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Table · dataset · 2022

and111/bert_pretrain_phase2

Listed in Hugging Face Datasets

Dataset

Description

Summary

Input data for the second phase of BERT pretraining (sequence length 512). All text is tokenized with bert-base-uncased tokenizer. Data is obtained by concatenating and shuffling wikipedia (split: 20220301.en) and bookcorpusopen datasets and running reference BERT data preprocessor without masking and input duplication (dupe_factor = 1).

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Documents are split into sentences with the NLTK sentence tokenizer (nltk.tokenize.sent_tokenize). See the dataset for the first… See the full description on the dataset page: huggingface.co/datasets/and111/bert_pretrain_phase2.

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Catalogue records · 1

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Inferred from text
Text 75%
Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsand111/bert_pretrain_phase214 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].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