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record_aggregation:train:10
record_aggregation
2
item=gray scarf; category=office; quantity=14; in_stock=True item=yellow mug; category=kitchen; quantity=9; in_stock=True item=white clock; category=garden; quantity=13; in_stock=True item=brown vase; category=garden; quantity=15; in_stock=True item=brown mug; category=garden; quantity=5; in_stock=True item=brown clock...
{"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 outdoor?"}, "largest_quantity": {"type": "choice", "criteria": {"purple kettle": "purple kettle", "black scarf": "black scarf", "gray clock": "gray clock", "bl...
{"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...
state_perturbation:train:17
state_perturbation
2
{"before": [{"id": "R1", "authorized": false, "status": "open", "amount": 900, "owner": "bob", "note": "reviewed", "status_note": "resolved", "amount_quoted": 520, "previous_owner": "unassigned"}, {"id": "R2", "authorized": true, "status": "blocked", "amount": 510, "owner": "alice", "note": "routine", "status_note": "b...
{"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": 0.0, "legend": {"0": "Lower operational r...
table_lookup:train:2
table_lookup
2
{"people": [{"name": "Bruno", "team": "mobile", "city": "Braga", "start_year": 2010}, {"name": "Ada", "team": "search", "city": "Porto", "start_year": 2008}, {"name": "Zoe", "team": "billing", "city": "Porto", "start_year": 2008}, {"name": "Chloe", "team": "support", "city": "Hanoi", "start_year": 2016}, {"name": "Nils...
{"find_person": {"type": "choice", "criteria": {"Viktor": "Viktor", "Chloe": "Chloe", "Nils": "Nils", "Zoe": "Zoe", "Jae": "Jae", "Bruno": "Bruno", "Priya": "Priya", "Omar": "Omar", "Ada": "Ada"}, "instructions": "Which person works in Hanoi on the team managed by Lena?"}, "manager_of": {"type": "choice", "criteria": {...
{"find_person": {"type": "choice", "choice": "Jae", "probabilities": {"Viktor": 0.0, "Chloe": 0.0, "Nils": 0.0, "Zoe": 0.0, "Jae": 1.0, "Bruno": 0.0, "Priya": 0.0, "Omar": 0.0, "Ada": 0.0}, "confidence": 1.0}, "manager_of": {"type": "choice", "choice": "Emeka", "probabilities": {"Mei": 0.0, "Lena": 0.0, "Dara": 0.0, "S...
taxonomy_routing:train:5
taxonomy_routing
2
Routing guide (a ticket goes to the category whose conditions it all meets; exactly one does): category | rule --- | --- accounts/escalations | tier is free and issue is defect and channel is chat shipping/escalations | product is camera returns/desk-b | amount above 50 and issue is refund shipping/desk-b | amount abov...
{"route": {"type": "choice", "criteria": {"accounts/escalations": "accounts/escalations", "shipping/escalations": "shipping/escalations", "returns/desk-b": "returns/desk-b", "shipping/desk-b": "shipping/desk-b", "software/specialists": "software/specialists", "accounts/intake": "accounts/intake", "hardware/specialists"...
{"route": {"type": "choice", "choice": "security/backlog", "probabilities": {"accounts/escalations": 0.0, "shipping/escalations": 0.0, "returns/desk-b": 0.0, "shipping/desk-b": 0.0, "software/specialists": 0.0, "accounts/intake": 0.0, "hardware/specialists": 0.0, "billing/backlog": 0.0, "returns/specialists": 0.0, "shi...
arithmetic:train:17
arithmetic
3
Starting at 07:25: backup check (50 min), then report writing (1 h 20 min), then code review (1 h), then interviews (60 min), then planning (1 h 10 min), then client call (75 min). Tasks run back to back in this order, with a 15-minute break between tasks.
{"done_by_deadline": {"type": "noul", "instructions": "Is everything done by 15:10?"}, "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", "noul": 0.0}, "random_is_long": {"type": "noul", "noul": 1.0}}
entity_belief_tracking:train:6
entity_belief_tracking
3
{"locations": ["lab", "archive", "shelf", "office", "attic", "mailroom", "kitchen", "vault", "cabinet"], "initial_locations": {"item_1": "kitchen", "item_2": "kitchen", "item_3": "attic"}, "events": [{"step": 1, "object": "item_1", "destination": "archive", "witnesses": ["carol", "dave"]}, {"step": 2, "object": "item_1...
{"world_location": {"type": "choice", "instructions": "Where is item_2 actually located after all events?", "criteria": {"lab": "lab", "archive": "archive", "shelf": "shelf", "office": "office", "attic": "attic", "mailroom": "mailroom", "kitchen": "kitchen", "vault": "vault", "cabinet": "cabinet"}}, "agent_belief_locat...
{"world_location": {"type": "choice", "choice": "office", "probabilities": {"lab": 0.0, "archive": 0.0, "shelf": 0.0, "office": 1.0, "attic": 0.0, "mailroom": 0.0, "kitchen": 0.0, "vault": 0.0, "cabinet": 0.0}, "confidence": 1.0}, "agent_belief_location": {"type": "choice", "choice": "office", "probabilities": {"lab": ...
event_state_reconstruction:train:23
event_state_reconstruction
3
{"initial_state": {"owner": "carol", "open": true, "severity": "routine"}, "events": [{"ts": 116, "kind": "note", "text": "ack"}, {"ts": 138, "kind": "note", "text": "customer update"}, {"ts": 128, "kind": "assign", "owner": "unassigned"}, {"ts": 112, "kind": "reopen"}, {"ts": 121, "kind": "assign", "owner": "alice"}, ...
{"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": 0.0, "legend": {"0": "routine: Routine.", "1": "degraded: Degraded service requ...
evidence_sufficiency:train:3
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": "S2", "probabilities": {"S1": 0.0, "S2": 1.0, "S3": 0.0, "S4": 0.0, "S5": 0.0, "S6": 0.0, "S7": 0.0, "none": 0.0}, "confidence": 1.0}}
multi_view_adjudication:train:12
multi_view_adjudication
3
{"ticket": {"channel": "chat"}, "billing": {"duplicate_charge": true, "invoice_mismatch": false, "refund_missing": false}, "account": {"active": true, "permission_mismatch": false, "tier": "free"}, "telemetry": {"integration_failures": 1, "error_rate_percent": 19}, "timeline": {"deadline_hours": null, "executive_escala...
{"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": 1.0, "legend": {"0": "Level 0: no affected feature is down or slow.", "1": "L...
needle_retrieval:train:9
needle_retrieval
3
The badge B-7136 has office Lagos. The badge B-1318 has office Cuenca. The badge B-7591 has office Darwin. The badge B-0119 has office Osaka. The badge B-1730 has office Kobe. The badge B-6111 has office Sfax. The badge B-6106 has office Dakar. The badge B-8569 has office Cuenca. The badge B-9687 has office Lima. The b...
{"value_of_id": {"type": "choice", "criteria": {"Dakar": "Dakar", "Oslo": "Oslo", "Bergen": "Bergen", "Braga": "Braga", "Cuenca": "Cuenca", "Lagos": "Lagos", "Hanoi": "Hanoi", "Kobe": "Kobe", "Darwin": "Darwin", "Porto": "Porto", "Hue": "Hue", "Quito": "Quito", "Sfax": "Sfax", "Cusco": "Cusco", "Tunis": "Tunis", "Perth...
{"value_of_id": {"type": "choice", "choice": "Porto", "probabilities": {"Dakar": 0.0, "Oslo": 0.0, "Bergen": 0.0, "Braga": 0.0, "Cuenca": 0.0, "Lagos": 0.0, "Hanoi": 0.0, "Kobe": 0.0, "Darwin": 0.0, "Porto": 1.0, "Hue": 0.0, "Quito": 0.0, "Sfax": 0.0, "Cusco": 0.0, "Tunis": 0.0, "Perth": 0.0, "Osaka": 0.0, "Accra": 0.0...
partial_observation_calibration:train:1
partial_observation_calibration
3
{"prior_probability_incident": "2/3", "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": 0.993103}}
policy_applicability:train:1
policy_applicability
3
{"request": {"subject": {"role": "analyst", "team": "alpha", "clearance": 1}, "resource": {"team": "gamma", "sensitivity": "restricted"}, "action": "read"}, "policies": [{"id": "P7", "priority": 2, "effect": "allow", "roles": ["engineer"], "teams": ["beta", "gamma"], "min_clearance": 2, "actions": ["read"], "max_sensit...
{"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...
policy_under_uncertainty:train:5
policy_under_uncertainty
3
{"request": {"subject": {"role": "unknown", "team": "alpha", "clearance": 1}, "resource": {"team": "alpha", "sensitivity": "restricted"}, "action": "write"}, "role_evidence": {"history": "Of the last 53 requests from this account, 16 by analysts, 20 by engineers, 17 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": 0.014388}, "governing_policy": {"type": "choice", "choice": "P3", "probabilities": {"P1": 0.0, "P2": 0.014388489208633094, "P3": 0.8633093525179856, "P4": 0.0, "P5": 0.0, "P6": 0.0, "none (default deny)": 0.1223021582733813}, "confidence": 0.8633093525179856}, "requester_role...
record_aggregation:train:16
record_aggregation
3
[{"item": "orange chair", "category": "office", "quantity": 11, "in_stock": true}, {"item": "blue vase", "category": "kitchen", "quantity": 20, "in_stock": true}, {"item": "blue scarf", "category": "outdoor", "quantity": 16, "in_stock": true}, {"item": "red tent", "category": "office", "quantity": 18, "in_stock": true}...
