{"id":20373219,"url":"https://github.com/simatwa/movies-dataset","last_synced_at":"2026-04-22T05:34:15.315Z","repository":{"id":260658618,"uuid":"881819009","full_name":"Simatwa/movies-dataset","owner":"Simatwa","description":"A collection of movies dataset for your ML project or any other task.","archived":false,"fork":false,"pushed_at":"2024-11-20T22:01:00.000Z","size":32878,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-04T20:44:10.734Z","etag":null,"topics":["data-science","database","dataset-generation","datasets","movie-data-analysis","movie-dataset"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Simatwa.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-11-01T09:56:09.000Z","updated_at":"2024-11-20T22:01:03.000Z","dependencies_parsed_at":"2025-01-15T05:55:27.654Z","dependency_job_id":null,"html_url":"https://github.com/Simatwa/movies-dataset","commit_stats":null,"previous_names":["simatwa/movies-dataset"],"tags_count":1,"template":false,"template_full_name":null,"purl":"pkg:github/Simatwa/movies-dataset","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Simatwa%2Fmovies-dataset","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Simatwa%2Fmovies-dataset/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Simatwa%2Fmovies-dataset/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Simatwa%2Fmovies-dataset/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Simatwa","download_url":"https://codeload.github.com/Simatwa/movies-dataset/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Simatwa%2Fmovies-dataset/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32122758,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-22T00:31:26.853Z","status":"online","status_checked_at":"2026-04-22T02:00:05.693Z","response_time":58,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["data-science","database","dataset-generation","datasets","movie-data-analysis","movie-dataset"],"created_at":"2024-11-15T01:17:19.458Z","updated_at":"2026-04-22T05:34:15.299Z","avatar_url":"https://github.com/Simatwa.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003ch1 align=\"center\"\u003e Movies-Dataset \u003c/h1\u003e\n\n\u003cp align=\"center\"\u003e\n\u003ca href=\"LICENSE.md\"\u003e\u003cimg src=\"https://img.shields.io/badge/license-MIT-blue.svg\"\u003e\u003c/a\u003e\n\u003cimg src=\"https://img.shields.io/github/repo-size/Simatwa/movies-dataset\"\u003e\u003c/img\u003e\n\u003ca href=\"https://hits.seeyoufarm.com\"\u003e\u003cimg src=\"https://hits.seeyoufarm.com/api/count/incr/badge.svg?url=https%3A%2F%2Fgithub.com/Simatwa/movies-dataset\u0026count_bg=skyblue\"/\u003e\u003c/a\u003e\n\u003c/p\u003e\nA collection of movies dataset for your ML project or any other task.\n\nYou can access the datasets from [/data](/data) in csv format.\n\nAlternatively you can generate your own using the procedures given below.\n\n# Installation\n\n- Ensure you have [Python3.10+](https://python.org) installed.\n\n1. Clone \n   ```sh\n   git clone https://github.com/Simatwa/movies-dataset.git\n   cd movies-dataset\n   ```\n\n2. Install requirements\n   ```sh\n   pip install -r requirements.txt\n   ```\n\n# Usage\n\nRunning `python -m data_hunter` will retrieve data from the two categories available *(Hollywood, Bollywood)* across all genres available i.e *(Action, Adventure, Animation, Biography, Comedy, Crime, Documentary, Drama, Family, Fantasy, Film-Noir, History, Horror, Music, Musical, Mystery, Romance, Sci-Fi, Sport, Thriller, War, Western)*\n\nYou can pass other options such as `limit`, `dir` etc so as to meet your specific needs.\n\n\u003cdetails\u003e\n\n\u003csummary\u003e\nFor more usage info you can run \u003ccode\u003e$ python -m data_hunter --help\u003c/code\u003e\n\u003c/summary\u003e\n\n```\nusage: data-hunter [-h]\n                   [-g [[Action|Adventure|Animation|Biography|Comedy|Crime|Documentary|Drama|Family|Fantasy|Film-Noir|History|Horror|Music|Musical|Mystery|Romance|Sci-Fi|Sport|Thriller|War|Western] ...]]\n                   [-c [[Bollywood|Bollywood|_] ...]] [-l LIMIT]\n                   [-d DIR] [-p PREFIX] [-q] [-w] [-t] [-v]\n\nA collection of movies dataset for your ML project or any other\ntask.\n\noptions:\n  -h, --help            show this help message and exit\n  -g, --genres [[Action|Adventure|Animation|Biography|Comedy|Crime|Documentary|Drama|Family|Fantasy|Film-Noir|History|Horror|Music|Musical|Mystery|Romance|Sci-Fi|Sport|Thriller|War|Western] ...]\n                        Movie genres - ['_']\n  -c, --categories [[Bollywood|Bollywood|_] ...]\n                        Movie category - ['_']\n  -l, --limit LIMIT     Total movies per genre(multiple of 20) -\n                        1000000\n  -d, --dir DIR         Parent directory to save the datasets to -\n                        /home/smartwa/git/smartwa/movies-dataset\n  -p, --prefix PREFIX   Datasets filename prefix -\n  -q, --quiet           Do not stdout any informative texts - False\n  -w, --overwrite       Clear all $prefix*.csv file in the $dir -\n                        False\n  -t, --trace           Maintain trace of the hunting progress -\n                        False\n  -v, --version         show program's version number and exit\n\nThere's no gurantee that the data generated are correct.\n```\n\n\u003c/details\u003e\n\n# Direct Links\n\n| No. | Genre | Link |\n|-----|-------|------|\n| 1   | Action | ```https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/action.csv``` |\n| 2   | Adventure | ```https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/adventure.csv``` |\n| 3   | Animation | ```https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/animation.csv``` |\n| 4   | Biography | ```https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/biography.csv``` |\n| 5   | Comedy | ```https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/comedy.csv``` |\n| 6   | Crime | ```https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/crime.csv``` |\n| 7   | Documentary | ```https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/documentary.csv``` |\n| 8   | Drama | ```https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/drama.csv``` |\n| 9   | Family | ```https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/family.csv``` |\n| 10   | Fantasy | ```https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/fantasy.csv``` |\n| 11   | Film-Noir | ```https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/film-noir.csv``` |\n| 12   | History | ```https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/history.csv``` |\n| 13   | Horror | ```https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/horror.csv``` |\n| 14   | Music | ```https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/music.csv``` |\n| 15   | Musical | ```https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/musical.csv``` |\n| 16   | Mystery | ```https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/mystery.csv``` |\n| 17   | Romance | ```https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/romance.csv``` |\n| 18   | Sci-Fi | ```https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/sci-fi.csv``` |\n| 19   | Sport | ```https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/sport.csv``` |\n| 20   | Thriller | ```https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/thriller.csv``` |\n| 21   | War | ```https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/war.csv``` |\n| 22   | Western | ```https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/western.csv``` |\n\n# Combined Datasets Link\n\n| No. | Identity | Link |\n|-----|-------|------|\n| 1   | Combined `csv` | ```https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/combined.csv``` |\n| 2   | Sqlite3 Database | ```https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/combined.db``` |\n| 2   | Sqlite3 Database (Relational) | ```https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/combined-relational.db``` |\n\n# Further details\n\nIn order to make work easier, there's [cli](cli.py) that comes handy in manipulating the data. 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