Actual label mapping in ECtHR

[khatrimann]

[EDIT] This is solved here

Hi @iliaschalkidis et al.,

Always good to se your work :)

I want to go deep into the ECtHR dataset a little more. For that I wanted to map the articles to labels in ECtHR. So I adapted this code from one of the discussions, can I use the same for extracting corresponding label mappings to articles?

from datasets import load_dataset

train_dataset = load_dataset("lex_glue", 'ecthr_b', split="train")
labels_ids2names =  {idx: label_name   for idx, label_name in enumerate(train_dataset.features['label'].names)}

# TODO Loop over samples

It'll look something like this

'2' -> 0
'3' -> 1
'5' -> 2
.
.
.
'P1-1' -> 9

[khatrimann]

Solved at this discussion