What this repository contains
Generated through Moonshiner with deterministic checks and independent review. Cumulative examples preserve tool arguments, results, corrections, and context; only the final assistant turn is the training target.
MOONSHINER DATA / DATASET
GLM 5.2 Traces
GLM trajectories for instruction following, tool use, and software development.
THE PROJECT, IN PRACTICE
What you can do with it.
Read the schema before training
Inspect the dataset card and viewer to understand fields, split definitions, and how examples were constructed.
Preserve the intended target
Use the documented training target and provenance. Cumulative trace datasets generally supervise the final assistant step rather than repeatedly training earlier context.
FROM IDEA TO USE
How it works.
- 01
Inspect
Read the model or dataset card and its provenance.
- 02
Prepare
Check the runtime or schema and your intended use.
- 03
Explore
Open the repository and follow its current usage instructions.
greghavens/glm-5.2-coding-and-debugging-tracesUse the source page for current files, requirements, and usage examples.
TAKE IT FOR A SPIN
Start here.
Generated through Moonshiner with deterministic checks and independent review. Cumulative examples preserve tool arguments, results, corrections, and context; only the final assistant turn is the training target.
STATUS & REQUIREMENTS
Published dataset. Use its card for schema, intended use, and licensing.