id stringlengths 18 43 | task stringclasses 13
values | level int64 0 4 | state stringlengths 70 14.2k | questions stringlengths 162 2.86k | answers stringlengths 48 1.88k |
|---|---|---|---|---|---|
needle_retrieval:train:38 | needle_retrieval | 0 | id=L-2670; city=Lagos
id=L-1043; city=Braga
id=L-3224; city=Kobe
id=L-2709; city=Hanoi
id=L-2705; city=Tunis
id=L-2105; city=Hanoi
id=L-2702; city=Porto | {"value_of_id": {"type": "choice", "criteria": {"Hue": "Hue", "Thies": "Thies", "Hanoi": "Hanoi", "Accra": "Accra", "Lima": "Lima", "Tunis": "Tunis", "Darwin": "Darwin", "Perth": "Perth", "Lagos": "Lagos", "Porto": "Porto", "Dakar": "Dakar"}, "instructions": "Which city is listed for locker L-2705?"}, "id_has_value": {... | {"value_of_id": {"type": "choice", "choice": "Tunis", "probabilities": {"Hue": 0.0, "Thies": 0.0, "Hanoi": 0.0, "Accra": 0.0, "Lima": 0.0, "Tunis": 1.0, "Darwin": 0.0, "Perth": 0.0, "Lagos": 0.0, "Porto": 0.0, "Dakar": 0.0}, "confidence": 1.0}, "id_has_value": {"type": "noul", "noul": 1.0}, "id_listed": {"type": "noul"... |
partial_observation_calibration:train:16 | 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": "positive", "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": 0.333333}} |
policy_applicability:train:22 | policy_applicability | 0 | {"request": {"subject": {"role": "manager", "team": "beta", "clearance": 1}, "resource": {"team": "beta", "sensitivity": "internal"}, "action": "read"}, "policies": [{"id": "P1", "priority": 3, "effect": "deny", "roles": ["engineer"]}, {"id": "P2", "priority": 2, "effect": "deny", "actions": ["read"]}, {"id": "P3", "pr... | {"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": "P2", "probabilities": {"P1": 0.0, "P2": 1.0, "P3": 0.0}, "confidence": 1.0}, "review_risk": {"type": "score", "score": 2.0, "legend": {"0": "Level 0: the resource is not restricted and the matching policies agree on effe... |
policy_under_uncertainty:train:20 | policy_under_uncertainty | 0 | {"request": {"subject": {"role": "unknown", "team": "gamma", "clearance": 2}, "resource": {"team": "gamma", "sensitivity": "public"}, "action": "write"}, "role_evidence": {"history": "Of the last 46 requests from this account, 29 by engineers, 17 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", "none (default deny)": "none (de... | {"access_allowed": {"type": "noul", "noul": 0.12782}, "governing_policy": {"type": "choice", "choice": "P2", "probabilities": {"P1": 0.12781954887218044, "P2": 0.8721804511278195, "P3": 0.0, "none (default deny)": 0.0}, "confidence": 0.8721804511278195}, "requester_role": {"type": "choice", "choice": "engineer", "proba... |
record_aggregation:train:13 | record_aggregation | 0 | item=blue kettle; category=garden; quantity=15; in_stock=False
item=purple vase; category=kitchen; quantity=19; in_stock=False
item=red mug; category=tools; quantity=1; in_stock=True
item=gray tent; category=kitchen; quantity=17; in_stock=True
item=gray rope; category=kitchen; quantity=17; in_stock=False | {"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 office category?"}, "largest_quantity": {"type": "choice", "criteria": {"purple vase": "purple vase", "gray rope": "gray rope", "gray tent": "gray tent", "red mug": ... | {"count_in_category": {"type": "score", "score": 0.0, "legend": {"0": "0", "1": "1", "2": "2", "3": "3", "4": "4", "5": "5", "6": "6", "7": "7", "8": "8", "9": "9 or more"}, "probabilities": {"0": 1.0, "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": 0.0}, "confidence": 1.0}, "larges... |
state_perturbation:train:16 | state_perturbation | 0 | {"before": [{"id": "R1", "authorized": true, "status": "open", "amount": 900, "owner": "bob", "note": "imported"}], "after": [{"id": "R1", "authorized": true, "status": "blocked", "amount": 900, "owner": "bob", "note": "routine"}], "materiality": "Material fields are authorized, status, amount, and owner; every other f... | {"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": "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:13 | table_lookup | 0 | people:
name | team | city | start_year
--- | --- | --- | ---
Dara | search | Darwin | 2009
Goran | billing | Darwin | 2023
Malik | search | Quito | 2012
Ines | mobile | Lima | 2021
Nils | support | Darwin | 2011
Jonas | support | Quito | 2014
Wen | data | Hanoi | 2011
teams:
team | manager
--- | ---
billing | Emeka
s... | {"find_person": {"type": "choice", "criteria": {"Goran": "Goran", "Wen": "Wen", "Nils": "Nils", "Dara": "Dara", "Ines": "Ines", "Malik": "Malik", "Jonas": "Jonas"}, "instructions": "Who is on the mobile team and based in Lima?"}, "manager_of": {"type": "choice", "criteria": {"Emeka": "Emeka", "Lena": "Lena", "Viktor": ... | {"find_person": {"type": "choice", "choice": "Ines", "probabilities": {"Goran": 0.0, "Wen": 0.0, "Nils": 0.0, "Dara": 0.0, "Ines": 1.0, "Malik": 0.0, "Jonas": 0.0}, "confidence": 1.0}, "manager_of": {"type": "choice", "choice": "Viktor", "probabilities": {"Emeka": 0.0, "Lena": 0.0, "Viktor": 1.0, "Jae": 0.0, "Hana": 0.... |
taxonomy_routing:train:7 | taxonomy_routing | 0 | Routing guide (a ticket goes to the category whose conditions it all meets; exactly one does):
category | rule
--- | ---
shipping/desk-b | region is east
hardware/desk-a | channel is chat
onboarding/priority | issue is refund
software/desk-a | tier is free
hardware/review | channel is email
Ticket: product: tablet; is... | {"route": {"type": "choice", "criteria": {"shipping/desk-b": "shipping/desk-b", "hardware/desk-a": "hardware/desk-a", "onboarding/priority": "onboarding/priority", "software/desk-a": "software/desk-a", "hardware/review": "hardware/review"}, "instructions": "Where does the routing guide send this ticket?"}, "belongs_to"... | {"route": {"type": "choice", "choice": "hardware/review", "probabilities": {"shipping/desk-b": 0.0, "hardware/desk-a": 0.0, "onboarding/priority": 0.0, "software/desk-a": 0.0, "hardware/review": 1.0}, "confidence": 1.0}, "belongs_to": {"type": "noul", "noul": 0.0}, "conditions_met": {"type": "score", "score": 0.0, "leg... |
arithmetic:train:15 | arithmetic | 1 | Order lines (prices in $):
item | unit_price | quantity
--- | --- | ---
mug | 35 | 2
lamp | 31 | 1
drill | 27 | 2
Rule: Orders of $175 or more get $15 off; smaller orders pay $8 shipping. | {"random_line_bulk": {"type": "noul", "instructions": "If one order line is picked uniformly at random, what is the probability that its quantity is at least 2?"}, "amount_due": {"type": "choice", "criteria": {"$109": "$109", "$128": "$128", "$140": "$140", "$163": "$163", "$173": "$173"}, "instructions": "After applyi... | {"random_line_bulk": {"type": "noul", "noul": 0.666667}, "amount_due": {"type": "choice", "choice": "$163", "probabilities": {"$109": 0.0, "$128": 0.0, "$140": 0.0, "$163": 1.0, "$173": 0.0}, "confidence": 1.0}, "lines_above": {"type": "score", "score": 2.0, "legend": {"0": "0", "1": "1", "2": "2", "3": "3", "4": "4", ... |
entity_belief_tracking:train:9 | entity_belief_tracking | 1 | {"locations": ["vault", "mailroom", "cabinet", "garage", "attic", "desk"], "initial_locations": {"item_1": "attic", "item_2": "vault"}, "events": [{"step": 1, "object": "item_1", "destination": "vault", "witnesses": ["alice", "bob"]}, {"step": 2, "object": "item_1", "destination": "garage", "witnesses": ["alice", "bob"... | {"world_location": {"type": "choice", "instructions": "Where is item_1 actually located after all events?", "criteria": {"vault": "vault", "mailroom": "mailroom", "cabinet": "cabinet", "garage": "garage", "attic": "attic", "desk": "desk"}}, "agent_belief_location": {"type": "choice", "instructions": "Where does bob bel... | {"world_location": {"type": "choice", "choice": "vault", "probabilities": {"vault": 1.0, "mailroom": 0.0, "cabinet": 0.0, "garage": 0.0, "attic": 0.0, "desk": 0.0}, "confidence": 1.0}, "agent_belief_location": {"type": "choice", "choice": "garage", "probabilities": {"vault": 0.0, "mailroom": 0.0, "cabinet": 0.0, "garag... |
event_state_reconstruction:train:15 | event_state_reconstruction | 1 | {"initial_state": {"owner": "alice", "open": true, "severity": "critical"}, "events": [{"ts": 104, "kind": "assign", "owner": "carol"}, {"ts": 109, "kind": "note", "text": "triage"}, {"ts": 110, "kind": "severity", "severity": "routine"}, {"ts": 117, "kind": "assign", "owner": "bob"}, {"ts": 123, "kind": "assign", "own... | {"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:13 | evidence_sufficiency | 1 | {"claim": "The deployment is sufficiently supported as the cause of the incident.", "rules": ["Support is sufficient only with at least two independent valid supporting origins and no valid contradictory origin. Duplicates from one origin count once.", "Evidence with valid=false is invalid.", "Break reliability ties by... | {"claim_supported": {"type": "noul", "instructions": "Following the stated rules, is the claim sufficiently supported?"}, "has_conflict": {"type": "noul", "instructions": "Is there at least one valid supporting origin and at least one valid contradictory origin?"}, "strongest_support_origin": {"type": "choice", "instru... | {"claim_supported": {"type": "noul", "noul": 0.0}, "has_conflict": {"type": "noul", "noul": 1.0}, "strongest_support_origin": {"type": "choice", "choice": "S1", "probabilities": {"S1": 1.0, "S2": 0.0, "S3": 0.0, "S4": 0.0, "none": 0.0}, "confidence": 1.0}} |
