Wals Roberta Sets [repack]

If you are getting into the world of computational textiles or are looking for high-fidelity training materials for pattern recognition, the WALS Roberta Sets are currently the industry standard for a reason. I’ve spent the last month running these sets through both standard classification tasks and a few custom fine-tuning projects, and here are my thoughts.

( W_ij ) can be binary (1 if observed, 0 otherwise) or confidence-based. For RoBERTa sets, use: [ W_ij = 1 + \alpha \cdot \textsim(x_i, x_j) ] where ( \textsim ) is the cosine similarity between RoBERTa embeddings. This upweights pairs that are semantically similar. wals roberta sets