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Table · dataset · 2022

MSMARCO NLGEN

Listed in Hugging Face Datasets

Dataset Card for MSMARCO - Natural Language Generation Task Dataset

Description

Summary

The original focus of MSMARCO was to provide a corpus for training and testing systems which given a real domain user query systems would then provide the most likley candidate answer and do so in language which was natural and conversational. All questions have been generated from real anonymized Bing user queries which grounds the dataset in a real world problem and can provide researchers real… See the full description on the dataset page: huggingface.co/datasets/din0s/msmarco-nlgen.

Links

Where it is published

Documentation and papers

Catalogue records · 1

Topics

Stated by source
question answering · text
Inferred from text
Artificial intelligence 72%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsdin0s/msmarco-nlgen15 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].anzsrc:group:4602enrichment · Hugging Facetaxonomy-embedding@1.1.0title+keywords+description (72%)
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
concepts[task].hf_task:question-answeringsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0