## Introduction

This is a repository for code and data accompanying the ICML 2021 paper
[SPREADSHEETCODER: Formula Prediction from Semi-structured Context](TBD).

If you use the code or data released through this repository, please
cite the following paper:
```
@inproceedings{spreadsheetcoder,
author    = {Chen, Xinyun  and
             Maniatis, Petros  and
             Singh, Rishabh  and
             Sutton, Charles and
             Dai, Hanjun and
             Lin, Max and
             Zhou, Denny },
title     = {SPREADSHEETCODER: Formula Prediction from Semi-structured Context},
booktitle = {Proceedings of the 38th International Conference on Machine Learning,
               {ICML} 2021, 12-18 July 2021},
series    = {Proceedings of Machine Learning Research},
publisher = {{PMLR}},
year      = {2021},
}
```

# Code

We are releasing sample code implementing the approach described in the paper.
At this point, the code is provided for illustration purposes, and is not
set up to be executed. Future modifications to this repository may make this
code runnable.


# Datasets

We are releasing a dataset that casts the Enron Spreadsheet corpus to our
representation. The original spreadsheet corpus is on (GitHub)[https://github.com/SheetJS/enron_xls].



## Introduction

This is a repository for code and data accompanying the ICML 2021 paper
[SPREADSHEETCODER: Formula Prediction from Semi-structured Context](https://arxiv.org/abs/2106.15339).

If you use the code or data released through this repository, please
cite the following paper:
```
@inproceedings{spreadsheetcoder,
author    = {Chen, Xinyun  and
             Maniatis, Petros  and
             Singh, Rishabh  and
             Sutton, Charles and
             Dai, Hanjun and
             Lin, Max and
             Zhou, Denny },
title     = {SPREADSHEETCODER: Formula Prediction from Semi-structured Context},
booktitle = {Proceedings of the 38th International Conference on Machine Learning,
               {ICML} 2021, 18-24 July 2021},
series    = {Proceedings of Machine Learning Research},
publisher = {{PMLR}},
year      = {2021},
}
```

# Code

We are releasing sample code implementing the approach described in the paper.
At this point, the code is provided for illustration purposes, and is not
set up to be executed. Future modifications to this repository may make this
code runnable.


# Datasets

We are releasing a dataset that casts the Enron Spreadsheet corpus to our
representation. The original spreadsheet corpus is on (GitHub)[https://github.com/SheetJS/enron_xls].



Update the readme to update the paper link, and fix the conference dates.
Update the readme to update the paper link, and fix the conference dates.

PiperOrigin-RevId: 382986758
