Wals Roberta Sets 1-36.zip -

WALS datasets often have a skewed distribution (e.g., SOV word order is more common than OVS). Use or oversampling to prevent the model from ignoring minority classes.

WALS includes data on (e.g., vowel inventories, tone systems), morphology (e.g., case systems, noun classes), syntax (e.g., word order, negation strategies), and lexicon (e.g., colour terms). Each language is described by a set of typological features (binary, categorical, or scalar values). This structured data is invaluable for training language models to understand linguistic diversity—especially for low‑resource languages that lack large text corpora. WALS‑based benchmarks have been used to evaluate how well models can extract and classify information from linguistic descriptions. WALS Roberta Sets 1-36.zip

print(set1_data[0].keys())