I understand yo but I'm afraid that happens in many other sites too (not being able to download a full collection of assets or a backup). I do share my assets on more sites including my own repositories, and I encourage you to do so, not because of this but simply because the more places you share free assets the better and the more people can access them (and less chances the assets are lost due to some site closing). That's the great thing about assets with free licenses, there's no limits to where you can share them.
Oh and if you need help to download from huggingface do not hesitate to ask, I'm willing to help.
Actually, I don’t think replacing the user database with dummy accounts is enough. Even if the data is public, there might still be sensitive information in the conversations. Personally, I believe that when you post something on a forum, you’re sharing it specifically with that community — not giving permission for anyone to make and keep a backup elsewhere (though I’m not familiar with the legal aspects of this).
I also understand that separating sensitive data from public data requires a lot of effort, and I appreciate that our privacy is being taken seriously.
If the real value lies in the assets that have already been backed up — and those can be downloaded from another server without causing additional traffic to OGA (at least as of recently) — I don’t see why the work needs to be redone.
Actually, the database of OGA assets I mentioned above was created specifically for that purpose: AI training. So, unfortunately, it’s already out there—anyone with the technical skills can use it to build a model. The license allows it, so it’s really just a matter of time before someone does (if they haven’t already).
That’s the core issue: if you don’t want your assets used for AI training, copyright alone won’t stop it. As I’ve said before, nearly all major models are trained on copyrighted material—whether companies admit it or not. Some are even open about it.
In my opinion, the only reliable way to prevent your art from being used in AI training is not to publish it at all. Keep it on your hard drive, show it only in person with trusted friends, and make sure it’s never photographed or recorded.
As for that database— It already includes a huge collection of assets. Sure, it’s not fully up to date (it was uploaded five months ago), but you can easily bridge the gap by downloading whatever has been added since then.
In case it's helpful to anyone, I found the asset collection on Hugging Face to be quite comprehensive (it was submitted about five months ago). I also created a small script that lets you search through the JSON files included in the collection. You can filter assets by author, genre, and type, or use your own keywords to search.
There might be other things people are looking for that aren't in the collection, but personally, it covers pretty much everything I need.
By using that source to download the assets, you reduce traffic for Oga since the process is handled independently.
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.
I understand yo but I'm afraid that happens in many other sites too (not being able to download a full collection of assets or a backup). I do share my assets on more sites including my own repositories, and I encourage you to do so, not because of this but simply because the more places you share free assets the better and the more people can access them (and less chances the assets are lost due to some site closing). That's the great thing about assets with free licenses, there's no limits to where you can share them.
Oh and if you need help to download from huggingface do not hesitate to ask, I'm willing to help.
Actually, I don’t think replacing the user database with dummy accounts is enough. Even if the data is public, there might still be sensitive information in the conversations. Personally, I believe that when you post something on a forum, you’re sharing it specifically with that community — not giving permission for anyone to make and keep a backup elsewhere (though I’m not familiar with the legal aspects of this).
I also understand that separating sensitive data from public data requires a lot of effort, and I appreciate that our privacy is being taken seriously.
If the real value lies in the assets that have already been backed up — and those can be downloaded from another server without causing additional traffic to OGA (at least as of recently) — I don’t see why the work needs to be redone.
Actually, the database of OGA assets I mentioned above was created specifically for that purpose: AI training. So, unfortunately, it’s already out there—anyone with the technical skills can use it to build a model. The license allows it, so it’s really just a matter of time before someone does (if they haven’t already).
That’s the core issue: if you don’t want your assets used for AI training, copyright alone won’t stop it. As I’ve said before, nearly all major models are trained on copyrighted material—whether companies admit it or not. Some are even open about it.
In my opinion, the only reliable way to prevent your art from being used in AI training is not to publish it at all. Keep it on your hard drive, show it only in person with trusted friends, and make sure it’s never photographed or recorded.
As for that database— It already includes a huge collection of assets. Sure, it’s not fully up to date (it was uploaded five months ago), but you can easily bridge the gap by downloading whatever has been added since then.
In case it's helpful to anyone, I found the asset collection on Hugging Face to be quite comprehensive (it was submitted about five months ago). I also created a small script that lets you search through the JSON files included in the collection. You can filter assets by author, genre, and type, or use your own keywords to search.
There might be other things people are looking for that aren't in the collection, but personally, it covers pretty much everything I need.
By using that source to download the assets, you reduce traffic for Oga since the process is handled independently.
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.
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