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<img src="https://github.com/hitz-zentroa/This-is-not-a-Dataset/raw/main/assets/tittle.png" style="height: 250px;">
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<img src="https://github.com/hitz-zentroa/This-is-not-a-Dataset/raw/main/assets/tittle.png" style="height: 250px;">
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</p>
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<h3 align="center">"A Large Negation Benchmark to Challenge Large Language Models"</h3>
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<p align="justify">
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We introduce a large semi-automatically generated dataset of ~400,000 descriptive sentences about commonsense knowledge that can be true or false in which negation is present in about 2/3 of the corpus in different forms that we use to evaluate LLMs.
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</p>
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- 📖 Paper: [This is not a Dataset: A Large Negation Benchmark to Challenge Large Language Models (EMNLP'23)]()
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- 💻 Baseline Code the Official Scorer: [https://github.com/hitz-zentroa/This-is-not-a-Dataset](https://github.com/hitz-zentroa/This-is-not-a-Dataset)
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# Data explanation
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- **pattern_id** (int): The ID of the pattern,in range [1,11]
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- **pattern** (str): The name of the pattern
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- **test_id** (int): For each pattern we use a set of templates to instanciate the triples. Examples are grouped in triples by test id
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- **negation_type** (str): Affirmation, verbal, non-verbal
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- **semantic_type** (str): None (for affirmative sentences), analytic, synthetic
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- **syntactic_scope** (str): None (for affirmative sentences), clausal, subclausal
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- **isDistractor** (bool): We use distractors (randonly selectec synsets) to generate false kwoledge.
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- **<span style="color:green">sentence</span>** (str): The sentence. <ins>This is the input of the model</ins>
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- **<span style="color:green">label</span>** (bool): The label of the example, True if the statement is true, False otherwise. <ins>This is the target of the model</ins>
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If you want to run experiments with this dataset, please, use the [Official Scorer](https://github.com/hitz-zentroa/This-is-not-a-Dataset#scorer) to ensure reproducibility and fairness.
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# Citation
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The paper will be presented at EMNLP 2023, the citation will be available soon. For now, you can use the following bibtex:
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```bibtex
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@inproceedings{this-is-not-a-dataset,
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title = "This is not a Dataset: A Large Negation Benchmark to Challenge Large Language Models",
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author = "Iker García-Ferrero, Begoña Altuna, Javier Alvez, Itziar Gonzalez-Dios, German Rigau",
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booktitle = "Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP)",
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year = "2023",
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publisher = "Association for Computational Linguistics",
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}
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```
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