Datasets:

Languages:
English
Size:
n<1K
License:
Robustness / README.md
jussikarlgren's picture
Added a TL;DR of the task and links to CLEF and ELOQUENT
c425f86 verified
metadata
license: cc-by-nc-sa-4.0
language:
  - en
configs:
  - config_name: test
    data_files:
      - split: test
        path: eloquent-2025-robustness.json
pretty_name: ELOQUENT Robustness and Consistency Task 2025
size_categories:
  - n<1K

ELOQUENT Robustness and Consistency Task

This dataset contains the sample and test datasets for the Robustness and Consistency task, which is part of the ELOQUENT lab. This dataset is for participants to generate texts for prompt variants, to investigate prompt style conditioned variation.

The task in brief (this is a simple task to execute!)

  • This dataset provides a number of questions in several languages
    • e.g. "question": "Is it more important to be polite or to be honest?"
  • You use a generative language model to answer the question in the languages your model handles
  • You send the response to us before mid-May 2025
  • We and you together discuss the results to explore how linguistic variation conditions responses
  • We write a joint report
  • Workshop at CLEF in Madrid 9-12 September 2025

Test Data

from datasets import load_dataset
data = load_dataset("Eloquent/Robustness", "test")