Hacker News with Generative AI: Data Generation

Show HN: Curator – an open-source library for synthetic data generation (github.com/bespokelabsai)
Bespoke Curator makes it easy to create synthetic data pipelines. Whether you are training a model or extracting structure, Curator will prepare high-quality data quickly and robustly.
How to Create (Lots of) Sample Time-series Data with PostgreSQL (2021) (timescale.com)
As the makers of TimescaleDB, we often need to quickly create lots of sample time-series data to demonstrate a new database feature, run a benchmark, or talk about use cases internally.
DeepSeek: Advancing theorem proving in LLMs through large-scale synthetic data (arxiv.org)
To address this issue, we introduce an approach to generate extensive Lean 4 proof data derived from high-school and undergraduate-level mathematical competition problems.
In the land of LLMs, can we do better mock data generation? (neurelo.substack.com)
In the land of LLMs, can we do better mock data generation?