backup part 9
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_amid_spider_amid_adaptive-amid_ab_pr_0.5_0.5_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt1090__test__full_sql_result.eval_meta.json +12 -0
- text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_amid_spider_amid_adaptive-amid_ab_pr_0.5_0.5_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt1090__test__full_sql_result.json +0 -0
- text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_amid_spider_amid_adaptive-amid_ab_pr_0.5_0.5_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt218__test__full_sql_result.eval_meta.json +12 -0
- text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_amid_spider_amid_adaptive-amid_ab_pr_0.5_0.5_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt218__test__full_sql_result.json +0 -0
- text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_amid_spider_amid_adaptive-amid_ab_pr_0.5_0.5_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt436__test__full_sql_result.eval_meta.json +12 -0
- text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_amid_spider_amid_adaptive-amid_ab_pr_0.5_0.5_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt436__test__full_sql_result.json +0 -0
- text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_amid_spider_amid_adaptive-amid_ab_pr_0.5_0.5_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt654__test__full_sql_result.eval_meta.json +12 -0
- text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_amid_spider_amid_adaptive-amid_ab_pr_0.5_0.5_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt654__test__full_sql_result.json +0 -0
- text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_amid_spider_amid_adaptive-amid_ab_pr_0.5_0.5_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt872__test__full_sql_result.eval_meta.json +12 -0
- text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_amid_spider_amid_adaptive-amid_ab_pr_0.5_0.5_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt872__test__full_sql_result.json +0 -0
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- text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_csd_spider_csd_csd_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt654__test__full_sql_result.eval_meta.json +12 -0
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- text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_distillm_spider_distillm_adaptive-srkl_e5-bs1-lr0.0001-G16-N2-NN1-kd0.7-lora-16-64-0.1__ckpt218__test__full_sql_result.eval_meta.json +12 -0
- text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_distillm_spider_distillm_adaptive-srkl_e5-bs1-lr0.0001-G16-N2-NN1-kd0.7-lora-16-64-0.1__ckpt218__test__full_sql_result.json +0 -0
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text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_amid_spider_amid_adaptive-amid_ab_pr_0.5_0.5_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt1090__test__full_sql_result.eval_meta.json
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text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_amid_spider_amid_adaptive-amid_ab_pr_0.5_0.5_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt218__test__full_sql_result.json
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text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_amid_spider_amid_adaptive-amid_ab_pr_0.5_0.5_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt436__test__full_sql_result.json
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text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_amid_spider_amid_adaptive-amid_ab_pr_0.5_0.5_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt654__test__full_sql_result.json
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text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_amid_spider_amid_adaptive-amid_ab_pr_0.5_0.5_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt872__test__full_sql_result.eval_meta.json
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{
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text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_amid_spider_amid_adaptive-amid_ab_pr_0.5_0.5_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt872__test__full_sql_result.json
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text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_csd_spider_csd_csd_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt1090__test__full_sql_result.eval_meta.json
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"db": "full",
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text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_csd_spider_csd_csd_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt1090__test__full_sql_result.json
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{
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"seed": 10,
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text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_csd_spider_csd_csd_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt218__test__full_sql_result.json
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text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_csd_spider_csd_csd_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt436__test__full_sql_result.json
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text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_csd_spider_csd_csd_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt654__test__full_sql_result.eval_meta.json
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{
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"output_path": "results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_csd_spider_csd_csd_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt654__test__full_sql_result.json",
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text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_csd_spider_csd_csd_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt654__test__full_sql_result.json
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text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_csd_spider_csd_csd_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt872__test__full_sql_result.eval_meta.json
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{
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text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_csd_spider_csd_csd_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt872__test__full_sql_result.json
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text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_distillm_spider_distillm_adaptive-srkl_e5-bs1-lr0.0001-G16-N2-NN1-kd0.7-lora-16-64-0.1__ckpt1090__test__full_sql_result.eval_meta.json
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{
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text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_distillm_spider_distillm_adaptive-srkl_e5-bs1-lr0.0001-G16-N2-NN1-kd0.7-lora-16-64-0.1__ckpt1090__test__full_sql_result.json
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text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_distillm_spider_distillm_adaptive-srkl_e5-bs1-lr0.0001-G16-N2-NN1-kd0.7-lora-16-64-0.1__ckpt218__test__full_sql_result.eval_meta.json
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{
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"benchmark": "spider_realistic",
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"split": "test",
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text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_distillm_spider_distillm_adaptive-srkl_e5-bs1-lr0.0001-G16-N2-NN1-kd0.7-lora-16-64-0.1__ckpt218__test__full_sql_result.json
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text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_distillm_spider_distillm_adaptive-srkl_e5-bs1-lr0.0001-G16-N2-NN1-kd0.7-lora-16-64-0.1__ckpt436__test__full_sql_result.eval_meta.json
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text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_distillm_spider_distillm_adaptive-srkl_e5-bs1-lr0.0001-G16-N2-NN1-kd0.7-lora-16-64-0.1__ckpt436__test__full_sql_result.json
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text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_distillm_spider_distillm_adaptive-srkl_e5-bs1-lr0.0001-G16-N2-NN1-kd0.7-lora-16-64-0.1__ckpt654__test__full_sql_result.eval_meta.json
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{
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"output_path": "results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_distillm_spider_distillm_adaptive-srkl_e5-bs1-lr0.0001-G16-N2-NN1-kd0.7-lora-16-64-0.1__ckpt654__test__full_sql_result.json",
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text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_distillm_spider_distillm_adaptive-srkl_e5-bs1-lr0.0001-G16-N2-NN1-kd0.7-lora-16-64-0.1__ckpt654__test__full_sql_result.json
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text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_distillm_spider_distillm_adaptive-srkl_e5-bs1-lr0.0001-G16-N2-NN1-kd0.7-lora-16-64-0.1__ckpt872__test__full_sql_result.eval_meta.json
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{
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"benchmark": "spider_realistic",
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| 11 |
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| 12 |
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text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_distillm_spider_distillm_adaptive-srkl_e5-bs1-lr0.0001-G16-N2-NN1-kd0.7-lora-16-64-0.1__ckpt872__test__full_sql_result.json
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text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_rkl_spider_rkl_rkl_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt1090__test__full_sql_result.eval_meta.json
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{
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"benchmark": "spider_realistic",
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| 6 |
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| 11 |
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| 12 |
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text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_rkl_spider_rkl_rkl_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt1090__test__full_sql_result.json
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text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_rkl_spider_rkl_rkl_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt218__test__full_sql_result.eval_meta.json
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{
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"seed": 10,
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"benchmark": "spider_realistic",
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"split": "test",
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"db": "full",
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| 6 |
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"output_path": "results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_rkl_spider_rkl_rkl_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt218__test__full_sql_result.json",
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| 12 |
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text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_rkl_spider_rkl_rkl_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt218__test__full_sql_result.json
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text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_rkl_spider_rkl_rkl_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt436__test__full_sql_result.eval_meta.json
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{
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"seed": 10,
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"benchmark": "spider_realistic",
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"split": "test",
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"db": "full",
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| 6 |
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"output_path": "results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_rkl_spider_rkl_rkl_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt436__test__full_sql_result.json",
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| 11 |
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| 12 |
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text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_rkl_spider_rkl_rkl_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt436__test__full_sql_result.json
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text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_rkl_spider_rkl_rkl_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt654__test__full_sql_result.eval_meta.json
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{
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"seed": 10,
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"benchmark": "spider_realistic",
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"split": "test",
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"db": "full",
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"output_path": "results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_rkl_spider_rkl_rkl_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt654__test__full_sql_result.json",
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| 12 |
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text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_rkl_spider_rkl_rkl_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt654__test__full_sql_result.json
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text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_rkl_spider_rkl_rkl_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt872__test__full_sql_result.eval_meta.json
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"seed": 10,
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| 12 |
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text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_rkl_spider_rkl_rkl_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt872__test__full_sql_result.json
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text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_sfkl_spider_sfkl_sfkl_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt218__test__full_sql_result.eval_meta.json
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text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_sfkl_spider_sfkl_sfkl_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt218__test__full_sql_result.json
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text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_sfkl_spider_sfkl_sfkl_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt436__test__full_sql_result.eval_meta.json
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{
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"benchmark": "spider_realistic",
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| 6 |
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"output_path": "results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_sfkl_spider_sfkl_sfkl_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt436__test__full_sql_result.json",
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text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/baselines_train_sfkl_spider_sfkl_sfkl_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt436__test__full_sql_result.json
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text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/formatted_data/baselines_train_amid_spider_amid_adaptive-amid_ab_pr_0.5_0.5_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt1090__test.gold.sql
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|
| 1 |
+
SELECT name , country , age FROM singer ORDER BY age DESC concert_singer
|
| 2 |
+
SELECT avg(age) , min(age) , max(age) FROM singer WHERE country = 'France' concert_singer
|
| 3 |
+
SELECT avg(age) , min(age) , max(age) FROM singer WHERE country = 'France' concert_singer
|
| 4 |
+
SELECT song_name , song_release_year FROM singer ORDER BY age LIMIT 1 concert_singer
|
| 5 |
+
SELECT song_name , song_release_year FROM singer ORDER BY age LIMIT 1 concert_singer
|
| 6 |
+
SELECT DISTINCT country FROM singer WHERE age > 20 concert_singer
|
| 7 |
+
SELECT DISTINCT country FROM singer WHERE age > 20 concert_singer
|
| 8 |
+
SELECT country , count(*) FROM singer GROUP BY country concert_singer
|
| 9 |
+
SELECT country , count(*) FROM singer GROUP BY country concert_singer
|
| 10 |
+
SELECT song_name FROM singer WHERE age > (SELECT avg(age) FROM singer) concert_singer
|
| 11 |
+
SELECT song_name FROM singer WHERE age > (SELECT avg(age) FROM singer) concert_singer
|
| 12 |
+
SELECT LOCATION , name FROM stadium WHERE capacity BETWEEN 5000 AND 10000 concert_singer
|
| 13 |
+
SELECT LOCATION , name FROM stadium WHERE capacity BETWEEN 5000 AND 10000 concert_singer
|
| 14 |
+
SELECT count(*) FROM concert WHERE YEAR = 2014 OR YEAR = 2015 concert_singer
|
| 15 |
+
SELECT count(*) FROM concert WHERE YEAR = 2014 OR YEAR = 2015 concert_singer
|
| 16 |
+
SELECT T2.name , T2.capacity FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id WHERE T1.year >= 2014 GROUP BY T2.stadium_id ORDER BY count(*) DESC LIMIT 1 concert_singer
|
| 17 |
+
select t2.name , t2.capacity from concert as t1 join stadium as t2 on t1.stadium_id = t2.stadium_id where t1.year > 2013 group by t2.stadium_id order by count(*) desc limit 1 concert_singer
|
| 18 |
+
SELECT name FROM stadium WHERE stadium_id NOT IN (SELECT stadium_id FROM concert) concert_singer
|
| 19 |
+
SELECT name FROM stadium WHERE stadium_id NOT IN (SELECT stadium_id FROM concert) concert_singer
|
| 20 |
+
SELECT country FROM singer WHERE age > 40 INTERSECT SELECT country FROM singer WHERE age < 30 concert_singer
|
| 21 |
+
SELECT name FROM stadium EXCEPT SELECT T2.name FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id WHERE T1.year = 2014 concert_singer
|
| 22 |
+
SELECT name FROM stadium EXCEPT SELECT T2.name FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id WHERE T1.year = 2014 concert_singer
|
| 23 |
+
SELECT T2.concert_name , T2.theme , count(*) FROM singer_in_concert AS T1 JOIN concert AS T2 ON T1.concert_id = T2.concert_id GROUP BY T2.concert_id concert_singer
|
| 24 |
+
SELECT T2.name , count(*) FROM singer_in_concert AS T1 JOIN singer AS T2 ON T1.singer_id = T2.singer_id GROUP BY T2.singer_id concert_singer
|
| 25 |
+
SELECT T2.name , count(*) FROM singer_in_concert AS T1 JOIN singer AS T2 ON T1.singer_id = T2.singer_id GROUP BY T2.singer_id concert_singer
|
| 26 |
+
SELECT T2.name FROM singer_in_concert AS T1 JOIN singer AS T2 ON T1.singer_id = T2.singer_id JOIN concert AS T3 ON T1.concert_id = T3.concert_id WHERE T3.year = 2014 concert_singer
|
| 27 |
+
SELECT T2.name FROM singer_in_concert AS T1 JOIN singer AS T2 ON T1.singer_id = T2.singer_id JOIN concert AS T3 ON T1.concert_id = T3.concert_id WHERE T3.year = 2014 concert_singer
|
| 28 |
+
SELECT name , country FROM singer WHERE song_name LIKE '%Hey%' concert_singer
|
| 29 |
+
SELECT name , country FROM singer WHERE song_name LIKE '%Hey%' concert_singer
|
| 30 |
+
SELECT T2.name , T2.location FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id WHERE T1.Year = 2014 INTERSECT SELECT T2.name , T2.location FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id WHERE T1.Year = 2015 concert_singer
|
| 31 |
+
SELECT T2.name , T2.location FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id WHERE T1.Year = 2014 INTERSECT SELECT T2.name , T2.location FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id WHERE T1.Year = 2015 concert_singer
|
| 32 |
+
select count(*) from concert where stadium_id = (select stadium_id from stadium order by capacity desc limit 1) concert_singer
|
| 33 |
+
select count(*) from concert where stadium_id = (select stadium_id from stadium order by capacity desc limit 1) concert_singer
|
| 34 |
+
SELECT count(*) FROM pets WHERE weight > 10 pets_1
|
| 35 |
+
SELECT count(*) FROM pets WHERE weight > 10 pets_1
|
| 36 |
+
SELECT weight FROM pets ORDER BY pet_age LIMIT 1 pets_1
|
| 37 |
+
SELECT weight FROM pets ORDER BY pet_age LIMIT 1 pets_1
|
| 38 |
+
SELECT count(*) FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid WHERE T1.age > 20 pets_1
|
| 39 |
+
SELECT count(*) FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid WHERE T1.age > 20 pets_1
|
| 40 |
+
SELECT count(*) FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T2.petid = T3.petid WHERE T1.sex = 'F' AND T3.pettype = 'dog' pets_1
|
| 41 |
+
SELECT count(*) FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T2.petid = T3.petid WHERE T1.sex = 'F' AND T3.pettype = 'dog' pets_1
|
| 42 |
+
SELECT DISTINCT T1.Fname FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'cat' OR T3.pettype = 'dog' pets_1
|
| 43 |
+
SELECT DISTINCT T1.Fname FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'cat' OR T3.pettype = 'dog' pets_1
|
| 44 |
+
select t1.fname from student as t1 join has_pet as t2 on t1.stuid = t2.stuid join pets as t3 on t3.petid = t2.petid where t3.pettype = 'cat' intersect select t1.fname from student as t1 join has_pet as t2 on t1.stuid = t2.stuid join pets as t3 on t3.petid = t2.petid where t3.pettype = 'dog' pets_1
|
| 45 |
+
SELECT T1.Fname FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'cat' INTERSECT SELECT T1.Fname FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'dog' pets_1
|
| 46 |
+
SELECT major , age FROM student WHERE stuid NOT IN (SELECT T1.stuid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'cat') pets_1
|
| 47 |
+
SELECT major , age FROM student WHERE stuid NOT IN (SELECT T1.stuid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'cat') pets_1
|
| 48 |
+
SELECT stuid FROM student EXCEPT SELECT T1.stuid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'cat' pets_1
|
| 49 |
+
SELECT stuid FROM student EXCEPT SELECT T1.stuid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'cat' pets_1
|
| 50 |
+
SELECT T1.fname , T1.age FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'dog' AND T1.stuid NOT IN (SELECT T1.stuid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'cat') pets_1
|
| 51 |
+
SELECT T1.fname , T1.age FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'dog' AND T1.stuid NOT IN (SELECT T1.stuid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'cat') pets_1
|
| 52 |
+
SELECT pettype , weight FROM pets ORDER BY pet_age LIMIT 1 pets_1
|
| 53 |
+
SELECT pettype , weight FROM pets ORDER BY pet_age LIMIT 1 pets_1
|
| 54 |
+
SELECT petid , weight FROM pets WHERE pet_age > 1 pets_1
|
| 55 |
+
SELECT petid , weight FROM pets WHERE pet_age > 1 pets_1
|
| 56 |
+
SELECT T1.lname FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pet_age = 3 AND T3.pettype = 'cat' pets_1
|
| 57 |
+
SELECT T1.lname FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pet_age = 3 AND T3.pettype = 'cat' pets_1
|
| 58 |
+
select avg(age) from student where stuid not in (select stuid from has_pet) pets_1
|
| 59 |
+
select avg(age) from student where stuid not in (select stuid from has_pet) pets_1
|
| 60 |
+
SELECT T1.FullName , T1.Id , count(*) FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id = T2.Maker GROUP BY T1.Id; car_1
|
| 61 |
+
SELECT T1.FullName , T1.Id , count(*) FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id = T2.Maker GROUP BY T1.Id; car_1
|
| 62 |
+
SELECT T1.model FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId = T2.Id WHERE T2.Weight < (SELECT avg(Weight) FROM CARS_DATA) car_1
|
| 63 |
+
SELECT T1.model FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId = T2.Id WHERE T2.Weight < (SELECT avg(Weight) FROM CARS_DATA) car_1
|
| 64 |
+
SELECT DISTINCT T1.Maker FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id = T2.Maker JOIN CAR_NAMES AS T3 ON T2.model = T3.model JOIN CARS_DATA AS T4 ON T3.MakeId = T4.id WHERE T4.year = '1970'; car_1
|
| 65 |
+
SELECT DISTINCT T1.Maker FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id = T2.Maker JOIN CAR_NAMES AS T3 ON T2.model = T3.model JOIN CARS_DATA AS T4 ON T3.MakeId = T4.id WHERE T4.year = '1970'; car_1
|
| 66 |
+
SELECT T2.Make , T1.Year FROM CARS_DATA AS T1 JOIN CAR_NAMES AS T2 ON T1.Id = T2.MakeId WHERE T1.Year = (SELECT min(YEAR) FROM CARS_DATA); car_1
|
| 67 |
+
SELECT T2.Make , T1.Year FROM CARS_DATA AS T1 JOIN CAR_NAMES AS T2 ON T1.Id = T2.MakeId WHERE T1.Year = (SELECT min(YEAR) FROM CARS_DATA); car_1
|
| 68 |
+
SELECT DISTINCT T1.model FROM MODEL_LIST AS T1 JOIN CAR_NAMES AS T2 ON T1.model = T2.model JOIN CARS_DATA AS T3 ON T2.MakeId = T3.id WHERE T3.year > 1980; car_1
|
| 69 |
+
SELECT DISTINCT T1.model FROM MODEL_LIST AS T1 JOIN CAR_NAMES AS T2 ON T1.model = T2.model JOIN CARS_DATA AS T3 ON T2.MakeId = T3.id WHERE T3.year > 1980; car_1
|
| 70 |
+
SELECT T2.CountryName FROM CAR_MAKERS AS T1 JOIN COUNTRIES AS T2 ON T1.Country = T2.CountryId GROUP BY T1.Country ORDER BY Count(*) DESC LIMIT 1; car_1
|
| 71 |
+
SELECT T2.CountryName FROM CAR_MAKERS AS T1 JOIN COUNTRIES AS T2 ON T1.Country = T2.CountryId GROUP BY T1.Country ORDER BY Count(*) DESC LIMIT 1; car_1
|
| 72 |
+
select count(*) , t2.fullname from model_list as t1 join car_makers as t2 on t1.maker = t2.id group by t2.id; car_1
|
| 73 |
+
SELECT Count(*) , T2.FullName , T2.id FROM MODEL_LIST AS T1 JOIN CAR_MAKERS AS T2 ON T1.Maker = T2.Id GROUP BY T2.id; car_1
|
| 74 |
+
SELECT T1.Accelerate FROM CARS_DATA AS T1 JOIN CAR_NAMES AS T2 ON T1.Id = T2.MakeId WHERE T2.Make = 'amc hornet sportabout (sw)'; car_1
|
| 75 |
+
SELECT count(*) FROM CAR_MAKERS AS T1 JOIN COUNTRIES AS T2 ON T1.Country = T2.CountryId WHERE T2.CountryName = 'france'; car_1
|
| 76 |
+
SELECT count(*) FROM CAR_MAKERS AS T1 JOIN COUNTRIES AS T2 ON T1.Country = T2.CountryId WHERE T2.CountryName = 'france'; car_1
|
| 77 |
+
SELECT count(*) FROM MODEL_LIST AS T1 JOIN CAR_MAKERS AS T2 ON T1.Maker = T2.Id JOIN COUNTRIES AS T3 ON T2.Country = T3.CountryId WHERE T3.CountryName = 'usa'; car_1
|
| 78 |
+
SELECT count(*) FROM MODEL_LIST AS T1 JOIN CAR_MAKERS AS T2 ON T1.Maker = T2.Id JOIN COUNTRIES AS T3 ON T2.Country = T3.CountryId WHERE T3.CountryName = 'usa'; car_1
|
| 79 |
+
SELECT avg(mpg) FROM CARS_DATA WHERE Cylinders = 4; car_1
|
| 80 |
+
select min(weight) from cars_data where cylinders = 8 and year = 1974 car_1
|
| 81 |
+
SELECT T1.CountryName , T1.CountryId FROM COUNTRIES AS T1 JOIN CAR_MAKERS AS T2 ON T1.CountryId = T2.Country GROUP BY T1.CountryId HAVING count(*) >= 1; car_1
|
| 82 |
+
SELECT T1.CountryName , T1.CountryId FROM COUNTRIES AS T1 JOIN CAR_MAKERS AS T2 ON T1.CountryId = T2.Country GROUP BY T1.CountryId HAVING count(*) >= 1; car_1
|
| 83 |
+
SELECT count(*) FROM CARS_DATA WHERE horsepower > 150; car_1
|
| 84 |
+
SELECT count(*) FROM CARS_DATA WHERE horsepower > 150; car_1
|
| 85 |
+
SELECT T1.CountryName FROM COUNTRIES AS T1 JOIN CONTINENTS AS T2 ON T1.Continent = T2.ContId JOIN CAR_MAKERS AS T3 ON T1.CountryId = T3.Country WHERE T2.Continent = 'europe' GROUP BY T1.CountryName HAVING count(*) >= 3; car_1
|
| 86 |
+
SELECT T1.CountryName FROM COUNTRIES AS T1 JOIN CONTINENTS AS T2 ON T1.Continent = T2.ContId JOIN CAR_MAKERS AS T3 ON T1.CountryId = T3.Country WHERE T2.Continent = 'europe' GROUP BY T1.CountryName HAVING count(*) >= 3; car_1
|
| 87 |
+
SELECT T1.Model FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId = T2.Id ORDER BY T2.mpg DESC LIMIT 1; car_1
|
| 88 |
+
select t1.model from car_names as t1 join cars_data as t2 on t1.makeid = t2.id order by t2.mpg desc limit 1; car_1
|
| 89 |
+
SELECT avg(horsepower) FROM CARS_DATA WHERE YEAR < 1980; car_1
|
| 90 |
+
select avg(horsepower) from cars_data where year < 1980; car_1
|
| 91 |
+
SELECT avg(T2.edispl) FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId = T2.Id WHERE T1.Model = 'volvo'; car_1
|
| 92 |
+
SELECT avg(T2.edispl) FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId = T2.Id WHERE T1.Model = 'volvo'; car_1
|
| 93 |
+
SELECT Model FROM CAR_NAMES GROUP BY Model ORDER BY count(*) DESC LIMIT 1; car_1
|
| 94 |
+
SELECT count(*) FROM CARS_DATA WHERE YEAR = 1980; car_1
|
| 95 |
+
SELECT count(*) FROM CARS_DATA WHERE YEAR = 1980; car_1
|
| 96 |
+
SELECT count(*) FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id = T2.Maker WHERE T1.FullName = 'American Motor Company'; car_1
|
| 97 |
+
SELECT count(*) FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id = T2.Maker WHERE T1.FullName = 'American Motor Company'; car_1
|
| 98 |
+
SELECT T1.FullName , T1.Id FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id = T2.Maker GROUP BY T1.Id HAVING count(*) > 3; car_1
|
| 99 |
+
SELECT T1.FullName , T1.Id FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id = T2.Maker GROUP BY T1.Id HAVING count(*) > 3; car_1
|
| 100 |
+
SELECT DISTINCT T2.Model FROM CAR_NAMES AS T1 JOIN MODEL_LIST AS T2 ON T1.Model = T2.Model JOIN CAR_MAKERS AS T3 ON T2.Maker = T3.Id JOIN CARS_DATA AS T4 ON T1.MakeId = T4.Id WHERE T3.FullName = 'General Motors' OR T4.weight > 3500; car_1
|
| 101 |
+
SELECT DISTINCT T2.Model FROM CAR_NAMES AS T1 JOIN MODEL_LIST AS T2 ON T1.Model = T2.Model JOIN CAR_MAKERS AS T3 ON T2.Maker = T3.Id JOIN CARS_DATA AS T4 ON T1.MakeId = T4.Id WHERE T3.FullName = 'General Motors' OR T4.weight > 3500; car_1
|
| 102 |
+
select distinct year from cars_data where weight between 3000 and 4000; car_1
|
| 103 |
+
select distinct year from cars_data where weight between 3000 and 4000; car_1
|
| 104 |
+
SELECT T1.cylinders FROM CARS_DATA AS T1 JOIN CAR_NAMES AS T2 ON T1.Id = T2.MakeId WHERE T2.Model = 'volvo' ORDER BY T1.accelerate ASC LIMIT 1; car_1
|
| 105 |
+
SELECT T1.cylinders FROM CARS_DATA AS T1 JOIN CAR_NAMES AS T2 ON T1.Id = T2.MakeId WHERE T2.Model = 'volvo' ORDER BY T1.accelerate ASC LIMIT 1; car_1
|
| 106 |
+
select count(*) from countries as t1 join car_makers as t2 on t1.countryid = t2.country group by t1.countryid having count(*) > 2 car_1
|
| 107 |
+
select count(*) from countries as t1 join car_makers as t2 on t1.countryid = t2.country group by t1.countryid having count(*) > 2 car_1
|
| 108 |
+
SELECT T1.Model FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId = T2.Id WHERE T2.Cylinders = 4 ORDER BY T2.horsepower DESC LIMIT 1; car_1
|
| 109 |
+
select max(mpg) from cars_data where cylinders = 8 or year < 1980 car_1
|
| 110 |
+
SELECT DISTINCT T1.model FROM MODEL_LIST AS T1 JOIN CAR_NAMES AS T2 ON T1.Model = T2.Model JOIN CARS_DATA AS T3 ON T2.MakeId = T3.Id JOIN CAR_MAKERS AS T4 ON T1.Maker = T4.Id WHERE T3.weight < 3500 AND T4.FullName != 'Ford Motor Company'; car_1
|
| 111 |
+
SELECT DISTINCT T1.model FROM MODEL_LIST AS T1 JOIN CAR_NAMES AS T2 ON T1.Model = T2.Model JOIN CARS_DATA AS T3 ON T2.MakeId = T3.Id JOIN CAR_MAKERS AS T4 ON T1.Maker = T4.Id WHERE T3.weight < 3500 AND T4.FullName != 'Ford Motor Company'; car_1
|
| 112 |
+
SELECT T1.countryId , T1.CountryName FROM Countries AS T1 JOIN CAR_MAKERS AS T2 ON T1.CountryId = T2.Country GROUP BY T1.countryId HAVING count(*) > 3 UNION SELECT T1.countryId , T1.CountryName FROM Countries AS T1 JOIN CAR_MAKERS AS T2 ON T1.CountryId = T2.Country JOIN MODEL_LIST AS T3 ON T2.Id = T3.Maker WHERE T3.Model = 'fiat'; car_1
|
| 113 |
+
select t1.countryid , t1.countryname from countries as t1 join car_makers as t2 on t1.countryid = t2.country group by t1.countryid having count(*) > 3 union select t1.countryid , t1.countryname from countries as t1 join car_makers as t2 on t1.countryid = t2.country join model_list as t3 on t2.id = t3.maker where t3.model = 'fiat'; car_1
|
| 114 |
+
SELECT Country FROM AIRLINES WHERE Airline = "JetBlue Airways" flight_2
|
| 115 |
+
SELECT Country FROM AIRLINES WHERE Airline = "JetBlue Airways" flight_2
|
| 116 |
+
SELECT Abbreviation FROM AIRLINES WHERE Airline = "JetBlue Airways" flight_2
|
| 117 |
+
SELECT Abbreviation FROM AIRLINES WHERE Airline = "JetBlue Airways" flight_2
|
| 118 |
+
SELECT Airline , Abbreviation FROM AIRLINES WHERE Country = "USA" flight_2
|
| 119 |
+
SELECT Airline , Abbreviation FROM AIRLINES WHERE Country = "USA" flight_2
|
| 120 |
+
SELECT AirportCode , AirportName FROM AIRPORTS WHERE city = "Anthony" flight_2
|
| 121 |
+
SELECT AirportCode , AirportName FROM AIRPORTS WHERE city = "Anthony" flight_2
|
| 122 |
+
SELECT Airline FROM AIRLINES WHERE Abbreviation = "UAL" flight_2
|
| 123 |
+
SELECT Airline FROM AIRLINES WHERE Abbreviation = "UAL" flight_2
|
| 124 |
+
SELECT count(*) FROM AIRLINES WHERE Country = "USA" flight_2
|
| 125 |
+
SELECT count(*) FROM AIRLINES WHERE Country = "USA" flight_2
|
| 126 |
+
SELECT AirportName FROM AIRPORTS WHERE AirportCode = "AKO" flight_2
|
| 127 |
+
SELECT AirportName FROM AIRPORTS WHERE AirportCode = "AKO" flight_2
|
| 128 |
+
SELECT AirportName FROM AIRPORTS WHERE City = "Aberdeen" flight_2
|
| 129 |
+
SELECT AirportName FROM AIRPORTS WHERE City = "Aberdeen" flight_2
|
| 130 |
+
SELECT count(*) FROM FLIGHTS WHERE SourceAirport = "APG" flight_2
|
| 131 |
+
SELECT count(*) FROM FLIGHTS WHERE SourceAirport = "APG" flight_2
|
| 132 |
+
SELECT count(*) FROM FLIGHTS WHERE DestAirport = "ATO" flight_2
|
| 133 |
+
SELECT count(*) FROM FLIGHTS WHERE DestAirport = "ATO" flight_2
|
| 134 |
+
SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.SourceAirport = T2.AirportCode WHERE T2.City = "Aberdeen" flight_2
|
| 135 |
+
SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.SourceAirport = T2.AirportCode WHERE T2.City = "Aberdeen" flight_2
|
| 136 |
+
SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.DestAirport = T2.AirportCode WHERE T2.City = "Aberdeen" flight_2
|
| 137 |
+
SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.DestAirport = T2.AirportCode WHERE T2.City = "Aberdeen" flight_2
|
| 138 |
+
SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.DestAirport = T2.AirportCode JOIN AIRPORTS AS T3 ON T1.SourceAirport = T3.AirportCode WHERE T2.City = "Ashley" AND T3.City = "Aberdeen" flight_2
|
| 139 |
+
SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.DestAirport = T2.AirportCode JOIN AIRPORTS AS T3 ON T1.SourceAirport = T3.AirportCode WHERE T2.City = "Ashley" AND T3.City = "Aberdeen" flight_2
