core · Media ID: qXTaZnJ

Often called "the king of all exercises," the Barbell Full Squat demands coordinated strength across the entire lower body and core. Breaking parallel maximizes glute and hamstring activation compared to partial squats. It is the foundation of nearly every strength and hypertrophy program.

Key cues: Bar on upper traps (high bar) or rear deltoids (low bar). Brace your core before descent, push knees out in line with toes, sit into your hips, and descend until your thighs pass parallel to the floor. Drive through the whole foot to stand.

4 — Dumbbell Biceps Curl · Upper Arms

Equipment: Dumbbell · Target: Biceps · Secondary: Forearms · Media ID: NbVPDMW

The Dumbbell Biceps Curl is the most recognized isolation exercise for the arms. Training each side independently helps identify and correct strength imbalances between limbs. The supinated (palms-up) grip maximizes biceps contraction at the top of the movement.

Key cues: Stand tall with elbows pinned to your sides. Supinate your wrists as you curl up, squeeze at the top, and lower under control without swinging. Avoid using momentum from the shoulders or lower back.

5 — Pull-up · Back

Equipment: Body Weight · Target: Lats · Secondary: Biceps, Forearms · Media ID: lBDjFxJ

The Pull-up is the gold standard bodyweight exercise for upper body pulling strength. It primarily develops the latissimus dorsi — creating the coveted V-taper — while heavily involving the biceps, rear deltoids, and core stabilizers. It scales from beginner (band-assisted) to advanced (weighted).

Key cues: Dead hang from an overhand grip, shoulder-width or slightly wider. Initiate with your lats by depressing your shoulder blades, then pull your chest toward the bar. Lower fully between reps to maintain range of motion.

6 — Dumbbell Lateral Raise · Shoulders

Equipment: Dumbbell · Target: Delts · Secondary: Traps · Media ID: DsgkuIt

The Dumbbell Lateral Raise is the go-to isolation exercise for building shoulder width. It directly targets the lateral (middle) head of the deltoid, which is responsible for the broad-shouldered look. Controlled tempo and strict form matter far more than load.

Key cues: Stand with a slight bend in your elbows throughout. Raise the dumbbells out to the sides until your arms are parallel to the floor — no higher. Lead with your elbows, not your wrists. Lower slowly under control to maximize time under tension.

🚀 Usage Examples

Python — Load and Filter

import json

with open("data/exercises.json", "r", encoding="utf-8") as f:
    exercises = json.load(f)

print(f"Total exercises loaded: {len(exercises)}")

# Filter by category
chest_exercises = [ex for ex in exercises if ex["category"] == "chest"]
print(f"Chest exercises: {len(chest_exercises)}")
# -> Chest exercises: 163

# Filter by equipment
bodyweight = [ex for ex in exercises if ex["equipment"] == "body weight"]
print(f"Bodyweight exercises: {len(bodyweight)}")
# -> Bodyweight exercises: 325

# Get all unique categories
categories = sorted({ex["category"] for ex in exercises})
print("Categories:", categories)

# Access multilingual instructions
ex = exercises[0]
print(ex["instructions"]["en"])  # English
print(ex["instructions"]["es"])  # Spanish
print(ex["instructions"]["it"])  # Italian
print(ex["instructions"]["tr"])  # Turkish
print(ex["instructions"]["ru"])  # Russian
print(ex["instructions"]["zh"])  # Chinese
print(ex["instructions"]["hi"])  # Hindi
print(ex["instructions"]["pl"])  # Polish
print(ex["instructions"]["ko"])  # Korean
print(ex["instructions"]["fr"])  # French

Python — Load with Pandas

import json
import pandas as pd

with open("data/exercises.json", "r", encoding="utf-8") as f:
    data = json.load(f)

df = pd.DataFrame(data)

# Top categories by exercise count
print(df["category"].value_counts().head(10))

# All barbell exercises targeting upper legs
barbell_quads = df[(df["equipment"] == "barbell") & (df["category"] == "upper legs")]
print(barbell_quads[["name", "target", "equipment"]])

JavaScript / Node.js

const exercises = require("./data/exercises.json");

console.log(`Total exercises: ${exercises.length}`);

// Bodyweight exercises only
const bodyweight = exercises.filter(ex => ex.equipment === "body weight");
console.log(`Bodyweight exercises: ${bodyweight.length}`);
// -> Bodyweight exercises: 325

// Group exercises by category
const byCategory = exercises.reduce((acc, ex) => {
  acc[ex.category] = (acc[ex.category] || []);
  acc[ex.category].push(ex);
  return acc;
}, {});

// Access multilingual instructions
const ex = exercises[0];
console.log(ex.instructions.en); // English
console.log(ex.instructions.es); // Spanish
console.log(ex.instructions.it); // Italian
console.log(ex.instructions.tr); // Turkish
console.log(ex.instructions.ru); // Russian
console.log(ex.instructions.zh); // Chinese
console.log(ex.instructions.hi); // Hindi
console.log(ex.instructions.pl); // Polish
console.log(ex.instructions.ko); // Korean
console.log(ex.instructions.fr); // French

TypeScript — Type-safe Usage

interface Exercise {
  id: string;
  name: string;
  category: string;
  body_part: string;
  equipment: string;
  instructions: {
    en: string;
    es: string;
    it: string;
    tr: string;
    ru: string;
    zh: string;
    hi: string;
    pl: string;
    ko: string;
    fr: string;
  };
  instruction_steps: {
    en: string[];
    es: string[];
    it: string[];
    tr: string[];
    ru: string[];
    zh: string[];
    hi: string[];
    pl: string[];
    ko: string[];
    fr: string[];
  };
  muscle_group: string;
  secondary_muscles: string[];
  target: string;
  media_id: string;
  image: string;
  gif_url: string;
  attribution: string;
  created_at: string;
}

import exercises from "./data/exercises.json";
const data = exercises as Exercise[];

const randomWorkout: Exercise[] = data.slice(0, 6);
console.log("First 6 exercises:", randomWorkout.map(e => e.name));

📄 License & Use

This repository is a developer setup wizard and structured exercise dataset — exercise metadata, multilingual instruction translations, and 180×180 exercise media.

• Code, tooling, dataset structure, and instruction text are released under the MIT License.
• Exercise media (images & GIFs) is © Gym visual and redistributed here with permission, at 180×180 resolution — see NOTICE.md and the media exception in LICENSE. Keep the © Gym visual — https://gymvisual.com/ attribution intact. Reuse is governed by Gym visual's Terms & Conditions; obtain your own license there before reusing the media.
• This repository does not claim ownership of the underlying exercise content or media.