---
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`).