|
| 140 |
+
SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRLINES AS T2 ON T1.Airline = T2.uid WHERE T2.Airline = "JetBlue Airways" flight_2
|
| 141 |
+
SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRLINES AS T2 ON T1.Airline = T2.uid WHERE T2.Airline = "JetBlue Airways" flight_2
|
| 142 |
+
SELECT count(*) FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T2.Airline = T1.uid WHERE T1.Airline = "United Airlines" AND T2.DestAirport = "ASY" flight_2
|
| 143 |
+
SELECT count(*) FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T2.Airline = T1.uid WHERE T1.Airline = "United Airlines" AND T2.DestAirport = "ASY" flight_2
|
| 144 |
+
SELECT count(*) FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T2.Airline = T1.uid WHERE T1.Airline = "United Airlines" AND T2.SourceAirport = "AHD" flight_2
|
| 145 |
+
SELECT count(*) FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T2.Airline = T1.uid WHERE T1.Airline = "United Airlines" AND T2.SourceAirport = "AHD" flight_2
|
| 146 |
+
SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.DestAirport = T2.AirportCode JOIN AIRLINES AS T3 ON T3.uid = T1.Airline WHERE T2.City = "Aberdeen" AND T3.Airline = "United Airlines" flight_2
|
| 147 |
+
SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.DestAirport = T2.AirportCode JOIN AIRLINES AS T3 ON T3.uid = T1.Airline WHERE T2.City = "Aberdeen" AND T3.Airline = "United Airlines" flight_2
|
| 148 |
+
SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.SourceAirport = "AHD" flight_2
|
| 149 |
+
SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.SourceAirport = "AHD" flight_2
|
| 150 |
+
SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.DestAirport = "AHD" flight_2
|
| 151 |
+
SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.DestAirport = "AHD" flight_2
|
| 152 |
+
SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.SourceAirport = "APG" INTERSECT SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.SourceAirport = "CVO" flight_2
|
| 153 |
+
SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.SourceAirport = "APG" INTERSECT SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.SourceAirport = "CVO" flight_2
|
| 154 |
+
SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.SourceAirport = "CVO" EXCEPT SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.SourceAirport = "APG" flight_2
|
| 155 |
+
SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.SourceAirport = "CVO" EXCEPT SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.SourceAirport = "APG" flight_2
|
| 156 |
+
SELECT T1.FlightNo FROM FLIGHTS AS T1 JOIN AIRLINES AS T2 ON T2.uid = T1.Airline WHERE T2.Airline = "United Airlines" flight_2
|
| 157 |
+
SELECT T1.FlightNo FROM FLIGHTS AS T1 JOIN AIRLINES AS T2 ON T2.uid = T1.Airline WHERE T2.Airline = "United Airlines" flight_2
|
| 158 |
+
SELECT FlightNo FROM FLIGHTS WHERE SourceAirport = "APG" flight_2
|
| 159 |
+
SELECT FlightNo FROM FLIGHTS WHERE SourceAirport = "APG" flight_2
|
| 160 |
+
SELECT FlightNo FROM FLIGHTS WHERE DestAirport = "APG" flight_2
|
| 161 |
+
SELECT FlightNo FROM FLIGHTS WHERE DestAirport = "APG" flight_2
|
| 162 |
+
SELECT T1.FlightNo FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.SourceAirport = T2.AirportCode WHERE T2.City = "Aberdeen" flight_2
|
| 163 |
+
SELECT T1.FlightNo FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.SourceAirport = T2.AirportCode WHERE T2.City = "Aberdeen" flight_2
|
| 164 |
+
SELECT T1.FlightNo FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.DestAirport = T2.AirportCode WHERE T2.City = "Aberdeen" flight_2
|
| 165 |
+
SELECT T1.FlightNo FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.DestAirport = T2.AirportCode WHERE T2.City = "Aberdeen" flight_2
|
| 166 |
+
SELECT count(*) FROM Flights AS T1 JOIN Airports AS T2 ON T1.DestAirport = T2.AirportCode WHERE T2.city = "Aberdeen" OR T2.city = "Abilene" flight_2
|
| 167 |
+
SELECT count(*) FROM Flights AS T1 JOIN Airports AS T2 ON T1.DestAirport = T2.AirportCode WHERE T2.city = "Aberdeen" OR T2.city = "Abilene" flight_2
|
| 168 |
+
SELECT AirportName FROM Airports WHERE AirportCode NOT IN (SELECT SourceAirport FROM Flights UNION SELECT DestAirport FROM Flights) flight_2
|
| 169 |
+
SELECT AirportName FROM Airports WHERE AirportCode NOT IN (SELECT SourceAirport FROM Flights UNION SELECT DestAirport FROM Flights) flight_2
|
| 170 |
+
SELECT name FROM employee ORDER BY age employee_hire_evaluation
|
| 171 |
+
SELECT name FROM employee ORDER BY age employee_hire_evaluation
|
| 172 |
+
SELECT city FROM employee WHERE age < 30 GROUP BY city HAVING count(*) > 1 employee_hire_evaluation
|
| 173 |
+
SELECT city FROM employee WHERE age < 30 GROUP BY city HAVING count(*) > 1 employee_hire_evaluation
|
| 174 |
+
SELECT count(*) , LOCATION FROM shop GROUP BY LOCATION employee_hire_evaluation
|
| 175 |
+
SELECT count(*) , LOCATION FROM shop GROUP BY LOCATION employee_hire_evaluation
|
| 176 |
+
SELECT manager_name , district FROM shop ORDER BY number_products DESC LIMIT 1 employee_hire_evaluation
|
| 177 |
+
SELECT manager_name , district FROM shop ORDER BY number_products DESC LIMIT 1 employee_hire_evaluation
|
| 178 |
+
SELECT name , LOCATION , district FROM shop ORDER BY number_products DESC employee_hire_evaluation
|
| 179 |
+
SELECT name , LOCATION , district FROM shop ORDER BY number_products DESC employee_hire_evaluation
|
| 180 |
+
SELECT name FROM shop WHERE number_products > (SELECT avg(number_products) FROM shop) employee_hire_evaluation
|
| 181 |
+
SELECT name FROM shop WHERE number_products > (SELECT avg(number_products) FROM shop) employee_hire_evaluation
|
| 182 |
+
SELECT t1.name FROM employee AS t1 JOIN evaluation AS t2 ON t1.Employee_ID = t2.Employee_ID ORDER BY t2.bonus DESC LIMIT 1 employee_hire_evaluation
|
| 183 |
+
SELECT t1.name FROM employee AS t1 JOIN evaluation AS t2 ON t1.Employee_ID = t2.Employee_ID ORDER BY t2.bonus DESC LIMIT 1 employee_hire_evaluation
|
| 184 |
+
SELECT t2.name FROM hiring AS t1 JOIN shop AS t2 ON t1.shop_id = t2.shop_id GROUP BY t1.shop_id ORDER BY count(*) DESC LIMIT 1 employee_hire_evaluation
|
| 185 |
+
SELECT t2.name FROM hiring AS t1 JOIN shop AS t2 ON t1.shop_id = t2.shop_id GROUP BY t1.shop_id ORDER BY count(*) DESC LIMIT 1 employee_hire_evaluation
|
| 186 |
+
SELECT name FROM shop WHERE shop_id NOT IN (SELECT shop_id FROM hiring) employee_hire_evaluation
|
| 187 |
+
SELECT name FROM shop WHERE shop_id NOT IN (SELECT shop_id FROM hiring) employee_hire_evaluation
|
| 188 |
+
SELECT district FROM shop WHERE Number_products < 3000 INTERSECT SELECT district FROM shop WHERE Number_products > 10000 employee_hire_evaluation
|
| 189 |
+
SELECT district FROM shop WHERE Number_products < 3000 INTERSECT SELECT district FROM shop WHERE Number_products > 10000 employee_hire_evaluation
|
| 190 |
+
SELECT Name FROM teacher ORDER BY Age ASC course_teach
|
| 191 |
+
SELECT Name FROM teacher ORDER BY Age ASC course_teach
|
| 192 |
+
select name from teacher where hometown != "little lever urban district" course_teach
|
| 193 |
+
select name from teacher where hometown != "little lever urban district" course_teach
|
| 194 |
+
SELECT Name FROM teacher WHERE Age = 32 OR Age = 33 course_teach
|
| 195 |
+
SELECT Name FROM teacher WHERE Age = 32 OR Age = 33 course_teach
|
| 196 |
+
SELECT Hometown FROM teacher ORDER BY Age ASC LIMIT 1 course_teach
|
| 197 |
+
SELECT Hometown FROM teacher ORDER BY Age ASC LIMIT 1 course_teach
|
| 198 |
+
SELECT Hometown , COUNT(*) FROM teacher GROUP BY Hometown course_teach
|
| 199 |
+
SELECT Hometown , COUNT(*) FROM teacher GROUP BY Hometown course_teach
|
| 200 |
+
SELECT Hometown FROM teacher GROUP BY Hometown ORDER BY COUNT(*) DESC LIMIT 1 course_teach
|
| 201 |
+
SELECT Hometown FROM teacher GROUP BY Hometown HAVING COUNT(*) >= 2 course_teach
|
| 202 |
+
SELECT T3.Name FROM course_arrange AS T1 JOIN course AS T2 ON T1.Course_ID = T2.Course_ID JOIN teacher AS T3 ON T1.Teacher_ID = T3.Teacher_ID WHERE T2.Course = "Math" course_teach
|
| 203 |
+
SELECT T3.Name FROM course_arrange AS T1 JOIN course AS T2 ON T1.Course_ID = T2.Course_ID JOIN teacher AS T3 ON T1.Teacher_ID = T3.Teacher_ID WHERE T2.Course = "Math" course_teach
|
| 204 |
+
SELECT Name FROM teacher WHERE Teacher_id NOT IN (SELECT Teacher_id FROM course_arrange) course_teach
|
| 205 |
+
SELECT Name FROM teacher WHERE Teacher_id NOT IN (SELECT Teacher_id FROM course_arrange) course_teach
|
| 206 |
+
SELECT count(*) FROM visitor WHERE age < 30 museum_visit
|
| 207 |
+
SELECT name FROM visitor WHERE Level_of_membership > 4 ORDER BY Level_of_membership DESC museum_visit
|
| 208 |
+
SELECT avg(age) FROM visitor WHERE Level_of_membership <= 4 museum_visit
|
| 209 |
+
SELECT museum_id , name FROM museum ORDER BY num_of_staff DESC LIMIT 1 museum_visit
|
| 210 |
+
SELECT avg(num_of_staff) FROM museum WHERE open_year < 2009 museum_visit
|
| 211 |
+
SELECT Num_of_Staff , Open_Year FROM museum WHERE name = 'Plaza Museum' museum_visit
|
| 212 |
+
SELECT name FROM museum WHERE num_of_staff > (SELECT min(num_of_staff) FROM museum WHERE open_year > 2010) museum_visit
|
| 213 |
+
SELECT t1.id , t1.name , t1.age FROM visitor AS t1 JOIN visit AS t2 ON t1.id = t2.visitor_id GROUP BY t1.id HAVING count(*) > 1 museum_visit
|
| 214 |
+
SELECT t2.visitor_id , t1.name , t1.Level_of_membership FROM visitor AS t1 JOIN visit AS t2 ON t1.id = t2.visitor_id GROUP BY t2.visitor_id ORDER BY sum(t2.Total_spent) DESC LIMIT 1 museum_visit
|
| 215 |
+
SELECT t2.Museum_ID , t1.name FROM museum AS t1 JOIN visit AS t2 ON t1.Museum_ID = t2.Museum_ID GROUP BY t2.Museum_ID ORDER BY count(*) DESC LIMIT 1 museum_visit
|
| 216 |
+
SELECT name FROM museum WHERE Museum_ID NOT IN (SELECT museum_id FROM visit) museum_visit
|
| 217 |
+
SELECT t1.name , t1.age FROM visitor AS t1 JOIN visit AS t2 ON t1.id = t2.visitor_id ORDER BY t2.num_of_ticket DESC LIMIT 1 museum_visit
|
| 218 |
+
SELECT sum(t2.Total_spent) FROM visitor AS t1 JOIN visit AS t2 ON t1.id = t2.visitor_id WHERE t1.Level_of_membership = 1 museum_visit
|
| 219 |
+
SELECT first_name , birth_date FROM players WHERE country_code = 'USA' wta_1
|
| 220 |
+
SELECT first_name , birth_date FROM players WHERE country_code = 'USA' wta_1
|
| 221 |
+
SELECT tourney_name FROM matches GROUP BY tourney_name HAVING count(*) > 10 wta_1
|
| 222 |
+
SELECT tourney_name FROM matches GROUP BY tourney_name HAVING count(*) > 10 wta_1
|
| 223 |
+
SELECT winner_name FROM matches WHERE YEAR = 2013 INTERSECT SELECT winner_name FROM matches WHERE YEAR = 2016 wta_1
|
| 224 |
+
SELECT winner_name FROM matches WHERE YEAR = 2013 INTERSECT SELECT winner_name FROM matches WHERE YEAR = 2016 wta_1
|
| 225 |
+
SELECT count(*) FROM matches WHERE YEAR = 2013 OR YEAR = 2016 wta_1
|
| 226 |
+
SELECT count(*) FROM matches WHERE YEAR = 2013 OR YEAR = 2016 wta_1
|
| 227 |
+
SELECT T1.country_code , T1.first_name FROM players AS T1 JOIN matches AS T2 ON T1.player_id = T2.winner_id WHERE T2.tourney_name = 'WTA Championships' INTERSECT SELECT T1.country_code , T1.first_name FROM players AS T1 JOIN matches AS T2 ON T1.player_id = T2.winner_id WHERE T2.tourney_name = 'Australian Open' wta_1
|
| 228 |
+
SELECT T1.country_code , T1.first_name FROM players AS T1 JOIN matches AS T2 ON T1.player_id = T2.winner_id WHERE T2.tourney_name = 'WTA Championships' INTERSECT SELECT T1.country_code , T1.first_name FROM players AS T1 JOIN matches AS T2 ON T1.player_id = T2.winner_id WHERE T2.tourney_name = 'Australian Open' wta_1
|
| 229 |
+
SELECT first_name , country_code FROM players ORDER BY birth_date LIMIT 1 wta_1
|
| 230 |
+
SELECT first_name , country_code FROM players ORDER BY birth_date LIMIT 1 wta_1
|
| 231 |
+
SELECT first_name , last_name FROM players ORDER BY birth_date wta_1
|
| 232 |
+
SELECT first_name , last_name FROM players ORDER BY birth_date wta_1
|
| 233 |
+
SELECT first_name , last_name FROM players WHERE hand = 'L' ORDER BY birth_date wta_1
|
| 234 |
+
SELECT first_name , last_name FROM players WHERE hand = 'L' ORDER BY birth_date wta_1
|
| 235 |
+
SELECT winner_name , winner_rank_points FROM matches GROUP BY winner_name ORDER BY count(*) DESC LIMIT 1 wta_1
|
| 236 |
+
SELECT winner_name , winner_rank_points FROM matches GROUP BY winner_name ORDER BY count(*) DESC LIMIT 1 wta_1
|
| 237 |
+
SELECT winner_name FROM matches WHERE tourney_name = 'Australian Open' ORDER BY winner_rank_points DESC LIMIT 1 wta_1
|
| 238 |
+
SELECT winner_name FROM matches WHERE tourney_name = 'Australian Open' ORDER BY winner_rank_points DESC LIMIT 1 wta_1
|
| 239 |
+
SELECT winner_name , loser_name FROM matches ORDER BY minutes DESC LIMIT 1 wta_1
|
| 240 |
+
SELECT winner_name , loser_name FROM matches ORDER BY minutes DESC LIMIT 1 wta_1
|
| 241 |
+
SELECT count(*) , country_code FROM players GROUP BY country_code wta_1
|
| 242 |
+
SELECT count(*) , country_code FROM players GROUP BY country_code wta_1
|
| 243 |
+
SELECT country_code FROM players GROUP BY country_code ORDER BY count(*) DESC LIMIT 1 wta_1
|
| 244 |
+
SELECT country_code FROM players GROUP BY country_code ORDER BY count(*) DESC LIMIT 1 wta_1
|
| 245 |
+
SELECT country_code FROM players GROUP BY country_code HAVING count(*) > 50 wta_1
|
| 246 |
+
SELECT country_code FROM players GROUP BY country_code HAVING count(*) > 50 wta_1
|
| 247 |
+
SELECT DISTINCT winner_name , winner_rank FROM matches ORDER BY winner_age LIMIT 3 wta_1
|
| 248 |
+
SELECT DISTINCT winner_name , winner_rank FROM matches ORDER BY winner_age LIMIT 3 wta_1
|
| 249 |
+
SELECT count(DISTINCT winner_name) FROM matches WHERE tourney_name = 'WTA Championships' AND winner_hand = 'L' wta_1
|
| 250 |
+
SELECT count(DISTINCT winner_name) FROM matches WHERE tourney_name = 'WTA Championships' AND winner_hand = 'L' wta_1
|
| 251 |
+
SELECT count(*) FROM ship WHERE disposition_of_ship = 'Captured' battle_death
|
| 252 |
+
SELECT T1.id , T1.name FROM battle AS T1 JOIN ship AS T2 ON T1.id = T2.lost_in_battle JOIN death AS T3 ON T2.id = T3.caused_by_ship_id GROUP BY T1.id HAVING sum(T3.killed) > 10 battle_death
|
| 253 |
+
SELECT T2.id , T2.name FROM death AS T1 JOIN ship AS t2 ON T1.caused_by_ship_id = T2.id GROUP BY T2.id ORDER BY count(*) DESC LIMIT 1 battle_death
|
| 254 |
+
SELECT T1.name , T1.date FROM battle AS T1 JOIN ship AS T2 ON T1.id = T2.lost_in_battle WHERE T2.name = 'Lettice' INTERSECT SELECT T1.name , T1.date FROM battle AS T1 JOIN ship AS T2 ON T1.id = T2.lost_in_battle WHERE T2.name = 'HMS Atalanta' battle_death
|
| 255 |
+
SELECT name , RESULT , bulgarian_commander FROM battle EXCEPT SELECT T1.name , T1.result , T1.bulgarian_commander FROM battle AS T1 JOIN ship AS T2 ON T1.id = T2.lost_in_battle WHERE T2.location = 'English Channel' battle_death
|
| 256 |
+
SELECT course_description FROM Courses WHERE course_name = 'math' student_transcripts_tracking
|
| 257 |
+
SELECT course_description FROM Courses WHERE course_name = 'math' student_transcripts_tracking
|
| 258 |
+
SELECT zip_postcode FROM Addresses WHERE city = 'Port Chelsea' student_transcripts_tracking
|
| 259 |
+
SELECT zip_postcode FROM Addresses WHERE city = 'Port Chelsea' student_transcripts_tracking
|
| 260 |
+
SELECT T1.last_name FROM Students AS T1 JOIN Addresses AS T2 ON T1.current_address_id = T2.address_id WHERE T2.state_province_county = 'NorthCarolina' EXCEPT SELECT DISTINCT T3.last_name FROM Students AS T3 JOIN Student_Enrolment AS T4 ON T3.student_id = T4.student_id student_transcripts_tracking
|
| 261 |
+
SELECT T1.last_name FROM Students AS T1 JOIN Addresses AS T2 ON T1.current_address_id = T2.address_id WHERE T2.state_province_county = 'NorthCarolina' EXCEPT SELECT DISTINCT T3.last_name FROM Students AS T3 JOIN Student_Enrolment AS T4 ON T3.student_id = T4.student_id student_transcripts_tracking
|
| 262 |
+
SELECT cell_mobile_number FROM Students WHERE first_name = 'Timmothy' AND last_name = 'Ward' student_transcripts_tracking
|
| 263 |
+
select cell_mobile_number from students where first_name = 'timmothy' and last_name = 'ward' student_transcripts_tracking
|
| 264 |
+
SELECT first_name , middle_name , last_name FROM Students ORDER BY date_first_registered ASC LIMIT 1 student_transcripts_tracking
|
| 265 |
+
SELECT first_name , middle_name , last_name FROM Students ORDER BY date_left ASC LIMIT 1 student_transcripts_tracking
|
| 266 |
+
SELECT first_name , middle_name , last_name FROM Students ORDER BY date_left ASC LIMIT 1 student_transcripts_tracking
|
| 267 |
+
SELECT T1.address_id , T1.line_1 , T1.line_2 FROM Addresses AS T1 JOIN Students AS T2 ON T1.address_id = T2.current_address_id GROUP BY T1.address_id ORDER BY count(*) DESC LIMIT 1 student_transcripts_tracking
|
| 268 |
+
SELECT T1.address_id , T1.line_1 , T1.line_2 FROM Addresses AS T1 JOIN Students AS T2 ON T1.address_id = T2.current_address_id GROUP BY T1.address_id ORDER BY count(*) DESC LIMIT 1 student_transcripts_tracking
|
| 269 |
+
SELECT DISTINCT T2.semester_id FROM Degree_Programs AS T1 JOIN Student_Enrolment AS T2 ON T1.degree_program_id = T2.degree_program_id WHERE degree_summary_name = 'Master' INTERSECT SELECT DISTINCT T2.semester_id FROM Degree_Programs AS T1 JOIN Student_Enrolment AS T2 ON T1.degree_program_id = T2.degree_program_id WHERE degree_summary_name = 'Bachelor' student_transcripts_tracking
|
| 270 |
+
SELECT DISTINCT T2.semester_id FROM Degree_Programs AS T1 JOIN Student_Enrolment AS T2 ON T1.degree_program_id = T2.degree_program_id WHERE degree_summary_name = 'Master' INTERSECT SELECT DISTINCT T2.semester_id FROM Degree_Programs AS T1 JOIN Student_Enrolment AS T2 ON T1.degree_program_id = T2.degree_program_id WHERE degree_summary_name = 'Bachelor' student_transcripts_tracking
|
| 271 |
+
select t1.first_name from students as t1 join addresses as t2 on t1.permanent_address_id = t2.address_id where t2.country = 'haiti' or t1.cell_mobile_number = '09700166582' student_transcripts_tracking
|
| 272 |
+
select t1.first_name from students as t1 join addresses as t2 on t1.permanent_address_id = t2.address_id where t2.country = 'haiti' or t1.cell_mobile_number = '09700166582' student_transcripts_tracking
|
| 273 |
+
SELECT Title FROM Cartoon ORDER BY title tvshow
|
| 274 |
+
SELECT Title FROM Cartoon ORDER BY title tvshow
|
| 275 |
+
SELECT Title FROM Cartoon WHERE Directed_by = "Ben Jones"; tvshow
|
| 276 |
+
SELECT Title FROM Cartoon WHERE Directed_by = "Ben Jones"; tvshow
|
| 277 |
+
SELECT count(*) FROM Cartoon WHERE Written_by = "Joseph Kuhr"; tvshow
|
| 278 |
+
SELECT count(*) FROM Cartoon WHERE Written_by = "Joseph Kuhr"; tvshow
|
| 279 |
+
SELECT title , Directed_by FROM Cartoon ORDER BY Original_air_date tvshow
|
| 280 |
+
SELECT title , Directed_by FROM Cartoon ORDER BY Original_air_date tvshow
|
| 281 |
+
SELECT Title FROM Cartoon WHERE Directed_by = "Ben Jones" OR Directed_by = "Brandon Vietti"; tvshow
|
| 282 |
+
SELECT Title FROM Cartoon WHERE Directed_by = "Ben Jones" OR Directed_by = "Brandon Vietti"; tvshow
|
| 283 |
+
SELECT Country , count(*) FROM TV_Channel GROUP BY Country ORDER BY count(*) DESC LIMIT 1; tvshow
|
| 284 |
+
SELECT Country , count(*) FROM TV_Channel GROUP BY Country ORDER BY count(*) DESC LIMIT 1; tvshow
|
| 285 |
+
SELECT Content FROM TV_Channel WHERE series_name = "Sky Radio"; tvshow
|
| 286 |
+
SELECT Content FROM TV_Channel WHERE series_name = "Sky Radio"; tvshow
|
| 287 |
+
SELECT Package_Option FROM TV_Channel WHERE series_name = "Sky Radio"; tvshow
|
| 288 |
+
SELECT count(*) FROM TV_Channel WHERE LANGUAGE = "English"; tvshow
|
| 289 |
+
SELECT count(*) FROM TV_Channel WHERE LANGUAGE = "English"; tvshow
|
| 290 |
+
SELECT T1.series_name FROM TV_Channel AS T1 JOIN Cartoon AS T2 ON T1.id = T2.Channel WHERE T2.Title = "The Rise of the Blue Beetle!"; tvshow
|
| 291 |
+
SELECT T1.series_name FROM TV_Channel AS T1 JOIN Cartoon AS T2 ON T1.id = T2.Channel WHERE T2.Title = "The Rise of the Blue Beetle!"; tvshow
|
| 292 |
+
SELECT T2.Title FROM TV_Channel AS T1 JOIN Cartoon AS T2 ON T1.id = T2.Channel WHERE T1.series_name = "Sky Radio"; tvshow
|
| 293 |
+
SELECT T2.Title FROM TV_Channel AS T1 JOIN Cartoon AS T2 ON T1.id = T2.Channel WHERE T1.series_name = "Sky Radio"; tvshow
|
| 294 |
+
SELECT Air_Date FROM TV_series WHERE Episode = "A Love of a Lifetime"; tvshow
|
| 295 |
+
SELECT Air_Date FROM TV_series WHERE Episode = "A Love of a Lifetime"; tvshow
|
| 296 |
+
SELECT Weekly_Rank FROM TV_series WHERE Episode = "A Love of a Lifetime"; tvshow
|
| 297 |
+
SELECT Weekly_Rank FROM TV_series WHERE Episode = "A Love of a Lifetime"; tvshow
|
| 298 |
+
SELECT T1.series_name FROM TV_Channel AS T1 JOIN TV_series AS T2 ON T1.id = T2.Channel WHERE T2.Episode = "A Love of a Lifetime"; tvshow
|
| 299 |
+
SELECT T1.series_name FROM TV_Channel AS T1 JOIN TV_series AS T2 ON T1.id = T2.Channel WHERE T2.Episode = "A Love of a Lifetime"; tvshow
|
| 300 |
+
SELECT T2.Episode FROM TV_Channel AS T1 JOIN TV_series AS T2 ON T1.id = T2.Channel WHERE T1.series_name = "Sky Radio"; tvshow
|
| 301 |
+
SELECT T2.Episode FROM TV_Channel AS T1 JOIN TV_series AS T2 ON T1.id = T2.Channel WHERE T1.series_name = "Sky Radio"; tvshow
|
| 302 |
+
SELECT count(*) , Directed_by FROM cartoon GROUP BY Directed_by tvshow
|
| 303 |
+
SELECT count(*) , Directed_by FROM cartoon GROUP BY Directed_by tvshow
|
| 304 |
+
select production_code , channel from cartoon order by original_air_date desc limit 1 tvshow
|
| 305 |
+
select production_code , channel from cartoon order by original_air_date desc limit 1 tvshow
|
| 306 |
+
SELECT package_option , series_name FROM TV_Channel WHERE hight_definition_TV = "yes" tvshow
|
| 307 |
+
SELECT package_option , series_name FROM TV_Channel WHERE hight_definition_TV = "yes" tvshow
|
| 308 |
+
SELECT T1.country FROM TV_Channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.Channel WHERE T2.written_by = 'Todd Casey' tvshow
|
| 309 |
+
SELECT T1.country FROM TV_Channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.Channel WHERE T2.written_by = 'Todd Casey' tvshow
|
| 310 |
+
SELECT country FROM TV_Channel EXCEPT SELECT T1.country FROM TV_Channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.Channel WHERE T2.written_by = 'Todd Casey' tvshow
|
| 311 |
+
SELECT country FROM TV_Channel EXCEPT SELECT T1.country FROM TV_Channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.Channel WHERE T2.written_by = 'Todd Casey' tvshow
|
| 312 |
+
SELECT T1.series_name , T1.country FROM TV_Channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.Channel WHERE T2.directed_by = 'Michael Chang' INTERSECT SELECT T1.series_name , T1.country FROM TV_Channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.Channel WHERE T2.directed_by = 'Ben Jones' tvshow
|
| 313 |
+
SELECT T1.series_name , T1.country FROM TV_Channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.Channel WHERE T2.directed_by = 'Michael Chang' INTERSECT SELECT T1.series_name , T1.country FROM TV_Channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.Channel WHERE T2.directed_by = 'Ben Jones' tvshow
|
| 314 |
+
SELECT Pixel_aspect_ratio_PAR , country FROM tv_channel WHERE LANGUAGE != 'English' tvshow
|
| 315 |
+
SELECT Pixel_aspect_ratio_PAR , country FROM tv_channel WHERE LANGUAGE != 'English' tvshow
|
| 316 |
+
SELECT id FROM tv_channel GROUP BY country HAVING count(*) > 2 tvshow
|
| 317 |
+
SELECT id FROM TV_Channel EXCEPT SELECT channel FROM cartoon WHERE directed_by = 'Ben Jones' tvshow
|
| 318 |
+
SELECT id FROM TV_Channel EXCEPT SELECT channel FROM cartoon WHERE directed_by = 'Ben Jones' tvshow
|
| 319 |
+
SELECT package_option FROM TV_Channel WHERE id NOT IN (SELECT channel FROM cartoon WHERE directed_by = 'Ben Jones') tvshow
|
| 320 |
+
SELECT package_option FROM TV_Channel WHERE id NOT IN (SELECT channel FROM cartoon WHERE directed_by = 'Ben Jones') tvshow
|
| 321 |
+
SELECT Earnings FROM poker_player ORDER BY Earnings DESC poker_player
|
| 322 |
+
SELECT T2.Money_Rank FROM people AS T1 JOIN poker_player AS T2 ON T1.People_ID = T2.People_ID ORDER BY T1.Height DESC LIMIT 1 poker_player
|
| 323 |
+
SELECT T2.Money_Rank FROM people AS T1 JOIN poker_player AS T2 ON T1.People_ID = T2.People_ID ORDER BY T1.Height DESC LIMIT 1 poker_player
|
| 324 |
+
SELECT avg(T2.Earnings) FROM people AS T1 JOIN poker_player AS T2 ON T1.People_ID = T2.People_ID WHERE T1.Height > 200 poker_player
|
| 325 |
+
SELECT avg(T2.Earnings) FROM people AS T1 JOIN poker_player AS T2 ON T1.People_ID = T2.People_ID WHERE T1.Height > 200 poker_player
|
| 326 |
+
SELECT Nationality , COUNT(*) FROM people GROUP BY Nationality poker_player
|
| 327 |
+
SELECT Nationality , COUNT(*) FROM people GROUP BY Nationality poker_player
|
| 328 |
+
SELECT Nationality FROM people GROUP BY Nationality HAVING COUNT(*) >= 2 poker_player
|
| 329 |
+
SELECT Name FROM people WHERE Nationality != "Russia" poker_player
|
| 330 |
+
SELECT Name FROM people WHERE Nationality != "Russia" poker_player
|
| 331 |
+
SELECT max(created) FROM votes WHERE state = 'CA' voter_1
|
| 332 |
+
SELECT count(*) FROM votes WHERE state = 'NY' OR state = 'CA' voter_1
|
| 333 |
+
SELECT T2.created , T2.state , T2.phone_number FROM contestants AS T1 JOIN votes AS T2 ON T1.contestant_number = T2.contestant_number WHERE T1.contestant_name = 'Tabatha Gehling' voter_1
|
| 334 |
+
SELECT T3.area_code FROM contestants AS T1 JOIN votes AS T2 ON T1.contestant_number = T2.contestant_number JOIN area_code_state AS T3 ON T2.state = T3.state WHERE T1.contestant_name = 'Tabatha Gehling' INTERSECT SELECT T3.area_code FROM contestants AS T1 JOIN votes AS T2 ON T1.contestant_number = T2.contestant_number JOIN area_code_state AS T3 ON T2.state = T3.state WHERE T1.contestant_name = 'Kelly Clauss' voter_1
|
| 335 |
+
SELECT Name FROM country WHERE IndepYear > 1950 world_1
|
| 336 |
+
SELECT Name FROM country WHERE IndepYear > 1950 world_1
|
| 337 |
+
SELECT count(*) FROM country WHERE GovernmentForm = "Republic" world_1
|
| 338 |
+
SELECT count(*) FROM country WHERE GovernmentForm = "Republic" world_1
|
| 339 |
+
SELECT sum(SurfaceArea) FROM country WHERE Region = "Caribbean" world_1
|
| 340 |
+
SELECT sum(SurfaceArea) FROM country WHERE Region = "Caribbean" world_1
|
| 341 |
+
SELECT Continent FROM country WHERE Name = "Anguilla" world_1
|
| 342 |
+
SELECT Continent FROM country WHERE Name = "Anguilla" world_1
|
| 343 |
+
SELECT Region FROM country AS T1 JOIN city AS T2 ON T1.Code = T2.CountryCode WHERE T2.Name = "Kabul" world_1
|
| 344 |
+
SELECT Region FROM country AS T1 JOIN city AS T2 ON T1.Code = T2.CountryCode WHERE T2.Name = "Kabul" world_1
|
| 345 |
+
SELECT T2.Language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Name = "Aruba" ORDER BY Percentage DESC LIMIT 1 world_1
|
| 346 |
+
SELECT T2.Language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Name = "Aruba" ORDER BY Percentage DESC LIMIT 1 world_1
|
| 347 |
+
SELECT Population , LifeExpectancy FROM country WHERE Name = "Brazil" world_1
|
| 348 |
+
SELECT Population , LifeExpectancy FROM country WHERE Name = "Brazil" world_1
|
| 349 |
+
SELECT Population , Region FROM country WHERE Name = "Angola" world_1
|
| 350 |
+
SELECT Population , Region FROM country WHERE Name = "Angola" world_1
|
| 351 |
+
SELECT avg(LifeExpectancy) FROM country WHERE Region = "Central Africa" world_1
|
| 352 |
+
SELECT avg(LifeExpectancy) FROM country WHERE Region = "Central Africa" world_1
|
| 353 |
+
SELECT Name FROM country WHERE Continent = "Asia" ORDER BY LifeExpectancy LIMIT 1 world_1
|
| 354 |
+
SELECT Name FROM country WHERE Continent = "Asia" ORDER BY LifeExpectancy LIMIT 1 world_1
|
| 355 |
+
SELECT sum(Population) , max(GNP) FROM country WHERE Continent = "Asia" world_1
|
| 356 |
+
SELECT sum(Population) , max(GNP) FROM country WHERE Continent = "Asia" world_1
|
| 357 |
+
SELECT avg(LifeExpectancy) FROM country WHERE Continent = "Africa" AND GovernmentForm = "Republic" world_1
|
| 358 |
+
SELECT avg(LifeExpectancy) FROM country WHERE Continent = "Africa" AND GovernmentForm = "Republic" world_1
|
| 359 |
+
SELECT sum(SurfaceArea) FROM country WHERE Continent = "Asia" OR Continent = "Europe" world_1
|
| 360 |
+
SELECT sum(SurfaceArea) FROM country WHERE Continent = "Asia" OR Continent = "Europe" world_1
|
| 361 |
+
SELECT sum(Population) FROM city WHERE District = "Gelderland" world_1
|
| 362 |
+
SELECT sum(Population) FROM city WHERE District = "Gelderland" world_1
|
| 363 |
+
SELECT avg(GNP) , sum(population) FROM country WHERE GovernmentForm = "US Territory" world_1
|
| 364 |
+
SELECT avg(GNP) , sum(population) FROM country WHERE GovernmentForm = "US Territory" world_1
|
| 365 |
+
SELECT count(DISTINCT GovernmentForm) FROM country WHERE Continent = "Africa" world_1
|
| 366 |
+
SELECT count(DISTINCT GovernmentForm) FROM country WHERE Continent = "Africa" world_1
|
| 367 |
+
SELECT COUNT(T2.Language) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Name = "Aruba" world_1
|
| 368 |
+
SELECT COUNT(T2.Language) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Name = "Aruba" world_1
|
| 369 |
+
SELECT COUNT(*) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Name = "Afghanistan" AND IsOfficial = "T" world_1
|
| 370 |
+
SELECT COUNT(*) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Name = "Afghanistan" AND IsOfficial = "T" world_1
|
| 371 |
+
SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode GROUP BY T1.Name ORDER BY COUNT(*) DESC LIMIT 1 world_1
|
| 372 |
+
SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode GROUP BY T1.Name ORDER BY COUNT(*) DESC LIMIT 1 world_1
|
| 373 |
+
SELECT T1.Continent FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode GROUP BY T1.Continent ORDER BY COUNT(*) DESC LIMIT 1 world_1
|
| 374 |
+
SELECT T1.Continent FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode GROUP BY T1.Continent ORDER BY COUNT(*) DESC LIMIT 1 world_1
|
| 375 |
+
SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "English" INTERSECT SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "French" world_1
|
| 376 |
+
SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "English" INTERSECT SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "French" world_1
|
| 377 |
+
SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "English" AND T2.IsOfficial = "T" INTERSECT SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "French" AND T2.IsOfficial = "T" world_1
|
| 378 |
+
SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "English" AND T2.IsOfficial = "T" INTERSECT SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "French" AND T2.IsOfficial = "T" world_1
|
| 379 |
+
SELECT COUNT( DISTINCT Continent) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "Chinese" world_1
|
| 380 |
+
SELECT COUNT( DISTINCT Continent) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "Chinese" world_1
|
| 381 |
+
SELECT DISTINCT T1.Region FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "English" OR T2.Language = "Dutch" world_1
|
| 382 |
+
SELECT DISTINCT T1.Region FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "English" OR T2.Language = "Dutch" world_1
|
| 383 |
+
select t1.name from country as t1 join countrylanguage as t2 on t1.code = t2.countrycode where t2.language = "english" and isofficial = "t" union select t1.name from country as t1 join countrylanguage as t2 on t1.code = t2.countrycode where t2.language = "dutch" and isofficial = "t" world_1
|
| 384 |
+
SELECT T2.Language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Continent = "Asia" GROUP BY T2.Language ORDER BY COUNT (*) DESC LIMIT 1 world_1
|
| 385 |
+
SELECT T2.Language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Continent = "Asia" GROUP BY T2.Language ORDER BY COUNT (*) DESC LIMIT 1 world_1
|
| 386 |
+
SELECT T2.Language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.GovernmentForm = "Republic" GROUP BY T2.Language HAVING COUNT(*) = 1 world_1
|
| 387 |
+
SELECT T2.Language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.GovernmentForm = "Republic" GROUP BY T2.Language HAVING COUNT(*) = 1 world_1
|
| 388 |
+
SELECT T1.Name , T1.Population FROM city AS T1 JOIN countrylanguage AS T2 ON T1.CountryCode = T2.CountryCode WHERE T2.Language = "English" ORDER BY T1.Population DESC LIMIT 1 world_1
|
| 389 |
+
SELECT T1.Name , T1.Population FROM city AS T1 JOIN countrylanguage AS T2 ON T1.CountryCode = T2.CountryCode WHERE T2.Language = "English" ORDER BY T1.Population DESC LIMIT 1 world_1
|
| 390 |
+
SELECT Name , Population , LifeExpectancy FROM country WHERE Continent = "Asia" ORDER BY SurfaceArea DESC LIMIT 1 world_1
|
| 391 |
+
SELECT avg(LifeExpectancy) FROM country WHERE Name NOT IN (SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "English" AND T2.IsOfficial = "T") world_1
|
| 392 |
+
SELECT avg(LifeExpectancy) FROM country WHERE Name NOT IN (SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "English" AND T2.IsOfficial = "T") world_1
|
| 393 |
+
SELECT sum(Population) FROM country WHERE Name NOT IN (SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "English") world_1
|
| 394 |
+
SELECT sum(Population) FROM country WHERE Name NOT IN (SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "English") world_1
|
| 395 |
+
SELECT T2.Language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.HeadOfState = "Beatrix" AND T2.IsOfficial = "T" world_1
|
| 396 |
+
SELECT T2.Language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.HeadOfState = "Beatrix" AND T2.IsOfficial = "T" world_1
|
| 397 |
+
SELECT count(DISTINCT T2.Language) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE IndepYear < 1930 AND T2.IsOfficial = "T" world_1
|
| 398 |
+
SELECT count(DISTINCT T2.Language) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE IndepYear < 1930 AND T2.IsOfficial = "T" world_1
|
| 399 |
+
SELECT Name FROM country WHERE SurfaceArea > (SELECT min(SurfaceArea) FROM country WHERE Continent = "Europe") world_1
|
| 400 |
+
SELECT Name FROM country WHERE SurfaceArea > (SELECT min(SurfaceArea) FROM country WHERE Continent = "Europe") world_1
|
| 401 |
+
SELECT Name FROM country WHERE Continent = "Africa" AND population < (SELECT max(population) FROM country WHERE Continent = "Asia") world_1
|
| 402 |
+
SELECT Name FROM country WHERE Continent = "Africa" AND population < (SELECT min(population) FROM country WHERE Continent = "Asia") world_1
|
| 403 |
+
SELECT Name FROM country WHERE Continent = "Asia" AND population > (SELECT max(population) FROM country WHERE Continent = "Africa") world_1
|
| 404 |
+
SELECT Name FROM country WHERE Continent = "Asia" AND population > (SELECT min(population) FROM country WHERE Continent = "Africa") world_1
