One hti after another! This track has so good production already that there's nothing I can add to it although would love to mix it. Beautiful and well done from composition to production. I love it.
No problem, I'm not admin here, but just for your information, you don't need to request to remove the track, you can edit it yourself. Keep the good work!
beautiful, but it sounds to me more happy / cherry than misterious, anyway beautiful melody, energetic bass and a lot of variety of sections and instruments. Well done!
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 meant one hit after another!
One hti after another! This track has so good production already that there's nothing I can add to it although would love to mix it. Beautiful and well done from composition to production. I love it.
I love it and immediately added to the playlist of my mixing software!
Thank you! Yes production and mixing is as fun as composing, I'm glad you like it and for sure let's make creativity flow!
No problem, I'm not admin here, but just for your information, you don't need to request to remove the track, you can edit it yourself. Keep the good work!
I meant "mysterious"
beautiful, but it sounds to me more happy / cherry than misterious, anyway beautiful melody, energetic bass and a lot of variety of sections and instruments. Well done!
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!
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