Hugging Face's logo

Datasets:
datapizza-ai-lab
/
salaries

Modalities:
Tabular
Text
Formats:
json
Languages:
Italian
Size:
10K - 100K
Tags:
salaries
italy
tech
survey
compensation
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
xet
Community
3
lab-ai-datapizza commited on
Commit
f5565f3
·
verified ·
1 Parent(s): 35d7aac

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +2 -2
README.md CHANGED
@@ -30,7 +30,7 @@ dataset_info:
30
  - name: technologies
31
  sequence: string
32
  - name: salary
33
- dtype: int64
34
  - name: age
35
  dtype: int64 # nullable
36
  - name: gender
@@ -77,7 +77,7 @@ This dataset contains self-reported salary and professional information from tec
77
  | `province` | string | Italian province |
78
  | `workMode` | string | Work arrangement |
79
  | `technologies` | list[string] | Primary technologies/skills used |
80
- | `salary` | int | RAL (Gross Annual Salary) in EUR |
81
  | `age` | int | Respondent age (optional) |
82
  | `gender` | string | Gender (optional) |
83
  | `aiUsageFrequency` | int | AI usage frequency 1-5 (optional) |
 
30
  - name: technologies
31
  sequence: string
32
  - name: salary
33
+ dtype: float64
34
  - name: age
35
  dtype: int64 # nullable
36
  - name: gender
 
77
  | `province` | string | Italian province |
78
  | `workMode` | string | Work arrangement |
79
  | `technologies` | list[string] | Primary technologies/skills used |
80
+ | `salary` | float | RAL (Gross Annual Salary) in EUR |
81
  | `age` | int | Respondent age (optional) |
82
  | `gender` | string | Gender (optional) |
83
  | `aiUsageFrequency` | int | AI usage frequency 1-5 (optional) |