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We present CoSQL, a corpus for building cross-domain, general-purposedatabase (DB) querying dialogue systems. It consists of 30k+ turns plus 10k+annotated SQL queries, obtained from a Wizard-of-Oz (WOZ) collection of 3kdialogues querying 200 complex DBs spanning 138 domains. Each dialoguesimulates a real-world DB query scenario with a crowd worker as a userexploring the DB and a SQL expert retrieving answers with SQL, clarifyingambiguous questions, or otherwise informing of unanswerable questions. Whenuser questions are answerable by SQL, the expert describes the SQL andexecution results to the user, hence maintaining a natural interaction flow.CoSQL introduces new challenges compared to existing task-oriented dialoguedatasets:(1) the dialogue states are grounded in SQL, a domain-independentexecutable representation, instead of domain-specific slot-value pairs, and (2)because testing is done on unseen databases, success requires generalizing tonew domains. CoSQL includes three tasks: SQL-grounded dialogue state tracking,response generation from query results, and user dialogue act prediction. Weevaluate a set of strong baselines for each task and show that CoSQL presentssignificant challenges for future research. The dataset, baselines, andleaderboard will be released at https://yale-lily.github.io/cosql.

CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases