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  license: apache-2.0
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  license: apache-2.0
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+ # Model description
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+ This is an [tapas-base](https://huggingface.co/google/tapas-base) model, trained on the lookup queries of wikisql [wikisql](https://huggingface.co/datasets/wikisql) dataset. It was trained to take the tables and questions as input to extract answers from the table.
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+ # Overview
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+ *Language model*: tapas-base \
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+ *Language*: English\
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+ *Task*: Table Question Answering \
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+ *Data*: WikiSQL
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+
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+ # Intented use and limitations
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+ One can use this model to predict answers for natural language queries given a table. Biases associated with pre-training of tapas-base and wikisql dataset may be present.
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+
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+ ## Usage
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+ One can use this model directly in the [PrimeQA](https://github.com/primeqa/primeqa) framework as in this example [notebook](https://github.com/primeqa/primeqa/blob/tableqa_tapas/notebooks/tableqa/tableqa_inference.ipynb).
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+
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+
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+ ## Citation
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+ ```bibtex
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+ @misc{herzig2020tapas,
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+ title={TAPAS: Weakly Supervised Table Parsing via Pre-training},
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+ author={Jonathan Herzig and Paweł Krzysztof Nowak and Thomas Müller and Francesco Piccinno and Julian Martin Eisenschlos},
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+ year={2020},
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+ eprint={2004.02349},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.IR}
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+ }
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+
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+ ```