Datasets:
id stringlengths 138 138 | dataset stringlengths 83 83 | query_id int64 1 1 | source_task_key stringlengths 87 87 | query stringlengths 237 519 | messages stringlengths 13.1k 73.8k | final_answer stringlengths 42 402 | reward float64 1 1 | rollout_result stringlengths 704 1.09k | tool_trace stringclasses 29
values | tool_format stringclasses 1
value | expert_model stringclasses 1
value | expert_provider stringclasses 1
value | trajectory_judge stringlengths 1.08k 1.72k | source_task_contract stringlengths 81.1k 176k | sft_format_report stringlengths 293 299 | summary_row stringlengths 791 1.18k | agent_log stringlengths 270 290 | metadata stringclasses 3
values | sft_provenance stringclasses 4
values | operation_coverage_diagnostics stringclasses 9
values | trajectory_process_diagnostics stringlengths 1.08k 3.23k | trajectory_model_judge stringlengths 2.89k 7.19k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
synthetic_local500_gpt55_crm_00000_b2local500_gpt55_crm_ful_crmarenapro_crmarenapro__q1__expert_gpt-5.5_altimate_noctx_sample02_1782890163 | synthetic_local500_gpt55_crm_00000_b2local500_gpt55_crm_ful_crmarenapro_crmarenapro | 1 | synthetic_local500_gpt55_crm_00000_b2local500_gpt55_crm_ful_crmarenapro_crmarenapro::q1 | For calendar year 2023, find the active product family segment with the strongest activated-order revenue among orders and product catalog records. Use only products with usable family classification and at least two distinct products; return one JSON object with keys external_family, activated_revenue, activated_order... | [{"role":"system","content":"You are a data analysis agent for DataAgentBench. Use XML tool calls, execute real evidence in the sandbox, and finish with return_answer.\n\nHard rules:\n- Every non-final assistant turn must contain at least one XML function call.\n- Output exactly one XML function block per assistant tur... | {"external_family":"AI-Powered Circuit Design Tools","activated_revenue":474176.43,"activated_order_count":41,"product_count":5} | 1 | {"valid":true,"reward":1.0,"final_answer":"{\"external_family\":\"AI-Powered Circuit Design Tools\",\"activated_revenue\":474176.43,\"activated_order_count\":41,\"product_count\":5}","reason":"","terminate_reason":"return_answer","tool_calls":6,"parse_errors":1,"policy_blocks":0,"tool_errors":0,"tool_errors_by_name":{}... | [{"turn":1,"remaining_tokens_before":49152,"generate_sec":16.805991,"generated_tokens":259,"model_response":"<think>\nI need exact column names and samples for the hinted products/orders tables before writing the aggregation query.\n</think>\n<function=schema_inspect>\n<parameter=db_name>products_orders</parameter>\n<p... | qwen3_xml | gpt-5.5 | openai | {"accepted":true,"minimal_contract_ok":true,"legacy_strict_accepted":false,"selection_policy":"minimal_contract_for_model_judge","failures":[],"hard_failures":[],"diagnostic_failures":["too_many_parse_errors"],"legacy_strict_failures":["too_many_parse_errors"],"tool_calls":5,"reported_tool_calls":6,"min_tool_calls":2,"... | {"pipeline_id":"explore_crmarenapro_a5a1ed488c86e6a2_qopt5_ce8be482fb6c7e81","dataset":"synthetic_crmarenapro","query_id":1,"query":"For