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Table · dataset · 2022

IappWikiQaSquad

Listed in Hugging Face Datasets

Description

iapp_wiki_qa_squad Extractive question answering over Thai Wikipedia articles, in SQuAD format. 7,242 questions across 1,912 articles, annotated by people iApp hired for the purpose. from datasets import load_dataset dataset = load_dataset("iapp/iapp_wiki_qa_squad") This works again as of the August 2026 revision. Until then it did not. The repository carried a loading script and no data, and datasets dropped script support at v3, so load_dataset failed and every… See the full description on the dataset page: huggingface.co/datasets/iapp/iapp_wiki_qa_squad.

Links

Where it is published

Catalogue records · 1

Topics

Stated by source
question answering · text
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsiapp/iapp_wiki_qa_squad12 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[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