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View Code? Open in Web Editor NEWSearching for Gothic loanwords in Hungarian
License: Creative Commons Attribution 4.0 International
Searching for Gothic loanwords in Hungarian
License: Creative Commons Attribution 4.0 International
Exclude words from analysis that are not likely to be old because they appear in texts late
We have a new routine, according to which we now download data with GIT and put entire CLDF directories into raw
.
We have used this in a very "professional" way here: https://github.com/lexibank/lexibank-analysed/blob/main/cldfbench_lexibank_analysed.py#L95
But that is a bit too much for you, as you don't need to have all data on Zenodo for development stage.
So you can do something like:
def cmd_download(self, args):
for dataset in self.etc_dir.read_csv(
"datasets.tsv",
delimiter="\t",
dicts=True):
if self.raw_dir.joinpath(
dataset["ID"], "cldf", "cldf-metadata.json").exists():
args.log.info("skipping {0}".format(dataset["ID"]))
else:
args.log.info("cloning {0} to raw/{0}".format(dataset["ID"]))
repo = Repo.clone_from(
"https://github.com/"+
dataset["Organisation"]+"/"+
dataset["Repository"]+'.git',
self.raw_dir / dataset["ID"])
You only need a file etc/datasets.tsv
which contains ID
, Organisation
, and Repository
as key, and ID and Repository are typically identical.
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