multi_view_adjudication:train:5 | multi_view_adjudication | 1 | {"ticket": {"channel": "chat"}, "billing": {"duplicate_charge": false, "invoice_mismatch": false, "refund_missing": false}, "account": {"active": true, "auth_failures": 1, "permission_mismatch": true, "tier": "free"}, "telemetry": {"integration_failures": 0, "error_rate_percent": 35}, "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": 1.0, "legend": {"0": "Level 0: no affected feature is down or slow.", "1": "Le... |
needle_retrieval:train:7 | needle_retrieval | 1 | [{"id": "S-8952", "destination": "Lima"}, {"id": "S-0576", "destination": "Darwin"}, {"id": "S-0716", "destination": "Quito"}, {"id": "S-4629", "destination": "Kobe"}, {"id": "S-1756", "destination": "Hanoi"}, {"id": "S-7413", "destination": "Bergen"}, {"id": "S-1607", "destination": "Lagos"}, {"id": "S-0883", "destina... | {"value_of_id": {"type": "choice", "criteria": {"Cuenca": "Cuenca", "Lima": "Lima", "Porto": "Porto", "Kobe": "Kobe", "Perth": "Perth", "Tunis": "Tunis", "Lagos": "Lagos", "Oslo": "Oslo", "Cusco": "Cusco", "Hanoi": "Hanoi", "Quito": "Quito", "Braga": "Braga", "Bergen": "Bergen", "Dakar": "Dakar", "Osaka": "Osaka"}, "in... | {"value_of_id": {"type": "choice", "choice": "Cuenca", "probabilities": {"Cuenca": 1.0, "Lima": 0.0, "Porto": 0.0, "Kobe": 0.0, "Perth": 0.0, "Tunis": 0.0, "Lagos": 0.0, "Oslo": 0.0, "Cusco": 0.0, "Hanoi": 0.0, "Quito": 0.0, "Braga": 0.0, "Bergen": 0.0, "Dakar": 0.0, "Osaka": 0.0}, "confidence": 1.0}, "id_has_value": {... |
partial_observation_calibration:train:9 | partial_observation_calibration | 1 | {"prior_probability_incident": "1/3", "assumption": "Sensor observations are conditionally independent given whether the incident is real.", "sensors": [{"id": "S1", "observed": "negative", "p_positive_given_incident": "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": 0.020408}} |
policy_applicability:train:16 | policy_applicability | 1 | {"request": {"subject": {"role": "engineer", "team": "beta", "clearance": 1}, "resource": {"team": "gamma", "sensitivity": "internal"}, "action": "approve"}, "policies": [{"id": "P1", "priority": 4, "effect": "allow", "roles": ["analyst", "manager"], "min_clearance": 1}, {"id": "P2", "priority": 3, "effect": "allow", "... | {"access_allowed": {"type": "noul", "instructions": "Does the governing policy allow the requested action?"}, "governing_policy": {"type": "choice", "instructions": "Which policy governs the request, i.e. has the highest priority among the policies whose constraints all hold?", "criteria": {"P1": "P1", "P2": "P2", "P3"... | {"access_allowed": {"type": "noul", "noul": 0.0}, "governing_policy": {"type": "choice", "choice": "P4", "probabilities": {"P1": 0.0, "P2": 0.0, "P3": 0.0, "P4": 1.0}, "confidence": 1.0}, "review_risk": {"type": "score", "score": 0.0, "legend": {"0": "Level 0: the resource is not restricted and the matching policies ag... |
policy_under_uncertainty:train:16 | policy_under_uncertainty | 1 | {"request": {"subject": {"role": "unknown", "team": "beta", "clearance": 1}, "resource": {"team": "alpha", "sensitivity": "internal"}, "action": "write"}, "role_evidence": {"history": "Of the last 67 requests from this account, 19 by analysts, 29 by engineers, 19 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": 0.233871}, "governing_policy": {"type": "choice", "choice": "none (default deny)", "probabilities": {"P1": 0.0, "P2": 0.23387096774193547, "P3": 0.0, "none (default deny)": 0.7661290322580645}, "confidence": 0.7661290322580645}, "requester_role": {"type": "choice", "choice": ... |
record_aggregation:train:25 | record_aggregation | 1 | item | category | quantity | in_stock
--- | --- | --- | ---
green rope | garden | 8 | True
blue drill | kitchen | 15 | False
yellow vase | garden | 19 | False
gray tent | kitchen | 13 | False
orange drill | kitchen | 4 | False
purple kettle | tools | 14 | True
blue clock | outdoor | 2 | True
brown vase | tools | 11 | T... | {"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 garden?"}, "largest_quantity": {"type": "choice", "criteria": {"green rope": "green rope", "gray tent": "gray tent", "blue drill": "blue drill", "orange drill"... | {"count_in_category": {"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 or more"}, "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}, "larges... |
state_perturbation:train:6 | state_perturbation | 1 | {"before": [{"id": "R1", "authorized": true, "status": "resolved", "amount": 900, "owner": "alice", "note": "reviewed"}, {"id": "R2", "authorized": true, "status": "resolved", "amount": 250, "owner": "alice", "note": "reviewed"}], "after": [{"id": "R1", "authorized": false, "status": "resolved", "amount": 900, "owner":... | {"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": "authorization", "probabilities": {"authorization": 1.0, "status": 0.0, "financial": 0.0, "ownership": 0.0, "none": 0.0}, "confidence": 1.0}, "risk_direction": {"type": "score", "score": 2.0, "legend": {"0": "Lower oper... |
table_lookup:train:8 | table_lookup | 1 | people:
name,team,city,start_year
Ada,security,Perth,2023
Ximena,security,Perth,2024
Kenji,mobile,Thies,2013
Uma,billing,Perth,2016
Freya,security,Thies,2013
Yusuf,support,Lagos,2010
Dara,support,Sfax,2023
Wen,support,Thies,2012
Mei,security,Thies,2010
Ivy,search,Thies,2021
Elif,support,Perth,2012
teams:
team,manager
... | {"find_person": {"type": "choice", "criteria": {"Freya": "Freya", "Ximena": "Ximena", "Yusuf": "Yusuf", "Ada": "Ada", "Elif": "Elif", "Uma": "Uma", "Dara": "Dara", "Mei": "Mei", "Kenji": "Kenji", "Wen": "Wen", "Ivy": "Ivy"}, "instructions": "Who is on the billing team and based in Perth?"}, "manager_of": {"type": "choi... | {"find_person": {"type": "choice", "choice": "Uma", "probabilities": {"Freya": 0.0, "Ximena": 0.0, "Yusuf": 0.0, "Ada": 0.0, "Elif": 0.0, "Uma": 1.0, "Dara": 0.0, "Mei": 0.0, "Kenji": 0.0, "Wen": 0.0, "Ivy": 0.0}, "confidence": 1.0}, "manager_of": {"type": "choice", "choice": "Emeka", "probabilities": {"Hana": 0.0, "Qu... |
taxonomy_routing:train:25 | taxonomy_routing | 1 | Routing guide (a ticket goes to the category whose conditions it all meets; exactly one does):
category=onboarding/escalations; rule=age days above 60 and amount at most 100
category=onboarding/desk-a; rule=age days at most 30 and product is laptop
category=accounts/escalations; rule=age days above 60 and issue is defe... | {"route": {"type": "choice", "criteria": {"onboarding/escalations": "onboarding/escalations", "onboarding/desk-a": "onboarding/desk-a", "accounts/escalations": "accounts/escalations", "software/desk-b": "software/desk-b", "returns/desk-a": "returns/desk-a", "partners/specialists": "partners/specialists", "partners/esca... | {"route": {"type": "choice", "choice": "security/intake", "probabilities": {"onboarding/escalations": 0.0, "onboarding/desk-a": 0.0, "accounts/escalations": 0.0, "software/desk-b": 0.0, "returns/desk-a": 0.0, "partners/specialists": 0.0, "partners/escalations": 0.0, "security/intake": 1.0}, "confidence": 1.0}, "belongs... |
arithmetic:train:21 | arithmetic | 2 | {"currency": "$", "lines": [{"item": "rope", "unit_price": 5, "quantity": 2}, {"item": "drill", "unit_price": 31, "quantity": 4}, {"item": "mug", "unit_price": 45, "quantity": 4}, {"item": "vase", "unit_price": 10, "quantity": 4}, {"item": "kettle", "unit_price": 13, "quantity": 2}, {"item": "tent", "unit_price": 26, "... | {"random_line_bulk": {"type": "noul", "instructions": "What is the chance that a randomly chosen line orders 4 or more units?"}, "lines_above": {"type": "score", "criteria": ["0", "1", "2", "3", "4", "5", "6", "7", "8", "9"], "instructions": "How many lines cost more than $40 in total?"}, "largest_line": {"type": "choi... | {"random_line_bulk": {"type": "noul", "noul": 0.5}, "lines_above": {"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, "... |
entity_belief_tracking:train:37 | entity_belief_tracking | 2 | {"locations": ["kitchen", "desk", "lab", "studio", "workshop", "cabinet", "attic", "basement", "drawer", "locker", "mailroom", "garage", "shelf", "office", "vault"], "initial_locations": {"item_1": "studio", "item_2": "office"}, "events": [{"step": 1, "object": "item_2", "destination": "drawer", "witnesses": ["alice", ... | {"world_location": {"type": "choice", "instructions": "Where is item_2 actually located after all events?", "criteria": {"kitchen": "kitchen", "desk": "desk", "lab": "lab", "studio": "studio", "workshop": "workshop", "cabinet": "cabinet", "attic": "attic", "basement": "basement", "drawer": "drawer", "locker": "locker",... | {"world_location": {"type": "choice", "choice": "basement", "probabilities": {"kitchen": 0.0, "desk": 0.0, "lab": 0.0, "studio": 0.0, "workshop": 0.0, "cabinet": 0.0, "attic": 0.0, "basement": 1.0, "drawer": 0.0, "locker": 0.0, "mailroom": 0.0, "garage": 0.0, "shelf": 0.0, "office": 0.0, "vault": 0.0}, "confidence": 1.... |
