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  <!-- Provide a quick summary of the dataset. -->
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- xstorycloze_gl is a question answering dataset in Galician.
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  ## Dataset Details
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  - **Language(s) (NLP):** Galician
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  - **License:** [CC-BY 4.0](https://creativecommons.org/licenses/by/4.0/)
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  ## Dataset Structure
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  The dataset is provided in CSV format where each row corresponds to a four-sentence story and contains an instance identifier, the story divided in four fields for each sentence, 2 possible completions for the story, and the number - either 1 or 2 - corresponding to the correct completion. Each line contains the following fields:
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  - `InputSentence4`: The forth statement in the story.
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  - `RandomFifthSentenceQuiz1`: first possible continuation of the story.
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  - `RandomFifthSentenceQuiz2`: second possible continuation of the story.
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- - `AnswerRightEnding`: correct possible ending; either 1 or 2.
 
 
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  <!-- Provide a quick summary of the dataset. -->
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+ xstorycloze_gl is a question answering dataset in Galician, translated from the [English StoryCloze dataset](https://cs.rochester.edu/nlp/rocstories/).
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  ## Dataset Details
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  - **Language(s) (NLP):** Galician
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  - **License:** [CC-BY 4.0](https://creativecommons.org/licenses/by/4.0/)
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+ ### Dataset Sources
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+ - **Repository:** [Proxecto NÓS at HuggingFace](https://huggingface.co/proxectonos)
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+ ## Uses
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+ xstorycloze_gl is intended to evaluate reading comprehension of language models. Some suitable use cases for the dataset are:
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+ - Common sense reasoning: xstorycloze_ca contains stories that require basic background knowledge, such as the cost of things or the consequences of social interactions.
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+ - Casuality understanding: The stories in xstorycloze_ca are full of temporal and causal relationships between events, which requires a coherent way of understanding causality in narratives.
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+ - Multiple choice test: For each story, xstorycloze_ca has 2 different completions which require reasoning between different options.
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+ - Reading comprehension: Problems and answers in xstorycloze_ca are formulated in natural language.
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+
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  ## Dataset Structure
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  The dataset is provided in CSV format where each row corresponds to a four-sentence story and contains an instance identifier, the story divided in four fields for each sentence, 2 possible completions for the story, and the number - either 1 or 2 - corresponding to the correct completion. Each line contains the following fields:
 
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  - `InputSentence4`: The forth statement in the story.
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  - `RandomFifthSentenceQuiz1`: first possible continuation of the story.
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  - `RandomFifthSentenceQuiz2`: second possible continuation of the story.
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+ - `AnswerRightEnding`: correct possible ending; either 1 or 2.
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+