|
| 405 |
+
SELECT CountryCode FROM countrylanguage EXCEPT SELECT CountryCode FROM countrylanguage WHERE LANGUAGE = "English" world_1
|
| 406 |
+
SELECT CountryCode FROM countrylanguage EXCEPT SELECT CountryCode FROM countrylanguage WHERE LANGUAGE = "English" world_1
|
| 407 |
+
SELECT DISTINCT CountryCode FROM countrylanguage WHERE LANGUAGE != "English" world_1
|
| 408 |
+
SELECT DISTINCT CountryCode FROM countrylanguage WHERE LANGUAGE != "English" world_1
|
| 409 |
+
SELECT Code FROM country WHERE GovernmentForm != "Republic" EXCEPT SELECT CountryCode FROM countrylanguage WHERE LANGUAGE = "English" world_1
|
| 410 |
+
SELECT Code FROM country WHERE GovernmentForm != "Republic" EXCEPT SELECT CountryCode FROM countrylanguage WHERE LANGUAGE = "English" world_1
|
| 411 |
+
SELECT DISTINCT T2.Name FROM country AS T1 JOIN city AS T2 ON T2.CountryCode = T1.Code WHERE T1.Continent = 'Europe' AND T1.Name NOT IN (SELECT T3.Name FROM country AS T3 JOIN countrylanguage AS T4 ON T3.Code = T4.CountryCode WHERE T4.IsOfficial = 'T' AND T4.Language = 'English') world_1
|
| 412 |
+
select distinct t3.name from country as t1 join countrylanguage as t2 on t1.code = t2.countrycode join city as t3 on t1.code = t3.countrycode where t2.isofficial = 't' and t2.language = 'chinese' and t1.continent = "asia" world_1
|
| 413 |
+
SELECT DISTINCT T3.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode JOIN city AS T3 ON T1.Code = T3.CountryCode WHERE T2.IsOfficial = 'T' AND T2.Language = 'Chinese' AND T1.Continent = "Asia" world_1
|
| 414 |
+
SELECT Name , SurfaceArea , IndepYear FROM country ORDER BY Population LIMIT 1 world_1
|
| 415 |
+
SELECT Name , SurfaceArea , IndepYear FROM country ORDER BY Population LIMIT 1 world_1
|
| 416 |
+
SELECT Name , population , HeadOfState FROM country ORDER BY SurfaceArea DESC LIMIT 1 world_1
|
| 417 |
+
SELECT count(*) , District FROM city WHERE Population > (SELECT avg(Population) FROM city) GROUP BY District world_1
|
| 418 |
+
SELECT count(*) , District FROM city WHERE Population > (SELECT avg(Population) FROM city) GROUP BY District world_1
|
| 419 |
+
SELECT Name , SurfaceArea FROM country ORDER BY SurfaceArea DESC LIMIT 5 world_1
|
| 420 |
+
SELECT Name FROM country ORDER BY Population DESC LIMIT 3 world_1
|
| 421 |
+
SELECT Name FROM country ORDER BY Population DESC LIMIT 3 world_1
|
| 422 |
+
SELECT Name FROM country ORDER BY Population ASC LIMIT 3 world_1
|
| 423 |
+
SELECT Name FROM country ORDER BY Population ASC LIMIT 3 world_1
|
| 424 |
+
SELECT count(*) FROM country WHERE continent = "Asia" world_1
|
| 425 |
+
SELECT count(*) FROM country WHERE continent = "Asia" world_1
|
| 426 |
+
SELECT Name FROM country WHERE continent = "Europe" AND Population = "80000" world_1
|
| 427 |
+
SELECT Name FROM country WHERE continent = "Europe" AND Population = "80000" world_1
|
| 428 |
+
select sum(population) , avg(surfacearea) from country where continent = "north america" and surfacearea > 3000 world_1
|
| 429 |
+
select sum(population) , avg(surfacearea) from country where continent = "north america" and surfacearea > 3000 world_1
|
| 430 |
+
SELECT name FROM city WHERE Population BETWEEN 160000 AND 900000 world_1
|
| 431 |
+
select name from city where population between 160000 and 900000 world_1
|
| 432 |
+
SELECT LANGUAGE , CountryCode , max(Percentage) FROM countrylanguage GROUP BY CountryCode world_1
|
| 433 |
+
SELECT LANGUAGE , CountryCode , max(Percentage) FROM countrylanguage GROUP BY CountryCode world_1
|
| 434 |
+
SELECT count(*) , max(Percentage) FROM countrylanguage WHERE LANGUAGE = "Spanish" GROUP BY CountryCode world_1
|
| 435 |
+
SELECT count(*) , max(Percentage) FROM countrylanguage WHERE LANGUAGE = "Spanish" GROUP BY CountryCode world_1
|
| 436 |
+
SELECT CountryCode , max(Percentage) FROM countrylanguage WHERE LANGUAGE = "Spanish" GROUP BY CountryCode world_1
|
| 437 |
+
SELECT CountryCode , max(Percentage) FROM countrylanguage WHERE LANGUAGE = "Spanish" GROUP BY CountryCode world_1
|
| 438 |
+
SELECT Name FROM conductor ORDER BY Age ASC orchestra
|
| 439 |
+
SELECT Name FROM conductor ORDER BY Age ASC orchestra
|
| 440 |
+
SELECT Name FROM conductor WHERE Nationality != 'USA' orchestra
|
| 441 |
+
SELECT Name FROM conductor WHERE Nationality != 'USA' orchestra
|
| 442 |
+
SELECT Record_Company FROM orchestra ORDER BY Year_of_Founded DESC orchestra
|
| 443 |
+
SELECT Record_Company FROM orchestra ORDER BY Year_of_Founded DESC orchestra
|
| 444 |
+
SELECT COUNT(*) FROM orchestra WHERE Major_Record_Format = "CD" OR Major_Record_Format = "DVD" orchestra
|
| 445 |
+
SELECT grade FROM Highschooler WHERE name = "Kyle" network_1
|
| 446 |
+
SELECT grade FROM Highschooler WHERE name = "Kyle" network_1
|
| 447 |
+
SELECT name FROM Highschooler WHERE grade = 10 network_1
|
| 448 |
+
SELECT name FROM Highschooler WHERE grade = 10 network_1
|
| 449 |
+
SELECT ID FROM Highschooler WHERE name = "Kyle" network_1
|
| 450 |
+
SELECT ID FROM Highschooler WHERE name = "Kyle" network_1
|
| 451 |
+
SELECT count(*) FROM Highschooler WHERE grade = 9 OR grade = 10 network_1
|
| 452 |
+
SELECT count(*) FROM Highschooler WHERE grade = 9 OR grade = 10 network_1
|
| 453 |
+
SELECT grade , count(*) FROM Highschooler GROUP BY grade network_1
|
| 454 |
+
SELECT grade , count(*) FROM Highschooler GROUP BY grade network_1
|
| 455 |
+
SELECT grade FROM Highschooler GROUP BY grade ORDER BY count(*) DESC LIMIT 1 network_1
|
| 456 |
+
SELECT T3.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id JOIN Highschooler AS T3 ON T1.friend_id = T3.id WHERE T2.name = "Kyle" network_1
|
| 457 |
+
SELECT T3.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id JOIN Highschooler AS T3 ON T1.friend_id = T3.id WHERE T2.name = "Kyle" network_1
|
| 458 |
+
SELECT count(*) FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id WHERE T2.name = "Kyle" network_1
|
| 459 |
+
SELECT count(*) FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id WHERE T2.name = "Kyle" network_1
|
| 460 |
+
SELECT count(*) FROM Likes AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id WHERE T2.name = "Kyle" network_1
|
| 461 |
+
SELECT count(*) FROM Likes AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id WHERE T2.name = "Kyle" network_1
|
| 462 |
+
SELECT avg(grade) FROM Highschooler WHERE id IN (SELECT T1.student_id FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id) network_1
|
| 463 |
+
SELECT avg(grade) FROM Highschooler WHERE id IN (SELECT T1.student_id FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id) network_1
|
| 464 |
+
SELECT min(grade) FROM Highschooler WHERE id NOT IN (SELECT T1.student_id FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id) network_1
|
| 465 |
+
SELECT min(grade) FROM Highschooler WHERE id NOT IN (SELECT T1.student_id FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id) network_1
|
| 466 |
+
SELECT professional_id , last_name , cell_number FROM Professionals WHERE state = 'Indiana' UNION SELECT T1.professional_id , T1.last_name , T1.cell_number FROM Professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id = T2.professional_id GROUP BY T1.professional_id HAVING count(*) > 2 dog_kennels
|
| 467 |
+
SELECT professional_id , last_name , cell_number FROM Professionals WHERE state = 'Indiana' UNION SELECT T1.professional_id , T1.last_name , T1.cell_number FROM Professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id = T2.professional_id GROUP BY T1.professional_id HAVING count(*) > 2 dog_kennels
|
| 468 |
+
select name from dogs where dog_id not in ( select dog_id from treatments group by dog_id having sum(cost_of_treatment) > 1000 ) dog_kennels
|
| 469 |
+
SELECT T1.owner_id , T2.first_name , T2.last_name FROM Dogs AS T1 JOIN Owners AS T2 ON T1.owner_id = T2.owner_id GROUP BY T1.owner_id ORDER BY count(*) DESC LIMIT 1 dog_kennels
|
| 470 |
+
SELECT T1.owner_id , T2.first_name , T2.last_name FROM Dogs AS T1 JOIN Owners AS T2 ON T1.owner_id = T2.owner_id GROUP BY T1.owner_id ORDER BY count(*) DESC LIMIT 1 dog_kennels
|
| 471 |
+
SELECT T1.professional_id , T1.role_code , T1.first_name FROM Professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id = T2.professional_id GROUP BY T1.professional_id HAVING count(*) >= 2 dog_kennels
|
| 472 |
+
SELECT T1.professional_id , T1.role_code , T1.first_name FROM Professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id = T2.professional_id GROUP BY T1.professional_id HAVING count(*) >= 2 dog_kennels
|
| 473 |
+
SELECT T1.treatment_type_description FROM Treatment_types AS T1 JOIN Treatments AS T2 ON T1.treatment_type_code = T2.treatment_type_code GROUP BY T1.treatment_type_code ORDER BY sum(cost_of_treatment) ASC LIMIT 1 dog_kennels
|
| 474 |
+
SELECT T1.treatment_type_description FROM Treatment_types AS T1 JOIN Treatments AS T2 ON T1.treatment_type_code = T2.treatment_type_code GROUP BY T1.treatment_type_code ORDER BY sum(cost_of_treatment) ASC LIMIT 1 dog_kennels
|
| 475 |
+
SELECT T1.owner_id , T1.zip_code FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id = T2.owner_id JOIN Treatments AS T3 ON T2.dog_id = T3.dog_id GROUP BY T1.owner_id ORDER BY sum(T3.cost_of_treatment) DESC LIMIT 1 dog_kennels
|
| 476 |
+
SELECT T1.owner_id , T1.zip_code FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id = T2.owner_id JOIN Treatments AS T3 ON T2.dog_id = T3.dog_id GROUP BY T1.owner_id ORDER BY sum(T3.cost_of_treatment) DESC LIMIT 1 dog_kennels
|
| 477 |
+
SELECT DISTINCT T1.first_name , T1.last_name FROM Professionals AS T1 JOIN Treatments AS T2 WHERE cost_of_treatment < ( SELECT avg(cost_of_treatment) FROM Treatments ) dog_kennels
|
| 478 |
+
SELECT DISTINCT T1.first_name , T1.last_name FROM Professionals AS T1 JOIN Treatments AS T2 WHERE cost_of_treatment < ( SELECT avg(cost_of_treatment) FROM Treatments ) dog_kennels
|
| 479 |
+
SELECT T1.first_name , T2.name FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id = T2.owner_id WHERE T1.state = 'Virginia' dog_kennels
|
| 480 |
+
SELECT T1.first_name , T2.name FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id = T2.owner_id WHERE T1.state = 'Virginia' dog_kennels
|
| 481 |
+
SELECT T1.last_name FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id = T2.owner_id WHERE T2.age = ( SELECT max(age) FROM Dogs ) dog_kennels
|
| 482 |
+
SELECT T1.last_name FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id = T2.owner_id WHERE T2.age = ( SELECT max(age) FROM Dogs ) dog_kennels
|
| 483 |
+
SELECT email_address FROM Professionals WHERE state = 'Hawaii' OR state = 'Wisconsin' dog_kennels
|
| 484 |
+
SELECT email_address FROM Professionals WHERE state = 'Hawaii' OR state = 'Wisconsin' dog_kennels
|
| 485 |
+
SELECT count(*) FROM Dogs WHERE age < ( SELECT avg(age) FROM Dogs ) dog_kennels
|
| 486 |
+
SELECT count(*) FROM Dogs WHERE age < ( SELECT avg(age) FROM Dogs ) dog_kennels
|
| 487 |
+
SELECT cost_of_treatment FROM Treatments ORDER BY date_of_treatment DESC LIMIT 1 dog_kennels
|
| 488 |
+
SELECT cost_of_treatment FROM Treatments ORDER BY date_of_treatment DESC LIMIT 1 dog_kennels
|
| 489 |
+
SELECT name , age , weight FROM Dogs WHERE abandoned_yn = 1 dog_kennels
|
| 490 |
+
SELECT name , age , weight FROM Dogs WHERE abandoned_yn = 1 dog_kennels
|
| 491 |
+
SELECT Name FROM singer ORDER BY Net_Worth_Millions ASC singer
|
| 492 |
+
SELECT Name FROM singer ORDER BY Net_Worth_Millions ASC singer
|
| 493 |
+
SELECT Name FROM singer WHERE Citizenship != "France" singer
|
| 494 |
+
SELECT Name FROM singer WHERE Citizenship != "France" singer
|
| 495 |
+
SELECT Name FROM singer WHERE Birth_Year = 1948 OR Birth_Year = 1949 singer
|
| 496 |
+
SELECT Name FROM singer WHERE Birth_Year = 1948 OR Birth_Year = 1949 singer
|
| 497 |
+
SELECT Name FROM singer ORDER BY Net_Worth_Millions DESC LIMIT 1 singer
|
| 498 |
+
SELECT Citizenship , COUNT(*) FROM singer GROUP BY Citizenship singer
|
| 499 |
+
SELECT Citizenship , COUNT(*) FROM singer GROUP BY Citizenship singer
|
| 500 |
+
SELECT Citizenship FROM singer GROUP BY Citizenship ORDER BY COUNT(*) DESC LIMIT 1 singer
|
| 501 |
+
select citizenship from singer group by citizenship order by count(*) desc limit 1 singer
|
| 502 |
+
SELECT Citizenship , max(Net_Worth_Millions) FROM singer GROUP BY Citizenship singer
|
| 503 |
+
SELECT Citizenship , max(Net_Worth_Millions) FROM singer GROUP BY Citizenship singer
|
| 504 |
+
SELECT DISTINCT T1.Name FROM singer AS T1 JOIN song AS T2 ON T1.Singer_ID = T2.Singer_ID WHERE T2.Sales > 300000 singer
|
| 505 |
+
SELECT DISTINCT T1.Name FROM singer AS T1 JOIN song AS T2 ON T1.Singer_ID = T2.Singer_ID WHERE T2.Sales > 300000 singer
|
| 506 |
+
SELECT Citizenship FROM singer WHERE Birth_Year < 1945 INTERSECT SELECT Citizenship FROM singer WHERE Birth_Year > 1955 singer
|
| 507 |
+
SELECT Citizenship FROM singer WHERE Birth_Year < 1945 INTERSECT SELECT Citizenship FROM singer WHERE Birth_Year > 1955 singer
|
| 508 |
+
SELECT property_name FROM Properties WHERE property_type_code = "House" UNION SELECT property_name FROM Properties WHERE property_type_code = "Apartment" AND room_count > 1 real_estate_properties
|
text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/formatted_data/baselines_train_amid_spider_amid_adaptive-amid_ab_pr_0.5_0.5_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt1090__test.meta.jsonl
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/formatted_data/baselines_train_amid_spider_amid_adaptive-amid_ab_pr_0.5_0.5_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt1090__test.pred.sql
ADDED
|
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|
|
| 1 |
+
SELECT name, country, age FROM singer ORDER BY Age DESC
|
| 2 |
+
SELECT avg(age), min(age), max(age) FROM singer WHERE country = 'France'
|
| 3 |
+
SELECT avg(age), min(age), max(age) FROM singer WHERE country = "France"
|
| 4 |
+
SELECT Song_Name, Song_release_year FROM singer ORDER BY Age ASC LIMIT 1
|
| 5 |
+
SELECT Song_Name, Song_release_year FROM singer ORDER BY Age ASC
|
| 6 |
+
SELECT DISTINCT country FROM singer WHERE age > 20
|
| 7 |
+
SELECT DISTINCT Country FROM singer WHERE Age > 20
|
| 8 |
+
SELECT Country, COUNT(*) FROM singer GROUP BY Country
|
| 9 |
+
SELECT Country, COUNT(*) FROM singer GROUP BY Country
|
| 10 |
+
SELECT Song_Name FROM singer WHERE Age > (SELECT avg(Age) FROM singer)
|
| 11 |
+
SELECT Song_Name FROM singer WHERE Age > (SELECT avg(Age) FROM singer)
|
| 12 |
+
SELECT LOCATION, name FROM stadium WHERE capacity BETWEEN 5000 AND 10000
|
| 13 |
+
SELECT T2.Location, T1.Name FROM concert AS T1 JOIN stadium AS T2 ON T1.Stadium_ID = T2.Stadium_ID WHERE T2.Capacity BETWEEN 5000 AND 10000
|
| 14 |
+
SELECT count(*) FROM concert WHERE YEAR = 2014 OR YEAR = 2015
|
| 15 |
+
SELECT count(*) FROM concert WHERE YEAR = 2014 OR YEAR = 2015
|
| 16 |
+
SELECT T2.Name, T1.Capacity FROM stadium AS T1 JOIN concert AS T2 ON T1.Stadium_ID = T2.Stadium_ID WHERE T2.year >= 2014 GROUP BY T1.Stadium_ID ORDER BY count(*) DESC LIMIT 1
|
| 17 |
+
SELECT t1.name, t1.capacity FROM stadium AS t1 JOIN concert AS t2 ON t1.stadium_id = t2.stadium_id WHERE t2.year > 2013 ORDER BY t2.year DESC LIMIT 1
|
| 18 |
+
SELECT name FROM stadium WHERE stadium_id NOT IN (SELECT stadium_id FROM concert)
|
| 19 |
+
SELECT Name FROM stadium WHERE Stadium_ID NOT IN (SELECT Stadium_ID FROM concert)
|
| 20 |
+
SELECT Country FROM singer WHERE Age < 30 INTERSECT SELECT Country FROM singer WHERE Age > 40
|
| 21 |
+
SELECT name FROM stadium EXCEPT SELECT t1.name FROM stadium AS t1 JOIN concert AS t2 ON t1.stadium_id = t2.stadium_id WHERE t2.year = 2014
|
| 22 |
+
SELECT name FROM stadium WHERE stadium_id NOT IN (SELECT stadium_id FROM concert WHERE YEAR = 2014)
|
| 23 |
+
SELECT T2.theme, count(*), T1.concert_name FROM singer_in_concert AS T1 JOIN concert AS T2 ON T1.concert_id = T2.concert_id GROUP BY T1.concert_id
|
| 24 |
+
SELECT T2.Name, COUNT(*) FROM singer_in_concert AS T1 JOIN singer AS T2 ON T1.Singer_ID = T2.Singer_ID GROUP BY T2.Name
|
| 25 |
+
SELECT T2.Name, count(*) FROM singer_in_concert AS T1 JOIN concert AS T2 ON T1.concert_ID = T2.concert_ID GROUP BY T1.Singer_ID
|
| 26 |
+
SELECT T3.Name FROM concert AS T1 JOIN singer_in_concert AS T2 ON T1.concert_ID = T2.concert_ID JOIN singer AS T3 ON T2.Singer_ID = T3.Singer_ID WHERE T1.year = 2014
|
| 27 |
+
SELECT T2.Name FROM concert AS T1 JOIN singer_in_concert AS T2 ON T1.concert_ID = T2.concert_ID WHERE T1.year = 2014
|
| 28 |
+
SELECT T2.Name, T2.Country FROM singer AS T1 JOIN singer_in_concert AS T2 ON T1.Singer_ID = T2.Singer_ID WHERE T1.Song_Name LIKE "%Hey%"
|
| 29 |
+
SELECT T2.Name, T2.Country FROM singer AS T1 JOIN singer_in_concert AS T2 ON T1.Singer_ID = T2.Singer_ID WHERE T1.song_name LIKE "%Hey%"
|
| 30 |
+
SELECT T3.Name, T3.Location FROM concert AS T1 JOIN stadium AS T2 ON T1.Stadium_ID = T2.Stadium_ID JOIN singer_in_concert AS T3 ON T1.concert_ID = T3.concert_ID WHERE T1.year = 2014 INTERSECT SELECT T3.Name, T3.Location FROM concert AS T1 JOIN stadium AS T2 ON T1.Stadium_ID = T2.Stadium_ID JOIN singer_in_concert AS T3 ON T1.concert_ID = T3.concert_ID WHERE T1.year = 2015
|
| 31 |
+
SELECT T2.Name, T2.Location FROM concert AS T1 JOIN stadium AS T2 ON T1.Stadium_ID = T2.Stadium_ID WHERE T1.year = 2014 INTERSECT SELECT T2.Name, T2.Location FROM concert AS T1 JOIN stadium AS T2 ON T1.Stadium_ID = T2.Stadium_ID WHERE T1.year = 2015
|
| 32 |
+
SELECT count(*) FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_ID = T2.stadium_ID ORDER BY T2.Capacity DESC LIMIT 1
|
| 33 |
+
SELECT count(*) FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id WHERE T2.capacity = (SELECT max(capacity) FROM stadium)
|
| 34 |
+
SELECT count(*) FROM Pets WHERE weight > 10
|
| 35 |
+
SELECT count(*) FROM Pets WHERE weight > 10
|
| 36 |
+
SELECT min(weight) FROM Pets WHERE pet_type = 'dog'
|
| 37 |
+
SELECT min(weight) FROM Pets WHERE pet_type = 'dog'
|
| 38 |
+
SELECT count(*) FROM Student AS T1 JOIN Has_Pet AS T2 ON T1.StuID = T2.StuID WHERE T1.age > 20
|
| 39 |
+
SELECT count(*) FROM Student AS T1 JOIN Has_Pet AS T2 ON T1.StuID = T2.StuID WHERE T1.age > 20
|
| 40 |
+
SELECT count(*) FROM Student JOIN Has_Pet ON Student.StuID = Has_Pet.StuID WHERE PetType = "Dog" AND Sex = "F"
|
| 41 |
+
SELECT count(*) FROM Student JOIN Has_Pet ON Student.StuID = Has_Pet.StuID WHERE PetType = "dog" AND Sex = "F"
|
| 42 |
+
SELECT DISTINCT T1.fname FROM student AS T1 JOIN Has_Pet AS T2 ON T1.stuid = T2.stuid WHERE T2.pettype = "cat" OR T2.pettype = "dog"
|
| 43 |
+
SELECT DISTINCT T1.fname FROM student AS T1 JOIN Has_Pet AS T2 ON T1.stuid = T2.stuid WHERE T2.pettype = "cat" OR T2.pettype = "dog"
|
| 44 |
+
SELECT T1.fname FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T2.petid = T3.petid WHERE T3.pettype = "cat" INTERSECT SELECT T1.fname FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T2.petid = T3.petid WHERE T3.pettype = "dog"
|
| 45 |
+
SELECT T1.fname FROM student AS T1 JOIN Has_Pet AS T2 ON T1.stuid = T2.stuid JOIN Pets AS T3 ON T2.petid = T3.petid WHERE T3.pettype = "cat" INTERSECT SELECT T1.fname FROM student AS T1 JOIN Has_Pet AS T2 ON T1.stuid = T2.stuid JOIN Pets AS T3 ON T2.petid = T3.petid WHERE T3.pettype = "dog"
|
| 46 |
+
SELECT major, age FROM student WHERE StuID NOT IN (SELECT StuID FROM Has_Pet)
|
| 47 |
+
SELECT major, age FROM Student EXCEPT SELECT T1.major, T1.age FROM Student AS T1 JOIN Has_Pet AS T2 ON T1.StuID = T2.StuID WHERE T2.petid = "null"
|
| 48 |
+
SELECT StuID FROM Student EXCEPT SELECT StuID FROM Has_Pet
|
| 49 |
+
SELECT StuID FROM Student EXCEPT SELECT StuID FROM Has_Pet
|
| 50 |
+
SELECT T1.fname, T1.age FROM student AS T1 JOIN Has_Pet AS T2 ON T1.stuid = T2.stuid WHERE T2.pettype = "dog" EXCEPT SELECT T1.fname, T1.age FROM student AS T1 JOIN Has_Pet AS T2 ON T1.stuid = T2.stuid WHERE T2.pettype = "cat"
|
| 51 |
+
SELECT DISTINCT T1.fname FROM student AS T1 JOIN Has_Pet AS T2 ON T1.stuid = T2.stuid JOIN Pets AS T3 ON T2.petid = T3.petid WHERE T3.pettype = "dog" EXCEPT SELECT DISTINCT T1.fname FROM student AS T1 JOIN Has_Pet AS T2 ON T1.stuid = T2.stuid JOIN Pets AS T3 ON T2.petid = T3.petid WHERE T3.pettype = "cat"
|
| 52 |
+
SELECT pet_type, weight FROM Pets ORDER BY pet_age LIMIT 1
|
| 53 |
+
SELECT pet_type, weight FROM Pets ORDER BY pet_age LIMIT 1
|
| 54 |
+
SELECT petID, weight FROM Pets WHERE pet_age > 1
|
| 55 |
+
SELECT PetID, weight FROM Pets WHERE pet_age > 1
|
| 56 |
+
SELECT T1.lname FROM student AS T1 JOIN Has_Pet AS T2 ON T1.stuid = T2.stuid JOIN Pets AS T3 ON T2.petid = T3.petid WHERE T3.pettype = "cat" AND T3.petage = 3
|
| 57 |
+
SELECT T1.lname FROM Student AS T1 JOIN Has_Pet AS T2 ON T1.StuID = T2.StuID JOIN Pets AS T3 ON T2.PetID = T3.PetID WHERE T3.pet_age = 3
|
| 58 |
+
SELECT avg(age) FROM student WHERE StuID NOT IN (SELECT StuID FROM Has_Pet)
|
| 59 |
+
SELECT avg(age) FROM student WHERE StuID NOT IN (SELECT StuID FROM Has_Pet)
|
| 60 |
+
SELECT T1.Maker, T1.id, T1.FullName FROM car_makers AS T1 JOIN model_list AS T2 ON T1.id = T2.maker GROUP BY T1.id
|
| 61 |
+
SELECT T1.id, T1.FullName, count(*) FROM car_makers AS T1 JOIN model_list AS T2 ON T1.id = T2.maker GROUP BY T1.id
|
| 62 |
+
SELECT makeid FROM cars_data WHERE weight < (SELECT avg(weight) FROM cars_data)
|
| 63 |
+
SELECT DISTINCT model FROM cars_data WHERE weight < (SELECT avg(weight) FROM cars_data)
|
| 64 |
+
SELECT DISTINCT T2.Maker FROM car_names AS T1 JOIN car_makers AS T2 ON T1.Maker = T2.Id WHERE T1.year = 1970
|
| 65 |
+
SELECT DISTINCT T2.Maker FROM car_names AS T1 JOIN car_makers AS T2 ON T1.MakeId = T2.Id WHERE T1.year = 1970
|
| 66 |
+
SELECT T1.make, T1.year FROM car_names AS T1 JOIN cars_data AS T2 ON T1.makeid = T2.id GROUP BY T1.makeid ORDER BY T2.year ASC LIMIT 1
|
| 67 |
+
SELECT t1.maker, t1.year FROM car_makers AS t1 JOIN cars_data AS t2 ON t1.id = t2.id WHERE t2.id < 1500 ORDER BY t2.year
|
| 68 |
+
SELECT DISTINCT T2.Model FROM cars_data AS T1 JOIN model_list AS T2 ON T1.id = T2.makeid WHERE T1.year > 1980
|
| 69 |
+
SELECT DISTINCT T1.Model FROM model_list AS T1 JOIN cars_data AS T2 ON T1.Model = T2.id WHERE T2.year > 1980
|
| 70 |
+
SELECT countryname FROM carmakers GROUP BY country ORDER BY count(*) DESC LIMIT 1
|
| 71 |
+
SELECT t2.countryname FROM car_makers AS t1 JOIN countries AS t2 ON t1.country = t2.countryid GROUP BY t1.country ORDER BY count(*) DESC LIMIT 1
|
| 72 |
+
SELECT count(*), T2.FullName FROM car_makers AS T1 JOIN model_list AS T2 ON T1.Id = T2.maker GROUP BY T1.maker
|
| 73 |
+
SELECT count(*), T1.id, T1.FullName FROM car_makers AS T1 JOIN model_list AS T2 ON T1.id = T2.maker GROUP BY T1.id
|
| 74 |
+
SELECT max(T2.Accelerate) FROM car_names AS T1 JOIN cars_data AS T2 ON T1.MakeId = T2.MakeId JOIN car_makers AS T3 ON T2.Maker = T3.Id WHERE T3.FullName = 'amc hornet sportabout (sw)';
|
| 75 |
+
SELECT count(*) FROM car_makers WHERE country = "France"
|
| 76 |
+
SELECT count(*) FROM car_makers WHERE country = "France"
|
| 77 |
+
SELECT count(*) FROM car_makers AS T1 JOIN model_list AS T2 ON T1.id = T2.maker WHERE T1.country = "USA"
|
| 78 |
+
SELECT count(*) FROM car_names WHERE country = "United States"
|
| 79 |
+
SELECT avg(mpg) FROM car_data WHERE cyl = 4
|
| 80 |
+
SELECT min(weight) FROM cars_data WHERE YEAR = 1974 AND cyl = 8
|
| 81 |
+
SELECT T2.CountryName, T1.Id FROM car_makers AS T1 JOIN countries AS T2 ON T1.Country = T2.CountryId GROUP BY T1.Country HAVING count(*) >= 1
|
| 82 |
+
SELECT T2.CountryName, T1.Id FROM car_makers AS T1 JOIN countries AS T2 ON T1.Country = T2.CountryId GROUP BY T1.Country HAVING count(*) >= 1
|
| 83 |
+
SELECT id FROM cars_data WHERE horsepower > 150
|
| 84 |
+
SELECT count(*) FROM cars_data WHERE horsepower > 150
|
| 85 |
+
SELECT T2.CountryName FROM car_makers AS T1 JOIN countries AS T2 ON T1.Country = T2.CountryId WHERE T1.CountryIn = "Europe" GROUP BY T2.CountryName HAVING count(*) >= 3
|
| 86 |
+
SELECT T1.CountryName FROM countries AS T1 JOIN car_makers AS T2 ON T1.CountryId = T2.CountryId GROUP BY T1.CountryId HAVING COUNT(*) >= 3 AND T1.Continent = 'Europe'
|
| 87 |
+
SELECT model_id, T1.id FROM car_names AS T1 JOIN model_list AS T2 ON T1.model = T2.model GROUP BY T1.model ORDER BY avg(T1.MPG) DESC LIMIT 1
|
| 88 |
+
SELECT t1.id, t1.mpg FROM cars_data AS t1 JOIN model_list AS t2 ON t1.id = t2.modelid WHERE t1.mpg = (SELECT max(mpg) FROM cars_data)
|
| 89 |
+
SELECT avg(Horsepower) FROM cars_data WHERE YEAR < 1980
|
| 90 |
+
SELECT avg(Horsepower) FROM cars_data WHERE YEAR < 1980
|
| 91 |
+
SELECT avg(Edispl) FROM car_names WHERE make = "Volvo"
|
| 92 |
+
SELECT avg(Edispl) FROM car_names WHERE make = 'Volvo'
|
| 93 |
+
SELECT T1.Maker FROM car_makers AS T1 JOIN cars_data AS T2 ON T1.id = T2.id GROUP BY T1.maker ORDER BY count(*) DESC LIMIT 1
|
| 94 |
+
SELECT count(*) FROM cars_data WHERE YEAR = 1980
|
| 95 |
+
SELECT count(*) FROM car_makers WHERE YEAR = 1980
|
| 96 |
+
SELECT count(*) FROM car_makers AS T1 JOIN model_list AS T2 ON T1.id = T2.maker WHERE T1.country = "America"
|
| 97 |
+
SELECT count(*) FROM car_makers AS T1 JOIN model_list AS T2 ON T1.id = T2.maker WHERE T1.maker = 'American Motor Company'
|
| 98 |
+
SELECT T2.FullName, T1.id FROM car_makers AS T1 JOIN model_list AS T2 ON T1.id = T2.maker GROUP BY T1.id HAVING count(*) > 3
|
| 99 |
+
SELECT T1.FullName, T1.Id FROM car_makers AS T1 JOIN model_list AS T2 ON T1.id = T2.maker GROUP BY T1.id HAVING count(*) > 3
|
| 100 |
+
SELECT DISTINCT T1.Model FROM model_list AS T1 JOIN cars_data AS T2 ON T1.Model = T2.Id WHERE T1.Maker = "General Motors" OR T2.Weight > 3500
|
| 101 |
+
SELECT DISTINCT T1.Model FROM model_list AS T1 JOIN car_makers AS T2 ON T1.Maker = T2.Id JOIN cars_data AS T3 ON T1.Model = T3.Model WHERE T2.Maker = "General Motors" OR T3.Weight > 3500
|
| 102 |
+
SELECT YEAR FROM cars_data WHERE weight BETWEEN 3000 AND 4000
|
| 103 |
+
SELECT DISTINCT YEAR FROM cars_data WHERE weight BETWEEN 3000 AND 4000
|
| 104 |
+
SELECT min(cylinders) FROM cars_data WHERE make = 'Volvo'
|
| 105 |
+
SELECT T1.id, T1.cylinders FROM cars_data AS T1 JOIN model_list AS T2 ON T1.makeid = T2.id WHERE T2.model = 'volvo' ORDER BY T1.accelerate LIMIT 1
|
| 106 |
+
SELECT count(*) FROM car_makers GROUP BY country WHERE count(*) > 2
|
| 107 |
+
SELECT count(*) FROM car_makers GROUP BY country WHERE count(*) > 2
|
| 108 |
+
SELECT T1.Model FROM car_names AS T1 JOIN cars_data AS T2 ON T1.Model = T2.Id WHERE T2.Cylinders = 4 GROUP BY T1.Model ORDER BY T2.Horsepower DESC LIMIT 1
|
| 109 |
+
SELECT max(T1.MPG) FROM cars_data AS T1 JOIN car_makers AS T2 ON T1.id = T2.id WHERE T2.maker = "Toyota" OR T1.cylinders = 8 AND T1.year < 1980
|
| 110 |
+
SELECT DISTINCT t1.model FROM model_list AS t1 JOIN cars_data AS t2 ON t1.model = t2.id WHERE t1.maker!= "Ford Motor Company" AND t2.weight < 3500
|
| 111 |
+
SELECT DISTINCT t1.model FROM model_list AS t1 JOIN cars_data AS t2 ON t1.model = t2.id WHERE t1.maker!= "Ford" AND t2.weight < 3500
|
| 112 |
+
SELECT T1.Countryid, T1.CountryName FROM countries AS T1 JOIN car_makers AS T2 ON T1.Countryid = T2.Countryid GROUP BY T1.CountryName HAVING count(*) > 3 UNION SELECT T1.Countryid, T1.CountryName FROM countries AS T1 JOIN car_makers AS T2 ON T1.Countryid = T2.Countryid WHERE T2.Maker = 'Fiat'
|
| 113 |
+
SELECT T1.id, T1.countryid FROM countries AS T1 JOIN car_makers AS T2 ON T1.countryid = T2.countryid GROUP BY T1.countryid HAVING count(*) > 3 UNION SELECT T3.id, T3.countryid FROM countries AS T3 JOIN model_list AS T4 ON T3.countryid = T4.countryid JOIN car_names AS T5 ON T4.model = T5.model WHERE T5.make = 'fiat'
|
| 114 |
+
SELECT Country FROM airlines WHERE Abbreviation = "JetBlue Airways"
|
| 115 |
+
SELECT Country FROM airlines WHERE Abbreviation = "Jetblue Airways"
|
| 116 |
+
SELECT abbreviation FROM airlines WHERE airline = "JetBlue Airways"
|
| 117 |
+
SELECT abbreviation FROM airlines WHERE airline = "Jetblue Airways"
|
| 118 |
+
SELECT Airline, Abbreviation FROM airlines WHERE Country = "USA"
|
| 119 |
+
SELECT Airline, Abbreviation FROM airlines WHERE Country = "USA"
|
| 120 |
+
SELECT AirportCode, AirportName FROM airports WHERE City = "Anthony"
|
| 121 |
+
SELECT T1.AirportCode, T1.AirportName FROM airports AS T1 JOIN flights AS T2 ON T1.AirportCode = T2.SourceAirport WHERE T2.Airline = "Anthony"
|
| 122 |
+
SELECT Airline FROM airlines WHERE Abbreviation = "UAL"
|
| 123 |
+
SELECT Airline FROM airlines WHERE Abbreviation = "UAL"
|
| 124 |
+
SELECT count(*) FROM airlines WHERE country = 'USA'
|
| 125 |
+
SELECT count(*) FROM airlines WHERE country = 'USA'
|
| 126 |
+
SELECT Abbrev FROM airlines WHERE country = 'AK'
|
| 127 |
+
SELECT abbreviation FROM airlines WHERE country = 'Afghanistan'
|
| 128 |
+
SELECT AirportName FROM airports WHERE City = "Aberdeen"
|
| 129 |
+
SELECT AirportName FROM airports WHERE City = "Aberdeen"
|
| 130 |
+
SELECT count(*) FROM flights WHERE SourceAirport = "APG"
|
| 131 |
+
SELECT count(*) FROM flights WHERE SourceAirport = 'APG'
|
| 132 |
+
SELECT count(*) FROM flights WHERE SourceAirport = "ATO"
|
| 133 |
+
SELECT count(*) FROM flights WHERE SourceAirport = "ATO"
|
| 134 |
+
SELECT count(*) FROM flights WHERE sourceairport = "Aberdeen"
|
| 135 |
+
SELECT count(*) FROM flights WHERE SourceAirport = "ABERDEEN"
|
| 136 |
+
SELECT count(*) FROM flights WHERE SourceAirport = "Aberdeen"
|
| 137 |
+
SELECT count(*) FROM flights WHERE SourceAirport = "ABERDEEN"
|
| 138 |
+
SELECT count(*) FROM flights WHERE sourceairport = 'Aberdeen' INTERSECT SELECT count(*) FROM flights WHERE destairport = 'Ashley'
|
| 139 |
+
SELECT count(*) FROM flights WHERE SourceAirport = "Aberdeen" AND DestAirport = "Ashley"
|
| 140 |
+
SELECT count(*) FROM flights WHERE airline = "JetBlue Airways"
|
| 141 |
+
SELECT count(*) FROM airlines AS T1 JOIN flights AS T2 ON T1.abbr = T2.airline WHERE T1.country = "Jetblue Airways"
|
| 142 |
+
SELECT count(*) FROM airlines AS T1 JOIN flights AS T2 ON T1.abbr = T2.Aline WHERE T1.country = "United States" AND T2.destairport = "ASY"
|
| 143 |
+
SELECT count(*) FROM flights WHERE sourceairport = "ASY" AND airline = "United Airlines"
|
| 144 |
+
SELECT count(*) FROM flights WHERE sourceairport = "AHD" AND airline = "United Airlines"
|
| 145 |
+
SELECT count(*) FROM flights WHERE sourceairport = 'AHD' AND airline = 'United'
|
| 146 |
+
SELECT count(*) FROM flights WHERE destairport = "Aberdeen" AND airline = "United Airlines"
|
| 147 |
+
SELECT count(*) FROM flights WHERE sourceairport = "Aberdeen" AND airline = "United Airlines"
|
| 148 |
+
SELECT T1.Airline FROM airlines AS T1 JOIN flights AS T2 ON T1.uid = T2.Airline WHERE T2.sourceairport = 'ADH'
|
| 149 |
+
SELECT T1.Airline FROM airlines AS T1 JOIN flights AS T2 ON T1.uid = T2.airline WHERE T2.sourceairport = 'AHD'
|
| 150 |
+
SELECT T1.Airline FROM airlines AS T1 JOIN flights AS T2 ON T1.Airline = T2.Airline WHERE T2.SourceAirport = "AHD"
|
| 151 |
+
SELECT DISTINCT T1.Airline FROM airlines AS T1 JOIN flights AS T2 ON T1.uid = T2.Airline WHERE T2.destairport = 'AFH'
|
| 152 |
+
SELECT T1.Airline FROM airlines AS T1 JOIN flights AS T2 ON T1.Airline = T2.Airline WHERE T2.SourceAirport = "APG" INTERSECT SELECT T1.Airline FROM airlines AS T1 JOIN flights AS T2 ON T1.Airline = T2.Airline WHERE T2.DestAirport = "CVO"
|
| 153 |
+
SELECT T1.Airline FROM airlines AS T1 JOIN flights AS T2 ON T1.Airline = T2.Airline WHERE T2.sourceairport = "APG" INTERSECT SELECT T1.Airline FROM airlines AS T1 JOIN flights AS T2 ON T1.Airline = T2.Airline WHERE T2.destairport = "CVO"
|
| 154 |
+
SELECT T1.Airline FROM airlines AS T1 JOIN flights AS T2 ON T1.AirportAbbrev = T2.SourceAirport WHERE T1.AirportAbbrev = 'CVO' EXCEPT SELECT T1.Airline FROM airlines AS T1 JOIN flights AS T2 ON T1.AirportAbbrev = T2.SourceAirport WHERE T1.AirportAbbrev = 'APG'
|
| 155 |
+
SELECT T1.Airline FROM airlines AS T1 JOIN flights AS T2 ON T1.Airline = T2.Airline WHERE T2.SourceAirport = "CVO" EXCEPT SELECT T1.Airline FROM airlines AS T1 JOIN flights AS T2 ON T1.Airline = T2.Airline WHERE T2.SourceAirport = "APG"
|
| 156 |
+
SELECT T1.FlightNo FROM flights AS T1 JOIN airlines AS T2 ON T1.Airline = T2.Airline WHERE T2.Abbreviation = "United Airlines"
|
| 157 |
+
SELECT FlightNo FROM flights WHERE Airline = "United Airlines"
|
| 158 |
+
SELECT FlightNo FROM flights WHERE SourceAirport = "APG"
|
| 159 |
+
SELECT T1 FlightNo FROM flights WHERE SourceAirport = "APG"
|
| 160 |
+
SELECT T1.FlightNo FROM flights AS T1 JOIN airports AS T2 ON T1.destairport = T2.airportcode WHERE T2.country = 'APG'
|
| 161 |
+
SELECT T1.FlightNo FROM flights AS T1 JOIN airports AS T2 ON T1.destairport = T2.airportcode WHERE T2.country = 'APG'
|
| 162 |
+
SELECT T1.FlightNo FROM flights AS T1 JOIN airports AS T2 ON T1.destairport = T2.airportcode WHERE T2.country = "Scotland" AND T1.sourceairport = "Aberdeen"
|
| 163 |
+
SELECT T1 FlightNo FROM flights WHERE SourceAirport = "ABERDEEN"
|
| 164 |
+
SELECT T1.FlightNo FROM flights AS T1 JOIN airports AS T2 ON T1.destairport = T2.airportcode WHERE T2.city = 'Aberdeen'
|
| 165 |
+
SELECT T1.FlightNo FROM flights AS T1 JOIN airports AS T2 ON T1.destairport = T2.airportcode WHERE T2.city = 'Aberdeen'
|
| 166 |
+
SELECT count(*) FROM flights WHERE destairport = "Aberdeen" OR sourceairport = "Abilene"
|
| 167 |
+
SELECT count(*) FROM flights WHERE DestAirport = "Aberdeen" OR SourceAirport = "Abilene"
|
| 168 |
+
SELECT AirportName FROM airports WHERE AirportCode NOT IN (SELECT SourceAirport FROM flights)
|
| 169 |
+
SELECT AirportCode FROM airports WHERE AirportName NOT IN (SELECT SourceAirport FROM flights UNION SELECT DestAirport FROM flights)
|
| 170 |
+
SELECT name FROM employee ORDER BY age
|
| 171 |
+
SELECT name FROM employee ORDER BY age
|
| 172 |
+
SELECT city FROM employee WHERE age < 30 GROUP BY city HAVING count(*) > 1
|
| 173 |
+
SELECT city FROM employee WHERE age < 30 GROUP BY city HAVING count(*) > 1
|
| 174 |
+
SELECT count(*), LOCATION FROM shop GROUP BY LOCATION
|
| 175 |
+
SELECT count(*), LOCATION FROM shop GROUP BY LOCATION
|
| 176 |
+
SELECT manager_name, district FROM shop ORDER BY Number_products DESC LIMIT 1
|
| 177 |
+
SELECT manager_name, district FROM shop ORDER BY Number_products DESC LIMIT 1
|
| 178 |
+
SELECT name, LOCATION, district FROM shop ORDER BY Number_products DESC
|
| 179 |
+
SELECT name, LOCATION, district FROM shop ORDER BY Number_products DESC
|
| 180 |
+
SELECT name FROM shop WHERE number_products > (SELECT avg(number_products) FROM shop)
|
| 181 |
+
SELECT name FROM shop WHERE number_products > (SELECT avg(number_products) FROM shop)
|
| 182 |
+
