Dataset Card for PopQA

Dataset Summary

PopQA is a large-scale open-domain question answering (QA) dataset, consisting of 14k entity-centric QA pairs. Each question is created by converting a knowledge tuple retrieved from Wikidata using a template. Each question come with the original subject_entitiey, object_entityand relationship_type annotation, as well as Wikipedia monthly page views.

Languages

The dataset contains samples in English only.

Dataset Structure

Data Instances

Size of downloaded dataset file: 5.2 MB

Data Fields

id: question id
subj: subject entity name
prop: relationship type
obj: object entity name
subj_id: Wikidata ID of the subject entity
prop_id: Wikidata relationship type ID
obj_id: Wikidata ID of the object entity
s_aliases: aliases of the subject entity
o_aliases: aliases of the object entity
s_uri: Wikidata URI of the subject entity
o_uri: Wikidata URI of the object entity
s_wiki_title: Wikipedia page title of the subject entity
o_wiki_title: Wikipedia page title of the object entity
s_pop: Wikipedia monthly pageview of the subject entity
o_pop: Wikipedia monthly pageview of the object entity
question: PopQA question
possible_answers: a list of the gold answers.

Citation Information

@article{ mallen2023llm_memorization ,
  title={When Not to Trust Language Models: Investigating Effectiveness and Limitations of Parametric and Non-Parametric Memories },
  author={ Mallen, Alex and Asai,Akari and  Zhong, Victor and Das, Rajarshi and Hajishirzi, Hannaneh and Khashabi, Daniel},
  journal={ arXiv preprint },
  year={ 2022 }
}