event_state_reconstruction:train:6 | event_state_reconstruction | 2 | {"initial_state": {"owner": "carol", "open": true, "severity": "routine"}, "events": [{"ts": 102, "kind": "assign", "owner": "bob"}, {"ts": 114, "kind": "assign", "owner": "alice"}, {"ts": 107, "kind": "assign", "owner": "unassigned"}, {"ts": 106, "kind": "note", "text": "triage"}, {"ts": 104, "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": "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": 2.0, "legend": {"0": "routine: Routine.", "1": "degraded: Degraded service re... |
evidence_sufficiency:train:21 | evidence_sufficiency | 2 | {"claim": "The deployment is sufficiently supported as the cause of the incident.", "rules": ["Support is sufficient only with at least two independent valid supporting origins and no valid contradictory origin. Duplicates from one origin count once.", "Evidence with valid=false is invalid.", "A retraction makes the ev... | {"claim_supported": {"type": "noul", "instructions": "Following the stated rules, is the claim sufficiently supported?"}, "has_conflict": {"type": "noul", "instructions": "Is there at least one valid supporting origin and at least one valid contradictory origin?"}, "strongest_support_origin": {"type": "choice", "instru... | {"claim_supported": {"type": "noul", "noul": 0.0}, "has_conflict": {"type": "noul", "noul": 1.0}, "strongest_support_origin": {"type": "choice", "choice": "S4", "probabilities": {"S1": 0.0, "S2": 0.0, "S3": 0.0, "S4": 1.0, "S5": 0.0, "none": 0.0}, "confidence": 1.0}} |
multi_view_adjudication:train:18 | multi_view_adjudication | 2 | {"ticket": {"channel": "api"}, "billing": {"duplicate_charge": true, "invoice_mismatch": false, "refund_missing": false}, "account": {"active": true, "auth_failures": 2, "permission_mismatch": false, "tier": "free"}, "telemetry": {"integration_failures": 2, "error_rate_percent": 15}, "timeline": {"deadline_hours": 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": 2.0, "legend": {"0": "Level 0: no affected feature is down or slow.", "1": "L... |
needle_retrieval:train:22 | needle_retrieval | 2 | The badge B-6633 has office Perth. The badge B-3584 has office Thies. The badge B-9243 has office Quito. The badge B-0935 has office Perth. The badge B-5500 has office Hue. The badge B-6782 has office Cusco. The badge B-6569 has office Tunis. The badge B-9984 has office Dakar. The badge B-1413 has office Bergen. The ba... | {"value_of_id": {"type": "choice", "criteria": {"Oslo": "Oslo", "Thies": "Thies", "Bergen": "Bergen", "Cusco": "Cusco", "Cuenca": "Cuenca", "Accra": "Accra", "Darwin": "Darwin", "Porto": "Porto"}, "instructions": "What is the office of badge B-3481?"}, "id_has_value": {"type": "noul", "instructions": "Does badge B-3481... | {"value_of_id": {"type": "choice", "choice": "Oslo", "probabilities": {"Oslo": 1.0, "Thies": 0.0, "Bergen": 0.0, "Cusco": 0.0, "Cuenca": 0.0, "Accra": 0.0, "Darwin": 0.0, "Porto": 0.0}, "confidence": 1.0}, "id_has_value": {"type": "noul", "noul": 1.0}, "id_listed": {"type": "noul", "noul": 0.0}} |
partial_observation_calibration:train:13 | partial_observation_calibration | 2 | {"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": "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": 0.857143}} |
policy_applicability:train:13 | policy_applicability | 2 | {"request": {"subject": {"role": "manager", "team": "beta", "clearance": 0}, "resource": {"team": "beta", "sensitivity": "internal"}, "action": "read"}, "policies": [{"id": "P3", "priority": 4, "effect": "deny", "roles": ["analyst", "engineer"], "teams": ["beta"], "min_clearance": 0, "actions": ["write"]}, {"id": "P1",... | {"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}, "confidence": 1.0}, "review_risk": {"type": "score", "score": 0.0, "legend": {"0": "Level 0: the resource is not restricted and th... |
policy_under_uncertainty:train:11 | policy_under_uncertainty | 2 | {"request": {"subject": {"role": "unknown", "team": "alpha", "clearance": 2}, "resource": {"team": "gamma", "sensitivity": "internal"}, "action": "write"}, "role_evidence": {"history": "Of the last 36 requests from this account, 15 by analysts, 8 by engineers, 13 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", "none (d... | {"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, "none (default deny)": 1.0}, "confidence": 1.0}, "requester_role": {"type": "choice", "choice": "engineer", "probabilities": ... |
record_aggregation:train:20 | record_aggregation | 2 | item=brown kettle; category=tools; quantity=19; in_stock=True
item=black tent; category=kitchen; quantity=13; in_stock=True
item=gray lamp; category=tools; quantity=15; in_stock=False
item=brown rope; category=garden; quantity=13; in_stock=True
item=red tent; category=kitchen; quantity=13; in_stock=True
item=white rope... | {"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 tent": "yellow tent", "red tent": "red tent", "brown kettle": "brown kettle", "white cl... | {"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:26 | state_perturbation | 2 | {"before": [{"id": "R1", "authorized": true, "status": "open", "amount": 450, "owner": "unassigned", "note": "reviewed", "status_note": "blocked", "amount_quoted": 900, "previous_owner": "alice"}, {"id": "R2", "authorized": true, "status": "resolved", "amount": 500, "owner": "alice", "note": "reviewed", "status_note": ... | {"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": "financial", "probabilities": {"authorization": 0.0, "status": 0.0, "financial": 1.0, "ownership": 0.0, "none": 0.0}, "confidence": 1.0}, "risk_direction": {"type": "score", "score": 2.0, "legend": {"0": "Lower operatio... |
table_lookup:train:16 | table_lookup | 2 | {"people": [{"name": "Ines", "team": "support", "city": "Porto", "start_year": 2016}, {"name": "Rosa", "team": "support", "city": "Porto", "start_year": 2012}, {"name": "Emeka", "team": "data", "city": "Cuenca", "start_year": 2016}, {"name": "Tariq", "team": "data", "city": "Cuenca", "start_year": 2014}, {"name": "Mei"... | {"find_person": {"type": "choice", "criteria": {"Elif": "Elif", "Tariq": "Tariq", "Mei": "Mei", "Emeka": "Emeka", "Bea": "Bea", "Goran": "Goran", "Jonas": "Jonas", "Rosa": "Rosa", "Ivy": "Ivy", "Ines": "Ines", "Carlos": "Carlos", "Uma": "Uma", "Amir": "Amir"}, "instructions": "Which person works in Cuenca on the team m... | {"find_person": {"type": "choice", "choice": "Carlos", "probabilities": {"Elif": 0.0, "Tariq": 0.0, "Mei": 0.0, "Emeka": 0.0, "Bea": 0.0, "Goran": 0.0, "Jonas": 0.0, "Rosa": 0.0, "Ivy": 0.0, "Ines": 0.0, "Carlos": 1.0, "Uma": 0.0, "Amir": 0.0}, "confidence": 1.0}, "manager_of": {"type": "choice", "choice": "Ada", "prob... |
taxonomy_routing:train:11 | taxonomy_routing | 2 | Routing guide (a ticket goes to the category whose conditions it all meets; exactly one does):
category | rule
--- | ---
software/specialists | region is east
hardware/intake | region is east and age days above 60
onboarding/intake | region is east and tier is plus
accounts/specialists | region is south
accounts/intake... | {"route": {"type": "choice", "criteria": {"software/specialists": "software/specialists", "hardware/intake": "hardware/intake", "onboarding/intake": "onboarding/intake", "accounts/specialists": "accounts/specialists", "accounts/intake": "accounts/intake", "software/escalations": "software/escalations", "accounts/escala... | {"route": {"type": "choice", "choice": "software/specialists", "probabilities": {"software/specialists": 1.0, "hardware/intake": 0.0, "onboarding/intake": 0.0, "accounts/specialists": 0.0, "accounts/intake": 0.0, "software/escalations": 0.0, "accounts/escalations": 0.0, "compliance/desk-a": 0.0, "compliance/review": 0.... |
arithmetic:train:27 | arithmetic | 3 | Opening balance: €210
day,type,amount
1,deposit,90
3,deposit,175
9,withdrawal,35
17,withdrawal,175
18,withdrawal,5
20,withdrawal,120
24,withdrawal,145
25,deposit,195 | {"went_negative": {"type": "noul", "instructions": "Is the account overdrawn at any point?"}, "withdrawal_count": {"type": "score", "criteria": ["0", "1", "2", "3", "4", "5", "6", "7", "8", "9"], "instructions": "Count the withdrawals."}, "net_change": {"type": "score", "criteria": ["Fell by more than 50.", "Changed by... | {"went_negative": {"type": "noul", "noul": 1.0}, "withdrawal_count": {"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"}, "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,... |
