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GitHub - hasaneyldrm/exercises-dataset: 1,324-exercise fitness dataset — animation GIFs, 180×180 thumbnails, muscle-group & equipment data,

💪 Exercises Dataset A comprehensive, ready-to-use fitness exercise dataset with 1,324 exercises — each with an animation GIF, 180×180 thumbnail image, category, body-part, equipment, target and muscle-group data, and step-by-step instructions in 10 languages

6 次阅读2026/11/10 发布
GitHub - hasaneyldrm/exercises-dataset: 1,324-exercise fitness dataset — animation GIFs, 180×180 thumbnails, muscle-group & equipment data, 来源图片

社区作者 · zZz

它解决什么问题

💪 Exercises Dataset

A comprehensive, ready-to-use fitness exercise dataset with 1,324 exercises — each with an animation GIF, 180×180 thumbnail image, category, body-part, equipment, target and muscle-group data, and step-by-step instructions in 10 languages (English, Spanish, Italian, Turkish, Russian, Chinese, Hindi, Polish, Korean, French).

📱 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:

Field Description

Unique ID Numeric identifier (e.g. "0001" )

Name Full descriptive exercise name

Category Primary muscle group targeted

Target Specific target muscle

Muscle Group Supporting / synergist muscles

Equipment Equipment required (or body weight for bodyweight)

Instructions Step-by-step instructions for each exercise

Available Languages 🇬🇧 English · 🇪🇸 Spanish · 🇮🇹 Italian · 🇹🇷 Turkish · 🇷🇺 Russian · 🇨🇳 Chinese · 🇮🇳 Hindi · 🇵🇱 Polish · 🇰🇷 Korean · 🇫🇷 French

Media 180×180 thumbnail ( image ) + animation GIF ( gif_url ) per exercise — media © Gym visual, see License

🖥️ 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:

  • 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.
  • 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.
  • 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

Metric Count

Total Exercises 1,324

Instruction Languages 10

Exercises by Body Part

Body Part Exercise Count

Upper Arms 292

Upper Legs 227

Back 203

Waist 169

Chest 163

Shoulders 143

Lower Legs 59

Lower Arms 37

Cardio 29

Neck 2

Exercises by Equipment

Equipment Exercise Count

Body Weight 325

Dumbbell 294

Cable 157

Barbell 154

Leverage Machine 81

Band 54

Smith Machine 48

Kettlebell 41

Weighted 36

Stability Ball 28

EZ Barbell 23

Other 83

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.

Field Type Description

id string Unique numeric identifier (e.g. "0001" )

name string Full exercise name (e.g. "3/4 Sit-up" )

category string Body part category (e.g. "upper arms" , "chest" , "back" )

body_part string Same as category — body part targeted

equipment string Required equipment (e.g. "dumbbell" , "body weight" )

instructions.en string Full step-by-step instructions in English

instructions.es string Full step-by-step instructions in Spanish

instructions.it string Full step-by-step instructions in Italian

instructions.tr string Full step-by-step instructions in Turkish

instructions.ru string Full step-by-step instructions in Russian

instructions.zh string Full step-by-step instructions in Chinese

instructions.hi string Full step-by-step instructions in Hindi

instructions.pl string Full step-by-step instructions in Polish

instructions.ko string Full step-by-step instructions in Korean

instructions.fr string Full step-by-step instructions in French

instruction_steps.<lang> array[string] Same instructions split into an ordered array of steps, per language ( en , es , it , tr , ru , zh , hi , pl , ko , fr )

muscle_group string Primary synergist muscle group

secondary_muscles array[string] Additional muscles involved

target string Primary target muscle (e.g. "biceps" , "pectoralis major" )

media_id string Original media reference id (e.g. "2gPfomN" )

image string Path to the 180×180 thumbnail (e.g. "images/0001-2gPfomN.jpg" )

gif_url string Path to the 180×180 animation GIF (e.g. "videos/0001-2gPfomN.gif" )

attribution string Media copyright notice — "© Gym visual — https://gymvisual.com/"

created_at string ISO 8601 timestamp of record creation

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

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

命令
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

命令
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.

— 本文由 AI 根据公开来源辅助整理,命令、版本与许可证请在使用前到原始页面复核。

安装 / 开始使用

🔍 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:

Each exercise entry contains: Field Description Unique ID Numeric identifier (e.g.

"0001" ) Name Full descriptive exercise name Category Primary muscle group targeted Target Specific target muscle Muscle Group Supporting / synergist muscles Equipment Equipment required (or body weight for bodyweight) Instructions Step-by-step instructions for each exercise Available Languages 🇬🇧 English · 🇪🇸 Spanish · 🇮🇹 Italian · 🇹🇷 Turkish · 🇷🇺 Russian · 🇨🇳 Chinese · 🇮🇳 Hindi · 🇵🇱 Polish · 🇰🇷 Korean · 🇫🇷 French Media 180×180 thumbnail ( image ) + animation GIF ( gif_url ) per exercise — media © Gym visual, see License 🖥️ 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:

setup.html — Developer Setup Guide A step-by-step guide for integrating the dataset into your own application:

📂 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

📊 Statistics Metric Count Total Exercises 1,324 Instruction Languages 10 Exercises by Body Part Body Part Exercise Count Upper Arms 292 Upper Legs 227 Back 203 Waist 169 Chest 163 Shoulders 143 Lower Legs 59 Lower Arms 37 Cardio 29 Neck

  • Usage Examples
  • License & Use
  • Building fitness or workout planning applications
  • Machine learning projects involving exercise recognition or recommendation
  • Health and wellness research
  • Educational demonstrations and prototypes
  • 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
  • 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.
  • 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.
  • 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.
  • 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.

来源教程配图

barbell bench press
配图 1 · barbell bench press查看原图
barbell full squat
配图 2 · barbell full squat查看原图
barbell deadlift
配图 3 · barbell deadlift查看原图
pull-up
配图 4 · pull-up查看原图
dumbbell biceps curl
配图 5 · dumbbell biceps curl查看原图
dumbbell lateral raise
配图 6 · dumbbell lateral raise查看原图

适用场景

学习研究
开源项目实践