We introduce DS-1000, a code generation benchmark with a thousand data science
problems spanning seven Python libraries, such as Numpy and Pandas. Compared to prior …

The Cypher property graph query language is an evolving language, originally designed
and implemented as part of the Neo4j graph database, and it is currently used by several …

SQL is the de facto language for manipulating relational data. Though powerful, many users
find it difficult to write SQL queries due to highly expressive constructs. While using the …

Translating natural language to SQL (NL2SQL) has received extensive attention lately,
especially with the recent success of deep learning technologies. However, despite the …

Advances in deep learning have led to a resurgence of interest in video analytics. In an
exploratory video analytics pipeline, a data scientist often starts by searching for a global …

Database management systems (or DBMSs) have been around for decades, and yet are still
difficult to use, particularly when trying to identify and fix errors in user programs (or queries) …

Materializing views is an important method to reduce redundant computations in DBMS,
especially for processing large scale analytical queries. However, many existing methods …

TPC-H continues to be the most widely used benchmark for relational OLAP systems. It
poses a number of challenges, also known as" choke points", which database systems have …

Query rewriting transforms a relational database query into an equivalent but more efficient
one, which is crucial for the performance of database-backed applications. Such rewriting …

To understand diverse natural language commands, virtual assistants today are trained with
numerous labor-intensive, manually annotated sentences. This paper presents a …