calendar year 2023, find the active product family segment with the strongest activated-order revenue among orders and product catalog records. Use only products with usable family cl... | {"assistant_messages":7,"assistant_messages_with_xml":6,"assistant_messages_without_xml":1,"multi_xml_selected_groups":0,"trimmed_assistant_messages":6,"assistant_reasoning_content":6,"assistant_reasoning_from_raw":6,"assistant_reasoning_derived":0,"assistant_reasoning_merged_into_content":6} | {"dataset":"synthetic_local500_gpt55_crm_00000_b2local500_gpt55_crm_ful_crmarenapro_crmarenapro","query_id":"1","model_key":"gpt-5.5","status":"ok","valid":"true","answer":"{\"external_family\":\"AI-Powered Circuit Design Tools\",\"activated_revenue\":474176.43,\"activated_order_count\":41,\"product_count\":5}","reason... | /tmp/dataagent_500_crm_fullrows_20260701_sft_topup/round01/shards/topup00/expert_eval_outputs/expert_gpt-5.5_altimate_noctx_sample02_1782890163/agent_logs/gpt-5.5/synthetic_local500_gpt55_crm_00000_b2local500_gpt55_crm_ful_crmarenapro_crmarenapro/query1/final_agent.json | {"sft_stage":"same_harness_expert_solve_trajectory","sampling_policy":"single_harness_xml_tool_trajectory_then_rule_reward_model_filter","data_selection_framework":"DataMind-style","expert_rollout_backend":"data_pipeline.altimate_sft_eval_adapter","expert_rollout_backend_role":"Altimate executes each expert trajectory ... | {"generation_mode":"real_rollout","adapter_mode":"verl_agent_loop","expert_harness":"altimate_noctx","allow_evidence_replay":false,"require_source_evidence_verified_for_replay":true,"require_source_evidence_verified_for_real_rollout":false,"source_evidence":{"verified":true,"evidence_verification_verified":true,"final_... | {"required_operations":{"id_normalization":true,"join_or_lookup":true,"aggregation":true,"ranking":true,"rounding":true,"verification_step":true},"explicit_evidence":{"id_normalization_tool_visible":true,"id_normalization_reasoning_visible":true,"join_or_lookup":true,"dict_index_lookup":false,"aggregation":true,"rankin... | {"motifs":{"schema_probe":true,"focused_data_probe":true,"aggregation_or_ranking":true,"join_lookup_bridge":true,"normalization":true,"python_postprocess":false,"verification_or_recompute":true,"error_recovery":false,"clean_return":true},"process_motif_count":6,"process_motif_names":["schema_probe","focused_data_probe"... | {"enabled":true,"packet_id":"sft_trajectory_judge_synthetic_local500_gpt55_crm_00000_b2local500_gpt55_crm_ful_crmarenapro_crmarenapro__q1__expert_gpt-5.5_altimate_noctx_sample02_1782890163","trajectory_id":"synthetic_local500_gpt55_crm_00000_b2local500_gpt55_crm_ful_crmarenapro_crmarenapro__q1__expert_gpt-5.5_altimate_... |
