uid stringclasses 10
values | dataset_id stringclasses 1
value | year int64 2.02k 2.02k | industry stringclasses 5
values | region stringclasses 4
values | mode stringclasses 3
values | planned_on_time_rate stringclasses 2
values | actual_on_time_rate stringclasses 3
values | delay_trend stringclasses 2
values | route_congestion stringclasses 3
values | hub_handoff_success stringclasses 3
values | buffer_time_ok stringclasses 2
values | transport_summary stringclasses 10
values | question stringclasses 1
value | ground_truth_label stringclasses 2
values | ground_truth_rationale stringclasses 10
values | outcome_signal stringclasses 3
values | source_citation stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
TS-TR-001 | logistics-transport-schedule-coherence-risk-v0.1 | 2,024 | Retail | EU | road | high | high | stable | low | high | yes | Planned and actual on-time aligned; delays contained. | Is transport schedule coherence stable. Answer coherent or incoherent. | coherent | Plan matches execution. | stable_flow | Synthetic |
TS-TR-002 | logistics-transport-schedule-coherence-risk-v0.1 | 2,024 | Retail | EU | road | high | low | rising | high | medium | no | Rising delays and missed handoffs. | Is transport schedule coherence stable. Answer coherent or incoherent. | incoherent | Delay propagation building. | delay_risk | Synthetic |
TS-TR-003 | logistics-transport-schedule-coherence-risk-v0.1 | 2,023 | Pharma | US | air | high | high | stable | low | high | yes | Critical shipments on schedule. | Is transport schedule coherence stable. Answer coherent or incoherent. | coherent | Air bridge stable. | stable_flow | Synthetic |
TS-TR-004 | logistics-transport-schedule-coherence-risk-v0.1 | 2,023 | Pharma | US | air | high | medium | rising | medium | medium | no | Missed connections and variable ETAs. | Is transport schedule coherence stable. Answer coherent or incoherent. | incoherent | Handoff failures emerging. | delay_risk | Synthetic |
TS-TR-005 | logistics-transport-schedule-coherence-risk-v0.1 | 2,022 | Manufacturing | Asia | sea | medium | medium | stable | medium | high | yes | Port congestion stable and planned. | Is transport schedule coherence stable. Answer coherent or incoherent. | coherent | Buffers absorb variability. | stable_flow | Synthetic |
TS-TR-006 | logistics-transport-schedule-coherence-risk-v0.1 | 2,022 | Manufacturing | Asia | sea | medium | low | rising | high | low | no | Port delays cascading across routes. | Is transport schedule coherence stable. Answer coherent or incoherent. | incoherent | Congestion-driven drift. | delay_risk | Synthetic |
TS-TR-007 | logistics-transport-schedule-coherence-risk-v0.1 | 2,021 | Food | EU | road | high | high | stable | low | high | yes | Perishables delivered within windows. | Is transport schedule coherence stable. Answer coherent or incoherent. | coherent | Cold chain intact. | stable_flow | Synthetic |
TS-TR-008 | logistics-transport-schedule-coherence-risk-v0.1 | 2,021 | Food | EU | road | high | medium | rising | medium | medium | no | Late arrivals affecting shelf life. | Is transport schedule coherence stable. Answer coherent or incoherent. | incoherent | Time windows slipping. | spoilage_risk | Synthetic |
TS-TR-009 | logistics-transport-schedule-coherence-risk-v0.1 | 2,020 | Electronics | Global | air | high | high | stable | low | high | yes | Launch shipments on time. | Is transport schedule coherence stable. Answer coherent or incoherent. | coherent | Execution aligned. | stable_flow | Synthetic |
TS-TR-010 | logistics-transport-schedule-coherence-risk-v0.1 | 2,020 | Electronics | Global | air | high | low | rising | high | low | no | Missed flights and rebookings. | Is transport schedule coherence stable. Answer coherent or incoherent. | incoherent | Cascading delays. | delay_risk | Synthetic |
What this repo is for
detect delay propagation early
flag route congestion risk
monitor handoff reliability
improve ETA accuracy
support routing decisions
protect service levels
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