metadata
configs:
- config_name: default
data_files:
- split: all
path: data.csv
language:
- en
size_categories:
- n<1K
license: cc
This dataset is a curated subset of 631 speeches selected from the ibm-research/debate_speeches corpus. In our work, Debatable Intelligence: Benchmarking LLM Judges via Debate Speech Evaluation, we use this subset to benchmark LLM judges on the task of debate speech evaluation.
Data fields
id: The unique identifier for the speech.topic_id: The unique identifier for the topic.topic: The topic of the debate speech (e.g., "Community service should be mandatory").source: The speech source (e.g., "Human-expert" for human authored speeches).text: The text of the speech.goodopeningspeech: A list of human rating for the speech (a number between 1 and 5 for each annotator).#labelers: The number of human annotators who rated the speech.labeler_ids: A list of the unique identifiers for the human annotators who rated the speech.
Bibtex
@misc{sternlicht2025debatableintelligencebenchmarkingllm,
title={Debatable Intelligence: Benchmarking LLM Judges via Debate Speech Evaluation},
author={Noy Sternlicht and Ariel Gera and Roy Bar-Haim and Tom Hope and Noam Slonim},
year={2025},
eprint={2506.05062},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2506.05062},
}
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