{"count_in_category": {"type": "score", "criteria": ["0", "1", "2", "3", "4", "5", "6", "7", "8", "9 or more"], "instructions": "Count the tools items."}, "largest_quantity": {"type": "choice", "criteria": {"brown rope": "brown rope", "yellow scarf": "yellow scarf", "red scarf": "red scarf", "blue lamp": "blue lamp", "...
{"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...
state_perturbation:train:13
state_perturbation
3
{"before": [{"id": "R1", "authorized": false, "status": "blocked", "amount": 490, "owner": "bob", "note": "reviewed", "status_note": "blocked", "amount_quoted": 520, "previous_owner": "unassigned"}, {"id": "R2", "authorized": true, "status": "blocked", "amount": 550, "owner": "alice", "note": "reviewed", "status_note":...
{"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": 1.0}, "changed_dimension": {"type": "choice", "choice": "status", "probabilities": {"authorization": 0.0, "status": 1.0, "financial": 0.0, "ownership": 0.0, "none": 0.0}, "confidence": 1.0}, "risk_direction": {"type": "score", "score": 0.0, "legend": {"0": "Lower operational...
table_lookup:train:22
table_lookup
3
people: name,team,city,start_year Viktor,mobile,Darwin,2011 Jae,security,Accra,2009 Dara,data,Porto,2022 Hana,support,Lagos,2017 Quinn,mobile,Darwin,2023 Carlos,support,Lagos,2017 Bea,security,Accra,2012 Emeka,search,Accra,2017 Ximena,search,Accra,2023 Priya,data,Accra,2009 Tariq,support,Lagos,2012 Yusuf,mobile,Accra,2...
{"find_person": {"type": "choice", "criteria": {"Emeka": "Emeka", "Bea": "Bea", "Dara": "Dara", "Omar": "Omar", "Priya": "Priya", "Jae": "Jae", "Ximena": "Ximena", "Ivy": "Ivy", "Tariq": "Tariq", "Dmitri": "Dmitri", "Quinn": "Quinn", "Chloe": "Chloe", "Farah": "Farah", "Kenji": "Kenji", "Hugo": "Hugo", "Amir": "Amir", ...
{"find_person": {"type": "choice", "choice": "Tariq", "probabilities": {"Emeka": 0.0, "Bea": 0.0, "Dara": 0.0, "Omar": 0.0, "Priya": 0.0, "Jae": 0.0, "Ximena": 0.0, "Ivy": 0.0, "Tariq": 1.0, "Dmitri": 0.0, "Quinn": 0.0, "Chloe": 0.0, "Farah": 0.0, "Kenji": 0.0, "Hugo": 0.0, "Amir": 0.0, "Yusuf": 0.0, "Carlos": 0.0, "Le...
taxonomy_routing:train:9
taxonomy_routing
3
Routing guide (a ticket goes to the category whose conditions it all meets; exactly one does): [{"category": "accounts/specialists", "rule": "age days above 14 and tier is plus"}, {"category": "accounts/escalations", "rule": "age days above 14 and channel is email and product is laptop"}, {"category": "shipping/desk-b"...
{"route": {"type": "choice", "criteria": {"accounts/specialists": "accounts/specialists", "accounts/escalations": "accounts/escalations", "shipping/desk-b": "shipping/desk-b", "shipping/escalations": "shipping/escalations", "software/escalations": "software/escalations", "accounts/desk-b": "accounts/desk-b", "shipping/...
{"route": {"type": "choice", "choice": "onboarding/specialists", "probabilities": {"accounts/specialists": 0.0, "accounts/escalations": 0.0, "shipping/desk-b": 0.0, "shipping/escalations": 0.0, "software/escalations": 0.0, "accounts/desk-b": 0.0, "shipping/intake": 0.0, "software/desk-a": 0.0, "compliance/review": 0.0,...
arithmetic:train:5
arithmetic
4
Order lines (prices in $): item,unit_price,quantity rope,17,5 mug,55,2 clock,13,3 kettle,72,2 lamp,25,6 chair,34,7 drill,21,6 Rule: Orders of $910 or more get $20 off; smaller orders pay $4 shipping.
{"lines_above": {"type": "score", "criteria": ["0", "1", "2", "3", "4", "5", "6", "7", "8", "9"], "instructions": "How many lines cost more than $150 in total?"}, "largest_line": {"type": "choice", "criteria": {"rope": "rope", "mug": "mug", "clock": "clock", "kettle": "kettle", "lamp": "lamp", "chair": "chair", "drill"...
{"lines_above": {"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"}, "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}, "largest_line": {"typ...
entity_belief_tracking:train:11
entity_belief_tracking
4
{"locations": ["kitchen", "studio", "attic", "workshop", "desk", "basement", "vault", "cabinet", "locker", "office", "garage", "lab"], "initial_locations": {"item_1": "vault", "item_2": "attic", "item_3": "attic"}, "events": [{"step": 1, "object": "item_1", "destination": "office", "witnesses": ["alice", "bob", "carol"...
{"world_location": {"type": "choice", "instructions": "Where is item_2 actually located after all events?", "criteria": {"kitchen": "kitchen", "studio": "studio", "attic": "attic", "workshop": "workshop", "desk": "desk", "basement": "basement", "vault": "vault", "cabinet": "cabinet", "locker": "locker", "office": "offi...
{"world_location": {"type": "choice", "choice": "garage", "probabilities": {"kitchen": 0.0, "studio": 0.0, "attic": 0.0, "workshop": 0.0, "desk": 0.0, "basement": 0.0, "vault": 0.0, "cabinet": 0.0, "locker": 0.0, "office": 0.0, "garage": 1.0, "lab": 0.0}, "confidence": 1.0}, "agent_belief_location": {"type": "choice", ...
event_state_reconstruction:train:4
event_state_reconstruction
4
{"initial_state": {"owner": "bob", "open": true, "severity": "routine"}, "events": [{"ts": 129, "kind": "void", "voids_ts": 102}, {"ts": 140, "kind": "void", "voids_ts": 134}, {"ts": 160, "kind": "assign", "owner": "unassigned"}, {"ts": 174, "kind": "severity", "severity": "critical"}, {"ts": 102, "kind": "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": "unassigned", "probabilities": {"alice": 0.0, "bob": 0.0, "carol": 0.0, "unassigned": 1.0}, "confidence": 1.0}, "is_open": {"type": "noul", "noul": 0.0}, "current_severity": {"type": "score", "score": 2.0, "legend": {"0": "routine: Routine.", "1": "degraded: Degraded servi...
evidence_sufficiency:train:20
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": "S6", "probabilities": {"S1": 0.0, "S2": 0.0, "S3": 0.0, "S4": 0.0, "S5": 0.0, "S6": 1.0, "S7": 0.0, "S8": 0.0, "S9": 0.0, "S10": 0.0, "S11": 0.0, "none": 0.0}, "con...
multi_view_adjudication:train:8
multi_view_adjudication
4
{"ticket": {"channel": "chat"}, "billing": {"duplicate_charge": false, "invoice_mismatch": true, "refund_missing": false}, "account": {"active": true, "permission_mismatch": false, "tier": "enterprise"}, "telemetry": {"integration_failures": 1, "error_rate_percent": 15}, "timeline": {"now_hour": 66, "due_hour": null, "...
{"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": 0.0}, "workflow_impact": {"type": "score", "score": 1.0, "legend": {"0": "Level 0: no affected feature is down or slow.", "1": "L...
needle_retrieval:train:4
needle_retrieval
4
id,branch A-2801,Cuenca A-3205,Porto A-6744,Perth A-0805,Accra A-9665,Accra A-5221,Perth A-2328,Thies A-5390,Perth A-5098,Accra A-7886,Oslo A-4155,Cuenca A-9357,Hanoi A-3508,Bergen A-3570,Porto A-9946,Hue A-2521,Cuenca A-3245,Quito A-9493,Tunis A-2956,Quito A-7946,Thies A-3275,Hue A-7002,Sfax A-6356,Accra A-7805,Oslo A...
{"value_of_id": {"type": "choice", "criteria": {"Lima": "Lima", "Oslo": "Oslo", "Bergen": "Bergen", "Cusco": "Cusco", "Braga": "Braga", "Hue": "Hue", "Perth": "Perth", "Quito": "Quito", "Osaka": "Osaka", "Sfax": "Sfax", "Porto": "Porto", "Cuenca": "Cuenca", "Accra": "Accra"}, "instructions": "Which branch is listed for...
{"value_of_id": {"type": "choice", "choice": "Oslo", "probabilities": {"Lima": 0.0, "Oslo": 1.0, "Bergen": 0.0, "Cusco": 0.0, "Braga": 0.0, "Hue": 0.0, "Perth": 0.0, "Quito": 0.0, "Osaka": 0.0, "Sfax": 0.0, "Porto": 0.0, "Cuenca": 0.0, "Accra": 0.0}, "confidence": 1.0}, "id_has_value": {"type": "noul", "noul": 0.0}, "i...
partial_observation_calibration:train:11
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": 0.272727}}
policy_applicability:train:20
policy_applicability
4
{"request": {"subject": {"role": "analyst", "team": "gamma", "clearance": 1}, "resource": {"team": "gamma", "sensitivity": "restricted"}, "action": "read"}, "policies": [{"id": "P2", "priority": 8, "effect": "deny", "roles": ["engineer", "manager"], "teams": ["alpha", "beta", "gamma"], "min_clearance": 2, "actions": ["...
{"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": "P6", "probabilities": {"P1": 0.0, "P2": 0.0, "P3": 0.0, "P4": 0.0, "P5": 0.0, "P6": 1.0, "P7": 0.0, "P8": 0.0, "P9": 0.0}, "confidence": 1.0}, "review_risk": {"type": "score", "score": 2.0, "legend": {"0": "Level 0: the ...
policy_under_uncertainty:train:7
policy_under_uncertainty
4
{"request": {"subject": {"role": "unknown", "team": "gamma", "clearance": 1}, "resource": {"team": "beta", "sensitivity": "public"}, "action": "write"}, "role_evidence": {"history": "Of the last 68 requests from this account, 26 by analysts, 24 by engineers, 18 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": 0.999961}, "governing_policy": {"type": "choice", "choice": "P2", "probabilities": {"P1": 0.0, "P2": 0.9999607068480819, "P3": 0.0, "P4": 0.0, "P5": 0.0, "P6": 0.0, "P7": 0.0, "none (default deny)": 3.929315191804163e-05}, "confidence": 0.9999607068480819}, "requester_role": ...
record_aggregation:train:2
record_aggregation
4
item,category,quantity,in_stock orange drill,tools,10,True green lamp,kitchen,16,True yellow mug,kitchen,12,True gray vase,tools,5,False red rope,garden,1,True green mug,tools,13,True gray mug,kitchen,2,True white vase,kitchen,9,True yellow chair,kitchen,7,True green rope,outdoor,5,True red clock,office,1,False red ten...
{"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": {"orange kettle": "orange kettle", "green drill": "green drill", "brown chair": "brown chair", "green tent": "gre...
{"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...
state_perturbation:train:8
state_perturbation
4
{"before": [{"id": "R1", "authorized": false, "status": "open", "amount": 540, "owner": "alice", "note": "routine", "status_note": "open", "amount_quoted": 530, "previous_owner": "unassigned"}, {"id": "R2", "authorized": true, "status": "open", "amount": 480, "owner": "bob", "note": "reviewed", "status_note": "resolved...
{"material_change": {"type": "noul", "instructions": "Did any material field of record R1 change?"}, "changed_dimension": {"type": "choice", "instructions": "Which material dimension of record R1 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...
table_lookup:train:12
table_lookup
4
people: name,team,city,start_year Nora,security,Osaka,2016 Farah,security,Hanoi,2017 Dara,search,Osaka,2011 Freya,mobile,Osaka,2020 Jonas,mobile,Lima,2019 Hana,security,Osaka,2010 Elif,search,Lima,2014 Rosa,support,Cuenca,2018 Ada,mobile,Lima,2014 Amir,search,Hanoi,2016 Yusuf,billing,Osaka,2023 Lena,billing,Hanoi,2015 ...
{"find_person": {"type": "choice", "criteria": {"Priya": "Priya", "Bea": "Bea", "Bruno": "Bruno", "Quinn": "Quinn", "Freya": "Freya", "Hana": "Hana", "Ximena": "Ximena", "Dmitri": "Dmitri", "Uma": "Uma", "Malik": "Malik", "Nils": "Nils", "Amir": "Amir", "Lena": "Lena", "Farah": "Farah", "Chloe": "Chloe", "Hugo": "Hugo"...
{"find_person": {"type": "choice", "choice": "Dmitri", "probabilities": {"Priya": 0.0, "Bea": 0.0, "Bruno": 0.0, "Quinn": 0.0, "Freya": 0.0, "Hana": 0.0, "Ximena": 0.0, "Dmitri": 1.0, "Uma": 0.0, "Malik": 0.0, "Nils": 0.0, "Amir": 0.0, "Lena": 0.0, "Farah": 0.0, "Chloe": 0.0, "Hugo": 0.0, "Yusuf": 0.0, "Kofi": 0.0, "Lu...
taxonomy_routing:train:10
taxonomy_routing
4
Routing guide (a ticket goes to the category whose conditions it all meets; exactly one does): category | rule --- | --- hardware/specialists | channel is phone and product is laptop and issue is defect hardware/priority | channel is email and amount above 200 shipping/backlog | tier is free and channel is chat shippin...
{"route": {"type": "choice", "criteria": {"hardware/specialists": "hardware/specialists", "hardware/priority": "hardware/priority", "shipping/backlog": "shipping/backlog", "shipping/review": "shipping/review", "software/desk-b": "software/desk-b", "billing/desk-a": "billing/desk-a", "security/desk-b": "security/desk-b"...
{"route": {"type": "choice", "choice": "hardware/review", "probabilities": {"hardware/specialists": 0.0, "hardware/priority": 0.0, "shipping/backlog": 0.0, "shipping/review": 0.0, "software/desk-b": 0.0, "billing/desk-a": 0.0, "security/desk-b": 0.0, "partners/review": 0.0, "partners/specialists": 0.0, "billing/review"...
arithmetic:train:3
arithmetic
0
Order: 3 x scarf at $13 each. 3 x vase at $8 each. Rule: Orders of $75 or more get $15 off; smaller orders pay $8 shipping.
{"amount_due": {"type": "choice", "criteria": {"$76": "$76", "$71": "$71", "$81": "$81", "$73": "$73", "$72": "$72"}, "instructions": "After applying the rule, what does the order cost?"}, "largest_line": {"type": "choice", "criteria": {"scarf": "scarf", "vase": "vase"}, "instructions": "Which item accounts for the lar...
{"amount_due": {"type": "choice", "choice": "$71", "probabilities": {"$76": 0.0, "$71": 1.0, "$81": 0.0, "$73": 0.0, "$72": 0.0}, "confidence": 1.0}, "largest_line": {"type": "choice", "choice": "scarf", "probabilities": {"scarf": 1.0, "vase": 0.0}, "confidence": 1.0}, "lines_above": {"type": "score", "score": 0.0, "le...
entity_belief_tracking:train:10
entity_belief_tracking
0
{"locations": ["office", "archive", "shelf", "cabinet", "studio", "garage", "lab", "basement", "workshop", "mailroom", "kitchen"], "initial_locations": {"item_1": "archive"}, "events": [{"step": 1, "object": "item_1", "destination": "workshop", "witnesses": ["alice", "bob"]}, {"step": 2, "object": "item_1", "destinatio...
{"world_location": {"type": "choice", "instructions": "Where is item_1 actually located after all events?", "criteria": {"office": "office", "archive": "archive", "shelf": "shelf", "cabinet": "cabinet", "studio": "studio", "garage": "garage", "lab": "lab", "basement": "basement", "workshop": "workshop", "mailroom": "ma...
{"world_location": {"type": "choice", "choice": "studio", "probabilities": {"office": 0.0, "archive": 0.0, "shelf": 0.0, "cabinet": 0.0, "studio": 1.0, "garage": 0.0, "lab": 0.0, "basement": 0.0, "workshop": 0.0, "mailroom": 0.0, "kitchen": 0.0}, "confidence": 1.0}, "agent_belief_location": {"type": "choice", "choice":...
event_state_reconstruction:train:16
event_state_reconstruction
0
{"initial_state": {"owner": "carol", "open": true, "severity": "degraded"}, "events": [{"ts": 101, "kind": "note", "text": "ack"}, {"ts": 105, "kind": "resolve"}, {"ts": 108, "kind": "resolve"}], "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": "carol", "probabilities": {"alice": 0.0, "bob": 0.0, "carol": 1.0, "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 re...
evidence_sufficiency:train:5
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}}
multi_view_adjudication:train:26
multi_view_adjudication
0
{"ticket": {"channel": "email"}, "billing": {"duplicate_charge": false, "invoice_mismatch": false, "refund_missing": false}, "account": {"active": true, "auth_failures": 3, "permission_mismatch": false, "tier": "free"}, "telemetry": {"integration_failures": 1, "error_rate_percent": 20}, "timeline": {"deadline_hours": 8...
{"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": 1.0}, "workflow_impact": {"type": "score", "score": 2.0, "legend": {"0": "Level 0: no affected feature is down or slow.", "1": "Le...
needle_retrieval:train:31
needle_retrieval
0
The badge B-7271 has office Sfax. The badge B-6815 has office Lima. The badge B-8902 has office Dakar. The badge B-1727 has office Perth. The badge B-0146 has office Lagos. The badge B-7266 has office Braga. The badge B-7026 has office Thies. The badge B-7626 has office Accra. The badge B-7627 has office Bergen. The ba...
{"value_of_id": {"type": "choice", "criteria": {"Lagos": "Lagos", "Thies": "Thies", "Cusco": "Cusco", "Tunis": "Tunis", "Quito": "Quito", "Sfax": "Sfax", "Bergen": "Bergen", "Braga": "Braga", "Kobe": "Kobe", "Perth": "Perth", "Accra": "Accra", "Hanoi": "Hanoi", "Porto": "Porto", "Lima": "Lima"}, "instructions": "What i...
{"value_of_id": {"type": "choice", "choice": "Accra", "probabilities": {"Lagos": 0.0, "Thies": 0.0, "Cusco": 0.0, "Tunis": 0.0, "Quito": 0.0, "Sfax": 0.0, "Bergen": 0.0, "Braga": 0.0, "Kobe": 0.0, "Perth": 0.0, "Accra": 1.0, "Hanoi": 0.0, "Porto": 0.0, "Lima": 0.0}, "confidence": 1.0}, "id_has_value": {"type": "noul", ...
partial_observation_calibration:train:15
partial_observation_calibration
0
{"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": "2/3", "p_positive_given_no_incident": "1/3"}]}
{"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": 0.111111}}
policy_applicability:train:15
policy_applicability
0
{"request": {"subject": {"role": "manager", "team": "alpha", "clearance": 0}, "resource": {"team": "beta", "sensitivity": "restricted"}, "action": "read"}, "policies": [{"id": "P1", "priority": 2, "effect": "deny", "roles": ["manager"]}, {"id": "P2", "priority": 1, "effect": "deny", "roles": ["analyst", "engineer", "ma...
{"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"}}, "r...
