[ENH] detection notebook - move data loading for examples to functions in the `datasets` module · sktime/sktime#7286

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enhancementgood first issuemodule:datasets&loadersmodule:detection

Métriques du dépôt

In the detection notebook 7 (added in https://github.com/sktime/sktime/pull/7284), @alex-jg3 has used a couple common toy data sets to demonstrate the detectors.

The data is loaded manually, but it would be nice to have a load_datasetname function for each, and proper documentation.

As a recipe:

look at every block in the notebook 7, where a csv is loaded
try to turn this into a function load_dataname(param1, param2). Possibly with a return_mtype argument that allows the user to specify the format, using convert from datatypes, but this is optional.
obtain the description of the dataset from this readme https://github.com/sktime/sktime-tutorial-ODSC-Europe-2024/blob/main/data/README.md and include it in the docstring
put the function in the appropriate location in the datasets module

Direction de recherche: Regardez le notebook de detection 7, identifiez chaque bloc de chargement CSV, creez une fonction pour chaque jeu de donnees avec des parametres et une option return mtype, ajoutez la docstring du README des donnees et placez la fonction a l'emplacement approprie dans le module datasets.
Stack technique: python
Domaine: data
Type d'issue: Fonctionnalité
Difficulté: 2
Temps estimé: 1-3 heures
Statut d'activité: Active
Clarté: Plutôt claire
Prérequis: PythonGit
Accessibilité débutant: 75