QRData

Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data <a href="https://arxiv.org/abs/2402.17644">[Paper]</a> <a href="https://xxxiaol.github.io/QRData/">[Project Website]</a>

Benchmark

We provide the questions of quantitative reasoning with data (QRData) in benchmark/QRData.json. It contains 411 questions with the following keys.

• data_description
• question
• answer
• data_files: a list of names of data files
• meta_data: a dict contains reference, keywords, question_type, and multiple_choices (the possible choices if question_type is 'multiple_choice').

Data files related to the questions are in benchmark/data.zip.

~~Questions of quantitative reasoning with text (QRText) are in benchmark/QRText.json.~~ Some numerical questions in QRText encounter measurement errors. We will release the corrected version in the future.

The script for evaluation is in 'benchmark/eval.py'.

Citation

Please cite our paper if this repository inspires your work.

@inproceedings{liu-etal-2024-llms,
    title = "Are {LLM}s Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data",
    author = "Liu, Xiao  and
      Wu, Zirui  and
      Wu, Xueqing  and
      Lu, Pan  and
      Chang, Kai-Wei  and
      Feng, Yansong",
    editor = "Ku, Lun-Wei  and
      Martins, Andre  and
      Srikumar, Vivek",
    booktitle = "Findings of the Association for Computational Linguistics ACL 2024",
    month = aug,
    year = "2024",
    address = "Bangkok, Thailand and virtual meeting",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.findings-acl.548",
    pages = "9215--9235",
}