id stringlengths 18 43 | task stringclasses 13
values | level int64 0 4 | state stringlengths 70 14.2k | questions stringlengths 162 2.86k | answers stringlengths 48 1.88k |
|---|---|---|---|---|---|
policy_under_uncertainty:train:19974 | policy_under_uncertainty | 3 | {"request": {"subject": {"role": "unknown", "team": "gamma", "clearance": 1}, "resource": {"team": "alpha", "sensitivity": "public"}, "action": "write"}, "role_evidence": {"history": "Of the last 26 requests from this account, 5 by analysts, 15 by engineers, 6 by managers. No other role has used it.", "reports": [{"sou... | {"access_allowed": {"type": "noul", "instructions": "Given the uncertainty about the requester's role, how likely is the request to be allowed?"}, "governing_policy": {"type": "choice", "instructions": "Which policy governs the request?", "criteria": {"P1": "P1", "P2": "P2", "P3": "P3", "P4": "P4", "P5": "P5", "P6": "P... | {"access_allowed": {"type": "noul", "noul": 1.0}, "governing_policy": {"type": "choice", "choice": "P2", "probabilities": {"P1": 0.0, "P2": 1.0, "P3": 0.0, "P4": 0.0, "P5": 0.0, "P6": 0.0, "P7": 0.0, "none (default deny)": 0.0}, "confidence": 1.0}, "requester_role": {"type": "choice", "choice": "engineer", "probabiliti... |
needle_retrieval:train:12317 | needle_retrieval | 1 | The locker L-0052 has city Hanoi. The locker L-7909 has city Bergen. The locker L-5063 has city Thies. The locker L-1429 has city Dakar. The locker L-5360 has city Lagos. The locker L-5668 has city Osaka. The locker L-5350 has city Porto. The locker L-5160 has city Perth. The locker L-3190 has city Osaka. The locker L-... | {"value_of_id": {"type": "choice", "criteria": {"Thies": "Thies", "Lagos": "Lagos", "Kobe": "Kobe", "Porto": "Porto", "Perth": "Perth", "Hue": "Hue", "Osaka": "Osaka"}, "instructions": "Which city is listed for locker L-5360?"}, "id_has_value": {"type": "noul", "instructions": "Does locker L-5360 have city Lagos?"}, "i... | {"value_of_id": {"type": "choice", "choice": "Lagos", "probabilities": {"Thies": 0.0, "Lagos": 1.0, "Kobe": 0.0, "Porto": 0.0, "Perth": 0.0, "Hue": 0.0, "Osaka": 0.0}, "confidence": 1.0}, "id_has_value": {"type": "noul", "noul": 1.0}, "id_listed": {"type": "noul", "noul": 0.0}} |
multi_view_adjudication:train:12656 | multi_view_adjudication | 0 | {"ticket": {"channel": "email"}, "billing": {"duplicate_charge": false, "invoice_mismatch": false, "refund_missing": false}, "account": {"active": false, "auth_failures": 1, "permission_mismatch": false, "tier": "free"}, "telemetry": {"integration_failures": 1, "error_rate_percent": 5}, "timeline": {"deadline_hours": 2... | {"intent": {"type": "choice", "instructions": "Following the intent rule, what is the primary operational issue?", "criteria": {"billing": "Payments, invoices, refunds, or charges.", "access": "Authentication, permissions, or account access.", "technical": "Product failures, bugs, or integrations.", "other": "None of t... | {"intent": {"type": "choice", "choice": "other", "probabilities": {"billing": 0.0, "access": 0.0, "technical": 0.0, "other": 1.0}, "confidence": 1.0}, "is_urgent": {"type": "noul", "noul": 1.0}, "workflow_impact": {"type": "score", "score": 1.0, "legend": {"0": "Level 0: no affected feature is down or slow.", "1": "Lev... |
needle_retrieval:train:7080 | needle_retrieval | 2 | The locker L-1501 has city Accra. The locker L-8812 has city Perth. The locker L-3833 has city Tunis. The locker L-8448 has city Accra. The locker L-2846 has city Cuenca. The locker L-2843 has city Braga. The locker L-2179 has city Porto. The locker L-1612 has city Lagos. The locker L-8486 has city Cusco. The locker L-... | {"value_of_id": {"type": "choice", "criteria": {"Porto": "Porto", "Thies": "Thies", "Perth": "Perth", "Dakar": "Dakar", "Cuenca": "Cuenca", "Lagos": "Lagos", "Braga": "Braga", "Tunis": "Tunis", "Osaka": "Osaka", "Sfax": "Sfax", "Hue": "Hue", "Hanoi": "Hanoi"}, "instructions": "Which city is listed for locker L-4842?"},... | {"value_of_id": {"type": "choice", "choice": "Hanoi", "probabilities": {"Porto": 0.0, "Thies": 0.0, "Perth": 0.0, "Dakar": 0.0, "Cuenca": 0.0, "Lagos": 0.0, "Braga": 0.0, "Tunis": 0.0, "Osaka": 0.0, "Sfax": 0.0, "Hue": 0.0, "Hanoi": 1.0}, "confidence": 1.0}, "id_has_value": {"type": "noul", "noul": 1.0}, "id_listed": {... |
taxonomy_routing:train:13761 | taxonomy_routing | 0 | Routing guide (a ticket goes to the category whose conditions it all meets; exactly one does):
category | rule
--- | ---
partners/priority | amount at most 50
software/specialists | region is west
shipping/review | tier is business
shipping/desk-b | amount above 50
partners/intake | amount above 500
onboarding/review |... | {"route": {"type": "choice", "criteria": {"partners/priority": "partners/priority", "software/specialists": "software/specialists", "shipping/review": "shipping/review", "shipping/desk-b": "shipping/desk-b", "partners/intake": "partners/intake", "onboarding/review": "onboarding/review", "returns/desk-a": "returns/desk-... | {"route": {"type": "choice", "choice": "shipping/desk-b", "probabilities": {"partners/priority": 0.0, "software/specialists": 0.0, "shipping/review": 0.0, "shipping/desk-b": 1.0, "partners/intake": 0.0, "onboarding/review": 0.0, "returns/desk-a": 0.0}, "confidence": 1.0}, "belongs_to": {"type": "noul", "noul": 0.0}, "c... |
evidence_sufficiency:train:19136 | evidence_sufficiency | 0 | {"claim": "The deployment is sufficiently supported as the cause of the incident.", "rules": ["Support is sufficient only with at least two independent valid supporting origins and no valid contradictory origin. Duplicates from one origin count once.", "Evidence with valid=false is invalid.", "Break reliability ties by... | {"claim_supported": {"type": "noul", "instructions": "Following the stated rules, is the claim sufficiently supported?"}, "has_conflict": {"type": "noul", "instructions": "Is there at least one valid supporting origin and at least one valid contradictory origin?"}, "strongest_support_origin": {"type": "choice", "instru... | {"claim_supported": {"type": "noul", "noul": 0.0}, "has_conflict": {"type": "noul", "noul": 1.0}, "strongest_support_origin": {"type": "choice", "choice": "S1", "probabilities": {"S1": 1.0, "S2": 0.0, "S3": 0.0, "none": 0.0}, "confidence": 1.0}} |
record_aggregation:train:16310 | record_aggregation | 3 | [{"item": "purple kettle", "category": "outdoor", "quantity": 8, "in_stock": true}, {"item": "yellow drill", "category": "outdoor", "quantity": 9, "in_stock": true}, {"item": "white clock", "category": "outdoor", "quantity": 9, "in_stock": true}, {"item": "purple lamp", "category": "kitchen", "quantity": 9, "in_stock":... | {"count_in_category": {"type": "score", "criteria": ["0", "1", "2", "3", "4", "5", "6", "7", "8", "9 or more"], "instructions": "How many listed items belong to office?"}, "largest_quantity": {"type": "choice", "criteria": {"white scarf": "white scarf", "gray rope": "gray rope", "gray chair": "gray chair", "blue mug": ... | {"count_in_category": {"type": "score", "score": 7.0, "legend": {"0": "0", "1": "1", "2": "2", "3": "3", "4": "4", "5": "5", "6": "6", "7": "7", "8": "8", "9": "9 or more"}, "probabilities": {"0": 0.0, "1": 0.0, "2": 0.0, "3": 0.0, "4": 0.0, "5": 0.0, "6": 0.0, "7": 1.0, "8": 0.0, "9": 0.0}, "confidence": 1.0}, "larges... |
partial_observation_calibration:train:12775 | partial_observation_calibration | 3 | {"prior_probability_incident": "1/3", "assumption": "Sensor observations are conditionally independent given whether the incident is real.", "sensors": [{"id": "S1", "observed": "negative", "p_positive_given_incident": "4/5", "p_positive_given_no_incident": "1/5"}, {"id": "S2", "observed": "positive", "p_positive_given... | {"incident_real": {"type": "noul", "instructions": "What is the posterior probability that the incident is real after conditioning on every sensor observation?"}} | {"incident_real": {"type": "noul", "noul": 0.272727}} |
arithmetic:train:14276 | arithmetic | 4 | Order lines (prices in $):
item=drill; unit_price=36; quantity=5
item=scarf; unit_price=27; quantity=3
item=rope; unit_price=76; quantity=7
item=clock; unit_price=16; quantity=7
item=kettle; unit_price=29; quantity=5
item=lamp; unit_price=22; quantity=3
item=mug; unit_price=78; quantity=7
Rule: Orders of $1650 or more... | {"random_line_bulk": {"type": "noul", "instructions": "If one order line is picked uniformly at random, what is the probability that its quantity is at least 5?"}, "amount_due": {"type": "choice", "criteria": {"$1645": "$1645", "$1647": "$1647", "$1637": "$1637", "$1179": "$1179", "$1101": "$1101"}, "instructions": "Af... | {"random_line_bulk": {"type": "noul", "noul": 0.714286}, "amount_due": {"type": "choice", "choice": "$1647", "probabilities": {"$1645": 0.0, "$1647": 1.0, "$1637": 0.0, "$1179": 0.0, "$1101": 0.0}, "confidence": 1.0}, "largest_line": {"type": "choice", "choice": "mug", "probabilities": {"drill": 0.0, "scarf": 0.0, "rop... |
evidence_sufficiency:train:18134 | evidence_sufficiency | 2 | {"claim": "The deployment is sufficiently supported as the cause of the incident.", "rules": ["Support is sufficient only with at least two independent valid supporting origins and no valid contradictory origin. Duplicates from one origin count once.", "Evidence with valid=false is invalid.", "A retraction makes the ev... | {"claim_supported": {"type": "noul", "instructions": "Following the stated rules, is the claim sufficiently supported?"}, "has_conflict": {"type": "noul", "instructions": "Is there at least one valid supporting origin and at least one valid contradictory origin?"}, "strongest_support_origin": {"type": "choice", "instru... | {"claim_supported": {"type": "noul", "noul": 0.0}, "has_conflict": {"type": "noul", "noul": 1.0}, "strongest_support_origin": {"type": "choice", "choice": "S4", "probabilities": {"S1": 0.0, "S2": 0.0, "S3": 0.0, "S4": 1.0, "S5": 0.0, "none": 0.0}, "confidence": 1.0}} |
arithmetic:train:16374 | arithmetic | 3 | Opening balance: €670
day | type | amount
--- | --- | ---
2 | withdrawal | 180
5 | withdrawal | 105
12 | withdrawal | 80
13 | deposit | 95
16 | withdrawal | 185
17 | withdrawal | 55
18 | deposit | 40
24 | withdrawal | 195 | {"random_is_deposit": {"type": "noul", "instructions": "If one transaction is picked uniformly at random, what is the probability that it is a deposit?"}, "lowest_day": {"type": "choice", "criteria": {"day 2": "day 2", "day 5": "day 5", "day 12": "day 12", "day 13": "day 13", "day 16": "day 16", "day 17": "day 17", "da... | {"random_is_deposit": {"type": "noul", "noul": 0.25}, "lowest_day": {"type": "choice", "choice": "day 24", "probabilities": {"day 2": 0.0, "day 5": 0.0, "day 12": 0.0, "day 13": 0.0, "day 16": 0.0, "day 17": 0.0, "day 18": 0.0, "day 24": 1.0}, "confidence": 1.0}} |
policy_under_uncertainty:train:14703 | policy_under_uncertainty | 3 | {"request": {"subject": {"role": "unknown", "team": "gamma", "clearance": 2}, "resource": {"team": "beta", "sensitivity": "restricted"}, "action": "write"}, "role_evidence": {"history": "Of the last 48 requests from this account, 3 by analysts, 29 by engineers, 16 by managers. No other role has used it.", "reports": [{... | {"access_allowed": {"type": "noul", "instructions": "Given the uncertainty about the requester's role, how likely is the request to be allowed?"}, "governing_policy": {"type": "choice", "instructions": "Which policy governs the request?", "criteria": {"P1": "P1", "P2": "P2", "P3": "P3", "P4": "P4", "P5": "P5", "P6": "P... | {"access_allowed": {"type": "noul", "noul": 0.999568}, "governing_policy": {"type": "choice", "choice": "P1", "probabilities": {"P1": 0.9995679723502304, "P2": 0.0, "P3": 0.0, "P4": 0.0, "P5": 0.0, "P6": 0.0, "none (default deny)": 0.0004320276497695853}, "confidence": 0.9995679723502304}, "requester_role": {"type": "c... |