entity_belief_tracking:train:14 | entity_belief_tracking | 3 | {"locations": ["cabinet", "lab", "locker", "basement", "drawer", "vault", "studio", "shelf", "mailroom", "archive", "attic"], "initial_locations": {"item_1": "archive", "item_2": "vault", "item_3": "locker"}, "events": [{"step": 1, "object": "item_2", "destination": "shelf", "witnesses": ["alice", "carol"]}, {"step": 2... | {"world_location": {"type": "choice", "instructions": "Where is item_2 actually located after all events?", "criteria": {"cabinet": "cabinet", "lab": "lab", "locker": "locker", "basement": "basement", "drawer": "drawer", "vault": "vault", "studio": "studio", "shelf": "shelf", "mailroom": "mailroom", "archive": "archive... | {"world_location": {"type": "choice", "choice": "shelf", "probabilities": {"cabinet": 0.0, "lab": 0.0, "locker": 0.0, "basement": 0.0, "drawer": 0.0, "vault": 0.0, "studio": 0.0, "shelf": 1.0, "mailroom": 0.0, "archive": 0.0, "attic": 0.0}, "confidence": 1.0}, "agent_belief_location": {"type": "choice", "choice": "shel... |
event_state_reconstruction:train:31 | event_state_reconstruction | 3 | {"initial_state": {"owner": "carol", "open": true, "severity": "routine"}, "events": [{"ts": 148, "kind": "note", "text": "triage"}, {"ts": 120, "kind": "severity", "severity": "degraded"}, {"ts": 104, "kind": "note", "text": "customer update"}, {"ts": 141, "kind": "note", "text": "ack"}, {"ts": 130, "kind": "reopen"},... | {"current_owner": {"type": "choice", "instructions": "Who owns the incident after replaying the event log?", "criteria": {"alice": "alice", "bob": "bob", "carol": "carol", "unassigned": "unassigned"}}, "is_open": {"type": "noul", "instructions": "Is the incident open after replaying the event log?"}, "current_severity"... | {"current_owner": {"type": "choice", "choice": "carol", "probabilities": {"alice": 0.0, "bob": 0.0, "carol": 1.0, "unassigned": 0.0}, "confidence": 1.0}, "is_open": {"type": "noul", "noul": 1.0}, "current_severity": {"type": "score", "score": 1.0, "legend": {"0": "routine: Routine.", "1": "degraded: Degraded service re... |
evidence_sufficiency:train:18 | 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:15 | multi_view_adjudication | 3 | {"ticket": {"channel": "chat"}, "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": 21}, "timeline": {"deadline_hours": null, "executive_escal... | {"intent": {"type": "choice", "instructions": "Following the intent rule, what is the primary operational issue?", "criteria": {"billing": "Payments, invoices, refunds, or charges.", "access": "Authentication, permissions, or account access.", "technical": "Product failures, bugs, or integrations.", "other": "None of t... | {"intent": {"type": "choice", "choice": "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:19 | needle_retrieval | 3 | id | office
--- | ---
B-1670 | Cuenca
B-8787 | Perth
B-4955 | Bergen
B-9993 | Cusco
B-5171 | Quito
B-2395 | Tunis
B-4356 | Braga
B-3871 | Kobe
B-7206 | Bergen
B-3571 | Sfax
B-3171 | Thies
B-4877 | Osaka
B-2145 | Thies
B-9634 | Thies
B-2504 | Lagos
B-5086 | Tunis
B-5369 | Cusco
B-9683 | Lagos
B-4973 | Thies
B-5944 | Tun... | {"value_of_id": {"type": "choice", "criteria": {"Thies": "Thies", "Cusco": "Cusco", "Kobe": "Kobe", "Perth": "Perth", "Lima": "Lima", "Darwin": "Darwin", "Bergen": "Bergen", "Braga": "Braga", "Hanoi": "Hanoi", "Porto": "Porto", "Quito": "Quito", "Sfax": "Sfax"}, "instructions": "Look up badge B-4920. Which office does ... | {"value_of_id": {"type": "choice", "choice": "Thies", "probabilities": {"Thies": 1.0, "Cusco": 0.0, "Kobe": 0.0, "Perth": 0.0, "Lima": 0.0, "Darwin": 0.0, "Bergen": 0.0, "Braga": 0.0, "Hanoi": 0.0, "Porto": 0.0, "Quito": 0.0, "Sfax": 0.0}, "confidence": 1.0}, "id_has_value": {"type": "noul", "noul": 1.0}, "id_listed": ... |
partial_observation_calibration:train:33 | partial_observation_calibration | 3 | {"prior_probability_incident": "1/2", "assumption": "Sensor observations are conditionally independent given whether the incident is real.", "sensors": [{"id": "S1", "observed": "positive", "p_positive_given_incident": "3/4", "p_positive_given_no_incident": "1/4"}, {"id": "S2", "observed": "positive", "p_positive_given... | {"incident_real": {"type": "noul", "instructions": "What is the posterior probability that the incident is real after conditioning on every sensor observation?"}} | {"incident_real": {"type": "noul", "noul": 0.692308}} |
policy_applicability:train:6 | policy_applicability | 3 | {"request": {"subject": {"role": "analyst", "team": "gamma", "clearance": 1}, "resource": {"team": "alpha", "sensitivity": "internal"}, "action": "write"}, "policies": [{"id": "P4", "priority": 5, "effect": "allow", "roles": ["analyst", "engineer", "manager"], "min_clearance": 0, "actions": ["write"], "max_sensitivity"... | {"access_allowed": {"type": "noul", "instructions": "Does the governing policy allow the requested action?"}, "governing_policy": {"type": "choice", "instructions": "Which policy governs the request, i.e. has the highest priority among the policies whose constraints all hold?", "criteria": {"P1": "P1", "P2": "P2", "P3"... | {"access_allowed": {"type": "noul", "noul": 1.0}, "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": 0.0, "legend": {"0": "Level 0: the resource is... |
policy_under_uncertainty:train:18 | policy_under_uncertainty | 3 | {"request": {"subject": {"role": "unknown", "team": "beta", "clearance": 1}, "resource": {"team": "gamma", "sensitivity": "public"}, "action": "write"}, "role_evidence": {"history": "Of the last 40 requests from this account, 17 by analysts, 7 by engineers, 16 by managers. No other role has used it.", "reports": [{"sou... | {"access_allowed": {"type": "noul", "instructions": "Given the uncertainty about the requester's role, how likely is the request to be allowed?"}, "governing_policy": {"type": "choice", "instructions": "Which policy governs the request?", "criteria": {"P1": "P1", "P2": "P2", "P3": "P3", "P4": "P4", "P5": "P5", "none (d... | {"access_allowed": {"type": "noul", "noul": 0.07483}, "governing_policy": {"type": "choice", "choice": "P2", "probabilities": {"P1": 0.0, "P2": 0.9251700680272109, "P3": 0.07482993197278912, "P4": 0.0, "P5": 0.0, "none (default deny)": 0.0}, "confidence": 0.9251700680272109}, "requester_role": {"type": "choice", "choic... |
record_aggregation:train:28 | record_aggregation | 3 | item=brown rope; category=office; quantity=19; in_stock=True
item=red mug; category=office; quantity=13; in_stock=True
item=yellow tent; category=kitchen; quantity=16; in_stock=True
item=green lamp; category=tools; quantity=18; in_stock=True
item=white lamp; category=garden; quantity=9; in_stock=True
item=brown scarf; ... | {"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 office category?"}, "largest_quantity": {"type": "choice", "criteria": {"green kettle": "green kettle", "red mug": "red mug", "brown rope": "brown rope", "brown scar... | {"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:22 | state_perturbation | 3 | {"before": [{"id": "R1", "authorized": true, "status": "resolved", "amount": 550, "owner": "alice", "note": "imported", "status_note": "blocked", "amount_quoted": 470, "previous_owner": "bob"}, {"id": "R2", "authorized": false, "status": "resolved", "amount": 550, "owner": "alice", "note": "imported", "status_note": "o... | {"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": 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": 0.0, "legend": {"0": "Lower operatio... |
table_lookup:train:26 | table_lookup | 3 | people:
name | team | city | start_year
--- | --- | --- | ---
Bruno | billing | Braga | 2013
Wen | search | Hue | 2010
Amir | billing | Braga | 2015
Nils | data | Hue | 2011
Elif | data | Darwin | 2011
Sven | data | Darwin | 2016
Hana | mobile | Hue | 2008
Omar | search | Hue | 2012
Ada | support | Darwin | 2015
Lena |... | {"find_person": {"type": "choice", "criteria": {"Yusuf": "Yusuf", "Gil": "Gil", "Malik": "Malik", "Jae": "Jae", "Emeka": "Emeka", "Amir": "Amir", "Uma": "Uma", "Ines": "Ines", "Bruno": "Bruno", "Hana": "Hana", "Ada": "Ada", "Lena": "Lena", "Nils": "Nils", "Omar": "Omar", "Sven": "Sven", "Kofi": "Kofi", "Elif": "Elif", ... | {"find_person": {"type": "choice", "choice": "Farah", "probabilities": {"Yusuf": 0.0, "Gil": 0.0, "Malik": 0.0, "Jae": 0.0, "Emeka": 0.0, "Amir": 0.0, "Uma": 0.0, "Ines": 0.0, "Bruno": 0.0, "Hana": 0.0, "Ada": 0.0, "Lena": 0.0, "Nils": 0.0, "Omar": 0.0, "Sven": 0.0, "Kofi": 0.0, "Elif": 0.0, "Hugo": 0.0, "Rosa": 0.0, "... |
taxonomy_routing:train:20 | taxonomy_routing | 3 | Routing guide (a ticket goes to the category whose conditions it all meets; exactly one does):
category | rule
--- | ---
partners/escalations | amount at most 200 and age days at most 7
compliance/priority | age days above 30 and amount above 200
