A diffusion model with BERT language conditioning can generate simple 100-step time series from natural language prompts, supported by a new 63,010-pair dataset.
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Towards Time Series Generation Conditioned on Unstructured Natural Language
A diffusion model with BERT language conditioning can generate simple 100-step time series from natural language prompts, supported by a new 63,010-pair dataset.