sentences: Sentences for Machine Learning (data)
In poldham/kenlitr: Scientific Literature on Kenya
Description
Usage
Format
Details
Description
A dataset of 11,124,944 sentences from the texts data for use in
machine learning with libraries such as spaCy.
Usage
1
data("sentences")
Format
doc_idcharacter
textcharacter
places_rootlogical
Details
The titles and abstracts from the texts dataset divided into
sentences. For use with spaCy in Python convert places_root column to
"answer" and replace TRUE with "accept" and FALSE with "reject". Then write
to file with jsonlite::stream_out(sentences, file("sentences.jsonl")). The jsonl file
can then be loaded directly into spaCy.
poldham/kenlitr documentation built on Nov. 5, 2019, 12:59 a.m.
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Description Usage Format Details
Description
A dataset of 11,124,944 sentences from the texts data for use in machine learning with libraries such as spaCy.
Usage
1 | data("sentences")
|
Format
doc_idcharacter
textcharacter
places_rootlogical
Details
The titles and abstracts from the texts dataset divided into sentences. For use with spaCy in Python convert places_root column to "answer" and replace TRUE with "accept" and FALSE with "reject". Then write to file with jsonlite::stream_out(sentences, file("sentences.jsonl")). The jsonl file can then be loaded directly into spaCy.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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