tasksource classification tasks recasted as natural language inference. This dataset is intended to improve label understanding in zero-shot classification HF pipelines .

Inputs that are text pairs are separated by a newline (\n).

from transformers import pipeline
classifier = pipeline(model="sileod/deberta-v3-base-tasksource-nli")
classifier(
    "I have a problem with my iphone that needs to be resolved asap!!",
    candidate_labels=["urgent", "not urgent", "phone", "tablet", "computer"],
)

deberta-v3-base-tasksource-nli now includes label-nli in its training mix (a relatively small portion, to keep the model general, but note that nli models work for label-like zero shot classification without specific supervision ( https://aclanthology.org/D19-1404.pdf ).

@article{sileo2023tasksource,
  title={tasksource: A Dataset Harmonization Framework for Streamlined NLP Multi-Task Learning and Evaluation},
  author={Sileo, Damien},
  year={2023}
}