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flan_instruction_mixture_builder

flan_instruction_mixture_builder

Build FLAN-style multi-source instruction-finetuning mixtures while excluding held-out evaluation tasks and auditing source/CoT coverage.

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

name: flan_instruction_mixture_builder description: Build FLAN-style multi-source instruction-finetuning mixtures while excluding held-out evaluation tasks and auditing source/CoT coverage.

FLAN Instruction Mixture Builder

Use this skill when constructing an instruction-finetuning mixture inspired by Scaling Instruction-Finetuned Language Models. Do not use it for evaluation scoring or prompt rendering.

Inputs

  • Task records with source, task_id, benchmark, examples, and optional cot fields.
  • Held-out task ids, benchmark names, or aliases that must be excluded.

Outputs

  • Filtered mixture records.
  • Audit JSON with retained ids, excluded ids/reasons, per-source counts, and CoT counts.

Workflow

  1. Normalize task ids and benchmark names.
  2. Exclude tasks whose id or benchmark matches the held-out set.
  3. Preserve source labels and CoT flags for downstream checks.
  4. Emit retained and excluded task audit data.

Validation

Run python tests/test_mixture_builder.py.

Limitations

This skill enforces bounded recovery invariants and does not reproduce the full 1.8K-task FLAN mixture.

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