SELECT t1.name FROM employee AS t1 JOIN evaluation AS t2 ON t1.employee_id = t2.employee_id ORDER BY t2.bonus DESC LIMIT 1
|
| 183 |
+
SELECT t1.name FROM employee AS t1 JOIN evaluation AS t2 ON t1.employee_id = t2.employee_id ORDER BY t2.bonus DESC LIMIT 1
|
| 184 |
+
SELECT t1.name FROM shop AS t1 JOIN hiring AS t2 ON t1.shop_id = t2.shop_id GROUP BY t1.name ORDER BY count(*) DESC LIMIT 1
|
| 185 |
+
SELECT name FROM shop ORDER BY number_products DESC LIMIT 1
|
| 186 |
+
SELECT name FROM shop WHERE shop_id NOT IN (SELECT shop_id FROM hiring)
|
| 187 |
+
SELECT name FROM shop WHERE shop_id NOT IN (SELECT shop_id FROM hiring)
|
| 188 |
+
SELECT district FROM shop WHERE number_products < 3000 INTERSECT SELECT district FROM shop WHERE number_products > 10000
|
| 189 |
+
SELECT district FROM shop WHERE number_products < 3000 INTERSECT SELECT district FROM shop WHERE number_products > 10000
|
| 190 |
+
SELECT Name FROM teacher ORDER BY Age DESC
|
| 191 |
+
SELECT Name FROM teacher ORDER BY Age DESC
|
| 192 |
+
SELECT Name FROM teacher WHERE Hometown!= 'Little Lever Urban District'
|
| 193 |
+
SELECT Name FROM teacher WHERE Hometown!= 'Little Lever Urban District'
|
| 194 |
+
SELECT Name FROM teacher WHERE Age = 32 OR Age = 33
|
| 195 |
+
SELECT Name FROM teacher WHERE Age = 32 OR Age = 33
|
| 196 |
+
SELECT Hometown FROM teacher ORDER BY Age DESC LIMIT 1
|
| 197 |
+
SELECT Hometown FROM teacher ORDER BY Age ASC LIMIT 1
|
| 198 |
+
SELECT Hometown, COUNT(*) FROM teacher GROUP BY Hometown
|
| 199 |
+
SELECT count(*), T2.Name FROM course AS T1 JOIN teacher AS T2 ON T1.Course_ID = T2.Teacher_ID GROUP BY T2.Name
|
| 200 |
+
SELECT Hometown FROM teacher GROUP BY Hometown ORDER BY COUNT(*) DESC LIMIT 1
|
| 201 |
+
SELECT Hometown FROM teacher GROUP BY Hometown HAVING COUNT(*) >= 2
|
| 202 |
+
SELECT T2.Name FROM course_arrange AS T1 JOIN teacher AS T2 ON T1.Teacher_ID = T2.Teacher_ID WHERE T1.Course_ID = 1
|
| 203 |
+
SELECT Name FROM teacher WHERE Name LIKE "%math%"
|
| 204 |
+
SELECT Name FROM teacher EXCEPT SELECT T2.Name FROM course AS T1 JOIN teacher AS T2 ON T1.Teacher_ID = T2.Teacher_ID
|
| 205 |
+
SELECT Name FROM teacher EXCEPT SELECT T2.Name FROM course AS T1 JOIN teacher AS T2 ON T1.Teacher_ID = T2.Teacher_ID
|
| 206 |
+
SELECT count(*) FROM visitor WHERE age < 30
|
| 207 |
+
SELECT name FROM visitor WHERE LEVEL_of_membership > 4 ORDER BY LEVEL_of_membership
|
| 208 |
+
SELECT avg(age) FROM visitor WHERE age < 4
|
| 209 |
+
SELECT museum_id, name FROM museum ORDER BY num_of_staff DESC LIMIT 1
|
| 210 |
+
SELECT avg(Num_of_Staff) FROM museum WHERE Open_Year < 2009
|
| 211 |
+
SELECT Open_Year, Num_of_Staff FROM museum WHERE Name = 'Plaza Museum'
|
| 212 |
+
SELECT name FROM museum WHERE num_of_staff (SELECT min(num_of_staff) FROM museum WHERE open_year > 2010)
|
| 213 |
+
SELECT T1.id, T1.name, T1.age FROM visitor AS T1 JOIN visit AS T2 ON T1.id = T2.visitor_id GROUP BY T1.id HAVING count(*) > 1
|
| 214 |
+
SELECT T1.ID, T1.Name, T1.Membership_Level FROM museum AS T1 JOIN visit AS T2 ON T1.Museum_ID = T2.Museum_ID WHERE T2.Total_spent = (SELECT max(total_spent) FROM visit)
|
| 215 |
+
SELECT T1.Museum_ID, T1.Name FROM museum AS T1 JOIN visit AS T2 ON T1.Museum_ID = T2.Museum_ID GROUP BY T1.Museum_ID ORDER BY count(*) DESC LIMIT 1
|
| 216 |
+
SELECT name FROM museum WHERE museum_id NOT IN (SELECT museum_id FROM visit)
|
| 217 |
+
SELECT T1.name, T1.age FROM visitor AS T1 JOIN visit AS T2 ON T1.id = T2.visitor_id GROUP BY T1.id ORDER BY sum(T2.num_of_ticket) DESC LIMIT 1
|
| 218 |
+
SELECT sum(T2.Num_of_Ticket) FROM visitor AS T1 JOIN visit AS T2 ON T1.ID = T2.visitor_ID WHERE T1.level_of_membership = "1"
|
| 219 |
+
SELECT first_name, birth_date FROM players WHERE country_code = 'USA'
|
| 220 |
+
SELECT first_name, birth_date FROM players WHERE country_code = 'USA'
|
| 221 |
+
SELECT tourney_name FROM matches GROUP BY tourney_name HAVING count(*) > 10
|
| 222 |
+
SELECT tourney_name FROM matches GROUP BY tourney_name HAVING count(*) > 10
|
| 223 |
+
SELECT winner_name FROM matches WHERE year = 2013 INTERSECT SELECT winner_name FROM matches WHERE year = 2016
|
| 224 |
+
SELECT T1.first_name FROM players AS T1 JOIN matches AS T2 ON T1.player_id = T2.winner_id WHERE T2.year = 2013 INTERSECT SELECT T1.first_name FROM players AS T1 JOIN matches AS T2 ON T1.player_id = T2.winner_id WHERE T2.year = 2016
|
| 225 |
+
SELECT count(*) FROM matches WHERE YEAR = 2013 OR YEAR = 2016
|
| 226 |
+
SELECT count(*) FROM matches WHERE YEAR = 2013 OR YEAR = 2016
|
| 227 |
+
SELECT T1.country_code, T2.first_name FROM players AS T1 JOIN matches AS T2 ON T1.player_id = T2.winner_id WHERE T2.tourney_name = 'WTA Championships' INTERSECT SELECT T1.country_code, T2.first_name FROM players AS T1 JOIN matches AS T2 ON T1.player_id = T2.winner_id WHERE T2.tourney_name = 'Australian Open'
|
| 228 |
+
{"sql": "SELECT T1.first_name, T1.country_code FROM players AS T1 JOIN matches AS T2 ON T1.player_id = T2.winner_id WHERE T2.tourney_name = 'WTA Championships' INTERSECT SELECT T1.first_name, T1.country_code FROM players AS T1 JOIN matches AS T2 ON T1.player_id = T2.winner_id WHERE T2.tourney_name = 'Australian Open""}
|
| 229 |
+
SELECT first_name, country_code FROM players ORDER BY birth_date LIMIT 1
|
| 230 |
+
SELECT first_name, country_code FROM players ORDER BY birth_date LIMIT 1
|
| 231 |
+
SELECT first_name, last_name FROM players ORDER BY birth_date
|
| 232 |
+
SELECT first_name, last_name FROM players ORDER BY birth_date
|
| 233 |
+
SELECT first_name, last_name FROM players WHERE hand = "left" ORDER BY birth_date
|
| 234 |
+
SELECT first_name, last_name FROM players WHERE hand = "left" ORDER BY birth_date
|
| 235 |
+
SELECT T1.first_name, T1.last_name, T1.winner_rank_points FROM players AS T1 JOIN matches AS T2 ON T1.player_id = T2.winner_id GROUP BY T1.player_id ORDER BY count(*) DESC LIMIT 1
|
| 236 |
+
SELECT T1.first_name, T1.last_name FROM players AS T1 JOIN matches AS T2 ON T1.player_id = T2.winner_id GROUP BY T1.player_id ORDER BY count(*) DESC LIMIT 1
|
| 237 |
+
SELECT T1.winner_name FROM players AS T1 JOIN matches AS T2 ON T1.player_id = T2.winner_id JOIN rankings AS T3 ON T1.player_id = T3.player_id WHERE T2.tourney_name = "Australian Open" ORDER BY T3.ranking_points, T3.winner_rank DESC LIMIT 1
|
| 238 |
+
SELECT T1.winner_name FROM players AS T1 JOIN matches AS T2 ON T1.player_id = T2.winner_id JOIN rankings AS T3 ON T1.player_id = T3.player_id WHERE T2.tourney_name = "Australian Open" ORDER BY T3.ranking_points DESC LIMIT 1
|
| 239 |
+
SELECT loser_name, winner_name FROM matches ORDER BY minutes DESC LIMIT 1
|
| 240 |
+
SELECT T1.loser_name, T1.loser_id FROM matches AS T1 JOIN players AS T2 ON T1.loser_id = T2.player_id ORDER BY T1.match_num DESC LIMIT 1
|
| 241 |
+
SELECT count(*), country_code FROM players GROUP BY country_code
|
| 242 |
+
SELECT country_code, count(*) FROM players GROUP BY country_code
|
| 243 |
+
SELECT country_code FROM players GROUP BY country_code ORDER BY count(*) DESC LIMIT 1
|
| 244 |
+
SELECT country_code FROM players GROUP BY country_code ORDER BY count(*) DESC LIMIT 1
|
| 245 |
+
SELECT country_code FROM players GROUP BY country_code HAVING count(*) > 50
|
| 246 |
+
SELECT country_code FROM players GROUP BY country_code HAVING count(*) > 50
|
| 247 |
+
SELECT T1.first_name, T1.last_name FROM players AS T1 JOIN matches AS T2 ON T1.player_id = T2.loser_id ORDER BY T2.loser_age LIMIT 3
|
| 248 |
+
SELECT T1.first_name, T1.last_name FROM players AS T1 JOIN matches AS T2 ON T1.player_id = T2.loser_id ORDER BY T2.loser_age LIMIT 3
|
| 249 |
+
SELECT count(*) FROM players WHERE country_code = "TBA" AND hand = "lefty" AND tourney_name = "WTA Championships"
|
| 250 |
+
SELECT count(*) FROM matches AS T1 JOIN players AS T2 ON T1.loser_hand = T2.player_id WHERE T1.tourney_name = "WTA Championships" AND T2.hand = "left"
|
| 251 |
+
SELECT count(*) FROM ship WHERE disposition_of_ship = 'Captured'
|
| 252 |
+
SELECT T1.id, T1.name FROM battle AS T1 JOIN death AS T2 ON T1.id = T2.caused_by_ship_id GROUP BY T1.id HAVING count(*) > 10
|
| 253 |
+
SELECT caused_by_ship_id, T1.id FROM death AS T1 JOIN ship AS T2 ON T1.caused_by_ship_id = T2.id GROUP BY T1.caused_by_ship_id ORDER BY sum(injured) DESC LIMIT 1
|
| 254 |
+
{"sql": "SELECT T1.name, T1.date FROM battle AS T1 JOIN ship AS T2 ON T1.lost_in_battle = T2.id JOIN death AS T3 ON T2.id = T3.caused_by_ship_id WHERE T2.name = "Lettice" AND T3.name = "HMS Atalanta""}
|
| 255 |
+
SELECT bulgarian_commander, result FROM battle WHERE id NOT IN (SELECT id FROM ship WHERE lost_in_battle = 'English Channel')
|
| 256 |
+
SELECT course_description FROM Courses WHERE course_name LIKE '%math%'
|
| 257 |
+
SELECT course_description FROM Courses WHERE department_name = "Math"
|
| 258 |
+
SELECT zip_postcode FROM Addresses WHERE city = "Port Chelsea"
|
| 259 |
+
SELECT zip_postcode FROM addresses WHERE city = "Port Chelsea"
|
| 260 |
+
SELECT DISTINCT T1.last_name FROM addresses AS T1 JOIN students AS T2 ON T1.address_id = T2.current_address_id WHERE T1.state_province_county = "North Carolina" EXCEPT SELECT T1.last_name FROM addresses AS T1 JOIN students AS T2 ON T1.address_id = T2.current_address_id JOIN student_enrolment AS T3 ON T2.student_id = T3.student_id
|
| 261 |
+
SELECT DISTINCT T1.last_name FROM addresses AS T1 JOIN students AS T2 ON T1.address_id = T2.permanent_address_id WHERE T1.state_province_county = "North" AND T2.date_left = "null"
|
| 262 |
+
SELECT cell_mobile_number FROM Students WHERE first_name = "Timmothy" AND last_name = "Ward";
|
| 263 |
+
SELECT cell_mobile_number FROM Students WHERE first_name = "Timmothy" AND last_name = "Ward";
|
| 264 |
+
SELECT first_name, middle_name, last_name FROM Students ORDER BY date_first_registered ASC
|
| 265 |
+
SELECT T1.first_name, T1.middle_name, T1.last_name FROM Students AS T1 JOIN Addresses AS T2 ON T1.current_address_id = T2.address_id WHERE T1.date_first_registered = (SELECT min(date_first_registered) FROM Students)
|
| 266 |
+
SELECT first_name, middle_name, last_name FROM Students ORDER BY date_first_registered ASC LIMIT 1
|
| 267 |
+
SELECT T1.current_address_id FROM Students AS T1 JOIN Addresses AS T2 ON T1.current_address_id = T2.address_id GROUP BY T1.current_address_id ORDER BY count(*) DESC LIMIT 1
|
| 268 |
+
SELECT T1.id, T1.line_1, T1.line_2 FROM Addresses AS T1 JOIN Students AS T2 ON T1.address_id = T2.permanent_address_id GROUP BY T1.address_id ORDER BY count(*) DESC LIMIT 1
|
| 269 |
+
SELECT T1.semester_name FROM Semesters AS T1 JOIN Student_Enrolment AS T2 ON T1.semester_id = T2.semester_id JOIN Students AS T3 ON T2.student_id = T3.student_id WHERE T3.degree_program_id = 1 INTERSECT SELECT T1.semester_name FROM Semesters AS T1 JOIN Student_Enrolment AS T2 ON T1.semester_id = T2.semester_id JOIN Students AS T3 ON T2.student_id = T3.student_id WHERE T3.degree_program_id = 2
|
| 270 |
+
SELECT T1.semester_id FROM Semesters AS T1 JOIN Student_Enrolment AS T2 ON T1.semester_id = T2.semester_id WHERE T2.degree_program_id = 1 INTERSECT SELECT T1.semester_id FROM Semesters AS T1 JOIN Student_Enrolment AS T2 ON T1.semester_id = T2.semester_id WHERE T2.degree_program_id = 2
|
| 271 |
+
SELECT DISTINCT first_name FROM students WHERE cell_mobile_number LIKE "09700166582" OR current_address_id IN (SELECT permanent_address_id FROM addresses WHERE country = "Haiti")
|
| 272 |
+
SELECT first_name FROM students WHERE cell_mobile_number LIKE 09700166582 OR current_address_id IN (SELECT permanent_address_id FROM addresses WHERE country = 'Haiti')
|
| 273 |
+
SELECT Title FROM Cartoon ORDER BY Title
|
| 274 |
+
SELECT Title FROM Cartoon ORDER BY Title
|
| 275 |
+
SELECT DISTINCT directed_by FROM cartoon WHERE title = "Ben Jones"
|
| 276 |
+
SELECT Title FROM Cartoon WHERE Directed_by = "Ben Jones"
|
| 277 |
+
SELECT count(*) FROM Cartoon WHERE Written_by = "Joseph Kuhr"
|
| 278 |
+
SELECT count(*) FROM Cartoon AS T1 JOIN Written_by AS T2 ON T1.id = T2.id WHERE T2.Written_by = "Joseph Kuh"
|
| 279 |
+
SELECT title, directed_by FROM cartoon ORDER BY Original_air_date
|
| 280 |
+
SELECT title, directed_by FROM cartoon ORDER BY Original_air_date
|
| 281 |
+
SELECT title FROM Cartoon WHERE directed_by = "Ben Jones" OR directed_by = "Brandon Vietti"
|
| 282 |
+
SELECT Title FROM Cartoon WHERE Directed_by = "Ben Jones" OR Directed_by = "Brandon Vietti"
|
| 283 |
+
SELECT Country, count(*) FROM TV_channel GROUP BY Country ORDER BY count(*) DESC LIMIT 1
|
| 284 |
+
SELECT country, count(*) FROM TV_channel GROUP BY country ORDER BY count(*) DESC LIMIT 1
|
| 285 |
+
SELECT content FROM TV_channel WHERE series_name = "Sky Radio"
|
| 286 |
+
SELECT Content FROM TV_channel WHERE Channel = "Sky Radio"
|
| 287 |
+
SELECT Package_Option FROM TV_channel WHERE Channel = "Sky Radio"
|
| 288 |
+
SELECT count(*) FROM TV_channel WHERE language = 'english'
|
| 289 |
+
SELECT count(*) FROM TV_Channel WHERE Language = "english"
|
| 290 |
+
SELECT T2.series_name FROM cartoon AS T1 JOIN TV_channel AS T2 ON T1.channel = T2.id WHERE T1.title = "The Rise of the Blue Beetle!"
|
| 291 |
+
SELECT T2.series_name FROM cartoon AS T1 JOIN TV_channel AS T2 ON T1.channel = T2.id WHERE T1.title = "The Rise of the Blue Beetle"
|
| 292 |
+
{"sql": "SELECT T1.title FROM cartoon AS T1 JOIN TV_channel AS T2 ON T1.channel = T2.id WHERE T2.series_name = ""Sky Radio"""}
|
| 293 |
+
SELECT T2.title FROM tv_channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.channel WHERE T1.country = "UK" AND T1.name = "Sky Radio"
|
| 294 |
+
SELECT Air_Date FROM TV_series WHERE Title = "A Love of a Lifetime"
|
| 295 |
+
SELECT Air_Date FROM TV_series WHERE Title = "A Love of a Lifetime"
|
| 296 |
+
SELECT Weekly_Rank FROM TV_series WHERE Content = "A Love of a Lifetime"
|
| 297 |
+
SELECT Weekly_Rank FROM TV_series WHERE Title = "A Love of a Lifetime"
|
| 298 |
+
{"sql": "SELECT T1.series_name FROM TV_channel AS T1 JOIN tv_series AS T2 ON T1.id = T2.channel_name WHERE T2.title = ""A Love of a Lifetime"""}
|
| 299 |
+
SELECT series_name FROM TV_series WHERE series_name LIKE "%A Love of a Lifetime%"
|
| 300 |
+
{"sql": "SELECT T1.episode FROM TV_series AS T1 JOIN TV_channel AS T2 ON T1.channel = T2.id WHERE T2.name = ""Sky Radio"""}
|
| 301 |
+
SELECT Episode FROM TV_series WHERE Channel = "Sky Radio"
|
| 302 |
+
SELECT count(*), directed_by FROM Cartoon GROUP BY directed_by
|
| 303 |
+
SELECT count(*), directed_by FROM Cartoon GROUP BY directed_by
|
| 304 |
+
SELECT production_code, Channel FROM Cartoon ORDER BY Air_Date DESC LIMIT 1
|
| 305 |
+
SELECT production_code, Channel FROM cartoon ORDER BY Original_air_date DESC LIMIT 1
|
| 306 |
+
SELECT T2.package_option, T1.series_name FROM TV_channel AS T1 JOIN TV_series AS T2 ON T1.id = T2.id WHERE T1.hight_definition_TV = 'Yes'
|
| 307 |
+
SELECT T1.Package_Option, T2.series_name FROM TV_channel AS T1 JOIN TV_series AS T2 ON T1.id = T2.channel WHERE T1.Hight_definition_TV = 'Yes'
|
| 308 |
+
SELECT T2.Country FROM Cartoon AS T1 JOIN TV_Channel AS T2 ON T1.Channel = T2.id WHERE T1.Title = "Todd Casey"
|
| 309 |
+
SELECT T2.Country FROM Cartoon AS T1 JOIN TV_channel AS T2 ON T1.channel = T2.id WHERE T1.written_by = "Todd Casey"
|
| 310 |
+
SELECT Country FROM TV_channel EXCEPT SELECT T1.Country FROM TV_channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.channel WHERE T2.title = "Todd Casey"
|
| 311 |
+
SELECT country FROM cartoon EXCEPT SELECT T2.Country FROM cartoon AS T1 JOIN TV_channel AS T2 ON T1.channel = T2.id WHERE T1_written_by = "Todd Casey"
|
| 312 |
+
SELECT T2.series_name, T2.Country FROM Cartoon AS T1 JOIN TV_channel AS T2 ON T1.channel = T2.id WHERE T1.directed_by = "Ben Jones" INTERSECT SELECT T2.series_name, T2.Country FROM Cartoon AS T1 JOIN TV_channel AS T2 ON T1.channel = T2.id WHERE T1.directed_by = "Michael Chang"
|
| 313 |
+
SELECT T2.series_name, T2.Country FROM Cartoon AS T1 JOIN TV_Channel AS T2 ON T1.Channel = T2.id WHERE T1.Directed_by = "Ben Jones" INTERSECT SELECT T2.series_name, T2.Country FROM Cartoon AS T1 JOIN TV_Channel AS T2 ON T1.Channel = T2.id WHERE T1.Directed_by = "Michael Chang"
|
| 314 |
+
SELECT DISTINCT country, pixel_aspect_ratio PAR FROM tv_channel WHERE language!= 'english'
|
| 315 |
+
SELECT pixel_aspect_ratio PAR, Country FROM TV_Channel WHERE Language!= "english"
|
| 316 |
+
SELECT id FROM TV_channel GROUP BY Country HAVING count(*) > 2
|
| 317 |
+
SELECT id FROM TV_channel EXCEPT SELECT T1.id FROM TV_channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.channel WHERE T2.directed_by = "Ben Jones"
|
| 318 |
+
SELECT id FROM TV_channel EXCEPT SELECT T1.id FROM TV_channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.channel WHERE T2.directed_by = "Ben Jones"
|
| 319 |
+
SELECT package_option FROM TV_channel EXCEPT SELECT T1.package_option FROM TV_channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.channel WHERE T2.directed_by = "Ben Jones"
|
| 320 |
+
SELECT DISTINCT T1.Package_Option FROM TV_Channel AS T1 JOIN Cartoon AS T2 ON T1.id = T2.Channel WHERE T2.Directed_by!= "Ben Jones"
|
| 321 |
+
SELECT Money_Rank FROM poker_player ORDER BY Final_Table_Made DESC
|
| 322 |
+
SELECT T2.Money_Rank FROM people AS T1 JOIN poker_player AS T2 ON T1.People_ID = T2.People_ID ORDER BY T1.Height DESC LIMIT 1
|
| 323 |
+
SELECT Money_Rank FROM poker_player ORDER BY Height DESC LIMIT 1
|
| 324 |
+
SELECT avg(Earnings) FROM poker_player WHERE Height > 200
|
| 325 |
+
SELECT avg(Earnings) FROM poker_player WHERE Height > 200
|
| 326 |
+
SELECT Nationality, COUNT(*) FROM people GROUP BY Nationality
|
| 327 |
+
SELECT Nationality, COUNT(*) FROM people GROUP BY Nationality
|
| 328 |
+
SELECT T1.Nationality FROM people AS T1 JOIN poker_player AS T2 ON T1.People_ID = T2.People_ID GROUP BY T1.Nationality HAVING COUNT(*) >= 2
|
| 329 |
+
SELECT Name FROM people WHERE Nationality!= "Russia"
|
| 330 |
+
SELECT Name FROM people WHERE Nationality!= "Russia"
|
| 331 |
+
SELECT created FROM votes WHERE state = "CA"
|
| 332 |
+
SELECT count(*) FROM votes WHERE state = 'NY' OR state = 'CA'
|
| 333 |
+
SELECT T1.created, T2.state, T1.phone_number FROM VOTES AS T1 JOIN AREA_CODE_STATE AS T2 ON T1.state = T2.state JOIN CONTESTANTS AS T3 ON T1.contestant_number = T3.contestant_number WHERE T3.contestant_name = 'Tabatha Gehling'
|
| 334 |
+
SELECT area_code_state.state FROM votes AS T1 JOIN contestants AS T2 ON T1.contestant_number = T2.contestant_number WHERE T2.contestant_name = 'Tabatha Gehling' INTERSECT SELECT area_code_state.state FROM votes AS T1 JOIN contestants AS T2 ON T1.contestant_number = T2.contestant_number WHERE T2.contestant_name = 'Kelly Clauss'
|
| 335 |
+
SELECT Name FROM country WHERE IndepYear > 1950
|
| 336 |
+
SELECT Name FROM country WHERE IndepYear > 1950
|
| 337 |
+
SELECT count(*) FROM country WHERE Continent = 'Europe'
|
| 338 |
+
SELECT count(*) FROM country WHERE Continent = "Africa"
|
| 339 |
+
SELECT sum(surfacearea) FROM country WHERE continent = 'Caribbean'
|
| 340 |
+
SELECT sum(surfacearea) FROM country WHERE continent = 'Caribbean'
|
| 341 |
+
SELECT Continent FROM country WHERE Name = "Anguilla"
|
| 342 |
+
SELECT Continent FROM country WHERE Name = "Anguilla"
|
| 343 |
+
SELECT Region FROM city WHERE Name = "Kabul"
|
| 344 |
+
SELECT Region FROM city WHERE Name = "Kabul"
|
| 345 |
+
SELECT Language FROM countrylanguage WHERE CountryCode = "AR" ORDER BY Percentage DESC LIMIT 1
|
| 346 |
+
SELECT Language FROM countrylanguage WHERE CountryCode = "AR" ORDER BY Percentage DESC LIMIT 1
|
| 347 |
+
SELECT population, lifeexpectancy FROM country WHERE countrycode = 'BR'
|
| 348 |
+
SELECT population, lifeexpectancy FROM country WHERE countrycode = 'Brazil'
|
| 349 |
+
{"sql": "SELECT region, population FROM city WHERE countrycode = "Angola""}
|
| 350 |
+
SELECT region, population FROM city WHERE countrycode = " Angola";
|
| 351 |
+
SELECT avg(LifeExpectancy) FROM country WHERE Continent = "Africa"
|
| 352 |
+
SELECT avg(LifeExpectancy) FROM country WHERE Continent = "Africa"
|
| 353 |
+
SELECT name FROM country WHERE continent = 'Asia' AND lifeexpectancy = (SELECT min(lifeexpectancy) FROM country WHERE continent = 'Asia')
|
| 354 |
+
SELECT Name FROM country ORDER BY LifeExpectancy LIMIT 1 ASC
|
| 355 |
+
SELECT sum(population), max(gnp) FROM city WHERE continent = 'Asia'
|
| 356 |
+
SELECT max(GNPOld), country.Name FROM country AS T1 JOIN city AS T2 ON T1.Code = T2.CountryCode WHERE T1.Continent = 'Asia' GROUP BY T2.Name
|
| 357 |
+
SELECT avg(LifeExpectancy) FROM country WHERE Continent = 'Africa' AND GovernmentForm = 'Republic'
|
| 358 |
+
SELECT avg(LifeExpectancy) FROM country WHERE Continent = "Africa" AND GovernmentForm = "Republic"
|
| 359 |
+
SELECT sum(surfacearea) FROM country WHERE continent = 'Asia' OR continent = 'Europe'
|
| 360 |
+
SELECT sum(surfacearea) FROM country WHERE Continent = 'Asia' OR Continent = 'Europe'
|
| 361 |
+
SELECT sum(population) FROM city WHERE district = "Gelderland"
|
| 362 |
+
{"sql": "SELECT sum(Population) FROM city WHERE District = "Gelderland""}
|
| 363 |
+
SELECT avg(GNP), avg(Population) FROM country WHERE Continent = 'North America' AND CountryCode = 'USA'
|
| 364 |
+
SELECT avg(GNP), sum(Population) FROM country WHERE CountryCode = "USA"
|
| 365 |
+
SELECT count(DISTINCT governmentform FROM country WHERE continent = 'Africa')
|
| 366 |
+
SELECT count(DISTINCT GovernmentForm) FROM country WHERE Continent = 'Africa'
|
| 367 |
+
SELECT count(*) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.name = "Aruba"
|
| 368 |
+
SELECT count(*) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.name = "Aruba"
|
| 369 |
+
SELECT count(*) FROM countrylanguage WHERE CountryCode = "AF"
|
| 370 |
+
SELECT count(*) FROM countrylanguage WHERE countrycode = "AFG"
|
| 371 |
+
SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode GROUP BY T1.Name ORDER BY count(*) DESC LIMIT 1
|
| 372 |
+
SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode GROUP BY T1.Name ORDER BY count(*) DESC LIMIT 1
|
| 373 |
+
SELECT Continent FROM country WHERE Language = (SELECT Language FROM countrylanguage GROUP BY Language ORDER BY COUNT(*) DESC LIMIT 1)
|
| 374 |
+
SELECT Continent FROM countrylanguage GROUP BY Continent ORDER BY COUNT(*) DESC LIMIT 1
|
| 375 |
+
SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "English" INTERSECT SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "French"
|
| 376 |
+
SELECT t1.Name FROM country AS t1 JOIN countrylanguage AS t2 ON t1.Code = t2.CountryCode WHERE t2.Language = "English" INTERSECT SELECT t1.Name FROM country AS t1 JOIN countrylanguage AS t2 ON t1.Code = t2.CountryCode WHERE t2.Language = "French"
|
| 377 |
+
SELECT Name FROM countrylanguage WHERE IsOfficial = 'Yes' AND Language = "English" INTERSECT SELECT Name FROM countrylanguage WHERE IsOfficial = 'Yes' AND Language = "French"
|
| 378 |
+
SELECT Name FROM countrylanguage WHERE Language = "English" INTERSECT SELECT Name FROM country WHERE Language = "French"
|
| 379 |
+
SELECT count(DISTINCT Continent) FROM countrylanguage WHERE Language = "Chinese"
|
| 380 |
+
SELECT count(*) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Language = "Chinese"
|
| 381 |
+
SELECT DISTINCT region FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.language = "English" OR T1.language = "Dutch"
|
| 382 |
+
SELECT DISTINCT region FROM countrylanguage WHERE language = "Dutch" OR language = "English"
|
| 383 |
+
SELECT Country FROM countrylanguage WHERE Language = "English" OR Language = "Dutch"
|
| 384 |
+
SELECT t1.Language FROM countrylanguage AS t1 JOIN country AS t2 ON t1.CountryCode = t2.Code WHERE t2.Continent = "Asia" GROUP BY t1.Language ORDER BY count(*) DESC LIMIT 1
|
| 385 |
+
SELECT Language FROM countrylanguage WHERE Continent = 'Asia' GROUP BY Language ORDER BY COUNT(*) DESC LIMIT 1
|
| 386 |
+
SELECT Language FROM countrylanguage WHERE CountryCode = "Republic" GROUP BY Language HAVING COUNT(*) = 1
|
| 387 |
+
SELECT Language FROM countrylanguage WHERE CountryCode = "France" GROUP BY Language HAVING COUNT(*) = 1
|
| 388 |
+
SELECT name FROM city WHERE language = 'english' GROUP BY name ORDER BY population DESC LIMIT 1
|
| 389 |
+
SELECT name FROM city WHERE language = 'english' ORDER BY population DESC LIMIT 1
|
| 390 |
+
SELECT name, population, lifeexpectancy FROM country WHERE continent = 'Asia' ORDER BY surfacearea DESC LIMIT 1
|
| 391 |
+
SELECT avg(LifeExpectancy) FROM country WHERE Language!= "English"
|
| 392 |
+
SELECT avg(LifeExpectancy) FROM country WHERE Language!= "English"
|
| 393 |
+
SELECT count(*) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "not English"
|
| 394 |
+
SELECT count(*) FROM city WHERE countrycode NOT IN ( SELECT countrycode FROM countrylanguage WHERE language!= "english")
|
| 395 |
+
SELECT T1.Language FROM countrylanguage AS T1 JOIN country AS T2 ON T1.CountryCode = T2.Code WHERE T2.Name = "Beatrix" AND T1.IsOfficial = 1
|
| 396 |
+
SELECT T1.Language FROM countrylanguage AS T1 JOIN country AS T2 ON T1.CountryCode = T2.Code WHERE T2.HeadOfState = "Beatrix" AND T1.IsOfficial = 1
|
| 397 |
+
SELECT count(DISTINCT T1.Language FROM countrylanguage AS T1 JOIN country AS T2 ON T1.CountryCode = T2.Code WHERE T2.DependentYear < 1930 GROUP BY T1.CountryCode
|
| 398 |
+
SELECT count(DISTINCT Language) FROM countrylanguage WHERE CountryCode < 1930
|
| 399 |
+
SELECT Code FROM country WHERE SurfaceArea > (SELECT min(SurfaceArea) FROM country WHERE Continent = Europe)
|
| 400 |
+
SELECT Code FROM country WHERE SurfaceArea > (SELECT min(SurfaceArea) FROM country WHERE Continent = Europe)
|
| 401 |
+
SELECT Code FROM country WHERE Continent = 'Africa' AND Population < (SELECT min(Population) FROM country WHERE Continent = 'Asia')
|
| 402 |
+
SELECT country FROM country WHERE continent = 'Africa' AND population < (SELECT min(population) FROM country WHERE continent = 'Asia')
|
| 403 |
+
SELECT country FROM country WHERE continent = 'Asia' AND population > (SELECT min(population) FROM country WHERE continent = 'Africa')
|
| 404 |
+
SELECT CountryCode FROM country WHERE Continent = 'Asia' AND Population > (SELECT max(Population) FROM country WHERE Continent = 'Africa')
|
| 405 |
+
SELECT Code FROM country WHERE Language!= "English"
|
| 406 |
+
SELECT Code FROM country WHERE Language!= "English"
|
| 407 |
+
SELECT CountryCode FROM countrylanguage WHERE Language!= "English"
|
| 408 |
+
SELECT CountryCode FROM country WHERE Language!= "English"
|
| 409 |
+
SELECT Code FROM country EXCEPT SELECT Code FROM countrylanguage WHERE Language!= "English" AND CountryCode NOT IN (SELECT CountryCode FROM country WHERE Language = "English")
|
| 410 |
+
SELECT Code FROM country WHERE CountryCode NOT IN (SELECT CountryCode FROM countrylanguage WHERE Language!= "English")
|
| 411 |
+
SELECT DISTINCT t1.name FROM city AS t1 JOIN country AS t2 ON t1.countrycode = t2.code WHERE t2.continent = 'Europe' AND t2.language!= 'English'
|
| 412 |
+
SELECT DISTINCT t1.name FROM city AS t1 JOIN country AS t2 ON t1.countrycode = t2.Code2 WHERE t2.language = "Chinese" AND t2.isofficial = 1 AND t1.countrycode = "Asia"
|
| 413 |
+
SELECT DISTINCT t1.name FROM city AS t1 JOIN country AS t2 ON t1.countrycode = t2.code WHERE t2.region = 'Asia' AND t2.language = "Chinese" AND t2.isofficial = 1
|
| 414 |
+
SELECT name, indepyear, surfacearea FROM country ORDER BY count(*) LIMIT 1
|
| 415 |
+
SELECT name, indepyear, surfacearea FROM country ORDER BY population ASC LIMIT 1;
|
| 416 |
+
SELECT population, name, leader FROM city ORDER BY surfacearea DESC LIMIT 1
|
| 417 |
+
SELECT district, count(*) FROM city GROUP BY district HAVING count(*) > (SELECT avg(population) FROM city) GROUP BY district
|
| 418 |
+
SELECT district, count(*) FROM city GROUP BY district HAVING count(*) > (SELECT avg(population) FROM city) GROUP BY district
|
| 419 |
+
SELECT name, surfacearea FROM country ORDER BY surfacearea DESC LIMIT 5
|
| 420 |
+
SELECT name FROM country ORDER BY population DESC LIMIT 3
|
| 421 |
+
SELECT Name FROM country ORDER BY Population DESC LIMIT 3
|
| 422 |
+
SELECT name FROM country ORDER BY Population ASC LIMIT 3
|
| 423 |
+
SELECT name FROM country ORDER BY population ASC LIMIT 3
|
| 424 |
+
SELECT count(*) FROM country WHERE Continent = 'Asia'
|
| 425 |
+
SELECT count(*) FROM country WHERE Continent = 'Asia'
|
| 426 |
+
SELECT Name FROM country WHERE Continent = 'Europe' AND Population = 80000
|
| 427 |
+
SELECT Name FROM country WHERE Continent = Europe AND Population = 80000
|
| 428 |
+
SELECT sum(T1.population), avg(T1.surfacearea) FROM city AS T1 JOIN country AS T2 ON T1.countrycode = T2.code WHERE T2.continent = 'North America' AND T1.population > 3000 GROUP BY T2.code
|
| 429 |
+
SELECT sum(population), avg(population) FROM city WHERE countrycode = 'North America' AND surfacearea > 3000;
|
| 430 |
+
SELECT name FROM city WHERE population > 160000 AND population < 900000
|
| 431 |
+
SELECT name FROM city WHERE population BETWEEN 160000 AND 900000
|
| 432 |
+
SELECT Language FROM countrylanguage ORDER BY Percentage DESC LIMIT 1
|
| 433 |
+
SELECT code, language FROM countrylanguage ORDER BY percentage DESC LIMIT 1
|
| 434 |
+
SELECT count(*) FROM countrylanguage WHERE language = "Spanish" ORDER BY percentage DESC LIMIT 1
|
| 435 |
+
SELECT count(*) FROM countrylanguage WHERE language = "Spanish"
|
| 436 |
+
SELECT Code FROM countrylanguage WHERE Language = "Spanish" ORDER BY Percentage DESC LIMIT 1
|
| 437 |
+
SELECT CountryCode FROM countrylanguage WHERE Language = "Spanish" GROUP BY CountryCode ORDER BY COUNT(*) DESC LIMIT 1
|
| 438 |
+
SELECT Name FROM conductor ORDER BY Age DESC
|
| 439 |
+
SELECT Name FROM conductor ORDER BY Age
|
| 440 |
+
SELECT Name FROM conductor WHERE Nationality!= "USA"
|
| 441 |
+
SELECT Name FROM conductor WHERE Nationality!= "USA"
|
| 442 |
+
SELECT Record_Company FROM orchestra ORDER BY Year_of_Founded DESC
|
| 443 |
+
SELECT Record_Company FROM orchestra ORDER BY Year_of_Founded ASC
|
| 444 |
+
SELECT count(*) FROM orchestra WHERE Record_Company = "CD" OR Record_Company = "DVD"
|
| 445 |
+
SELECT grade FROM Highschooler WHERE name = "Kyle"
|
| 446 |
+
SELECT grade FROM Highschooler WHERE name = "Kyle"
|
| 447 |
+
SELECT name FROM Highschooler WHERE grade = "10"
|
| 448 |
+
SELECT name FROM Highschooler WHERE grade = "10"
|
| 449 |
+
SELECT id FROM highschooler WHERE name = 'Kyle'
|
| 450 |
+
SELECT id FROM Highschooler WHERE name = 'Kyle'
|
| 451 |
+
SELECT count(*) FROM Highschooler WHERE grade = 9 OR grade = 10
|
| 452 |
+
SELECT count(*) FROM Highschooler WHERE grade = 10
|
| 453 |
+
SELECT count(*), T1.id FROM highschooler AS T1 JOIN likes AS T2 ON T1.id = T2.liked_id GROUP BY T1.id BY T1.grade
|
| 454 |
+
SELECT count(*), T1.id FROM highschooler AS T1 JOIN likes AS T2 ON T1.id = T2.liked_id GROUP BY T1.id BY grade
|
| 455 |
+
SELECT YEAR FROM Highschooler GROUP BY YEAR ORDER BY count(*) DESC LIMIT 1
|
| 456 |
+
SELECT T1.name FROM highschooler AS T1 JOIN friend AS T2 ON T1.id = T2.student_id WHERE T2.friend_id = T1.id WHERE T1.name = "Kyle"
|
| 457 |
+
SELECT T2.name FROM highschooler AS T1 JOIN friend AS T2 ON T1.id = T2.friend_id WHERE T1.name = 'Kyle'
|
| 458 |
+
SELECT count(DISTINCT friend_id) FROM Friend WHERE student_id IN (SELECT student_id FROM Likes AS T1 JOIN Highschooler AS T2 ON T1.liked_id = T2.id WHERE T2.name = 'Kyle')
|
| 459 |
+
SELECT count(*) FROM Friend WHERE friend_id IN (SELECT friend_id FROM Friend WHERE student_id = "Kyle")
|
| 460 |
+
SELECT count(*) FROM Likes AS T1 JOIN Highschooler AS T2 ON T1.liked_id = T2.id WHERE T2.name = "Kyle"
|
| 461 |
+
SELECT count(*) FROM Likes AS T1 JOIN Highschooler AS T2 ON T1.liked_id = T2.id WHERE T2.name = "Kyle"
|
| 462 |
+
SELECT avg(T1.grade) FROM highschooler AS T1 JOIN likes AS T2 ON T1.id = T2.stud_id GROUP BY T1.id
|
| 463 |
+
SELECT avg(T1.grade) FROM highschooler AS T1 JOIN likes AS T2 ON T1.id = T2.studnet_id GROUP BY T1.id HAVING count(*) > 1
|
| 464 |
+
SELECT min(grade) FROM highschooler WHERE id NOT IN (SELECT student_id FROM Friend)
|
| 465 |
+
SELECT min(grade) FROM highschooler WHERE id NOT IN (SELECT student_id FROM Friend)
|
| 466 |
+
SELECT T1.id, T1.last_name, T1.cell_number FROM Professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id = T2.professional_id GROUP BY T1.professional_id HAVING count(*) > 2 JOIN Owners AS T3 ON T1.cell_number = T3.cell_number WHERE T3.state = "Indiana"
|
| 467 |
+
SELECT T1.id, T1.last_name, T1.cell_number FROM Professionals AS T1 JOIN treatments AS T2 ON T1.professional_id = T2.professional_id GROUP BY T1.professional_id HAVING state = "Indiana" UNION SELECT T1.id, T1.last_name, T1.cell_number FROM Professionals AS T1 JOIN treatments AS T2 ON T1.professional_id = T2.professional_id GROUP BY T1.professional_id HAVING count(*) > 2
|
| 468 |
+
SELECT T1.name FROM dogs AS T1 JOIN treatments AS T2 ON T1.dog_id = T2.dog_id JOIN owners AS T3 ON T1.owner_id = T3.owner_id WHERE T2.cost_of_treatment > 1000
|
| 469 |
+
SELECT T1.first_name, T1.last_name, T1.owner_id FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id = T2.owner_id GROUP BY T1.owner_id ORDER BY count(*) DESC LIMIT 1
|
| 470 |
+
SELECT T1.owner_id, T2.first_name, T2.last_name FROM Dogs AS T1 JOIN Owners AS T2 ON T1.owner_id = T2.owner_id GROUP BY T1.owner_id ORDER BY count(*) DESC LIMIT 1
|
| 471 |
+
SELECT T1.role, T1.first_name, T1.last_name FROM Professionals AS T1 JOIN Treatment_Types AS T2 ON T1.professional_id = T2.professional_id GROUP BY T1.professional_id HAVING count(*) >= 2
|
| 472 |
+
SELECT T1.id, T1.role, T1.first_name FROM Professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id = T2.professional_id GROUP BY T1.professional_id HAVING count(*) >= 2
|
| 473 |
+
SELECT t1.treatment_type_description FROM Treatment_Types AS t1 JOIN Treatments AS t2 ON t1.treatment_type_code = t2.treatment_type_code ORDER BY t2.cost_of_treatment LIMIT 1
|
| 474 |
+
SELECT treatment_type_description FROM Treatment_Types ORDER BY cost_of_treatment ASC LIMIT 1
|
| 475 |
+
SELECT T1.zip_code FROM owners AS T1 JOIN dogs AS T2 ON T1.owner_id = T2.owner_id GROUP BY T1.zip_code ORDER BY sum(T2.charge_amount) DESC LIMIT 1
|
| 476 |
+
SELECT T1.id, T1.zip_code FROM owners AS T1 JOIN dogs AS T2 ON T1.owner_id = T2.owner_id GROUP BY T1.id ORDER BY sum(T2.charge_amount) DESC LIMIT 1
|
| 477 |
+
SELECT T1.first_name, T1.last_name FROM Professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id = T2.professional_id WHERE T2.cost_of_treatment < (SELECT avg(cost_of_treatment) FROM Treatments)
|
| 478 |
+
