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NarrativeQA test [dataset] Open Access

MuLD (Multitask Long Document Benchmark) is a set of 6 NLP tasks where the inputs consist of at least 10,000 words. The benchmark covers a wide variety of task types including translation, summarization, question answering, and classification. Additionally there is a range of output lengths from a single word classification label all the way up to an output longer than the input text.

Descriptions

Resource type

Dataset

Contributors

Data collector: Hudson, G Thomas ¹

¹ Durham Univesity

Funder

Research methods

Other description

Keyword

nlp
multitask
long document

Subject

Location

Language

Cited in

Identifier

ark:/32150/r2mk61rg96c

Rights

MIT Licence (MIT)

Publisher

Durham University

Date Created

File Details

Depositor

G.T. Hudson

Date Uploaded

26 April 2022, 15:04:24

Date Modified

3 May 2022, 13:05:30

Audit Status

Audits have not yet been run on this file.

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Characterization

File format: x-bzip2 (bzip2 compressed data, block size = 900k, BZ2, Bzip2)

Mime type: application/x-bzip2

File size: 586503252

Last modified: 2022:04:26 16:13:52+01:00

Filename: narrativeqa_test.json.bz2

Original checksum: eca33dd771dbd708e67cc079c06d2dbd