WANLI (Worker-AI Collaboration for NLI) is a collection of 108K English sentence pairs for the task of natural language inference (NLI).
Each example is created by first identifying a "pocket" of examples in MultiNLI (Williams et al., 2018) that share a challenging reasoning pattern, then instructing GPT-3 to write a new example with the same pattern.
The set of generated examples are automatically filtered to contain those most… See the full description on the dataset page: https://huggingface.co/datasets/alisawuffles/WANLI.
