---
language:
  - "no"
  - sv
  - da
  - en
  - es
  - pt
  - fr
  - de
  - fi
license: apache-2.0
task_categories:
  - text-generation
tags:
  - job-search
  - career-advice
  - cover-letter
  - interview-preparation
  - nordic-job-market
  - fine-tuning
  - chat
size_categories:
  - 1K<n<10K
---

# AI Job Searcher Training Data

Fine-tuning dataset for a career advisor AI specializing in **Nordic and European job markets**.

## Dataset Description

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.

### Task Categories

| Category | Examples | Description |
|---|---|---|
| **Cover Letter Generation** | 208 | Professional cover letters from job description + user profile |
| **Job Listing Analysis** | 208 | Structured analysis of job postings (skills, salary, match score) |
| **Interview Preparation** | 208 | 7-8 interview questions with STAR-format behavioral + technical answers |
| **Job Search Optimization** | 208 | Optimized search keywords for Nordic job portals |
| **CV Bullet Points** | 208 | Polished, achievement-oriented bullet points from raw descriptions |

### Languages

| Language | Code | Examples |
|---|---|---|
| English | en | 150 |
| Norwegian | no | 140 |
| Swedish | sv | 130 |
| Danish | da | 120 |
| German | de | 110 |
| Spanish | es | 100 |
| French | fr | 100 |
| Finnish | fi | 100 |
| Portuguese | pt | 90 |

### Industries Covered

IT/Technology, Healthcare, Engineering, Finance, Education, Hospitality

### Format

Each example follows the OpenAI/HuggingFace chat format:

```json
{
  "messages": [
    {"role": "system", "content": "You are a professional career advisor..."},
    {"role": "user", "content": "Job: Software Engineer at Equinor..."},
    {"role": "assistant", "content": "Dear Hiring Manager..."}
  ]
}
```

### System Prompt

> 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.

## Files

- `train_combined.jsonl` — All 1,040 examples combined
- `train_{lang}.jsonl` — Per-language splits (no, sv, da, en, es, pt, fr, de, fi)

## Usage

### With Hugging Face `datasets`

```python
from datasets import load_dataset

# Load all data
dataset = load_dataset("ai-colombia/ai-job-searcher-training-data", data_files="train_combined.jsonl")

# Load specific language
dataset_no = load_dataset("ai-colombia/ai-job-searcher-training-data", data_files="train_no.jsonl")
```

### For OpenAI Fine-tuning

```bash
openai api fine_tuning.jobs.create -m gpt-4o-mini -t train_combined.jsonl
```

## Realistic Nordic Content

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.

## License

Apache 2.0