: This only works if block 136 is an isolated bad sector, not a structural corruption.
A large database of structural (phonological, grammatical, lexical) properties of languages gathered from descriptive materials. It is a cornerstone for researchers studying language universals and diversity. wals roberta sets 136zip fix
Instead of wrestling with a broken zip, convert the raw WALS CSV + Roberta tokenizer to Hugging Face’s datasets format. This avoids zip dependencies entirely: : This only works if block 136 is
def load_wals_roberta_fix(): # 1. Load the standard RoBERTa tokenizer first # We use 'roberta-base' as the foundation tokenizer = RobertaTokenizer.from_pretrained('roberta-base') wals roberta sets 136zip fix