metadata

dataset_info:
  features:
    - name: id
      dtype: int64
    - name: description
      dtype: string
    - name: anamnesis
      dtype: string
    - name: problems_annotated
      dtype: string
    - name: problems_possible_annotated
      dtype: string
    - name: solution
      dtype: string
    - name: solutions_annotated
      dtype: string
    - name: solutions_possible_annotated
      dtype: string
    - name: outcome
      dtype: string
    - name: implications_annotated
      dtype: string
    - name: implications_possible_annotated
      dtype: string
    - name: age, school year
      dtype: string
    - name: hobbies
      dtype: string
    - name: diagnoses
      dtype: string
    - name: disorders
      dtype: string
    - name: approbation
      dtype: string
    - name: practice_years
      dtype: string
    - name: description_cs
      dtype: string
    - name: anamnesis_cs
      dtype: string
    - name: solution_cs
      dtype: string
    - name: outcome_cs
      dtype: string
    - name: annotator_id
      dtype: string
  splits:
    - name: train
      num_bytes: 10289697
      num_examples: 1695
  download_size: 5371693
  dataset_size: 10289697
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
task_categories:
  - text-classification
language:
  - en
  - cs
pretty_name: Edustories

Dataset Card for Edustories dataset

This repository contains data available in the Edustories.cz platform. The data contains structured descriptions of situations from classses documented by candidate teachers. Each of the entries, also called casuistics, is structured into a description of the background, anamnesis describing the situation, a solution describing the intervention of the teacher in the situation, and outcome describing the final state of the intervetion.

Each of the entries was semi-automatically parsed from the original, free-text journal and associated with additional information from our database. All the entries were anonymised.

In addition, our annotators manually associated each entry with a set of multiple categories that best fit the described situation, intervention and outcome.

The dataset contains the following attributes:

id as an identifier of the entry. Selected entries have duplicate annotations, allowing to evaluate cross-annotator agreements
Story: description, anamnesis, solution and outcome that describe the situation, intervention and its outcome in a free text
Annotated labels: problems_annotated, solutions_annotated, implications_annotated associating each problem, solution and outcome into a set of pre-defined categories.
Uncertain labels: problems_possible_annotated, solutions_possible_annotated, implications_possible_annotated containing assignments to the same, categories but where the annotators were not sure of the correctness of their assignment.
Student attributes (currently in CS): age, school year, hobbies, diagnoses, disorders detailing the profile of the student(s) acting in the entry
Teacher attributes (currently in CS): approbation and practice_years of the teacher acting in the entry
Story in Czech: description_cs, anamnesis_cs, solution_cs and outcome_cs containing structured parts of the story in the original, Czech language.

Note that this dataset is a work-in-progress: It contains some missing entries that will be filled in the next annotation round(s). We plan to extend the dataset with more entries. If requested by our users, we will also consider translating Czech-specific (Student and Teacher) attributes to English.

Please feel free to leave a comment in the Community section in case you have any questions or suggestions.

This dataset is curated and maintained by Jan Nehyba, Jiřina Karasová and Michal Štefánik from Masaryk University.