SELECT T1.first_name, T1.last_name FROM Professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id = T2.professional_id WHERE T2.cost_of_treatment < (SELECT avg(cost_of_treatment) FROM treatments)
|
| 479 |
+
SELECT T1.first_name, T2.name FROM owners AS T1 JOIN dogs AS T2 ON T1.owner_id = T2.owner_id WHERE T1.state = "VA"
|
| 480 |
+
SELECT T1.first_name FROM owners AS T1 JOIN dogs AS T2 ON T1.owner_id = T2.owner_id WHERE T1.state = "Virginia"
|
| 481 |
+
SELECT last_name FROM owners AS T1 JOIN dogs AS T2 ON T1.owner_id = T2.owner_id ORDER BY T2.age ASC LIMIT 1
|
| 482 |
+
SELECT last_name FROM dogs ORDER BY age ASC LIMIT 1
|
| 483 |
+
SELECT email_address FROM Professionals WHERE state = "Hawaii" OR state = "Wisconsin"
|
| 484 |
+
SELECT email_address FROM Professionals WHERE state = "Hawaii" OR state = "Wisconsin"
|
| 485 |
+
SELECT count(*) FROM dogs WHERE date_of_birth < (SELECT avg(age) FROM dogs)
|
| 486 |
+
SELECT count(*) FROM dogs WHERE date_of_birth < (SELECT avg(age) FROM dogs)
|
| 487 |
+
SELECT max(T1.cost_of_treatment) FROM Treatments AS T1 JOIN Treatment_Types AS T2 ON T1.treatment_type_code = T2.treatment_type_code
|
| 488 |
+
SELECT max(T1.cost_of_treatment) FROM treatments AS T1 JOIN Owners AS T2 ON T1.dog_id = T2.owner_id
|
| 489 |
+
SELECT name, age, weight FROM dogs WHERE abandoned_yn = 'Y'
|
| 490 |
+
SELECT name, age, weight FROM dogs WHERE abandoned_yn = 'Y'
|
| 491 |
+
SELECT Name FROM singer ORDER BY Net_Worth_Millions ASC
|
| 492 |
+
SELECT Name FROM singer ORDER BY Net_Worth_Millions ASC
|
| 493 |
+
SELECT Name FROM singer WHERE Citizenship!= "French"
|
| 494 |
+
SELECT Name FROM singer WHERE Citizenship!= "French"
|
| 495 |
+
SELECT Name FROM singer WHERE Birth_Year = 1948 OR Birth_Year = 1949
|
| 496 |
+
SELECT Name FROM singer WHERE Birth_Year = 1948 OR Birth_Year = 1949
|
| 497 |
+
SELECT T1.Name FROM singer AS T1 JOIN song AS T2 ON T1.Singer_ID = T2.Singer_ID ORDER BY T1.Net_Worth_Millions DESC LIMIT 1
|
| 498 |
+
SELECT T2.Citizenship, COUNT(*) FROM singer AS T1 JOIN song AS T2 ON T1.Singer_ID = T2.Singer_ID GROUP BY T2.Citizenship
|
| 499 |
+
SELECT Citizenship, COUNT(*) FROM singer GROUP BY Citizenship
|
| 500 |
+
SELECT Citizenship FROM singer GROUP BY Citizenship ORDER BY COUNT(*) DESC LIMIT 1
|
| 501 |
+
SELECT T1.Citizenship FROM singer AS T1 JOIN song AS T2 ON T1.Singer_ID = T2.Singer_ID GROUP BY T1.Citizenship ORDER BY COUNT(*) DESC LIMIT 1
|
| 502 |
+
SELECT Citizenship, max(Net_Worth_Millions) FROM singer GROUP BY Citizenship
|
| 503 |
+
SELECT max(Net_Worth_Millions), citizenship FROM singer GROUP BY citizenship
|
| 504 |
+
SELECT DISTINCT T2.Name FROM song AS T1 JOIN singer AS T2 ON T1.Singer_ID = T2.Singer_ID WHERE T1.Sales > 300000
|
| 505 |
+
SELECT DISTINCT T2.Name FROM song AS T1 JOIN singer AS T2 ON T1.Singer_ID = T2.Singer_ID WHERE T1.Sales > 300000
|
| 506 |
+
SELECT Citizenship FROM singer WHERE Birth_Year < 1945 INTERSECT SELECT Citizenship FROM singer WHERE Birth_Year > 1955
|
| 507 |
+
SELECT Citizenship FROM singer WHERE Birth_Year < 1945 INTERSECT SELECT Citizenship FROM singer WHERE Birth_Year > 1955
|
| 508 |
+
SELECT T1.property_name FROM properties AS T1 JOIN Ref_property_types AS T2 ON T1.property_type_code = T2.property_type_code WHERE T1.room_count > 1
|
text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/formatted_data/baselines_train_amid_spider_amid_adaptive-amid_ab_pr_0.5_0.5_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt218__test.gold.sql
ADDED
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|
| 1 |
+
SELECT name , country , age FROM singer ORDER BY age DESC concert_singer
|
| 2 |
+
SELECT avg(age) , min(age) , max(age) FROM singer WHERE country = 'France' concert_singer
|
| 3 |
+
SELECT avg(age) , min(age) , max(age) FROM singer WHERE country = 'France' concert_singer
|
| 4 |
+
SELECT song_name , song_release_year FROM singer ORDER BY age LIMIT 1 concert_singer
|
| 5 |
+
SELECT song_name , song_release_year FROM singer ORDER BY age LIMIT 1 concert_singer
|
| 6 |
+
SELECT DISTINCT country FROM singer WHERE age > 20 concert_singer
|
| 7 |
+
SELECT DISTINCT country FROM singer WHERE age > 20 concert_singer
|
| 8 |
+
SELECT country , count(*) FROM singer GROUP BY country concert_singer
|
| 9 |
+
SELECT country , count(*) FROM singer GROUP BY country concert_singer
|
| 10 |
+
SELECT song_name FROM singer WHERE age > (SELECT avg(age) FROM singer) concert_singer
|
| 11 |
+
SELECT song_name FROM singer WHERE age > (SELECT avg(age) FROM singer) concert_singer
|
| 12 |
+
SELECT LOCATION , name FROM stadium WHERE capacity BETWEEN 5000 AND 10000 concert_singer
|
| 13 |
+
SELECT LOCATION , name FROM stadium WHERE capacity BETWEEN 5000 AND 10000 concert_singer
|
| 14 |
+
SELECT count(*) FROM concert WHERE YEAR = 2014 OR YEAR = 2015 concert_singer
|
| 15 |
+
SELECT count(*) FROM concert WHERE YEAR = 2014 OR YEAR = 2015 concert_singer
|
| 16 |
+
SELECT T2.name , T2.capacity FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id WHERE T1.year >= 2014 GROUP BY T2.stadium_id ORDER BY count(*) DESC LIMIT 1 concert_singer
|
| 17 |
+
select t2.name , t2.capacity from concert as t1 join stadium as t2 on t1.stadium_id = t2.stadium_id where t1.year > 2013 group by t2.stadium_id order by count(*) desc limit 1 concert_singer
|
| 18 |
+
SELECT name FROM stadium WHERE stadium_id NOT IN (SELECT stadium_id FROM concert) concert_singer
|
| 19 |
+
SELECT name FROM stadium WHERE stadium_id NOT IN (SELECT stadium_id FROM concert) concert_singer
|
| 20 |
+
SELECT country FROM singer WHERE age > 40 INTERSECT SELECT country FROM singer WHERE age < 30 concert_singer
|
| 21 |
+
SELECT name FROM stadium EXCEPT SELECT T2.name FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id WHERE T1.year = 2014 concert_singer
|
| 22 |
+
SELECT name FROM stadium EXCEPT SELECT T2.name FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id WHERE T1.year = 2014 concert_singer
|
| 23 |
+
SELECT T2.concert_name , T2.theme , count(*) FROM singer_in_concert AS T1 JOIN concert AS T2 ON T1.concert_id = T2.concert_id GROUP BY T2.concert_id concert_singer
|
| 24 |
+
SELECT T2.name , count(*) FROM singer_in_concert AS T1 JOIN singer AS T2 ON T1.singer_id = T2.singer_id GROUP BY T2.singer_id concert_singer
|
| 25 |
+
SELECT T2.name , count(*) FROM singer_in_concert AS T1 JOIN singer AS T2 ON T1.singer_id = T2.singer_id GROUP BY T2.singer_id concert_singer
|
| 26 |
+
SELECT T2.name FROM singer_in_concert AS T1 JOIN singer AS T2 ON T1.singer_id = T2.singer_id JOIN concert AS T3 ON T1.concert_id = T3.concert_id WHERE T3.year = 2014 concert_singer
|
| 27 |
+
SELECT T2.name FROM singer_in_concert AS T1 JOIN singer AS T2 ON T1.singer_id = T2.singer_id JOIN concert AS T3 ON T1.concert_id = T3.concert_id WHERE T3.year = 2014 concert_singer
|
| 28 |
+
SELECT name , country FROM singer WHERE song_name LIKE '%Hey%' concert_singer
|
| 29 |
+
SELECT name , country FROM singer WHERE song_name LIKE '%Hey%' concert_singer
|
| 30 |
+
SELECT T2.name , T2.location FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id WHERE T1.Year = 2014 INTERSECT SELECT T2.name , T2.location FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id WHERE T1.Year = 2015 concert_singer
|
| 31 |
+
SELECT T2.name , T2.location FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id WHERE T1.Year = 2014 INTERSECT SELECT T2.name , T2.location FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id WHERE T1.Year = 2015 concert_singer
|
| 32 |
+
select count(*) from concert where stadium_id = (select stadium_id from stadium order by capacity desc limit 1) concert_singer
|
| 33 |
+
select count(*) from concert where stadium_id = (select stadium_id from stadium order by capacity desc limit 1) concert_singer
|
| 34 |
+
SELECT count(*) FROM pets WHERE weight > 10 pets_1
|
| 35 |
+
SELECT count(*) FROM pets WHERE weight > 10 pets_1
|
| 36 |
+
SELECT weight FROM pets ORDER BY pet_age LIMIT 1 pets_1
|
| 37 |
+
SELECT weight FROM pets ORDER BY pet_age LIMIT 1 pets_1
|
| 38 |
+
SELECT count(*) FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid WHERE T1.age > 20 pets_1
|
| 39 |
+
SELECT count(*) FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid WHERE T1.age > 20 pets_1
|
| 40 |
+
SELECT count(*) FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T2.petid = T3.petid WHERE T1.sex = 'F' AND T3.pettype = 'dog' pets_1
|
| 41 |
+
SELECT count(*) FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T2.petid = T3.petid WHERE T1.sex = 'F' AND T3.pettype = 'dog' pets_1
|
| 42 |
+
SELECT DISTINCT T1.Fname FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'cat' OR T3.pettype = 'dog' pets_1
|
| 43 |
+
SELECT DISTINCT T1.Fname FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'cat' OR T3.pettype = 'dog' pets_1
|
| 44 |
+
select t1.fname from student as t1 join has_pet as t2 on t1.stuid = t2.stuid join pets as t3 on t3.petid = t2.petid where t3.pettype = 'cat' intersect select t1.fname from student as t1 join has_pet as t2 on t1.stuid = t2.stuid join pets as t3 on t3.petid = t2.petid where t3.pettype = 'dog' pets_1
|
| 45 |
+
SELECT T1.Fname FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'cat' INTERSECT SELECT T1.Fname FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'dog' pets_1
|
| 46 |
+
SELECT major , age FROM student WHERE stuid NOT IN (SELECT T1.stuid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'cat') pets_1
|
| 47 |
+
SELECT major , age FROM student WHERE stuid NOT IN (SELECT T1.stuid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'cat') pets_1
|
| 48 |
+
SELECT stuid FROM student EXCEPT SELECT T1.stuid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'cat' pets_1
|
| 49 |
+
SELECT stuid FROM student EXCEPT SELECT T1.stuid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'cat' pets_1
|
| 50 |
+
SELECT T1.fname , T1.age FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'dog' AND T1.stuid NOT IN (SELECT T1.stuid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'cat') pets_1
|
| 51 |
+
SELECT T1.fname , T1.age FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'dog' AND T1.stuid NOT IN (SELECT T1.stuid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'cat') pets_1
|
| 52 |
+
SELECT pettype , weight FROM pets ORDER BY pet_age LIMIT 1 pets_1
|
| 53 |
+
SELECT pettype , weight FROM pets ORDER BY pet_age LIMIT 1 pets_1
|
| 54 |
+
SELECT petid , weight FROM pets WHERE pet_age > 1 pets_1
|
| 55 |
+
SELECT petid , weight FROM pets WHERE pet_age > 1 pets_1
|
| 56 |
+
SELECT T1.lname FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pet_age = 3 AND T3.pettype = 'cat' pets_1
|
| 57 |
+
SELECT T1.lname FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pet_age = 3 AND T3.pettype = 'cat' pets_1
|
| 58 |
+
select avg(age) from student where stuid not in (select stuid from has_pet) pets_1
|
| 59 |
+
select avg(age) from student where stuid not in (select stuid from has_pet) pets_1
|
| 60 |
+
SELECT T1.FullName , T1.Id , count(*) FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id = T2.Maker GROUP BY T1.Id; car_1
|
| 61 |
+
SELECT T1.FullName , T1.Id , count(*) FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id = T2.Maker GROUP BY T1.Id; car_1
|
| 62 |
+
SELECT T1.model FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId = T2.Id WHERE T2.Weight < (SELECT avg(Weight) FROM CARS_DATA) car_1
|
| 63 |
+
SELECT T1.model FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId = T2.Id WHERE T2.Weight < (SELECT avg(Weight) FROM CARS_DATA) car_1
|
| 64 |
+
SELECT DISTINCT T1.Maker FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id = T2.Maker JOIN CAR_NAMES AS T3 ON T2.model = T3.model JOIN CARS_DATA AS T4 ON T3.MakeId = T4.id WHERE T4.year = '1970'; car_1
|
| 65 |
+
SELECT DISTINCT T1.Maker FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id = T2.Maker JOIN CAR_NAMES AS T3 ON T2.model = T3.model JOIN CARS_DATA AS T4 ON T3.MakeId = T4.id WHERE T4.year = '1970'; car_1
|
| 66 |
+
SELECT T2.Make , T1.Year FROM CARS_DATA AS T1 JOIN CAR_NAMES AS T2 ON T1.Id = T2.MakeId WHERE T1.Year = (SELECT min(YEAR) FROM CARS_DATA); car_1
|
| 67 |
+
SELECT T2.Make , T1.Year FROM CARS_DATA AS T1 JOIN CAR_NAMES AS T2 ON T1.Id = T2.MakeId WHERE T1.Year = (SELECT min(YEAR) FROM CARS_DATA); car_1
|
| 68 |
+
SELECT DISTINCT T1.model FROM MODEL_LIST AS T1 JOIN CAR_NAMES AS T2 ON T1.model = T2.model JOIN CARS_DATA AS T3 ON T2.MakeId = T3.id WHERE T3.year > 1980; car_1
|
| 69 |
+
SELECT DISTINCT T1.model FROM MODEL_LIST AS T1 JOIN CAR_NAMES AS T2 ON T1.model = T2.model JOIN CARS_DATA AS T3 ON T2.MakeId = T3.id WHERE T3.year > 1980; car_1
|
| 70 |
+
SELECT T2.CountryName FROM CAR_MAKERS AS T1 JOIN COUNTRIES AS T2 ON T1.Country = T2.CountryId GROUP BY T1.Country ORDER BY Count(*) DESC LIMIT 1; car_1
|
| 71 |
+
SELECT T2.CountryName FROM CAR_MAKERS AS T1 JOIN COUNTRIES AS T2 ON T1.Country = T2.CountryId GROUP BY T1.Country ORDER BY Count(*) DESC LIMIT 1; car_1
|
| 72 |
+
select count(*) , t2.fullname from model_list as t1 join car_makers as t2 on t1.maker = t2.id group by t2.id; car_1
|
| 73 |
+
SELECT Count(*) , T2.FullName , T2.id FROM MODEL_LIST AS T1 JOIN CAR_MAKERS AS T2 ON T1.Maker = T2.Id GROUP BY T2.id; car_1
|
| 74 |
+
SELECT T1.Accelerate FROM CARS_DATA AS T1 JOIN CAR_NAMES AS T2 ON T1.Id = T2.MakeId WHERE T2.Make = 'amc hornet sportabout (sw)'; car_1
|
| 75 |
+
SELECT count(*) FROM CAR_MAKERS AS T1 JOIN COUNTRIES AS T2 ON T1.Country = T2.CountryId WHERE T2.CountryName = 'france'; car_1
|
| 76 |
+
SELECT count(*) FROM CAR_MAKERS AS T1 JOIN COUNTRIES AS T2 ON T1.Country = T2.CountryId WHERE T2.CountryName = 'france'; car_1
|
| 77 |
+
SELECT count(*) FROM MODEL_LIST AS T1 JOIN CAR_MAKERS AS T2 ON T1.Maker = T2.Id JOIN COUNTRIES AS T3 ON T2.Country = T3.CountryId WHERE T3.CountryName = 'usa'; car_1
|
| 78 |
+
SELECT count(*) FROM MODEL_LIST AS T1 JOIN CAR_MAKERS AS T2 ON T1.Maker = T2.Id JOIN COUNTRIES AS T3 ON T2.Country = T3.CountryId WHERE T3.CountryName = 'usa'; car_1
|
| 79 |
+
SELECT avg(mpg) FROM CARS_DATA WHERE Cylinders = 4; car_1
|
| 80 |
+
select min(weight) from cars_data where cylinders = 8 and year = 1974 car_1
|
| 81 |
+
SELECT T1.CountryName , T1.CountryId FROM COUNTRIES AS T1 JOIN CAR_MAKERS AS T2 ON T1.CountryId = T2.Country GROUP BY T1.CountryId HAVING count(*) >= 1; car_1
|
| 82 |
+
SELECT T1.CountryName , T1.CountryId FROM COUNTRIES AS T1 JOIN CAR_MAKERS AS T2 ON T1.CountryId = T2.Country GROUP BY T1.CountryId HAVING count(*) >= 1; car_1
|
| 83 |
+
SELECT count(*) FROM CARS_DATA WHERE horsepower > 150; car_1
|
| 84 |
+
SELECT count(*) FROM CARS_DATA WHERE horsepower > 150; car_1
|
| 85 |
+
SELECT T1.CountryName FROM COUNTRIES AS T1 JOIN CONTINENTS AS T2 ON T1.Continent = T2.ContId JOIN CAR_MAKERS AS T3 ON T1.CountryId = T3.Country WHERE T2.Continent = 'europe' GROUP BY T1.CountryName HAVING count(*) >= 3; car_1
|
| 86 |
+
SELECT T1.CountryName FROM COUNTRIES AS T1 JOIN CONTINENTS AS T2 ON T1.Continent = T2.ContId JOIN CAR_MAKERS AS T3 ON T1.CountryId = T3.Country WHERE T2.Continent = 'europe' GROUP BY T1.CountryName HAVING count(*) >= 3; car_1
|
| 87 |
+
SELECT T1.Model FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId = T2.Id ORDER BY T2.mpg DESC LIMIT 1; car_1
|
| 88 |
+
select t1.model from car_names as t1 join cars_data as t2 on t1.makeid = t2.id order by t2.mpg desc limit 1; car_1
|
| 89 |
+
SELECT avg(horsepower) FROM CARS_DATA WHERE YEAR < 1980; car_1
|
| 90 |
+
select avg(horsepower) from cars_data where year < 1980; car_1
|
| 91 |
+
SELECT avg(T2.edispl) FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId = T2.Id WHERE T1.Model = 'volvo'; car_1
|
| 92 |
+
SELECT avg(T2.edispl) FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId = T2.Id WHERE T1.Model = 'volvo'; car_1
|
| 93 |
+
SELECT Model FROM CAR_NAMES GROUP BY Model ORDER BY count(*) DESC LIMIT 1; car_1
|
| 94 |
+
SELECT count(*) FROM CARS_DATA WHERE YEAR = 1980; car_1
|
| 95 |
+
SELECT count(*) FROM CARS_DATA WHERE YEAR = 1980; car_1
|
| 96 |
+
SELECT count(*) FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id = T2.Maker WHERE T1.FullName = 'American Motor Company'; car_1
|
| 97 |
+
SELECT count(*) FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id = T2.Maker WHERE T1.FullName = 'American Motor Company'; car_1
|
| 98 |
+
SELECT T1.FullName , T1.Id FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id = T2.Maker GROUP BY T1.Id HAVING count(*) > 3; car_1
|
| 99 |
+
SELECT T1.FullName , T1.Id FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id = T2.Maker GROUP BY T1.Id HAVING count(*) > 3; car_1
|
| 100 |
+
SELECT DISTINCT T2.Model FROM CAR_NAMES AS T1 JOIN MODEL_LIST AS T2 ON T1.Model = T2.Model JOIN CAR_MAKERS AS T3 ON T2.Maker = T3.Id JOIN CARS_DATA AS T4 ON T1.MakeId = T4.Id WHERE T3.FullName = 'General Motors' OR T4.weight > 3500; car_1
|
| 101 |
+
SELECT DISTINCT T2.Model FROM CAR_NAMES AS T1 JOIN MODEL_LIST AS T2 ON T1.Model = T2.Model JOIN CAR_MAKERS AS T3 ON T2.Maker = T3.Id JOIN CARS_DATA AS T4 ON T1.MakeId = T4.Id WHERE T3.FullName = 'General Motors' OR T4.weight > 3500; car_1
|
| 102 |
+
select distinct year from cars_data where weight between 3000 and 4000; car_1
|
| 103 |
+
select distinct year from cars_data where weight between 3000 and 4000; car_1
|
| 104 |
+
SELECT T1.cylinders FROM CARS_DATA AS T1 JOIN CAR_NAMES AS T2 ON T1.Id = T2.MakeId WHERE T2.Model = 'volvo' ORDER BY T1.accelerate ASC LIMIT 1; car_1
|
| 105 |
+
SELECT T1.cylinders FROM CARS_DATA AS T1 JOIN CAR_NAMES AS T2 ON T1.Id = T2.MakeId WHERE T2.Model = 'volvo' ORDER BY T1.accelerate ASC LIMIT 1; car_1
|
| 106 |
+
select count(*) from countries as t1 join car_makers as t2 on t1.countryid = t2.country group by t1.countryid having count(*) > 2 car_1
|
| 107 |
+
select count(*) from countries as t1 join car_makers as t2 on t1.countryid = t2.country group by t1.countryid having count(*) > 2 car_1
|
| 108 |
+
SELECT T1.Model FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId = T2.Id WHERE T2.Cylinders = 4 ORDER BY T2.horsepower DESC LIMIT 1; car_1
|
| 109 |
+
select max(mpg) from cars_data where cylinders = 8 or year < 1980 car_1
|
| 110 |
+
SELECT DISTINCT T1.model FROM MODEL_LIST AS T1 JOIN CAR_NAMES AS T2 ON T1.Model = T2.Model JOIN CARS_DATA AS T3 ON T2.MakeId = T3.Id JOIN CAR_MAKERS AS T4 ON T1.Maker = T4.Id WHERE T3.weight < 3500 AND T4.FullName != 'Ford Motor Company'; car_1
|
| 111 |
+
SELECT DISTINCT T1.model FROM MODEL_LIST AS T1 JOIN CAR_NAMES AS T2 ON T1.Model = T2.Model JOIN CARS_DATA AS T3 ON T2.MakeId = T3.Id JOIN CAR_MAKERS AS T4 ON T1.Maker = T4.Id WHERE T3.weight < 3500 AND T4.FullName != 'Ford Motor Company'; car_1
|
| 112 |
+
SELECT T1.countryId , T1.CountryName FROM Countries AS T1 JOIN CAR_MAKERS AS T2 ON T1.CountryId = T2.Country GROUP BY T1.countryId HAVING count(*) > 3 UNION SELECT T1.countryId , T1.CountryName FROM Countries AS T1 JOIN CAR_MAKERS AS T2 ON T1.CountryId = T2.Country JOIN MODEL_LIST AS T3 ON T2.Id = T3.Maker WHERE T3.Model = 'fiat'; car_1
|
| 113 |
+
select t1.countryid , t1.countryname from countries as t1 join car_makers as t2 on t1.countryid = t2.country group by t1.countryid having count(*) > 3 union select t1.countryid , t1.countryname from countries as t1 join car_makers as t2 on t1.countryid = t2.country join model_list as t3 on t2.id = t3.maker where t3.model = 'fiat'; car_1
|
| 114 |
+
SELECT Country FROM AIRLINES WHERE Airline = "JetBlue Airways" flight_2
|
| 115 |
+
SELECT Country FROM AIRLINES WHERE Airline = "JetBlue Airways" flight_2
|
| 116 |
+
SELECT Abbreviation FROM AIRLINES WHERE Airline = "JetBlue Airways" flight_2
|
| 117 |
+
SELECT Abbreviation FROM AIRLINES WHERE Airline = "JetBlue Airways" flight_2
|
| 118 |
+
SELECT Airline , Abbreviation FROM AIRLINES WHERE Country = "USA" flight_2
|
| 119 |
+
SELECT Airline , Abbreviation FROM AIRLINES WHERE Country = "USA" flight_2
|
| 120 |
+
SELECT AirportCode , AirportName FROM AIRPORTS WHERE city = "Anthony" flight_2
|
| 121 |
+
SELECT AirportCode , AirportName FROM AIRPORTS WHERE city = "Anthony" flight_2
|
| 122 |
+
SELECT Airline FROM AIRLINES WHERE Abbreviation = "UAL" flight_2
|
| 123 |
+
SELECT Airline FROM AIRLINES WHERE Abbreviation = "UAL" flight_2
|
| 124 |
+
SELECT count(*) FROM AIRLINES WHERE Country = "USA" flight_2
|
| 125 |
+
SELECT count(*) FROM AIRLINES WHERE Country = "USA" flight_2
|
| 126 |
+
SELECT AirportName FROM AIRPORTS WHERE AirportCode = "AKO" flight_2
|
| 127 |
+
SELECT AirportName FROM AIRPORTS WHERE AirportCode = "AKO" flight_2
|
| 128 |
+
SELECT AirportName FROM AIRPORTS WHERE City = "Aberdeen" flight_2
|
| 129 |
+
SELECT AirportName FROM AIRPORTS WHERE City = "Aberdeen" flight_2
|
| 130 |
+
SELECT count(*) FROM FLIGHTS WHERE SourceAirport = "APG" flight_2
|
| 131 |
+
SELECT count(*) FROM FLIGHTS WHERE SourceAirport = "APG" flight_2
|
| 132 |
+
SELECT count(*) FROM FLIGHTS WHERE DestAirport = "ATO" flight_2
|
| 133 |
+
SELECT count(*) FROM FLIGHTS WHERE DestAirport = "ATO" flight_2
|
| 134 |
+
SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.SourceAirport = T2.AirportCode WHERE T2.City = "Aberdeen" flight_2
|
| 135 |
+
SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.SourceAirport = T2.AirportCode WHERE T2.City = "Aberdeen" flight_2
|
| 136 |
+
SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.DestAirport = T2.AirportCode WHERE T2.City = "Aberdeen" flight_2
|
| 137 |
+
SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.DestAirport = T2.AirportCode WHERE T2.City = "Aberdeen" flight_2
|
| 138 |
+
SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.DestAirport = T2.AirportCode JOIN AIRPORTS AS T3 ON T1.SourceAirport = T3.AirportCode WHERE T2.City = "Ashley" AND T3.City = "Aberdeen" flight_2
|
| 139 |
+
SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.DestAirport = T2.AirportCode JOIN AIRPORTS AS T3 ON T1.SourceAirport = T3.AirportCode WHERE T2.City = "Ashley" AND T3.City = "Aberdeen" flight_2
|
| 140 |
+
SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRLINES AS T2 ON T1.Airline = T2.uid WHERE T2.Airline = "JetBlue Airways" flight_2
|
| 141 |
+
SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRLINES AS T2 ON T1.Airline = T2.uid WHERE T2.Airline = "JetBlue Airways" flight_2
|
| 142 |
+
SELECT count(*) FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T2.Airline = T1.uid WHERE T1.Airline = "United Airlines" AND T2.DestAirport = "ASY" flight_2
|
| 143 |
+
SELECT count(*) FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T2.Airline = T1.uid WHERE T1.Airline = "United Airlines" AND T2.DestAirport = "ASY" flight_2
|
| 144 |
+
SELECT count(*) FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T2.Airline = T1.uid WHERE T1.Airline = "United Airlines" AND T2.SourceAirport = "AHD" flight_2
|
| 145 |
+
SELECT count(*) FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T2.Airline = T1.uid WHERE T1.Airline = "United Airlines" AND T2.SourceAirport = "AHD" flight_2
|
| 146 |
+
SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.DestAirport = T2.AirportCode JOIN AIRLINES AS T3 ON T3.uid = T1.Airline WHERE T2.City = "Aberdeen" AND T3.Airline = "United Airlines" flight_2
|
| 147 |
+
SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.DestAirport = T2.AirportCode JOIN AIRLINES AS T3 ON T3.uid = T1.Airline WHERE T2.City = "Aberdeen" AND T3.Airline = "United Airlines" flight_2
|
| 148 |
+
SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.SourceAirport = "AHD" flight_2
|
| 149 |
+
SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.SourceAirport = "AHD" flight_2
|
| 150 |
+
SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.DestAirport = "AHD" flight_2
|
| 151 |
+
SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.DestAirport = "AHD" flight_2
|
| 152 |
+
SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.SourceAirport = "APG" INTERSECT SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.SourceAirport = "CVO" flight_2
|
| 153 |
+
SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.SourceAirport = "APG" INTERSECT SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.SourceAirport = "CVO" flight_2
|
| 154 |
+
SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.SourceAirport = "CVO" EXCEPT SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.SourceAirport = "APG" flight_2
|
| 155 |
+
SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.SourceAirport = "CVO" EXCEPT SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.SourceAirport = "APG" flight_2
|
| 156 |
+
SELECT T1.FlightNo FROM FLIGHTS AS T1 JOIN AIRLINES AS T2 ON T2.uid = T1.Airline WHERE T2.Airline = "United Airlines" flight_2
|
| 157 |
+
SELECT T1.FlightNo FROM FLIGHTS AS T1 JOIN AIRLINES AS T2 ON T2.uid = T1.Airline WHERE T2.Airline = "United Airlines" flight_2
|
| 158 |
+
SELECT FlightNo FROM FLIGHTS WHERE SourceAirport = "APG" flight_2
|
| 159 |
+
SELECT FlightNo FROM FLIGHTS WHERE SourceAirport = "APG" flight_2
|
| 160 |
+
SELECT FlightNo FROM FLIGHTS WHERE DestAirport = "APG" flight_2
|
| 161 |
+
SELECT FlightNo FROM FLIGHTS WHERE DestAirport = "APG" flight_2
|
| 162 |
+
SELECT T1.FlightNo FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.SourceAirport = T2.AirportCode WHERE T2.City = "Aberdeen" flight_2
|
| 163 |
+
SELECT T1.FlightNo FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.SourceAirport = T2.AirportCode WHERE T2.City = "Aberdeen" flight_2
|
| 164 |
+
SELECT T1.FlightNo FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.DestAirport = T2.AirportCode WHERE T2.City = "Aberdeen" flight_2
|
| 165 |
+
SELECT T1.FlightNo FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.DestAirport = T2.AirportCode WHERE T2.City = "Aberdeen" flight_2
|
| 166 |
+
SELECT count(*) FROM Flights AS T1 JOIN Airports AS T2 ON T1.DestAirport = T2.AirportCode WHERE T2.city = "Aberdeen" OR T2.city = "Abilene" flight_2
|
| 167 |
+
SELECT count(*) FROM Flights AS T1 JOIN Airports AS T2 ON T1.DestAirport = T2.AirportCode WHERE T2.city = "Aberdeen" OR T2.city = "Abilene" flight_2
|
| 168 |
+
SELECT AirportName FROM Airports WHERE AirportCode NOT IN (SELECT SourceAirport FROM Flights UNION SELECT DestAirport FROM Flights) flight_2
|
| 169 |
+
SELECT AirportName FROM Airports WHERE AirportCode NOT IN (SELECT SourceAirport FROM Flights UNION SELECT DestAirport FROM Flights) flight_2
|
| 170 |
+
SELECT name FROM employee ORDER BY age employee_hire_evaluation
|
| 171 |
+
SELECT name FROM employee ORDER BY age employee_hire_evaluation
|
| 172 |
+
SELECT city FROM employee WHERE age < 30 GROUP BY city HAVING count(*) > 1 employee_hire_evaluation
|
| 173 |
+
SELECT city FROM employee WHERE age < 30 GROUP BY city HAVING count(*) > 1 employee_hire_evaluation
|
| 174 |
+
SELECT count(*) , LOCATION FROM shop GROUP BY LOCATION employee_hire_evaluation
|
| 175 |
+
SELECT count(*) , LOCATION FROM shop GROUP BY LOCATION employee_hire_evaluation
|
| 176 |
+
SELECT manager_name , district FROM shop ORDER BY number_products DESC LIMIT 1 employee_hire_evaluation
|
| 177 |
+
SELECT manager_name , district FROM shop ORDER BY number_products DESC LIMIT 1 employee_hire_evaluation
|
| 178 |
+
SELECT name , LOCATION , district FROM shop ORDER BY number_products DESC employee_hire_evaluation
|
| 179 |
+
SELECT name , LOCATION , district FROM shop ORDER BY number_products DESC employee_hire_evaluation
|
| 180 |
+
SELECT name FROM shop WHERE number_products > (SELECT avg(number_products) FROM shop) employee_hire_evaluation
|
| 181 |
+
SELECT name FROM shop WHERE number_products > (SELECT avg(number_products) FROM shop) employee_hire_evaluation
|
| 182 |
+
SELECT t1.name FROM employee AS t1 JOIN evaluation AS t2 ON t1.Employee_ID = t2.Employee_ID ORDER BY t2.bonus DESC LIMIT 1 employee_hire_evaluation
|
| 183 |
+
SELECT t1.name FROM employee AS t1 JOIN evaluation AS t2 ON t1.Employee_ID = t2.Employee_ID ORDER BY t2.bonus DESC LIMIT 1 employee_hire_evaluation
|
| 184 |
+
SELECT t2.name FROM hiring AS t1 JOIN shop AS t2 ON t1.shop_id = t2.shop_id GROUP BY t1.shop_id ORDER BY count(*) DESC LIMIT 1 employee_hire_evaluation
|
| 185 |
+
SELECT t2.name FROM hiring AS t1 JOIN shop AS t2 ON t1.shop_id = t2.shop_id GROUP BY t1.shop_id ORDER BY count(*) DESC LIMIT 1 employee_hire_evaluation
|
| 186 |
+
SELECT name FROM shop WHERE shop_id NOT IN (SELECT shop_id FROM hiring) employee_hire_evaluation
|
| 187 |
+
SELECT name FROM shop WHERE shop_id NOT IN (SELECT shop_id FROM hiring) employee_hire_evaluation
|
| 188 |
+
SELECT district FROM shop WHERE Number_products < 3000 INTERSECT SELECT district FROM shop WHERE Number_products > 10000 employee_hire_evaluation
|
| 189 |
+
SELECT district FROM shop WHERE Number_products < 3000 INTERSECT SELECT district FROM shop WHERE Number_products > 10000 employee_hire_evaluation
|
| 190 |
+
SELECT Name FROM teacher ORDER BY Age ASC course_teach
|
| 191 |
+
SELECT Name FROM teacher ORDER BY Age ASC course_teach
|
| 192 |
+
select name from teacher where hometown != "little lever urban district" course_teach
|
| 193 |
+
select name from teacher where hometown != "little lever urban district" course_teach
|
| 194 |
+
SELECT Name FROM teacher WHERE Age = 32 OR Age = 33 course_teach
|
| 195 |
+
SELECT Name FROM teacher WHERE Age = 32 OR Age = 33 course_teach
|
| 196 |
+
SELECT Hometown FROM teacher ORDER BY Age ASC LIMIT 1 course_teach
|
| 197 |
+
SELECT Hometown FROM teacher ORDER BY Age ASC LIMIT 1 course_teach
|
| 198 |
+
SELECT Hometown , COUNT(*) FROM teacher GROUP BY Hometown course_teach
|
| 199 |
+
SELECT Hometown , COUNT(*) FROM teacher GROUP BY Hometown course_teach
|
| 200 |
+
SELECT Hometown FROM teacher GROUP BY Hometown ORDER BY COUNT(*) DESC LIMIT 1 course_teach
|
| 201 |
+
SELECT Hometown FROM teacher GROUP BY Hometown HAVING COUNT(*) >= 2 course_teach
|
| 202 |
+
SELECT T3.Name FROM course_arrange AS T1 JOIN course AS T2 ON T1.Course_ID = T2.Course_ID JOIN teacher AS T3 ON T1.Teacher_ID = T3.Teacher_ID WHERE T2.Course = "Math" course_teach
|
| 203 |
+
SELECT T3.Name FROM course_arrange AS T1 JOIN course AS T2 ON T1.Course_ID = T2.Course_ID JOIN teacher AS T3 ON T1.Teacher_ID = T3.Teacher_ID WHERE T2.Course = "Math" course_teach
|
| 204 |
+
SELECT Name FROM teacher WHERE Teacher_id NOT IN (SELECT Teacher_id FROM course_arrange) course_teach
|
| 205 |
+
SELECT Name FROM teacher WHERE Teacher_id NOT IN (SELECT Teacher_id FROM course_arrange) course_teach
|
| 206 |
+
SELECT count(*) FROM visitor WHERE age < 30 museum_visit
|
| 207 |
+
SELECT name FROM visitor WHERE Level_of_membership > 4 ORDER BY Level_of_membership DESC museum_visit
|
| 208 |
+
SELECT avg(age) FROM visitor WHERE Level_of_membership <= 4 museum_visit
|
| 209 |
+
SELECT museum_id , name FROM museum ORDER BY num_of_staff DESC LIMIT 1 museum_visit
|
| 210 |
+
SELECT avg(num_of_staff) FROM museum WHERE open_year < 2009 museum_visit
|
| 211 |
+
SELECT Num_of_Staff , Open_Year FROM museum WHERE name = 'Plaza Museum' museum_visit
|
| 212 |
+
SELECT name FROM museum WHERE num_of_staff > (SELECT min(num_of_staff) FROM museum WHERE open_year > 2010) museum_visit
|
| 213 |
+
SELECT t1.id , t1.name , t1.age FROM visitor AS t1 JOIN visit AS t2 ON t1.id = t2.visitor_id GROUP BY t1.id HAVING count(*) > 1 museum_visit
|
| 214 |
+
SELECT t2.visitor_id , t1.name , t1.Level_of_membership FROM visitor AS t1 JOIN visit AS t2 ON t1.id = t2.visitor_id GROUP BY t2.visitor_id ORDER BY sum(t2.Total_spent) DESC LIMIT 1 museum_visit
|
| 215 |
+
SELECT t2.Museum_ID , t1.name FROM museum AS t1 JOIN visit AS t2 ON t1.Museum_ID = t2.Museum_ID GROUP BY t2.Museum_ID ORDER BY count(*) DESC LIMIT 1 museum_visit
|
| 216 |
+
SELECT name FROM museum WHERE Museum_ID NOT IN (SELECT museum_id FROM visit) museum_visit
|
| 217 |
+
SELECT t1.name , t1.age FROM visitor AS t1 JOIN visit AS t2 ON t1.id = t2.visitor_id ORDER BY t2.num_of_ticket DESC LIMIT 1 museum_visit
|
| 218 |
+
SELECT sum(t2.Total_spent) FROM visitor AS t1 JOIN visit AS t2 ON t1.id = t2.visitor_id WHERE t1.Level_of_membership = 1 museum_visit
|
| 219 |
+
SELECT first_name , birth_date FROM players WHERE country_code = 'USA' wta_1
|
| 220 |
+
SELECT first_name , birth_date FROM players WHERE country_code = 'USA' wta_1
|
| 221 |
+
SELECT tourney_name FROM matches GROUP BY tourney_name HAVING count(*) > 10 wta_1
|
| 222 |
+
SELECT tourney_name FROM matches GROUP BY tourney_name HAVING count(*) > 10 wta_1
|
| 223 |
+
SELECT winner_name FROM matches WHERE YEAR = 2013 INTERSECT SELECT winner_name FROM matches WHERE YEAR = 2016 wta_1
|
| 224 |
+
SELECT winner_name FROM matches WHERE YEAR = 2013 INTERSECT SELECT winner_name FROM matches WHERE YEAR = 2016 wta_1
|
| 225 |
+
SELECT count(*) FROM matches WHERE YEAR = 2013 OR YEAR = 2016 wta_1
|
| 226 |
+
SELECT count(*) FROM matches WHERE YEAR = 2013 OR YEAR = 2016 wta_1
|
| 227 |
+
SELECT T1.country_code , T1.first_name FROM players AS T1 JOIN matches AS T2 ON T1.player_id = T2.winner_id WHERE T2.tourney_name = 'WTA Championships' INTERSECT SELECT T1.country_code , T1.first_name FROM players AS T1 JOIN matches AS T2 ON T1.player_id = T2.winner_id WHERE T2.tourney_name = 'Australian Open' wta_1
|
| 228 |
+
SELECT T1.country_code , T1.first_name FROM players AS T1 JOIN matches AS T2 ON T1.player_id = T2.winner_id WHERE T2.tourney_name = 'WTA Championships' INTERSECT SELECT T1.country_code , T1.first_name FROM players AS T1 JOIN matches AS T2 ON T1.player_id = T2.winner_id WHERE T2.tourney_name = 'Australian Open' wta_1
|
| 229 |
+
SELECT first_name , country_code FROM players ORDER BY birth_date LIMIT 1 wta_1
|
| 230 |
+
SELECT first_name , country_code FROM players ORDER BY birth_date LIMIT 1 wta_1
|
| 231 |
+
SELECT first_name , last_name FROM players ORDER BY birth_date wta_1
|
| 232 |
+
SELECT first_name , last_name FROM players ORDER BY birth_date wta_1
|
| 233 |
+
SELECT first_name , last_name FROM players WHERE hand = 'L' ORDER BY birth_date wta_1
|
| 234 |
+
SELECT first_name , last_name FROM players WHERE hand = 'L' ORDER BY birth_date wta_1
|
| 235 |
+
SELECT winner_name , winner_rank_points FROM matches GROUP BY winner_name ORDER BY count(*) DESC LIMIT 1 wta_1
|
| 236 |
+
SELECT winner_name , winner_rank_points FROM matches GROUP BY winner_name ORDER BY count(*) DESC LIMIT 1 wta_1
|
| 237 |
+
SELECT winner_name FROM matches WHERE tourney_name = 'Australian Open' ORDER BY winner_rank_points DESC LIMIT 1 wta_1
|
| 238 |
+
SELECT winner_name FROM matches WHERE tourney_name = 'Australian Open' ORDER BY winner_rank_points DESC LIMIT 1 wta_1
|
| 239 |
+
SELECT winner_name , loser_name FROM matches ORDER BY minutes DESC LIMIT 1 wta_1
|
| 240 |
+
