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DialoGLUE: A Natural Language Understanding Benchmark for Task-Oriented Dialogue

amazon.science conversation data machine learning natural language processing

Description

This bucket contains the checkpoints used to reproduce the baseline results reported in the DialoGLUE benchmark hosted on EvalAI (https://evalai.cloudcv.org/web/challenges/challenge-page/708/overview). The associated scripts for using the checkpoints are located here: https://github.com/alexa/dialoglue. The associated paper describing the benchmark and checkpoints is here: https://arxiv.org/abs/2009.13570. The provided checkpoints include the CONVBERT model, a BERT-esque model trained on a large open-domain conversational dataset. It also includes the CONVBERT-DG and BERT-DG checkpoints described in the linked paper.

Update Frequency

Not currently being updated

License

CDLA-Sharing

Documentation

https://github.com/alexa/dialoglue

Managed By

See all datasets managed by Amazon.

Contact

mihaeric@amazon.com, mehrishikib@gmail.com, hakkanit@amazon.com

How to Cite

DialoGLUE: A Natural Language Understanding Benchmark for Task-Oriented Dialogue was accessed on DATE from https://registry.opendata.aws/dialoglue.

Usage Examples

Publications

Resources on AWS

  • Description
    DialoGLUE checkpoints
    Resource type
    S3 Bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::dialoglue
    AWS Region
    us-east-1
    AWS CLI Access (No AWS account required)
    aws s3 ls --no-sign-request s3://dialoglue/
    Explore
    Browse Bucket

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