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Data · dataset · 2022

WikiBio

Listed in Hugging Face Datasets

This dataset gathers 728,321 biographies from wikipedia.

Description

It aims at evaluating text generation algorithms. For each article, we provide the first paragraph and the infobox (both tokenized).

For each article, we extracted the first paragraph (text), the infobox (structured data). Each infobox is encoded as a list of (field name, field value) pairs. We used Stanford CoreNLP (stanfordnlp.github.io/CoreNLP/) to preprocess the data, i.e. we broke the text into sentences and tokenized both the text and the field values.

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The dataset was randomly split in three subsets train (80%), valid (10%), test (10%).

Links

Where it is published

Documentation and papers

Catalogue records · 1

Topics

Stated by source
table to text
Inferred from text
Library and information studies 68% · Text 75%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsmichaelauli/wiki_bio12 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].anzsrc:group:4610enrichment · Hugging Facetaxonomy-embedding@1.1.0title+keywords+description (68%)
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:textenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (75%)
concepts[task].hf_task:table-to-textsource · 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
license_textsource · Hugging Faceconnector:huggingface@1.0.0
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0