"synthetic_local500_gpt55_crm_00000_b3local500_gpt55_crm_ful_crmarenapro_crmarenapro__q1__expert_gpt(...TRUNCATED) | synthetic_local500_gpt55_crm_00000_b3local500_gpt55_crm_ful_crmarenapro_crmarenapro | 1 | synthetic_local500_gpt55_crm_00000_b3local500_gpt55_crm_ful_crmarenapro_crmarenapro::q1 | "For the 2023-2024 activated-order cohort, pick the eligible product bucket with strongest quantity,(...TRUNCATED) | "[{\"role\":\"system\",\"content\":\"You are a data analysis agent for DataAgentBench. The harness p(...TRUNCATED) | "{\"account_name\":\"BrightTech Systems\",\"industry\":\"Telecommunications\",\"shipping_state\":\"M(...TRUNCATED) | 1 | "{\"valid\":true,\"reward\":1.0,\"final_answer\":\"{\\\"account_name\\\":\\\"BrightTech Systems\\\",(...TRUNCATED) | [] | qwen3_xml | gpt-5.5 | openai | "{\"accepted\":true,\"minimal_contract_ok\":true,\"legacy_strict_accepted\":true,\"selection_policy\(...TRUNCATED) | "{\"pipeline_id\":\"explore_crmarenapro_012ef95b23effc9e_qopt5_245d067844168e11\",\"dataset\":\"synt(...TRUNCATED) | "{\"assistant_messages\":11,\"assistant_messages_with_xml\":11,\"assistant_messages_without_xml\":0,(...TRUNCATED) | "{\"dataset\":\"synthetic_local500_gpt55_crm_00000_b3local500_gpt55_crm_ful_crmarenapro_crmarenapro\(...TRUNCATED) | "/private/tmp/dataagent_500_crm_fullrows_20260701_sft_topup_low_retry11/round01/shards/topup01/exper(...TRUNCATED) | "{\"sft_stage\":\"same_harness_expert_solve_trajectory\",\"sampling_policy\":\"optional_multi_sample(...TRUNCATED) | "{\"generation_mode\":\"real_rollout\",\"adapter_mode\":\"verl_agent_loop\",\"expert_harness\":\"alt(...TRUNCATED) | "{\"required_operations\":{\"id_normalization\":true,\"join_or_lookup\":true,\"aggregation\":true,\"(...TRUNCATED) | "{\"motifs\":{\"schema_probe\":true,\"focused_data_probe\":true,\"aggregation_or_ranking\":true,\"jo(...TRUNCATED) | "{\"enabled\":true,\"packet_id\":\"sft_trajectory_judge_synthetic_local500_gpt55_crm_00000_b3local50(...TRUNCATED) |
"synthetic_local500_gpt55_crm_00000_b4local500_gpt55_crm_ful_crmarenapro_crmarenapro__q1__expert_gpt(...TRUNCATED) | synthetic_local500_gpt55_crm_00000_b4local500_gpt55_crm_ful_crmarenapro_crmarenapro | 1 | synthetic_local500_gpt55_crm_00000_b4local500_gpt55_crm_ful_crmarenapro_crmarenapro::q1 | "For AI Cirku-Tech from 2023-01-01 through 2024-12-31, which sales stage has the strongest qualified(...TRUNCATED) | "[{\"role\":\"system\",\"content\":\"You are a data analysis agent for DataAgentBench. The harness p(...TRUNCATED) | "{\"stage\":\"Discovery\",\"qualified_opportunities\":64,\"line_total\":356736.27,\"runner_up_stage\(...TRUNCATED) | 1 | "{\"valid\":true,\"reward\":1.0,\"final_answer\":\"{\\\"stage\\\":\\\"Discovery\\\",\\\"qualified_op(...TRUNCATED) | [] | qwen3_xml | gpt-5.5 | openai | "{\"accepted\":true,\"minimal_contract_ok\":true,\"legacy_strict_accepted\":true,\"selection_policy\(...TRUNCATED) | "{\"pipeline_id\":\"explore_crmarenapro_6f0fa27e0a8c5bd4_qopt3_dc628ecb43bb1caf\",\"dataset\":\"synt(...TRUNCATED) | "{\"assistant_messages\":13,\"assistant_messages_with_xml\":13,\"assistant_messages_without_xml\":0,(...TRUNCATED) | "{\"dataset\":\"synthetic_local500_gpt55_crm_00000_b4local500_gpt55_crm_ful_crmarenapro_crmarenapro\(...TRUNCATED) | "/private/tmp/dataagent_500_crm_fullrows_20260701_sft_topup_low_retry11/round01/shards/topup06/exper(...TRUNCATED) | "{\"sft_stage\":\"same_harness_expert_solve_trajectory\",\"sampling_policy\":\"optional_multi_sample(...TRUNCATED) | "{\"generation_mode\":\"real_rollout\",\"adapter_mode\":\"verl_agent_loop\",\"expert_harness\":\"alt(...TRUNCATED) | "{\"required_operations\":{\"id_normalization\":true,\"join_or_lookup\":true,\"aggregation\":true,\"(...TRUNCATED) | "{\"motifs\":{\"schema_probe\":true,\"focused_data_probe\":true,\"aggregation_or_ranking\":true,\"jo(...TRUNCATED) | "{\"enabled\":true,\"packet_id\":\"sft_trajectory_judge_synthetic_local500_gpt55_crm_00000_b4local50(...TRUNCATED) |
