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README.md
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---
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license: cc-by-4.0
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language:
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- en
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pretty_name: Complex Constraints Benchmark Set
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size_categories:
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- n<1K
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task_categories:
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- text-generation
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tags:
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- instruction-following
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- benchmark
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- llm-evaluation
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configs:
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- config_name: default
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data_files:
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- split: test
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path: ComplexConstraints_Benchmark_Set.csv
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---
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# Complex Constraints Benchmark Set
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A benchmark for evaluating how well language models follow complex, multi-constraint instructions.
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It contains **75 items** (`CIF-001`–`CIF-075`), each a realistic prompt paired with **10–40
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evaluation criteria** (1,489 total) describing what a correct response must satisfy. Criteria are
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meant for rubric-based grading (human or LLM-as-a-judge), not exact match.
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## Structure
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Single wide-format CSV, one item per row:
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- `benchmark_id`, `prompt`, `use_case`, `instruction_type`, `prompt_style`
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- For each criterion *i* (1–40): `criterion_{i}`, `criterion_{i}_type` (Objective/Subjective),
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`criterion_{i}_necessity` (Explicit/Implicit). Unused criterion columns are empty.
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## Loading
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```python
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from datasets import load_dataset
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ds = load_dataset("USERNAME/complex-constraints-benchmark", split="test") # TODO: set repo id
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print(ds[0]["prompt"])
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```
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Or with pandas:
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```python
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import pandas as pd
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df = pd.read_csv("ComplexConstraints_Benchmark_Set.csv")
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```
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## License & Citation
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Released under [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/). You may use,
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redistribute, and adapt it for any purpose, including commercially, as long as you give
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appropriate credit.
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```bibtex
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@misc{complex_constraints_benchmark,
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title = {Complex Constraints Benchmark Set},
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author = {TODO: authors},
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year = {2025},
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url = {TODO: dataset URL}
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}
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```
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