atal-narayan/copra-flow-tg-frog
COPRA Flow TG-FROG A synthetic dataset for learning to refine ultrafast pulse reconstructions from transient-grating frequency-resolved optical gating (TG-FROG) traces. It contains 10,000 pulses, each paired with 30 reconstruction candidates: 300,000 source–target pairs in total. Code: atalnarayan/copra-flow Trained model: atal-narayan/copra-flow License: CC BY 4.0 Size: approximately 3.8 GB to download; approximately another 3.8 GB to extract Download and use… See the full description on the dataset page: https://huggingface.co/datasets/atal-narayan/copra-flow-tg-frog.
| Author / organization | atal-narayan |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 0 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 21 October 2026 |
| Last updated at source | 21 October 2026 |
Recent changes
- 21 Oct 2026 License: none → cc-by-4.0
- 21 Oct 2026 Description: none → COPRA Flow TG-FROG A synthetic dataset for learning to refine ultrafast pulse reconstructions from transient-grating frequency-resolved optical gating (TG-FROG) traces. It contains 10,000 pulses, each paired with 30 reconstruction candidate
- 21 Oct 2026 Topics added physics, optics, ultrafast-optics, tg-frog, pulse-retrieval, synthetic, numpy
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