Update README.md

README.md

@@ -76,20 +76,24 @@ 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.
 
+## Dataset format
+
 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.
+* **Identifier** `id`. Selected entries have duplicate annotations, allowing to evaluate cross-annotator agreements
+* **Structured 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
+* **Structured story in Czech**: `description_cs`, `anamnesis_cs`, `solution_cs` and `outcome_cs` containing structured parts of the story in the original, Czech language.
+
+## Notes
 
-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. 
+This dataset is a work-in-progress: Currently, it contains a small portion of missing entries that will be filled in the next annotation round(s). 
+As our databases of teaching stories grows, we plan to extend the dataset with more, likely unlabeled stories. 
 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.
+This dataset is curated and maintained by [Jan Nehyba](https://www.muni.cz/en/people/106930-jan-nehyba), [Jiřina Karasová](https://www.muni.cz/en/people/514894-jirina-karasova) and [Michal Štefánik](https://michal-stefanik.github.io/) from Masaryk University.