2026-10-12T06:18:54Z https://www.scidb.cn/oai

10.57760/sciencedb.j00133.00422 2024-12-12T17:02:25Z

2024-12-12 Tourism Entity Relationship Extraction Dataset doi:10.57760/sciencedb.j00133.00422 en Based on the "China Classification Theme Vocabulary List", concept words in the tourism field were determined, such as scenic spots, tickets, cities, cuisine, etc. Using remote supervision methods, structured triplets were used to annotate tourism texts and assist in constructing a dataset of entity relationship extraction in the tourism field with scenic spots as the core. After data backtesting and manual screening verification, 7253 pieces of data were obtained, including 1006 sentences with overlapping relationships, accounting for about 14% of the dataset, with a total of 9280 entity relationship pairs. It includes 14 relationship categories, mainly consisting of 4A and 5A level tourist attractions across the country.  tourism; relationship; Entity Joint Extraction smy PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank