The data within each set is likely a plain‑text file (e.g., .txt or .jsonl ) with one example per line, formatted for RoBERTa’s tokeniser. A typical entry might look like:
Clean and preprocess the WALS data. This might involve converting feature representations into a format compatible with your chosen model. WALS Roberta Sets 1-36.zip
One of the most powerful uses of is transferring predictions to languages not in WALS. Because RoBERTa learns from subword tokens, you can: The data within each set is likely a plain‑text file (e