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@@ -56,4 +56,40 @@ configs:
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  data_files:
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  - split: train
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  path: data/train-*
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  data_files:
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  - split: train
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  path: data/train-*
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+ task_categories:
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+ - text-classification
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+ language:
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+ - en
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+ - cs
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+ pretty_name: Edustories
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  ---
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+
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+ # Dataset Card for Edustories dataset
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+
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+ This repository contains data available in the Edustories.cz platform.
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+ The data contains structured descriptions of situations from classses documented by candidate teachers.
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+ Each of the entries, also called casuistics, is structured into a `description` of the background, `anamnesis` describing the situation,
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+ a `solution` describing the intervention of the teacher in the situation, and `outcome` describing the final state of the intervetion.
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+
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+ Each of the entries was semi-automatically parsed from the original, free-text journal and associated with additional information from our database.
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+ All the entries were anonymised.
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+
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+ In addition, our annotators manually associated each entry with a set of multiple categories that best fit the described situation, intervention and outcome.
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+
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+ The dataset contains the following attributes:
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+
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+ * `id` as an identifier of the entry. Selected entries have duplicate annotations, allowing to evaluate cross-annotator agreements
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+ * Story: `description`, `anamnesis`, `solution` and `outcome` that describe the situation, intervention and its outcome in a free text
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+ * Annotated labels: `problems_annotated`, `solutions_annotated`, `implications_annotated` associating each problem, solution and outcome into a set of pre-defined categories.
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+ * 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.
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+ * Student attributes (currently in CS): `age, school year`, `hobbies`, `diagnoses`, `disorders` detailing the profile of the student(s) acting in the entry
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+ * Teacher attributes (currently in CS): `approbation` and `practice_years` of the teacher acting in the entry
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+ * Story in Czech: `description_cs`, `anamnesis_cs`, `solution_cs` and `outcome_cs` containing structured parts of the story in the original, Czech language.
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+
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+ Note that this dataset is a work-in-progress: It contains some missing entries that will be filled in the next annotation round(s).
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+ We plan to extend the dataset with more entries.
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+ If requested by our users, we will also consider translating Czech-specific (Student and Teacher) attributes to English.
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+ Please feel free to leave a comment in the Community section in case you have any questions or suggestions.
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+ This dataset is curated and maintained by Jan Nehyba, Jiřina Karasová and Michal Štefánik from Masaryk University.