accounts/specialists | age days above 30 and amount at most 50 and channe... | {"route": {"type": "choice", "criteria": {"partners/escalations": "partners/escalations", "compliance/priority": "compliance/priority", "accounts/specialists": "accounts/specialists", "onboarding/priority": "onboarding/priority", "billing/review": "billing/review", "shipping/priority": "shipping/priority", "security/in... | {"route": {"type": "choice", "choice": "compliance/intake", "probabilities": {"partners/escalations": 0.0, "compliance/priority": 0.0, "accounts/specialists": 0.0, "onboarding/priority": 0.0, "billing/review": 0.0, "shipping/priority": 0.0, "security/intake": 0.0, "software/escalations": 0.0, "onboarding/review": 0.0, ... |
arithmetic:train:10 | arithmetic | 4 | Start: 11:40
task | duration
--- | ---
code review | 90 min
standup | 100 min
design sync | 50 min
client call | 1 h 30 min
inventory check | 55 min
backup check | 45 min
Tasks run back to back in this order, with a 10-minute break between tasks. | {"starts_before_noon": {"type": "score", "criteria": ["0", "1", "2", "3", "4", "5", "6", "7", "8", "9"], "instructions": "How many tasks start before 12:00?"}, "random_is_long": {"type": "noul", "instructions": "If one task is picked uniformly at random, what is the probability that it lasts more than 30 minutes?"}} | {"starts_before_noon": {"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}, "random_is_lon... |
entity_belief_tracking:train:20 | entity_belief_tracking | 4 | {"locations": ["locker", "desk", "lab", "cabinet", "office", "kitchen", "vault", "archive", "basement"], "initial_locations": {"item_1": "basement", "item_2": "kitchen", "item_3": "vault"}, "events": [{"step": 1, "object": "item_3", "destination": "locker", "witnesses": ["carol"]}, {"step": 2, "object": "item_2", "dest... | {"world_location": {"type": "choice", "instructions": "Where is item_3 actually located after all events?", "criteria": {"locker": "locker", "desk": "desk", "lab": "lab", "cabinet": "cabinet", "office": "office", "kitchen": "kitchen", "vault": "vault", "archive": "archive", "basement": "basement"}}, "agent_belief_locat... | {"world_location": {"type": "choice", "choice": "basement", "probabilities": {"locker": 0.0, "desk": 0.0, "lab": 0.0, "cabinet": 0.0, "office": 0.0, "kitchen": 0.0, "vault": 0.0, "archive": 0.0, "basement": 1.0}, "confidence": 1.0}, "agent_belief_location": {"type": "choice", "choice": "basement", "probabilities": {"lo... |
event_state_reconstruction:train:45 | event_state_reconstruction | 4 | {"initial_state": {"owner": "bob", "open": true, "severity": "routine"}, "events": [{"ts": 144, "kind": "resolve"}, {"ts": 163, "kind": "reopen"}, {"ts": 158, "kind": "reopen"}, {"ts": 176, "kind": "assign", "owner": "bob"}, {"ts": 115, "kind": "resolve"}, {"ts": 143, "kind": "resolve"}, {"ts": 122, "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": 1.0}, "current_severity": {"type": "score", "score": 2.0, "legend": {"0": "routine: Routine.", "1": "degraded: Degraded servi... |
evidence_sufficiency:train:33 | 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 10 or later.", "A retra... | {"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, "S8": 0.0, "S9": 0.0, "S10": 0.0, "S11": 0.0, "none": 0.0}, "con... |
multi_view_adjudication:train:19 | multi_view_adjudication | 4 | {"ticket": {"channel": "api"}, "billing": {"duplicate_charge": false, "invoice_mismatch": true, "refund_missing": false}, "account": {"active": true, "permission_mismatch": false, "tier": "team"}, "telemetry": {"integration_failures": 2, "error_rate_percent": 19}, "timeline": {"now_hour": 74, "due_hour": 98, "executive... | {"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:23 | needle_retrieval | 4 | [{"id": "S-2604", "destination": "Cuenca"}, {"id": "S-6835", "destination": "Thies"}, {"id": "S-7325", "destination": "Perth"}, {"id": "S-8401", "destination": "Hue"}, {"id": "S-7936", "destination": "Braga"}, {"id": "S-1527", "destination": "Cusco"}, {"id": "S-0481", "destination": "Perth"}, {"id": "S-7738", "destinat... | {"value_of_id": {"type": "choice", "criteria": {"Bergen": "Bergen", "Quito": "Quito", "Accra": "Accra", "Sfax": "Sfax", "Hue": "Hue", "Dakar": "Dakar", "Darwin": "Darwin", "Oslo": "Oslo", "Porto": "Porto", "Perth": "Perth", "Lima": "Lima", "Hanoi": "Hanoi", "Tunis": "Tunis", "Thies": "Thies", "Kobe": "Kobe", "Cusco": "... | {"value_of_id": {"type": "choice", "choice": "Quito", "probabilities": {"Bergen": 0.0, "Quito": 1.0, "Accra": 0.0, "Sfax": 0.0, "Hue": 0.0, "Dakar": 0.0, "Darwin": 0.0, "Oslo": 0.0, "Porto": 0.0, "Perth": 0.0, "Lima": 0.0, "Hanoi": 0.0, "Tunis": 0.0, "Thies": 0.0, "Kobe": 0.0, "Cusco": 0.0, "Osaka": 0.0, "Cuenca": 0.0,... |
partial_observation_calibration:train:20 | 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": "9/10", "p_positive_given_no_incident": "2/5"}, {"id": "S2", "observed": "positive", "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": 0.428571}} |
policy_applicability:train:37 | policy_applicability | 4 | {"request": {"subject": {"role": "manager", "team": "gamma", "clearance": 1}, "resource": {"team": "beta", "sensitivity": "public"}, "action": "write"}, "policies": [{"id": "P8", "priority": 6, "effect": "allow", "roles": ["analyst"], "teams": ["alpha", "beta"], "min_clearance": 2, "actions": ["write"]}, {"id": "P5", "... | {"access_allowed": {"type": "noul", "instructions": "Does the governing policy allow the requested action?"}, "governing_policy": {"type": "choice", "instructions": "Which policy governs the request, i.e. has the highest priority among the policies whose constraints all hold?", "criteria": {"P1": "P1", "P2": "P2", "P3"... | {"access_allowed": {"type": "noul", "noul": 0.0}, "governing_policy": {"type": "choice", "choice": "P13", "probabilities": {"P1": 0.0, "P2": 0.0, "P3": 0.0, "P4": 0.0, "P5": 0.0, "P6": 0.0, "P7": 0.0, "P8": 0.0, "P9": 0.0, "P10": 0.0, "P11": 0.0, "P12": 0.0, "P13": 1.0}, "confidence": 1.0}, "review_risk": {"type": "sco... |
policy_under_uncertainty:train:19 | policy_under_uncertainty | 4 | {"request": {"subject": {"role": "unknown", "team": "beta", "clearance": 0}, "resource": {"team": "beta", "sensitivity": "public"}, "action": "write"}, "role_evidence": {"history": "Of the last 40 requests from this account, 8 by analysts, 23 by engineers, 9 by managers. No other role has used it.", "reports": [{"sourc... | {"access_allowed": {"type": "noul", "instructions": "Given the uncertainty about the requester's role, how likely is the request to be allowed?"}, "governing_policy": {"type": "choice", "instructions": "Which policy governs the request?", "criteria": {"P1": "P1", "P2": "P2", "P3": "P3", "P4": "P4", "P5": "P5", "P6": "P... | {"access_allowed": {"type": "noul", "noul": 0.0}, "governing_policy": {"type": "choice", "choice": "none (default deny)", "probabilities": {"P1": 0.0, "P2": 0.0, "P3": 0.0, "P4": 0.0, "P5": 0.0, "P6": 0.0, "P7": 0.0, "P8": 0.0, "P9": 0.0, "none (default deny)": 1.0}, "confidence": 1.0}, "requester_role": {"type": "choi... |
record_aggregation:train:9 | record_aggregation | 4 | item,category,quantity,in_stock
green vase,garden,9,True
white mug,tools,16,True
orange rope,tools,18,True
blue chair,outdoor,1,True
gray mug,outdoor,6,False
red clock,garden,6,True
black tent,tools,13,True
white drill,office,5,True
purple rope,kitchen,3,True
white lamp,office,14,True
brown tent,tools,3,True
white rope... | {"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": {"black chair": "black chair", "black mug": "black mug", "blue kettle": "blue kettle", "white rope": "white rope"... | {"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:12 | state_perturbation | 4 | {"before": [{"id": "R1", "authorized": false, "status": "blocked", "amount": 460, "owner": "unassigned", "note": "imported", "status_note": "open", "amount_quoted": 900, "previous_owner": "bob"}, {"id": "R2", "authorized": true, "status": "blocked", "amount": 540, "owner": "alice", "note": "imported", "status_note": "r... | {"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": 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:27 | table_lookup | 4 | {"people": [{"name": "Bea", "team": "support", "city": "Quito", "start_year": 2021}, {"name": "Nora", "team": "support", "city": "Oslo", "start_year": 2020}, {"name": "Carlos", "team": "billing", "city": "Quito", "start_year": 2021}, {"name": "Dmitri", "team": "support", "city": "Oslo", "start_year": 2023}, {"name": "W... | {"find_person": {"type": "choice", "criteria": {"Gil": "Gil", "Viktor": "Viktor", "Amir": "Amir", "Bruno": "Bruno", "Dmitri": "Dmitri", "Malik": "Malik", "Hugo": "Hugo", "Lena": "Lena", "Tariq": "Tariq", "Wen": "Wen", "Rosa": "Rosa", "Priya": "Priya", "Mei": "Mei", "Jonas": "Jonas", "Bea": "Bea", "Sven": "Sven", "Ivy":... | {"find_person": {"type": "choice", "choice": "Nora", "probabilities": {"Gil": 0.0, "Viktor": 0.0, "Amir": 0.0, "Bruno": 0.0, "Dmitri": 0.0, "Malik": 0.0, "Hugo": 0.0, "Lena": 0.0, "Tariq": 0.0, "Wen": 0.0, "Rosa": 0.0, "Priya": 0.0, "Mei": 0.0, "Jonas": 0.0, "Bea": 0.0, "Sven": 0.0, "Ivy": 0.0, "Emeka": 0.0, "Omar": 0.... |
taxonomy_routing:train:23 | taxonomy_routing | 4 | Routing guide (a ticket goes to the category whose conditions it all meets; exactly one does):
