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| MuLD: The Multitask Long Document Benchmark [dataset] |
Hotpot Annotated - valid [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/r21j92g751c
- Rights
- MIT Licence (MIT)
- Publisher
-
Durham University
- Date Created
File Details
- Depositor
- G.T. Hudson
- Date Uploaded
- 26 April 2022, 15:04:45
- Date Modified
- 3 May 2022, 13:05:22
- Audit Status
- Audits have not yet been run on this file.
- Related Files
- hotpot_annotated_train.json
- narrativeqa_train.json.bz2
- vlsp_test.json.bz2
- style_change_validation.json.bz2
- 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: plain (Plain text)
Mime type: text/plain
File size: 699516701
Filename: hotpot_annotated_valid.json
Original checksum: 6ef753c124dd3bf6b910d74f9e107e7a
Well formed: true
Valid: true
Character set: US-ASCII
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