What are you trying to achieve? I don't think you can make a copy of oga without the database that is probably linked to it, I think it is based on drupal and most CMS I tested use a database. If you want a search field with filters to search the assets and you download the assets from the link I provided above I can tell you how.
What would you like to know—more about the dataset or the JSON files? To summarize, the dataset includes all OGA assets and was last updated four months ago. The JSON files are used for attribution and tagging, initially designed for AI training, but they can also serve other purposes, like organizing and filtering tracks based on the tags they contain.
While the JSON files themselves aren't exactly user-friendly at first glance, I've built a simple browser to display the data in a more accessible way.
As the saying goes, "a picture is worth a thousand words," and if it's animated, even better! So, I've attached an example of what the browser looks like in action.
You can also add new tags—I'm considering adding tags for BPM and key, which would be especially useful for musicians and DJs looking to find tracks that match specific criteria.
has anyone already said love2d? if you are up to learn lua which is not hard if you already know python I recommend it, specially for starting and 2d games.
To make the dataset more useful—particularly for identifying tracks that work well together in mixes—I’d like to add two extra fields to each track: "key" and "bpm".
I know how to extract this information myself, but with nearly 1,900 tracks under just one license type, doing it manually would take far too long.
If anyone’s interested in helping process and tag these tracks, we could create a really valuable tool for finding compatible tracks and building better mixes from this library of OGA music.
I was just sharing the info, mainly because some people are interested in backing up the site—and at the very least, this serves as a backup of the assets. That’s my main goal.
As for the purpose of the dataset: it’s not just about pixel art. It includes various graphic styles, music, and more. And honestly, there’s not much anyone can do about it—licenses allow it. Still, if someone finds it useful as a backup, then it’s there for them.
For anyone feeling concerned: There's an important distinction between having a dataset available for training and an AI actually being capable of understanding and using that data well enough to replace artists. Right now, AI is still far from reaching that level—especially when it comes to specialized artistic disciplines.
I doubt that a model trained solely on OGA would be very competitive, considering the vast and diverse datasets used to train most modern models. That said, this is purely speculation—I haven’t tested such a model or seen any artwork generated from it. However, OGA assets could potentially be included in larger datasets depending on their license. Based on my research, assets under CC0 and CC-BY licenses are eligible for inclusion, as they permit reuse—CC0 allows unrestricted use, while CC-BY requires attribution, both of which align with common dataset inclusion standards.
Just to clarify: It’s not the website itself — the assets have been packed and organized by license, and those are what you can download.
For those unfamiliar: the site’s main purpose is not to serve as a backup of OGA, but to train AI using its assets. Nevertheless, you can download the dataset if you’d like to keep your own backup.
Update: I’ve already downloaded the CC0, GPL 2.0, and GPL 3.0 assets. Everything seems to be included, and the attribution list appears accurate. However, the files are organized only by art type, making it difficult to search for assets using other filters, such as artist name. To locate specific items, you'd need to check the attribution file and manually create folders based on artist, filter preferences, or create folders and order them alphabetically.
What are you trying to achieve? I don't think you can make a copy of oga without the database that is probably linked to it, I think it is based on drupal and most CMS I tested use a database. If you want a search field with filters to search the assets and you download the assets from the link I provided above I can tell you how.
Hi Blue_Prawn,
What would you like to know—more about the dataset or the JSON files? To summarize, the dataset includes all OGA assets and was last updated four months ago. The JSON files are used for attribution and tagging, initially designed for AI training, but they can also serve other purposes, like organizing and filtering tracks based on the tags they contain.
While the JSON files themselves aren't exactly user-friendly at first glance, I've built a simple browser to display the data in a more accessible way.
As the saying goes, "a picture is worth a thousand words," and if it's animated, even better! So, I've attached an example of what the browser looks like in action.
You can also add new tags—I'm considering adding tags for BPM and key, which would be especially useful for musicians and DJs looking to find tracks that match specific criteria.
I hope this makes things clearer!
has anyone already said love2d? if you are up to learn lua which is not hard if you already know python I recommend it, specially for starting and 2d games.
I have an idea for a good use of this dataset. The attribution data is stored in JSON and Excel files, with entries that look like this:
To make the dataset more useful—particularly for identifying tracks that work well together in mixes—I’d like to add two extra fields to each track: "key" and "bpm".
I know how to extract this information myself, but with nearly 1,900 tracks under just one license type, doing it manually would take far too long.
If anyone’s interested in helping process and tag these tracks, we could create a really valuable tool for finding compatible tracks and building better mixes from this library of OGA music.
Let me know if you'd like to get involved!
I love the textures and colors, good work!
I was just sharing the info, mainly because some people are interested in backing up the site—and at the very least, this serves as a backup of the assets. That’s my main goal.
As for the purpose of the dataset: it’s not just about pixel art. It includes various graphic styles, music, and more. And honestly, there’s not much anyone can do about it—licenses allow it. Still, if someone finds it useful as a backup, then it’s there for them.
For anyone feeling concerned: There's an important distinction between having a dataset available for training and an AI actually being capable of understanding and using that data well enough to replace artists. Right now, AI is still far from reaching that level—especially when it comes to specialized artistic disciplines.
I doubt that a model trained solely on OGA would be very competitive, considering the vast and diverse datasets used to train most modern models. That said, this is purely speculation—I haven’t tested such a model or seen any artwork generated from it. However, OGA assets could potentially be included in larger datasets depending on their license. Based on my research, assets under CC0 and CC-BY licenses are eligible for inclusion, as they permit reuse—CC0 allows unrestricted use, while CC-BY requires attribution, both of which align with common dataset inclusion standards.
Apparently, someone has already done the work, and based on the dates, it was updated about 4 months ago. You can download everything from here:
https://huggingface.co/collections/nyuuzyou/opengameart-680b5aa2e8ab3ed893af03f0
Just to clarify: It’s not the website itself — the assets have been packed and organized by license, and those are what you can download.
For those unfamiliar: the site’s main purpose is not to serve as a backup of OGA, but to train AI using its assets. Nevertheless, you can download the dataset if you’d like to keep your own backup.
Update: I’ve already downloaded the CC0, GPL 2.0, and GPL 3.0 assets. Everything seems to be included, and the attribution list appears accurate. However, the files are organized only by art type, making it difficult to search for assets using other filters, such as artist name. To locate specific items, you'd need to check the attribution file and manually create folders based on artist, filter preferences, or create folders and order them alphabetically.
I love it and I mixed it: https://opengameart.org/content/battle-in-the-winter-battle-theme-a-pixelsphere-vs-jobromedia
for sure! here you are: https://codeberg.org/glitchapp/fish-fillets-remake, assets are distributed separately, you are credited here.
https://codeberg.org/glitchapp/fish-fillets-remake-assets/src/branch/main/creditstxt
https://codeberg.org/glitchapp/fish-fillets-remake-assets/src/branch/main/Credits.md
https://codeberg.org/glitchapp/fish-fillets-remake-assets/src/branch/main/MusicCredits.txt
Your tracks are here: https://codeberg.org/glitchapp/fish-fillets-remake-assets/src/commit/161bd53ea66020e9d2fe8247cc543925fd842276/music/EricMatyas
They are and you are of course credited on those games that have tracks created by you, thanks!
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