Temporal Ambiguous Query Dataset

Query collections are essential for research in different fields like: information retrieval, computational linguistics and natural language processing. Temporal ambiguous query dataset is a standard reliable English query dataset that was used at in paper "Learning Temporal Ambiguity in Web Search Queries" to evaluate the proposed method for learning temporal ambiguity in web queries. This paper was published in CIKM 2017.

This dataset may be used for any research purposes upon referring the paper "Learning Temporal Ambiguity in Web Search Queries".

This dataset contains different English queries. The categories are:
  •  Temporal unambiguous (TU); 185 queries.
  •  Unpredictable temporal ambiguous (UTA); 105 queries.
  •  Predictable event-related temporal ambiguous (PERTA); 100 queries.
  •  Predictable commemorative temporal (PCTA); 110 queries.

The dataset is available here.

For further information you may contact the authors.