SELECT winner_name , loser_name FROM matches ORDER BY minutes DESC LIMIT 1 wta_1
|
| 241 |
+
SELECT count(*) , country_code FROM players GROUP BY country_code wta_1
|
| 242 |
+
SELECT count(*) , country_code FROM players GROUP BY country_code wta_1
|
| 243 |
+
SELECT country_code FROM players GROUP BY country_code ORDER BY count(*) DESC LIMIT 1 wta_1
|
| 244 |
+
SELECT country_code FROM players GROUP BY country_code ORDER BY count(*) DESC LIMIT 1 wta_1
|
| 245 |
+
SELECT country_code FROM players GROUP BY country_code HAVING count(*) > 50 wta_1
|
| 246 |
+
SELECT country_code FROM players GROUP BY country_code HAVING count(*) > 50 wta_1
|
| 247 |
+
SELECT DISTINCT winner_name , winner_rank FROM matches ORDER BY winner_age LIMIT 3 wta_1
|
| 248 |
+
SELECT DISTINCT winner_name , winner_rank FROM matches ORDER BY winner_age LIMIT 3 wta_1
|
| 249 |
+
SELECT count(DISTINCT winner_name) FROM matches WHERE tourney_name = 'WTA Championships' AND winner_hand = 'L' wta_1
|
| 250 |
+
SELECT count(DISTINCT winner_name) FROM matches WHERE tourney_name = 'WTA Championships' AND winner_hand = 'L' wta_1
|
| 251 |
+
SELECT count(*) FROM ship WHERE disposition_of_ship = 'Captured' battle_death
|
| 252 |
+
SELECT T1.id , T1.name FROM battle AS T1 JOIN ship AS T2 ON T1.id = T2.lost_in_battle JOIN death AS T3 ON T2.id = T3.caused_by_ship_id GROUP BY T1.id HAVING sum(T3.killed) > 10 battle_death
|
| 253 |
+
SELECT T2.id , T2.name FROM death AS T1 JOIN ship AS t2 ON T1.caused_by_ship_id = T2.id GROUP BY T2.id ORDER BY count(*) DESC LIMIT 1 battle_death
|
| 254 |
+
SELECT T1.name , T1.date FROM battle AS T1 JOIN ship AS T2 ON T1.id = T2.lost_in_battle WHERE T2.name = 'Lettice' INTERSECT SELECT T1.name , T1.date FROM battle AS T1 JOIN ship AS T2 ON T1.id = T2.lost_in_battle WHERE T2.name = 'HMS Atalanta' battle_death
|
| 255 |
+
SELECT name , RESULT , bulgarian_commander FROM battle EXCEPT SELECT T1.name , T1.result , T1.bulgarian_commander FROM battle AS T1 JOIN ship AS T2 ON T1.id = T2.lost_in_battle WHERE T2.location = 'English Channel' battle_death
|
| 256 |
+
SELECT course_description FROM Courses WHERE course_name = 'math' student_transcripts_tracking
|
| 257 |
+
SELECT course_description FROM Courses WHERE course_name = 'math' student_transcripts_tracking
|
| 258 |
+
SELECT zip_postcode FROM Addresses WHERE city = 'Port Chelsea' student_transcripts_tracking
|
| 259 |
+
SELECT zip_postcode FROM Addresses WHERE city = 'Port Chelsea' student_transcripts_tracking
|
| 260 |
+
SELECT T1.last_name FROM Students AS T1 JOIN Addresses AS T2 ON T1.current_address_id = T2.address_id WHERE T2.state_province_county = 'NorthCarolina' EXCEPT SELECT DISTINCT T3.last_name FROM Students AS T3 JOIN Student_Enrolment AS T4 ON T3.student_id = T4.student_id student_transcripts_tracking
|
| 261 |
+
SELECT T1.last_name FROM Students AS T1 JOIN Addresses AS T2 ON T1.current_address_id = T2.address_id WHERE T2.state_province_county = 'NorthCarolina' EXCEPT SELECT DISTINCT T3.last_name FROM Students AS T3 JOIN Student_Enrolment AS T4 ON T3.student_id = T4.student_id student_transcripts_tracking
|
| 262 |
+
SELECT cell_mobile_number FROM Students WHERE first_name = 'Timmothy' AND last_name = 'Ward' student_transcripts_tracking
|
| 263 |
+
select cell_mobile_number from students where first_name = 'timmothy' and last_name = 'ward' student_transcripts_tracking
|
| 264 |
+
SELECT first_name , middle_name , last_name FROM Students ORDER BY date_first_registered ASC LIMIT 1 student_transcripts_tracking
|
| 265 |
+
SELECT first_name , middle_name , last_name FROM Students ORDER BY date_left ASC LIMIT 1 student_transcripts_tracking
|
| 266 |
+
SELECT first_name , middle_name , last_name FROM Students ORDER BY date_left ASC LIMIT 1 student_transcripts_tracking
|
| 267 |
+
SELECT T1.address_id , T1.line_1 , T1.line_2 FROM Addresses AS T1 JOIN Students AS T2 ON T1.address_id = T2.current_address_id GROUP BY T1.address_id ORDER BY count(*) DESC LIMIT 1 student_transcripts_tracking
|
| 268 |
+
SELECT T1.address_id , T1.line_1 , T1.line_2 FROM Addresses AS T1 JOIN Students AS T2 ON T1.address_id = T2.current_address_id GROUP BY T1.address_id ORDER BY count(*) DESC LIMIT 1 student_transcripts_tracking
|
| 269 |
+
SELECT DISTINCT T2.semester_id FROM Degree_Programs AS T1 JOIN Student_Enrolment AS T2 ON T1.degree_program_id = T2.degree_program_id WHERE degree_summary_name = 'Master' INTERSECT SELECT DISTINCT T2.semester_id FROM Degree_Programs AS T1 JOIN Student_Enrolment AS T2 ON T1.degree_program_id = T2.degree_program_id WHERE degree_summary_name = 'Bachelor' student_transcripts_tracking
|
| 270 |
+
SELECT DISTINCT T2.semester_id FROM Degree_Programs AS T1 JOIN Student_Enrolment AS T2 ON T1.degree_program_id = T2.degree_program_id WHERE degree_summary_name = 'Master' INTERSECT SELECT DISTINCT T2.semester_id FROM Degree_Programs AS T1 JOIN Student_Enrolment AS T2 ON T1.degree_program_id = T2.degree_program_id WHERE degree_summary_name = 'Bachelor' student_transcripts_tracking
|
| 271 |
+
select t1.first_name from students as t1 join addresses as t2 on t1.permanent_address_id = t2.address_id where t2.country = 'haiti' or t1.cell_mobile_number = '09700166582' student_transcripts_tracking
|
| 272 |
+
select t1.first_name from students as t1 join addresses as t2 on t1.permanent_address_id = t2.address_id where t2.country = 'haiti' or t1.cell_mobile_number = '09700166582' student_transcripts_tracking
|
| 273 |
+
SELECT Title FROM Cartoon ORDER BY title tvshow
|
| 274 |
+
SELECT Title FROM Cartoon ORDER BY title tvshow
|
| 275 |
+
SELECT Title FROM Cartoon WHERE Directed_by = "Ben Jones"; tvshow
|
| 276 |
+
SELECT Title FROM Cartoon WHERE Directed_by = "Ben Jones"; tvshow
|
| 277 |
+
SELECT count(*) FROM Cartoon WHERE Written_by = "Joseph Kuhr"; tvshow
|
| 278 |
+
SELECT count(*) FROM Cartoon WHERE Written_by = "Joseph Kuhr"; tvshow
|
| 279 |
+
SELECT title , Directed_by FROM Cartoon ORDER BY Original_air_date tvshow
|
| 280 |
+
SELECT title , Directed_by FROM Cartoon ORDER BY Original_air_date tvshow
|
| 281 |
+
SELECT Title FROM Cartoon WHERE Directed_by = "Ben Jones" OR Directed_by = "Brandon Vietti"; tvshow
|
| 282 |
+
SELECT Title FROM Cartoon WHERE Directed_by = "Ben Jones" OR Directed_by = "Brandon Vietti"; tvshow
|
| 283 |
+
SELECT Country , count(*) FROM TV_Channel GROUP BY Country ORDER BY count(*) DESC LIMIT 1; tvshow
|
| 284 |
+
SELECT Country , count(*) FROM TV_Channel GROUP BY Country ORDER BY count(*) DESC LIMIT 1; tvshow
|
| 285 |
+
SELECT Content FROM TV_Channel WHERE series_name = "Sky Radio"; tvshow
|
| 286 |
+
SELECT Content FROM TV_Channel WHERE series_name = "Sky Radio"; tvshow
|
| 287 |
+
SELECT Package_Option FROM TV_Channel WHERE series_name = "Sky Radio"; tvshow
|
| 288 |
+
SELECT count(*) FROM TV_Channel WHERE LANGUAGE = "English"; tvshow
|
| 289 |
+
SELECT count(*) FROM TV_Channel WHERE LANGUAGE = "English"; tvshow
|
| 290 |
+
SELECT T1.series_name FROM TV_Channel AS T1 JOIN Cartoon AS T2 ON T1.id = T2.Channel WHERE T2.Title = "The Rise of the Blue Beetle!"; tvshow
|
| 291 |
+
SELECT T1.series_name FROM TV_Channel AS T1 JOIN Cartoon AS T2 ON T1.id = T2.Channel WHERE T2.Title = "The Rise of the Blue Beetle!"; tvshow
|
| 292 |
+
SELECT T2.Title FROM TV_Channel AS T1 JOIN Cartoon AS T2 ON T1.id = T2.Channel WHERE T1.series_name = "Sky Radio"; tvshow
|
| 293 |
+
SELECT T2.Title FROM TV_Channel AS T1 JOIN Cartoon AS T2 ON T1.id = T2.Channel WHERE T1.series_name = "Sky Radio"; tvshow
|
| 294 |
+
SELECT Air_Date FROM TV_series WHERE Episode = "A Love of a Lifetime"; tvshow
|
| 295 |
+
SELECT Air_Date FROM TV_series WHERE Episode = "A Love of a Lifetime"; tvshow
|
| 296 |
+
SELECT Weekly_Rank FROM TV_series WHERE Episode = "A Love of a Lifetime"; tvshow
|
| 297 |
+
SELECT Weekly_Rank FROM TV_series WHERE Episode = "A Love of a Lifetime"; tvshow
|
| 298 |
+
SELECT T1.series_name FROM TV_Channel AS T1 JOIN TV_series AS T2 ON T1.id = T2.Channel WHERE T2.Episode = "A Love of a Lifetime"; tvshow
|
| 299 |
+
SELECT T1.series_name FROM TV_Channel AS T1 JOIN TV_series AS T2 ON T1.id = T2.Channel WHERE T2.Episode = "A Love of a Lifetime"; tvshow
|
| 300 |
+
SELECT T2.Episode FROM TV_Channel AS T1 JOIN TV_series AS T2 ON T1.id = T2.Channel WHERE T1.series_name = "Sky Radio"; tvshow
|
| 301 |
+
SELECT T2.Episode FROM TV_Channel AS T1 JOIN TV_series AS T2 ON T1.id = T2.Channel WHERE T1.series_name = "Sky Radio"; tvshow
|
| 302 |
+
SELECT count(*) , Directed_by FROM cartoon GROUP BY Directed_by tvshow
|
| 303 |
+
SELECT count(*) , Directed_by FROM cartoon GROUP BY Directed_by tvshow
|
| 304 |
+
select production_code , channel from cartoon order by original_air_date desc limit 1 tvshow
|
| 305 |
+
select production_code , channel from cartoon order by original_air_date desc limit 1 tvshow
|
| 306 |
+
SELECT package_option , series_name FROM TV_Channel WHERE hight_definition_TV = "yes" tvshow
|
| 307 |
+
SELECT package_option , series_name FROM TV_Channel WHERE hight_definition_TV = "yes" tvshow
|
| 308 |
+
SELECT T1.country FROM TV_Channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.Channel WHERE T2.written_by = 'Todd Casey' tvshow
|
| 309 |
+
SELECT T1.country FROM TV_Channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.Channel WHERE T2.written_by = 'Todd Casey' tvshow
|
| 310 |
+
SELECT country FROM TV_Channel EXCEPT SELECT T1.country FROM TV_Channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.Channel WHERE T2.written_by = 'Todd Casey' tvshow
|
| 311 |
+
SELECT country FROM TV_Channel EXCEPT SELECT T1.country FROM TV_Channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.Channel WHERE T2.written_by = 'Todd Casey' tvshow
|
| 312 |
+
SELECT T1.series_name , T1.country FROM TV_Channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.Channel WHERE T2.directed_by = 'Michael Chang' INTERSECT SELECT T1.series_name , T1.country FROM TV_Channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.Channel WHERE T2.directed_by = 'Ben Jones' tvshow
|
| 313 |
+
SELECT T1.series_name , T1.country FROM TV_Channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.Channel WHERE T2.directed_by = 'Michael Chang' INTERSECT SELECT T1.series_name , T1.country FROM TV_Channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.Channel WHERE T2.directed_by = 'Ben Jones' tvshow
|
| 314 |
+
SELECT Pixel_aspect_ratio_PAR , country FROM tv_channel WHERE LANGUAGE != 'English' tvshow
|
| 315 |
+
SELECT Pixel_aspect_ratio_PAR , country FROM tv_channel WHERE LANGUAGE != 'English' tvshow
|
| 316 |
+
SELECT id FROM tv_channel GROUP BY country HAVING count(*) > 2 tvshow
|
| 317 |
+
SELECT id FROM TV_Channel EXCEPT SELECT channel FROM cartoon WHERE directed_by = 'Ben Jones' tvshow
|
| 318 |
+
SELECT id FROM TV_Channel EXCEPT SELECT channel FROM cartoon WHERE directed_by = 'Ben Jones' tvshow
|
| 319 |
+
SELECT package_option FROM TV_Channel WHERE id NOT IN (SELECT channel FROM cartoon WHERE directed_by = 'Ben Jones') tvshow
|
| 320 |
+
SELECT package_option FROM TV_Channel WHERE id NOT IN (SELECT channel FROM cartoon WHERE directed_by = 'Ben Jones') tvshow
|
| 321 |
+
SELECT Earnings FROM poker_player ORDER BY Earnings DESC poker_player
|
| 322 |
+
SELECT T2.Money_Rank FROM people AS T1 JOIN poker_player AS T2 ON T1.People_ID = T2.People_ID ORDER BY T1.Height DESC LIMIT 1 poker_player
|
| 323 |
+
SELECT T2.Money_Rank FROM people AS T1 JOIN poker_player AS T2 ON T1.People_ID = T2.People_ID ORDER BY T1.Height DESC LIMIT 1 poker_player
|
| 324 |
+
SELECT avg(T2.Earnings) FROM people AS T1 JOIN poker_player AS T2 ON T1.People_ID = T2.People_ID WHERE T1.Height > 200 poker_player
|
| 325 |
+
SELECT avg(T2.Earnings) FROM people AS T1 JOIN poker_player AS T2 ON T1.People_ID = T2.People_ID WHERE T1.Height > 200 poker_player
|
| 326 |
+
SELECT Nationality , COUNT(*) FROM people GROUP BY Nationality poker_player
|
| 327 |
+
SELECT Nationality , COUNT(*) FROM people GROUP BY Nationality poker_player
|
| 328 |
+
SELECT Nationality FROM people GROUP BY Nationality HAVING COUNT(*) >= 2 poker_player
|
| 329 |
+
SELECT Name FROM people WHERE Nationality != "Russia" poker_player
|
| 330 |
+
SELECT Name FROM people WHERE Nationality != "Russia" poker_player
|
| 331 |
+
SELECT max(created) FROM votes WHERE state = 'CA' voter_1
|
| 332 |
+
SELECT count(*) FROM votes WHERE state = 'NY' OR state = 'CA' voter_1
|
| 333 |
+
SELECT T2.created , T2.state , T2.phone_number FROM contestants AS T1 JOIN votes AS T2 ON T1.contestant_number = T2.contestant_number WHERE T1.contestant_name = 'Tabatha Gehling' voter_1
|
| 334 |
+
SELECT T3.area_code FROM contestants AS T1 JOIN votes AS T2 ON T1.contestant_number = T2.contestant_number JOIN area_code_state AS T3 ON T2.state = T3.state WHERE T1.contestant_name = 'Tabatha Gehling' INTERSECT SELECT T3.area_code FROM contestants AS T1 JOIN votes AS T2 ON T1.contestant_number = T2.contestant_number JOIN area_code_state AS T3 ON T2.state = T3.state WHERE T1.contestant_name = 'Kelly Clauss' voter_1
|
| 335 |
+
SELECT Name FROM country WHERE IndepYear > 1950 world_1
|
| 336 |
+
SELECT Name FROM country WHERE IndepYear > 1950 world_1
|
| 337 |
+
SELECT count(*) FROM country WHERE GovernmentForm = "Republic" world_1
|
| 338 |
+
SELECT count(*) FROM country WHERE GovernmentForm = "Republic" world_1
|
| 339 |
+
SELECT sum(SurfaceArea) FROM country WHERE Region = "Caribbean" world_1
|
| 340 |
+
SELECT sum(SurfaceArea) FROM country WHERE Region = "Caribbean" world_1
|
| 341 |
+
SELECT Continent FROM country WHERE Name = "Anguilla" world_1
|
| 342 |
+
SELECT Continent FROM country WHERE Name = "Anguilla" world_1
|
| 343 |
+
SELECT Region FROM country AS T1 JOIN city AS T2 ON T1.Code = T2.CountryCode WHERE T2.Name = "Kabul" world_1
|
| 344 |
+
SELECT Region FROM country AS T1 JOIN city AS T2 ON T1.Code = T2.CountryCode WHERE T2.Name = "Kabul" world_1
|
| 345 |
+
SELECT T2.Language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Name = "Aruba" ORDER BY Percentage DESC LIMIT 1 world_1
|
| 346 |
+
SELECT T2.Language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Name = "Aruba" ORDER BY Percentage DESC LIMIT 1 world_1
|
| 347 |
+
SELECT Population , LifeExpectancy FROM country WHERE Name = "Brazil" world_1
|
| 348 |
+
SELECT Population , LifeExpectancy FROM country WHERE Name = "Brazil" world_1
|
| 349 |
+
SELECT Population , Region FROM country WHERE Name = "Angola" world_1
|
| 350 |
+
SELECT Population , Region FROM country WHERE Name = "Angola" world_1
|
| 351 |
+
SELECT avg(LifeExpectancy) FROM country WHERE Region = "Central Africa" world_1
|
| 352 |
+
SELECT avg(LifeExpectancy) FROM country WHERE Region = "Central Africa" world_1
|
| 353 |
+
SELECT Name FROM country WHERE Continent = "Asia" ORDER BY LifeExpectancy LIMIT 1 world_1
|
| 354 |
+
SELECT Name FROM country WHERE Continent = "Asia" ORDER BY LifeExpectancy LIMIT 1 world_1
|
| 355 |
+
SELECT sum(Population) , max(GNP) FROM country WHERE Continent = "Asia" world_1
|
| 356 |
+
SELECT sum(Population) , max(GNP) FROM country WHERE Continent = "Asia" world_1
|
| 357 |
+
SELECT avg(LifeExpectancy) FROM country WHERE Continent = "Africa" AND GovernmentForm = "Republic" world_1
|
| 358 |
+
SELECT avg(LifeExpectancy) FROM country WHERE Continent = "Africa" AND GovernmentForm = "Republic" world_1
|
| 359 |
+
SELECT sum(SurfaceArea) FROM country WHERE Continent = "Asia" OR Continent = "Europe" world_1
|
| 360 |
+
SELECT sum(SurfaceArea) FROM country WHERE Continent = "Asia" OR Continent = "Europe" world_1
|
| 361 |
+
SELECT sum(Population) FROM city WHERE District = "Gelderland" world_1
|
| 362 |
+
SELECT sum(Population) FROM city WHERE District = "Gelderland" world_1
|
| 363 |
+
SELECT avg(GNP) , sum(population) FROM country WHERE GovernmentForm = "US Territory" world_1
|
| 364 |
+
SELECT avg(GNP) , sum(population) FROM country WHERE GovernmentForm = "US Territory" world_1
|
| 365 |
+
SELECT count(DISTINCT GovernmentForm) FROM country WHERE Continent = "Africa" world_1
|
| 366 |
+
SELECT count(DISTINCT GovernmentForm) FROM country WHERE Continent = "Africa" world_1
|
| 367 |
+
SELECT COUNT(T2.Language) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Name = "Aruba" world_1
|
| 368 |
+
SELECT COUNT(T2.Language) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Name = "Aruba" world_1
|
| 369 |
+
SELECT COUNT(*) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Name = "Afghanistan" AND IsOfficial = "T" world_1
|
| 370 |
+
SELECT COUNT(*) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Name = "Afghanistan" AND IsOfficial = "T" world_1
|
| 371 |
+
SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode GROUP BY T1.Name ORDER BY COUNT(*) DESC LIMIT 1 world_1
|
| 372 |
+
SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode GROUP BY T1.Name ORDER BY COUNT(*) DESC LIMIT 1 world_1
|
| 373 |
+
SELECT T1.Continent FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode GROUP BY T1.Continent ORDER BY COUNT(*) DESC LIMIT 1 world_1
|
| 374 |
+
SELECT T1.Continent FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode GROUP BY T1.Continent ORDER BY COUNT(*) DESC LIMIT 1 world_1
|
| 375 |
+
SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "English" INTERSECT SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "French" world_1
|
| 376 |
+
SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "English" INTERSECT SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "French" world_1
|
| 377 |
+
SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "English" AND T2.IsOfficial = "T" INTERSECT SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "French" AND T2.IsOfficial = "T" world_1
|
| 378 |
+
SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "English" AND T2.IsOfficial = "T" INTERSECT SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "French" AND T2.IsOfficial = "T" world_1
|
| 379 |
+
SELECT COUNT( DISTINCT Continent) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "Chinese" world_1
|
| 380 |
+
SELECT COUNT( DISTINCT Continent) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "Chinese" world_1
|
| 381 |
+
SELECT DISTINCT T1.Region FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "English" OR T2.Language = "Dutch" world_1
|
| 382 |
+
SELECT DISTINCT T1.Region FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "English" OR T2.Language = "Dutch" world_1
|
| 383 |
+
select t1.name from country as t1 join countrylanguage as t2 on t1.code = t2.countrycode where t2.language = "english" and isofficial = "t" union select t1.name from country as t1 join countrylanguage as t2 on t1.code = t2.countrycode where t2.language = "dutch" and isofficial = "t" world_1
|
| 384 |
+
SELECT T2.Language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Continent = "Asia" GROUP BY T2.Language ORDER BY COUNT (*) DESC LIMIT 1 world_1
|
| 385 |
+
SELECT T2.Language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Continent = "Asia" GROUP BY T2.Language ORDER BY COUNT (*) DESC LIMIT 1 world_1
|
| 386 |
+
SELECT T2.Language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.GovernmentForm = "Republic" GROUP BY T2.Language HAVING COUNT(*) = 1 world_1
|
| 387 |
+
SELECT T2.Language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.GovernmentForm = "Republic" GROUP BY T2.Language HAVING COUNT(*) = 1 world_1
|
| 388 |
+
SELECT T1.Name , T1.Population FROM city AS T1 JOIN countrylanguage AS T2 ON T1.CountryCode = T2.CountryCode WHERE T2.Language = "English" ORDER BY T1.Population DESC LIMIT 1 world_1
|
| 389 |
+
SELECT T1.Name , T1.Population FROM city AS T1 JOIN countrylanguage AS T2 ON T1.CountryCode = T2.CountryCode WHERE T2.Language = "English" ORDER BY T1.Population DESC LIMIT 1 world_1
|
| 390 |
+
SELECT Name , Population , LifeExpectancy FROM country WHERE Continent = "Asia" ORDER BY SurfaceArea DESC LIMIT 1 world_1
|
| 391 |
+
SELECT avg(LifeExpectancy) FROM country WHERE Name NOT IN (SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "English" AND T2.IsOfficial = "T") world_1
|
| 392 |
+
SELECT avg(LifeExpectancy) FROM country WHERE Name NOT IN (SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "English" AND T2.IsOfficial = "T") world_1
|
| 393 |
+
SELECT sum(Population) FROM country WHERE Name NOT IN (SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "English") world_1
|
| 394 |
+
SELECT sum(Population) FROM country WHERE Name NOT IN (SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "English") world_1
|
| 395 |
+
SELECT T2.Language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.HeadOfState = "Beatrix" AND T2.IsOfficial = "T" world_1
|
| 396 |
+
SELECT T2.Language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.HeadOfState = "Beatrix" AND T2.IsOfficial = "T" world_1
|
| 397 |
+
SELECT count(DISTINCT T2.Language) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE IndepYear < 1930 AND T2.IsOfficial = "T" world_1
|
| 398 |
+
SELECT count(DISTINCT T2.Language) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE IndepYear < 1930 AND T2.IsOfficial = "T" world_1
|
| 399 |
+
SELECT Name FROM country WHERE SurfaceArea > (SELECT min(SurfaceArea) FROM country WHERE Continent = "Europe") world_1
|
| 400 |
+
SELECT Name FROM country WHERE SurfaceArea > (SELECT min(SurfaceArea) FROM country WHERE Continent = "Europe") world_1
|
| 401 |
+
SELECT Name FROM country WHERE Continent = "Africa" AND population < (SELECT max(population) FROM country WHERE Continent = "Asia") world_1
|
| 402 |
+
SELECT Name FROM country WHERE Continent = "Africa" AND population < (SELECT min(population) FROM country WHERE Continent = "Asia") world_1
|
| 403 |
+
SELECT Name FROM country WHERE Continent = "Asia" AND population > (SELECT max(population) FROM country WHERE Continent = "Africa") world_1
|
| 404 |
+
SELECT Name FROM country WHERE Continent = "Asia" AND population > (SELECT min(population) FROM country WHERE Continent = "Africa") world_1
|
| 405 |
+
SELECT CountryCode FROM countrylanguage EXCEPT SELECT CountryCode FROM countrylanguage WHERE LANGUAGE = "English" world_1
|
| 406 |
+
SELECT CountryCode FROM countrylanguage EXCEPT SELECT CountryCode FROM countrylanguage WHERE LANGUAGE = "English" world_1
|
| 407 |
+
SELECT DISTINCT CountryCode FROM countrylanguage WHERE LANGUAGE != "English" world_1
|
| 408 |
+
SELECT DISTINCT CountryCode FROM countrylanguage WHERE LANGUAGE != "English" world_1
|
| 409 |
+
SELECT Code FROM country WHERE GovernmentForm != "Republic" EXCEPT SELECT CountryCode FROM countrylanguage WHERE LANGUAGE = "English" world_1
|
| 410 |
+
SELECT Code FROM country WHERE GovernmentForm != "Republic" EXCEPT SELECT CountryCode FROM countrylanguage WHERE LANGUAGE = "English" world_1
|
| 411 |
+
SELECT DISTINCT T2.Name FROM country AS T1 JOIN city AS T2 ON T2.CountryCode = T1.Code WHERE T1.Continent = 'Europe' AND T1.Name NOT IN (SELECT T3.Name FROM country AS T3 JOIN countrylanguage AS T4 ON T3.Code = T4.CountryCode WHERE T4.IsOfficial = 'T' AND T4.Language = 'English') world_1
|
| 412 |
+
select distinct t3.name from country as t1 join countrylanguage as t2 on t1.code = t2.countrycode join city as t3 on t1.code = t3.countrycode where t2.isofficial = 't' and t2.language = 'chinese' and t1.continent = "asia" world_1
|
| 413 |
+
SELECT DISTINCT T3.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode JOIN city AS T3 ON T1.Code = T3.CountryCode WHERE T2.IsOfficial = 'T' AND T2.Language = 'Chinese' AND T1.Continent = "Asia" world_1
|
| 414 |
+
SELECT Name , SurfaceArea , IndepYear FROM country ORDER BY Population LIMIT 1 world_1
|
| 415 |
+
SELECT Name , SurfaceArea , IndepYear FROM country ORDER BY Population LIMIT 1 world_1
|
| 416 |
+
SELECT Name , population , HeadOfState FROM country ORDER BY SurfaceArea DESC LIMIT 1 world_1
|
| 417 |
+
SELECT count(*) , District FROM city WHERE Population > (SELECT avg(Population) FROM city) GROUP BY District world_1
|
| 418 |
+
SELECT count(*) , District FROM city WHERE Population > (SELECT avg(Population) FROM city) GROUP BY District world_1
|
| 419 |
+
SELECT Name , SurfaceArea FROM country ORDER BY SurfaceArea DESC LIMIT 5 world_1
|
| 420 |
+
SELECT Name FROM country ORDER BY Population DESC LIMIT 3 world_1
|
| 421 |
+
SELECT Name FROM country ORDER BY Population DESC LIMIT 3 world_1
|
| 422 |
+
SELECT Name FROM country ORDER BY Population ASC LIMIT 3 world_1
|
| 423 |
+
SELECT Name FROM country ORDER BY Population ASC LIMIT 3 world_1
|
| 424 |
+
SELECT count(*) FROM country WHERE continent = "Asia" world_1
|
| 425 |
+
SELECT count(*) FROM country WHERE continent = "Asia" world_1
|
| 426 |
+
SELECT Name FROM country WHERE continent = "Europe" AND Population = "80000" world_1
|
| 427 |
+
SELECT Name FROM country WHERE continent = "Europe" AND Population = "80000" world_1
|
| 428 |
+
select sum(population) , avg(surfacearea) from country where continent = "north america" and surfacearea > 3000 world_1
|
| 429 |
+
select sum(population) , avg(surfacearea) from country where continent = "north america" and surfacearea > 3000 world_1
|
| 430 |
+
SELECT name FROM city WHERE Population BETWEEN 160000 AND 900000 world_1
|
| 431 |
+
select name from city where population between 160000 and 900000 world_1
|
| 432 |
+
SELECT LANGUAGE , CountryCode , max(Percentage) FROM countrylanguage GROUP BY CountryCode world_1
|
| 433 |
+
SELECT LANGUAGE , CountryCode , max(Percentage) FROM countrylanguage GROUP BY CountryCode world_1
|
| 434 |
+
SELECT count(*) , max(Percentage) FROM countrylanguage WHERE LANGUAGE = "Spanish" GROUP BY CountryCode world_1
|
| 435 |
+
SELECT count(*) , max(Percentage) FROM countrylanguage WHERE LANGUAGE = "Spanish" GROUP BY CountryCode world_1
|
| 436 |
+
SELECT CountryCode , max(Percentage) FROM countrylanguage WHERE LANGUAGE = "Spanish" GROUP BY CountryCode world_1
|
| 437 |
+
SELECT CountryCode , max(Percentage) FROM countrylanguage WHERE LANGUAGE = "Spanish" GROUP BY CountryCode world_1
|
| 438 |
+
SELECT Name FROM conductor ORDER BY Age ASC orchestra
|
| 439 |
+
SELECT Name FROM conductor ORDER BY Age ASC orchestra
|
| 440 |
+
SELECT Name FROM conductor WHERE Nationality != 'USA' orchestra
|
| 441 |
+
SELECT Name FROM conductor WHERE Nationality != 'USA' orchestra
|
| 442 |
+
SELECT Record_Company FROM orchestra ORDER BY Year_of_Founded DESC orchestra
|
| 443 |
+
SELECT Record_Company FROM orchestra ORDER BY Year_of_Founded DESC orchestra
|
| 444 |
+
SELECT COUNT(*) FROM orchestra WHERE Major_Record_Format = "CD" OR Major_Record_Format = "DVD" orchestra
|
| 445 |
+
SELECT grade FROM Highschooler WHERE name = "Kyle" network_1
|
| 446 |
+
SELECT grade FROM Highschooler WHERE name = "Kyle" network_1
|
| 447 |
+
SELECT name FROM Highschooler WHERE grade = 10 network_1
|
| 448 |
+
SELECT name FROM Highschooler WHERE grade = 10 network_1
|
| 449 |
+
SELECT ID FROM Highschooler WHERE name = "Kyle" network_1
|
| 450 |
+
SELECT ID FROM Highschooler WHERE name = "Kyle" network_1
|
| 451 |
+
SELECT count(*) FROM Highschooler WHERE grade = 9 OR grade = 10 network_1
|
| 452 |
+
SELECT count(*) FROM Highschooler WHERE grade = 9 OR grade = 10 network_1
|
| 453 |
+
SELECT grade , count(*) FROM Highschooler GROUP BY grade network_1
|
| 454 |
+
SELECT grade , count(*) FROM Highschooler GROUP BY grade network_1
|
| 455 |
+
SELECT grade FROM Highschooler GROUP BY grade ORDER BY count(*) DESC LIMIT 1 network_1
|
| 456 |
+
SELECT T3.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id JOIN Highschooler AS T3 ON T1.friend_id = T3.id WHERE T2.name = "Kyle" network_1
|
| 457 |
+
SELECT T3.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id JOIN Highschooler AS T3 ON T1.friend_id = T3.id WHERE T2.name = "Kyle" network_1
|
| 458 |
+
SELECT count(*) FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id WHERE T2.name = "Kyle" network_1
|
| 459 |
+
SELECT count(*) FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id WHERE T2.name = "Kyle" network_1
|
| 460 |
+
SELECT count(*) FROM Likes AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id WHERE T2.name = "Kyle" network_1
|
| 461 |
+
SELECT count(*) FROM Likes AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id WHERE T2.name = "Kyle" network_1
|
| 462 |
+
SELECT avg(grade) FROM Highschooler WHERE id IN (SELECT T1.student_id FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id) network_1
|
| 463 |
+
SELECT avg(grade) FROM Highschooler WHERE id IN (SELECT T1.student_id FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id) network_1
|
| 464 |
+
SELECT min(grade) FROM Highschooler WHERE id NOT IN (SELECT T1.student_id FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id) network_1
|
| 465 |
+
SELECT min(grade) FROM Highschooler WHERE id NOT IN (SELECT T1.student_id FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id) network_1
|
| 466 |
+
SELECT professional_id , last_name , cell_number FROM Professionals WHERE state = 'Indiana' UNION SELECT T1.professional_id , T1.last_name , T1.cell_number FROM Professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id = T2.professional_id GROUP BY T1.professional_id HAVING count(*) > 2 dog_kennels
|
| 467 |
+
SELECT professional_id , last_name , cell_number FROM Professionals WHERE state = 'Indiana' UNION SELECT T1.professional_id , T1.last_name , T1.cell_number FROM Professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id = T2.professional_id GROUP BY T1.professional_id HAVING count(*) > 2 dog_kennels
|
| 468 |
+
select name from dogs where dog_id not in ( select dog_id from treatments group by dog_id having sum(cost_of_treatment) > 1000 ) dog_kennels
|
| 469 |
+
SELECT T1.owner_id , T2.first_name , T2.last_name FROM Dogs AS T1 JOIN Owners AS T2 ON T1.owner_id = T2.owner_id GROUP BY T1.owner_id ORDER BY count(*) DESC LIMIT 1 dog_kennels
|
| 470 |
+
SELECT T1.owner_id , T2.first_name , T2.last_name FROM Dogs AS T1 JOIN Owners AS T2 ON T1.owner_id = T2.owner_id GROUP BY T1.owner_id ORDER BY count(*) DESC LIMIT 1 dog_kennels
|
| 471 |
+
SELECT T1.professional_id , T1.role_code , T1.first_name FROM Professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id = T2.professional_id GROUP BY T1.professional_id HAVING count(*) >= 2 dog_kennels
|
| 472 |
+
SELECT T1.professional_id , T1.role_code , T1.first_name FROM Professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id = T2.professional_id GROUP BY T1.professional_id HAVING count(*) >= 2 dog_kennels
|
| 473 |
+
SELECT T1.treatment_type_description FROM Treatment_types AS T1 JOIN Treatments AS T2 ON T1.treatment_type_code = T2.treatment_type_code GROUP BY T1.treatment_type_code ORDER BY sum(cost_of_treatment) ASC LIMIT 1 dog_kennels
|
| 474 |
+
SELECT T1.treatment_type_description FROM Treatment_types AS T1 JOIN Treatments AS T2 ON T1.treatment_type_code = T2.treatment_type_code GROUP BY T1.treatment_type_code ORDER BY sum(cost_of_treatment) ASC LIMIT 1 dog_kennels
|
| 475 |
+
SELECT T1.owner_id , T1.zip_code FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id = T2.owner_id JOIN Treatments AS T3 ON T2.dog_id = T3.dog_id GROUP BY T1.owner_id ORDER BY sum(T3.cost_of_treatment) DESC LIMIT 1 dog_kennels
|
| 476 |
+
SELECT T1.owner_id , T1.zip_code FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id = T2.owner_id JOIN Treatments AS T3 ON T2.dog_id = T3.dog_id GROUP BY T1.owner_id ORDER BY sum(T3.cost_of_treatment) DESC LIMIT 1 dog_kennels
|
| 477 |
+
SELECT DISTINCT T1.first_name , T1.last_name FROM Professionals AS T1 JOIN Treatments AS T2 WHERE cost_of_treatment < ( SELECT avg(cost_of_treatment) FROM Treatments ) dog_kennels
|
| 478 |
+
SELECT DISTINCT T1.first_name , T1.last_name FROM Professionals AS T1 JOIN Treatments AS T2 WHERE cost_of_treatment < ( SELECT avg(cost_of_treatment) FROM Treatments ) dog_kennels
|
| 479 |
+
SELECT T1.first_name , T2.name FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id = T2.owner_id WHERE T1.state = 'Virginia' dog_kennels
|
| 480 |
+
SELECT T1.first_name , T2.name FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id = T2.owner_id WHERE T1.state = 'Virginia' dog_kennels
|
| 481 |
+
SELECT T1.last_name FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id = T2.owner_id WHERE T2.age = ( SELECT max(age) FROM Dogs ) dog_kennels
|
| 482 |
+
SELECT T1.last_name FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id = T2.owner_id WHERE T2.age = ( SELECT max(age) FROM Dogs ) dog_kennels
|
| 483 |
+
SELECT email_address FROM Professionals WHERE state = 'Hawaii' OR state = 'Wisconsin' dog_kennels
|
| 484 |
+
SELECT email_address FROM Professionals WHERE state = 'Hawaii' OR state = 'Wisconsin' dog_kennels
|
| 485 |
+
SELECT count(*) FROM Dogs WHERE age < ( SELECT avg(age) FROM Dogs ) dog_kennels
|
| 486 |
+
SELECT count(*) FROM Dogs WHERE age < ( SELECT avg(age) FROM Dogs ) dog_kennels
|
| 487 |
+
SELECT cost_of_treatment FROM Treatments ORDER BY date_of_treatment DESC LIMIT 1 dog_kennels
|
| 488 |
+
SELECT cost_of_treatment FROM Treatments ORDER BY date_of_treatment DESC LIMIT 1 dog_kennels
|
| 489 |
+
SELECT name , age , weight FROM Dogs WHERE abandoned_yn = 1 dog_kennels
|
| 490 |
+
SELECT name , age , weight FROM Dogs WHERE abandoned_yn = 1 dog_kennels
|
| 491 |
+
SELECT Name FROM singer ORDER BY Net_Worth_Millions ASC singer
|
| 492 |
+
SELECT Name FROM singer ORDER BY Net_Worth_Millions ASC singer
|
| 493 |
+
SELECT Name FROM singer WHERE Citizenship != "France" singer
|
| 494 |
+
SELECT Name FROM singer WHERE Citizenship != "France" singer
|
| 495 |
+
SELECT Name FROM singer WHERE Birth_Year = 1948 OR Birth_Year = 1949 singer
|
| 496 |
+
SELECT Name FROM singer WHERE Birth_Year = 1948 OR Birth_Year = 1949 singer
|
| 497 |
+
SELECT Name FROM singer ORDER BY Net_Worth_Millions DESC LIMIT 1 singer
|
| 498 |
+
SELECT Citizenship , COUNT(*) FROM singer GROUP BY Citizenship singer
|
| 499 |
+
SELECT Citizenship , COUNT(*) FROM singer GROUP BY Citizenship singer
|
| 500 |
+
SELECT Citizenship FROM singer GROUP BY Citizenship ORDER BY COUNT(*) DESC LIMIT 1 singer
|
| 501 |
+
select citizenship from singer group by citizenship order by count(*) desc limit 1 singer
|
| 502 |
+
SELECT Citizenship , max(Net_Worth_Millions) FROM singer GROUP BY Citizenship singer
|
| 503 |
+
SELECT Citizenship , max(Net_Worth_Millions) FROM singer GROUP BY Citizenship singer
|
| 504 |
+
SELECT DISTINCT T1.Name FROM singer AS T1 JOIN song AS T2 ON T1.Singer_ID = T2.Singer_ID WHERE T2.Sales > 300000 singer
|
| 505 |
+
SELECT DISTINCT T1.Name FROM singer AS T1 JOIN song AS T2 ON T1.Singer_ID = T2.Singer_ID WHERE T2.Sales > 300000 singer
|
| 506 |
+