category | rule
--- | ---
security/review | channel is email and product is camera and amount at most 100 and age days above 14
shipping/review | amount at most 100 and issue is damage and tier is plus
onboarding/desk-a | reg... | {"route": {"type": "choice", "criteria": {"security/review": "security/review", "shipping/review": "shipping/review", "onboarding/desk-a": "onboarding/desk-a", "software/specialists": "software/specialists", "security/escalations": "security/escalations", "hardware/escalations": "hardware/escalations", "onboarding/desk... | {"route": {"type": "choice", "choice": "software/review", "probabilities": {"security/review": 0.0, "shipping/review": 0.0, "onboarding/desk-a": 0.0, "software/specialists": 0.0, "security/escalations": 0.0, "hardware/escalations": 0.0, "onboarding/desk-b": 0.0, "hardware/specialists": 0.0, "returns/specialists": 0.0, ... |
arithmetic:train:14 | arithmetic | 0 | Start: 10:45
task | duration
--- | ---
standup | 10 min
email triage | 15 min
interviews | 45 min
Tasks run back to back in this order. | {"longest_task": {"type": "choice", "criteria": {"standup": "standup", "email triage": "email triage", "interviews": "interviews"}, "instructions": "Which task is the longest?"}, "random_is_long": {"type": "noul", "instructions": "What is the chance that a randomly chosen task takes longer than 45 minutes?"}} | {"longest_task": {"type": "choice", "choice": "interviews", "probabilities": {"standup": 0.0, "email triage": 0.0, "interviews": 1.0}, "confidence": 1.0}, "random_is_long": {"type": "noul", "noul": 0.0}} |
entity_belief_tracking:train:24 | entity_belief_tracking | 0 | {"locations": ["desk", "attic", "cabinet", "office", "workshop", "studio", "garage", "vault", "basement", "archive", "shelf", "locker"], "initial_locations": {"item_1": "locker"}, "events": [{"step": 1, "object": "item_1", "destination": "cabinet", "witnesses": ["bob"]}, {"step": 2, "object": "item_1", "destination": "... | {"world_location": {"type": "choice", "instructions": "Where is item_1 actually located after all events?", "criteria": {"desk": "desk", "attic": "attic", "cabinet": "cabinet", "office": "office", "workshop": "workshop", "studio": "studio", "garage": "garage", "vault": "vault", "basement": "basement", "archive": "archi... | {"world_location": {"type": "choice", "choice": "cabinet", "probabilities": {"desk": 0.0, "attic": 0.0, "cabinet": 1.0, "office": 0.0, "workshop": 0.0, "studio": 0.0, "garage": 0.0, "vault": 0.0, "basement": 0.0, "archive": 0.0, "shelf": 0.0, "locker": 0.0}, "confidence": 1.0}, "agent_belief_location": {"type": "choice... |
event_state_reconstruction:train:20 | event_state_reconstruction | 0 | {"initial_state": {"owner": "carol", "open": true, "severity": "degraded"}, "events": [{"ts": 102, "kind": "assign", "owner": "carol"}, {"ts": 106, "kind": "severity", "severity": "degraded"}, {"ts": 113, "kind": "severity", "severity": "routine"}], "rule": "Start from initial_state and apply events in ascending timest... | {"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:10 | evidence_sufficiency | 0 | {"claim": "The deployment is sufficiently supported as the cause of the incident.", "rules": ["Support is sufficient only with at least two independent valid supporting origins and no valid contradictory origin. Duplicates from one origin count once.", "Evidence with valid=false is invalid.", "Break reliability ties by... | {"claim_supported": {"type": "noul", "instructions": "Following the stated rules, is the claim sufficiently supported?"}, "has_conflict": {"type": "noul", "instructions": "Is there at least one valid supporting origin and at least one valid contradictory origin?"}, "strongest_support_origin": {"type": "choice", "instru... | {"claim_supported": {"type": "noul", "noul": 0.0}, "has_conflict": {"type": "noul", "noul": 0.0}, "strongest_support_origin": {"type": "choice", "choice": "S3", "probabilities": {"S1": 0.0, "S2": 0.0, "S3": 1.0, "none": 0.0}, "confidence": 1.0}} |
multi_view_adjudication:train:35 | multi_view_adjudication | 0 | {"ticket": {"channel": "api"}, "billing": {"duplicate_charge": false, "invoice_mismatch": false, "refund_missing": false}, "account": {"active": true, "auth_failures": 0, "permission_mismatch": false, "tier": "team"}, "telemetry": {"integration_failures": 1, "error_rate_percent": 20}, "timeline": {"deadline_hours": nul... | {"intent": {"type": "choice", "instructions": "Following the intent rule, what is the primary operational issue?", "criteria": {"billing": "Payments, invoices, refunds, or charges.", "access": "Authentication, permissions, or account access.", "technical": "Product failures, bugs, or integrations.", "other": "None of t... | {"intent": {"type": "choice", "choice": "technical", "probabilities": {"billing": 0.0, "access": 0.0, "technical": 1.0, "other": 0.0}, "confidence": 1.0}, "is_urgent": {"type": "noul", "noul": 0.0}, "workflow_impact": {"type": "score", "score": 0.0, "legend": {"0": "Level 0: no affected feature is down or slow.", "1": ... |
needle_retrieval:train:40 | needle_retrieval | 0 | id=L-1526; city=Kobe
id=L-1521; city=Accra
id=L-2511; city=Thies
id=L-1125; city=Hanoi
id=L-1251; city=Porto
id=L-0908; city=Osaka
id=L-8830; city=Dakar | {"value_of_id": {"type": "choice", "criteria": {"Kobe": "Kobe", "Thies": "Thies", "Lagos": "Lagos", "Dakar": "Dakar", "Cusco": "Cusco", "Quito": "Quito", "Cuenca": "Cuenca", "Lima": "Lima", "Darwin": "Darwin", "Porto": "Porto", "Hue": "Hue", "Tunis": "Tunis", "Accra": "Accra", "Bergen": "Bergen", "Sfax": "Sfax", "Osaka... | {"value_of_id": {"type": "choice", "choice": "Accra", "probabilities": {"Kobe": 0.0, "Thies": 0.0, "Lagos": 0.0, "Dakar": 0.0, "Cusco": 0.0, "Quito": 0.0, "Cuenca": 0.0, "Lima": 0.0, "Darwin": 0.0, "Porto": 0.0, "Hue": 0.0, "Tunis": 0.0, "Accra": 1.0, "Bergen": 0.0, "Sfax": 0.0, "Osaka": 0.0, "Oslo": 0.0, "Hanoi": 0.0}... |
partial_observation_calibration:train:18 | partial_observation_calibration | 0 | {"prior_probability_incident": "1/3", "assumption": "Sensor observations are conditionally independent given whether the incident is real.", "sensors": [{"id": "S1", "observed": "negative", "p_positive_given_incident": "9/10", "p_positive_given_no_incident": "2/5"}]} | {"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": 0.076923}} |
policy_applicability:train:25 | policy_applicability | 0 | {"request": {"subject": {"role": "manager", "team": "gamma", "clearance": 2}, "resource": {"team": "alpha", "sensitivity": "restricted"}, "action": "approve"}, "policies": [{"id": "P1", "priority": 2, "effect": "deny", "min_clearance": 0}, {"id": "P2", "priority": 1, "effect": "allow", "min_clearance": 1}], "semantics"... | {"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:23 | policy_under_uncertainty | 0 | {"request": {"subject": {"role": "unknown", "team": "gamma", "clearance": 0}, "resource": {"team": "beta", "sensitivity": "restricted"}, "action": "write"}, "role_evidence": {"history": "Of the last 23 requests from this account, 14 by analysts, 9 by managers. No other role has used it.", "reports": [{"source": "manage... | {"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": 0.852632}, "governing_policy": {"type": "choice", "choice": "P1", "probabilities": {"P1": 0.8526315789473684, "P2": 0.0, "none (default deny)": 0.14736842105263157}, "confidence": 0.8526315789473684}, "requester_role": {"type": "choice", "choice": "manager", "probabilities": ... |
record_aggregation:train:17 | record_aggregation | 0 | item,category,quantity,in_stock
yellow clock,garden,14,True
brown scarf,garden,4,True
purple drill,kitchen,11,True
orange chair,outdoor,8,True
blue lamp,garden,11,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 outdoor?"}, "largest_quantity": {"type": "choice", "criteria": {"brown scarf": "brown scarf", "purple drill": "purple drill", "blue lamp": "blue lamp", "orange... | {"count_in_category": {"type": "score", "score": 1.0, "legend": {"0": "0", "1": "1", "2": "2", "3": "3", "4": "4", "5": "5", "6": "6", "7": "7", "8": "8", "9": "9 or more"}, "probabilities": {"0": 0.0, "1": 1.0, "2": 0.0, "3": 0.0, "4": 0.0, "5": 0.0, "6": 0.0, "7": 0.0, "8": 0.0, "9": 0.0}, "confidence": 1.0}, "larges... |
state_perturbation:train:24 | state_perturbation | 0 | {"before": [{"id": "R1", "authorized": false, "status": "open", "amount": 100, "owner": "bob", "note": "routine"}], "after": [{"id": "R1", "authorized": true, "status": "open", "amount": 100, "owner": "bob", "note": "routine"}], "materiality": "Material fields are authorized, status, amount, and owner; every other fiel... | {"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": "authorization", "probabilities": {"authorization": 1.0, "status": 0.0, "financial": 0.0, "ownership": 0.0, "none": 0.0}, "confidence": 1.0}, "risk_direction": {"type": "score", "score": 0.0, "legend": {"0": "Lower oper... |
