[ENH] Time Series Segmentation Benchmark + Human Activity Segmentation Challenge data loaders

[ermshaua]

What does this implement/fix? Explain your changes.

I added data loaders for the time series segmentation benchmark (TSSB) [1] and human activity segmentation challenge data sets [2].

[1] Arik Ermshaus, Patrick Schäfer, Ulfer Leser: ClaSP: parameter-free
time series segmentation. Data Mining and Knowledge Discovery, 2023,
DOI:10.1007/s10618-023-00923-x.

[2] Arik Ermshaus, Patrick Schäfer, Anthony Bagnall, Thomas Guyet,
Georgiana Ifrim, Vincent Lemaire, Ulf Leser, Colin Leverger,
Simon Malinowski: Human Activity Segmentation Challenge @ ECML/PKDD’23.
AALTD@ECML, 2023, DOI:10.1007/978-3-031-49896-1_1.

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I have added the following labels to this PR based on the title: [ $\color{#FEF1BE}{\textsf{enhancement}}$ ].
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[patrickzib]

Looks great to me. Some minor comments.

[ermshaua]

Thanks @patrickzib for the review. I pushed the requested changes.

[patrickzib]

LGTM, @TonyBagnall ? @MatthewMiddlehurst ?

[TonyBagnall]

excellent!

[TonyBagnall]

I'll take a closer look later, but all looks fine to me

[TonyBagnall]

LGTM, could I put them on tsc.com to load from?

[MatthewMiddlehurst]

Bit difficult to tell without using them, but looks fine for me. Fits with the current loaders and your tests pass so fine to work out any potential issues later.

[ermshaua]

LGTM, could I put them on tsc.com to load from?

Sure @TonyBagnall, please go ahead! :-)