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    <responseDate>2026-10-14T01:13:34Z</responseDate>
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    <identifier>10.57760/sciencedb.39997</identifier>
    <datestamp>2026-06-23T00:27:32Z</datestamp>
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  <dc:date>2026-06-23</dc:date>
  <dc:title>Text-to-QueryPlan for Moving Objects Databases Dataset</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.39997</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>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. It bundles three resources: (1) berlintest, the complete Berlin BerlinMOD test database &amp;mdash; public-transport networks, city geometry and 562 train trajectories; (2) nanjingtest, a Nanjing geospatial collection &amp;mdash; 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.</dc:description>
  <dc:subject>moving objects; spatio-temporal; Text-to-QueryPlan</dc:subject>
  <dc:creator>王撷阳</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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