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Data · dataset · 2022

Synthetic QA dataset.

Listed in Hugging Face Datasets

Dataset Card for "lmqg/qa_harvesting_from_wikipedia_pseudo" Dataset

Description

Summary

This is a synthetic QA dataset generated with fine-tuned QG models over lmqg/qa_harvesting_from_wikipedia, 1 million paragraph and answer pairs collected in Du and Cardie, 2018, made for question-answering based evaluation (QAE) for question generation model proposed by Zhang and Bansal, 2019. The train split is the synthetic data and the validation split is the original validation set of SQuAD… See the full description on the dataset page: huggingface.co/datasets/lmqg/qa_harvesting_from_wikipedia_pseudo.

Links

Documentation and papers

Catalogue records · 1

Topics

Stated by source
question answering
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetslmqg/qa_harvesting_from_wikipedia_pseudo12 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[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