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MuLD: The Multitask Long Document Benchmark [dataset]

Hotpot Annotated - train [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/r2t435gd01h
Rights
MIT Licence (MIT)

Publisher
Durham University
Date Created

File Details

Depositor
G.T. Hudson
Date Uploaded
Date Modified
3 May 2022, 13:05:12
Audit Status
Audits have not yet been run on this file.
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Characterization
File format: plain (Plain text)
Mime type: text/plain
File size: 8629111395
Filename: hotpot_annotated_train.json
Original checksum: f9a4c64b5e96bde98d049279f77db5da
Well formed: true
Valid: true
Character set: US-ASCII
Activity of users you follow
User Activity Date
User N. Syrotiuk has updated Hotpot Annotated - train [dataset] 11 months ago
User G.T. Hudson has updated Hotpot Annotated - train [dataset] 11 months ago
User G.T. Hudson has updated hotpot_annotated_train.json [dataset] 11 months ago
User G.T. Hudson has deposited hotpot_annotated_train.json 11 months ago