README.md

metadata

license: mit
task_categories:
  - text-generation
language:
  - en
pretty_name: IF Mix
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train.jsonl
tags:
  - benchmark
  - instruction-following

IFMix

IFMix is an instruction-following benchmark with 400 samples across 10 categories: format lock, lexical constraints, negative constraints, minimal output, multi-step procedure, transformation tasks, persistent rules (multi-turn), system vs user, conflict resolution, and tool use.

Fields

• id: unique sample id
• category: one of the 10 categories
• messages: conversation (list of {role, content})
• constraints: natural-language criteria a correct reply must satisfy

Evaluation

Each constraint is checked with an LLM judge (see eval.yaml).