Build FLAN-style multi-source instruction-finetuning mixtures while excluding held-out evaluation tasks and auditing source/CoT coverage.
Scanned 9/9/2026
Install to Claude Code
npx -y skills add VectorSpaceLab/AREX-Skill --skill flan_instruction_mixture_builder --agent claude-codeInstalls into .claude/skills of the current project.
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---
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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