partial_observation_calibration:train:6029 | partial_observation_calibration | 4 | {"prior_probability_incident": "1/5", "assumption": "Sensor observations are conditionally independent given whether the incident is real.", "sensors": [{"id": "S1", "observed": "positive", "p_positive_given_incident": "2/3", "p_positive_given_no_incident": "1/3"}, {"id": "S2", "observed": "positive", "p_positive_given... | {"incident_real": {"type": "noul", "instructions": "What is the posterior probability that the incident is real after conditioning on every sensor observation?"}} | {"incident_real": {"type": "noul", "noul": 0.058824}} |
event_state_reconstruction:train:17155 | event_state_reconstruction | 2 | {"initial_state": {"owner": "bob", "open": true, "severity": "routine"}, "events": [{"ts": 113, "kind": "assign", "owner": "carol"}, {"ts": 130, "kind": "reopen"}, {"ts": 127, "kind": "reopen"}, {"ts": 105, "kind": "reopen"}, {"ts": 106, "kind": "reopen"}, {"ts": 131, "kind": "severity", "severity": "degraded"}, {"ts":... | {"current_owner": {"type": "choice", "instructions": "Who owns the incident after replaying the event log?", "criteria": {"alice": "alice", "bob": "bob", "carol": "carol", "unassigned": "unassigned"}}, "is_open": {"type": "noul", "instructions": "Is the incident open after replaying the event log?"}, "current_severity"... | {"current_owner": {"type": "choice", "choice": "carol", "probabilities": {"alice": 0.0, "bob": 0.0, "carol": 1.0, "unassigned": 0.0}, "confidence": 1.0}, "is_open": {"type": "noul", "noul": 1.0}, "current_severity": {"type": "score", "score": 1.0, "legend": {"0": "routine: Routine.", "1": "degraded: Degraded service re... |
event_state_reconstruction:train:11592 | event_state_reconstruction | 0 | {"initial_state": {"owner": "alice", "open": true, "severity": "degraded"}, "events": [{"ts": 104, "kind": "reopen"}, {"ts": 110, "kind": "assign", "owner": "unassigned"}, {"ts": 116, "kind": "assign", "owner": "bob"}], "rule": "Start from initial_state and apply events in ascending timestamp order."} | {"current_owner": {"type": "choice", "instructions": "Who owns the incident after replaying the event log?", "criteria": {"alice": "alice", "bob": "bob", "carol": "carol", "unassigned": "unassigned"}}, "is_open": {"type": "noul", "instructions": "Is the incident open after replaying the event log?"}, "current_severity"... | {"current_owner": {"type": "choice", "choice": "bob", "probabilities": {"alice": 0.0, "bob": 1.0, "carol": 0.0, "unassigned": 0.0}, "confidence": 1.0}, "is_open": {"type": "noul", "noul": 1.0}, "current_severity": {"type": "score", "score": 1.0, "legend": {"0": "routine: Routine.", "1": "degraded: Degraded service requ... |
evidence_sufficiency:train:1731 | evidence_sufficiency | 2 | {"claim": "The deployment is sufficiently supported as the cause of the incident.", "rules": ["Support is sufficient only with at least two independent valid supporting origins and no valid contradictory origin. Duplicates from one origin count once.", "Evidence with valid=false is invalid.", "A retraction makes the ev... | {"claim_supported": {"type": "noul", "instructions": "Following the stated rules, is the claim sufficiently supported?"}, "has_conflict": {"type": "noul", "instructions": "Is there at least one valid supporting origin and at least one valid contradictory origin?"}, "strongest_support_origin": {"type": "choice", "instru... | {"claim_supported": {"type": "noul", "noul": 0.0}, "has_conflict": {"type": "noul", "noul": 1.0}, "strongest_support_origin": {"type": "choice", "choice": "S1", "probabilities": {"S1": 1.0, "S2": 0.0, "S3": 0.0, "S4": 0.0, "S5": 0.0, "none": 0.0}, "confidence": 1.0}} |
partial_observation_calibration:train:2181 | partial_observation_calibration | 4 | {"prior_probability_incident": "1/2", "assumption": "Sensor observations are conditionally independent given whether the incident is real.", "sensors": [{"id": "S1", "observed": "negative", "p_positive_given_incident": "3/4", "p_positive_given_no_incident": "1/4"}, {"id": "S2", "observed": "negative", "p_positive_given... | {"incident_real": {"type": "noul", "instructions": "What is the posterior probability that the incident is real after conditioning on every sensor observation?"}} | {"incident_real": {"type": "noul", "noul": 0.4}} |
arithmetic:train:9386 | arithmetic | 3 | Order lines (prices in £):
item | unit_price | quantity
--- | --- | ---
clock | 7 | 1
drill | 35 | 5
scarf | 2 | 2
tent | 43 | 6
kettle | 23 | 2
Rule: Orders of £500 or more get £10 off; smaller orders pay £8 shipping. | {"random_line_bulk": {"type": "noul", "instructions": "If one order line is picked uniformly at random, what is the probability that its quantity is at least 6?"}, "amount_due": {"type": "choice", "criteria": {"£452": "£452", "£490": "£490", "£498": "£498", "£499": "£499", "£508": "£508"}, "instructions": "How much is ... | {"random_line_bulk": {"type": "noul", "noul": 0.2}, "amount_due": {"type": "choice", "choice": "£498", "probabilities": {"£452": 0.0, "£490": 0.0, "£498": 1.0, "£499": 0.0, "£508": 0.0}, "confidence": 1.0}, "lines_above": {"type": "score", "score": 3.0, "legend": {"0": "0", "1": "1", "2": "2", "3": "3", "4": "4", "5": ... |
partial_observation_calibration:train:17498 | partial_observation_calibration | 3 | {"prior_probability_incident": "1/3", "assumption": "Sensor observations are conditionally independent given whether the incident is real.", "sensors": [{"id": "S1", "observed": "positive", "p_positive_given_incident": "3/4", "p_positive_given_no_incident": "1/4"}, {"id": "S2", "observed": "positive", "p_positive_given... | {"incident_real": {"type": "noul", "instructions": "What is the posterior probability that the incident is real after conditioning on every sensor observation?"}} | {"incident_real": {"type": "noul", "noul": 0.8}} |
partial_observation_calibration:train:6751 | partial_observation_calibration | 4 | {"prior_probability_incident": "1/2", "assumption": "Sensor observations are conditionally independent given whether the incident is real.", "sensors": [{"id": "S1", "observed": "positive", "p_positive_given_incident": "4/5", "p_positive_given_no_incident": "1/5"}, {"id": "S2", "observed": "positive", "p_positive_given... | {"incident_real": {"type": "noul", "instructions": "What is the posterior probability that the incident is real after conditioning on every sensor observation?"}} | {"incident_real": {"type": "noul", "noul": 0.975904}} |
record_aggregation:train:1910 | record_aggregation | 3 | item | category | quantity | in_stock
--- | --- | --- | ---
brown vase | office | 10 | True
white clock | kitchen | 13 | True
orange chair | kitchen | 1 | False
orange rope | office | 9 | True
brown drill | outdoor | 7 | False
green tent | tools | 6 | False
gray tent | office | 14 | False
brown tent | outdoor | 18 | Fa... | {"count_in_category": {"type": "score", "criteria": ["0", "1", "2", "3", "4", "5", "6", "7", "8", "9 or more"], "instructions": "How many items are in the garden category?"}, "largest_quantity": {"type": "choice", "criteria": {"red chair": "red chair", "brown vase": "brown vase", "purple mug": "purple mug", "brown cloc... | {"count_in_category": {"type": "score", "score": 5.0, "legend": {"0": "0", "1": "1", "2": "2", "3": "3", "4": "4", "5": "5", "6": "6", "7": "7", "8": "8", "9": "9 or more"}, "probabilities": {"0": 0.0, "1": 0.0, "2": 0.0, "3": 0.0, "4": 0.0, "5": 1.0, "6": 0.0, "7": 0.0, "8": 0.0, "9": 0.0}, "confidence": 1.0}, "larges... |
entity_belief_tracking:train:5549 | entity_belief_tracking | 2 | {"locations": ["shelf", "basement", "desk", "cabinet"], "initial_locations": {"item_1": "cabinet", "item_2": "cabinet"}, "events": [{"step": 1, "object": "item_2", "destination": "shelf", "witnesses": []}, {"step": 2, "object": "item_2", "destination": "desk", "witnesses": ["bob"]}, {"step": 3, "object": "item_2", "des... | {"world_location": {"type": "choice", "instructions": "Where is item_2 actually located after all events?", "criteria": {"shelf": "shelf", "basement": "basement", "desk": "desk", "cabinet": "cabinet"}}, "agent_belief_location": {"type": "choice", "instructions": "Where does alice believe item_2 is after all events?", "... | {"world_location": {"type": "choice", "choice": "desk", "probabilities": {"shelf": 0.0, "basement": 0.0, "desk": 1.0, "cabinet": 0.0}, "confidence": 1.0}, "agent_belief_location": {"type": "choice", "choice": "desk", "probabilities": {"shelf": 0.0, "basement": 0.0, "desk": 1.0, "cabinet": 0.0}, "confidence": 1.0}, "bel... |
needle_retrieval:train:3452 | needle_retrieval | 2 | id | branch
--- | ---
A-0796 | Cusco
A-2322 | Perth
A-1561 | Bergen
A-1304 | Kobe
A-1389 | Osaka
A-0396 | Braga
A-5571 | Tunis
A-0469 | Lima
A-0376 | Thies
A-9893 | Porto
A-0393 | Hue
A-1762 | Osaka
A-2346 | Thies
A-8990 | Cusco
A-9148 | Braga
A-3583 | Hue
A-6390 | Quito
A-0936 | Bergen
A-3096 | Oslo
A-0326 | Cuenca
A-... | {"value_of_id": {"type": "choice", "criteria": {"Dakar": "Dakar", "Kobe": "Kobe", "Hue": "Hue", "Cuenca": "Cuenca", "Cusco": "Cusco", "Lagos": "Lagos", "Tunis": "Tunis", "Bergen": "Bergen", "Quito": "Quito", "Thies": "Thies", "Braga": "Braga", "Sfax": "Sfax", "Porto": "Porto", "Osaka": "Osaka", "Oslo": "Oslo", "Hanoi":... | {"value_of_id": {"type": "choice", "choice": "Braga", "probabilities": {"Dakar": 0.0, "Kobe": 0.0, "Hue": 0.0, "Cuenca": 0.0, "Cusco": 0.0, "Lagos": 0.0, "Tunis": 0.0, "Bergen": 0.0, "Quito": 0.0, "Thies": 0.0, "Braga": 1.0, "Sfax": 0.0, "Porto": 0.0, "Osaka": 0.0, "Oslo": 0.0, "Hanoi": 0.0, "Lima": 0.0, "Darwin": 0.0,... |
needle_retrieval:train:17939 | needle_retrieval | 3 | id=S-1434; destination=Porto
id=S-8463; destination=Tunis
id=S-7411; destination=Quito
id=S-0411; destination=Hue
id=S-0224; destination=Braga
id=S-1179; destination=Lagos
id=S-5945; destination=Cusco
id=S-9445; destination=Sfax
id=S-0114; destination=Hanoi
id=S-4311; destination=Lagos
id=S-8049; destination=Dakar
id=S... | {"value_of_id": {"type": "choice", "criteria": {"Hanoi": "Hanoi", "Cusco": "Cusco", "Accra": "Accra", "Bergen": "Bergen", "Sfax": "Sfax", "Oslo": "Oslo", "Hue": "Hue", "Perth": "Perth", "Lagos": "Lagos", "Quito": "Quito"}, "instructions": "Look up shipment S-8821. Which destination does it have?"}, "id_has_value": {"ty... | {"value_of_id": {"type": "choice", "choice": "Hue", "probabilities": {"Hanoi": 0.0, "Cusco": 0.0, "Accra": 0.0, "Bergen": 0.0, "Sfax": 0.0, "Oslo": 0.0, "Hue": 1.0, "Perth": 0.0, "Lagos": 0.0, "Quito": 0.0}, "confidence": 1.0}, "id_has_value": {"type": "noul", "noul": 0.0}, "id_listed": {"type": "noul", "noul": 1.0}} |
evidence_sufficiency:train:148 | evidence_sufficiency | 1 | {"claim": "The deployment is sufficiently supported as the cause of the incident.", "rules": ["Support is sufficient only with at least two independent valid supporting origins and no valid contradictory origin. Duplicates from one origin count once.", "Evidence with valid=false is invalid.", "Break reliability ties by... | {"claim_supported": {"type": "noul", "instructions": "Following the stated rules, is the claim sufficiently supported?"}, "has_conflict": {"type": "noul", "instructions": "Is there at least one valid supporting origin and at least one valid contradictory origin?"}, "strongest_support_origin": {"type": "choice", "instru... | {"claim_supported": {"type": "noul", "noul": 0.0}, "has_conflict": {"type": "noul", "noul": 1.0}, "strongest_support_origin": {"type": "choice", "choice": "S1", "probabilities": {"S1": 1.0, "S2": 0.0, "S3": 0.0, "S4": 0.0, "none": 0.0}, "confidence": 1.0}} |
multi_view_adjudication:train:12707 | multi_view_adjudication | 1 | {"ticket": {"channel": "api"}, "billing": {"duplicate_charge": false, "invoice_mismatch": false, "refund_missing": false}, "account": {"active": false, "auth_failures": 1, "permission_mismatch": false, "tier": "free"}, "telemetry": {"integration_failures": 4, "error_rate_percent": 0}, "timeline": {"deadline_hours": 168... | {"intent": {"type": "choice", "instructions": "Following the intent rule, what is the primary operational issue?", "criteria": {"billing": "Payments, invoices, refunds, or charges.", "access": "Authentication, permissions, or account access.", "technical": "Product failures, bugs, or integrations.", "other": "None of t... | {"intent": {"type": "choice", "choice": "technical", "probabilities": {"billing": 0.0, "access": 0.0, "technical": 1.0, "other": 0.0}, "confidence": 1.0}, "is_urgent": {"type": "noul", "noul": 0.0}, "workflow_impact": {"type": "score", "score": 1.0, "legend": {"0": "Level 0: no affected feature is down or slow.", "1": ... |
