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Data · dataset · 2023

Dataset with four years of condition monitoring technical language annotations from paper machine industries in northern Sweden

Listed in Researchdata.se

This dataset consists of four years of technical language annotations from two paper machines in northern Sweden, structured as a Pandas dataframe.

Description

The same data is also available as a semicolon-separated .csv file. The data consists of two columns, where the first column corresponds to annotation note contents, and the second column corresponds to annotation titles.

The annotations are in Swedish, and processed so that all mentions of personal information are replaced with the string ‘egennamn’, meaning “personal name” in Swedish. Each row corresponds to one annotation with the corresponding title. Data can be accessed in Python with: import pandas as pd annotations_df = pd.read_pickle("Technical_Language_Annotations.pkl") annotation_contents = annotations_df['noteComment'] annotation_titles = annotations_df['title']

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Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Researchdata.seoai:researchdata.se:2023-257/113 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · researchdata seconnector:researchdata_se@1.0.0
concepts[field].local:field:computer-science-aimapping · researchdata seconnector:researchdata_se@1.0.0
concepts[field].local:field:earth-environmentalmapping · researchdata seconnector:researchdata_se@1.0.0
concepts[field].local:field:humanitiesmapping · researchdata seconnector:researchdata_se@1.0.0
descriptionsource · researchdata seconnector:researchdata_se@1.0.0/metadata/dc/description
licensesource · researchdata seconnector:researchdata_se@1.0.0/metadata/dc/rights
publication_datesource · researchdata seconnector:researchdata_se@1.0.0
spatialsource · researchdata seconnector:researchdata_se@1.0.0
titlesource · researchdata seconnector:researchdata_se@1.0.0/metadata/dc/title