{"access_allowed": {"type": "noul", "noul": 0.0}, "governing_policy": {"type": "choice", "choice": "P1", "probabilities": {"P1": 1.0, "P2": 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 effect.", "1": ...
policy_under_uncertainty:train:9
policy_under_uncertainty
0
{"request": {"subject": {"role": "unknown", "team": "beta", "clearance": 1}, "resource": {"team": "alpha", "sensitivity": "restricted"}, "action": "read"}, "role_evidence": {"history": "Of the last 35 requests from this account, 9 by analysts, 22 by engineers, 4 by managers. No other role has used it.", "reports": [{"s...
{"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": 0.0}, "governing_policy": {"type": "choice", "choice": "none (default deny)", "probabilities": {"P1": 0.0, "P2": 0.0, "none (default deny)": 1.0}, "confidence": 1.0}, "requester_role": {"type": "choice", "choice": "engineer", "probabilities": {"analyst": 0.0891089108910891, "...
record_aggregation:train:11
record_aggregation
0
item=yellow lamp; category=kitchen; quantity=7; in_stock=True item=gray drill; category=office; quantity=19; in_stock=True item=gray chair; category=office; quantity=5; in_stock=False item=purple tent; category=tools; quantity=18; in_stock=False item=blue scarf; category=tools; quantity=14; in_stock=True item=orange dr...
{"count_in_category": {"type": "score", "criteria": ["0", "1", "2", "3", "4", "5", "6", "7", "8", "9 or more"], "instructions": "Count the tools items."}, "largest_quantity": {"type": "choice", "criteria": {"gray drill": "gray drill", "gray chair": "gray chair", "yellow lamp": "yellow lamp", "purple tent": "purple tent...
{"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...
state_perturbation:train:15
state_perturbation
0
{"before": [{"id": "R1", "authorized": false, "status": "resolved", "amount": 250, "owner": "alice", "note": "routine"}], "after": [{"id": "R1", "authorized": false, "status": "resolved", "amount": 250, "owner": "alice", "note": "imported"}], "materiality": "Material fields are authorized, status, amount, and owner; ev...
{"material_change": {"type": "noul", "instructions": "Did any material field of record R1 change?"}, "changed_dimension": {"type": "choice", "instructions": "Which material dimension of record R1 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": 1.0, "legend": {"0": "Lower operational r...
table_lookup:train:10
table_lookup
0
people: name,team,city,start_year Amir,support,Bergen,2011 Mei,security,Thies,2008 Jonas,support,Bergen,2024 Hana,security,Bergen,2018 Yusuf,billing,Thies,2012 Sven,mobile,Thies,2023 Jae,search,Thies,2014 teams: team,manager billing,Bea search,Viktor mobile,Emeka security,Priya data,Uma support,Quinn
{"find_person": {"type": "choice", "criteria": {"Jae": "Jae", "Amir": "Amir", "Hana": "Hana", "Mei": "Mei", "Sven": "Sven", "Yusuf": "Yusuf", "Jonas": "Jonas"}, "instructions": "Which person works in Thies on the security team?"}, "manager_of": {"type": "choice", "criteria": {"Viktor": "Viktor", "Quinn": "Quinn", "Bea"...
{"find_person": {"type": "choice", "choice": "Mei", "probabilities": {"Jae": 0.0, "Amir": 0.0, "Hana": 0.0, "Mei": 1.0, "Sven": 0.0, "Yusuf": 0.0, "Jonas": 0.0}, "confidence": 1.0}, "manager_of": {"type": "choice", "choice": "Quinn", "probabilities": {"Viktor": 0.0, "Quinn": 1.0, "Bea": 0.0, "Emeka": 0.0, "Uma": 0.0, "...
taxonomy_routing:train:6
taxonomy_routing
0
Routing guide (a ticket goes to the category whose conditions it all meets; exactly one does): [{"category": "shipping/desk-b", "rule": "age days at most 14"}, {"category": "compliance/desk-a", "rule": "amount above 50"}, {"category": "accounts/intake", "rule": "amount at most 100"}, {"category": "billing/intake", "rul...
{"route": {"type": "choice", "criteria": {"shipping/desk-b": "shipping/desk-b", "compliance/desk-a": "compliance/desk-a", "accounts/intake": "accounts/intake", "billing/intake": "billing/intake"}, "instructions": "Where does the routing guide send this ticket?"}, "belongs_to": {"type": "noul", "instructions": "Should t...
{"route": {"type": "choice", "choice": "accounts/intake", "probabilities": {"shipping/desk-b": 0.0, "compliance/desk-a": 0.0, "accounts/intake": 1.0, "billing/intake": 0.0}, "confidence": 1.0}, "belongs_to": {"type": "noul", "noul": 0.0}, "conditions_met": {"type": "score", "score": 0.0, "legend": {"0": "0", "1": "1", ...
arithmetic:train:9
arithmetic
1
Start: 11:35 task,duration standup,55 min planning,20 min backup check,20 min Tasks run back to back in this order, with a 15-minute break between tasks.
{"longest_task": {"type": "choice", "criteria": {"standup": "standup", "planning": "planning", "backup check": "backup check"}, "instructions": "Which task takes the longest?"}, "done_by_deadline": {"type": "noul", "instructions": "Is everything done by 13:30?"}, "finish_time": {"type": "choice", "criteria": {"13:50": ...
{"longest_task": {"type": "choice", "choice": "standup", "probabilities": {"standup": 1.0, "planning": 0.0, "backup check": 0.0}, "confidence": 1.0}, "done_by_deadline": {"type": "noul", "noul": 0.0}, "finish_time": {"type": "choice", "choice": "13:40", "probabilities": {"13:50": 0.0, "13:40": 1.0, "13:20": 0.0, "13:55...
entity_belief_tracking:train:5
entity_belief_tracking
1
{"locations": ["shelf", "lab", "studio", "workshop", "office", "cabinet", "drawer"], "initial_locations": {"item_1": "office", "item_2": "cabinet"}, "events": [{"step": 1, "object": "item_2", "destination": "workshop", "witnesses": []}, {"step": 2, "object": "item_2", "destination": "lab", "witnesses": ["bob"]}, {"step...
{"world_location": {"type": "choice", "instructions": "Where is item_2 actually located after all events?", "criteria": {"shelf": "shelf", "lab": "lab", "studio": "studio", "workshop": "workshop", "office": "office", "cabinet": "cabinet", "drawer": "drawer"}}, "agent_belief_location": {"type": "choice", "instructions":...
{"world_location": {"type": "choice", "choice": "lab", "probabilities": {"shelf": 0.0, "lab": 1.0, "studio": 0.0, "workshop": 0.0, "office": 0.0, "cabinet": 0.0, "drawer": 0.0}, "confidence": 1.0}, "agent_belief_location": {"type": "choice", "choice": "cabinet", "probabilities": {"shelf": 0.0, "lab": 0.0, "studio": 0.0...
event_state_reconstruction:train:14
event_state_reconstruction
1
{"initial_state": {"owner": "alice", "open": true, "severity": "routine"}, "events": [{"ts": 101, "kind": "note", "text": "customer update"}, {"ts": 108, "kind": "severity", "severity": "degraded"}, {"ts": 115, "kind": "assign", "owner": "alice"}, {"ts": 120, "kind": "assign", "owner": "carol"}, {"ts": 125, "kind": "re...
{"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": 0.0}, "current_severity": {"type": "score", "score": 1.0, "legend": {"0": "routine: Routine.", "1": "degraded: Degraded service re...
evidence_sufficiency:train:9
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": "S3", "probabilities": {"S1": 0.0, "S2": 0.0, "S3": 1.0, "S4": 0.0, "none": 0.0}, "confidence": 1.0}}
multi_view_adjudication:train:4
multi_view_adjudication
1
{"ticket": {"channel": "email"}, "billing": {"duplicate_charge": false, "invoice_mismatch": false, "refund_missing": false}, "account": {"active": true, "auth_failures": 2, "permission_mismatch": false, "tier": "team"}, "telemetry": {"integration_failures": 0, "error_rate_percent": 5}, "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...
needle_retrieval:train:6
needle_retrieval
1
id,office B-3695,Kobe B-0657,Hue B-3939,Oslo B-0251,Accra B-6523,Tunis B-5207,Dakar B-0257,Osaka B-8257,Accra B-0761,Braga B-0259,Hue B-9784,Oslo B-5203,Braga B-0391,Lagos B-0381,Lagos B-7250,Kobe B-9059,Accra B-0252,Sfax
{"value_of_id": {"type": "choice", "criteria": {"Dakar": "Dakar", "Osaka": "Osaka", "Accra": "Accra", "Sfax": "Sfax", "Lima": "Lima", "Darwin": "Darwin", "Perth": "Perth", "Hue": "Hue", "Kobe": "Kobe"}, "instructions": "Look up badge B-0257. Which office does it have?"}, "id_has_value": {"type": "noul", "instructions":...
{"value_of_id": {"type": "choice", "choice": "Osaka", "probabilities": {"Dakar": 0.0, "Osaka": 1.0, "Accra": 0.0, "Sfax": 0.0, "Lima": 0.0, "Darwin": 0.0, "Perth": 0.0, "Hue": 0.0, "Kobe": 0.0}, "confidence": 1.0}, "id_has_value": {"type": "noul", "noul": 0.0}, "id_listed": {"type": "noul", "noul": 0.0}}
partial_observation_calibration:train:7
partial_observation_calibration
1
{"prior_probability_incident": "4/5", "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": 0.181818}}
policy_applicability:train:14
policy_applicability
1
{"request": {"subject": {"role": "engineer", "team": "beta", "clearance": 0}, "resource": {"team": "alpha", "sensitivity": "restricted"}, "action": "write"}, "policies": [{"id": "P1", "priority": 2, "effect": "allow", "teams": ["beta"], "max_sensitivity": "restricted"}, {"id": "P2", "priority": 1, "effect": "allow", "r...
