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Discrete Reasoning Over the content of Paragraphs (DROP)

Stream data with DDA:

from dagshub.streaming import DagsHubFilesystem

fs = DagsHubFilesystem(".", repo_url="https://dagshub.com/DagsHub-Datasets/allenai-drop-dataset")

fs.listdir("s3://ai2-public-datasets")

Description:

The DROP dataset contains 96k Question and Answer pairs (QAs) over 6.7K paragraphs, split between train (77k QAs), development (9.5k QAs) and a hidden test partition (9.5k QAs).

Contact:

The DROP dataset contains 96k Question and Answer pairs (QAs) over 6.7K paragraphs, split between train (77k QAs), development (9.5k QAs) and a hidden test partition (9.5k QAs).

Update Frequency:

Not updated

Managed By:

https://allenai.org

Resources:

  1. resource:
    • Description: Project data files in a public bucket
    • ARN: arn:aws:s3:::ai2-public-datasets
    • Region: us-west-2
    • Type: S3 Bucket

Tags:

aws-pds, machine learning, natural language processing

Publication:

  1. publication:
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About

allenai-drop-dataset is originate from the Registry of Open Data on AWS

Collaborators 5

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