SELECT Citizenship FROM singer WHERE Birth_Year < 1945 INTERSECT SELECT Citizenship FROM singer WHERE Birth_Year > 1955 singer
|
| 507 |
+
SELECT Citizenship FROM singer WHERE Birth_Year < 1945 INTERSECT SELECT Citizenship FROM singer WHERE Birth_Year > 1955 singer
|
| 508 |
+
SELECT property_name FROM Properties WHERE property_type_code = "House" UNION SELECT property_name FROM Properties WHERE property_type_code = "Apartment" AND room_count > 1 real_estate_properties
|
text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/formatted_data/baselines_train_amid_spider_amid_adaptive-amid_ab_pr_0.5_0.5_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt218__test.meta.jsonl
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
text2sql_distillation_draft/results/infer/llama_baselines/llama_all_ckpts_recursive/spider_realistic/seed10/formatted_data/baselines_train_amid_spider_amid_adaptive-amid_ab_pr_0.5_0.5_e5-bs2-lr0.0001-G8-N2-NN1-kd0.7-lora-16-64-0.1__ckpt218__test.pred.sql
ADDED
|
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|
|
| 1 |
+
SELECT name, country, age FROM singer ORDER BY age
|
| 2 |
+
SELECT avg(Age), min(Age), max(Age) FROM singer WHERE Country = 'France'
|
| 3 |
+
SELECT avg(Age), min(Age), max(Age) FROM singer WHERE country = 'France'
|
| 4 |
+
SELECT Song_Name, Song_release_year FROM singer ORDER BY Age LIMIT 1
|
| 5 |
+
SELECT Song_Name, Song_release_year FROM singer ORDER BY Age
|
| 6 |
+
SELECT DISTINCT country FROM singer WHERE age > 20
|
| 7 |
+
SELECT DISTINCT Country FROM singer WHERE Age > 20
|
| 8 |
+
SELECT Country, COUNT(*) FROM singer GROUP BY Country
|
| 9 |
+
SELECT count(DISTINCT country) FROM singer
|
| 10 |
+
SELECT Song_Name FROM singer WHERE Age > (SELECT avg(Age) FROM singer)
|
| 11 |
+
SELECT Song_Name FROM singer WHERE Age > (SELECT avg(Age) FROM singer)
|
| 12 |
+
SELECT LOCATION, name FROM stadium WHERE capacity BETWEEN 5000 AND 10000
|
| 13 |
+
SELECT LOCATION, Name FROM stadium WHERE Capacity BETWEEN 5000 AND 10000
|
| 14 |
+
SELECT count(*) FROM concert WHERE YEAR = 2014 OR YEAR = 2015
|
| 15 |
+
SELECT count(*) FROM concert WHERE YEAR = 2014 OR YEAR = 2015
|
| 16 |
+
SELECT T2.Name, T1.Capacity FROM stadium AS T1 JOIN concert AS T2 ON T1.Stadium_ID = T2.Stadium_ID WHERE T2.Year >= 2014 GROUP BY T1.Name ORDER BY count(*) DESC LIMIT 1
|
| 17 |
+
SELECT Name, Capacity FROM stadium WHERE YEAR > 2013 GROUP BY Capacity ORDER BY COUNT(*) DESC LIMIT 1
|
| 18 |
+
SELECT Name FROM stadium WHERE Stadium_ID NOT IN (SELECT Stadium_ID FROM concert)
|
| 19 |
+
SELECT Name FROM stadium WHERE Stadium_ID NOT IN (SELECT Stadium_ID FROM concert)
|
| 20 |
+
SELECT Country FROM singer WHERE Age < 30 UNION SELECT Country FROM singer WHERE Age > 40
|
| 21 |
+
SELECT name FROM stadium WHERE stadium_id NOT IN (SELECT stadium_id FROM concert WHERE YEAR = 2014)
|
| 22 |
+
SELECT name FROM stadium WHERE stadium_id NOT IN (SELECT stadium_id FROM concert WHERE YEAR = 2014)
|
| 23 |
+
SELECT T1.theme, count(*) FROM concert AS T1 JOIN singer_in_concert AS T2 ON T1.concert_id = T2.concert_id GROUP BY T1.theme
|
| 24 |
+
SELECT T1.Name, COUNT(*) FROM singer AS T1 JOIN singer_in_concert AS T2 ON T1.Singer_ID = T2.Singer_ID GROUP BY T1.Name
|
| 25 |
+
SELECT T1.name, count(*) FROM singer AS T1 JOIN singer_in_concert AS T2 ON T1.singer_id = T2.singer_id GROUP BY T1.name
|
| 26 |
+
SELECT T1.Name FROM singer AS T1 JOIN singer_in_concert AS T2 ON T1.Singer_ID = T2.Singer_ID JOIN concert AS T3 ON T2.concert_ID = T3.concert_ID WHERE T3.year = 2014
|
| 27 |
+
SELECT T1.Name FROM singer AS T1 JOIN singer_in_concert AS T2 ON T1.Singer_ID = T2.Singer_ID JOIN concert AS T3 ON T2.concert_ID = T3.concert_ID WHERE T3.Year = 2014
|
| 28 |
+
SELECT T2.Name, T1.Country FROM singer AS T1 JOIN singer_in_concert AS T2 ON T1.Singer_ID = T2.Singer_ID JOIN concert AS T3 ON T2.concert_ID = T3.concert_ID WHERE T3.Song_Name LIKE '%Hey%'
|
| 29 |
+
SELECT T1.Name, T1.Country FROM singer AS T1 JOIN singer_in_concert AS T2 ON T1.Singer_ID = T2.Singer_ID JOIN concert AS T3 ON T2.concert_ID = T3.concert_ID WHERE T3.song_Name LIKE '%Hey%'
|
| 30 |
+
SELECT T1.Name, T1.Location FROM stadium AS T1 JOIN concert AS T2 ON T1.Stadium_ID = T2.Stadium_ID WHERE T2.Year = 2014 INTERSECT SELECT T1.Name, T1.Location FROM stadium AS T1 JOIN concert AS T2 ON T1.Stadium_ID = T2.Stadium_ID WHERE T2.Year = 2015
|
| 31 |
+
SELECT T2.Name, T1.Location FROM stadium AS T1 JOIN concert AS T2 ON T1.Stadium_ID = T2.Stadium_ID WHERE T2.year = 2014 INTERSECT SELECT T2.Name, T1.Location FROM stadium AS T1 JOIN concert AS T2 ON T1.Stadium_ID = T2.Stadium_ID WHERE T2.year = 2015
|
| 32 |
+
SELECT count(*) FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id WHERE T2.capacity = (SELECT max(capacity) FROM stadium)
|
| 33 |
+
SELECT count(*) FROM concert AS T1 JOIN stadium AS T2 ON T1.Stadium_ID = T2.Stadium_ID WHERE T2.Capacity = (SELECT max(capacity) FROM stadium)
|
| 34 |
+
SELECT count(*) FROM pets WHERE weight > 10
|
| 35 |
+
SELECT count(*) FROM Pets WHERE weight > 10
|
| 36 |
+
SELECT min(weight) FROM Pets WHERE pet_age = (SELECT min(pet_age) FROM Pets)
|
| 37 |
+
SELECT min(weight) FROM Pets WHERE pet_type = 'dog'
|
| 38 |
+
SELECT count(DISTINCT T1.stuid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid WHERE T1.age > 20)
|
| 39 |
+
SELECT count(*) FROM pets AS T1 JOIN has_pet AS T2 ON T1.petid = has_pet.stuid WHERE T2.stuid > 20
|
| 40 |
+
SELECT count(DISTINCT T2.StuID) FROM Student AS T1 JOIN Has_Pet AS T2 ON T1.StuID = T2.StuID WHERE T1.sex = "female"
|
| 41 |
+
SELECT count(DISTINCT T1.StuID) FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid WHERE T1.sex = 'F'
|
| 42 |
+
SELECT Fname FROM student WHERE sex = 'M' INTERSECT SELECT Fname FROM pets WHERE pettype = 'cat' OR pettype = 'dog'
|
| 43 |
+
SELECT DISTINCT Fname FROM student WHERE pettype = 'cat' OR pettype = 'dog'
|
| 44 |
+
SELECT DISTINCT T1.fname FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T2.petid = T3.petid WHERE T3.pettype = "cat" INTERSECT SELECT DISTINCT T1.fname FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T2.petid = T3.petid WHERE T3.pettype = "dog"
|
| 45 |
+
SELECT DISTINCT T1.Fname FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T2.petid = T3.petid WHERE T3.pettype = "cat" INTERSECT SELECT DISTINCT T1.Fname FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T2.petid = T3.petid WHERE T3.pettype = "dog"
|
| 46 |
+
SELECT major, age FROM student WHERE stuID NOT IN (SELECT stuID FROM has_pet)
|
| 47 |
+
SELECT major, age FROM student WHERE stuid NOT IN (SELECT stuid FROM has_pet)
|
| 48 |
+
SELECT StuID FROM Student WHERE StuID NOT IN (SELECT StuID FROM Has_Pet)
|
| 49 |
+
SELECT StuID FROM Student EXCEPT SELECT StuID FROM Has_Pet
|
| 50 |
+
SELECT Fname, Age FROM STUDENT WHERE PetID NOT IN (SELECT StuID FROM Has_Pet)
|
| 51 |
+
SELECT DISTINCT Fname FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid WHERE pettype = 'dog' EXCEPT SELECT DISTINCT Fname FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid WHERE pettype = 'cat'
|
| 52 |
+
SELECT pet_type, weight FROM Pets ORDER BY pet_age LIMIT 1
|
| 53 |
+
SELECT pet_type, weight FROM Pets ORDER BY pet_age ASC LIMIT 1
|
| 54 |
+
SELECT pet_id, weight FROM Pets WHERE pet_age > 1
|
| 55 |
+
SELECT petID, weight FROM Pets WHERE pet_age > 1
|
| 56 |
+
SELECT LName FROM STUDENT WHERE Age = 3 AND pet_age = 3
|
| 57 |
+
SELECT LName FROM Student WHERE Age = 3 AND PetID IN (SELECT PetID FROM Pets WHERE PetType = 'Cat')
|
| 58 |
+
SELECT avg(age) FROM student WHERE stuid NOT IN (SELECT stuid FROM has_pet)
|
| 59 |
+
SELECT avg(age) FROM student WHERE stuID NOT IN (SELECT stuID FROM has_pet)
|
| 60 |
+
SELECT count(DISTINCT T1.Maker FROM car_makers AS T1 JOIN model_list AS T2 ON T1.id = T2.maker WHERE T1.Country = T2.Country)
|
| 61 |
+
SELECT T1.FullName, T1.Id, count(*) FROM car_makers AS T1 JOIN model_list AS T2 ON T1.Id = T2.Maker GROUP BY T1.Id
|
| 62 |
+
SELECT Model FROM cars_data WHERE Weight < (SELECT avg(Weight) FROM cars_data)
|
| 63 |
+
SELECT DISTINCT model FROM cars_data WHERE weight < (SELECT avg(weight) FROM cars_data)
|
| 64 |
+
SELECT DISTINCT T2.FullName FROM car_makers AS T1 JOIN car_names AS T2 ON T1.Id = T2.Maker WHERE T1.Country = "United States" AND T2.Year = 1970
|
| 65 |
+
SELECT DISTINCT T2.Maker FROM cars_data AS T1 JOIN car_makers AS T2 ON T1.MakeId = T2.Id WHERE T1.year = 1970
|
| 66 |
+
SELECT T2.make, T2.production_time FROM cars_data AS T1 JOIN car_makers AS T2 ON T1.maker = T2.id ORDER BY T1.year ASC LIMIT 1
|
| 67 |
+
SELECT T1.Maker, T1.year FROM car_makers AS T1 JOIN cars_data AS T2 ON T1.id = T2.maker_id ORDER BY T2.year LIMIT 1
|
| 68 |
+
SELECT DISTINCT DISTINCT Model FROM car_names WHERE YEAR > 1980
|
| 69 |
+
SELECT DISTINCT T1.Model FROM car_names AS T1 JOIN model_list AS T2 ON T1.Model = T2.Model WHERE T1.year > 1980
|
| 70 |
+
SELECT CountryName FROM car_makers GROUP BY Country ORDER BY COUNT(*) DESC LIMIT 1
|
| 71 |
+
SELECT T2.CountryName FROM car_makers AS T1 JOIN countries AS T2 ON T1.Country = T2.CountryId GROUP BY T1.Country ORDER BY count(*) DESC LIMIT 1
|
| 72 |
+
SELECT COUNT(*), T1.FullName FROM car_makers AS T1 JOIN model_list AS T2 ON T1.Id = T2.Maker GROUP BY T1.FullName
|
| 73 |
+
SELECT count(*), T1.id, T1.maker FROM model_list AS T1 JOIN car_makers AS T2 ON T1.maker = T2.id GROUP BY T1.maker
|
| 74 |
+
SELECT Accelerate FROM car_makers WHERE Maker = "AMC" AND Model = "Hornet Sportabout (SW)";
|
| 75 |
+
SELECT count(*) FROM car_makers WHERE country = "France"
|
| 76 |
+
SELECT count(*) FROM car_makers WHERE country = 'France'
|
| 77 |
+
SELECT count(*) FROM car_makers AS T1 JOIN model_list AS T2 ON T1.id = T2.maker WHERE T1.country = 'USA'
|
| 78 |
+
SELECT count(*) FROM car_names WHERE country = 'United States'
|
| 79 |
+
SELECT avg(mpg) FROM car_data WHERE cyl = 4
|
| 80 |
+
SELECT min(weight) FROM cars_data WHERE YEAR = 1974 AND cyl = 8
|
| 81 |
+
SELECT DISTINCT T2.CountryName FROM car_makers AS T1 JOIN countries AS T2 ON T1.Country = T2.CountryId WHERE T1.Maker = 'Toyota'
|
| 82 |
+
SELECT CountryName, CountryId FROM car_makers
|
| 83 |
+
SELECT count(*) FROM cars_data WHERE horsepower > 150
|
| 84 |
+
SELECT count(*) FROM cars_data WHERE horsepower > 150
|
| 85 |
+
SELECT DISTINCT T2.CountryName FROM car_makers AS T1 JOIN countries AS T2 ON T1.Country = T2.CountryId GROUP BY T1.CountryId HAVING count(*) >= 3
|
| 86 |
+
SELECT CountryName FROM countries WHERE Continent = 'Europe' GROUP BY CountryId HAVING count(*) >= 3
|
| 87 |
+
SELECT model FROM cars_data ORDER BY Horsepower DESC LIMIT 1
|
| 88 |
+
SELECT wmodel FROM cars_data ORDER BY edispl DESC LIMIT 1
|
| 89 |
+
SELECT avg(horsepower) FROM cars_data WHERE YEAR < 1980
|
| 90 |
+
SELECT avg(horsepower) FROM cars_data WHERE YEAR < 1980
|
| 91 |
+
SELECT avg(edispl) FROM car_names WHERE make = 'volvo'
|
| 92 |
+
SELECT avg(Edispl) FROM cars_data WHERE make = 'Volvo'
|
| 93 |
+
SELECT T1.Model FROM car_names AS T1 JOIN cars_data AS T2 ON T1.Model = T2.Model WHERE T2.MPG > 200 GROUP BY T1.Model ORDER BY count(*) DESC LIMIT 1
|
| 94 |
+
SELECT count(*) FROM cars_data WHERE YEAR = 1980
|
| 95 |
+
SELECT count(*) FROM car_makers AS T1 JOIN cars_data AS T2 ON T1.id = T2.maker WHERE T2.year = 1980
|
| 96 |
+
SELECT count(DISTINCT T1.Model FROM car_names AS T1 JOIN model_list AS T2 ON T1.Model = T2.Model WHERE T2.Maker = 'American Motor Company')
|
| 97 |
+
SELECT count(*) FROM car_makers AS T1 JOIN model_list AS T2 ON T1.id = T2.maker WHERE T1.country = 'USA' AND T2.make = 'American Motor Company'
|
| 98 |
+
SELECT T2.FullName, T1.Id FROM car_makers AS T1 JOIN model_list AS T2 ON T1.Id = T2.Maker GROUP BY T1.Id HAVING count(*) > 3
|
| 99 |
+
SELECT T1.makeid, T1.id FROM car_makers AS T1 JOIN model_list AS T2 ON T1.id = T2.maker WHERE T2.model > 3
|
| 100 |
+
SELECT DISTINCT T1.Model FROM model_list AS T1 JOIN car_makers AS T2 ON T1.Maker = T2.Id WHERE T2.Maker = "General Motors" OR T1.Weight > 3500
|
| 101 |
+
SELECT DISTINCT T1.Model FROM model_list AS T1 JOIN car_makers AS T2 ON T1.Maker = T2.Id WHERE T2.FullName = "General Motors" OR T1.Weight > 3500
|
| 102 |
+
SELECT YEAR FROM cars_data WHERE Weight BETWEEN 3000 AND 4000
|
| 103 |
+
SELECT DISTINCT YEAR FROM cars_data WHERE WEIGHT BETWEEN 3000 AND 4000
|
| 104 |
+
SELECT min(cylinders) FROM cars_data WHERE make = 'volvo'
|
| 105 |
+
SELECT T1.cylinders FROM cars_data AS T1 JOIN model_list AS T2 ON T1.Id = T2.ModelId WHERE T2.Maker = 'Volvo' ORDER BY T1.Accelerate LIMIT 1
|
| 106 |
+
SELECT count(*) FROM car_makers GROUP BY countryId HAVING count(*) > 2
|
| 107 |
+
SELECT count(*) FROM car_makers GROUP BY CountryId HAVING count(*) > 2
|
| 108 |
+
SELECT T2.Model FROM cars_data AS T1 JOIN model_list AS T2 ON T1.Model = T2.Model WHERE T1.Cylinders = 4 GROUP BY T2.Model ORDER BY T1.Horsepower DESC LIMIT 1
|
| 109 |
+
SELECT max(T1.MPG) FROM cars_data AS T1 JOIN car_makers AS T2 ON T1.Maker = T2.Country WHERE T1.Cylinders = "8" OR T1.year < 1980
|
| 110 |
+
SELECT DISTINCT Model FROM model_list WHERE Weight < 3500 AND Maker!= 'Ford Motor Company'
|
| 111 |
+
SELECT DISTINCT Model FROM car_makers AS T1 JOIN cars_data AS T2 ON T1.id = T2.makeid WHERE T1.Maker!= 'Ford' AND T2.weight < 3500
|
| 112 |
+
SELECT CountryId, CountryName FROM car_makers GROUP BY CountryId HAVING COUNT(*) > 3 UNION SELECT CountryId, CountryName FROM countries WHERE CountryName = 'Fiat'
|
| 113 |
+
SELECT CountryId, CountryName FROM car_makers GROUP BY CountryId HAVING count(*) > 3 UNION SELECT CountryId, CountryName FROM countries WHERE CountryName IN (SELECT CountryName FROM car_makers GROUP BY CountryName HAVING count(*) > 3)
|
| 114 |
+
SELECT Country FROM airlines WHERE Abbreviation = "JetBlue Airways"
|
| 115 |
+
SELECT Country FROM airlines WHERE Abbreviation = "Jetblue Airways"
|
| 116 |
+
SELECT abbreviation FROM airlines WHERE Airline = "JetBlue Airways"
|
| 117 |
+
SELECT abbreviation FROM airlines WHERE airline = "Jetblue Airways"
|
| 118 |
+
SELECT DISTINCT T1.Airline, T1.Abbreviation FROM airlines AS T1 JOIN airports AS T2 ON T1.CountryAbbrev = T2.CountryAbbrev WHERE T2.Country = "USA"
|
| 119 |
+
SELECT DISTINCT Abbreviation, Airline FROM airlines WHERE Country = 'USA'
|
| 120 |
+
SELECT AirportCode, AirportName FROM airports WHERE Firstname = 'Anthony'
|
| 121 |
+
SELECT AirportCode, AirportName FROM airports WHERE Abbreviation = "Anthony"
|
| 122 |
+
SELECT Airline FROM airlines WHERE Abbreviation = "UAL"
|
| 123 |
+
SELECT Airline FROM airlines WHERE Abbreviation = "UAL"
|
| 124 |
+
SELECT count(DISTINCT T1.Airline FROM airlines AS T1 JOIN flights AS T2 ON T1.Airline = T2.Airline WHERE T1.Country = "USA")
|
| 125 |
+
SELECT count(*) FROM airlines WHERE country = 'USA'
|
| 126 |
+
SELECT DISTINCT Abbrev FROM airlines WHERE CountryAbbrev = "AKO"
|
| 127 |
+
SELECT DISTINCT Abbrev FROM airlines
|
| 128 |
+
SELECT AirportName FROM airports WHERE City = "Aberdeen"
|
| 129 |
+
SELECT AirportName FROM airports WHERE City = "Aberdeen"
|
| 130 |
+
SELECT count(DISTINCT SourceAirport) FROM flights WHERE SourceAirport = 'APG'
|
| 131 |
+
SELECT count(DISTINCT SourceAirport) FROM flights WHERE SourceAirport = "APG"
|
| 132 |
+
SELECT count(*) FROM flights WHERE SourceAirport = "ATO"
|
| 133 |
+
SELECT count(*) FROM flights AS T1 JOIN airports AS T2 ON T1.destairport = T2.airportcode WHERE T2.country = 'USA' AND T1.sourceairport = 'ATO'
|
| 134 |
+
SELECT count(DISTINCT SourceAirport) FROM flights WHERE SourceAirport = "Aberdeen"
|
| 135 |
+
SELECT count(DISTINCT SourceAirport) FROM flights WHERE SourceAirport = 'Aberdeen'
|
| 136 |
+
SELECT count(*) FROM flights WHERE destairport = "ABD"
|
| 137 |
+
SELECT count(DISTINCT T1.Airline FROM flights AS T1 JOIN airports AS T2 ON T1.DestAirport = T2.AirportCode WHERE T2.CountryAbbrev = "Scotland" AND T1.SourceAirport = "Aberdeen")
|
| 138 |
+
SELECT count(*) FROM flights WHERE SourceAirport = "Aberdeen" INTERSECT SELECT count(*) FROM flights WHERE DestAirport = "Ashley"
|
| 139 |
+
SELECT count(*) FROM flights AS T1 JOIN airports AS T2 ON T1.destairport = T2.airportcode WHERE T2.city = 'Ashley' AND T1.sourceairport = 'Aberdeen'
|
| 140 |
+
SELECT count(*) FROM flights AS T1 JOIN airlines AS T2 ON T1.Airline = T2.Airline WHERE T2.Abbreviation = "JetBlue Airways"
|
| 141 |
+
SELECT count(DISTINCT T1.Airline FROM flights AS T1 JOIN airlines AS T2 ON T1.Airline = T2.Airline WHERE T2.Abbreviation = "Jetblue Airways"
|
| 142 |
+
SELECT count(DISTINCT T2.FlightNo FROM airlines AS T1 JOIN flights AS T2 ON T1.Airline = T2.Airline WHERE T1.abbrev = "United Airlines" AND T2.destairport = "ASY")
|
| 143 |
+
{"sql": "SELECT count(*) FROM flights WHERE airline = "United" AND destairport = "ASY""}
|
| 144 |
+
SELECT count(*) FROM flights WHERE sourceairport = "AHD" AND airline = "United Airlines"
|
| 145 |
+
SELECT count(DISTINCT T1.Airline FROM airlines AS T1 JOIN flights AS T2 ON T1.Airline = T2.Airline WHERE T1.Abbreviation = 'United')
|
| 146 |
+
SELECT count(DISTINCT T1.Airline FROM flights AS T1 JOIN airports AS T2 ON T1.DestAirport = T2.AirportCode WHERE T2.CountryAbbrev = "United") WHERE T2.City = "Aberdeen"
|
| 147 |
+
SELECT count(*) FROM flights AS T1 JOIN airports AS T2 ON T1.DestAirport = T2.AirportCode WHERE T2.CountryAbbrev = "United" AND T1.Airline = "United Airlines" AND T1.ArrivalDate = "Aberdeen"
|
| 148 |
+
SELECT DISTINCT T2.Airline FROM airports AS T1 JOIN flights AS T2 ON T1.AirportCode = T2.SourceAirport WHERE T1.CountryAbbrev = "AHD"
|
| 149 |
+
SELECT DISTINCT T1.Airline FROM airlines AS T1 JOIN flights AS T2 ON T1.Airline = T2.Airline WHERE T2.destairport = 'AHAD'
|
| 150 |
+
SELECT DISTINCT T2.Airline FROM flights AS T1 JOIN airports AS T2 ON T1.DestAirport = T2.AirportCode WHERE T2.CountryAbbrev = 'USA' AND T1.ArrivalAirport = 'AHD'
|
| 151 |
+
SELECT DISTINCT T1.Airline FROM airlines AS T1 JOIN flights AS T2 ON T1.Airline = T2.Airline WHERE T2.DestAirport = 'AHD'
|
| 152 |
+
SELECT DISTINCT T2.Airline FROM flights AS T1 JOIN airports AS T2 ON T1.DestAirport = T2.AirportCode WHERE T1.SourceAirport = 'APG' INTERSECT SELECT DISTINCT T2.Airline FROM flights AS T1 JOIN airports AS T2 ON T1.SourceAirport = T2.AirportCode WHERE T1.DestAirport = 'CVO'
|
| 153 |
+
SELECT DISTINCT T1.Airline FROM airlines AS T1 JOIN flights AS T2 ON T1.Airline = T2.Airline WHERE T2.SourceAirport = "APG" INTERSECT SELECT DISTINCT T1.Airline FROM airlines AS T1 JOIN flights AS T2 ON T1.Airline = T2.Airline WHERE T2.DestAirport = "CVO"
|
| 154 |
+
SELECT DISTINCT T1.Airline FROM airlines AS T1 JOIN flights AS T2 ON T1.Airline = T2.Airline WHERE T1.Abbreviation = 'CVO' EXCEPT SELECT DISTINCT T1.Airline FROM airlines AS T1 JOIN flights AS T2 ON T1.Airline = T2.Airline WHERE T1.Airline = 'APG'
|
| 155 |
+
SELECT DISTINCT T1.Airline FROM airlines AS T1 JOIN flights AS T2 ON T1.Airline = T2.Airline WHERE T1.AirportCode = "CVO" EXCEPT SELECT DISTINCT T1.Airline FROM airlines AS T1 JOIN flights AS T2 ON T1.Airline = T2.Airline WHERE T1.CountryAbbrev = "APG"
|
| 156 |
+
SELECT FlightNo FROM airlines AS T1 JOIN flights AS T2 ON T1.Airline = T2.Airline WHERE T1.abbreviation = "United Airlines"
|
| 157 |
+
SELECT FlightNo FROM flights WHERE Airline = "United Airlines"
|
| 158 |
+
SELECT DISTINCT FlightNo FROM flights WHERE SourceAirport = "APG"
|
| 159 |
+
SELECT FlightNo FROM flights WHERE SourceAirport = "APG"
|
| 160 |
+
SELECT DISTINCT T1.FlightNo FROM flights AS T1 JOIN airports AS T2 ON T1.DestAirport = T2.AirportCode WHERE T2.Country = "USA" AND T1.sourceairport = "APG"
|
| 161 |
+
SELECT FlightNo FROM flights WHERE DestAirport = "APG"
|
| 162 |
+
SELECT FlightNo FROM flights WHERE SourceAirport = "ABD"
|
| 163 |
+
SELECT DISTINCT T1.FlightNo FROM flights AS T1 JOIN airports AS T2 ON T1.DestAirport = T2.AirportCode WHERE T2.CountryAbbrev = "UK" AND T1.SourceAirport = "ABERDEEN"
|
| 164 |
+
SELECT FlightNo FROM flights WHERE DestAirport = "Aberdeen"
|
| 165 |
+
SELECT FlightNo FROM flights WHERE DestAirport = 'ABERDEEN'
|
| 166 |
+
SELECT count(DISTINCT T1.Airline FROM flights AS T1 JOIN airports AS T2 ON T1.DestAirport = T2.AirportCode WHERE T2.CountryAbbrev = "AB" OR T2.CountryAbbrev = "ABE")
|
| 167 |
+
SELECT count(*) FROM flights WHERE DestAirport = "Aberdeen" OR DestAirport = "Abilene"
|
| 168 |
+
SELECT AirportName FROM airports WHERE AirportCode NOT IN (SELECT SourceAirport FROM flights)
|
| 169 |
+
SELECT AirportCode FROM airports WHERE AirportCode NOT IN (SELECT SourceAirport FROM flights)
|
| 170 |
+
SELECT Name FROM employee ORDER BY Age
|
| 171 |
+
SELECT name FROM employee ORDER BY age
|
| 172 |
+
SELECT city FROM employee WHERE age < 30 GROUP BY city HAVING count(*) > 1
|
| 173 |
+
SELECT city FROM employee WHERE age < 30 GROUP BY city HAVING count(*) > 1
|
| 174 |
+
SELECT count(DISTINCT LOCATION FROM shop)
|
| 175 |
+
SELECT count(DISTINCT LOCATION FROM shop), LOCATION FROM shop
|
| 176 |
+
SELECT Manager_name, district FROM shop GROUP BY district ORDER BY count(*) DESC LIMIT 1
|
| 177 |
+
SELECT manager_name, district FROM shop GROUP BY district ORDER BY count(*) DESC LIMIT 1
|
| 178 |
+
SELECT name, LOCATION, district FROM shop ORDER BY number_products DESC
|
| 179 |
+
SELECT * FROM shop ORDER BY Number_products DESC
|
| 180 |
+
SELECT name FROM shop WHERE number_products > (SELECT avg(number_products) FROM shop)
|
| 181 |
+
SELECT name FROM shop WHERE Number_products > (SELECT avg(Number_products) FROM shop)
|
| 182 |
+
SELECT name FROM evaluation ORDER BY bonus DESC LIMIT 1
|
| 183 |
+
SELECT name FROM employee ORDER BY bonus DESC LIMIT 1
|
| 184 |
+
SELECT T2.Name FROM hiring AS T1 JOIN shop AS T2 ON T1.Shop_ID = T2.Shop_ID GROUP BY T1.Shop_ID ORDER BY count(*) DESC LIMIT 1
|
| 185 |
+
SELECT name FROM shop ORDER BY number_products DESC LIMIT 1
|
| 186 |
+
SELECT name FROM shop WHERE shop_id NOT IN (SELECT shop_id FROM hiring)
|
| 187 |
+
SELECT name FROM shop WHERE shop_id NOT IN (SELECT shop_id FROM hiring)
|
| 188 |
+
SELECT district FROM shop GROUP BY district HAVING sum(number_products) < 3000 INTERSECT SELECT district FROM shop GROUP BY district HAVING sum(number_products) > 10000
|
| 189 |
+
SELECT DISTINCT district FROM shop WHERE Number_products < 3000 INTERSECT SELECT DISTINCT district FROM shop WHERE Number_products > 10000
|
| 190 |
+
SELECT Name FROM teacher ORDER BY Age ASC
|
| 191 |
+
SELECT Name FROM teacher ORDER BY Age
|
| 192 |
+
SELECT Name FROM teacher WHERE Hometown!= 'Little Lever Urban District'
|
| 193 |
+
SELECT Name FROM teacher WHERE Hometown!= 'Little Lever Urban District'
|
| 194 |
+
SELECT Name FROM teacher WHERE Age = 32 OR Age = 33
|
| 195 |
+
SELECT Name FROM teacher WHERE Age = 32 OR Age = 33
|
| 196 |
+
SELECT Hometown FROM teacher ORDER BY Age LIMIT 1
|
| 197 |
+
SELECT min(Age) FROM teacher
|
| 198 |
+
SELECT DISTINCT T1.Hometown, count(*) FROM teacher AS T1 JOIN course_arrange AS T2 ON T1.Teacher_ID = T2.Teacher_ID
|
| 199 |
+
SELECT T1.Hometown, count(*) FROM teacher AS T1 JOIN course_arrange AS T2 ON T1.Teacher_ID = T2.Teacher_ID GROUP BY T1.Hometown
|
| 200 |
+
SELECT Hometown FROM teacher GROUP BY Hometown ORDER BY COUNT(*) DESC LIMIT 1
|
| 201 |
+
SELECT DISTINCT T1.Hometown FROM teacher AS T1 JOIN course_arrange AS T2 ON T1.Teacher_ID = T2.Teacher_ID GROUP BY T1.Hometown HAVING COUNT(*) >= 2
|
| 202 |
+
SELECT Name FROM teacher WHERE Name LIKE '%math%'
|
| 203 |
+
SELECT DISTINCT name FROM teacher WHERE department = 'Math'
|
| 204 |
+
SELECT Name FROM teacher EXCEPT SELECT Name FROM course_arrange
|
| 205 |
+
SELECT Name FROM teacher WHERE Teacher_ID NOT IN (SELECT Teacher_ID FROM course_arrange)
|
| 206 |
+
SELECT count(*) FROM visitor WHERE age < 30
|
| 207 |
+
SELECT Name FROM visitor WHERE Level_of_membership > 4 ORDER BY Level_of_membership
|
| 208 |
+
SELECT avg(Age) FROM visitor WHERE Age <= 4
|
| 209 |
+
SELECT Museum_ID, Name FROM museum GROUP BY Museum_ID ORDER BY Num_of_Staff DESC LIMIT 1
|
| 210 |
+
SELECT avg(Num_of_Staff) FROM museum WHERE Open_Year < 2009
|
| 211 |
+
SELECT open_year, num_of_staff FROM museum WHERE name = 'Plaza Museum'
|
| 212 |
+
SELECT name FROM museum WHERE open_year > 2010 AND num_of_staff > (SELECT min(num_of_staff) FROM museum WHERE open_year > 2010)
|
| 213 |
+
SELECT ID, name, age FROM visitor AS T1 JOIN visit AS T2 ON T1.id = T2.visitor_id GROUP BY T2.museum_id HAVING count(*) > 1
|
| 214 |
+
SELECT T1.id, T1.name, T1.level_of_membership FROM visitor AS T1 JOIN visit AS T2 ON T1.id = T2.visitor_id GROUP BY T2.museum_id ORDER BY T2.total_spent DESC LIMIT 1
|
| 215 |
+
SELECT T1.museum_id, T1.name FROM museum AS T1 JOIN visit AS T2 ON T1.museum_id = T2.museum_id GROUP BY T1.museum_id ORDER BY count(*) DESC LIMIT 1
|
| 216 |
+
SELECT name FROM museum WHERE museum_id NOT IN (SELECT museum_id FROM visit)
|
| 217 |
+
SELECT T1.Name, T1.Age FROM visitor AS T1 JOIN visit AS T2 ON T1.ID = T2.visitor_ID GROUP BY T1.ID ORDER BY sum(T2.Num_of_Ticket) DESC LIMIT 1
|
| 218 |
+
SELECT sum(T1.Total_spent) FROM visit AS T1 JOIN museum AS T2 ON T1.Museum_ID = T2.Museum_ID WHERE T2.Name = 'LV 1'
|
| 219 |
+
SELECT first_name, birth_date FROM players WHERE country_code = "USA"
|
| 220 |
+
SELECT first_name, birth_date FROM players WHERE country_code = 'USA'
|
| 221 |
+
SELECT tourney_name FROM matches GROUP BY tourney_name HAVING count(*) > 10
|
| 222 |
+
SELECT tourney_name FROM matches GROUP BY tourney_name HAVING count(*) > 10
|
| 223 |
+
SELECT winner_name FROM matches AS T1 JOIN players AS T2 ON T1.winner_id = T2.player_id WHERE T1.year = 2013 INTERSECT SELECT winner_name FROM matches AS T1 JOIN players AS T2 ON T1.winner_id = T2.player_id WHERE T1.year = 2016
|
| 224 |
+
SELECT winner_name FROM matches AS T1 JOIN players AS T2 ON T1.winner_id = T2.player_id WHERE T1.year = 2013 INTERSECT SELECT winner_name FROM matches AS T1 JOIN players AS T2 ON T1.winner_id = T2.player_id WHERE T1.year = 2016
|
| 225 |
+
SELECT count(DISTINCT T2.player_id) FROM matches AS T1 JOIN players AS T2 ON T1.loser_id = T2.player_id WHERE T1.year = "2013" OR T1.year = "2016"
|
| 226 |
+
SELECT count(*) FROM matches WHERE YEAR = 2013 OR YEAR = 2016
|
| 227 |
+
SELECT T1.country_code, T1.first_name FROM players AS T1 JOIN matches AS T2 ON T1.player_id = T2.winner_id WHERE T2.tourney_name = "WTA Championships" INTERSECT SELECT T1.country_code, T1.first_name FROM players AS T1 JOIN matches AS T2 ON T1.player_id = T2.winner_id WHERE T2.tourney_name = "Australian Open"
|
| 228 |
+
SELECT first_name, country_code FROM players WHERE winner_id IN (SELECT winner_id FROM matches WHERE tourney_name = "WTA Championships" INTERSECT SELECT winner_id FROM matches WHERE tourney_name = "Australian Open")
|
| 229 |
+
SELECT first_name, country_code FROM players ORDER BY birth_date DESC LIMIT 1
|
| 230 |
+
SELECT first_name, country_code FROM players ORDER BY birth_date LIMIT 1
|
| 231 |
+
SELECT first_name, last_name FROM players ORDER BY birth_date
|
| 232 |
+
SELECT first_name, last_name FROM players ORDER BY birth_date
|
| 233 |
+
SELECT first_name, last_name FROM players WHERE hand = 'left' ORDER BY birth_date
|
| 234 |
+
SELECT first_name, last_name FROM players WHERE hand = 'left' ORDER BY birth_date
|
| 235 |
+
SELECT T1.first_name, T1.last_name FROM players AS T1 JOIN matches AS T2 ON T1.player_id = T2.loser_id GROUP BY T2.loser_id ORDER BY count(*) DESC LIMIT 1
|
| 236 |
+
SELECT T1.first_name, T1.last_name FROM players AS T1 JOIN matches AS T2 ON T1.player_id = T2.winner_id GROUP BY T1.player_id ORDER BY count(*) DESC LIMIT 1
|
| 237 |
+
SELECT T1.winner_name FROM players AS T1 JOIN matches AS T2 ON T1.player_id = T2.loser_id WHERE T2.tourney_name = 'Australian Open' ORDER BY T1.winner_rank_points DESC LIMIT 1
|
| 238 |
+
SELECT winner_name FROM matches AS T1 JOIN rankings AS T2 ON T1.winner_id = T2.winner_id WHERE T1.tourney_name = 'Australian Open' GROUP BY T2.winner_rank ORDER BY T2.winner_rank_points DESC LIMIT 1
|
| 239 |
+
SELECT loser_name, winner_name FROM matches WHERE loser_ht = (SELECT max(loser_ht) FROM matches)
|
| 240 |
+
SELECT loser_name, loser_ioc FROM matches ORDER BY loser_ht DESC LIMIT 1
|
| 241 |
+
SELECT count(*), country_code FROM players GROUP BY country_code
|
| 242 |
+
SELECT count(*), country_code FROM players GROUP BY country_code
|
| 243 |
+
SELECT country_code FROM players GROUP BY country_code ORDER BY count(*) DESC LIMIT 1
|
| 244 |
+
SELECT country_code FROM players GROUP BY country_code ORDER BY count(*) DESC LIMIT 1
|
| 245 |
+
SELECT country_code FROM players GROUP BY country_code HAVING count(*) > 50
|
| 246 |
+
SELECT country_code FROM players GROUP BY country_code HAVING count(*) > 50
|
| 247 |
+
SELECT winner_name, winner_rank FROM matches WHERE winner_age = (SELECT min(winner_age) FROM matches)
|
| 248 |
+
SELECT winner_name, winner_rank FROM matches AS T1 JOIN rankings AS T2 ON T1.winner_id = T2.winner_id WHERE T1.loser_age < T2.winner_age GROUP BY T1.winner_id ORDER BY T1.loser_age LIMIT 3
|
| 249 |
+
SELECT count(DISTINCT winner_hand) FROM matches AS T1 JOIN players AS T2 ON T1.winner_id = T2.player_id WHERE T1.loser_hand = 'right' AND T2.hand = 'left
|
| 250 |
+
SELECT count(DISTINCT winner_hand) FROM matches WHERE winner_hand = 'left' AND tourney_name = "WTA Championships"
|
| 251 |
+
SELECT count(*) FROM ship WHERE disposition_of_ship = 'Captured'
|
| 252 |
+
SELECT id, name FROM battle AS T1 JOIN death AS T2 ON T1.id = T2.caused_by_ship_id GROUP BY T1.id HAVING count(*) > 10
|
| 253 |
+
SELECT caused_by_ship_id, name FROM death GROUP BY caused_by_ship_id ORDER BY sum(injured) DESC LIMIT 1
|
| 254 |
+
SELECT name, date FROM battle AS T1 JOIN ship AS T2 ON T1.id = T2.lost_in_battle WHERE T2.name = "Lettice" AND T1.name = "HMS Atalanta" AND T1.result = "Lost"
|
| 255 |
+
SELECT name, bulgarian_commander, result FROM battle WHERE tonnage = 'English Channel' AND lost_in_battle = '0'
|
| 256 |
+
SELECT course_description FROM COURSES
|
| 257 |
+
SELECT course_description FROM COURSES
|
| 258 |
+
SELECT zip_postcode FROM addresses WHERE city = "Port" AND line_3 = "Chelsea"
|
| 259 |
+
SELECT zip_postcode FROM addresses WHERE city = "Chelsea"
|
| 260 |
+
SELECT last_name FROM addresses WHERE state_province_county = "North Carolina" EXCEPT SELECT T1.last_name FROM addresses AS T1 JOIN student_enrolment AS T2 ON T1.address_id = T2.current_address_id
|
| 261 |
+
SELECT last_name FROM addresses WHERE state_province_county = 'North Carolina' EXCEPT SELECT T1.last_name FROM addresses AS T1 JOIN student_enrolment AS T2 ON T1.address_id = T2.current_address_id
|
| 262 |
+
SELECT cell_mobile_number FROM students WHERE first_name = "Timmothy" AND last_name = "Ward";
|
| 263 |
+
SELECT cell_mobile_number FROM students WHERE first_name = "Timmothy" AND last_name = "Ward";
|
| 264 |
+
SELECT first_name, middle_name, last_name FROM Students ORDER BY date_first_registered
|
| 265 |
+
SELECT first_name, middle_name, last_name FROM Students WHERE degree_program_id IN (SELECT degree_program_id FROM Degree_Programs WHERE degree_summary_name = "Graduate") ORDER BY date_first_registered ASC LIMIT 1
|
| 266 |
+
SELECT first_name, last_name FROM students WHERE student_id IN (SELECT student_id FROM student_enrolment) ORDER BY date_left ASC LIMIT 1
|
| 267 |
+
SELECT address_id, count(*) FROM addresses GROUP BY address_id ORDER BY count(*) DESC LIMIT 1
|
| 268 |
+
SELECT T1.id, T1.line_1, T1.line_2 FROM addresses AS T1 JOIN student_enrolment_courses AS T2 ON T1.address_id = T2.current_address_id JOIN student_ enrolment AS T3 ON T2.student_enrolment_id = T3.student_id GROUP BY T1.address_id ORDER BY count(*) DESC LIMIT 1
|
| 269 |
+
SELECT semester_id FROM student_enrolment AS T1 JOIN student_ enrolment_courses AS T2 ON T1.student_id = T2.student_id JOIN semesters AS T3 ON T1.semester_id = T3.semester_id WHERE T2.degree_program_id = 1 INTERSECT SELECT semester_id FROM student_enrolment AS T1 JOIN student_ enrolment_courses AS T2 ON T1.student_id = T2.student_id JOIN semesters AS T3 ON T1.semester_id = T3.semester_id WHERE T2.degree_program_id = 2
|
| 270 |
+
SELECT T1.semester_id FROM semesters AS T1 JOIN student_enrolment AS T2 ON T1.semester_id = T2.semester_id JOIN degree_programs AS T3 ON T2.degree_program_id = T3.degree_program_id JOIN students AS T4 ON T4.student_id = T2.student_id WHERE T3.degree_summary_name = "Masters" INTERSECT SELECT T1.semester_id FROM semesters AS T1 JOIN student_enrolment AS T2 ON T1.semester_id = T2.semester_id JOIN degree_programs AS T3 ON T2.degree_program_id = T3.degree_program_id JOIN students AS T4 ON T4.student_id = T2.student_id INTERSECT SELECT T1.semester_id FROM semesters AS T1 JOIN student_enrolment AS T2 ON T1.semester_id = T2.semester_id JOIN degree_programs AS T3 ON T2.degree_program_id = T3.degree_program_id WHERE T3.degree_summary_name = "Bachelors"
|
| 271 |
+
SELECT first_name FROM students WHERE permanent_address_id IN (SELECT permanent_address_id FROM addresses WHERE country = 'Haiti' OR cell_mobile_number = "09700166582")
|
| 272 |
+
SELECT first_name FROM addresses WHERE country = 'Haiti' OR cell_mobile_number = 09700166582
|
| 273 |
+
SELECT Title FROM Cartoon ORDER BY Title
|
| 274 |
+
SELECT Title FROM Cartoon ORDER BY Title
|
| 275 |
+
SELECT DISTINCT directed_by FROM cartoon
|
| 276 |
+
SELECT DISTINCT directed_by FROM cartoon WHERE written_by = "Ben Jones"
|
| 277 |
+
SELECT count(DISTINCT written_by) FROM cartoon WHERE directed_by = 'Joseph Kuhr'
|
| 278 |
+
SELECT count(DISTINCT Written_by) FROM Cartoon WHERE Directed_by = 'Joseph Kuh'
|
| 279 |
+
SELECT Title, Directed_by FROM Cartoon ORDER BY Original_air_date
|
| 280 |
+
SELECT Title, Directed_by FROM Cartoon ORDER BY Original_air_date
|
| 281 |
+
SELECT Title FROM Cartoon WHERE Directed_by = "Ben Jones" OR Directed_by = "Brandon Vietti"
|
| 282 |
+
SELECT Title FROM Cartoon WHERE Directed_by = "Ben Jones" OR Directed_by = "Brandon Vietti"
|
| 283 |
+
SELECT Country, count(*) FROM TV_Channel GROUP BY Country ORDER BY count(*) DESC LIMIT 1
|
| 284 |
+
SELECT country FROM tv_channel GROUP BY country ORDER BY count(*) DESC LIMIT 1
|
| 285 |
+
SELECT content FROM TV_channel WHERE channel = "Sky Radio"
|
| 286 |
+
SELECT Content FROM TV_channel WHERE Channel = "Sky Radio"
|
| 287 |
+
SELECT package_option FROM TV_channel WHERE Channel = "Sky Radio"
|
| 288 |
+
SELECT count(*) FROM TV_channel WHERE Language = "English"
|
| 289 |
+
SELECT count(*) FROM TV_Channel WHERE Language = "English"
|
| 290 |
+
SELECT T2.series_name FROM cartoon AS T1 JOIN TV_channel AS T2 ON T1.id = T2.id WHERE T1.Title = "The Rise of the Blue Beetle!"