table_lookup:train:18 | table_lookup | 0 | {"people": [{"name": "Mei", "team": "support", "city": "Cuenca", "start_year": 2013}, {"name": "Carlos", "team": "mobile", "city": "Perth", "start_year": 2016}, {"name": "Omar", "team": "support", "city": "Cuenca", "start_year": 2020}, {"name": "Uma", "team": "billing", "city": "Oslo", "start_year": 2016}, {"name": "Ro... | {"find_person": {"type": "choice", "criteria": {"Rosa": "Rosa", "Mei": "Mei", "Uma": "Uma", "Carlos": "Carlos", "Zoe": "Zoe", "Omar": "Omar", "Sven": "Sven"}, "instructions": "Which person works in Hanoi on the support team?"}, "manager_of": {"type": "choice", "criteria": {"Nora": "Nora", "Ximena": "Ximena", "Kenji": "... | {"find_person": {"type": "choice", "choice": "Rosa", "probabilities": {"Rosa": 1.0, "Mei": 0.0, "Uma": 0.0, "Carlos": 0.0, "Zoe": 0.0, "Omar": 0.0, "Sven": 0.0}, "confidence": 1.0}, "manager_of": {"type": "choice", "choice": "Ximena", "probabilities": {"Nora": 0.0, "Ximena": 1.0, "Kenji": 0.0, "Jonas": 0.0, "Ines": 0.0... |
taxonomy_routing:train:13 | taxonomy_routing | 0 | Routing guide (a ticket goes to the category whose conditions it all meets; exactly one does):
category=compliance/review; rule=age days above 14
category=partners/priority; rule=issue is refund
category=security/specialists; rule=amount at most 100
category=billing/specialists; rule=age days at most 14
category=billin... | {"route": {"type": "choice", "criteria": {"compliance/review": "compliance/review", "partners/priority": "partners/priority", "security/specialists": "security/specialists", "billing/specialists": "billing/specialists", "billing/desk-b": "billing/desk-b", "hardware/escalations": "hardware/escalations"}, "instructions":... | {"route": {"type": "choice", "choice": "compliance/review", "probabilities": {"compliance/review": 1.0, "partners/priority": 0.0, "security/specialists": 0.0, "billing/specialists": 0.0, "billing/desk-b": 0.0, "hardware/escalations": 0.0}, "confidence": 1.0}, "belongs_to": {"type": "noul", "noul": 1.0}, "conditions_met... |
arithmetic:train:47 | arithmetic | 1 | Order lines (prices in €):
item=lamp; unit_price=5; quantity=1
item=tent; unit_price=9; quantity=3
item=scarf; unit_price=17; quantity=2
item=kettle; unit_price=32; quantity=1
Rule: Orders of €70 or more get €5 off; smaller orders pay €6 shipping. | {"largest_line": {"type": "choice", "criteria": {"lamp": "lamp", "tent": "tent", "scarf": "scarf", "kettle": "kettle"}, "instructions": "Which item accounts for the largest share of the bill?"}, "random_line_bulk": {"type": "noul", "instructions": "What is the chance that a randomly chosen line orders 3 or more units?"... | {"largest_line": {"type": "choice", "choice": "scarf", "probabilities": {"lamp": 0.0, "tent": 0.0, "scarf": 1.0, "kettle": 0.0}, "confidence": 1.0}, "random_line_bulk": {"type": "noul", "noul": 0.25}} |
entity_belief_tracking:train:13 | entity_belief_tracking | 1 | {"locations": ["cabinet", "lab", "shelf", "workshop", "archive", "drawer", "studio", "locker", "basement", "vault", "mailroom", "kitchen", "garage"], "initial_locations": {"item_1": "cabinet", "item_2": "vault"}, "events": [{"step": 1, "object": "item_1", "destination": "locker", "witnesses": ["alice"]}, {"step": 2, "o... | {"world_location": {"type": "choice", "instructions": "Where is item_2 actually located after all events?", "criteria": {"cabinet": "cabinet", "lab": "lab", "shelf": "shelf", "workshop": "workshop", "archive": "archive", "drawer": "drawer", "studio": "studio", "locker": "locker", "basement": "basement", "vault": "vault... | {"world_location": {"type": "choice", "choice": "drawer", "probabilities": {"cabinet": 0.0, "lab": 0.0, "shelf": 0.0, "workshop": 0.0, "archive": 0.0, "drawer": 1.0, "studio": 0.0, "locker": 0.0, "basement": 0.0, "vault": 0.0, "mailroom": 0.0, "kitchen": 0.0, "garage": 0.0}, "confidence": 1.0}, "agent_belief_location":... |
event_state_reconstruction:train:17 | event_state_reconstruction | 1 | {"initial_state": {"owner": "bob", "open": true, "severity": "critical"}, "events": [{"ts": 106, "kind": "reopen"}, {"ts": 107, "kind": "reopen"}, {"ts": 111, "kind": "reopen"}, {"ts": 118, "kind": "resolve"}], "rule": "Start from initial_state and apply events in ascending timestamp order. stale_snapshot is an older r... | {"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": 2.0, "legend": {"0": "routine: Routine.", "1": "degraded: Degraded service requ... |
evidence_sufficiency:train:14 | 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": 1.0}, "has_conflict": {"type": "noul", "noul": 0.0}, "strongest_support_origin": {"type": "choice", "choice": "S2", "probabilities": {"S1": 0.0, "S2": 1.0, "S3": 0.0, "S4": 0.0, "none": 0.0}, "confidence": 1.0}} |
multi_view_adjudication:train:6 | multi_view_adjudication | 1 | {"ticket": {"channel": "chat"}, "billing": {"duplicate_charge": false, "invoice_mismatch": false, "refund_missing": false}, "account": {"active": true, "auth_failures": 1, "permission_mismatch": false, "tier": "team"}, "telemetry": {"integration_failures": 1, "error_rate_percent": 0}, "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": "other", "probabilities": {"billing": 0.0, "access": 0.0, "technical": 0.0, "other": 1.0}, "confidence": 1.0}, "is_urgent": {"type": "noul", "noul": 1.0}, "workflow_impact": {"type": "score", "score": 0.0, "legend": {"0": "Level 0: no affected feature is down or slow.", "1": "Lev... |
needle_retrieval:train:10 | needle_retrieval | 1 | id=S-3197; destination=Darwin
id=S-0076; destination=Accra
id=S-0766; destination=Perth
id=S-8776; destination=Perth
id=S-3284; destination=Lima
id=S-0676; destination=Cuenca
id=S-0767; destination=Hue
id=S-7125; destination=Tunis
id=S-0741; destination=Oslo
id=S-9260; destination=Cuenca
id=S-2776; destination=Osaka
id... | {"value_of_id": {"type": "choice", "criteria": {"Thies": "Thies", "Hue": "Hue", "Osaka": "Osaka", "Cuenca": "Cuenca", "Perth": "Perth", "Braga": "Braga", "Lagos": "Lagos", "Darwin": "Darwin", "Sfax": "Sfax", "Kobe": "Kobe", "Dakar": "Dakar", "Porto": "Porto", "Cusco": "Cusco", "Quito": "Quito", "Accra": "Accra", "Hanoi... | {"value_of_id": {"type": "choice", "choice": "Quito", "probabilities": {"Thies": 0.0, "Hue": 0.0, "Osaka": 0.0, "Cuenca": 0.0, "Perth": 0.0, "Braga": 0.0, "Lagos": 0.0, "Darwin": 0.0, "Sfax": 0.0, "Kobe": 0.0, "Dakar": 0.0, "Porto": 0.0, "Cusco": 0.0, "Quito": 1.0, "Accra": 0.0, "Hanoi": 0.0, "Lima": 0.0, "Oslo": 0.0},... |
partial_observation_calibration:train:23 | partial_observation_calibration | 1 | {"prior_probability_incident": "1/2", "assumption": "Sensor observations are conditionally independent given whether the incident is real.", "sensors": [{"id": "S1", "observed": "negative", "p_positive_given_incident": "2/3", "p_positive_given_no_incident": "1/3"}, {"id": "S2", "observed": "negative", "p_positive_given... | {"incident_real": {"type": "noul", "instructions": "What is the posterior probability that the incident is real after conditioning on every sensor observation?"}} | {"incident_real": {"type": "noul", "noul": 0.2}} |
policy_applicability:train:28 | policy_applicability | 1 | {"request": {"subject": {"role": "analyst", "team": "gamma", "clearance": 0}, "resource": {"team": "beta", "sensitivity": "restricted"}, "action": "read"}, "policies": [{"id": "P1", "priority": 3, "effect": "allow", "teams": ["alpha"]}, {"id": "P2", "priority": 2, "effect": "allow", "roles": ["analyst"], "min_clearance... | {"access_allowed": {"type": "noul", "instructions": "Does the governing policy allow the requested action?"}, "governing_policy": {"type": "choice", "instructions": "Which policy governs the request, i.e. has the highest priority among the policies whose constraints all hold?", "criteria": {"P1": "P1", "P2": "P2", "P3"... | {"access_allowed": {"type": "noul", "noul": 1.0}, "governing_policy": {"type": "choice", "choice": "P2", "probabilities": {"P1": 0.0, "P2": 1.0, "P3": 0.0}, "confidence": 1.0}, "review_risk": {"type": "score", "score": 1.0, "legend": {"0": "Level 0: the resource is not restricted and the matching policies agree on effe... |
policy_under_uncertainty:train:24 | policy_under_uncertainty | 1 | {"request": {"subject": {"role": "unknown", "team": "alpha", "clearance": 1}, "resource": {"team": "gamma", "sensitivity": "public"}, "action": "write"}, "role_evidence": {"history": "Of the last 48 requests from this account, 22 by analysts, 26 by managers. No other role has used it.", "reports": [{"source": "manager'... | {"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": 1.0}, "governing_policy": {"type": "choice", "choice": "P2", "probabilities": {"P1": 0.0, "P2": 1.0, "P3": 0.0, "P4": 0.0, "none (default deny)": 0.0}, "confidence": 1.0}, "requester_role": {"type": "choice", "choice": "analyst", "probabilities": {"analyst": 0.717391304347826... |
record_aggregation:train:30 | record_aggregation | 1 | item | category | quantity | in_stock
--- | --- | --- | ---
black clock | office | 16 | False
