We’ve spent a while trying to generate a very specific, complex, multi‑turn conversation dataset. Most tools pushed us toward glue scripts and one‑off pipelines that were hard to review or reuse. Torque is our attempt to make this boring and predictable: a small, MIT‑licensed framework that treats dataset generation like building a UI. You define small, declarative “components” and compose them into pipelines. The goal is clear code and repeatable runs, not another heavy DSL.
It’s early and open source. We’d love feedback on the API design, examples you’d like to see, and rough edges we should fix first.
Docs and code: https://github.com/qforge-dev/torque
We’ve spent a while trying to generate a very specific, complex, multi‑turn conversation dataset. Most tools pushed us toward glue scripts and one‑off pipelines that were hard to review or reuse. Torque is our attempt to make this boring and predictable: a small, MIT‑licensed framework that treats dataset generation like building a UI. You define small, declarative “components” and compose them into pipelines. The goal is clear code and repeatable runs, not another heavy DSL. It’s early and open source. We’d love feedback on the API design, examples you’d like to see, and rough edges we should fix first. Docs and code: https://github.com/qforge-dev/torque