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README.md
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---
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language:
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- "no"
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- sv
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- da
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- en
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- es
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- pt
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- fr
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- de
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- fi
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license: apache-2.0
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task_categories:
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- text-generation
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tags:
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- job-search
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- career-advice
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- cover-letter
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- interview-preparation
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- nordic-job-market
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- fine-tuning
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- chat
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size_categories:
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- 1K<n<10K
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---
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# AI Job Searcher Training Data
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Fine-tuning dataset for a career advisor AI specializing in **Nordic and European job markets**.
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## Dataset Description
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This dataset contains **1,040 training examples** across **9 languages** and **5 task categories**, formatted as chat conversations (system/user/assistant) suitable for fine-tuning LLMs.
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### Task Categories
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| Category | Examples | Description |
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|---|---|---|
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| **Cover Letter Generation** | 208 | Professional cover letters from job description + user profile |
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| **Job Listing Analysis** | 208 | Structured analysis of job postings (skills, salary, match score) |
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| **Interview Preparation** | 208 | 7-8 interview questions with STAR-format behavioral + technical answers |
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| **Job Search Optimization** | 208 | Optimized search keywords for Nordic job portals |
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| **CV Bullet Points** | 208 | Polished, achievement-oriented bullet points from raw descriptions |
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### Languages
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| Language | Code | Examples |
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|---|---|---|
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| English | en | 150 |
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| Norwegian | no | 140 |
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| Swedish | sv | 130 |
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| Danish | da | 120 |
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| German | de | 110 |
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| Spanish | es | 100 |
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| French | fr | 100 |
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| Finnish | fi | 100 |
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| Portuguese | pt | 90 |
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### Industries Covered
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IT/Technology, Healthcare, Engineering, Finance, Education, Hospitality
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### Format
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Each example follows the OpenAI/HuggingFace chat format:
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```json
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{
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"messages": [
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{"role": "system", "content": "You are a professional career advisor..."},
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{"role": "user", "content": "Job: Software Engineer at Equinor..."},
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{"role": "assistant", "content": "Dear Hiring Manager..."}
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]
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}
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```
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### System Prompt
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> You are a professional career advisor specializing in Nordic and European job markets. You help job seekers with cover letters, job analysis, interview preparation, and career guidance. Respond in the same language as the user's query.
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## Files
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- `train_combined.jsonl` — All 1,040 examples combined
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- `train_{lang}.jsonl` — Per-language splits (no, sv, da, en, es, pt, fr, de, fi)
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## Usage
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### With Hugging Face `datasets`
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```python
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from datasets import load_dataset
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# Load all data
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dataset = load_dataset("ai-colombia/ai-job-searcher-training-data", data_files="train_combined.jsonl")
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# Load specific language
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dataset_no = load_dataset("ai-colombia/ai-job-searcher-training-data", data_files="train_no.jsonl")
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```
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### For OpenAI Fine-tuning
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```bash
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openai api fine_tuning.jobs.create -m gpt-4o-mini -t train_combined.jsonl
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```
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## Realistic Nordic Content
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Includes authentic company names (Equinor, Spotify, Novo Nordisk, Nokia, etc.), job titles, cities, salary ranges, and job portals (Finn.no, Platsbanken, Jobnet, Duunitori, NAV) across Nordic countries.
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## License
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Apache 2.0
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