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Swedish skolprov documentation

This repository contains data from six Swedish knowledge tests. The data is in the form of multiple-choice questions and answers. The data is stored in CSV files.

The following tests are in the data:

  • högskoleprovet (Swedish Scholastic Aptitude Test)
  • kunskapsprov läkare (medical doctor test)
  • kunskapsprov tandläkare (dentist test)
  • kunskapsprov audionom
  • kunskapsprov apotekare
  • matematik och fysikprovet (math and highschool test)
from datasets import load_dataset

ds = load_dataset("Ekgren/swedish_skolprov", "all")

Description of the data

field name description
test_id id or name of the test
section name of section of the test
subsection name of subsection of the test
question_id numerical id for question related to test
question_resource if it exists reading material related to question
question question
option_a answer alternative to question
option_b answer alternative to question
option_c answer alternative to question
option_d answer alternative to question
option_e answer alternative to question
system_prompt system prompt for answering questions
prompt pre-formatted prompt with background, question_resource, question and answer alternatives
answer the correct answer to the question in the format of a,b,c,d,e or A,B,C,D,E
question_points the points assigned to a question
uid a unique id constructed from some combination of test_id, section, subsection and question_id

Small leaderboard

In the table below are the results on the tests for a small selection of models. The tests evaluate the ability to understand and answer questions in Swedish as well as specific knowledge with respect to subdomains.

rank model_name total hp matematik_och_fysikprovet läkare tandläkare audionom apotekare open_weights
1. openai/o3-mini 0.85 1.9 0.77 0.89 0.80 0.82 0.96
2. anthropic/claude-3.7-sonnet 0.84 2.0 0.62 0.88 0.87 0.85 1.00
3. openai/gpt-4o 0.82 2.0 0.51 0.89 0.87 0.89 0.98
4. google/gemini-2.0-flash-001 0.82 2.0 0.63 0.87 0.81 0.81 0.96
5. meta-llama/llama-3.1-405b-instruct 0.81 2.0 0.55 0.91 0.76 0.82 0.96
6. deepseek/deepseek-V3 0.80 2.0 0.60 0.83 0.71 0.89 0.94
7. x-ai/grok-2-1212 0.80 2.0 0.50 0.88 0.80 0.82 0.98
8. meta-llama/llama-3.3-70b-instruct 0.78 1.9 0.53 0.82 0.77 0.82 0.94
9. qwen/qwen-max 0.77 1.7 0.60 0.84 0.66 0.78 0.92
10. cohere/command-a 0.72 1.8 0.48 0.78 0.70 0.72 0.89
11. mistralai/mistral-small-3.1-24b-instruct 0.71 1.6 0.50 0.78 0.61 0.76 0.91
12. google/gemma-3-27b-it 0.67 1.8 0.50 0.64 0.69 0.72 0.70
13. allenai/olmo-2-0325-32b-instruct 0.57 1.3 0.36 0.63 0.50 0.53 0.77
14. meta-llama/llama-3.2-3b-instruct 0.36 0.7 0.19 0.46 0.41 0.31 0.38

The tests

Högskoleprovet

Matematik- och fysikprovet

Kunskapsprov läkare

Kunskapsprov tandläkare

Kunskapsprov farmaceuter

Kunskapsprov audionomer

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