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README.md
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### Introduction
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Generalized quantifiers (e.g., few, most) are used to indicate the proportions predicates are satisfied. QuRe is quantifier reasoning dataset from [Pragmatic Reasoning Unlocks Quantifier Semantics for Foundation Models](https://arxiv.org/pdf/2311.04659). It includes real-world sentences from Wikipedia and human annotations of generalized quantifiers from English speakers.
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###
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```
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{
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"orig_sentence": "In order for a steel to be considered stainless it must have a Chromium content of at least 10.5%.",
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* specificity: the difficulty of deciphering the percentage scope of the quantifier from the sentence excluding the quantifier.
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* wiki_entity: the wikipedia entity that includes <i>orig_sentence</i> in the wikipage content.
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* topics: sentence topics.
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### Reference
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```
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### Introduction
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Generalized quantifiers (e.g., few, most) are used to indicate the proportions predicates are satisfied. QuRe is quantifier reasoning dataset from [Pragmatic Reasoning Unlocks Quantifier Semantics for Foundation Models](https://arxiv.org/pdf/2311.04659). It includes real-world sentences from Wikipedia and human annotations of generalized quantifiers from English speakers.
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### Sample
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```
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{
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"orig_sentence": "In order for a steel to be considered stainless it must have a Chromium content of at least 10.5%.",
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* specificity: the difficulty of deciphering the percentage scope of the quantifier from the sentence excluding the quantifier.
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* wiki_entity: the wikipedia entity that includes <i>orig_sentence</i> in the wikipage content.
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* topics: sentence topics.
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### Document
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```
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from datasets import load_dataset
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ds = load_dataset("billli/QuRe")
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```
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### Reference
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```
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