First example of feature descriptions via cldf markdown

[xrotwang]

No description provided.

[xrotwang]

@MiinaNo I started experimenting with reformatting the feature descriptions using CLDF markdown (see https://github.com/cldf/cldfviz/blob/main/docs/text.md).
This would entail

• extracting references and examples from the descriptions and adding them to the dataset, i.e. to cldf/sources.bib and cldf/examples.csv
• re-formatting the descriptions in CLDF markdown

Here's what an example would look like:

• The description now contains references (markdown links) to data objects: see https://github.com/cldf-datasets/uratyp/pull/25/files#diff-790c96add56f596866b68ec49a1d09b9615b2f8ce31634ce0de5c57865c1b7e4
• and can be rendered (i.e. turned into regular markdown) via cldfviz.text: https://github.com/cldf-datasets/uratyp/blob/1340d9e81834a5d73d9d084f6fc1a450446952fd/doc/UT002.md

What do you think about this? It would add about 50 sources and more than 100 examples to the dataset - which I think would be a nice addition - and should make curation of the descriptions simpler.

[MiinaNo]

@xrotwang So cool! I even thought that I should contact you an ask about formatting the exampes. This would make everything so much more clear and neat. Let me know if I can somehow be useful. For instance, I have all the references that I used for descriptions in Zotero. I could crate a bib-file as last time? And probably we do not need the separate References part then. This way we could save some space. (I mean that what is at the moment the final section References could finally be deleted as by clicking on the reference one would already see the entire information on the source.)

[xrotwang]

@MiinaNo Yes, when rendered in the web app, the references section could just be skipped. But the nice thing about markdown is that it's also very readable in the static data as hosted by github (see https://github.com/cldf-datasets/uratyp/blob/1340d9e81834a5d73d9d084f6fc1a450446952fd/doc/UT002.md). And there, the references section would probably be good to have.

Regarding the references: I think I managed to extract them all - and also match them with what we already have. See https://github.com/cldf-datasets/uratyp/blob/28aca532910a0ab23d988d175751c74db9d22bee/etc/feature_sources.bib

[MiinaNo]

@xrotwang Great! References look good. And yes, good point about the static data.