{"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"}}, "r...
{"access_allowed": {"type": "noul", "noul": 1.0}, "governing_policy": {"type": "choice", "choice": "P1", "probabilities": {"P1": 1.0, "P2": 0.0}, "confidence": 1.0}, "review_risk": {"type": "score", "score": 1.0, "legend": {"0": "Level 0: the resource is not restricted and the matching policies agree on effect.", "1": ...
policy_under_uncertainty:train:15
policy_under_uncertainty
1
{"request": {"subject": {"role": "unknown", "team": "beta", "clearance": 2}, "resource": {"team": "alpha", "sensitivity": "internal"}, "action": "approve"}, "role_evidence": {"history": "Of the last 41 requests from this account, 14 by analysts, 25 by engineers, 2 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", "none (default deny)": "none (de...
{"access_allowed": {"type": "noul", "noul": 0.985612}, "governing_policy": {"type": "choice", "choice": "P1", "probabilities": {"P1": 0.9856115107913669, "P2": 0.0, "P3": 0.0, "none (default deny)": 0.014388489208633094}, "confidence": 0.9856115107913669}, "requester_role": {"type": "choice", "choice": "analyst", "prob...
record_aggregation:train:12
record_aggregation
1
item=gray clock; category=outdoor; quantity=5; in_stock=True item=orange tent; category=kitchen; quantity=10; in_stock=True item=orange vase; category=kitchen; quantity=17; in_stock=True item=black tent; category=office; quantity=13; in_stock=True item=yellow vase; category=kitchen; quantity=12; in_stock=True item=red ...
{"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": {"yellow scarf": "yellow scarf", "orange kettle": "orange kettle", "orange tent": "orange tent", "orange vase": ...
{"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...
state_perturbation:train:4
state_perturbation
1
{"before": [{"id": "R1", "authorized": false, "status": "blocked", "amount": 900, "owner": "alice", "note": "reviewed"}, {"id": "R2", "authorized": true, "status": "blocked", "amount": 100, "owner": "bob", "note": "reviewed"}], "after": [{"id": "R1", "authorized": false, "status": "blocked", "amount": 900, "owner": "un...
{"material_change": {"type": "noul", "instructions": "Did any material field of record R1 change?"}, "changed_dimension": {"type": "choice", "instructions": "Which material dimension of record R1 changed? Choose none when only non-material fields changed.", "criteria": {"authorization": "authorization", "status": "stat...
{"material_change": {"type": "noul", "noul": 1.0}, "changed_dimension": {"type": "choice", "choice": "ownership", "probabilities": {"authorization": 0.0, "status": 0.0, "financial": 0.0, "ownership": 1.0, "none": 0.0}, "confidence": 1.0}, "risk_direction": {"type": "score", "score": 2.0, "legend": {"0": "Lower operatio...
table_lookup:train:5
table_lookup
1
{"people": [{"name": "Nils", "team": "search", "city": "Kobe", "start_year": 2015}, {"name": "Yusuf", "team": "data", "city": "Cuenca", "start_year": 2022}, {"name": "Amir", "team": "support", "city": "Kobe", "start_year": 2024}, {"name": "Zoe", "team": "security", "city": "Kobe", "start_year": 2022}, {"name": "Bea", "...
{"find_person": {"type": "choice", "criteria": {"Nora": "Nora", "Bea": "Bea", "Zoe": "Zoe", "Yusuf": "Yusuf", "Farah": "Farah", "Dmitri": "Dmitri", "Amir": "Amir", "Nils": "Nils", "Priya": "Priya", "Emeka": "Emeka"}, "instructions": "Which person works in Lima on the billing team?"}, "manager_of": {"type": "choice", "c...
{"find_person": {"type": "choice", "choice": "Nora", "probabilities": {"Nora": 1.0, "Bea": 0.0, "Zoe": 0.0, "Yusuf": 0.0, "Farah": 0.0, "Dmitri": 0.0, "Amir": 0.0, "Nils": 0.0, "Priya": 0.0, "Emeka": 0.0}, "confidence": 1.0}, "manager_of": {"type": "choice", "choice": "Gil", "probabilities": {"Omar": 0.0, "Mei": 0.0, "...
taxonomy_routing:train:22
taxonomy_routing
1
Routing guide (a ticket goes to the category whose conditions it all meets; exactly one does): category | rule --- | --- onboarding/priority | amount above 50 and age days at most 14 hardware/specialists | amount above 50 and region is south returns/desk-a | amount above 50 and age days at most 7 billing/desk-b | amoun...
{"route": {"type": "choice", "criteria": {"onboarding/priority": "onboarding/priority", "hardware/specialists": "hardware/specialists", "returns/desk-a": "returns/desk-a", "billing/desk-b": "billing/desk-b", "partners/specialists": "partners/specialists", "shipping/escalations": "shipping/escalations", "accounts/backlo...
{"route": {"type": "choice", "choice": "billing/desk-b", "probabilities": {"onboarding/priority": 0.0, "hardware/specialists": 0.0, "returns/desk-a": 0.0, "billing/desk-b": 1.0, "partners/specialists": 0.0, "shipping/escalations": 0.0, "accounts/backlog": 0.0, "security/desk-b": 0.0, "software/desk-a": 0.0, "security/s...
arithmetic:train:18
arithmetic
2
Opening balance: £250 day=2; type=withdrawal; amount=10 day=3; type=withdrawal; amount=105 day=6; type=withdrawal; amount=80 day=12; type=withdrawal; amount=45 day=15; type=deposit; amount=85 day=20; type=withdrawal; amount=5
{"went_negative": {"type": "noul", "instructions": "Does the balance ever drop below zero?"}, "net_change": {"type": "score", "criteria": ["Fell by more than 50.", "Changed by 50 or less.", "Rose by more than 50."], "instructions": "From opening to closing, how did the balance change?"}, "final_balance": {"type": "choi...
{"went_negative": {"type": "noul", "noul": 0.0}, "net_change": {"type": "score", "score": 0.0, "legend": {"0": "Fell by more than 50.", "1": "Changed by 50 or less.", "2": "Rose by more than 50."}, "probabilities": {"0": 1.0, "1": 0.0, "2": 0.0}, "confidence": 1.0}, "final_balance": {"type": "choice", "choice": "£90", ...
entity_belief_tracking:train:31
entity_belief_tracking
2
{"locations": ["desk", "archive", "basement", "workshop", "cabinet", "mailroom"], "initial_locations": {"item_1": "archive", "item_2": "basement"}, "events": [{"step": 1, "object": "item_2", "destination": "mailroom", "witnesses": ["alice", "bob", "carol"]}, {"step": 2, "object": "item_2", "destination": "basement", "w...
{"world_location": {"type": "choice", "instructions": "Where is item_2 actually located after all events?", "criteria": {"desk": "desk", "archive": "archive", "basement": "basement", "workshop": "workshop", "cabinet": "cabinet", "mailroom": "mailroom"}}, "agent_belief_location": {"type": "choice", "instructions": "Wher...
{"world_location": {"type": "choice", "choice": "desk", "probabilities": {"desk": 1.0, "archive": 0.0, "basement": 0.0, "workshop": 0.0, "cabinet": 0.0, "mailroom": 0.0}, "confidence": 1.0}, "agent_belief_location": {"type": "choice", "choice": "desk", "probabilities": {"desk": 1.0, "archive": 0.0, "basement": 0.0, "wo...
event_state_reconstruction:train:5
event_state_reconstruction
2
{"initial_state": {"owner": "bob", "open": true, "severity": "critical"}, "events": [{"ts": 119, "kind": "severity", "severity": "critical"}, {"ts": 131, "kind": "severity", "severity": "routine"}, {"ts": 122, "kind": "severity", "severity": "degraded"}, {"ts": 136, "kind": "reopen"}, {"ts": 102, "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": "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": 0.0, "legend": {"0": "routine: Routine.", "1": "degraded: Degraded service requ...
evidence_sufficiency:train:19
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": "S2", "probabilities": {"S1": 0.0, "S2": 1.0, "S3": 0.0, "S4": 0.0, "S5": 0.0, "none": 0.0}, "confidence": 1.0}}
multi_view_adjudication:train:16
multi_view_adjudication
2
{"ticket": {"channel": "email"}, "billing": {"duplicate_charge": false, "invoice_mismatch": false, "refund_missing": false}, "account": {"active": true, "auth_failures": 2, "permission_mismatch": false, "tier": "free"}, "telemetry": {"integration_failures": 1, "error_rate_percent": 18}, "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": "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": 1.0, "legend": {"0": "Level 0: no affected feature is down or slow.", "1": "Le...
needle_retrieval:train:18
needle_retrieval
2
id=B-4464; office=Dakar id=B-1469; office=Perth id=B-9191; office=Cusco id=B-9685; office=Cuenca id=B-4441; office=Accra id=B-6589; office=Bergen id=B-3807; office=Dakar id=B-0708; office=Cusco id=B-5508; office=Lima id=B-1312; office=Tunis id=B-6665; office=Lagos id=B-9054; office=Braga id=B-3390; office=Osaka id=B-58...
{"value_of_id": {"type": "choice", "criteria": {"Accra": "Accra", "Darwin": "Darwin", "Braga": "Braga", "Bergen": "Bergen", "Osaka": "Osaka", "Dakar": "Dakar", "Tunis": "Tunis", "Sfax": "Sfax", "Hanoi": "Hanoi", "Kobe": "Kobe", "Cusco": "Cusco", "Porto": "Porto", "Cuenca": "Cuenca", "Hue": "Hue", "Lagos": "Lagos", "Osl...
