Datasets:
File size: 1,722 Bytes
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task_categories:
- visual-question-answering
language:
- de
tags:
- vera
- math
- vlm
- school
pretty_name: SEGData (Standardised Educational German Data)
size_categories:
- n<1K
dataset_info:
features:
- name: image
dtype: image
- name: description
dtype: string
- name: text
dtype: string
- name: answers
list: string
- name: gold_answer
dtype: string
- name: id
dtype: string
- name: question_type
dtype: string
- name: class
dtype: string
- name: added_multiplechoice
dtype: bool
- name: source
dtype: string
splits:
- name: train
num_bytes: 27789550
num_examples: 395
download_size: 27681251
dataset_size: 27789550
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# SEGData (Standardised Educational German Data)
The original data is designed by the _Institut zur Qualitätsentwicklung im Bildungswesen_ to test German school children in classes 3, 8 and 12.
It is freely accessible at their [website](https://www.iqb.hu-berlin.de/de/schule/aufgaben/).
The licence is specific to the task and image.
Most are accessible under the CC BY licence.
See the _source_ column for more information.
# Dataset preprocessing
Only a subset of the available data from the original test is used for this dataset.
First, only tasks of classes 3 and 8 were chosen and only the category "Testaufgaben".
All tasks were removed that
* contain no image
* could be solved without an image
* requires image generation for solving the task
All tasks were transformed into a multiple-choice format. For cloze tests and reasoning tasks, answering options were generated and their order was randomized.
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