Duplicate from datapizza-ai-lab/salaries

Co-authored-by: Lab AI Datapizza <[email protected]>

.gitattributes

@@ -0,0 +1,60 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.lz4 filter=lfs diff=lfs merge=lfs -text
+*.mds filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
+*.aac filter=lfs diff=lfs merge=lfs -text
+*.flac filter=lfs diff=lfs merge=lfs -text
+*.mp3 filter=lfs diff=lfs merge=lfs -text
+*.ogg filter=lfs diff=lfs merge=lfs -text
+*.wav filter=lfs diff=lfs merge=lfs -text
+# Image files - uncompressed
+*.bmp filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.tiff filter=lfs diff=lfs merge=lfs -text
+# Image files - compressed
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.jpeg filter=lfs diff=lfs merge=lfs -text
+*.webp filter=lfs diff=lfs merge=lfs -text
+# Video files - compressed
+*.mp4 filter=lfs diff=lfs merge=lfs -text
+*.webm filter=lfs diff=lfs merge=lfs -text
+data/submissions.jsonl filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,153 @@
+---
+license: cc-by-nc-4.0
+language:
+- it
+tags:
+- salaries
+- italy
+- tech
+- survey
+- compensation
+pretty_name: Datapizza Salaries
+size_categories:
+- 10K<n<100K
+dataset_info:
+  features:
+    - name: jobTitle
+      dtype: string
+    - name: monthsOfExperience
+      dtype: int64
+    - name: educationType
+      dtype: string  # nullable
+    - name: companyIndustry
+      dtype: string  # nullable
+    - name: companySize
+      dtype: string  # nullable
+    - name: province
+      dtype: string
+    - name: workMode
+      dtype: string
+    - name: technologies
+      sequence: string
+    - name: salary
+      dtype: float64
+    - name: age
+      dtype: int64  # nullable
+    - name: gender
+      dtype: string  # nullable
+    - name: aiUsageFrequency
+      dtype: int64  # nullable
+    - name: aiTechnologies
+      sequence: string  # nullable
+    - name: aiTaskTypes
+      sequence: string  # nullable
+    - name: aiUpdateSources
+      sequence: string  # nullable
+    - name: admiredTechnologies
+      sequence: string  # nullable
+    - name: editor
+      dtype: string  # nullable
+    - name: rating
+      dtype: int64  # nullable
+    - name: valid
+      dtype: bool
+    - name: submittedAt
+      dtype: string
+---
+
+# Datapizza Salaries
+
+A crowd-sourced dataset of salaries from tech workers in Italy, collected via anonymous survey by [Datapizza](https://salaries.datapizza.tech).
+
+## Dataset Description
+
+This dataset contains self-reported salary and professional information from technology workers across Italy. Data is collected through an anonymous survey and updated weekly.
+
+> **Note:** Data submitted before November 6th, 2024 contains only partial information, as the initial survey version did not collect fields like `educationType`, `age`, `aiUsageFrequency`, and others.
+
+## Features
+
+| Field | Type | Description |
+|-------|------|-------------|
+| `jobTitle` | string | Job title (e.g., "software_developer", "data_scientist") |
+| `monthsOfExperience` | int | Professional experience in months |
+| `educationType` | string | Education level (optional) |
+| `companyIndustry` | string | Industry sector (optional) |
+| `companySize` | string | Company headcount range (optional) |
+| `province` | string | Italian province |
+| `workMode` | string | Work arrangement |
+| `technologies` | list[string] | Primary technologies/skills used |
+| `salary` | float | RAL (Gross Annual Salary) in EUR |
+| `age` | int | Respondent age (optional) |
