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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](https://huggingface.co/datasets/wikisql) dataset. It was trained to take 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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# 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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## 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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## 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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``` |