|
| 291 |
+
SELECT T2.series_name FROM cartoon AS T1 JOIN TV_channel AS T2 ON T1.id = T2.id WHERE T1.Title = "The Rise of the Blue Beetle"
|
| 292 |
+
SELECT title FROM cartoon AS T1 JOIN TV_channel AS T2 ON T1.id = T2.id WHERE T2.name = "Sky Radio"
|
| 293 |
+
SELECT Title FROM CARTOON WHERE Channel = "Sky Radio"
|
| 294 |
+
SELECT Air_Date FROM Cartoon WHERE Title = "A Love of a Lifetime"
|
| 295 |
+
SELECT Air_Date FROM TV_series WHERE Title LIKE '% A Love of a Lifetime%'
|
| 296 |
+
SELECT Weekly_Rank FROM TV_series WHERE Title = "A Love of a Lifetime"
|
| 297 |
+
SELECT Weekly_Rank FROM TV_series WHERE Title = "A Love of a Lifetime"
|
| 298 |
+
SELECT T2.series_name FROM TV_channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.channel WHERE T1.title = "A Love of a Lifetime"
|
| 299 |
+
SELECT series_name FROM TV_series WHERE title LIKE "%"A Love of a Lifetime%";
|
| 300 |
+
SELECT Episode FROM TV_series WHERE Channel = "Sky Radio"
|
| 301 |
+
SELECT episode FROM TV_series WHERE series_name = "Sky Radio"
|
| 302 |
+
SELECT count(DISTINCT directed_by) FROM cartoon
|
| 303 |
+
SELECT directed_by, count(*) FROM cartoon GROUP BY directed_by
|
| 304 |
+
SELECT production_code, channel FROM cartoon ORDER BY air_date DESC LIMIT 1
|
| 305 |
+
SELECT Production_code, Channel FROM Cartoon ORDER BY Original_air_date DESC LIMIT 1
|
| 306 |
+
SELECT T2.package_option, T1.Series_name FROM TV_channel AS T1 JOIN TV_series AS T2 ON T1.id = T2.channel WHERE T1.hight_definition_TV = 'yes'
|
| 307 |
+
SELECT Package_Option, series_name FROM TV_channel WHERE Hight_definition_TV = 'HDTV'
|
| 308 |
+
SELECT Country FROM TV_channel WHERE Channel = "Todd Casey"
|
| 309 |
+
SELECT Country FROM Cartoon WHERE Written_by = "Todd Casey"
|
| 310 |
+
SELECT Country FROM TV_CHANNEL WHERE Channel!= "Cartoon"
|
| 311 |
+
SELECT Country FROM Cartoon WHERE Written_by!= "Todd Casey"
|
| 312 |
+
SELECT T1.Series_name, T1.Country FROM TVCHANNEL AS T1 JOIN CARTOON AS T2 ON T1.id = T2.channel WHERE T1.directed_by = "Ben Jones" INTERSECT SELECT T1.Series_name, T1.Country FROM TVCHANNEL AS T1 JOIN CARTOON AS T2 ON T1.id = T2.channel WHERE T1.directed_by = "Michael Chang"
|
| 313 |
+
SELECT T1.series_name, T1.country FROM cartoon AS T1 JOIN TV_channel AS T2 ON T1.id = T2.channel WHERE T1.directed_by = "Ben Jones" INTERSECT SELECT T1.series_name, T1.country FROM cartoon AS T1 JOIN TV_channel AS T2 ON T1.id = T2.channel WHERE T1.directed_by = "Michael Chang"
|
| 314 |
+
SELECT T1.pixel_aspect_ratio PAR, T2.country FROM TV_channel AS T1 JOIN TV_channel AS T2 ON T1.id = T2.id WHERE T1.language!= "english"
|
| 315 |
+
SELECT Pixel_aspect_ratio_PAR, Country FROM TV_channel WHERE LANGUAGE!= "english"
|
| 316 |
+
SELECT id FROM TV_channel GROUP BY Country HAVING count(*) > 2
|
| 317 |
+
SELECT id FROM TV_channel WHERE Channel NOT IN (SELECT Channel FROM Cartoon WHERE Directed_by = "Ben Jones")
|
| 318 |
+
SELECT id FROM cartoon WHERE directed_by!= "Ben Jones"
|
| 319 |
+
SELECT package_option FROM TV_channel WHERE directed_by!= "Ben Jones"
|
| 320 |
+
SELECT package_option FROM TV_channel WHERE directed_by!= 'Ben Jones'
|
| 321 |
+
SELECT Money_Rank FROM poker_player ORDER BY Money_Rank DESC
|
| 322 |
+
SELECT Money_Rank FROM poker_player WHERE Height = (SELECT max(Height) FROM people)
|
| 323 |
+
SELECT Money_Rank FROM poker_player ORDER BY Height DESC LIMIT 1
|
| 324 |
+
SELECT AVG(Earnings) FROM poker_player WHERE Height > 200
|
| 325 |
+
SELECT AVG(Earnings) FROM poker_player WHERE Height > 200
|
| 326 |
+
SELECT Nationality, COUNT(*) FROM people GROUP BY Nationality
|
| 327 |
+
SELECT Nationality, COUNT(*) FROM people GROUP BY Nationality
|
| 328 |
+
SELECT DISTINCT nationality FROM people GROUP BY nationality HAVING count(*) >= 2
|
| 329 |
+
SELECT Name FROM people WHERE Nationality!= "Russia"
|
| 330 |
+
SELECT Name FROM people WHERE Nationality!= "Russia"
|
| 331 |
+
SELECT created FROM VOTES WHERE state = 'CA'
|
| 332 |
+
SELECT count(*) FROM votes WHERE state = 'NY' OR state = 'CA'
|
| 333 |
+
SELECT created, state, phone_number FROM VOTES WHERE contestant_name = 'Tabatha Gehling'
|
| 334 |
+
SELECT DISTINCT t1.area_code FROM AREA_CODE_STATE AS t1 JOIN VOTES AS t2 ON t1.area_code = t2.area_code_state WHERE t2.contestant_name = "Tabatha Gehling" INTERSECT SELECT DISTINCT t1.area_code FROM AREA_CODE_STATE AS t1 JOIN VOTES AS t2 ON t1.area_code = t2.area_code_state WHERE t2.contestant_name = "Kelly Clauss"
|
| 335 |
+
SELECT DISTINCT Name FROM country WHERE IndependenceYear > 1950
|
| 336 |
+
SELECT DISTINCT Name FROM country WHERE IndepYear > 1950
|
| 337 |
+
SELECT count(*) FROM country WHERE CountryCode = "Republic"
|
| 338 |
+
SELECT count(DISTINCT countryCode FROM country WHERE GovernmentForm = "republic")
|
| 339 |
+
SELECT sum(surfacearea) FROM country WHERE continent = 'Caribbean'
|
| 340 |
+
SELECT sum(surfacearea) FROM country WHERE continent = 'Caribbean'
|
| 341 |
+
SELECT DISTINCT Continent FROM country WHERE Code2 = "Anguilla"
|
| 342 |
+
SELECT Continent FROM country WHERE Name = "Anguilla"
|
| 343 |
+
SELECT DISTINCT region FROM city WHERE name = "Kabul"
|
| 344 |
+
SELECT DISTINCT region FROM city WHERE name = "Kabul"
|
| 345 |
+
SELECT Language FROM countrylanguage WHERE CountryCode = "Aruba" ORDER BY Percentage DESC LIMIT 1
|
| 346 |
+
SELECT LANGUAGE FROM countrylanguage WHERE countryCode = "AR"
|
| 347 |
+
SELECT Population, LifeExpectancy FROM country WHERE CountryCode = "Brazil"
|
| 348 |
+
SELECT Population, LifeExpectancy FROM country ORDER BY LifeExpectancy DESC LIMIT 1
|
| 349 |
+
SELECT Region, Population FROM city WHERE countryCode = "Angola"
|
| 350 |
+
SELECT region, population FROM city WHERE countryCode = "Angola"
|
| 351 |
+
SELECT avg(LifeExpectancy) FROM country WHERE Continent = 'Africa'
|
| 352 |
+
SELECT avg(LifeExpectancy) FROM country WHERE Continent = 'Africa'
|
| 353 |
+
SELECT Name FROM country WHERE Continent = 'Asia' AND LifeExpectancy = (SELECT min(LifeExpectancy) FROM country WHERE Continent = 'Asia')
|
| 354 |
+
SELECT Name FROM country WHERE Continent = 'Asia' ORDER BY LifeExpectancy LIMIT 1
|
| 355 |
+
SELECT sum(population), max(gnp) FROM country AS T1 JOIN city AS T2 ON T1.Code = T2.CountryCode WHERE T1.Continent = 'Asia'
|
| 356 |
+
SELECT count(*), max(gnpold) FROM country AS T1 JOIN city AS T2 ON T1.Code = T2.countrycode WHERE T1.continent = 'Asia'
|
| 357 |
+
SELECT avg(LifeExpectancy) FROM country WHERE Continent = 'Africa' AND GovernmentForm = "Republique"
|
| 358 |
+
SELECT avg(LifeExpectancy) FROM country WHERE Continent = 'Africa' AND GovernmentForm = 'republic'
|
| 359 |
+
SELECT sum(SurfaceArea) FROM country AS T1 JOIN continent AS T2 ON T1.continent = T2.continent WHERE T1.region = 'Asia' OR T1.region = 'Europe'
|
| 360 |
+
SELECT sum(SurfaceArea) FROM country WHERE Continent = 'Asia' OR Continent = 'Europe'
|
| 361 |
+
SELECT COUNT(*) FROM city WHERE district = 'Gelderland'
|
| 362 |
+
SELECT sum(Population) FROM city WHERE District = "Gelderland"
|
| 363 |
+
SELECT avg(GNP), sum(population) FROM country AS T1 JOIN city AS T2 ON T1.Code = T2.CountryCode WHERE T1.continent = 'North America' AND T2.countrycode = 'United States'
|
| 364 |
+
SELECT avg(GNP), sum(Population) FROM country WHERE countryCode = 'US'
|
| 365 |
+
SELECT count(DISTINCT governmentform FROM country WHERE continent = "Africa")
|
| 366 |
+
SELECT count(DISTINCT governmentform) FROM country
|
| 367 |
+
SELECT count(*) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Name = "Aruba"
|
| 368 |
+
SELECT count(*) FROM countrylanguage WHERE countrycode = "Aruba"
|
| 369 |
+
SELECT count(*) FROM countrylanguage WHERE countrycode = "Afghanistan"
|
| 370 |
+
SELECT count(DISTINCT T2.Language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Name = "Afghanistan" AND T2.IsOfficial = 1;
|
| 371 |
+
SELECT t1.Name FROM country AS t1 JOIN countrylanguage AS t2 ON t1.Code = t2.CountryCode GROUP BY t2.Language ORDER BY count(*) DESC LIMIT 1
|
| 372 |
+
SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode GROUP BY T1.Name ORDER BY count(*) DESC LIMIT 1
|
| 373 |
+
SELECT continent FROM countrylanguage GROUP BY continent ORDER BY count(*) DESC LIMIT 1
|
| 374 |
+
SELECT Continent FROM countrylanguage GROUP BY Continent ORDER BY COUNT(*) DESC LIMIT 1
|
| 375 |
+
SELECT DISTINCT name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "English" INTERSECT SELECT DISTINCT name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "French"
|
| 376 |
+
SELECT Name FROM countrylanguage WHERE Language = "English" INTERSECT SELECT Name FROM countrylanguage WHERE Language = "French"
|
| 377 |
+
SELECT DISTINCT T2.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Language = "English" INTERSECT SELECT DISTINCT T2.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Language = "French"
|
| 378 |
+
SELECT DISTINCT name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.language = 'English' INTERSECT SELECT DISTINCT name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.language = 'French'
|
| 379 |
+
SELECT count(DISTINCT continent) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Name = "China" AND T2.Language = "Chinese"
|
| 380 |
+
SELECT count(DISTINCT language) FROM countrylanguage WHERE language = "Chinese"
|
| 381 |
+
SELECT DISTINCT region FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Language = "English" OR T1.Language = "Dutch"
|
| 382 |
+
SELECT DISTINCT region FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Language = "Dutch" OR T1.Language = "English"
|
| 383 |
+
SELECT DISTINCT CountryCode FROM countrylanguage WHERE Language = "English" OR Language = "Dutch"
|
| 384 |
+
SELECT LANGUAGE FROM countrylanguage WHERE Continent = 'Asia' ORDER BY Percentage DESC LIMIT 1
|
| 385 |
+
SELECT Language FROM countrylanguage WHERE Continent = 'Asia' GROUP BY Language ORDER BY COUNT(*) DESC LIMIT 1
|
| 386 |
+
SELECT DISTINCT Language FROM countrylanguage WHERE CountryCode IN (SELECT CountryCode FROM country WHERE Continent = 'Europe' AND IsOfficial = 'true')
|
| 387 |
+
SELECT Language FROM countrylanguage WHERE CountryCode = "RUS"
|
| 388 |
+
SELECT name FROM city WHERE language = 'english' GROUP BY name ORDER BY population DESC LIMIT 1
|
| 389 |
+
SELECT name FROM city WHERE language = "english"
|
| 390 |
+
SELECT name, population, lifeexpectancy FROM country ORDER BY surfacearea DESC LIMIT 1
|
| 391 |
+
SELECT avg(LifeExpectancy) FROM country WHERE Language!= "English"
|
| 392 |
+
SELECT AVG(LifeExpectancy) FROM country WHERE Language!= "English"
|
| 393 |
+
SELECT count(*) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Language!= "English"
|
| 394 |
+
SELECT count(*) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Language!= "English"
|
| 395 |
+
SELECT Language FROM countrylanguage WHERE CountryCode = "BE"
|
| 396 |
+
SELECT Language FROM countrylanguage WHERE IsOfficial = 'yes' AND HeadOfState = "Beatrix"
|
| 397 |
+
SELECT count(DISTINCT T1.Language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.GNPold < 1930)
|
| 398 |
+
SELECT count(DISTINCT language) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.indepyear < 1930
|
| 399 |
+
SELECT DISTINCT country FROM country WHERE SurfaceArea > (SELECT min(SurfaceArea) FROM country WHERE Continent = 'Europe')
|
| 400 |
+
SELECT CountryCode FROM country WHERE SurfaceArea > (SELECT max(SurfaceArea) FROM country WHERE Continent = 'Europe')
|
| 401 |
+
SELECT countryCode FROM country WHERE population < (SELECT min(population) FROM country WHERE continent = 'Asia')
|
| 402 |
+
SELECT countrycode FROM country WHERE population < (SELECT min(population) FROM country WHERE continent = 'Asia')
|
| 403 |
+
SELECT country FROM country WHERE Continent = 'Asia' AND Population > (SELECT min(population) FROM country WHERE Continent = 'Africa')
|
| 404 |
+
SELECT CountryCode FROM country WHERE Continent = 'Asia' GROUP BY CountryCode HAVING COUNT(*) > (SELECT min(population) FROM country WHERE Continent = 'Africa')
|
| 405 |
+
SELECT countryCode FROM country WHERE language!= "english"
|
| 406 |
+
SELECT countryCode FROM country WHERE Language!= "English"
|
| 407 |
+
SELECT CountryCode FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language!= "English"
|
| 408 |
+
SELECT countryCode FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language!= "English"
|
| 409 |
+
SELECT Code FROM country WHERE Language!= "English" AND CountryCode NOT IN (SELECT CountryCode FROM countrylanguage WHERE IsOfficial = "Republic")
|
| 410 |
+
SELECT countryCode FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language!= "English"
|
| 411 |
+
SELECT DISTINCT t1.name FROM city AS t1 JOIN country AS t2 ON t1.countrycode = t2.code WHERE t2.continent = 'Europe' AND t2.language!= 'English'
|
| 412 |
+
SELECT DISTINCT t1.name FROM city AS t1 JOIN country AS t2 ON t1.countrycode = t2.countrycode WHERE t2.name = "China" AND t2.official = 1
|
| 413 |
+
SELECT DISTINCT T1.name FROM city AS T1 JOIN country AS T2 ON T1.countrycode = T2.code2 WHERE T2.language = "Chinese" AND T1.countrycode = "Asia"
|
| 414 |
+
SELECT Name, indepYear, surfaceArea FROM country ORDER BY Population ASC LIMIT 1
|
| 415 |
+
SELECT Name, IndepYear, SurfaceArea FROM country ORDER BY Population ASC LIMIT 1
|
| 416 |
+
SELECT population, name, leader FROM country ORDER BY surfacearea DESC LIMIT 1
|
| 417 |
+
SELECT district, count(*) FROM city WHERE population > (SELECT avg(population) FROM city) GROUP BY district
|
| 418 |
+
SELECT District, COUNT(*) FROM city GROUP BY District HAVING COUNT(*) > (SELECT avg(population) FROM city)
|
| 419 |
+
SELECT name, surfacearea FROM country ORDER BY surfacearea DESC LIMIT 5
|
| 420 |
+
SELECT Name FROM country ORDER BY Population DESC LIMIT 3
|
| 421 |
+
SELECT Name FROM country ORDER BY Population DESC LIMIT 3
|
| 422 |
+
SELECT Name FROM country ORDER BY Population LIMIT 3
|
| 423 |
+
SELECT Name FROM country ORDER BY Population LIMIT 3
|
| 424 |
+
SELECT count(*) FROM country WHERE Continent = 'Asia'
|
| 425 |
+
SELECT count(*) FROM country WHERE Continent = 'Asia'
|
| 426 |
+
SELECT DISTINCT country FROM country WHERE continent = 'Europe' AND population = 80000
|
| 427 |
+
SELECT DISTINCT T1.Name FROM country AS T1 JOIN city AS T2 ON T1.Code = T2.CountryCode WHERE T1.Continent = 'Europe' AND T2.Population = 80000
|
| 428 |
+
SELECT sum(surfacearea), avg(surfacearea) FROM country WHERE continent = 'North America' AND population > 3000
|
| 429 |
+
SELECT sum(population), avg(population) FROM city WHERE continent = 'North America' AND surfacearea > 3000
|
| 430 |
+
SELECT DISTINCT name FROM city WHERE population > 160000 AND population < 900000
|
| 431 |
+
SELECT DISTINCT name FROM city WHERE population BETWEEN 160000 AND 900000
|
| 432 |
+
SELECT countrycode, language FROM countrylanguage ORDER BY percentage DESC LIMIT 1
|
| 433 |
+
SELECT countryCode, language FROM countrylanguage GROUP BY language ORDER BY percentage DESC LIMIT 10
|
| 434 |
+
SELECT COUNT(*), countrycode FROM countrylanguage WHERE language = "Spanish" GROUP BY countrycode ORDER BY percentage DESC LIMIT 1
|
| 435 |
+
SELECT count(*) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "Spanish" GROUP BY T1.CountryCode
|
| 436 |
+
SELECT CODE FROM countrylanguage WHERE LANGUAGE = "Spanish" ORDER BY Percentage DESC
|
| 437 |
+
SELECT CountryCode FROM countrylanguage WHERE Language = "Spanish"
|
| 438 |
+
SELECT Name FROM conductor ORDER BY Age ASC
|
| 439 |
+
SELECT Name FROM conductor ORDER BY Age
|
| 440 |
+
SELECT Name FROM conductor WHERE Nationality!= "USA"
|
| 441 |
+
SELECT Name FROM conductor WHERE Nationality!= "USA"
|
| 442 |
+
SELECT Record_Company FROM orchestra ORDER BY YEAR_OF_FOUNDED DESC
|
| 443 |
+
SELECT Record_Company FROM orchestra ORDER BY YEAR_OF_FOUNDED ASC
|
| 444 |
+
SELECT count(*) FROM orchestra WHERE Record_Company = "CD" OR Record_Company = "DVD"
|
| 445 |
+
SELECT grade FROM highschooler WHERE name = 'Kyle'
|
| 446 |
+
SELECT grade FROM highschooler WHERE name = "Kyle"
|
| 447 |
+
SELECT name FROM highschooler WHERE grade = "high school"
|
| 448 |
+
SELECT name FROM highschooler WHERE grade = "high"
|
| 449 |
+
SELECT ID FROM Highschooler WHERE name = "Kyle"
|
| 450 |
+
SELECT id FROM highschooler WHERE name = "Kyle"
|
| 451 |
+
SELECT count(*) FROM highschooler WHERE grade = "high"
|
| 452 |
+
SELECT count(*) FROM highschooler WHERE grade = 9 OR grade = 10
|
| 453 |
+
SELECT count(*), T1.year FROM highschooler AS T1 JOIN likes AS T2 ON T1.id = T2.student_id WHERE T1.grade = 'high' GROUP BY T1.year
|
| 454 |
+
SELECT count(*), T1.grade FROM highschooler AS T1 JOIN highschooler AS T2 ON T1.id = T2.id WHERE T1.grade = "high" GROUP BY T1.year
|
| 455 |
+
SELECT max(grade) FROM highschooler GROUP BY grade
|
| 456 |
+
SELECT T1.name FROM highschooler AS T1 JOIN friend AS T2 ON T1.id = T2.friend_id WHERE T1.name = 'Kyle'
|
| 457 |
+
SELECT T1.name FROM highschooler AS T1 JOIN friend AS T2 ON T1.id = T2.friend_id WHERE T1.name = 'Kyle'
|
| 458 |
+
SELECT count(*) FROM highschooler AS T1 JOIN friend AS T2 ON T1.id = T2.student_id WHERE T1.name = 'Kyle'
|
| 459 |
+
SELECT count(*) FROM highschooler AS T1 JOIN friend AS T2 ON T1.id = T2.friend_id WHERE T1.name = 'Kyle'
|
| 460 |
+
SELECT count(*) FROM likes AS T1 JOIN highschooler AS T2 ON T1.liked_id = T2.id WHERE T2.name = 'Kyle'
|
| 461 |
+
SELECT count(*) FROM likes AS T1 JOIN highschooler AS T2 ON T1.liked_id = T2.id WHERE T2.name = "Kyle"
|
| 462 |
+
SELECT avg(grade) FROM highschooler AS T1 JOIN likes AS T2 ON T1.id = T2.student_id GROUP BY T2.student_id
|
| 463 |
+
SELECT avg(grade) FROM highschooler AS T1 JOIN likes AS T2 ON T1.id = T2.student_id GROUP BY T1.id HAVING count(*) > 1
|
| 464 |
+
SELECT min(grade) FROM highschooler WHERE student_id NOT IN (SELECT friend_id FROM friend)
|
| 465 |
+
SELECT min(grade) FROM highschooler WHERE id NOT IN (SELECT student_id FROM friend)
|
| 466 |
+
SELECT professional_id, last_name, cell_number FROM professionals WHERE state = "Indiana" OR treatment_type_code IN (SELECT treatment_type_code FROM treatments GROUP BY treatment_type_code HAVING count(*) > 2)
|
| 467 |
+
SELECT T1.id, T1.last_name, T1.cell_number FROM professionals AS T1 JOIN treatments AS T2 ON T1.professional_id = T2.professional_id WHERE T1.state = "Indiana" OR T2.date_of_treatment > "2022-01-01"
|
| 468 |
+
SELECT T1.name FROM dogs AS T1 JOIN treatments AS T2 ON T1.dog_id = T2.dog_id WHERE T2.cost_of_treatment > 1000
|
| 469 |
+
SELECT T1.owner_id, T1.first_name, T1.last_name FROM owners AS T1 JOIN dogs AS T2 ON T1.owner_id = T2.owner_id GROUP BY T1.owner_id ORDER BY count(*) DESC LIMIT 1
|
| 470 |
+
SELECT T1.owner_id, T1.first_name, T1.last_name FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id = T2.owner_id GROUP BY T1.owner_id ORDER BY count(*) DESC LIMIT 1
|
| 471 |
+
SELECT DISTINCT T1.role, T1.first_name, T1.last_name FROM Professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id = T2.professional_id GROUP BY T1.professional_id HAVING count(*) >= 2
|
| 472 |
+
SELECT T1.id, T1.role, T1.first_name FROM Professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id = T2.professional_id GROUP BY T1.professional_id HAVING count(*) >= 2
|
| 473 |
+
SELECT treatment_type_description FROM treatment_types ORDER BY cost_of_treatment LIMIT 1
|
| 474 |
+
SELECT treatment_type_description FROM treatment_types ORDER BY cost_of_treatment ASC LIMIT 1
|
| 475 |
+
SELECT T1.owner_id, T1.zip_code FROM owners AS T1 JOIN dogs AS T2 ON T1.owner_id = T2.owner_id GROUP BY T1.owner_id ORDER BY sum(T2.charge_amount) DESC LIMIT 1
|
| 476 |
+
SELECT T1.owner_id, T1.zip_code FROM owners AS T1 JOIN dogs AS T2 ON T1.owner_id = T2.owner_id GROUP BY T1.owner_id ORDER BY sum(T2.charge_amount) DESC LIMIT 1
|
| 477 |
+
SELECT first_name, last_name FROM professionals AS T1 JOIN treatments AS T2 ON T1.professional_id = T2.professional_id WHERE T2.cost_of_treatment < (SELECT avg(cost_of_treatment) FROM treatments)
|
| 478 |
+
SELECT first_name, last_name FROM professionals AS T1 JOIN treatments AS T2 ON T1.professional_id = T2.professional_id WHERE cost_of_treatment < (SELECT avg(cost_of_treatment) FROM treatments)
|
| 479 |
+
SELECT T1.first_name, T1.name FROM owners AS T1 JOIN dogs AS T2 ON T1.owner_id = T2.owner_id WHERE T1.state = "Virginia"
|
| 480 |
+
SELECT first_name, T1.first_name FROM owners AS T1 JOIN dogs AS T2 ON T1.owner_id = T2.owner_id WHERE state = "Virginia"
|
| 481 |
+
SELECT last_name FROM owners WHERE age = (SELECT min(age) FROM dogs)
|
| 482 |
+
SELECT last_name FROM dogs ORDER BY age ASC LIMIT 1
|
| 483 |
+
SELECT email_address FROM professionals WHERE state = "Hawaii" OR state = "Wisconsin"
|
| 484 |
+
SELECT email_address FROM professionals WHERE state = "Hawaii" OR state = "Wisconsin"
|
| 485 |
+
SELECT count(*) FROM dogs WHERE age < (SELECT avg(age) FROM dogs)
|
| 486 |
+
SELECT count(*) FROM dogs WHERE age < (SELECT avg(age) FROM dogs)
|
| 487 |
+
SELECT max(t1.treatment_type_code) FROM treatments AS t1 JOIN treatment_types AS t2 ON t1.treatment_type_code = t2.treatment_type_code JOIN dogs AS t3 ON t1.dog_id = t3.dog_id
|
| 488 |
+
SELECT max(T1.cost_of_treatment) FROM treatments AS T1 JOIN dogs AS T2 ON T1.dog_id = T2.dog_id
|
| 489 |
+
SELECT name, weight, date_departed FROM dogs WHERE abandoned_yn = 'Y'
|
| 490 |
+
SELECT name, weight, date_of_birth FROM dogs WHERE abandoned_yn = 'Y'
|
| 491 |
+
SELECT Name FROM singer ORDER BY Net_Worth_Millions
|
| 492 |
+
SELECT Name FROM singer ORDER BY Net_Worth_Millions
|
| 493 |
+
SELECT Name FROM singer WHERE Citizenship!= "French"
|
| 494 |
+
SELECT Name FROM singer WHERE Citizenship!= "French"
|
| 495 |
+
SELECT DISTINCT T1.Name FROM singer AS T1 JOIN singer AS T2 ON T1.Singer_ID = T2.Singer_ID WHERE Birth_Year = 1948
|
| 496 |
+
SELECT Name FROM singer WHERE Birth_Year = 1948 OR Birth_Year = 1949
|
| 497 |
+
SELECT Name FROM singer ORDER BY Net_Worth_Millions DESC LIMIT 1
|
| 498 |
+
SELECT DISTINCT T2.Citizenship, COUNT(*) FROM singer AS T1 JOIN song AS T2 ON T1.Singer_ID = T2.Singer_ID GROUP BY T1.Citizenship
|
| 499 |
+
SELECT COUNT(*), COUNT(DISTINCT Citizenship FROM singer WHERE Birth_Year = 1990) FROM singer
|
| 500 |
+
SELECT DISTINCT Citizenship FROM singer GROUP BY Citizenship ORDER BY COUNT(*) DESC LIMIT 1
|
| 501 |
+
SELECT DISTINCT T2.Citizenship FROM song AS T1 JOIN singer AS T2 ON T1.Singer_ID = T2.Singer_ID
|
| 502 |
+
SELECT DISTINCT T2.Net_Worth_Millions, T1.Citizenship FROM singer AS T1 JOIN song AS T2 ON T1.Singer_ID = T2.Singer_ID
|
| 503 |
+
SELECT max(Net_Worth_Millions), Country FROM singer GROUP BY Country
|
| 504 |
+
SELECT DISTINCT T1.Name FROM singer AS T1 JOIN song AS T2 ON T1.Singer_ID = T2.Singer_ID WHERE T2.Sales > 300000
|
| 505 |
+
SELECT DISTINCT T2.Name FROM song AS T1 JOIN singer AS T2 ON T1.Singer_ID = T2.Singer_ID WHERE T1.Sales > 300000
|
| 506 |
+
SELECT DISTINCT T1.Citizenship FROM singer AS T1 JOIN singer AS T2 ON T1.Singer_ID = T2.Singer_ID WHERE T1.Birth_Year < 1945 AND T2.Birth_Year > 1955
|
| 507 |
+
SELECT DISTINCT T2.citizenship FROM singer AS T1 JOIN singer AS T2 ON T1.singer_id = T2.singer_id WHERE T1.birth_year < 1945 INTERSECT SELECT DISTINCT T2.citizenship FROM singer AS T1 JOIN singer AS T2 ON T1.singer_id = T2.singer_id WHERE T1.birth_year > 1955
|
| 508 |
+
SELECT property_name FROM properties WHERE property_type_code = 'HSE' OR property_type_code = 'APARTMENT' GROUP BY property_type_code HAVING count(*) > 1
|