+| `gender` | string | Gender (optional) |
+| `aiUsageFrequency` | int | AI usage frequency 1-5 (optional) |
+| `aiTechnologies` | list[string] | AI tools used (optional) |
+| `aiTaskTypes` | list[string] | AI task types (optional) |
+| `aiUpdateSources` | list[string] | AI news sources (optional) |
+| `admiredTechnologies` | list[string] | Technologies respondent wants to learn (optional) |
+| `editor` | string | Primary code editor/IDE (optional) |
+| `rating` | int | Survey feedback rating 1-5 (optional) |
+| `valid` | bool | Submission validation flag |
+| `submittedAt` | string | Submission timestamp (ISO 8601) |
+
+## Categorical Values
+
+### educationType
+`high_school`, `bachelors_degree`, `masters_degree`, `phd`
+
+### companySize
+`1-10`, `11-50`, `51-200`, `201-500`, `501-1000`, `1001-5000`, `5001+`
+
+### workMode
+`onsite`, `hybrid`, `remote`
+
+### gender
+`male`, `female`, `non_binary`, `prefer_not_to_say`
+
+### companyIndustry
+`bancario`, `assicurativo`, `finanziario_altro`, `consulenza_servizi_professionali`, `tecnologia_ict`, `retail_gdo`, `moda_lusso`, `manifattura_generica`, `automotive`, `chimica_materiali`, `energia_utilities`, `telecomunicazioni`, `sanita_pharma_biotech`, `media_intrattenimento_editoria`, `logistica_trasporti`, `immobiliare_costruzioni`, `alimentare_beverage`, `agricoltura_agroindustria`, `turismo_ospitalita`, `istruzione_ricerca`, `non_profit_ong_associazioni`, `difesa_aerospazio`, `pubblica_amministrazione_enti_governativi`, `altro_indeterminato`
+
+### aiTechnologies
+`chat_gpt`, `claude`, `cursor`, `claude_code`, `gemini`, `microsoft_copilot`, `github_copilot`, `codeium`, `tabnine`, `amazon_code_whisperer`, `jetbrains_ai`, `perplexity`, `mistral_ai`, `llama`, `v0`, `windsurf`, `cody`, `supermaven`, `continue_dev`, `devin`, `replit_ai`, `bolt`
+
+### aiTaskTypes
+`coding`, `study_tutoring`, `doc_analysis`, `data_excel`, `editing`, `brainstorming`, `image_generation`, `translation`, `search_research`, `planning`, `meeting_notes`
+
+### aiUpdateSources
+`x_twitter`, `newsletter`, `reddit`, `hugging_face`, `hacker_news`, `youtube`, `linkedin`, `podcasts`, `discord`, `github`, `official_blogs`
+
+### editor
+`vscode`, `cursor`, `neovim`, `vim`, `zed`, `intellij_idea`, `webstorm`, `pycharm`, `sublime_text`, `emacs`, `atom`, `eclipse`, `visual_studio`, `android_studio`, `xcode`, `windsurf`, `rider`, `fleet`, `phpstorm`, `goland`, `rubymine`, `clion`, `notepad_plus_plus`, `helix`
+
+## Usage
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("datapizza-ai-lab/salaries")
+df = dataset["train"].to_pandas()
+
+# Filter for remote workers in Milan
+remote_milan = df[(df["province"] == "Milano") & (df["workMode"] == "remote")]
+
+# Average salary by job title
+avg_by_role = df.groupby("jobTitle")["salary"].mean().sort_values(ascending=False)
+```
+
+## Source
+
+Data collected via [salaries.datapizza.tech](https://salaries.datapizza.tech) — an anonymous salary survey for Italian tech workers.
+
+## License
+
+**CC-BY-NC-4.0** — You may share and adapt this dataset with attribution for non-commercial purposes.
+
+## Citation
+```bibtex
+@dataset{datapizza_salaries_2024,
+  title={Datapizza Salaries: Italian Tech Worker Compensation Dataset},
+  author={Datapizza},
+  year={2024},
+  url={https://huggingface.co/datasets/datapizza-ai-lab/salaries},
+  license={CC-BY-NC-4.0}
+}
+```

data/submissions.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3798131f1abc452fabf628878a71f091bbe76fb853ae6a620b43a80ded3f953b
+size 11602538