"synthetic_local500_gpt55_crm_00000_b5local500_gpt55_crm_ful_crmarenapro_crmarenapro__q1__expert_gpt(...TRUNCATED) | synthetic_local500_gpt55_crm_00000_b5local500_gpt55_crm_ful_crmarenapro_crmarenapro | 1 | synthetic_local500_gpt55_crm_00000_b5local500_gpt55_crm_ful_crmarenapro_crmarenapro::q1 | "For activated orders effective 2023-01-01 through 2024-12-31, find the resolved product category wi(...TRUNCATED) | "[{\"role\":\"system\",\"content\":\"You are a data analysis agent for DataAgentBench. The harness p(...TRUNCATED) | "{\"category\":\"AI-Powered Circuit Design Tools\",\"gross_value\":714361.56,\"total_quantity\":1691(...TRUNCATED) | 1 | "{\"valid\":true,\"reward\":1.0,\"final_answer\":\"{\\\"category\\\":\\\"AI-Powered Circuit Design T(...TRUNCATED) | [] | qwen3_xml | gpt-5.5 | openai | "{\"accepted\":true,\"minimal_contract_ok\":true,\"legacy_strict_accepted\":true,\"selection_policy\(...TRUNCATED) | "{\"pipeline_id\":\"explore_crmarenapro_6f2194683846486d_qopt5_02131c9bc6fd9692\",\"dataset\":\"synt(...TRUNCATED) | "{\"assistant_messages\":10,\"assistant_messages_with_xml\":10,\"assistant_messages_without_xml\":0,(...TRUNCATED) | "{\"dataset\":\"synthetic_local500_gpt55_crm_00000_b5local500_gpt55_crm_ful_crmarenapro_crmarenapro\(...TRUNCATED) | "/private/tmp/dataagent_500_crm_fullrows_20260701_sft_topup_low_retry11/round01/shards/topup03/exper(...TRUNCATED) | "{\"sft_stage\":\"same_harness_expert_solve_trajectory\",\"sampling_policy\":\"optional_multi_sample(...TRUNCATED) | "{\"generation_mode\":\"real_rollout\",\"adapter_mode\":\"verl_agent_loop\",\"expert_harness\":\"alt(...TRUNCATED) | "{\"required_operations\":{\"id_normalization\":true,\"join_or_lookup\":true,\"aggregation\":true,\"(...TRUNCATED) | "{\"motifs\":{\"schema_probe\":true,\"focused_data_probe\":true,\"aggregation_or_ranking\":true,\"jo(...TRUNCATED) | "{\"enabled\":true,\"packet_id\":\"sft_trajectory_judge_synthetic_local500_gpt55_crm_00000_b5local50(...TRUNCATED) |
"synthetic_local500_gpt55_crm_00000_local500_gpt55_crm_fullr_crmarenapro_crmarenapro__q1__expert_gpt(...TRUNCATED) | synthetic_local500_gpt55_crm_00000_local500_gpt55_crm_fullr_crmarenapro_crmarenapro | 1 | synthetic_local500_gpt55_crm_00000_local500_gpt55_crm_fullr_crmarenapro_crmarenapro::q1 | "For the 2023 activated-order cohort with active products only, find the customer-product pairing wi(...TRUNCATED) | "[{\"role\":\"system\",\"content\":\"You are a data analysis agent for DataAgentBench. Use XML tool (...TRUNCATED) | "{\"account_name\":\"BrightTech Systems\",\"product_name\":\"AI DesignShift\",\"gross_value\":127497(...TRUNCATED) | 1 | "{\"valid\":true,\"reward\":1.0,\"final_answer\":\"{\\\"account_name\\\":\\\"BrightTech Systems\\\",(...TRUNCATED) | "[{\"turn\":1,\"remaining_tokens_before\":49152,\"generate_sec\":18.236466,\"generated_tokens\":300,(...TRUNCATED) | qwen3_xml | gpt-5.5 | openai | "{\"accepted\":true,\"minimal_contract_ok\":true,\"legacy_strict_accepted\":false,\"selection_policy(...TRUNCATED) | "{\"pipeline_id\":\"explore_crmarenapro_f90f483f104f921c_qopt5_b60c233fcf949f66\",\"dataset\":\"synt(...TRUNCATED) | "{\"assistant_messages\":14,\"assistant_messages_with_xml\":13,\"assistant_messages_without_xml\":1,(...TRUNCATED) | "{\"dataset\":\"synthetic_local500_gpt55_crm_00000_local500_gpt55_crm_fullr_crmarenapro_crmarenapro\(...TRUNCATED) | "/tmp/dataagent_500_crm_fullrows_20260701_sft_topup/round01/shards/topup01/expert_eval_outputs/exper(...TRUNCATED) | "{\"sft_stage\":\"same_harness_expert_solve_trajectory\",\"sampling_policy\":\"single_harness_xml_to(...TRUNCATED) | "{\"generation_mode\":\"real_rollout\",\"adapter_mode\":\"verl_agent_loop\",\"expert_harness\":\"alt(...TRUNCATED) | "{\"required_operations\":{\"id_normalization\":true,\"join_or_lookup\":true,\"aggregation\":true,\"(...TRUNCATED) | "{\"motifs\":{\"schema_probe\":true,\"focused_data_probe\":true,\"aggregation_or_ranking\":true,\"jo(...TRUNCATED) | "{\"enabled\":true,\"packet_id\":\"sft_trajectory_judge_synthetic_local500_gpt55_crm_00000_local500_(...TRUNCATED) |
"synthetic_local500_gpt55_crm_00001_b2local500_gpt55_crm_ful_crmarenapro_crmarenapro__q1__expert_gpt(...TRUNCATED) | synthetic_local500_gpt55_crm_00001_b2local500_gpt55_crm_ful_crmarenapro_crmarenapro | 1 | synthetic_local500_gpt55_crm_00001_b2local500_gpt55_crm_ful_crmarenapro_crmarenapro::q1 | "For opportunity discussions created during 2023-2024, find the stage-and-discussion segment with th(...TRUNCATED) | "[{\"role\":\"system\",\"content\":\"You are a data analysis agent for DataAgentBench. The harness p(...TRUNCATED) | "{\"winner\":{\"stage\":\"Negotiation\",\"discussion_category\":\"commercial_terms\",\"transcript_co(...TRUNCATED) | 1 | "{\"valid\":true,\"reward\":1.0,\"final_answer\":\"{\\\"winner\\\":{\\\"stage\\\":\\\"Negotiation\\\(...TRUNCATED) | [] | qwen3_xml | gpt-5.5 | openai | "{\"accepted\":true,\"minimal_contract_ok\":true,\"legacy_strict_accepted\":true,\"selection_policy\(...TRUNCATED) | "{\"pipeline_id\":\"explore_crmarenapro_7c719e7eeb7b45ac_qopt4_56890dd0899a776e\",\"dataset\":\"synt(...TRUNCATED) | "{\"assistant_messages\":16,\"assistant_messages_with_xml\":16,\"assistant_messages_without_xml\":0,(...TRUNCATED) | "{\"dataset\":\"synthetic_local500_gpt55_crm_00001_b2local500_gpt55_crm_ful_crmarenapro_crmarenapro\(...TRUNCATED) | "/private/tmp/dataagent_500_crm_fullrows_20260701_sft_topup_low_retry11/round01/shards/topup02/exper(...TRUNCATED) | "{\"sft_stage\":\"same_harness_expert_solve_trajectory\",\"sampling_policy\":\"optional_multi_sample(...TRUNCATED) | "{\"generation_mode\":\"real_rollout\",\"adapter_mode\":\"verl_agent_loop\",\"expert_harness\":\"alt(...TRUNCATED) | "{\"required_operations\":{\"id_normalization\":true,\"join_or_lookup\":true,\"aggregation\":true,\"(...TRUNCATED) | "{\"motifs\":{\"schema_probe\":true,\"focused_data_probe\":true,\"aggregation_or_ranking\":true,\"jo(...TRUNCATED) | "{\"enabled\":true,\"packet_id\":\"sft_trajectory_judge_synthetic_local500_gpt55_crm_00001_b2local50(...TRUNCATED) |