table_lookup:train:1116 | table_lookup | 0 | {"people": [{"name": "Bruno", "team": "security", "city": "Lagos", "start_year": 2011}, {"name": "Elif", "team": "mobile", "city": "Braga", "start_year": 2019}, {"name": "Gil", "team": "billing", "city": "Cuenca", "start_year": 2010}, {"name": "Freya", "team": "data", "city": "Cuenca", "start_year": 2009}, {"name": "Um... | {"find_person": {"type": "choice", "criteria": {"Uma": "Uma", "Freya": "Freya", "Gil": "Gil", "Bruno": "Bruno", "Elif": "Elif"}, "instructions": "Which person works in Cuenca on the billing team?"}, "manager_of": {"type": "choice", "criteria": {"Omar": "Omar", "Rosa": "Rosa", "Dmitri": "Dmitri", "Lena": "Lena", "Nora":... | {"find_person": {"type": "choice", "choice": "Gil", "probabilities": {"Uma": 0.0, "Freya": 0.0, "Gil": 1.0, "Bruno": 0.0, "Elif": 0.0}, "confidence": 1.0}, "manager_of": {"type": "choice", "choice": "Omar", "probabilities": {"Omar": 1.0, "Rosa": 0.0, "Dmitri": 0.0, "Lena": 0.0, "Nora": 0.0, "Farah": 0.0}, "confidence":... |
table_lookup:train:18632 | table_lookup | 1 | {"people": [{"name": "Quinn", "team": "data", "city": "Accra", "start_year": 2008}, {"name": "Emeka", "team": "security", "city": "Cusco", "start_year": 2020}, {"name": "Mei", "team": "security", "city": "Accra", "start_year": 2018}, {"name": "Malik", "team": "security", "city": "Bergen", "start_year": 2010}, {"name": ... | {"find_person": {"type": "choice", "criteria": {"Lucia": "Lucia", "Kofi": "Kofi", "Freya": "Freya", "Mei": "Mei", "Quinn": "Quinn", "Jae": "Jae", "Dara": "Dara", "Lena": "Lena", "Malik": "Malik", "Emeka": "Emeka"}, "instructions": "Which person works in Accra on the security team?"}, "manager_of": {"type": "choice", "c... | {"find_person": {"type": "choice", "choice": "Mei", "probabilities": {"Lucia": 0.0, "Kofi": 0.0, "Freya": 0.0, "Mei": 1.0, "Quinn": 0.0, "Jae": 0.0, "Dara": 0.0, "Lena": 0.0, "Malik": 0.0, "Emeka": 0.0}, "confidence": 1.0}, "manager_of": {"type": "choice", "choice": "Omar", "probabilities": {"Tariq": 0.0, "Elif": 0.0, ... |
policy_under_uncertainty:train:15863 | policy_under_uncertainty | 3 | {"request": {"subject": {"role": "unknown", "team": "gamma", "clearance": 1}, "resource": {"team": "gamma", "sensitivity": "internal"}, "action": "write"}, "role_evidence": {"history": "Of the last 51 requests from this account, 16 by analysts, 9 by engineers, 26 by managers. No other role has used it.", "reports": [{"... | {"access_allowed": {"type": "noul", "instructions": "Given the uncertainty about the requester's role, how likely is the request to be allowed?"}, "governing_policy": {"type": "choice", "instructions": "Which policy governs the request?", "criteria": {"P1": "P1", "P2": "P2", "P3": "P3", "P4": "P4", "P5": "P5", "P6": "P... | {"access_allowed": {"type": "noul", "noul": 0.0}, "governing_policy": {"type": "choice", "choice": "none (default deny)", "probabilities": {"P1": 0.0, "P2": 0.0, "P3": 0.0, "P4": 0.0, "P5": 0.0, "P6": 0.0, "none (default deny)": 1.0}, "confidence": 1.0}, "requester_role": {"type": "choice", "choice": "engineer", "proba... |
arithmetic:train:8913 | arithmetic | 1 | {"opening_balance": 0, "currency": "£", "transactions": [{"day": 13, "type": "deposit", "amount": 80}, {"day": 16, "type": "withdrawal", "amount": 10}, {"day": 22, "type": "withdrawal", "amount": 30}, {"day": 28, "type": "withdrawal", "amount": 30}]} | {"lowest_day": {"type": "choice", "criteria": {"day 13": "day 13", "day 16": "day 16", "day 22": "day 22", "day 28": "day 28"}, "instructions": "On which day does the balance reach its minimum?"}, "random_is_deposit": {"type": "noul", "instructions": "If one transaction is picked uniformly at random, what is the probab... | {"lowest_day": {"type": "choice", "choice": "day 28", "probabilities": {"day 13": 0.0, "day 16": 0.0, "day 22": 0.0, "day 28": 1.0}, "confidence": 1.0}, "random_is_deposit": {"type": "noul", "noul": 0.25}, "withdrawal_count": {"type": "score", "score": 3.0, "legend": {"0": "0", "1": "1", "2": "2", "3": "3", "4": "4", "... |
event_state_reconstruction:train:16740 | event_state_reconstruction | 3 | {"initial_state": {"owner": "carol", "open": true, "severity": "critical"}, "events": [{"ts": 130, "kind": "note", "text": "triage"}, {"ts": 134, "kind": "note", "text": "customer update"}, {"ts": 120, "kind": "severity", "severity": "critical"}, {"ts": 135, "kind": "resolve"}, {"ts": 117, "kind": "severity", "severity... | {"current_owner": {"type": "choice", "instructions": "Who owns the incident after replaying the event log?", "criteria": {"alice": "alice", "bob": "bob", "carol": "carol", "unassigned": "unassigned"}}, "is_open": {"type": "noul", "instructions": "Is the incident open after replaying the event log?"}, "current_severity"... | {"current_owner": {"type": "choice", "choice": "alice", "probabilities": {"alice": 1.0, "bob": 0.0, "carol": 0.0, "unassigned": 0.0}, "confidence": 1.0}, "is_open": {"type": "noul", "noul": 0.0}, "current_severity": {"type": "score", "score": 2.0, "legend": {"0": "routine: Routine.", "1": "degraded: Degraded service re... |
arithmetic:train:2604 | arithmetic | 0 | Start: 09:05
task,duration
planning,25 min
client call,30 min
Tasks run back to back in this order. | {"done_by_deadline": {"type": "noul", "instructions": "Does the last task end at or before 10:05?"}, "longest_task": {"type": "choice", "criteria": {"planning": "planning", "client call": "client call"}, "instructions": "Which task is the longest?"}, "finish_time": {"type": "choice", "criteria": {"10:15": "10:15", "11:... | {"done_by_deadline": {"type": "noul", "noul": 1.0}, "longest_task": {"type": "choice", "choice": "client call", "probabilities": {"planning": 0.0, "client call": 1.0}, "confidence": 1.0}, "finish_time": {"type": "choice", "choice": "10:00", "probabilities": {"10:15": 0.0, "11:00": 0.0, "10:00": 1.0, "10:10": 0.0, "10:0... |
needle_retrieval:train:7670 | needle_retrieval | 0 | id | office
--- | ---
B-2443 | Cusco
B-5600 | Cuenca
B-5810 | Dakar
B-3800 | Cusco
B-3036 | Braga
B-5008 | Cuenca
B-5080 | Bergen
B-8139 | Braga
B-5800 | Bergen | {"value_of_id": {"type": "choice", "criteria": {"Lima": "Lima", "Dakar": "Dakar", "Osaka": "Osaka", "Cuenca": "Cuenca", "Accra": "Accra", "Porto": "Porto", "Lagos": "Lagos", "Cusco": "Cusco", "Oslo": "Oslo", "Sfax": "Sfax", "Thies": "Thies", "Bergen": "Bergen"}, "instructions": "Look up badge B-5800. Which office does ... | {"value_of_id": {"type": "choice", "choice": "Bergen", "probabilities": {"Lima": 0.0, "Dakar": 0.0, "Osaka": 0.0, "Cuenca": 0.0, "Accra": 0.0, "Porto": 0.0, "Lagos": 0.0, "Cusco": 0.0, "Oslo": 0.0, "Sfax": 0.0, "Thies": 0.0, "Bergen": 1.0}, "confidence": 1.0}, "id_has_value": {"type": "noul", "noul": 0.0}, "id_listed":... |
partial_observation_calibration:train:8305 | partial_observation_calibration | 3 | {"prior_probability_incident": "1/2", "assumption": "Sensor observations are conditionally independent given whether the incident is real.", "sensors": [{"id": "S1", "observed": "positive", "p_positive_given_incident": "4/5", "p_positive_given_no_incident": "1/5"}, {"id": "S2", "observed": "negative", "p_positive_given... | {"incident_real": {"type": "noul", "instructions": "What is the posterior probability that the incident is real after conditioning on every sensor observation?"}} | {"incident_real": {"type": "noul", "noul": 0.75}} |
evidence_sufficiency:train:2517 | evidence_sufficiency | 4 | {"claim": "The deployment is sufficiently supported as the cause of the incident.", "rules": ["Support is sufficient only with at least two independent valid supporting origins and no valid contradictory origin. Duplicates from one origin count once.", "Evidence is valid only if collected on day 9 or later.", "A retrac... | {"claim_supported": {"type": "noul", "instructions": "Following the stated rules, is the claim sufficiently supported?"}, "has_conflict": {"type": "noul", "instructions": "Is there at least one valid supporting origin and at least one valid contradictory origin?"}, "strongest_support_origin": {"type": "choice", "instru... | {"claim_supported": {"type": "noul", "noul": 0.0}, "has_conflict": {"type": "noul", "noul": 1.0}, "strongest_support_origin": {"type": "choice", "choice": "S7", "probabilities": {"S1": 0.0, "S2": 0.0, "S3": 0.0, "S4": 0.0, "S5": 0.0, "S6": 0.0, "S7": 1.0, "S8": 0.0, "S9": 0.0, "S10": 0.0, "S11": 0.0, "none": 0.0}, "con... |
evidence_sufficiency:train:8486 | evidence_sufficiency | 2 | {"claim": "The deployment is sufficiently supported as the cause of the incident.", "rules": ["Support is sufficient only with at least two independent valid supporting origins and no valid contradictory origin. Duplicates from one origin count once.", "Evidence with valid=false is invalid.", "A retraction makes the ev... | {"claim_supported": {"type": "noul", "instructions": "Following the stated rules, is the claim sufficiently supported?"}, "has_conflict": {"type": "noul", "instructions": "Is there at least one valid supporting origin and at least one valid contradictory origin?"}, "strongest_support_origin": {"type": "choice", "instru... | {"claim_supported": {"type": "noul", "noul": 0.0}, "has_conflict": {"type": "noul", "noul": 1.0}, "strongest_support_origin": {"type": "choice", "choice": "S1", "probabilities": {"S1": 1.0, "S2": 0.0, "S3": 0.0, "S4": 0.0, "S5": 0.0, "none": 0.0}, "confidence": 1.0}} |
table_lookup:train:14328 | table_lookup | 3 | {"people": [{"name": "Carlos", "team": "mobile", "city": "Braga", "start_year": 2011}, {"name": "Bea", "team": "search", "city": "Dakar", "start_year": 2011}, {"name": "Kenji", "team": "mobile", "city": "Dakar", "start_year": 2008}, {"name": "Malik", "team": "search", "city": "Braga", "start_year": 2023}, {"name": "Len... | {"find_person": {"type": "choice", "criteria": {"Nora": "Nora", "Dmitri": "Dmitri", "Freya": "Freya", "Jae": "Jae", "Kenji": "Kenji", "Dara": "Dara", "Jonas": "Jonas", "Bea": "Bea", "Ines": "Ines", "Farah": "Farah", "Ada": "Ada", "Carlos": "Carlos", "Malik": "Malik", "Lena": "Lena"}, "instructions": "Which person works... | {"find_person": {"type": "choice", "choice": "Ada", "probabilities": {"Nora": 0.0, "Dmitri": 0.0, "Freya": 0.0, "Jae": 0.0, "Kenji": 0.0, "Dara": 0.0, "Jonas": 0.0, "Bea": 0.0, "Ines": 0.0, "Farah": 0.0, "Ada": 1.0, "Carlos": 0.0, "Malik": 0.0, "Lena": 0.0}, "confidence": 1.0}, "manager_of": {"type": "choice", "choice"... |
entity_belief_tracking:train:13676 | entity_belief_tracking | 2 | {"locations": ["vault", "lab", "garage", "archive", "drawer", "locker", "shelf", "mailroom", "basement"], "initial_locations": {"item_1": "shelf", "item_2": "archive"}, "events": [{"step": 1, "object": "item_2", "destination": "shelf", "witnesses": ["carol"]}, {"step": 2, "object": "item_1", "destination": "locker", "w... | {"world_location": {"type": "choice", "instructions": "Where is item_1 actually located after all events?", "criteria": {"vault": "vault", "lab": "lab", "garage": "garage", "archive": "archive", "drawer": "drawer", "locker": "locker", "shelf": "shelf", "mailroom": "mailroom", "basement": "basement"}}, "agent_belief_loc... | {"world_location": {"type": "choice", "choice": "locker", "probabilities": {"vault": 0.0, "lab": 0.0, "garage": 0.0, "archive": 0.0, "drawer": 0.0, "locker": 1.0, "shelf": 0.0, "mailroom": 0.0, "basement": 0.0}, "confidence": 1.0}, "agent_belief_location": {"type": "choice", "choice": "garage", "probabilities": {"vault... |
record_aggregation:train:2387 | record_aggregation | 1 | item,category,quantity,in_stock
