Microsoft Open Source Code of Conduct

This project has adopted the Microsoft Open Source Code of Conduct.

Resources:

Microsoft Open Source Code of Conduct
Microsoft Code of Conduct FAQ
Contact opencode@microsoft.com with questions or concerns

Transformer-XH

The source codes of the paper "Transformer-XH: Multi-evidence Reasoning with Extra Hop Attention (ICLR 2020)".

Dependency Installation

First, Run python setup.py develop to install required dependencies for transformer-xh. Also install apex (for distributed training) following official documentation here.

Data and trained model Download

You can run bash script download.sh

For Hotpot QA, we provide processed graph (Transformer-XH) input here, after downloading, unzip it and put into ./data folder We also provide trained model here, unzip the downloaded model and put into ./experiments folder

Similarly, we provide processed graph in fever here, and trained model here.

Run Your Models

Use hotpot_train.sh for training on hotpot QA task, hotpot_eval.sh for evaluation (default fp16 training).

Similarly, fever_train.sh for training on FEVER task, fever_eval.sh for evaluation (default fp16 training).

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