MIT Restaurant数据集是一个用于命名实体识别(NER)任务的数据集,专注于餐厅领域。该数据集包含8种实体类型:评分(Rating)、设施(Amenity)、位置(Location)、餐厅名称(Restaurant_Name)、价格(Price)、营业时间(Hours)、菜品(Dish)和菜系(Cuisine)。数据集的结构包括数据实例、标签ID和数据分割。数据实例展示了训练集的一个示例
The following probabilities are available for coastal flooding: - High - 10 year return period - Medium - 200 year return period - Low - 1000 year return period and 200 year return period plus...
ABSTRACT The corn market plays an important role in the national agricultural scenario, given its relevance in the meat industry, where grain marketing strategies are outstanding, especially those rel