purple drill,office,5,True
white rope,kitchen,1,True
blue kettle,outdoor,14,True
black vase,garden,2,True
yellow scarf,tools,11,True
white scarf,outdoor,8,True
orange kettle,garden,4,False
green chair,office,1,True
red clock,tools,1,True
red kettle,outdoor,13,True
yellow tent,outdoor,13,... | {"count_in_category": {"type": "score", "criteria": ["0", "1", "2", "3", "4", "5", "6", "7", "8", "9 or more"], "instructions": "Count the kitchen items."}, "largest_quantity": {"type": "choice", "criteria": {"purple drill": "purple drill", "white rope": "white rope", "gray clock": "gray clock", "blue kettle": "blue ke... | {"count_in_category": {"type": "score", "score": 2.0, "legend": {"0": "0", "1": "1", "2": "2", "3": "3", "4": "4", "5": "5", "6": "6", "7": "7", "8": "8", "9": "9 or more"}, "probabilities": {"0": 0.0, "1": 0.0, "2": 1.0, "3": 0.0, "4": 0.0, "5": 0.0, "6": 0.0, "7": 0.0, "8": 0.0, "9": 0.0}, "confidence": 1.0}, "larges... |
record_aggregation:train:9738 | record_aggregation | 3 | item | category | quantity | in_stock
--- | --- | --- | ---
white lamp | outdoor | 5 | False
yellow scarf | kitchen | 1 | False
yellow rope | kitchen | 15 | False
brown rope | outdoor | 13 | True
orange lamp | outdoor | 6 | True
blue scarf | outdoor | 2 | True
blue tent | garden | 1 | True
white drill | outdoor | 21 | ... | {"count_in_category": {"type": "score", "criteria": ["0", "1", "2", "3", "4", "5", "6", "7", "8", "9 or more"], "instructions": "Count the outdoor items."}, "largest_quantity": {"type": "choice", "criteria": {"orange lamp": "orange lamp", "green lamp": "green lamp", "brown rope": "brown rope", "white drill": "white dri... | {"count_in_category": {"type": "score", "score": 9.0, "legend": {"0": "0", "1": "1", "2": "2", "3": "3", "4": "4", "5": "5", "6": "6", "7": "7", "8": "8", "9": "9 or more"}, "probabilities": {"0": 0.0, "1": 0.0, "2": 0.0, "3": 0.0, "4": 0.0, "5": 0.0, "6": 0.0, "7": 0.0, "8": 0.0, "9": 1.0}, "confidence": 1.0}, "larges... |
record_aggregation:train:17514 | record_aggregation | 0 | item,category,quantity,in_stock
red kettle,office,4,True
green chair,outdoor,16,True
yellow kettle,tools,5,True
yellow scarf,garden,15,True
orange tent,office,13,False
brown lamp,office,2,True | {"count_in_category": {"type": "score", "criteria": ["0", "1", "2", "3", "4", "5", "6", "7", "8", "9 or more"], "instructions": "Count the garden items."}, "largest_quantity": {"type": "choice", "criteria": {"red kettle": "red kettle", "brown lamp": "brown lamp", "orange tent": "orange tent", "yellow scarf": "yellow sc... | {"count_in_category": {"type": "score", "score": 1.0, "legend": {"0": "0", "1": "1", "2": "2", "3": "3", "4": "4", "5": "5", "6": "6", "7": "7", "8": "8", "9": "9 or more"}, "probabilities": {"0": 0.0, "1": 1.0, "2": 0.0, "3": 0.0, "4": 0.0, "5": 0.0, "6": 0.0, "7": 0.0, "8": 0.0, "9": 0.0}, "confidence": 1.0}, "larges... |
multi_view_adjudication:train:8152 | multi_view_adjudication | 3 | {"ticket": {"channel": "email"}, "billing": {"duplicate_charge": false, "invoice_mismatch": false, "refund_missing": false}, "account": {"active": false, "permission_mismatch": false, "tier": "free"}, "telemetry": {"integration_failures": 2, "error_rate_percent": 15}, "timeline": {"deadline_hours": 23, "executive_escal... | {"intent": {"type": "choice", "instructions": "Following the intent rule, what is the primary operational issue?", "criteria": {"billing": "Payments, invoices, refunds, or charges.", "access": "Authentication, permissions, or account access.", "technical": "Product failures, bugs, or integrations.", "other": "None of t... | {"intent": {"type": "choice", "choice": "technical", "probabilities": {"billing": 0.0, "access": 0.0, "technical": 1.0, "other": 0.0}, "confidence": 1.0}, "is_urgent": {"type": "noul", "noul": 1.0}, "workflow_impact": {"type": "score", "score": 2.0, "legend": {"0": "Level 0: no affected feature is down or slow.", "1": ... |
needle_retrieval:train:4190 | needle_retrieval | 4 | id | office
--- | ---
B-9257 | Hanoi
B-5700 | Dakar
B-0276 | Thies
B-7156 | Darwin
B-0157 | Perth
B-4955 | Dakar
B-9308 | Hanoi
B-5074 | Oslo
B-7785 | Accra
B-4786 | Oslo
B-4282 | Cuenca
B-7878 | Bergen
B-2391 | Tunis
B-3428 | Dakar
B-1838 | Oslo
B-8868 | Braga
B-9107 | Sfax
B-4865 | Thies
B-1157 | Sfax
B-6647 | Lima
B... | {"value_of_id": {"type": "choice", "criteria": {"Lagos": "Lagos", "Darwin": "Darwin", "Hue": "Hue", "Dakar": "Dakar", "Tunis": "Tunis", "Quito": "Quito", "Sfax": "Sfax", "Thies": "Thies", "Perth": "Perth"}, "instructions": "Which office is listed for badge B-9808?"}, "id_has_value": {"type": "noul", "instructions": "Is... | {"value_of_id": {"type": "choice", "choice": "Quito", "probabilities": {"Lagos": 0.0, "Darwin": 0.0, "Hue": 0.0, "Dakar": 0.0, "Tunis": 0.0, "Quito": 1.0, "Sfax": 0.0, "Thies": 0.0, "Perth": 0.0}, "confidence": 1.0}, "id_has_value": {"type": "noul", "noul": 0.0}, "id_listed": {"type": "noul", "noul": 0.0}} |
needle_retrieval:train:10109 | needle_retrieval | 3 | id=S-5120; destination=Cuenca
id=S-9004; destination=Osaka
id=S-7955; destination=Accra
id=S-9537; destination=Lima
id=S-8525; destination=Braga
id=S-8649; destination=Bergen
id=S-2652; destination=Lagos
id=S-8684; destination=Braga
id=S-4254; destination=Lagos
id=S-2058; destination=Lima
id=S-1274; destination=Braga
i... | {"value_of_id": {"type": "choice", "criteria": {"Cuenca": "Cuenca", "Sfax": "Sfax", "Accra": "Accra", "Dakar": "Dakar", "Braga": "Braga", "Osaka": "Osaka", "Lagos": "Lagos", "Lima": "Lima", "Porto": "Porto", "Oslo": "Oslo", "Hanoi": "Hanoi", "Perth": "Perth", "Cusco": "Cusco", "Quito": "Quito", "Bergen": "Bergen", "Hue... | {"value_of_id": {"type": "choice", "choice": "Lima", "probabilities": {"Cuenca": 0.0, "Sfax": 0.0, "Accra": 0.0, "Dakar": 0.0, "Braga": 0.0, "Osaka": 0.0, "Lagos": 0.0, "Lima": 1.0, "Porto": 0.0, "Oslo": 0.0, "Hanoi": 0.0, "Perth": 0.0, "Cusco": 0.0, "Quito": 0.0, "Bergen": 0.0, "Hue": 0.0, "Kobe": 0.0}, "confidence": ... |
partial_observation_calibration:train:14423 | partial_observation_calibration | 4 | {"prior_probability_incident": "1/5", "assumption": "Sensor observations are conditionally independent given whether the incident is real.", "sensors": [{"id": "S1", "observed": "positive", "p_positive_given_incident": "3/4", "p_positive_given_no_incident": "1/4"}, {"id": "S2", "observed": "negative", "p_positive_given... | {"incident_real": {"type": "noul", "instructions": "What is the posterior probability that the incident is real after conditioning on every sensor observation?"}} | {"incident_real": {"type": "noul", "noul": 0.272727}} |
state_perturbation:train:7637 | state_perturbation | 4 | {"before": [{"id": "R1", "authorized": true, "status": "resolved", "amount": 490, "owner": "alice", "note": "routine", "status_note": "blocked", "amount_quoted": 480, "previous_owner": "bob"}, {"id": "R2", "authorized": true, "status": "blocked", "amount": 100, "owner": "bob", "note": "routine", "status_note": "resolve... | {"material_change": {"type": "noul", "instructions": "Did any material field of record R8 change?"}, "changed_dimension": {"type": "choice", "instructions": "Which material dimension of record R8 changed? Choose none when only non-material fields changed.", "criteria": {"authorization": "authorization", "status": "stat... | {"material_change": {"type": "noul", "noul": 0.0}, "changed_dimension": {"type": "choice", "choice": "none", "probabilities": {"authorization": 0.0, "status": 0.0, "financial": 0.0, "ownership": 0.0, "none": 1.0}, "confidence": 1.0}, "risk_direction": {"type": "score", "score": 0.0, "legend": {"0": "Lower operational r... |
event_state_reconstruction:train:13793 | event_state_reconstruction | 3 | {"initial_state": {"owner": "bob", "open": true, "severity": "degraded"}, "events": [{"ts": 108, "kind": "reopen"}, {"ts": 138, "kind": "note", "text": "triage"}, {"ts": 126, "kind": "void", "voids_ts": 115}, {"ts": 144, "kind": "assign", "owner": "unassigned"}, {"ts": 112, "kind": "note", "text": "customer update"}, {... | {"current_owner": {"type": "choice", "instructions": "Who owns the incident after replaying the event log?", "criteria": {"alice": "alice", "bob": "bob", "carol": "carol", "unassigned": "unassigned"}}, "is_open": {"type": "noul", "instructions": "Is the incident open after replaying the event log?"}, "current_severity"... | {"current_owner": {"type": "choice", "choice": "bob", "probabilities": {"alice": 0.0, "bob": 1.0, "carol": 0.0, "unassigned": 0.0}, "confidence": 1.0}, "is_open": {"type": "noul", "noul": 0.0}, "current_severity": {"type": "score", "score": 1.0, "legend": {"0": "routine: Routine.", "1": "degraded: Degraded service requ... |
taxonomy_routing:train:17115 | taxonomy_routing | 1 | Routing guide (a ticket goes to the category whose conditions it all meets; exactly one does):
[{"category": "security/backlog", "rule": "region is south and tier is plus"}, {"category": "partners/review", "rule": "product is laptop"}, {"category": "security/priority", "rule": "amount above 200"}, {"category": "billing... | {"route": {"type": "choice", "criteria": {"security/backlog": "security/backlog", "partners/review": "partners/review", "security/priority": "security/priority", "billing/desk-b": "billing/desk-b", "software/specialists": "software/specialists", "shipping/review": "shipping/review", "security/desk-b": "security/desk-b"... | {"route": {"type": "choice", "choice": "security/priority", "probabilities": {"security/backlog": 0.0, "partners/review": 0.0, "security/priority": 1.0, "billing/desk-b": 0.0, "software/specialists": 0.0, "shipping/review": 0.0, "security/desk-b": 0.0, "compliance/escalations": 0.0, "onboarding/escalations": 0.0}, "con... |
partial_observation_calibration:train:8106 | partial_observation_calibration | 3 | {"prior_probability_incident": "1/5", "assumption": "Sensor observations are conditionally independent given whether the incident is real.", "sensors": [{"id": "S1", "observed": "negative", "p_positive_given_incident": "9/10", "p_positive_given_no_incident": "2/5"}, {"id": "S2", "observed": "negative", "p_positive_give... | {"incident_real": {"type": "noul", "instructions": "What is the posterior probability that the incident is real after conditioning on every sensor observation?"}} | {"incident_real": {"type": "noul", "noul": 0.085714}} |
policy_under_uncertainty:train:10103 | policy_under_uncertainty | 1 | {"request": {"subject": {"role": "unknown", "team": "beta", "clearance": 2}, "resource": {"team": "beta", "sensitivity": "restricted"}, "action": "read"}, "role_evidence": {"history": "Of the last 43 requests from this account, 29 by analysts, 14 by engineers. No other role has used it.", "reports": [{"source": "badge ... | {"access_allowed": {"type": "noul", "instructions": "Given the uncertainty about the requester's role, how likely is the request to be allowed?"}, "governing_policy": {"type": "choice", "instructions": "Which policy governs the request?", "criteria": {"P1": "P1", "P2": "P2", "P3": "P3", "none (default deny)": "none (de... | {"access_allowed": {"type": "noul", "noul": 0.050909}, "governing_policy": {"type": "choice", "choice": "none (default deny)", "probabilities": {"P1": 0.0, "P2": 0.0, "P3": 0.05090909090909091, "none (default deny)": 0.9490909090909091}, "confidence": 0.9490909090909091}, "requester_role": {"type": "choice", "choice": ... |
evidence_sufficiency:train:19313 | evidence_sufficiency | 3 | {"claim": "The deployment is sufficiently supported as the cause of the incident.", "rules": ["Support is sufficient only with at least two independent valid supporting origins and no valid contradictory origin. Duplicates from one origin count once.", "Evidence with valid=false is invalid.", "A retraction makes the ev... | {"claim_supported": {"type": "noul", "instructions": "Following the stated rules, is the claim sufficiently supported?"}, "has_conflict": {"type": "noul", "instructions": "Is there at least one valid supporting origin and at least one valid contradictory origin?"}, "strongest_support_origin": {"type": "choice", "instru... | {"claim_supported": {"type": "noul", "noul": 0.0}, "has_conflict": {"type": "noul", "noul": 1.0}, "strongest_support_origin": {"type": "choice", "choice": "S6", "probabilities": {"S1": 0.0, "S2": 0.0, "S3": 0.0, "S4": 0.0, "S5": 0.0, "S6": 1.0, "S7": 0.0, "none": 0.0}, "confidence": 1.0}} |
