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--- |
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license: cc-by-nc-sa-4.0 |
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language: |
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- en |
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- fi |
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- fr |
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- de |
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- sv |
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- nl |
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- fa |
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- da |
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configs: |
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- config_name: test |
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data_files: |
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- split: test |
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path: eloquent-2025-robustness-prompts.json |
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pretty_name: ELOQUENT Robustness and Consistency Task 2025 |
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size_categories: |
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- n<1K |
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--- |
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# ELOQUENT Robustness and Consistency Task |
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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. |
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- [Robustness task](https://eloquent-lab.github.io/task-robustness-and-consistency/) |
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- [ELOQUENT lab](https://eloquent-lab.github.io/) |
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- [CLEF conference](https://clef2025.clef-initiative.eu/) 9-12 September 2025 |
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## The task in brief (this is a simple task to execute!) |
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- This dataset provides a number of questions in several languages |
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- e.g. `"question": "Is it more important to be polite or to be honest?"` |
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- You use a generative language model to answer the question in the languages your model handles |
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- Use separate sessions for each response! They are not intended to be interpreted as follow-up responses. |
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- You send the response to us before mid-May 2025 |
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- We and you together discuss the results to explore how linguistic variation conditions responses |
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- We write a joint report |
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- Workshop at CLEF in Madrid 9-12 September 2025 |
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## Submit Here: |
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[Submission Form](https://forms.gle/cy5hrrWRbyJ8mchz7) |
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#### Test Data |
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```python |
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from datasets import load_dataset |
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data = load_dataset("Eloquent/Robustness", "test") |
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``` |
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## Dataset authors |
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Marie Isabel Engels (en, de) |
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Jussi Karlgren (en, sv) |
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Josiane Mothe (fr) |
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Aarne Talman (fi) |
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Maria Barrett (da) |
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Shaghayegh Roohi (fa) |
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Sander Bijl de Vroe (nl) |