"synthetic_local500_gpt55_crm_00001_b7local500_gpt55_crm_ful_crmarenapro_crmarenapro__q1__expert_gpt(...TRUNCATED) | synthetic_local500_gpt55_crm_00001_b7local500_gpt55_crm_ful_crmarenapro_crmarenapro | 1 | synthetic_local500_gpt55_crm_00001_b7local500_gpt55_crm_ful_crmarenapro_crmarenapro::q1 | "In the 2023-2024 CRM activity and opportunity-pipeline window, which opportunity stage shows the st(...TRUNCATED) | "[{\"role\":\"system\",\"content\":\"You are a data analysis agent for DataAgentBench. The harness p(...TRUNCATED) | "{\"stage\":\"Quote\",\"commercial_task_count\":173,\"linked_opportunity_count\":67,\"runner_up_stag(...TRUNCATED) | 1 | "{\"valid\":true,\"reward\":1.0,\"final_answer\":\"{\\\"stage\\\":\\\"Quote\\\",\\\"commercial_task_(...TRUNCATED) | [] | qwen3_xml | gpt-5.5 | openai | "{\"accepted\":true,\"minimal_contract_ok\":true,\"legacy_strict_accepted\":true,\"selection_policy\(...TRUNCATED) | "{\"pipeline_id\":\"explore_crmarenapro_94266948509fef6f_qopt2_fd984576d25a89a1\",\"dataset\":\"synt(...TRUNCATED) | "{\"assistant_messages\":13,\"assistant_messages_with_xml\":13,\"assistant_messages_without_xml\":0,(...TRUNCATED) | "{\"dataset\":\"synthetic_local500_gpt55_crm_00001_b7local500_gpt55_crm_ful_crmarenapro_crmarenapro\(...TRUNCATED) | "/private/tmp/dataagent_500_crm_fullrows_20260701_sft_topup_low_retry11/round01/shards/topup04/exper(...TRUNCATED) | "{\"sft_stage\":\"same_harness_expert_solve_trajectory\",\"sampling_policy\":\"optional_multi_sample(...TRUNCATED) | "{\"generation_mode\":\"real_rollout\",\"adapter_mode\":\"verl_agent_loop\",\"expert_harness\":\"alt(...TRUNCATED) | "{\"required_operations\":{\"id_normalization\":true,\"join_or_lookup\":true,\"aggregation\":true,\"(...TRUNCATED) | "{\"motifs\":{\"schema_probe\":true,\"focused_data_probe\":true,\"aggregation_or_ranking\":true,\"jo(...TRUNCATED) | "{\"enabled\":true,\"packet_id\":\"sft_trajectory_judge_synthetic_local500_gpt55_crm_00001_b7local50(...TRUNCATED) |
"synthetic_local500_gpt55_crm_00002_b4local500_gpt55_crm_ful_crmarenapro_crmarenapro__q1__expert_gpt(...TRUNCATED) | synthetic_local500_gpt55_crm_00002_b4local500_gpt55_crm_ful_crmarenapro_crmarenapro | 1 | synthetic_local500_gpt55_crm_00002_b4local500_gpt55_crm_ful_crmarenapro_crmarenapro::q1 | "For the 2023-2024 pipeline review, find the top 3 account follow-up targets by summed late-stage op(...TRUNCATED) | "[{\"role\":\"system\",\"content\":\"You are a data analysis agent for DataAgentBench. The harness p(...TRUNCATED) | "[{\"rank\":1,\"account_name\":\"AlphaTech Productions\",\"total_amount\":382598.12,\"opportunity_co(...TRUNCATED) | 1 | "{\"valid\":true,\"reward\":1.0,\"final_answer\":\"[{\\\"rank\\\":1,\\\"account_name\\\":\\\"AlphaTe(...TRUNCATED) | [] | qwen3_xml | gpt-5.5 | openai | "{\"accepted\":true,\"minimal_contract_ok\":true,\"legacy_strict_accepted\":true,\"selection_policy\(...TRUNCATED) | "{\"pipeline_id\":\"explore_crmarenapro_9d3040039a33f485_qopt2_05e0284e8ded9033\",\"dataset\":\"synt(...TRUNCATED) | "{\"assistant_messages\":16,\"assistant_messages_with_xml\":16,\"assistant_messages_without_xml\":0,(...TRUNCATED) | "{\"dataset\":\"synthetic_local500_gpt55_crm_00002_b4local500_gpt55_crm_ful_crmarenapro_crmarenapro\(...TRUNCATED) | "/private/tmp/dataagent_500_crm_fullrows_20260701_sft_topup_low_retry11/round01/shards/topup00/exper(...TRUNCATED) | "{\"sft_stage\":\"same_harness_expert_solve_trajectory\",\"sampling_policy\":\"optional_multi_sample(...TRUNCATED) | "{\"generation_mode\":\"real_rollout\",\"adapter_mode\":\"verl_agent_loop\",\"expert_harness\":\"alt(...TRUNCATED) | "{\"required_operations\":{\"id_normalization\":true,\"join_or_lookup\":true,\"aggregation\":true,\"(...TRUNCATED) | "{\"motifs\":{\"schema_probe\":true,\"focused_data_probe\":true,\"aggregation_or_ranking\":true,\"jo(...TRUNCATED) | "{\"enabled\":true,\"packet_id\":\"sft_trajectory_judge_synthetic_local500_gpt55_crm_00002_b4local50(...TRUNCATED) |
"synthetic_local500_gpt55_crm_00002_local500_gpt55_crm_fullr_crmarenapro_crmarenapro__q1__expert_gpt(...TRUNCATED) | synthetic_local500_gpt55_crm_00002_local500_gpt55_crm_fullr_crmarenapro_crmarenapro | 1 | synthetic_local500_gpt55_crm_00002_local500_gpt55_crm_fullr_crmarenapro_crmarenapro::q1 | "AI Cirku-Tech opportunities created in the first half of 2024: find the top sales-stage follow-up s(...TRUNCATED) | "[{\"role\":\"system\",\"content\":\"You are a data analysis agent for DataAgentBench. The harness p(...TRUNCATED) | "{\"stage\":\"Discovery\",\"opportunity_count\":17,\"pipeline_value_rounded\":78809.51,\"transcript_(...TRUNCATED) | 1 | "{\"valid\":true,\"reward\":1.0,\"final_answer\":\"{\\\"stage\\\":\\\"Discovery\\\",\\\"opportunity_(...TRUNCATED) | [] | qwen3_xml | gpt-5.5 | openai | "{\"accepted\":true,\"minimal_contract_ok\":true,\"legacy_strict_accepted\":true,\"selection_policy\(...TRUNCATED) | "{\"pipeline_id\":\"explore_crmarenapro_b202550875e8c517_qopt5_067bd0425c28f528\",\"dataset\":\"synt(...TRUNCATED) | "{\"assistant_messages\":10,\"assistant_messages_with_xml\":10,\"assistant_messages_without_xml\":0,(...TRUNCATED) | "{\"dataset\":\"synthetic_local500_gpt55_crm_00002_local500_gpt55_crm_fullr_crmarenapro_crmarenapro\(...TRUNCATED) | "/private/tmp/dataagent_500_crm_fullrows_20260701_sft_topup_low_retry11/round01/shards/topup05/exper(...TRUNCATED) | "{\"sft_stage\":\"same_harness_expert_solve_trajectory\",\"sampling_policy\":\"optional_multi_sample(...TRUNCATED) | "{\"generation_mode\":\"real_rollout\",\"adapter_mode\":\"verl_agent_loop\",\"expert_harness\":\"alt(...TRUNCATED) | "{\"required_operations\":{\"id_normalization\":true,\"join_or_lookup\":true,\"aggregation\":true,\"(...TRUNCATED) | "{\"motifs\":{\"schema_probe\":true,\"focused_data_probe\":true,\"aggregation_or_ranking\":true,\"jo(...TRUNCATED) | "{\"enabled\":true,\"packet_id\":\"sft_trajectory_judge_synthetic_local500_gpt55_crm_00002_local500_(...TRUNCATED) |
