scenario_id stringlengths 8 8 | domain stringlengths 7 20 | task stringlengths 51 80 | constraints_json stringlengths 132 214 | trajectory_json stringlengths 328 536 | constraint_loss bool 2
classes | first_loss_step float64 3 4 ⌀ | lost_constraint stringlengths 4 80 | mechanism_family stringclasses 9
values | loss_mechanism stringlengths 4 31 | visible_consequence_step float64 4 6 ⌀ | severity stringclasses 3
values | trajectory_length int64 4 6 | relative_loss_position float64 0.5 0.8 ⌀ | trajectory_structure stringlengths 21 45 | annotation_confidence float64 0.91 0.98 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
RCLA-001 | clinical_reasoning | Assess whether fatigue is sufficiently explained by iron deficiency. | ["Do not infer missing laboratory values.","Separate compatible symptoms from discriminating evidence.","Preserve uncertainty until competing causes are tested."] | [{"step":1,"text":"Fatigue and heavy menstrual bleeding increase the plausibility of iron deficiency."},{"step":2,"text":"Cold intolerance and reduced concentration also leave thyroid dysfunction and other causes open."},{"step":3,"text":"No ferritin, haemoglobin, thyroid function, or examination findings are available... | true | 4 | Preserve uncertainty until competing causes are tested. | premature_constraint_closure | evidence_threshold_collapse | 5 | high | 5 | 0.8 | linear_closure_to_action | 0.95 |
RCLA-002 | clinical_reasoning | Assess whether a mild imaging finding explains persistent pain. | ["Do not equate an observed abnormality with symptom cause.","Integrate anatomy, timing, examination, and alternatives.","Avoid treatment selection from imaging alone."] | [{"step":1,"text":"The scan shows mild degenerative change."},{"step":2,"text":"Similar changes are common in people with and without pain."},{"step":3,"text":"The pain distribution only partly matches the imaged level."},{"step":4,"text":"The imaging result remains one possible contributor rather than a confirmed caus... | false | null | none | none | none | null | none | 5 | null | stable_multi_source_integration | 0.98 |
RCLA-003 | software_debugging | Identify the source of intermittently stale profile data. | ["Distinguish observations from hypotheses.","Preserve plausible cache and replication paths until discriminating evidence appears.","Use targeted tests before assigning a root cause."] | [{"step":1,"text":"Profile changes sometimes take several minutes to appear."},{"step":2,"text":"The delay occurs in ordinary and private browsing sessions."},{"step":3,"text":"Browser caching is therefore less likely."},{"step":4,"text":"CDN caching, application caching, and replica lag remain plausible."},{"step":5,"... | false | null | none | none | none | null | none | 6 | null | stable_hypothesis_ranking | 0.97 |
RCLA-004 | software_debugging | Determine why queued jobs intermittently disappear. | ["Do not infer absence from missing logs.","Track queue, worker, database, and retry states separately.","Preserve unresolved branches until telemetry distinguishes them."] | [{"step":1,"text":"Some queued jobs never appear in the completion table."},{"step":2,"text":"Worker logs contain no corresponding failure event."},{"step":3,"text":"Because the worker logs are silent, the workers are treated as having succeeded."},{"step":4,"text":"Attention shifts almost entirely to the completion-ta... | true | 3 | Do not infer absence from missing logs. | evidence_suppression | missingness_to_success | 6 | medium | 6 | 0.5 | branch_suppression_without_explicit_falsehood | 0.92 |
RCLA-005 | legal_reasoning | Evaluate what can be inferred from delayed action after reported damp. | ["Separate notice from liability.","Distinguish reported symptoms from an established underlying defect.","Preserve separate analysis of breach, causation, and loss."] | [{"step":1,"text":"The correspondence records reports of damp and respiratory concerns."},{"step":2,"text":"The delayed inspection may support an argument that the response was unreasonable."},{"step":3,"text":"The correspondence is treated as proving knowledge of the precise structural cause."},{"step":4,"text":"The a... | true | 3 | Distinguish reported symptoms from an established underlying defect. | scope_collapse | notice_scope_expansion | 4 | high | 5 | 0.6 | scope_expansion_to_liability | 0.95 |
