ckyRW231/data_sample_1000

TAAC2026演示数据集（1000个样本）是一个用于TAAC2026竞赛的样本数据集，包含1000条用户-物品交互记录。数据集采用扁平列布局，所有特征作为顶级列存储，而非嵌套结构或数组。数据集包含120个列，分为6个类别：ID与标签列（5列，包括用户ID、物品ID、标签类型、标签时间和时间戳，均为int64或int32类型，无空值）、用户整数特征（46列，包括35个标量int64和11个list<int64>数组）、用户密集特征（10列，均为list<float>数组）、物品整数特征（14列，包括13个标量int64和1个list<int64>数组）以及域序列特征（45列，均为list<int64>数组，来自4个行为域：域A序列9列、域B序列14列、域C序列12列、域D序列10列）。数据集文件为demo_1000.parquet，大小约39MB，适用于推荐系统相关的研究和竞赛。The TAAC2026 Demo Dataset (1000 Samples) is a sample dataset containing 1000 user-item interaction records for the TAAC2026 competition. This dataset uses a flat column layout, with all features stored as individual top-level columns instead of nested structs or arrays. It consists of 120 columns categorized into 6 groups: ID & Label columns (5 columns, including user_id, item_id, label_type, label_time, and timestamp, all of type int64 or int32 with no null values), User Int Features (46 columns, comprising 35 scalar int64 and 11 list<int64> arrays), User Dense Features (10 columns, all list<float> arrays), Item Int Features (14 columns, including 13 scalar int64 and 1 list<int64> array), and Domain Sequence Features (45 columns, all list<int64> arrays from 4 behavioral domains: domain A with 9 columns, domain B with 14 columns, domain C with 12 columns, and domain D with 10 columns). The dataset file is demo_1000.parquet, approximately 39 MB in size, and is suitable for recommendation system research and competitions.