"synthetic_local500_gpt55_crm_00003_b2local500_gpt55_crm_ful_crmarenapro_crmarenapro__q1__expert_gpt(...TRUNCATED) | synthetic_local500_gpt55_crm_00003_b2local500_gpt55_crm_ful_crmarenapro_crmarenapro | 1 | synthetic_local500_gpt55_crm_00003_b2local500_gpt55_crm_ful_crmarenapro_crmarenapro::q1 | "For active product performance in 2023-2024, find the resolved product leading activated order valu(...TRUNCATED) | "[{\"role\":\"system\",\"content\":\"You are a data analysis agent for DataAgentBench. The harness p(...TRUNCATED) | "{\"product_name\":\"SecureFlow Suite\",\"product_id\":\"01tWt000006hV58IAE\",\"gross_order_value\":(...TRUNCATED) | 1 | "{\"valid\":true,\"reward\":1.0,\"final_answer\":\"{\\\"product_name\\\":\\\"SecureFlow Suite\\\",\\(...TRUNCATED) | [] | qwen3_xml | gpt-5.5 | openai | "{\"accepted\":true,\"minimal_contract_ok\":true,\"legacy_strict_accepted\":true,\"selection_policy\(...TRUNCATED) | "{\"pipeline_id\":\"explore_crmarenapro_868abb626e32c8d8_qopt2_2850d357afdd2fef\",\"dataset\":\"synt(...TRUNCATED) | "{\"assistant_messages\":17,\"assistant_messages_with_xml\":17,\"assistant_messages_without_xml\":0,(...TRUNCATED) | "{\"dataset\":\"synthetic_local500_gpt55_crm_00003_b2local500_gpt55_crm_ful_crmarenapro_crmarenapro\(...TRUNCATED) | "/private/tmp/dataagent_500_crm_fullrows_20260701_sft_topup_low_retry11/round01/shards/topup01/exper(...TRUNCATED) | "{\"sft_stage\":\"same_harness_expert_solve_trajectory\",\"sampling_policy\":\"optional_multi_sample(...TRUNCATED) | "{\"generation_mode\":\"real_rollout\",\"adapter_mode\":\"verl_agent_loop\",\"expert_harness\":\"alt(...TRUNCATED) | "{\"required_operations\":{\"id_normalization\":true,\"join_or_lookup\":true,\"aggregation\":true,\"(...TRUNCATED) | "{\"motifs\":{\"schema_probe\":true,\"focused_data_probe\":true,\"aggregation_or_ranking\":true,\"jo(...TRUNCATED) | "{\"enabled\":true,\"packet_id\":\"sft_trajectory_judge_synthetic_local500_gpt55_crm_00003_b2local50(...TRUNCATED) |
End of preview. Expand in Data Studio
DataAgent DAB Altimate NoCtx SFT 410
This dataset contains 410 validated SFT trajectories generated by an Altimate-centered DataAgent pipeline. The paired RL release is forseasons/dataagent-dabench-altimate-noctx-rl-500.
Contents
train_sft.jsonl: final SFT rows, one selected trajectory per task.train_sft.parquet: parquet version of the same final rows.summary.json: merge/filter summary.dataset_package_manifest.json: row counts, statistics, checksums.audit/: GLM judge packets/results and raw trajectory audit files.
Format
Rows use a ChatML-style message list with assistant XML tool calls in qwen3_xml style. Reasoning fields are process-faithful action rationales / trajectory rationales, not a claim of full private teacher chain-of-thought.
Statistics
- Rows: 410
- Unique tasks: 410
- Tool format:
qwen3_xml - Mean turns: 27.09
- Mean assistant XML tool calls: 12.43
- Mean GLM judge score: 0.888
Filtering
The trajectories were selected with Altimate no-context expert rollout, local contract checks, GLM-5.2 trajectory judge, self-consistency selection, and paired RL validator checks. All final rows passed the paired RL validate.py artifacts during merge.
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