taxonomy_routing:train:11064 | taxonomy_routing | 1 | Routing guide (a ticket goes to the category whose conditions it all meets; exactly one does):
[{"category": "shipping/desk-a", "rule": "age days at most 60 and issue is login"}, {"category": "security/desk-a", "rule": "age days at most 60"}, {"category": "billing/escalations", "rule": "region is south and age days abo... | {"route": {"type": "choice", "criteria": {"shipping/desk-a": "shipping/desk-a", "security/desk-a": "security/desk-a", "billing/escalations": "billing/escalations", "partners/desk-b": "partners/desk-b", "software/backlog": "software/backlog", "software/specialists": "software/specialists", "billing/desk-b": "billing/des... | {"route": {"type": "choice", "choice": "security/desk-a", "probabilities": {"shipping/desk-a": 0.0, "security/desk-a": 1.0, "billing/escalations": 0.0, "partners/desk-b": 0.0, "software/backlog": 0.0, "software/specialists": 0.0, "billing/desk-b": 0.0, "partners/priority": 0.0, "shipping/priority": 0.0}, "confidence": ... |
policy_under_uncertainty:train:15368 | policy_under_uncertainty | 2 | {"request": {"subject": {"role": "unknown", "team": "gamma", "clearance": 1}, "resource": {"team": "alpha", "sensitivity": "internal"}, "action": "write"}, "role_evidence": {"history": "Of the last 52 requests from this account, 24 by analysts, 28 by engineers. No other role has used it.", "reports": [{"source": "direc... | {"access_allowed": {"type": "noul", "instructions": "Given the uncertainty about the requester's role, how likely is the request to be allowed?"}, "governing_policy": {"type": "choice", "instructions": "Which policy governs the request?", "criteria": {"P1": "P1", "P2": "P2", "P3": "P3", "none (default deny)": "none (de... | {"access_allowed": {"type": "noul", "noul": 0.0}, "governing_policy": {"type": "choice", "choice": "none (default deny)", "probabilities": {"P1": 0.0, "P2": 0.0, "P3": 0.0, "none (default deny)": 1.0}, "confidence": 1.0}, "requester_role": {"type": "choice", "choice": "engineer", "probabilities": {"analyst": 0.02325581... |
state_perturbation:train:9428 | state_perturbation | 4 | {"before": [{"id": "R1", "authorized": true, "status": "blocked", "amount": 480, "owner": "unassigned", "note": "routine", "status_note": "blocked", "amount_quoted": 480, "previous_owner": "unassigned"}, {"id": "R2", "authorized": false, "status": "blocked", "amount": 510, "owner": "unassigned", "note": "imported", "st... | {"material_change": {"type": "noul", "instructions": "Did any material field of record R2 change?"}, "changed_dimension": {"type": "choice", "instructions": "Which material dimension of record R2 changed? Choose none when only non-material fields changed.", "criteria": {"authorization": "authorization", "status": "stat... | {"material_change": {"type": "noul", "noul": 0.0}, "changed_dimension": {"type": "choice", "choice": "none", "probabilities": {"authorization": 0.0, "status": 0.0, "financial": 0.0, "ownership": 0.0, "none": 1.0}, "confidence": 1.0}, "risk_direction": {"type": "score", "score": 0.0, "legend": {"0": "Lower operational r... |
taxonomy_routing:train:3871 | taxonomy_routing | 3 | Routing guide (a ticket goes to the category whose conditions it all meets; exactly one does):
category=billing/specialists; rule=amount at most 500 and issue is login and channel is phone
category=security/specialists; rule=amount above 200 and tier is plus
category=software/intake; rule=amount at most 500 and age day... | {"route": {"type": "choice", "criteria": {"billing/specialists": "billing/specialists", "security/specialists": "security/specialists", "software/intake": "software/intake", "partners/backlog": "partners/backlog", "compliance/escalations": "compliance/escalations", "security/escalations": "security/escalations", "partn... | {"route": {"type": "choice", "choice": "partners/review", "probabilities": {"billing/specialists": 0.0, "security/specialists": 0.0, "software/intake": 0.0, "partners/backlog": 0.0, "compliance/escalations": 0.0, "security/escalations": 0.0, "partners/review": 1.0, "security/priority": 0.0, "compliance/review": 0.0, "c... |
multi_view_adjudication:train:15798 | multi_view_adjudication | 1 | {"ticket": {"channel": "api"}, "billing": {"duplicate_charge": false, "invoice_mismatch": false, "refund_missing": false}, "account": {"active": false, "auth_failures": 1, "permission_mismatch": false, "tier": "free"}, "telemetry": {"integration_failures": 1, "error_rate_percent": 0}, "timeline": {"deadline_hours": 48,... | {"intent": {"type": "choice", "instructions": "Following the intent rule, what is the primary operational issue?", "criteria": {"billing": "Payments, invoices, refunds, or charges.", "access": "Authentication, permissions, or account access.", "technical": "Product failures, bugs, or integrations.", "other": "None of t... | {"intent": {"type": "choice", "choice": "other", "probabilities": {"billing": 0.0, "access": 0.0, "technical": 0.0, "other": 1.0}, "confidence": 1.0}, "is_urgent": {"type": "noul", "noul": 0.0}, "workflow_impact": {"type": "score", "score": 1.0, "legend": {"0": "Level 0: no affected feature is down or slow.", "1": "Lev... |
record_aggregation:train:8189 | record_aggregation | 0 | [{"item": "black rope", "category": "garden", "quantity": 18, "in_stock": true}, {"item": "green clock", "category": "garden", "quantity": 14, "in_stock": false}, {"item": "red tent", "category": "outdoor", "quantity": 3, "in_stock": false}, {"item": "orange kettle", "category": "kitchen", "quantity": 20, "in_stock": f... | {"count_in_category": {"type": "score", "criteria": ["0", "1", "2", "3", "4", "5", "6", "7", "8", "9 or more"], "instructions": "How many items are in the kitchen category?"}, "largest_quantity": {"type": "choice", "criteria": {"green clock": "green clock", "red tent": "red tent", "orange kettle": "orange kettle", "bla... | {"count_in_category": {"type": "score", "score": 1.0, "legend": {"0": "0", "1": "1", "2": "2", "3": "3", "4": "4", "5": "5", "6": "6", "7": "7", "8": "8", "9": "9 or more"}, "probabilities": {"0": 0.0, "1": 1.0, "2": 0.0, "3": 0.0, "4": 0.0, "5": 0.0, "6": 0.0, "7": 0.0, "8": 0.0, "9": 0.0}, "confidence": 1.0}, "larges... |
policy_applicability:train:16137 | policy_applicability | 1 | {"request": {"subject": {"role": "manager", "team": "gamma", "clearance": 0}, "resource": {"team": "beta", "sensitivity": "restricted"}, "action": "read"}, "policies": [{"id": "P1", "priority": 3, "effect": "deny", "teams": ["alpha", "beta"]}, {"id": "P2", "priority": 2, "effect": "allow", "teams": ["alpha", "beta", "g... | {"access_allowed": {"type": "noul", "instructions": "Does the governing policy allow the requested action?"}, "governing_policy": {"type": "choice", "instructions": "Which policy governs the request, i.e. has the highest priority among the policies whose constraints all hold?", "criteria": {"P1": "P1", "P2": "P2", "P3"... | {"access_allowed": {"type": "noul", "noul": 1.0}, "governing_policy": {"type": "choice", "choice": "P2", "probabilities": {"P1": 0.0, "P2": 1.0, "P3": 0.0}, "confidence": 1.0}, "review_risk": {"type": "score", "score": 2.0, "legend": {"0": "Level 0: the resource is not restricted and the matching policies agree on effe... |
taxonomy_routing:train:6056 | taxonomy_routing | 2 | Routing guide (a ticket goes to the category whose conditions it all meets; exactly one does):
[{"category": "accounts/desk-a", "rule": "tier is business"}, {"category": "partners/backlog", "rule": "age days at most 14 and issue is delay and region is south"}, {"category": "returns/backlog", "rule": "issue is login"}, ... | {"route": {"type": "choice", "criteria": {"accounts/desk-a": "accounts/desk-a", "partners/backlog": "partners/backlog", "returns/backlog": "returns/backlog", "shipping/desk-a": "shipping/desk-a", "software/specialists": "software/specialists", "returns/desk-a": "returns/desk-a", "hardware/specialists": "hardware/specia... | {"route": {"type": "choice", "choice": "billing/escalations", "probabilities": {"accounts/desk-a": 0.0, "partners/backlog": 0.0, "returns/backlog": 0.0, "shipping/desk-a": 0.0, "software/specialists": 0.0, "returns/desk-a": 0.0, "hardware/specialists": 0.0, "accounts/priority": 0.0, "compliance/intake": 0.0, "onboardin... |
evidence_sufficiency:train:107 | evidence_sufficiency | 0 | {"claim": "The deployment is sufficiently supported as the cause of the incident.", "rules": ["Support is sufficient only with at least two independent valid supporting origins and no valid contradictory origin. Duplicates from one origin count once.", "Evidence with valid=false is invalid.", "Break reliability ties by... | {"claim_supported": {"type": "noul", "instructions": "Following the stated rules, is the claim sufficiently supported?"}, "has_conflict": {"type": "noul", "instructions": "Is there at least one valid supporting origin and at least one valid contradictory origin?"}, "strongest_support_origin": {"type": "choice", "instru... | {"claim_supported": {"type": "noul", "noul": 0.0}, "has_conflict": {"type": "noul", "noul": 0.0}, "strongest_support_origin": {"type": "choice", "choice": "S2", "probabilities": {"S1": 0.0, "S2": 1.0, "S3": 0.0, "none": 0.0}, "confidence": 1.0}} |
table_lookup:train:8682 | table_lookup | 3 | people:
name | team | city | start_year
--- | --- | --- | ---
Hana | security | Kobe | 2018
Uma | support | Perth | 2010
Jonas | data | Darwin | 2024
Ivy | mobile | Kobe | 2020
Omar | support | Darwin | 2011
Lucia | billing | Kobe | 2016
Carlos | support | Tunis | 2019
Viktor | billing | Darwin | 2023
Elif | search | D... | {"find_person": {"type": "choice", "criteria": {"Rosa": "Rosa", "Kenji": "Kenji", "Priya": "Priya", "Nora": "Nora", "Gil": "Gil", "Carlos": "Carlos", "Sven": "Sven", "Hana": "Hana", "Dmitri": "Dmitri", "Nils": "Nils", "Ada": "Ada", "Viktor": "Viktor", "Jonas": "Jonas", "Quinn": "Quinn", "Elif": "Elif", "Tariq": "Tariq"... | {"find_person": {"type": "choice", "choice": "Priya", "probabilities": {"Rosa": 0.0, "Kenji": 0.0, "Priya": 1.0, "Nora": 0.0, "Gil": 0.0, "Carlos": 0.0, "Sven": 0.0, "Hana": 0.0, "Dmitri": 0.0, "Nils": 0.0, "Ada": 0.0, "Viktor": 0.0, "Jonas": 0.0, "Quinn": 0.0, "Elif": 0.0, "Tariq": 0.0, "Dara": 0.0, "Goran": 0.0, "Oma... |
table_lookup:train:18955 | table_lookup | 1 | {"people": [{"name": "Kenji", "team": "search", "city": "Lagos", "start_year": 2010}, {"name": "Ada", "team": "data", "city": "Braga", "start_year": 2016}, {"name": "Sven", "team": "mobile", "city": "Porto", "start_year": 2014}, {"name": "Quinn", "team": "search", "city": "Lagos", "start_year": 2016}, {"name": "Uma", "... | {"find_person": {"type": "choice", "criteria": {"Uma": "Uma", "Zoe": "Zoe", "Tariq": "Tariq", "Wen": "Wen", "Sven": "Sven", "Kenji": "Kenji", "Quinn": "Quinn", "Ada": "Ada"}, "instructions": "Which person works in Lagos on the security team?"}, "manager_of": {"type": "choice", "criteria": {"Hugo": "Hugo", "Yusuf": "Yus... | {"find_person": {"type": "choice", "choice": "Zoe", "probabilities": {"Uma": 0.0, "Zoe": 1.0, "Tariq": 0.0, "Wen": 0.0, "Sven": 0.0, "Kenji": 0.0, "Quinn": 0.0, "Ada": 0.0}, "confidence": 1.0}, "manager_of": {"type": "choice", "choice": "Freya", "probabilities": {"Hugo": 0.0, "Yusuf": 0.0, "Malik": 0.0, "Lena": 0.0, "E... |
needle_retrieval:train:6321 | needle_retrieval | 0 | id | office
--- | ---
B-8737 | Quito
B-4560 | Darwin
B-6941 | Accra
B-3053 | Hanoi
B-6841 | Bergen
B-7341 | Thies
