jonathanli/CoSyn-400K
CoSyn-400k CoSyn-400k is a collection of synthetic question-answer pairs about very diverse range of computer-generated images. The data was created by using the Claude large language model to generate code that can be executed to render an image, and using GPT-4o mini to generate Q/A pairs based on the code (without using the rendered image). The code used to generate this data is open source. Synthetic pointing data is available in a seperate repo. Quick links: 📃 CoSyn… See the full description on the dataset page: https://huggingface.co/datasets/jonathanli/CoSyn-400K.
| Author / organization | jonathanli |
|---|---|
| License (as declared) | odc-by |
| Downloads | 1.3K (as reported by Hugging Face) |
| Likes | 0 |
| Created | 17 January 2026 |
| Last updated at source | 17 January 2026 |
Popularity, last 2 days
1,257 now (-69 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
More from jonathanli
- jonathanli/ocr-screens-v2Dataset
- jonathanli/pdfa-eng-wds-filteredDataset
- jonathanli/ocr-screens-v1Dataset
- jonathanli/legal-advice-redditDataset
- jonathanli/law-stack-exchangeDataset
- jonathanli/DocmatixDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.