AmbigDocs is a benchmark for testing the abilities of current LMs to distinguish confusing entity mentions and generate a cohesive answer.
Language
English
Data Fields
Each instance contains the following fields:
qid: id of the data instance.
ambiguous_entity: an entity that can be interpreted as any of disambiguated entities, depending on the context.
question: question that contains the ambiguous entity.… See the full description on the dataset page: https://huggingface.co/datasets/yoonsanglee/AmbigDocs.