B-6341 | Darwin | {"value_of_id": {"type": "choice", "criteria": {"Thies": "Thies", "Hue": "Hue", "Cusco": "Cusco", "Oslo": "Oslo", "Braga": "Braga", "Osaka": "Osaka", "Kobe": "Kobe", "Accra": "Accra", "Porto": "Porto", "Perth": "Perth", "Tunis": "Tunis", "Cuenca": "Cuenca", "Lima": "Lima", "Dakar": "Dakar", "Darwin": "Darwin", "Bergen"... | {"value_of_id": {"type": "choice", "choice": "Darwin", "probabilities": {"Thies": 0.0, "Hue": 0.0, "Cusco": 0.0, "Oslo": 0.0, "Braga": 0.0, "Osaka": 0.0, "Kobe": 0.0, "Accra": 0.0, "Porto": 0.0, "Perth": 0.0, "Tunis": 0.0, "Cuenca": 0.0, "Lima": 0.0, "Dakar": 0.0, "Darwin": 1.0, "Bergen": 0.0, "Quito": 0.0, "Sfax": 0.0... |
table_lookup:train:8865 | table_lookup | 3 | {"people": [{"name": "Zoe", "team": "mobile", "city": "Hue", "start_year": 2019}, {"name": "Ivy", "team": "support", "city": "Tunis", "start_year": 2020}, {"name": "Hugo", "team": "billing", "city": "Lagos", "start_year": 2023}, {"name": "Wen", "team": "security", "city": "Hue", "start_year": 2018}, {"name": "Jae", "te... | {"find_person": {"type": "choice", "criteria": {"Farah": "Farah", "Bruno": "Bruno", "Ada": "Ada", "Lucia": "Lucia", "Ines": "Ines", "Zoe": "Zoe", "Dara": "Dara", "Jonas": "Jonas", "Omar": "Omar", "Wen": "Wen", "Ivy": "Ivy", "Malik": "Malik", "Chloe": "Chloe", "Jae": "Jae", "Freya": "Freya", "Hana": "Hana", "Tariq": "Ta... | {"find_person": {"type": "choice", "choice": "Elif", "probabilities": {"Farah": 0.0, "Bruno": 0.0, "Ada": 0.0, "Lucia": 0.0, "Ines": 0.0, "Zoe": 0.0, "Dara": 0.0, "Jonas": 0.0, "Omar": 0.0, "Wen": 0.0, "Ivy": 0.0, "Malik": 0.0, "Chloe": 0.0, "Jae": 0.0, "Freya": 0.0, "Hana": 0.0, "Tariq": 0.0, "Elif": 1.0, "Yusuf": 0.0... |
partial_observation_calibration:train:2185 | partial_observation_calibration | 2 | {"prior_probability_incident": "1/2", "assumption": "Sensor observations are conditionally independent given whether the incident is real.", "sensors": [{"id": "S1", "observed": "positive", "p_positive_given_incident": "3/4", "p_positive_given_no_incident": "1/4"}, {"id": "S2", "observed": "negative", "p_positive_given... | {"incident_real": {"type": "noul", "instructions": "What is the posterior probability that the incident is real after conditioning on every sensor observation?"}} | {"incident_real": {"type": "noul", "noul": 0.25}} |
arithmetic:train:15264 | arithmetic | 0 | Order lines (prices in $):
item,unit_price,quantity
rope,13,2
scarf,9,3
clock,12,1
Rule: Orders of $95 or more get $10 off; smaller orders pay $8 shipping. | {"within_budget": {"type": "noul", "instructions": "Does the order fit within a budget of $83?"}, "random_line_bulk": {"type": "noul", "instructions": "If one order line is picked uniformly at random, what is the probability that its quantity is at least 3?"}, "lines_above": {"type": "score", "criteria": ["0", "1", "2"... | {"within_budget": {"type": "noul", "noul": 1.0}, "random_line_bulk": {"type": "noul", "noul": 0.333333}, "lines_above": {"type": "score", "score": 0.0, "legend": {"0": "0", "1": "1", "2": "2", "3": "3", "4": "4", "5": "5", "6": "6", "7": "7", "8": "8", "9": "9"}, "probabilities": {"0": 1.0, "1": 0.0, "2": 0.0, "3": 0.0... |
policy_under_uncertainty:train:489 | policy_under_uncertainty | 3 | {"request": {"subject": {"role": "unknown", "team": "alpha", "clearance": 0}, "resource": {"team": "gamma", "sensitivity": "restricted"}, "action": "write"}, "role_evidence": {"history": "Of the last 56 requests from this account, 25 by analysts, 27 by engineers, 4 by managers. No other role has used it.", "reports": [... | {"access_allowed": {"type": "noul", "instructions": "Given the uncertainty about the requester's role, how likely is the request to be allowed?"}, "governing_policy": {"type": "choice", "instructions": "Which policy governs the request?", "criteria": {"P1": "P1", "P2": "P2", "P3": "P3", "P4": "P4", "P5": "P5", "P6": "P... | {"access_allowed": {"type": "noul", "noul": 0.0}, "governing_policy": {"type": "choice", "choice": "none (default deny)", "probabilities": {"P1": 0.0, "P2": 0.0, "P3": 0.0, "P4": 0.0, "P5": 0.0, "P6": 0.0, "P7": 0.0, "none (default deny)": 1.0}, "confidence": 1.0}, "requester_role": {"type": "choice", "choice": "analys... |
arithmetic:train:18349 | arithmetic | 3 | Start: 07:45
task,duration
design sync,75 min
standup,50 min
planning,45 min
code review,25 min
email triage,65 min
Tasks run back to back in this order, with a 15-minute break between tasks. | {"longest_task": {"type": "choice", "criteria": {"design sync": "design sync", "standup": "standup", "planning": "planning", "code review": "code review", "email triage": "email triage"}, "instructions": "Which task takes the longest?"}, "finish_time": {"type": "choice", "criteria": {"13:05": "13:05", "13:10": "13:10",... | {"longest_task": {"type": "choice", "choice": "design sync", "probabilities": {"design sync": 1.0, "standup": 0.0, "planning": 0.0, "code review": 0.0, "email triage": 0.0}, "confidence": 1.0}, "finish_time": {"type": "choice", "choice": "13:05", "probabilities": {"13:05": 1.0, "13:10": 0.0, "14:05": 0.0, "13:20": 0.0,... |
table_lookup:train:19598 | table_lookup | 0 | {"people": [{"name": "Ines", "team": "support", "city": "Hanoi", "start_year": 2010}, {"name": "Gil", "team": "billing", "city": "Hue", "start_year": 2019}, {"name": "Kofi", "team": "billing", "city": "Thies", "start_year": 2012}, {"name": "Kenji", "team": "billing", "city": "Hanoi", "start_year": 2009}, {"name": "Elif... | {"find_person": {"type": "choice", "criteria": {"Nora": "Nora", "Ines": "Ines", "Kenji": "Kenji", "Kofi": "Kofi", "Gil": "Gil", "Tariq": "Tariq", "Elif": "Elif"}, "instructions": "Which person works in Thies on the search team?"}, "manager_of": {"type": "choice", "criteria": {"Hana": "Hana", "Rosa": "Rosa", "Goran": "G... | {"find_person": {"type": "choice", "choice": "Elif", "probabilities": {"Nora": 0.0, "Ines": 0.0, "Kenji": 0.0, "Kofi": 0.0, "Gil": 0.0, "Tariq": 0.0, "Elif": 1.0}, "confidence": 1.0}, "manager_of": {"type": "choice", "choice": "Hana", "probabilities": {"Hana": 1.0, "Rosa": 0.0, "Goran": 0.0, "Hugo": 0.0, "Ivy": 0.0, "O... |
multi_view_adjudication:train:6230 | multi_view_adjudication | 1 | {"ticket": {"channel": "api"}, "billing": {"duplicate_charge": false, "invoice_mismatch": false, "refund_missing": false}, "account": {"active": false, "auth_failures": 1, "permission_mismatch": false, "tier": "enterprise"}, "telemetry": {"integration_failures": 1, "error_rate_percent": 35}, "timeline": {"deadline_hour... | {"intent": {"type": "choice", "instructions": "Following the intent rule, what is the primary operational issue?", "criteria": {"billing": "Payments, invoices, refunds, or charges.", "access": "Authentication, permissions, or account access.", "technical": "Product failures, bugs, or integrations.", "other": "None of t... | {"intent": {"type": "choice", "choice": "technical", "probabilities": {"billing": 0.0, "access": 0.0, "technical": 1.0, "other": 0.0}, "confidence": 1.0}, "is_urgent": {"type": "noul", "noul": 0.0}, "workflow_impact": {"type": "score", "score": 0.0, "legend": {"0": "Level 0: no affected feature is down or slow.", "1": ... |
partial_observation_calibration:train:7873 | partial_observation_calibration | 3 | {"prior_probability_incident": "1/3", "assumption": "Sensor observations are conditionally independent given whether the incident is real.", "sensors": [{"id": "S1", "observed": "negative", "p_positive_given_incident": "4/5", "p_positive_given_no_incident": "1/5"}, {"id": "S2", "observed": "positive", "p_positive_given... | {"incident_real": {"type": "noul", "instructions": "What is the posterior probability that the incident is real after conditioning on every sensor observation?"}} | {"incident_real": {"type": "noul", "noul": 0.692308}} |
multi_view_adjudication:train:18320 | multi_view_adjudication | 4 | {"ticket": {"channel": "api"}, "billing": {"duplicate_charge": true, "invoice_mismatch": false, "refund_missing": false}, "account": {"active": true, "permission_mismatch": false, "tier": "free"}, "telemetry": {"integration_failures": 2, "error_rate_percent": 15}, "timeline": {"now_hour": 103, "due_hour": null, "execut... | {"intent": {"type": "choice", "instructions": "Following the intent rule, what is the primary operational issue?", "criteria": {"billing": "Payments, invoices, refunds, or charges.", "access": "Authentication, permissions, or account access.", "technical": "Product failures, bugs, or integrations.", "other": "None of t... | {"intent": {"type": "choice", "choice": "billing", "probabilities": {"billing": 1.0, "access": 0.0, "technical": 0.0, "other": 0.0}, "confidence": 1.0}, "is_urgent": {"type": "noul", "noul": 1.0}, "workflow_impact": {"type": "score", "score": 0.0, "legend": {"0": "Level 0: no affected feature is down or slow.", "1": "L... |
entity_belief_tracking:train:4064 | entity_belief_tracking | 2 | {"locations": ["archive", "basement", "cabinet", "kitchen", "locker", "vault", "office", "studio", "garage", "attic"], "initial_locations": {"item_1": "studio", "item_2": "garage"}, "events": [{"step": 1, "object": "item_1", "destination": "kitchen", "witnesses": ["alice", "bob"]}, {"step": 2, "object": "item_1", "dest... | {"world_location": {"type": "choice", "instructions": "Where is item_2 actually located after all events?", "criteria": {"archive": "archive", "basement": "basement", "cabinet": "cabinet", "kitchen": "kitchen", "locker": "locker", "vault": "vault", "office": "office", "studio": "studio", "garage": "garage", "attic": "a... | {"world_location": {"type": "choice", "choice": "vault", "probabilities": {"archive": 0.0, "basement": 0.0, "cabinet": 0.0, "kitchen": 0.0, "locker": 0.0, "vault": 1.0, "office": 0.0, "studio": 0.0, "garage": 0.0, "attic": 0.0}, "confidence": 1.0}, "agent_belief_location": {"type": "choice", "choice": "vault", "probabi... |
taxonomy_routing:train:12819 | taxonomy_routing | 1 | Routing guide (a ticket goes to the category whose conditions it all meets; exactly one does):
category | rule
--- | ---
compliance/priority | amount above 500 and channel is email
returns/escalations | age days above 30 and amount at most 200
returns/desk-b | product is printer and amount at most 200
software/desk-a |... | {"route": {"type": "choice", "criteria": {"compliance/priority": "compliance/priority", "returns/escalations": "returns/escalations", "returns/desk-b": "returns/desk-b", "software/desk-a": "software/desk-a", "onboarding/escalations": "onboarding/escalations", "compliance/desk-a": "compliance/desk-a", "hardware/intake":... | {"route": {"type": "choice", "choice": "software/intake", "probabilities": {"compliance/priority": 0.0, "returns/escalations": 0.0, "returns/desk-b": 0.0, "software/desk-a": 0.0, "onboarding/escalations": 0.0, "compliance/desk-a": 0.0, "hardware/intake": 0.0, "software/intake": 1.0, "returns/backlog": 0.0, "compliance/... |
partial_observation_calibration:train:17348 | partial_observation_calibration | 3 | {"prior_probability_incident": "1/5", "assumption": "Sensor observations are conditionally independent given whether the incident is real.", "sensors": [{"id": "S1", "observed": "positive", "p_positive_given_incident": "3/4", "p_positive_given_no_incident": "1/4"}, {"id": "S2", "observed": "positive", "p_positive_given... | {"incident_real": {"type": "noul", "instructions": "What is the posterior probability that the incident is real after conditioning on every sensor observation?"}} | {"incident_real": {"type": "noul", "noul": 0.486974}} |
record_aggregation:train:8120 | record_aggregation | 1 | [{"item": "blue lamp", "category": "tools", "quantity": 17, "in_stock": true}, {"item": "green scarf", "category": "office", "quantity": 15, "in_stock": true}, {"item": "gray scarf", "category": "office", "quantity": 9, "in_stock": true}, {"item": "orange clock", "category": "outdoor", "quantity": 6, "in_stock": true},... | {"count_in_category": {"type": "score", "criteria": ["0", "1", "2", "3", "4", "5", "6", "7", "8", "9 or more"], "instructions": "Count the kitchen items."}, "largest_quantity": {"type": "choice", "criteria": {"orange clock": "orange clock", "blue lamp": "blue lamp", "green scarf": "green scarf", "gray scarf": "gray sca... | {"count_in_category": {"type": "score", "score": 2.0, "legend": {"0": "0", "1": "1", "2": "2", "3": "3", "4": "4", "5": "5", "6": "6", "7": "7", "8": "8", "9": "9 or more"}, "probabilities": {"0": 0.0, "1": 0.0, "2": 1.0, "3": 0.0, "4": 0.0, "5": 0.0, "6": 0.0, "7": 0.0, "8": 0.0, "9": 0.0}, "confidence": 1.0}, "larges... |
