Wals Roberta Sets 136zip Fix

: Addresses errors where linguistic features from the WALS database were not mapping correctly to the RoBERTa tokenizer, preventing model bias during pre-training. Data Integrity

These sets are usually specific iterations of the RoBERTa-base or RoBERTa-large architectures, optimized for specific downstream tasks like sentiment analysis, named entity recognition (NER), or semantic similarity. The "136" designation often refers to the checkpoint number or a specific versioning system used by the distributor. Common Issues with 136zip Files wals roberta sets 136zip fix

zip -T wals_roberta_sets_136.zip

model = RobertaModel.from_pretrained('./roberta_model') : Addresses errors where linguistic features from the