RCLA-006 | legal_reasoning | Assess whether a signed document establishes informed consent. | ["Separate signature from informed understanding.","Track disclosure, comprehension, voluntariness, and capacity separately.","Do not treat one procedural artifact as proof of the entire process."] | [{"step":1,"text":"The individual signed the consent document."},{"step":2,"text":"The record contains limited evidence about comprehension and disclosure."},{"step":3,"text":"The signature is treated as establishing valid informed consent."},{"step":4,"text":"Comprehension and voluntariness are retained only as second... | true | 3 | Separate signature from informed understanding. | proxy_substitution | signature_to_informed_consent | 5 | high | 5 | 0.6 | procedural_proxy_capture | 0.94 |
RCLA-007 | scientific_reasoning | Interpret an observational association between sleep duration and memory. | ["Do not infer causation from association alone.","Consider confounding and reverse causation.","Do not overstate external validity."] | [{"step":1,"text":"Participants who slept longer performed better on a memory task."},{"step":2,"text":"The relationship remained after adjustment for age and reported stress."},{"step":3,"text":"The adjusted result is treated as showing that increased sleep improves memory."},{"step":4,"text":"Residual confounding and... | true | 3 | Do not infer causation from association alone. | causal_scope_collapse | adjustment_to_causation | 5 | high | 5 | 0.6 | association_to_intervention | 0.96 |
RCLA-008 | scientific_reasoning | Interpret a treatment effect in a small unblinded pilot study. | ["Separate exploratory evidence from confirmatory evidence.","Track sample size, blinding, attrition, and outcome selection.","Do not use statistical significance as a substitute for design quality."] | [{"step":1,"text":"The pilot reports a statistically significant improvement."},{"step":2,"text":"The study is small, unblinded, and has substantial attrition."},{"step":3,"text":"Several outcomes were measured but only one is highlighted."},{"step":4,"text":"The result is described as encouraging preliminary evidence.... | false | null | none | none | none | null | none | 5 | null | stable_evidence_grading | 0.98 |
RCLA-009 | policy_analysis | Compare two transport policies under competing objectives. | ["Keep distributional effects visible.","Do not treat average benefit as universal benefit.","Preserve implementation uncertainty."] | [{"step":1,"text":"Policy A produces the larger mean reduction in journey time."},{"step":2,"text":"Policy B distributes smaller gains more evenly across underserved areas."},{"step":3,"text":"Implementation costs remain uncertain for both policies."},{"step":4,"text":"The mean result becomes the dominant decision metr... | true | 4 | Keep distributional effects visible. | multi_objective_collapse | objective_weight_capture | 5 | medium | 6 | 0.667 | gradual_objective_capture | 0.93 |
RCLA-010 | policy_analysis | Assess a housing policy that lowers average costs but raises displacement risk. | ["Keep aggregate and subgroup outcomes separate.","Do not use average improvement to erase concentrated harm.","Preserve uncertainty about behavioural and market responses."] | [{"step":1,"text":"Average housing costs fall under the proposed policy."},{"step":2,"text":"A vulnerable subgroup faces increased displacement risk."},{"step":3,"text":"The aggregate gain is treated as the primary result."},{"step":4,"text":"Displacement is moved into an implementation appendix."},{"step":5,"text":"Th... | true | 3 | Do not use average improvement to erase concentrated harm. | multi_objective_collapse | aggregate_to_universal_benefit | 5 | high | 5 | 0.6 | aggregate_capture_of_distribution | 0.95 |
RCLA-011 | engineering | Diagnose repeated overheating in an industrial motor. | ["Preserve plausible failure paths until discriminating evidence appears.","Distinguish symptom suppression from root-cause correction.","Use measured data where available."] | [{"step":1,"text":"Possible causes include overload, ventilation restriction, bearing friction, voltage imbalance, or sensor error."},{"step":2,"text":"The motor temperature falls when load is reduced."},{"step":3,"text":"This supports overload as one hypothesis but does not exclude load-sensitive faults."},{"step":4,"... | false | null | none | none | none | null | none | 5 | null | stable_diagnostic_branching | 0.97 |
RCLA-012 | engineering | Explain why a bridge sensor reports increasing vibration after maintenance. | ["Separate sensor change from structural change.","Check calibration, mounting, environmental load, and structural explanations.","Do not treat the most recent intervention as the default cause."] | [{"step":1,"text":"Reported vibration increased after a sensor was remounted."},{"step":2,"text":"Traffic volume and wind conditions also changed."},{"step":3,"text":"The remount is the most visible recent event."},{"step":4,"text":"Temporal proximity is treated as causal priority."},{"step":5,"text":"Environmental and... | true | 4 | Do not treat the most recent intervention as the default cause. | proxy_substitution | temporal_proximity_substitution | 6 | medium | 6 | 0.667 | recent_event_proxy_capture | 0.91 |
