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Table · dataset · 2022

iarfmoose/question_generator

Listed in Hugging Face Datasets

This dataset is made up of data taken from SQuAD v2.0, RACE, CoQA, and MSMARCO.

Description

Some examples have been filtered out of the original datasets and others have been modified. There are two fields; question and text.

The question field contains the question, and the text field contains both the answer and the context in the following format: "<answer> (answer text) <context> (context text)" The and are included as special tokens in the question generator's tokenizer. This dataset is intended to… See the full description on the dataset page: huggingface.co/datasets/iarfmoose/question_generator.

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Catalogue records · 1

Topics

Stated by source
text
Inferred from text
Text 75%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsiarfmoose/question_generator15 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
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[modality].local:modality:textenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (75%)
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0