{"value_of_id": {"type": "choice", "choice": "Oslo", "probabilities": {"Accra": 0.0, "Darwin": 0.0, "Braga": 0.0, "Bergen": 0.0, "Osaka": 0.0, "Dakar": 0.0, "Tunis": 0.0, "Sfax": 0.0, "Hanoi": 0.0, "Kobe": 0.0, "Cusco": 0.0, "Porto": 0.0, "Cuenca": 0.0, "Hue": 0.0, "Lagos": 0.0, "Oslo": 1.0, "Quito": 0.0, "Thies": 0.0,...
partial_observation_calibration:train:12
partial_observation_calibration
2
{"prior_probability_incident": "4/5", "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": 0.818182}}
policy_applicability:train:12
policy_applicability
2
{"request": {"subject": {"role": "engineer", "team": "gamma", "clearance": 1}, "resource": {"team": "gamma", "sensitivity": "internal"}, "action": "read"}, "policies": [{"id": "P2", "priority": 4, "effect": "deny", "roles": ["analyst", "manager"], "min_clearance": 1}, {"id": "P4", "priority": 2, "effect": "allow", "rol...
{"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": "P1", "probabilities": {"P1": 1.0, "P2": 0.0, "P3": 0.0, "P4": 0.0, "P5": 0.0}, "confidence": 1.0}, "review_risk": {"type": "score", "score": 0.0, "legend": {"0": "Level 0: the resource is not restricted and the matching ...
policy_under_uncertainty:train:10
policy_under_uncertainty
2
{"request": {"subject": {"role": "unknown", "team": "beta", "clearance": 1}, "resource": {"team": "beta", "sensitivity": "internal"}, "action": "write"}, "role_evidence": {"history": "Of the last 24 requests from this account, 13 by engineers, 11 by managers. No other role has used it.", "reports": [{"source": "intake ...
{"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", "none (default deny)...
{"access_allowed": {"type": "noul", "noul": 0.876404}, "governing_policy": {"type": "choice", "choice": "P2", "probabilities": {"P1": 0.0, "P2": 0.8764044943820225, "P3": 0.0, "P4": 0.0, "none (default deny)": 0.12359550561797752}, "confidence": 0.8764044943820225}, "requester_role": {"type": "choice", "choice": "engin...
record_aggregation:train:15
record_aggregation
2
item | category | quantity | in_stock --- | --- | --- | --- yellow lamp | garden | 5 | False purple tent | office | 8 | False purple chair | kitchen | 1 | True green mug | office | 13 | False black lamp | kitchen | 18 | True orange scarf | outdoor | 3 | False yellow drill | tools | 9 | True blue mug | tools | 8 | True ...
{"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 tools?"}, "largest_quantity": {"type": "choice", "criteria": {"green lamp": "green lamp", "gray clock": "gray clock", "white vase": "white vase", "purple scarf...
{"count_in_category": {"type": "score", "score": 6.0, "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": 1.0, "7": 0.0, "8": 0.0, "9": 0.0}, "confidence": 1.0}, "larges...
state_perturbation:train:21
state_perturbation
2
{"before": [{"id": "R1", "authorized": false, "status": "blocked", "amount": 100, "owner": "alice", "note": "routine", "status_note": "resolved", "amount_quoted": 480, "previous_owner": "unassigned"}, {"id": "R2", "authorized": false, "status": "resolved", "amount": 510, "owner": "alice", "note": "reviewed", "status_no...
{"material_change": {"type": "noul", "instructions": "Did any material field of record R1 change?"}, "changed_dimension": {"type": "choice", "instructions": "Which material dimension of record R1 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...
table_lookup:train:11
table_lookup
2
{"people": [{"name": "Gil", "team": "support", "city": "Dakar", "start_year": 2012}, {"name": "Dara", "team": "search", "city": "Hue", "start_year": 2022}, {"name": "Kofi", "team": "security", "city": "Cuenca", "start_year": 2024}, {"name": "Hugo", "team": "mobile", "city": "Dakar", "start_year": 2022}, {"name": "Ximen...
{"find_person": {"type": "choice", "criteria": {"Kenji": "Kenji", "Bea": "Bea", "Kofi": "Kofi", "Viktor": "Viktor", "Mei": "Mei", "Bruno": "Bruno", "Nils": "Nils", "Freya": "Freya", "Dara": "Dara", "Uma": "Uma", "Hugo": "Hugo", "Gil": "Gil", "Ximena": "Ximena", "Carlos": "Carlos"}, "instructions": "Which person works i...
{"find_person": {"type": "choice", "choice": "Nils", "probabilities": {"Kenji": 0.0, "Bea": 0.0, "Kofi": 0.0, "Viktor": 0.0, "Mei": 0.0, "Bruno": 0.0, "Nils": 1.0, "Freya": 0.0, "Dara": 0.0, "Uma": 0.0, "Hugo": 0.0, "Gil": 0.0, "Ximena": 0.0, "Carlos": 0.0}, "confidence": 1.0}, "manager_of": {"type": "choice", "choice"...
taxonomy_routing:train:8
taxonomy_routing
2
Routing guide (a ticket goes to the category whose conditions it all meets; exactly one does): [{"category": "software/desk-a", "rule": "channel is email and age days at most 60 and tier is plus"}, {"category": "partners/escalations", "rule": "amount at most 200"}, {"category": "onboarding/backlog", "rule": "channel is...
{"route": {"type": "choice", "criteria": {"software/desk-a": "software/desk-a", "partners/escalations": "partners/escalations", "onboarding/backlog": "onboarding/backlog", "billing/desk-a": "billing/desk-a", "shipping/review": "shipping/review", "software/desk-b": "software/desk-b", "compliance/priority": "compliance/p...
{"route": {"type": "choice", "choice": "shipping/backlog", "probabilities": {"software/desk-a": 0.0, "partners/escalations": 0.0, "onboarding/backlog": 0.0, "billing/desk-a": 0.0, "shipping/review": 0.0, "software/desk-b": 0.0, "compliance/priority": 0.0, "shipping/backlog": 1.0, "accounts/escalations": 0.0, "returns/d...
arithmetic:train:25
arithmetic
3
{"opening_balance": 0, "currency": "£", "transactions": [{"day": 1, "type": "withdrawal", "amount": 10}, {"day": 6, "type": "deposit", "amount": 135}, {"day": 7, "type": "deposit", "amount": 175}, {"day": 9, "type": "deposit", "amount": 140}, {"day": 12, "type": "deposit", "amount": 140}, {"day": 19, "type": "withdrawa...
{"withdrawal_count": {"type": "score", "criteria": ["0", "1", "2", "3", "4", "5", "6", "7", "8", "9"], "instructions": "How many withdrawals are there?"}, "net_change": {"type": "score", "criteria": ["Fell by more than 50.", "Changed by 50 or less.", "Rose by more than 50."], "instructions": "From opening to closing, h...
{"withdrawal_count": {"type": "score", "score": 3.0, "legend": {"0": "0", "1": "1", "2": "2", "3": "3", "4": "4", "5": "5", "6": "6", "7": "7", "8": "8", "9": "9"}, "probabilities": {"0": 0.0, "1": 0.0, "2": 0.0, "3": 1.0, "4": 0.0, "5": 0.0, "6": 0.0, "7": 0.0, "8": 0.0, "9": 0.0}, "confidence": 1.0}, "net_change": {"...
entity_belief_tracking:train:12
entity_belief_tracking
3
{"locations": ["lab", "attic", "workshop", "locker", "mailroom", "basement", "cabinet", "archive", "drawer", "studio", "office", "kitchen", "vault", "garage"], "initial_locations": {"item_1": "garage", "item_2": "lab", "item_3": "studio"}, "events": [{"step": 1, "object": "item_2", "destination": "drawer", "witnesses":...
{"world_location": {"type": "choice", "instructions": "Where is item_3 actually located after all events?", "criteria": {"lab": "lab", "attic": "attic", "workshop": "workshop", "locker": "locker", "mailroom": "mailroom", "basement": "basement", "cabinet": "cabinet", "archive": "archive", "drawer": "drawer", "studio": "...
{"world_location": {"type": "choice", "choice": "attic", "probabilities": {"lab": 0.0, "attic": 1.0, "workshop": 0.0, "locker": 0.0, "mailroom": 0.0, "basement": 0.0, "cabinet": 0.0, "archive": 0.0, "drawer": 0.0, "studio": 0.0, "office": 0.0, "kitchen": 0.0, "vault": 0.0, "garage": 0.0}, "confidence": 1.0}, "agent_bel...
event_state_reconstruction:train:26
event_state_reconstruction
3
{"initial_state": {"owner": "carol", "open": true, "severity": "degraded"}, "events": [{"ts": 113, "kind": "severity", "severity": "critical"}, {"ts": 112, "kind": "resolve"}, {"ts": 129, "kind": "reopen"}, {"ts": 170, "kind": "note", "text": "customer update"}, {"ts": 139, "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": "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...
evidence_sufficiency:train:12
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": "S5", "probabilities": {"S1": 0.0, "S2": 0.0, "S3": 0.0, "S4": 0.0, "S5": 1.0, "S6": 0.0, "S7": 0.0, "none": 0.0}, "confidence": 1.0}}
multi_view_adjudication:train:14
multi_view_adjudication
3
{"ticket": {"channel": "email"}, "billing": {"duplicate_charge": false, "invoice_mismatch": false, "refund_missing": false}, "account": {"active": true, "permission_mismatch": false, "tier": "team"}, "telemetry": {"integration_failures": 1, "error_rate_percent": 19}, "timeline": {"deadline_hours": 30, "executive_escala...
