
Sold by: Allen Institute for AI
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14k QA pairs over 1.7K paragraphs, split between train (10k QAs), development (1.6k QAs) and a hidden test partition (1.7k QAs).
Overview
14k QA pairs over 1.7K paragraphs, split between train (10k QAs), development (1.6k QAs) and a hidden test partition (1.7k QAs).
Features and programs
Open Data Sponsorship Program
This dataset is part of the Open Data Sponsorship Program, an AWS program that covers the cost of storage for publicly available high-value cloud-optimized datasets.
Pricing
This is a publicly available data set. No subscription is required.
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AWS Data Exchange (ADX)
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Open data resources
Available with or without an AWS account.
- How to use
- To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more
- Description
- Project data files in a public bucket
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::ai2-public-datasets
- AWS region
- us-west-2
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://ai2-public-datasets/
Resources
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How to cite
Reasoning Over Paragraph Effects in Situations (ROPES) was accessed on DATE from https://registry.opendata.aws/allenai-ropes .
License
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