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This project forked from yale-lily/convosumm

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License: Creative Commons Attribution Share Alike 4.0 International

Shell 1.05% JavaScript 0.13% C++ 0.10% Python 77.31% Lua 0.02% CSS 0.04% Cuda 0.22% Makefile 0.02% HTML 0.04% Batchfile 0.01% Jupyter Notebook 20.94% Cython 0.07% Dockerfile 0.04% Jsonnet 0.01%

convosumm_ku8z's Introduction

ConvoSumm

Data, code, and model checkpoints for the ACL 2021 paper ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Mining!

Data

The data can be accessed from this Google Drive link.

The data-non-processed contains the original, non-processed data and is 27MB, while data-processed contains the data for vanilla, -arg-filtered, and -arg-graph experiments, as well as model outputs, and is 611 MB.

Using the gdrive cli, download the folders with the following command

gdrive download --recursive 1HfyCMa1fQ5DkzME9RQZkytZQfyDjE1EK

The data can also be downloaded from this S3 bucket.

aws s3 cp --recursive s3://convosumm/data/ ./data

Code and Model Checkpoints

Please see this README for code details.

Model checkpoints can be downloaded from the S3 bucket (~80GB):

aws s3 cp --recursive s3://convosumm/checkpoints/ ./checkpoints

convosumm_ku8z's People

Contributors

trellixvulnteam avatar patchtester avatar

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