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CORRECTED TRACES / DATASET

Fable 5 · Synthetic Corrections

A companion dataset of narrowly corrected, independently re-judged traces.

THE PROJECT, IN PRACTICE

What you can do with it.

01

What this repository contains

Starts from failed model sessions and applies explicitly disclosed synthetic corrections. Source reasoning is preserved. It is separate from the original traces, so the provenance of corrections stays visible.

02

Read the schema before training

Inspect the dataset card and viewer to understand fields, split definitions, and how examples were constructed.

03

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.

  1. 01

    Inspect

    Read the model or dataset card and its provenance.

  2. 02

    Prepare

    Check the runtime or schema and your intended use.

  3. 03

    Explore

    Open the repository and follow its current usage instructions.

Repository coordinates
greghavens/fable-5-coding-and-debugging-traces-synthetic-corrections

Use the source page for current files, requirements, and usage examples.

TAKE IT FOR A SPIN

Start here.

Starts from failed model sessions and applies explicitly disclosed synthetic corrections. Source reasoning is preserved. It is separate from the original traces, so the provenance of corrections stays visible.

STATUS & REQUIREMENTS

Published dataset. Use its card for schema, intended use, and licensing.