Datasets:
file_name stringlengths 30 60 | correct_answer stringclasses 15
values | year stringclasses 50
values | type stringclasses 4
values | name stringclasses 156
values | needs_image_context bool 2
classes | image unknown |
|---|---|---|---|---|---|---|
images/zawodowe_2015_czerwiec_R.03.pdf_11_A.jpg | A | 2015_czerwiec | Egzaminy Zawodowe | R.03 | true | [
255,
216,
255,
224,
0,
16,
74,
70,
73,
70,
0,
1,
1,
0,
0,
1,
0,
1,
0,
0,
255,
219,
0,
67,
0,
8,
6,
6,
7,
6,
5,
8,
7,
7,
7,
9,
9,
8,
10,
12,
20,
13,
12,
11,
11,
12,
25,
18,
19,
15,
20,
29,
26,
31,
30,
29,
... |
images/zawodowe_2018_styczeń_R.08.pdf_4_B.jpg | B | 2018_styczeń | Egzaminy Zawodowe | R.08 | true | "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED) |
images/zawodowe_2019_styczeń_M.10.pdf_16_B.jpg | B | 2019_styczeń | Egzaminy Zawodowe | M.10 | true | "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED) |
images/zawodowe_2016_styczeń_M.42.pdf_13_B.jpg | B | 2016_styczeń | Egzaminy Zawodowe | M.42 | false | "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED) |
images/zawodowe_2022_styczeń_MG.10.pdf_19_A.jpg | A | 2022_styczeń | Egzaminy Zawodowe | MG.10 | true | "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED) |
images/zawodowe_2019_czerwiec_M.16.pdf_39_B.jpg | B | 2019_czerwiec | Egzaminy Zawodowe | M.16 | true | "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED) |
images/zawodowe_2015_czerwiec_R.04.pdf_31_B.jpg | B | 2015_czerwiec | Egzaminy Zawodowe | R.04 | false | "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED) |
images/zawodowe_2019_czerwiec_M.04.pdf_25_A.jpg | A | 2019_czerwiec | Egzaminy Zawodowe | M.04 | true | "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED) |
images/zawodowe_2020_czerwiec_MG.33.pdf_39_D.jpg | D | 2020_czerwiec | Egzaminy Zawodowe | MG.33 | true | "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED) |
images/zawodowe_2018_czerwiec_R.17.pdf_28_C.jpg | C | 2018_czerwiec | Egzaminy Zawodowe | R.17 | false | "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED) |
Dataset description
This dataset was presented and described further on FedCSIS 2025 conference and the full paper can be found here: https://annals-csis.org/proceedings/2025/pliks/2608.pdf
The dataset is a collection of image-based questions sourced from Polish National Exams. Each question is represnted in the form of an image with only one correct answer. The questions distribution is described in the table below:
| Exam | Discipline | Questions |
|---|---|---|
| 8th-Grade Exam | Polish Language | 9 |
| 8th-Grade Exam | Mathematics | 46 |
| Middle School Exam | Mathematics and Nature | 152 |
| Middle School Exam | Mathematics | 96 |
| Middle School Exam | Nature | 79 |
| High School Exam | Biology | 21 |
| High School Exam | Physics | 154 |
| High School Exam | Mathematics | 280 |
| Professional Exam | Arts | 2547 |
| Professional Exam | Mechanical, Mining and Metallurgical | 21057 |
| Professional Exam | Agriculture and Forestry | 14905 |
Manual verification revealed that 122 of the 1,000 images were misclassified in needs_image_context question metadata, with the vast majority being false positives (120 out of 122). While this level of error is acceptable for exploratory analysis and broad grouping, it is not sufficiently accurate for training downstream models. We therefore emphasize that findings based on this stratification are preliminary and should not be overinterpreted without more precise annotation.
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