policy_under_uncertainty:train:12571 | policy_under_uncertainty | 4 | {"request": {"subject": {"role": "unknown", "team": "gamma", "clearance": 2}, "resource": {"team": "alpha", "sensitivity": "internal"}, "action": "approve"}, "role_evidence": {"history": "Of the last 54 requests from this account, 18 by analysts, 30 by engineers, 6 by managers. No other role has used it.", "reports": [... | {"access_allowed": {"type": "noul", "instructions": "Given the uncertainty about the requester's role, how likely is the request to be allowed?"}, "governing_policy": {"type": "choice", "instructions": "Which policy governs the request?", "criteria": {"P1": "P1", "P2": "P2", "P3": "P3", "P4": "P4", "P5": "P5", "P6": "P... | {"access_allowed": {"type": "noul", "noul": 1.0}, "governing_policy": {"type": "choice", "choice": "P6", "probabilities": {"P1": 0.0, "P2": 0.0, "P3": 0.0, "P4": 0.0, "P5": 0.0, "P6": 1.0, "P7": 0.0, "none (default deny)": 0.0}, "confidence": 1.0}, "requester_role": {"type": "choice", "choice": "engineer", "probabiliti... |
state_perturbation:train:942 | state_perturbation | 2 | {"before": [{"id": "R1", "authorized": true, "status": "resolved", "amount": 550, "owner": "bob", "note": "routine", "status_note": "resolved", "amount_quoted": 530, "previous_owner": "bob"}, {"id": "R2", "authorized": true, "status": "resolved", "amount": 460, "owner": "unassigned", "note": "reviewed", "status_note": ... | {"material_change": {"type": "noul", "instructions": "Did any material field of record R4 change?"}, "changed_dimension": {"type": "choice", "instructions": "Which material dimension of record R4 changed? Choose none when only non-material fields changed.", "criteria": {"authorization": "authorization", "status": "stat... | {"material_change": {"type": "noul", "noul": 0.0}, "changed_dimension": {"type": "choice", "choice": "none", "probabilities": {"authorization": 0.0, "status": 0.0, "financial": 0.0, "ownership": 0.0, "none": 1.0}, "confidence": 1.0}, "risk_direction": {"type": "score", "score": 2.0, "legend": {"0": "Lower operational r... |
partial_observation_calibration:train:14949 | partial_observation_calibration | 4 | {"prior_probability_incident": "1/2", "assumption": "Sensor observations are conditionally independent given whether the incident is real.", "sensors": [{"id": "S1", "observed": "negative", "p_positive_given_incident": "2/3", "p_positive_given_no_incident": "1/3"}, {"id": "S2", "observed": "negative", "p_positive_given... | {"incident_real": {"type": "noul", "instructions": "What is the posterior probability that the incident is real after conditioning on every sensor observation?"}} | {"incident_real": {"type": "noul", "noul": 0.085714}} |
arithmetic:train:17492 | arithmetic | 3 | Start: 09:40
task=report writing; duration=45 min
task=inventory check; duration=20 min
task=interviews; duration=50 min
task=email triage; duration=20 min
task=design sync; duration=80 min
Tasks run back to back in this order, with a 15-minute break between tasks. | {"longest_task": {"type": "choice", "criteria": {"report writing": "report writing", "inventory check": "inventory check", "interviews": "interviews", "email triage": "email triage", "design sync": "design sync"}, "instructions": "Which task is the longest?"}, "done_by_deadline": {"type": "noul", "instructions": "Is ev... | {"longest_task": {"type": "choice", "choice": "design sync", "probabilities": {"report writing": 0.0, "inventory check": 0.0, "interviews": 0.0, "email triage": 0.0, "design sync": 1.0}, "confidence": 1.0}, "done_by_deadline": {"type": "noul", "noul": 1.0}, "starts_before_noon": {"type": "score", "score": 3.0, "legend"... |
policy_applicability:train:2265 | policy_applicability | 4 | {"request": {"subject": {"role": "manager", "team": "gamma", "clearance": 2}, "resource": {"team": "beta", "sensitivity": "internal"}, "action": "write"}, "policies": [{"id": "P10", "priority": 4, "effect": "deny", "roles": ["analyst", "engineer", "manager"], "teams": ["gamma"], "actions": ["write"], "max_sensitivity":... | {"access_allowed": {"type": "noul", "instructions": "Does the governing policy allow the requested action?"}, "governing_policy": {"type": "choice", "instructions": "Which policy governs the request, i.e. has the highest priority among the policies whose constraints all hold?", "criteria": {"P1": "P1", "P2": "P2", "P3"... | {"access_allowed": {"type": "noul", "noul": 0.0}, "governing_policy": {"type": "choice", "choice": "P13", "probabilities": {"P1": 0.0, "P2": 0.0, "P3": 0.0, "P4": 0.0, "P5": 0.0, "P6": 0.0, "P7": 0.0, "P8": 0.0, "P9": 0.0, "P10": 0.0, "P11": 0.0, "P12": 0.0, "P13": 1.0}, "confidence": 1.0}, "review_risk": {"type": "sco... |
evidence_sufficiency:train:5241 | evidence_sufficiency | 2 | {"claim": "The deployment is sufficiently supported as the cause of the incident.", "rules": ["Support is sufficient only with at least two independent valid supporting origins and no valid contradictory origin. Duplicates from one origin count once.", "Evidence with valid=false is invalid.", "A retraction makes the ev... | {"claim_supported": {"type": "noul", "instructions": "Following the stated rules, is the claim sufficiently supported?"}, "has_conflict": {"type": "noul", "instructions": "Is there at least one valid supporting origin and at least one valid contradictory origin?"}, "strongest_support_origin": {"type": "choice", "instru... | {"claim_supported": {"type": "noul", "noul": 0.0}, "has_conflict": {"type": "noul", "noul": 1.0}, "strongest_support_origin": {"type": "choice", "choice": "S3", "probabilities": {"S1": 0.0, "S2": 0.0, "S3": 1.0, "S4": 0.0, "S5": 0.0, "none": 0.0}, "confidence": 1.0}} |
policy_applicability:train:1447 | policy_applicability | 3 | {"request": {"subject": {"role": "analyst", "team": "beta", "clearance": 1}, "resource": {"team": "beta", "sensitivity": "internal"}, "action": "write"}, "policies": [{"id": "P2", "priority": 8, "effect": "allow", "roles": ["engineer", "manager"], "actions": ["read", "write", "approve"], "max_sensitivity": "restricted"... | {"access_allowed": {"type": "noul", "instructions": "Does the governing policy allow the requested action?"}, "governing_policy": {"type": "choice", "instructions": "Which policy governs the request, i.e. has the highest priority among the policies whose constraints all hold?", "criteria": {"P1": "P1", "P2": "P2", "P3"... | {"access_allowed": {"type": "noul", "noul": 0.0}, "governing_policy": {"type": "choice", "choice": "P9", "probabilities": {"P1": 0.0, "P2": 0.0, "P3": 0.0, "P4": 0.0, "P5": 0.0, "P6": 0.0, "P7": 0.0, "P8": 0.0, "P9": 1.0}, "confidence": 1.0}, "review_risk": {"type": "score", "score": 0.0, "legend": {"0": "Level 0: the ... |
policy_applicability:train:11308 | policy_applicability | 2 | {"request": {"subject": {"role": "analyst", "team": "gamma", "clearance": 1}, "resource": {"team": "beta", "sensitivity": "public"}, "action": "write"}, "policies": [{"id": "P3", "priority": 2, "effect": "allow", "teams": ["alpha", "beta"], "actions": ["read", "write"], "max_sensitivity": "restricted"}, {"id": "P2", "p... | {"access_allowed": {"type": "noul", "instructions": "Does the governing policy allow the requested action?"}, "governing_policy": {"type": "choice", "instructions": "Which policy governs the request, i.e. has the highest priority among the policies whose constraints all hold?", "criteria": {"P1": "P1", "P2": "P2", "P3"... | {"access_allowed": {"type": "noul", "noul": 0.0}, "governing_policy": {"type": "choice", "choice": "P4", "probabilities": {"P1": 0.0, "P2": 0.0, "P3": 0.0, "P4": 1.0}, "confidence": 1.0}, "review_risk": {"type": "score", "score": 0.0, "legend": {"0": "Level 0: the resource is not restricted and the matching policies ag... |
arithmetic:train:15798 | arithmetic | 0 | Start: 07:45
task=report writing; duration=10 min
task=planning; duration=40 min
task=inventory check; duration=30 min
Tasks run back to back in this order. | {"random_is_long": {"type": "noul", "instructions": "If one task is picked uniformly at random, what is the probability that it lasts more than 45 minutes?"}, "done_by_deadline": {"type": "noul", "instructions": "Does the last task end at or before 08:55?"}, "finish_time": {"type": "choice", "criteria": {"09:15": "09:1... | {"random_is_long": {"type": "noul", "noul": 0.0}, "done_by_deadline": {"type": "noul", "noul": 0.0}, "finish_time": {"type": "choice", "choice": "09:05", "probabilities": {"09:15": 0.0, "10:05": 0.0, "08:35": 0.0, "09:05": 1.0, "09:20": 0.0}, "confidence": 1.0}, "starts_before_noon": {"type": "score", "score": 3.0, "le... |
taxonomy_routing:train:13787 | taxonomy_routing | 0 | Routing guide (a ticket goes to the category whose conditions it all meets; exactly one does):
category=accounts/desk-b; rule=amount above 50
category=onboarding/specialists; rule=amount at most 50
category=partners/escalations; rule=product is laptop
category=shipping/intake; rule=channel is email
Ticket: product: ta... | {"route": {"type": "choice", "criteria": {"accounts/desk-b": "accounts/desk-b", "onboarding/specialists": "onboarding/specialists", "partners/escalations": "partners/escalations", "shipping/intake": "shipping/intake"}, "instructions": "Which category's conditions does the ticket meet?"}, "belongs_to": {"type": "noul", ... | {"route": {"type": "choice", "choice": "accounts/desk-b", "probabilities": {"accounts/desk-b": 1.0, "onboarding/specialists": 0.0, "partners/escalations": 0.0, "shipping/intake": 0.0}, "confidence": 1.0}, "belongs_to": {"type": "noul", "noul": 0.0}, "conditions_met": {"type": "score", "score": 0.0, "legend": {"0": "0",... |
partial_observation_calibration:train:17767 | partial_observation_calibration | 3 | {"prior_probability_incident": "1/2", "assumption": "Sensor observations are conditionally independent given whether the incident is real.", "sensors": [{"id": "S1", "observed": "negative", "p_positive_given_incident": "3/4", "p_positive_given_no_incident": "1/4"}, {"id": "S2", "observed": "negative", "p_positive_given... | {"incident_real": {"type": "noul", "instructions": "What is the posterior probability that the incident is real after conditioning on every sensor observation?"}} | {"incident_real": {"type": "noul", "noul": 0.006897}} |
needle_retrieval:train:1659 | needle_retrieval | 2 | id | office
--- | ---
B-7933 | Accra
B-0965 | Accra
B-3480 | Oslo
B-7793 | Hanoi
B-0765 | Hue
B-7930 | Tunis
B-7379 | Tunis
B-2973 | Tunis
B-9702 | Bergen
B-2662 | Accra
B-6743 | Lima
B-7973 | Dakar
B-3853 | Oslo
B-7233 | Quito
B-7407 | Tunis
B-7073 | Porto
B-0563 | Porto
B-1735 | Perth
B-9174 | Quito
B-3977 | Lagos
B-... | {"value_of_id": {"type": "choice", "criteria": {"Porto": "Porto", "Tunis": "Tunis", "Hanoi": "Hanoi", "Accra": "Accra", "Dakar": "Dakar", "Lima": "Lima", "Lagos": "Lagos", "Quito": "Quito"}, "instructions": "Look up badge B-5223. Which office does it have?"}, "id_has_value": {"type": "noul", "instructions": "Is badge B... | {"value_of_id": {"type": "choice", "choice": "Dakar", "probabilities": {"Porto": 0.0, "Tunis": 0.0, "Hanoi": 0.0, "Accra": 0.0, "Dakar": 1.0, "Lima": 0.0, "Lagos": 0.0, "Quito": 0.0}, "confidence": 1.0}, "id_has_value": {"type": "noul", "noul": 0.0}, "id_listed": {"type": "noul", "noul": 1.0}} |