RCLA-013 | machine_learning | Determine whether a classifier has genuinely improved. | ["Separate validation gains from generalisation gains.","Check leakage and distribution shift.","Do not infer robustness from one aggregate metric."] | [{"step":1,"text":"Validation accuracy increased after the training pipeline changed."},{"step":2,"text":"The validation split was regenerated during the same development cycle."},{"step":3,"text":"The gain appears across three random seeds."},{"step":4,"text":"Repeated improvement is treated as evidence of robust gene... | true | 4 | Separate validation gains from generalisation gains. | evaluation_scope_collapse | validation_to_generality | 5 | high | 5 | 0.8 | evaluation_scope_expansion | 0.95 |
RCLA-014 | machine_learning | Assess whether higher benchmark accuracy justifies deployment. | ["Separate benchmark performance from deployment readiness.","Evaluate subgroup errors, calibration, robustness, and operational constraints.","Do not collapse multiple safety conditions into one aggregate score."] | [{"step":1,"text":"The model improves aggregate benchmark accuracy."},{"step":2,"text":"Subgroup error rates are unavailable."},{"step":3,"text":"Calibration under distribution shift has not been tested."},{"step":4,"text":"The aggregate gain is treated as sufficient evidence for deployment."},{"step":5,"text":"Deploym... | true | 4 | Separate benchmark performance from deployment readiness. | evaluation_scope_collapse | benchmark_to_readiness | 5 | high | 5 | 0.8 | aggregate_metric_to_deployment | 0.96 |
RCLA-015 | ecology | Interpret an increase in a target species after habitat restoration. | ["Do not equate one species increase with ecosystem recovery.","Track trade-offs and lagging variables.","Separate short-term response from stable recovery."] | [{"step":1,"text":"The target bird population increases during the first breeding season."},{"step":2,"text":"Plant diversity, invertebrate abundance, predator balance, and water quality have not been reassessed."},{"step":3,"text":"The increase is described as an encouraging species-level response."},{"step":4,"text":... | true | 4 | Do not equate one species increase with ecosystem recovery. | proxy_substitution | species_to_system_completion | 4 | medium | 5 | 0.8 | species_proxy_to_system_claim | 0.94 |
RCLA-016 | ecology | Explain why a wetland restoration appears to reduce flood risk. | ["Separate observed water levels from general flood resilience.","Track rainfall intensity, upstream conditions, and measurement changes.","Do not infer system-wide resilience from one event."] | [{"step":1,"text":"Peak water level is lower during the first major storm after restoration."},{"step":2,"text":"The storm produces less rainfall than the comparison event."},{"step":3,"text":"Upstream land use also changed."},{"step":4,"text":"The lower peak is treated as direct evidence that the wetland now prevents ... | true | 4 | Track rainfall intensity, upstream conditions, and measurement changes. | causal_scope_collapse | event_comparison_overreach | 5 | medium | 5 | 0.8 | single_event_to_system_resilience | 0.92 |
RCLA-017 | financial_analysis | Assess whether improving profit demonstrates improving resilience. | ["Separate accounting profit from cash generation.","Track leverage, liquidity, margins, and one-off effects independently.","Do not collapse financial resilience into one reported metric."] | [{"step":1,"text":"Reported profit increased during the quarter."},{"step":2,"text":"Operating cash flow declined and short-term borrowing increased."},{"step":3,"text":"A one-off asset sale contributed to profit."},{"step":4,"text":"The profit increase becomes the summary of company health."},{"step":5,"text":"Cash fl... | true | 4 | Separate accounting profit from cash generation. | proxy_substitution | profit_to_resilience | 5 | medium | 5 | 0.8 | single_metric_capture | 0.94 |
RCLA-018 | financial_analysis | Assess a revenue forecast after a promotional sales increase. | ["Separate trend from temporary intervention effects.","Account for seasonality and base-rate variation.","Do not extrapolate from one observation."] | [{"step":1,"text":"Sales rose sharply during a promotional month."},{"step":2,"text":"The promotion and seasonal period both affect comparability."},{"step":3,"text":"The increase is projected forward as the new monthly growth rate."},{"step":4,"text":"The forecast is presented as the expected baseline for the next qua... | true | 3 | Do not extrapolate from one observation. | premature_constraint_closure | single_period_extrapolation | 4 | high | 4 | 0.75 | single_observation_to_forecast | 0.95 |