{"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": 0.0, "legend": {"0": "Level 0: no affected feature is down or slow.", "1": "Lev...
needle_retrieval:train:15
needle_retrieval
3
[{"id": "B-6330", "office": "Oslo"}, {"id": "B-8493", "office": "Kobe"}, {"id": "B-3623", "office": "Quito"}, {"id": "B-4665", "office": "Oslo"}, {"id": "B-0335", "office": "Darwin"}, {"id": "B-6934", "office": "Osaka"}, {"id": "B-8617", "office": "Oslo"}, {"id": "B-1808", "office": "Sfax"}, {"id": "B-1675", "office": ...
{"value_of_id": {"type": "choice", "criteria": {"Sfax": "Sfax", "Hanoi": "Hanoi", "Accra": "Accra", "Osaka": "Osaka", "Perth": "Perth", "Lagos": "Lagos", "Lima": "Lima", "Oslo": "Oslo", "Dakar": "Dakar", "Darwin": "Darwin"}, "instructions": "What is the office of badge B-9507?"}, "id_has_value": {"type": "noul", "instr...
{"value_of_id": {"type": "choice", "choice": "Sfax", "probabilities": {"Sfax": 1.0, "Hanoi": 0.0, "Accra": 0.0, "Osaka": 0.0, "Perth": 0.0, "Lagos": 0.0, "Lima": 0.0, "Oslo": 0.0, "Dakar": 0.0, "Darwin": 0.0}, "confidence": 1.0}, "id_has_value": {"type": "noul", "noul": 0.0}, "id_listed": {"type": "noul", "noul": 1.0}}
partial_observation_calibration:train:6
partial_observation_calibration
3
{"prior_probability_incident": "2/3", "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": 0.993865}}
policy_applicability:train:2
policy_applicability
3
{"request": {"subject": {"role": "manager", "team": "alpha", "clearance": 1}, "resource": {"team": "gamma", "sensitivity": "restricted"}, "action": "approve"}, "policies": [{"id": "P1", "priority": 8, "effect": "deny", "teams": ["alpha", "gamma"], "min_clearance": 2, "max_sensitivity": "restricted"}, {"id": "P2", "prio...
{"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...
policy_under_uncertainty:train:17
policy_under_uncertainty
3
{"request": {"subject": {"role": "unknown", "team": "beta", "clearance": 0}, "resource": {"team": "alpha", "sensitivity": "internal"}, "action": "read"}, "role_evidence": {"history": "Of the last 57 requests from this account, 19 by analysts, 30 by engineers, 8 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": 0.0}, "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...
record_aggregation:train:19
record_aggregation
3
item,category,quantity,in_stock red chair,tools,17,True blue tent,outdoor,3,True white kettle,office,1,True green drill,garden,6,False black kettle,kitchen,13,True green tent,outdoor,14,True black drill,garden,11,False orange kettle,kitchen,10,True orange clock,outdoor,11,True yellow kettle,outdoor,17,True orange drill...
{"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 outdoor category?"}, "largest_quantity": {"type": "choice", "criteria": {"blue scarf": "blue scarf", "white rope": "white rope", "white lamp": "white lamp", "yellow ...
{"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...
state_perturbation:train:18
state_perturbation
3
{"before": [{"id": "R1", "authorized": false, "status": "blocked", "amount": 490, "owner": "unassigned", "note": "imported", "status_note": "resolved", "amount_quoted": 900, "previous_owner": "alice"}, {"id": "R2", "authorized": false, "status": "open", "amount": 900, "owner": "bob", "note": "reviewed", "status_note": ...
{"material_change": {"type": "noul", "instructions": "Did any material field of record R3 change?"}, "changed_dimension": {"type": "choice", "instructions": "Which material dimension of record R3 changed? Choose none when only non-material fields changed.", "criteria": {"authorization": "authorization", "status": "stat...
{"material_change": {"type": "noul", "noul": 1.0}, "changed_dimension": {"type": "choice", "choice": "status", "probabilities": {"authorization": 0.0, "status": 1.0, "financial": 0.0, "ownership": 0.0, "none": 0.0}, "confidence": 1.0}, "risk_direction": {"type": "score", "score": 2.0, "legend": {"0": "Lower operational...
table_lookup:train:24
table_lookup
3
{"people": [{"name": "Farah", "team": "search", "city": "Darwin", "start_year": 2010}, {"name": "Amir", "team": "support", "city": "Dakar", "start_year": 2024}, {"name": "Goran", "team": "support", "city": "Darwin", "start_year": 2014}, {"name": "Jonas", "team": "billing", "city": "Tunis", "start_year": 2011}, {"name":...
{"find_person": {"type": "choice", "criteria": {"Lucia": "Lucia", "Tariq": "Tariq", "Goran": "Goran", "Dara": "Dara", "Ines": "Ines", "Jae": "Jae", "Ivy": "Ivy", "Ximena": "Ximena", "Chloe": "Chloe", "Dmitri": "Dmitri", "Bea": "Bea", "Amir": "Amir", "Wen": "Wen", "Mei": "Mei", "Bruno": "Bruno", "Jonas": "Jonas", "Kofi"...
{"find_person": {"type": "choice", "choice": "Kofi", "probabilities": {"Lucia": 0.0, "Tariq": 0.0, "Goran": 0.0, "Dara": 0.0, "Ines": 0.0, "Jae": 0.0, "Ivy": 0.0, "Ximena": 0.0, "Chloe": 0.0, "Dmitri": 0.0, "Bea": 0.0, "Amir": 0.0, "Wen": 0.0, "Mei": 0.0, "Bruno": 0.0, "Jonas": 0.0, "Kofi": 1.0, "Farah": 0.0, "Kenji": ...
taxonomy_routing:train:16
taxonomy_routing
3
Routing guide (a ticket goes to the category whose conditions it all meets; exactly one does): [{"category": "compliance/desk-b", "rule": "amount at most 200 and product is camera"}, {"category": "billing/review", "rule": "product is laptop and amount above 50"}, {"category": "accounts/desk-b", "rule": "product is came...
{"route": {"type": "choice", "criteria": {"compliance/desk-b": "compliance/desk-b", "billing/review": "billing/review", "accounts/desk-b": "accounts/desk-b", "software/desk-a": "software/desk-a", "hardware/priority": "hardware/priority", "shipping/review": "shipping/review", "returns/priority": "returns/priority", "onb...
{"route": {"type": "choice", "choice": "shipping/review", "probabilities": {"compliance/desk-b": 0.0, "billing/review": 0.0, "accounts/desk-b": 0.0, "software/desk-a": 0.0, "hardware/priority": 0.0, "shipping/review": 1.0, "returns/priority": 0.0, "onboarding/backlog": 0.0, "security/desk-a": 0.0, "billing/escalations"...
arithmetic:train:6
arithmetic
4
The account opens the month at £70. Day 4: deposit of £185. On day 10, a withdrawal of £170. On day 11, a deposit of £150. Day 15: deposit of £75. Day 19: withdrawal of £165. Day 22: deposit of £215. Day 23: withdrawal of £110. Day 24: withdrawal of £115. On day 26, a withdrawal of £110.
{"random_is_deposit": {"type": "noul", "instructions": "If one transaction is picked uniformly at random, what is the probability that it is a deposit?"}, "net_change": {"type": "score", "criteria": ["Fell by more than 50.", "Changed by 50 or less.", "Rose by more than 50."], "instructions": "From opening to closing, h...
{"random_is_deposit": {"type": "noul", "noul": 0.444444}, "net_change": {"type": "score", "score": 1.0, "legend": {"0": "Fell by more than 50.", "1": "Changed by 50 or less.", "2": "Rose by more than 50."}, "probabilities": {"0": 0.0, "1": 1.0, "2": 0.0}, "confidence": 1.0}, "withdrawal_count": {"type": "score", "score...
entity_belief_tracking:train:16
entity_belief_tracking
4
{"locations": ["lab", "workshop", "desk", "vault"], "initial_locations": {"item_1": "lab", "item_2": "workshop", "item_3": "lab"}, "events": [{"step": 1, "object": "item_3", "destination": "workshop", "witnesses": ["alice", "bob", "carol", "dave"]}, {"step": 2, "object": "item_1", "destination": "desk", "witnesses": ["...
{"world_location": {"type": "choice", "instructions": "Where is item_2 actually located after all events?", "criteria": {"lab": "lab", "workshop": "workshop", "desk": "desk", "vault": "vault"}}, "agent_belief_location": {"type": "choice", "instructions": "Where does dave believe item_2 is after all events?", "criteria"...
{"world_location": {"type": "choice", "choice": "lab", "probabilities": {"lab": 1.0, "workshop": 0.0, "desk": 0.0, "vault": 0.0}, "confidence": 1.0}, "agent_belief_location": {"type": "choice", "choice": "lab", "probabilities": {"lab": 1.0, "workshop": 0.0, "desk": 0.0, "vault": 0.0}, "confidence": 1.0}, "belief_matche...
event_state_reconstruction:train:25
event_state_reconstruction
4
{"initial_state": {"owner": "bob", "open": true, "severity": "degraded"}, "events": [{"ts": 130, "kind": "void", "voids_ts": 117}, {"ts": 135, "kind": "resolve"}, {"ts": 146, "kind": "resolve"}, {"ts": 170, "kind": "resolve"}, {"ts": 109, "kind": "severity", "severity": "routine"}, {"ts": 107, "kind": "resolve"}, {"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": "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...
evidence_sufficiency:train:31
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": "S1", "probabilities": {"S1": 1.0, "S2": 0.0, "S3": 0.0, "S4": 0.0, "S5": 0.0, "S6": 0.0, "S7": 0.0, "S8": 0.0, "S9": 0.0, "S10": 0.0, "S11": 0.0, "none": 0.0}, "con...
multi_view_adjudication:train:17
multi_view_adjudication
4
{"ticket": {"channel": "chat"}, "billing": {"duplicate_charge": false, "invoice_mismatch": false, "refund_missing": false}, "account": {"active": true, "permission_mismatch": false, "tier": "free"}, "telemetry": {"integration_failures": 2, "error_rate_percent": 18}, "timeline": {"now_hour": 106, "due_hour": null, "exec...
