README.md

metadata

language:
  - en
  - cs
license: mit
task_categories:
  - text-classification
pretty_name: Edustories
dataset_info:
  features:
    - name: id
      dtype: int64
    - name: description
      dtype: string
    - name: anamnesis
      dtype: string
    - name: problem_categories
      dtype: string
    - name: problem_possible_categories
      dtype: string
    - name: intervention
      dtype: string
    - name: intervention_categories
      dtype: string
    - name: intervention_possible_categories
      dtype: string
    - name: outcome
      dtype: string
    - name: implication_possible_categories
      dtype: string
    - name: age, school year
      dtype: string
    - name: hobbies
      dtype: string
    - name: diagnoses
      dtype: string
    - name: disorders
      dtype: string
    - name: anamnesis_cs
      dtype: string
    - name: intervention_cs
      dtype: string
    - name: outcome_cs
      dtype: string
    - name: annotator_id
      dtype: int64
    - name: description_cs
      dtype: string
    - name: outcome_categories
      dtype: string
    - name: outcome_possible_categories
      dtype: string
  splits:
    - name: train
      num_bytes: 9225947
      num_examples: 1492
  download_size: 4975724
  dataset_size: 9225947
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

Dataset Card for Edustories dataset

This repository contains the Edustories dataset (under review at ARR).

The data contains structured descriptions of situations from classes documented by candidate teachers. Each entry, also called a casuistic, is structured into a description of the background, anamnesis describing the situation, an intervention describing the intervention of the teacher in the situation, and an outcome describing the final state of the intervention.

Each entry was semi-automatically parsed from the original free-text journal and associated with additional information from our database. All 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.

About the dataset

The dataset comes from student teachers, who collect case studies from their supervising teachers during their teaching practicum. These data are collected through standardized forms that the student teachers complete with their accompanying teachers. The collection of the dataset runs between 2023–2026. All students involved in the collection are informed of the use of the data and have given written consent. Additional case studies will be collected on an ongoing basis from practising teachers who choose to publish their anonymous case studies. All data is subject to multiple stages of anonymisation, so it does not contain any real names of schools, school staff, or students.

Dataset format

The dataset contains the following attributes:

• Identifier: id. Selected entries have duplicate annotations, allowing evaluation of annotation uncertainty.
• Structured story: description, anamnesis, intervention, and outcome, describing the situation, intervention, and its outcome in free text.
• Annotated category labels:
  • problem_categories — category assignments for the described problem(s)
  • intervention_categories — category assignments for the described intervention(s)
  • outcome_categories — category assignments for the described outcome(s)
• Uncertain category labels:
  • problem_possible_categories — possible problem category assignments marked as uncertain by annotators
  • intervention_possible_categories — possible intervention category assignments marked as uncertain by annotators
  • outcome_possible_categories — possible outcome category assignments marked as uncertain by annotators
• Student attributes: age, school year, hobbies, diagnoses, disorders, detailing the profile of the student(s) acting in the entry.
• Teacher attributes: approbation and practice_years of the teacher acting in the entry.
• Original free-text features in Czech: description_cs, anamnesis_cs, intervention_cs, and outcome_cs, containing structured parts of the story in the original Czech language.

Notes

Paper under review.