policy_under_uncertainty:train:15610 | policy_under_uncertainty | 4 | {"request": {"subject": {"role": "unknown", "team": "beta", "clearance": 2}, "resource": {"team": "alpha", "sensitivity": "public"}, "action": "approve"}, "role_evidence": {"history": "Of the last 39 requests from this account, 27 by analysts, 3 by engineers, 9 by managers. No other role has used it.", "reports": [{"so... | {"access_allowed": {"type": "noul", "instructions": "Given the uncertainty about the requester's role, how likely is the request to be allowed?"}, "governing_policy": {"type": "choice", "instructions": "Which policy governs the request?", "criteria": {"P1": "P1", "P2": "P2", "P3": "P3", "P4": "P4", "P5": "P5", "P6": "P... | {"access_allowed": {"type": "noul", "noul": 0.600739}, "governing_policy": {"type": "choice", "choice": "P4", "probabilities": {"P1": 0.0, "P2": 0.0, "P3": 0.0, "P4": 0.600739371534196, "P5": 0.0, "P6": 0.0, "P7": 0.0, "P8": 0.0, "none (default deny)": 0.39926062846580407}, "confidence": 0.600739371534196}, "requester_... |
event_state_reconstruction:train:9322 | event_state_reconstruction | 3 | {"initial_state": {"owner": "bob", "open": true, "severity": "degraded"}, "events": [{"ts": 143, "kind": "note", "text": "ack"}, {"ts": 110, "kind": "assign", "owner": "carol"}, {"ts": 154, "kind": "reopen"}, {"ts": 146, "kind": "void", "voids_ts": 140}, {"ts": 140, "kind": "reopen"}, {"ts": 123, "kind": "severity", "s... | {"current_owner": {"type": "choice", "instructions": "Who owns the incident after replaying the event log?", "criteria": {"alice": "alice", "bob": "bob", "carol": "carol", "unassigned": "unassigned"}}, "is_open": {"type": "noul", "instructions": "Is the incident open after replaying the event log?"}, "current_severity"... | {"current_owner": {"type": "choice", "choice": "carol", "probabilities": {"alice": 0.0, "bob": 0.0, "carol": 1.0, "unassigned": 0.0}, "confidence": 1.0}, "is_open": {"type": "noul", "noul": 1.0}, "current_severity": {"type": "score", "score": 0.0, "legend": {"0": "routine: Routine.", "1": "degraded: Degraded service re... |
policy_under_uncertainty:train:12681 | policy_under_uncertainty | 0 | {"request": {"subject": {"role": "unknown", "team": "gamma", "clearance": 1}, "resource": {"team": "gamma", "sensitivity": "restricted"}, "action": "approve"}, "role_evidence": {"history": "Of the last 19 requests from this account, 6 by analysts, 13 by managers. No other role has used it.", "reports": [{"source": "man... | {"access_allowed": {"type": "noul", "instructions": "Given the uncertainty about the requester's role, how likely is the request to be allowed?"}, "governing_policy": {"type": "choice", "instructions": "Which policy governs the request?", "criteria": {"P1": "P1", "P2": "P2", "none (default deny)": "none (default deny)"... | {"access_allowed": {"type": "noul", "noul": 0.866667}, "governing_policy": {"type": "choice", "choice": "P1", "probabilities": {"P1": 0.8666666666666667, "P2": 0.0, "none (default deny)": 0.13333333333333333}, "confidence": 0.8666666666666667}, "requester_role": {"type": "choice", "choice": "manager", "probabilities": ... |
multi_view_adjudication:train:16836 | multi_view_adjudication | 1 | {"ticket": {"channel": "email"}, "billing": {"duplicate_charge": false, "invoice_mismatch": false, "refund_missing": false}, "account": {"active": true, "auth_failures": 1, "permission_mismatch": true, "tier": "team"}, "telemetry": {"integration_failures": 1, "error_rate_percent": 10}, "timeline": {"deadline_hours": 48... | {"intent": {"type": "choice", "instructions": "Following the intent rule, what is the primary operational issue?", "criteria": {"billing": "Payments, invoices, refunds, or charges.", "access": "Authentication, permissions, or account access.", "technical": "Product failures, bugs, or integrations.", "other": "None of t... | {"intent": {"type": "choice", "choice": "access", "probabilities": {"billing": 0.0, "access": 1.0, "technical": 0.0, "other": 0.0}, "confidence": 1.0}, "is_urgent": {"type": "noul", "noul": 0.0}, "workflow_impact": {"type": "score", "score": 2.0, "legend": {"0": "Level 0: no affected feature is down or slow.", "1": "Le... |
table_lookup:train:12478 | table_lookup | 2 | people:
name,team,city,start_year
Ada,billing,Hanoi,2021
Jonas,data,Hanoi,2010
Dmitri,data,Hanoi,2014
Nora,billing,Osaka,2020
Wen,mobile,Osaka,2022
Hugo,data,Hanoi,2019
Jae,security,Lima,2012
Ximena,data,Osaka,2022
Ivy,billing,Osaka,2016
Nils,support,Lima,2008
Emeka,billing,Porto,2021
Priya,support,Porto,2008
Farah,dat... | {"find_person": {"type": "choice", "criteria": {"Emeka": "Emeka", "Farah": "Farah", "Nora": "Nora", "Jae": "Jae", "Gil": "Gil", "Priya": "Priya", "Ximena": "Ximena", "Wen": "Wen", "Amir": "Amir", "Viktor": "Viktor", "Hugo": "Hugo", "Ivy": "Ivy", "Uma": "Uma", "Jonas": "Jonas", "Ada": "Ada", "Nils": "Nils", "Dmitri": "D... | {"find_person": {"type": "choice", "choice": "Ada", "probabilities": {"Emeka": 0.0, "Farah": 0.0, "Nora": 0.0, "Jae": 0.0, "Gil": 0.0, "Priya": 0.0, "Ximena": 0.0, "Wen": 0.0, "Amir": 0.0, "Viktor": 0.0, "Hugo": 0.0, "Ivy": 0.0, "Uma": 0.0, "Jonas": 0.0, "Ada": 1.0, "Nils": 0.0, "Dmitri": 0.0}, "confidence": 1.0}, "man... |
table_lookup:train:11826 | table_lookup | 1 | people:
name | team | city | start_year
--- | --- | --- | ---
Malik | mobile | Kobe | 2024
Mei | data | Kobe | 2012
Dmitri | mobile | Kobe | 2023
Rosa | security | Lima | 2021
Jonas | mobile | Lima | 2009
Viktor | mobile | Kobe | 2021
Jae | search | Lima | 2018
Dara | data | Porto | 2018
teams:
team | manager
--- | --... | {"find_person": {"type": "choice", "criteria": {"Rosa": "Rosa", "Jae": "Jae", "Viktor": "Viktor", "Dmitri": "Dmitri", "Malik": "Malik", "Jonas": "Jonas", "Dara": "Dara", "Mei": "Mei"}, "instructions": "Who is on the data team and based in Kobe?"}, "manager_of": {"type": "choice", "criteria": {"Farah": "Farah", "Bea": "... | {"find_person": {"type": "choice", "choice": "Mei", "probabilities": {"Rosa": 0.0, "Jae": 0.0, "Viktor": 0.0, "Dmitri": 0.0, "Malik": 0.0, "Jonas": 0.0, "Dara": 0.0, "Mei": 1.0}, "confidence": 1.0}, "manager_of": {"type": "choice", "choice": "Priya", "probabilities": {"Farah": 0.0, "Bea": 0.0, "Hana": 0.0, "Lena": 0.0,... |
table_lookup:train:1620 | table_lookup | 0 | people:
name,team,city,start_year
Jonas,billing,Accra,2012
Dmitri,security,Accra,2024
Bea,data,Quito,2012
Yusuf,billing,Hue,2022
Ada,support,Quito,2024
teams:
team,manager
billing,Kofi
search,Goran
mobile,Viktor
security,Quinn
data,Ivy
support,Priya | {"find_person": {"type": "choice", "criteria": {"Jonas": "Jonas", "Dmitri": "Dmitri", "Yusuf": "Yusuf", "Bea": "Bea", "Ada": "Ada"}, "instructions": "Which person works in Hue on the billing team?"}, "manager_of": {"type": "choice", "criteria": {"Kofi": "Kofi", "Ivy": "Ivy", "Priya": "Priya", "Goran": "Goran", "Viktor"... | {"find_person": {"type": "choice", "choice": "Yusuf", "probabilities": {"Jonas": 0.0, "Dmitri": 0.0, "Yusuf": 1.0, "Bea": 0.0, "Ada": 0.0}, "confidence": 1.0}, "manager_of": {"type": "choice", "choice": "Ivy", "probabilities": {"Kofi": 0.0, "Ivy": 1.0, "Priya": 0.0, "Goran": 0.0, "Viktor": 0.0, "Quinn": 0.0}, "confiden... |
needle_retrieval:train:15593 | needle_retrieval | 4 | The badge B-9771 has office Lagos. The badge B-0393 has office Porto. The badge B-6480 has office Osaka. The badge B-1022 has office Cusco. The badge B-3587 has office Quito. The badge B-7519 has office Cusco. The badge B-5335 has office Cusco. The badge B-7324 has office Cuenca. The badge B-1351 has office Hanoi. The ... | {"value_of_id": {"type": "choice", "criteria": {"Bergen": "Bergen", "Hue": "Hue", "Cusco": "Cusco", "Hanoi": "Hanoi", "Accra": "Accra", "Oslo": "Oslo", "Dakar": "Dakar", "Lima": "Lima"}, "instructions": "Which office is listed for badge B-5340?"}, "id_has_value": {"type": "noul", "instructions": "Is badge B-5340 listed... | {"value_of_id": {"type": "choice", "choice": "Lima", "probabilities": {"Bergen": 0.0, "Hue": 0.0, "Cusco": 0.0, "Hanoi": 0.0, "Accra": 0.0, "Oslo": 0.0, "Dakar": 0.0, "Lima": 1.0}, "confidence": 1.0}, "id_has_value": {"type": "noul", "noul": 1.0}, "id_listed": {"type": "noul", "noul": 0.0}} |
table_lookup:train:9011 | table_lookup | 0 | people:
name,team,city,start_year
Freya,support,Hanoi,2016
Ines,data,Accra,2011
Elif,support,Hanoi,2019
Quinn,search,Tunis,2013
Bruno,security,Dakar,2013
Ada,billing,Dakar,2014
teams:
team,manager
billing,Farah
search,Ximena
mobile,Tariq
security,Yusuf
data,Malik
support,Omar | {"find_person": {"type": "choice", "criteria": {"Ada": "Ada", "Quinn": "Quinn", "Ines": "Ines", "Elif": "Elif", "Bruno": "Bruno", "Freya": "Freya"}, "instructions": "Who is on the billing team and based in Dakar?"}, "manager_of": {"type": "choice", "criteria": {"Yusuf": "Yusuf", "Ximena": "Ximena", "Tariq": "Tariq", "O... | {"find_person": {"type": "choice", "choice": "Ada", "probabilities": {"Ada": 1.0, "Quinn": 0.0, "Ines": 0.0, "Elif": 0.0, "Bruno": 0.0, "Freya": 0.0}, "confidence": 1.0}, "manager_of": {"type": "choice", "choice": "Ximena", "probabilities": {"Yusuf": 0.0, "Ximena": 1.0, "Tariq": 0.0, "Omar": 0.0, "Farah": 0.0, "Malik":... |
policy_applicability:train:4557 | policy_applicability | 3 | {"request": {"subject": {"role": "engineer", "team": "beta", "clearance": 1}, "resource": {"team": "beta", "sensitivity": "restricted"}, "action": "read"}, "policies": [{"id": "P3", "priority": 6, "effect": "deny", "teams": ["beta", "gamma"], "min_clearance": 2, "actions": ["read", "write", "approve"]}, {"id": "P1", "p... | {"access_allowed": {"type": "noul", "instructions": "Does the governing policy allow the requested action?"}, "governing_policy": {"type": "choice", "instructions": "Which policy governs the request, i.e. has the highest priority among the policies whose constraints all hold?", "criteria": {"P1": "P1", "P2": "P2", "P3"... | {"access_allowed": {"type": "noul", "noul": 0.0}, "governing_policy": {"type": "choice", "choice": "P8", "probabilities": {"P1": 0.0, "P2": 0.0, "P3": 0.0, "P4": 0.0, "P5": 0.0, "P6": 0.0, "P7": 0.0, "P8": 1.0}, "confidence": 1.0}, "review_risk": {"type": "score", "score": 2.0, "legend": {"0": "Level 0: the resource is... |
entity_belief_tracking:train:10673 | entity_belief_tracking | 4 | {"locations": ["locker", "archive", "studio", "cabinet", "attic", "mailroom", "shelf", "desk", "basement", "drawer"], "initial_locations": {"item_1": "attic", "item_2": "cabinet", "item_3": "drawer"}, "events": [{"step": 1, "object": "item_3", "destination": "cabinet", "witnesses": []}, {"step": 2, "object": "item_2", ... | {"world_location": {"type": "choice", "instructions": "Where is item_3 actually located after all events?", "criteria": {"locker": "locker", "archive": "archive", "studio": "studio", "cabinet": "cabinet", "attic": "attic", "mailroom": "mailroom", "shelf": "shelf", "desk": "desk", "basement": "basement", "drawer": "draw... | {"world_location": {"type": "choice", "choice": "locker", "probabilities": {"locker": 1.0, "archive": 0.0, "studio": 0.0, "cabinet": 0.0, "attic": 0.0, "mailroom": 0.0, "shelf": 0.0, "desk": 0.0, "basement": 0.0, "drawer": 0.0}, "confidence": 1.0}, "agent_belief_location": {"type": "choice", "choice": "archive", "proba... |
evidence_sufficiency:train:8970 | evidence_sufficiency | 0 | {"claim": "The deployment is sufficiently supported as the cause of the incident.", "rules": ["Support is sufficient only with at least two independent valid supporting origins and no valid contradictory origin. Duplicates from one origin count once.", "Evidence with valid=false is invalid.", "Break reliability ties by... | {"claim_supported": {"type": "noul", "instructions": "Following the stated rules, is the claim sufficiently supported?"}, "has_conflict": {"type": "noul", "instructions": "Is there at least one valid supporting origin and at least one valid contradictory origin?"}, "strongest_support_origin": {"type": "choice", "instru... | {"claim_supported": {"type": "noul", "noul": 0.0}, "has_conflict": {"type": "noul", "noul": 1.0}, "strongest_support_origin": {"type": "choice", "choice": "S3", "probabilities": {"S1": 0.0, "S2": 0.0, "S3": 1.0, "none": 0.0}, "confidence": 1.0}} |
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