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README.md
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@@ -19,17 +19,16 @@ truth answers.
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### Data Fields
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#### popqa-tp
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- `paraphrase` (string):
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- `prop` (string): relationship type category of question.
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- `template_id` (integer): integer ID of the paraphrase template used
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- `possible_answers
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- `id
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### Citation Information
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```
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@inproceedings{rabinovich2023predicting,
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title={Predicting Question-Answering Performance of Large Language Models
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through Semantic Consistency},
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author={Ella Rabinovich, Samuel Ackerman, Orna Raz, Eitan Farchi, Ateret Anaby-Tavor},
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booktitle = "Proceedings of the 3rd Version of the Generation, Evaluation & Metrics (GEM) Workshop of The 2023 Conference on Empirical Methods in Natural Language Processing",
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publisher = "Association for Computational Linguistics",
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### Data Fields
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#### popqa-tp
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- `paraphrase` (string): paraphrase of question from PopQA.
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- `prop` (string): relationship type category of question.
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- `template_id` (integer): integer ID of the paraphrase template used to create `paraphrase`. Value of 0 indicates it is the original question form from PopQA.
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- `possible_answers` (list of strings): a list of the gold answers.
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- `id` (integer): original ID of question from PopQA
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### Citation Information
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```
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@inproceedings{rabinovich2023predicting,
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title={Predicting Question-Answering Performance of Large Language Models Through Semantic Consistency},
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author={Ella Rabinovich, Samuel Ackerman, Orna Raz, Eitan Farchi, Ateret Anaby-Tavor},
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booktitle = "Proceedings of the 3rd Version of the Generation, Evaluation & Metrics (GEM) Workshop of The 2023 Conference on Empirical Methods in Natural Language Processing",
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publisher = "Association for Computational Linguistics",
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