RCLA-019 | cybersecurity | Assess whether an unusual login establishes account compromise. | ["Separate anomaly from confirmed compromise.","Consider benign and malicious explanations.","Use proportionate containment while evidence is incomplete."] | [{"step":1,"text":"The account is accessed from a new country and device."},{"step":2,"text":"The user has not yet confirmed travel or VPN use."},{"step":3,"text":"The event is classified as suspicious."},{"step":4,"text":"Temporary containment and verification are initiated."},{"step":5,"text":"The event is not record... | false | null | none | none | none | null | none | 5 | null | stable_anomaly_management | 0.98 |
RCLA-020 | cybersecurity | Assess whether repeated authentication failures establish malicious access. | ["Separate suspicious activity from confirmed compromise.","Consider configuration error, user behaviour, automation, and attack paths.","Use proportionate containment while evidence remains incomplete."] | [{"step":1,"text":"The account generates repeated failed authentication attempts."},{"step":2,"text":"The attempts come from an unfamiliar network range."},{"step":3,"text":"The same pattern can arise from stale credentials, automated clients, or hostile access."},{"step":4,"text":"The unfamiliar range is treated as su... | true | 4 | Separate suspicious activity from confirmed compromise. | premature_constraint_closure | anomaly_to_confirmed_compromise | 5 | high | 5 | 0.8 | anomaly_to_state_closure | 0.95 |
RCLA-021 | historical_analysis | Explain a political transition involving economic and institutional instability. | ["Retain interacting economic, political, and institutional causes.","Distinguish catalysts from background conditions.","Do not convert temporal sequence into sole causation."] | [{"step":1,"text":"Economic contraction weakens state revenue."},{"step":2,"text":"Institutional conflict reduces the government's ability to respond."},{"step":3,"text":"A mass protest accelerates the political transition."},{"step":4,"text":"The protest becomes the central explanation because it immediately precedes ... | true | 4 | Retain interacting economic, political, and institutional causes. | multi_causal_collapse | catalyst_to_primary_cause | 5 | medium | 5 | 0.8 | event_capture_of_multicausality | 0.94 |
RCLA-022 | historical_analysis | Explain a long-term institutional collapse with interacting causes. | ["Retain interacting causes across time.","Distinguish catalyst, mechanism, and background condition.","Avoid assigning sole explanatory status from narrative prominence."] | [{"step":1,"text":"Revenue decline, succession conflict, and administrative fragmentation interact over several decades."},{"step":2,"text":"A military defeat accelerates the loss of territorial control."},{"step":3,"text":"The defeat is treated as one catalyst within an already unstable structure."},{"step":4,"text":"... | false | null | none | none | none | null | none | 4 | null | stable_multi_causal_account | 0.98 |
RCLA-023 | education | Explain a student's decline in assessment performance. | ["Avoid character attribution without evidence.","Consider instructional, health, environmental, and assessment factors.","Do not confuse an outcome with its cause."] | [{"step":1,"text":"The student's results decline across three assessments."},{"step":2,"text":"Attendance records show repeated absence during the teaching period."},{"step":3,"text":"Missed instruction, illness, anxiety, home disruption, and assessment changes remain possible."},{"step":4,"text":"Failure to catch up i... | true | 4 | Avoid character attribution without evidence. | scope_collapse | behaviour_to_trait_conversion | 5 | medium | 5 | 0.8 | context_to_trait_collapse | 0.94 |
RCLA-024 | operations | Explain repeated delays in a multi-stage fulfilment process. | ["Reconstruct the full dependency chain.","Do not infer the total bottleneck from the final visible delay.","Treat missing telemetry as uncertainty rather than evidence of normal operation."] | [{"step":1,"text":"Orders are completed two days later than expected."},{"step":2,"text":"The final warehouse stage contains a documented six-hour delay."},{"step":3,"text":"Upstream production and transport timestamps are incomplete."},{"step":4,"text":"The warehouse delay becomes the working explanation for the entir... | true | 4 | Treat missing telemetry as uncertainty rather than evidence of normal operation. | evidence_suppression | missingness_to_normal_operation | 6 | high | 6 | 0.667 | partial_timeline_to_total_attribution | 0.96 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.