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README.md
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# T<span style="font-size:0.8em;">A</span>PE<span style="font-size:0.8em;">X</span>: Table Pre-training via Learning a Neural SQL Executor
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<p align="center">
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<a href="https://github.com/huggingface/transformers/tree/main/examples/research_projects/tapex">
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<img alt="🤗 transformers support" src="https://img.shields.io/badge/🤗 transformers-master-green" />
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</a>
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<a href="https://github.com/MLNLP-World/Paper_Writing_Tips/stargazers">
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<img alt="stars" src="https://img.shields.io/github/stars/microsoft/Table-Pretraining" />
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</a>
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<a href="https://github.com/MLNLP-World/Paper_Writing_Tips/network/members">
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<img alt="FORK" src="https://img.shields.io/github/forks/microsoft/Table-Pretraining?color=FF8000" />
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</a>
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<a href="https://github.com/MLNLP-World/Paper_Writing_Tips/issues">
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<img alt="Issues" src="https://img.shields.io/github/issues/microsoft/Table-Pretraining?color=0088ff"/>
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</a>
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<br />
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</p>
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The official repository which contains the code and pre-trained models for our paper [T<span style="font-size:0.8em;">A</span>PE<span style="font-size:0.8em;">X</span>: Table Pre-training via Learning a Neural SQL Executor](https://arxiv.org/pdf/2107.07653.pdf).
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[](https://paperswithcode.com/sota/semantic-parsing-on-sqa?p=tapex-table-pre-training-via-learning-a)
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[](https://paperswithcode.com/sota/table-based-fact-verification-on-tabfact?p=tapex-table-pre-training-via-learning-a)
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[](https://paperswithcode.com/sota/semantic-parsing-on-wikisql-1?p=tapex-table-pre-training-via-learning-a)
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[](https://paperswithcode.com/sota/semantic-parsing-on-wikitablequestions?p=tapex-table-pre-training-via-learning-a)
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The official repository which contains the code and pre-trained models for our paper [T<span style="font-size:0.8em;">A</span>PE<span style="font-size:0.8em;">X</span>: Table Pre-training via Learning a Neural SQL Executor](https://arxiv.org/pdf/2107.07653.pdf).
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# 🔥 Updates
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- [**2022-04-19**]: TAPEX is officially supported by 🤗 transformers! Now you can find the [example fine-tuning script](https://github.com/huggingface/transformers/tree/main/examples/research_projects/tapex) and the [tapex model](https://huggingface.co/models?search=microsoft/tapex) on the huggingface master branch. Have fun!
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- [**2022-03-09**]: We have fixed the issue in `tapex-large`! Now you can view [here](#-run-tapex-using-huggingface) to see how to fine-tune TAPEX using 🤗 transformers and 🤗 datasets! They will be merged into the main library soon!
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- [**2022-02-20**]: Our paper is accepted by ICLR 2022! We also provided a fine-tuning script based on 🤗 transformers, which is not merged now. You can see the preview version [here](https://github.com/SivilTaram/transformers/tree/add_tapex_bis/examples/research_projects/tapex). ⚠️ It is worth noting that `tapex-large` is not well-prepared now. We found there is a strange bug in `bart-large`, which also affects `tapex-large`. Hope it is solved in the near future.
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- [**2021-10-25**]: We released the code for Table Pre-training. You can [check it out](examples/pretrain) and try pre-training on your data!
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@ -145,18 +162,6 @@ $ python examples/tableqa/run_model.py predict --resource-dir ./tapex.large.wtq
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2021-08-29 17:39:47 | INFO | __main__ | The answer should be : 2004
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```
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# ❓ Frequently Asked Questions
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### 1. AttributeError: 'NoneType' object has no attribute 'bpe'
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You should firstly check the version of fairseq, which should be `1.0.0a0+801a646` when you use `pip list` to show it.
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Note that the fairseq dependency is not officially released as `1.0.0`, so the one is not correct if you directly install it from `pip install fairseq`. Our installtion is equalivant to the following command:
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```shell
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pip install git+https://github.com/pytorch/fairseq.git@801a64683164680562c77b688d9ca77fc3e0cea7
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```
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It also requires you to have `Git` installed at first.
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# 🤗 Run TAPEX using Huggingface
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First, you should run the following commands to install the latest lib developed for TAPEX.
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@ -166,7 +171,7 @@ pip install https://github.com/SivilTaram/datasets/archive/add-wtq-dataset.zip -
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pip install https://github.com/SivilTaram/transformers/archive/add_tapex_bis.zip --user
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```
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Then, you could find the detailed tutorial on how to reproduce our results on benchmarks at [here](https://github.com/SivilTaram/transformers/tree/add_tapex_bis/examples/research_projects/tapex).
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Then, you could find the detailed tutorial on how to reproduce our results on benchmarks at [here](https://github.com/huggingface/transformers/tree/main/examples/research_projects/tapex).
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# 💬 Citation
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@ -183,6 +188,18 @@ If our work is useful for you, please consider citing our paper:
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}
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```
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# ❓ Frequently Asked Questions
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### 1. AttributeError: 'NoneType' object has no attribute 'bpe'
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You should firstly check the version of fairseq, which should be `1.0.0a0+801a646` when you use `pip list` to show it.
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Note that the fairseq dependency is not officially released as `1.0.0`, so the one is not correct if you directly install it from `pip install fairseq`. Our installtion is equalivant to the following command:
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```shell
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pip install git+https://github.com/pytorch/fairseq.git@801a64683164680562c77b688d9ca77fc3e0cea7
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```
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It also requires you to have `Git` installed at first.
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# 👍 Contributing
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This project welcomes contributions and suggestions. Most contributions require you to agree to a
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