{"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": ...
needle_retrieval:train:13
needle_retrieval
4
id,branch A-0826,Sfax A-7517,Tunis A-6155,Quito A-9605,Braga A-5598,Dakar A-9078,Sfax A-7619,Hue A-0624,Perth A-9951,Oslo A-7319,Accra A-9066,Lima A-9038,Dakar A-5207,Porto A-8768,Braga A-0253,Cusco A-6552,Kobe A-6166,Thies A-0165,Lima A-8131,Perth A-6526,Hue A-3294,Oslo A-8629,Darwin A-9745,Accra A-2754,Braga A-2347,L...
{"value_of_id": {"type": "choice", "criteria": {"Cuenca": "Cuenca", "Bergen": "Bergen", "Hue": "Hue", "Lagos": "Lagos", "Oslo": "Oslo", "Porto": "Porto", "Cusco": "Cusco", "Dakar": "Dakar", "Perth": "Perth", "Quito": "Quito", "Sfax": "Sfax", "Kobe": "Kobe"}, "instructions": "Which branch is listed for account A-0329?"}...
{"value_of_id": {"type": "choice", "choice": "Sfax", "probabilities": {"Cuenca": 0.0, "Bergen": 0.0, "Hue": 0.0, "Lagos": 0.0, "Oslo": 0.0, "Porto": 0.0, "Cusco": 0.0, "Dakar": 0.0, "Perth": 0.0, "Quito": 0.0, "Sfax": 1.0, "Kobe": 0.0}, "confidence": 1.0}, "id_has_value": {"type": "noul", "noul": 1.0}, "id_listed": {"t...
partial_observation_calibration:train:17
partial_observation_calibration
4
{"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": "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": 0.627907}}
policy_applicability:train:35
policy_applicability
4
{"request": {"subject": {"role": "analyst", "team": "beta", "clearance": 0}, "resource": {"team": "beta", "sensitivity": "restricted"}, "action": "read"}, "policies": [{"id": "P2", "priority": 13, "effect": "deny", "roles": ["analyst"], "teams": ["alpha", "gamma"], "min_clearance": 0, "actions": ["write", "approve"], "...
{"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": "P14", "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": 0.0, "P14": 1.0}, "confidence": 1.0}, "review_risk": {...
policy_under_uncertainty:train:14
policy_under_uncertainty
4
{"request": {"subject": {"role": "unknown", "team": "beta", "clearance": 2}, "resource": {"team": "gamma", "sensitivity": "internal"}, "action": "read"}, "role_evidence": {"history": "Of the last 51 requests from this account, 13 by analysts, 26 by engineers, 12 by managers. No other role has used it.", "reports": [{"s...
{"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...
record_aggregation:train:7
record_aggregation
4
item | category | quantity | in_stock --- | --- | --- | --- brown vase | garden | 7 | False black scarf | garden | 7 | True green rope | office | 20 | False gray clock | tools | 4 | False orange chair | garden | 12 | True purple scarf | garden | 3 | True white lamp | office | 11 | True yellow chair | outdoor | 16 | Fal...
{"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 kitchen?"}, "largest_quantity": {"type": "choice", "criteria": {"yellow clock": "yellow clock", "gray mug": "gray mug", "orange mug": "orange mug", "yellow vas...
{"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...
state_perturbation:train:10
state_perturbation
4
{"before": [{"id": "R1", "authorized": false, "status": "blocked", "amount": 460, "owner": "alice", "note": "reviewed", "status_note": "open", "amount_quoted": 460, "previous_owner": "bob"}, {"id": "R2", "authorized": true, "status": "open", "amount": 500, "owner": "bob", "note": "routine", "status_note": "resolved", "...
{"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": 0.0, "legend": {"0": "Lower operational r...
table_lookup:train:14
table_lookup
4
people: name,team,city,start_year Malik,data,Bergen,2010 Chloe,data,Cuenca,2013 Sven,security,Bergen,2020 Dmitri,security,Perth,2016 Ada,data,Bergen,2009 Lena,security,Bergen,2012 Yusuf,data,Perth,2022 Emeka,billing,Perth,2018 Ivy,mobile,Bergen,2009 Zoe,billing,Cuenca,2017 Lucia,support,Perth,2011 Wen,mobile,Perth,2023...
{"find_person": {"type": "choice", "criteria": {"Uma": "Uma", "Priya": "Priya", "Yusuf": "Yusuf", "Ivy": "Ivy", "Malik": "Malik", "Jae": "Jae", "Zoe": "Zoe", "Gil": "Gil", "Elif": "Elif", "Ada": "Ada", "Emeka": "Emeka", "Dmitri": "Dmitri", "Sven": "Sven", "Chloe": "Chloe", "Lucia": "Lucia", "Viktor": "Viktor", "Nils": ...
{"find_person": {"type": "choice", "choice": "Ada", "probabilities": {"Uma": 0.0, "Priya": 0.0, "Yusuf": 0.0, "Ivy": 0.0, "Malik": 0.0, "Jae": 0.0, "Zoe": 0.0, "Gil": 0.0, "Elif": 0.0, "Ada": 1.0, "Emeka": 0.0, "Dmitri": 0.0, "Sven": 0.0, "Chloe": 0.0, "Lucia": 0.0, "Viktor": 0.0, "Nils": 0.0, "Lena": 0.0}, "confidence...
taxonomy_routing:train:12
taxonomy_routing
4
Routing guide (a ticket goes to the category whose conditions it all meets; exactly one does): category | rule --- | --- onboarding/intake | age days at most 30 and region is north and tier is free and channel is email onboarding/desk-b | amount at most 100 and age days at most 7 and tier is plus onboarding/specialists...
{"route": {"type": "choice", "criteria": {"onboarding/intake": "onboarding/intake", "onboarding/desk-b": "onboarding/desk-b", "onboarding/specialists": "onboarding/specialists", "billing/desk-b": "billing/desk-b", "partners/intake": "partners/intake", "shipping/specialists": "shipping/specialists", "security/escalation...
{"route": {"type": "choice", "choice": "compliance/desk-a", "probabilities": {"onboarding/intake": 0.0, "onboarding/desk-b": 0.0, "onboarding/specialists": 0.0, "billing/desk-b": 0.0, "partners/intake": 0.0, "shipping/specialists": 0.0, "security/escalations": 0.0, "hardware/backlog": 0.0, "software/priority": 0.0, "pa...
arithmetic:train:12
arithmetic
0
Opening balance: $25 day,type,amount 4,deposit,15 11,withdrawal,15 16,deposit,30
{"withdrawal_count": {"type": "score", "criteria": ["0", "1", "2", "3", "4", "5", "6", "7", "8", "9"], "instructions": "How many withdrawals are there?"}, "final_balance": {"type": "choice", "criteria": {"$55": "$55", "$56": "$56", "$65": "$65", "$70": "$70", "$85": "$85"}, "instructions": "What is the balance after th...
{"withdrawal_count": {"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"}, "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}, "final_balance":...
entity_belief_tracking:train:19
entity_belief_tracking
0
{"locations": ["studio", "lab", "drawer", "garage", "locker"], "initial_locations": {"item_1": "locker"}, "events": [{"step": 1, "object": "item_1", "destination": "lab", "witnesses": ["alice", "bob"]}, {"step": 2, "object": "item_1", "destination": "garage", "witnesses": ["alice", "bob"]}, {"step": 3, "object": "item_...
{"world_location": {"type": "choice", "instructions": "Where is item_1 actually located after all events?", "criteria": {"studio": "studio", "lab": "lab", "drawer": "drawer", "garage": "garage", "locker": "locker"}}, "agent_belief_location": {"type": "choice", "instructions": "Where does bob believe item_1 is after all...
{"world_location": {"type": "choice", "choice": "drawer", "probabilities": {"studio": 0.0, "lab": 0.0, "drawer": 1.0, "garage": 0.0, "locker": 0.0}, "confidence": 1.0}, "agent_belief_location": {"type": "choice", "choice": "drawer", "probabilities": {"studio": 0.0, "lab": 0.0, "drawer": 1.0, "garage": 0.0, "locker": 0....
event_state_reconstruction:train:18
event_state_reconstruction
0
{"initial_state": {"owner": "bob", "open": true, "severity": "routine"}, "events": [{"ts": 106, "kind": "note", "text": "ack"}, {"ts": 109, "kind": "reopen"}, {"ts": 113, "kind": "assign", "owner": "alice"}, {"ts": 116, "kind": "reopen"}], "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": "alice", "probabilities": {"alice": 1.0, "bob": 0.0, "carol": 0.0, "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...
evidence_sufficiency:train:7
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": "S2", "probabilities": {"S1": 0.0, "S2": 1.0, "S3": 0.0, "none": 0.0}, "confidence": 1.0}}
multi_view_adjudication:train:30
multi_view_adjudication
0
{"ticket": {"channel": "chat"}, "billing": {"duplicate_charge": false, "invoice_mismatch": false, "refund_missing": false}, "account": {"active": true, "auth_failures": 1, "permission_mismatch": false, "tier": "free"}, "telemetry": {"integration_failures": 1, "error_rate_percent": 20}, "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": "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": 1.0, "legend": {"0": "Level 0: no affected feature is down or slow.", "1": ...