Actions

Download Analytics Citations

Export to: EndNote  |  Zotero  |  Mendeley

Collections

This file is in the following collections:

VLSP - 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/r2p5547r421

Rights

MIT Licence (MIT)

Publisher

Durham University

Date Created

File Details

Depositor

G.T. Hudson

Date Uploaded

26 April 2022, 15:04:57

Date Modified

3 May 2022, 13:05:13

Audit Status

Audits have not yet been run on this file.

Related Files

hotpot_annotated_train.json

narrativeqa_train.json.bz2

style_change_validation.json.bz2

hotpot_annotated_valid.json

narrativeqa_test.json.bz2

opensubtitles_train.json.bz2

style_change_train.json.bz2

narrativeqa_validation.json.bz2

character_id_test.json.bz2

style_change_test.json.bz2

character_id_validation.json.bz2

opensubtitles_test.json.bz2

character_id_train.json.bz2

Characterization

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

Mime type: application/x-bzip2

File size: 20614877

Last modified: 2022:04:26 16:13:20+01:00

Filename: vlsp_test.json.bz2

Original checksum: 760023d80d221d7a408c1ed7df148edc