giahy2507/AptMQL-Bench
AptMQL-Bench 📄 Paper: AptMQL-Bench: From Text-to-SQL to Text-to-MQL via Access-Pattern Schema Design and Data-Preserving Migration · arXiv: coming soon AptMQL-Bench is a benchmark for text-to-MQL — the task of translating human-readable requests into executable MongoDB Query Language (MQL) aggregation pipelines. It contains 21 document-oriented databases, 3,181 natural-language requests, and their associated gold MQL queries. Most existing text-to-MQL resources are… See the full description on the dataset page: https://huggingface.co/datasets/giahy2507/AptMQL-Bench.
044
1{"indexes":[{"v":{"$numberInt":"2"},"key":{"_id":{"$numberInt":"1"}},"name":"_id_"},{"v":{"$numberInt":"2"},"key":{"displayName":{"$numberInt":"1"}},"name":"displayName_1"},{"v":{"$numberInt":"2"},"key":{"reputation":{"$numberInt":"-1"}},"name":"reputation_-1"},{"v":{"$numberInt":"2"},"key":{"accountId":{"$numberInt":"1"}},"name":"accountId_1","sparse":true},{"v":{"$numberInt":"2"},"key":{"_fts":"text","_ftsx":{"$numberInt":"1"}},"name":"displayName_text","weights":{"displayName":{"$numberInt":"1"}},"default_language":"english","language_override":"language","textIndexVersion":{"$numberInt":"3"}}],"uuid":"f3757ae805984effaf0a8302dc966abe","collectionName":"users","type":"collection"}