{"id":"W4416017186","doi":"10.1145/3746252.3761623","title":"QueryBridge: One Million Annotated Questions with SPARQL Queries - Dataset for Question Answering over Knowledge Graphs","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"SPARQL; Question answering; Benchmark (surveying); Knowledge graph; Natural language; Knowledge extraction; Linked data; Mean reciprocal rank","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001956117,0.00267421,0.001104122,0.004093185,0.0015916,0.001950439,0.003175021,0.004796692,0.01236557],"category_scores_gemma":[0.0136416,0.0006777194,0.001849061,0.004338137,0.001194793,0.003923905,0.003403389,0.002759171,0.009561625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002769592,"about_ca_system_score_gemma":0.002947328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03639937,"about_ca_topic_score_gemma":0.06187514,"domain_scores_codex":[0.9963559,0.0009144194,0.000436914,0.001104628,0.0009313536,0.0002567752],"domain_scores_gemma":[0.9943345,0.002336121,0.0003940135,0.001206169,0.001229045,0.0005002276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007941842,0.0005920202,0.009491201,0.004606806,0.0002815691,0.0006397017,0.0007393037,0.008198626,0.005709348,0.006464944,0.9183791,0.04410318],"study_design_scores_gemma":[0.00117608,0.000563691,0.03623402,0.0009660595,0.0002953435,0.001675112,0.002586567,0.06264933,0.01363745,0.03266518,0.8472669,0.0002843305],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02292865,0.001947927,0.008417464,0.001433071,0.0001734523,0.0005618585,0.9446085,0.01321703,0.006712095],"genre_scores_gemma":[0.01617822,0.0002078386,0.01117932,0.0003926981,0.00002035864,0.0003667907,0.9702643,0.0002749557,0.001115578],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03639937,"threshold_uncertainty_score":0.072375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01907335345570043,"score_gpt":0.3071836583070897,"score_spread":0.2881103048513893,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}