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Datasets:
stackscan
/
lets-encrypt

Tasks:
Tabular Classification
Tabular Regression
Modalities:
Tabular
Text
Formats:
csv
Languages:
English
Size:
10K - 100K
Tags:
cybersecurity
web-technologies
technographics
ssl
tls
lets-encrypt
DOI:
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
xet
 Community
stackscan commited on
Commit
c72acd3
·
verified ·
1 Parent(s): 9c26e44

Declare explicit column types so sparse columns stop breaking parquet conversion

Browse files
Files changed (1) hide show
  1. README.md +108 -0
README.md CHANGED
@@ -19,6 +19,114 @@ language:
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  - en
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  size_categories:
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  - 10K<n<100K
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  configs:
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  - config_name: default
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  data_files:
 
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  - en
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  size_categories:
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  - 10K<n<100K
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+ dataset_info:
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+ - config_name: default
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+ features:
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+ - name: Popularity Rank
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+ dtype: int64
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+ - name: Domain
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+ dtype: string
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+ - name: Company Name
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+ dtype: string
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+ - name: Company Size
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+ dtype: string
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+ - name: Year Founded
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+ dtype: float64
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+ - name: Industry
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+ dtype: string
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+ - name: LinkedIn URL
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+ dtype: string
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+ - name: Locality
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+ dtype: string
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+ - name: Country
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+ dtype: string
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+ - name: TLD
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+ dtype: string
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+ - name: Language
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+ dtype: string
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+ - name: Instagram
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+ dtype: string
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+ - name: Twitter
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+ dtype: string
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+ - name: YouTube
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+ dtype: string
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+ - name: TikTok
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+ dtype: string
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+ splits:
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+ - name: train
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+ num_examples: 5050
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+ - config_name: all-adopters
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+ features:
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+ - name: Popularity Rank
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+ dtype: int64
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+ - name: Domain
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+ dtype: string
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+ - name: Company Name
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+ dtype: string
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+ - name: Company Size
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+ dtype: string
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+ - name: Year Founded
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+ dtype: float64
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+ - name: Industry
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+ dtype: string
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+ - name: LinkedIn URL
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+ dtype: string
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+ - name: Locality
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+ dtype: string
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+ - name: Country
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+ dtype: string
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+ - name: TLD
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+ dtype: string
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+ - name: Language
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+ dtype: string
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+ - name: Instagram
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+ dtype: string
84
+ - name: Twitter
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+ dtype: string
86
+ - name: YouTube
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+ dtype: string
88
+ - name: TikTok
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+ dtype: string
90
+ splits:
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+ - name: train
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+ num_examples: 14697
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+ - config_name: commercial-ca-comparison
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+ features:
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+ - name: Popularity Rank
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+ dtype: int64
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+ - name: Domain
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+ dtype: string
99
+ - name: Company Name
100
+ dtype: string
101
+ - name: Company Size
102
+ dtype: string
103
+ - name: Year Founded
104
+ dtype: float64
105
+ - name: Industry
106
+ dtype: string
107
+ - name: LinkedIn URL
108
+ dtype: string
109
+ - name: Locality
110
+ dtype: string
111
+ - name: Country
112
+ dtype: string
113
+ - name: TLD
114
+ dtype: string
115
+ - name: Language
116
+ dtype: string
117
+ - name: Instagram
118
+ dtype: string
119
+ - name: Twitter
120
+ dtype: string
121
+ - name: YouTube
122
+ dtype: string
123
+ - name: TikTok
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+ dtype: string
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+ - name: Certificate Authority
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+ dtype: string
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+ splits:
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+ - name: train
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+ num_examples: 10938
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  configs:
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  - config_name: default
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  data_files: