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

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

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 s3://dialoglue/ --no-sign-request

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