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Update files from the datasets library (from 1.3.0)

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Release notes: https://github.com/huggingface/datasets/releases/tag/1.3.0

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  1. README.md +5 -1
README.md CHANGED
@@ -46,6 +46,7 @@ task_ids:
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  - [Dataset Curators](#dataset-curators)
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  - [Licensing Information](#licensing-information)
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  - [Citation Information](#citation-information)
 
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  ## Dataset Description
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@@ -246,4 +247,7 @@ The dataset is licensed under the [MIT License](https://mit-license.org/).
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  pages = "960--966",
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  abstract = "We present HEAD-QA, a multi-choice question answering testbed to encourage research on complex reasoning. The questions come from exams to access a specialized position in the Spanish healthcare system, and are challenging even for highly specialized humans. We then consider monolingual (Spanish) and cross-lingual (to English) experiments with information retrieval and neural techniques. We show that: (i) HEAD-QA challenges current methods, and (ii) the results lag well behind human performance, demonstrating its usefulness as a benchmark for future work.",
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  }
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- ```
 
 
 
 
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  - [Dataset Curators](#dataset-curators)
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  - [Licensing Information](#licensing-information)
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  - [Citation Information](#citation-information)
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+ - [Contributions](#contributions)
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  ## Dataset Description
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  pages = "960--966",
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  abstract = "We present HEAD-QA, a multi-choice question answering testbed to encourage research on complex reasoning. The questions come from exams to access a specialized position in the Spanish healthcare system, and are challenging even for highly specialized humans. We then consider monolingual (Spanish) and cross-lingual (to English) experiments with information retrieval and neural techniques. We show that: (i) HEAD-QA challenges current methods, and (ii) the results lag well behind human performance, demonstrating its usefulness as a benchmark for future work.",
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  }
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+ ```
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+ ### Contributions
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+
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+ Thanks to [@mariagrandury](https://github.com/mariagrandury) for adding this dataset.