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Data · dataset · 2026

Text-to-QueryPlan for Moving Objects Databases Dataset

Listed in ScienceDB

The SECONDO Moving Objects Dataset is an open, tool-agnostic release of real spatio-temporal data for research on moving objects, geospatial analytics, and Text-to-QueryPlan generation.

Description

It bundles three resources: (1) berlintest, the complete Berlin BerlinMOD test database — public-transport networks, city geometry and 562 train trajectories; (2) nanjingtest, a Nanjing geospatial collection — administrative districts, city/university boundaries, the full road network and points of interest; and (3) a text-to-query benchmark of ~100 representative (plus 596 total) natural language questions paired with gold SECONDO executable query plans across eight spatio-temporal query categories.All objects are converted out of the native SECONDO nested-list format into ordinary structured storage: UTF-8 CSV with geometry as OGC WKT, GeoJSON, and exploded per-segment / per-vertex / per-sample-point tables, so the data loads directly into pandas, QGIS, PostGIS, DuckDB, GeoPandas, etc.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Geoinformatics 68%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.3999711 d agoJSON v1
FieldAssertionExtractorEvidence
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