green chair | office | 14 | True
red rope | kitchen | 8 | True
purple rope | kitchen | 5 | True
green vase | office | 17 | True
green tent | garden | 3 | True
purple drill | office | 13 | True
purple tent | kitchen | 2 | 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 garden?"}, "largest_quantity": {"type": "choice", "criteria": {"purple rope": "purple rope", "gray rope": "gray rope", "yellow lamp": "yellow lamp", "purple te... | {"count_in_category": {"type": "score", "score": 1.0, "legend": {"0": "0", "1": "1", "2": "2", "3": "3", "4": "4", "5": "5", "6": "6", "7": "7", "8": "8", "9": "9 or more"}, "probabilities": {"0": 0.0, "1": 1.0, "2": 0.0, "3": 0.0, "4": 0.0, "5": 0.0, "6": 0.0, "7": 0.0, "8": 0.0, "9": 0.0}, "confidence": 1.0}, "larges... |
state_perturbation:train:9 | state_perturbation | 1 | {"before": [{"id": "R1", "authorized": false, "status": "blocked", "amount": 900, "owner": "bob", "note": "routine"}, {"id": "R2", "authorized": false, "status": "blocked", "amount": 100, "owner": "bob", "note": "routine"}], "after": [{"id": "R1", "authorized": false, "status": "blocked", "amount": 250, "owner": "bob",... | {"material_change": {"type": "noul", "instructions": "Did any material field of record R2 change?"}, "changed_dimension": {"type": "choice", "instructions": "Which material dimension of record R2 changed? Choose none when only non-material fields changed.", "criteria": {"authorization": "authorization", "status": "stat... | {"material_change": {"type": "noul", "noul": 0.0}, "changed_dimension": {"type": "choice", "choice": "none", "probabilities": {"authorization": 0.0, "status": 0.0, "financial": 0.0, "ownership": 0.0, "none": 1.0}, "confidence": 1.0}, "risk_direction": {"type": "score", "score": 0.0, "legend": {"0": "Lower operational r... |
table_lookup:train:15 | table_lookup | 1 | {"people": [{"name": "Uma", "team": "search", "city": "Porto", "start_year": 2021}, {"name": "Jae", "team": "mobile", "city": "Braga", "start_year": 2017}, {"name": "Amir", "team": "search", "city": "Porto", "start_year": 2022}, {"name": "Freya", "team": "security", "city": "Accra", "start_year": 2016}, {"name": "Ada",... | {"find_person": {"type": "choice", "criteria": {"Jae": "Jae", "Uma": "Uma", "Ivy": "Ivy", "Freya": "Freya", "Viktor": "Viktor", "Ada": "Ada", "Bruno": "Bruno", "Amir": "Amir"}, "instructions": "Who is on the mobile team and based in Braga?"}, "manager_of": {"type": "choice", "criteria": {"Hugo": "Hugo", "Priya": "Priya... | {"find_person": {"type": "choice", "choice": "Jae", "probabilities": {"Jae": 1.0, "Uma": 0.0, "Ivy": 0.0, "Freya": 0.0, "Viktor": 0.0, "Ada": 0.0, "Bruno": 0.0, "Amir": 0.0}, "confidence": 1.0}, "manager_of": {"type": "choice", "choice": "Priya", "probabilities": {"Hugo": 0.0, "Priya": 1.0, "Quinn": 0.0, "Nils": 0.0, "... |
taxonomy_routing:train:32 | taxonomy_routing | 1 | Routing guide (a ticket goes to the category whose conditions it all meets; exactly one does):
[{"category": "partners/specialists", "rule": "amount above 50 and age days at most 7"}, {"category": "returns/escalations", "rule": "product is printer"}, {"category": "compliance/desk-b", "rule": "amount above 50"}, {"categ... | {"route": {"type": "choice", "criteria": {"partners/specialists": "partners/specialists", "returns/escalations": "returns/escalations", "compliance/desk-b": "compliance/desk-b", "partners/desk-b": "partners/desk-b", "compliance/review": "compliance/review", "software/backlog": "software/backlog", "accounts/intake": "ac... | {"route": {"type": "choice", "choice": "compliance/desk-b", "probabilities": {"partners/specialists": 0.0, "returns/escalations": 0.0, "compliance/desk-b": 1.0, "partners/desk-b": 0.0, "compliance/review": 0.0, "software/backlog": 0.0, "accounts/intake": 0.0, "security/specialists": 0.0, "compliance/escalations": 0.0, ... |
arithmetic:train:23 | arithmetic | 2 | Order lines (prices in £):
item | unit_price | quantity
--- | --- | ---
lamp | 21 | 5
scarf | 16 | 5
chair | 6 | 2
vase | 45 | 2
mug | 10 | 5
Rule: Orders of £305 or more get £15 off; smaller orders pay £8 shipping. | {"largest_line": {"type": "choice", "criteria": {"lamp": "lamp", "scarf": "scarf", "chair": "chair", "vase": "vase", "mug": "mug"}, "instructions": "Which item accounts for the largest share of the bill?"}, "lines_above": {"type": "score", "criteria": ["0", "1", "2", "3", "4", "5", "6", "7", "8", "9"], "instructions": ... | {"largest_line": {"type": "choice", "choice": "lamp", "probabilities": {"lamp": 1.0, "scarf": 0.0, "chair": 0.0, "vase": 0.0, "mug": 0.0}, "confidence": 1.0}, "lines_above": {"type": "score", "score": 0.0, "legend": {"0": "0", "1": "1", "2": "2", "3": "3", "4": "4", "5": "5", "6": "6", "7": "7", "8": "8", "9": "9"}, "p... |
entity_belief_tracking:train:43 | entity_belief_tracking | 2 | {"locations": ["vault", "mailroom", "cabinet", "attic", "desk", "garage", "drawer", "shelf", "archive", "studio", "workshop", "office"], "initial_locations": {"item_1": "studio", "item_2": "office"}, "events": [{"step": 1, "object": "item_2", "destination": "drawer", "witnesses": ["alice", "bob", "carol"]}, {"step": 2,... | {"world_location": {"type": "choice", "instructions": "Where is item_1 actually located after all events?", "criteria": {"vault": "vault", "mailroom": "mailroom", "cabinet": "cabinet", "attic": "attic", "desk": "desk", "garage": "garage", "drawer": "drawer", "shelf": "shelf", "archive": "archive", "studio": "studio", "... | {"world_location": {"type": "choice", "choice": "vault", "probabilities": {"vault": 1.0, "mailroom": 0.0, "cabinet": 0.0, "attic": 0.0, "desk": 0.0, "garage": 0.0, "drawer": 0.0, "shelf": 0.0, "archive": 0.0, "studio": 0.0, "workshop": 0.0, "office": 0.0}, "confidence": 1.0}, "agent_belief_location": {"type": "choice",... |
event_state_reconstruction:train:9 | event_state_reconstruction | 2 | {"initial_state": {"owner": "alice", "open": true, "severity": "critical"}, "events": [{"ts": 107, "kind": "note", "text": "customer update"}, {"ts": 135, "kind": "assign", "owner": "bob"}, {"ts": 134, "kind": "assign", "owner": "carol"}, {"ts": 138, "kind": "resolve"}, {"ts": 113, "kind": "assign", "owner": "bob"}, {"... | {"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": 2.0, "legend": {"0": "routine: Routine.", "1": "degraded: Degraded service requ... |
evidence_sufficiency:train:23 | evidence_sufficiency | 2 | {"claim": "The deployment is sufficiently supported as the cause of the incident.", "rules": ["Support is sufficient only with at least two independent valid supporting origins and no valid contradictory origin. Duplicates from one origin count once.", "Evidence with valid=false is invalid.", "A retraction makes the ev... | {"claim_supported": {"type": "noul", "instructions": "Following the stated rules, is the claim sufficiently supported?"}, "has_conflict": {"type": "noul", "instructions": "Is there at least one valid supporting origin and at least one valid contradictory origin?"}, "strongest_support_origin": {"type": "choice", "instru... | {"claim_supported": {"type": "noul", "noul": 0.0}, "has_conflict": {"type": "noul", "noul": 1.0}, "strongest_support_origin": {"type": "choice", "choice": "S4", "probabilities": {"S1": 0.0, "S2": 0.0, "S3": 0.0, "S4": 1.0, "S5": 0.0, "none": 0.0}, "confidence": 1.0}} |
multi_view_adjudication:train:23 | multi_view_adjudication | 2 | {"ticket": {"channel": "chat"}, "billing": {"duplicate_charge": false, "invoice_mismatch": false, "refund_missing": false}, "account": {"active": true, "auth_failures": 2, "permission_mismatch": false, "tier": "team"}, "telemetry": {"integration_failures": 1, "error_rate_percent": 20}, "timeline": {"deadline_hours": 25... | {"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": 0.0, "legend": {"0": "Level 0: no affected feature is down or slow.", "1": "Le... |
needle_retrieval:train:26 | needle_retrieval | 2 | The shipment S-2853 has destination Accra. The shipment S-5736 has destination Cuenca. The shipment S-6245 has destination Bergen. The shipment S-1986 has destination Lima. The shipment S-0794 has destination Thies. The shipment S-9094 has destination Dakar. The shipment S-1296 has destination Tunis. The shipment S-915... | {"value_of_id": {"type": "choice", "criteria": {"Kobe": "Kobe", "Lima": "Lima", "Tunis": "Tunis", "Lagos": "Lagos", "Accra": "Accra", "Thies": "Thies"}, "instructions": "Which destination is listed for shipment S-1526?"}, "id_has_value": {"type": "noul", "instructions": "Is shipment S-1526 listed with destination Thies... | {"value_of_id": {"type": "choice", "choice": "Thies", "probabilities": {"Kobe": 0.0, "Lima": 0.0, "Tunis": 0.0, "Lagos": 0.0, "Accra": 0.0, "Thies": 1.0}, "confidence": 1.0}, "id_has_value": {"type": "noul", "noul": 1.0}, "id_listed": {"type": "noul", "noul": 0.0}} |
partial_observation_calibration:train:19 | partial_observation_calibration | 2 | {"prior_probability_incident": "2/3", "assumption": "Sensor observations are conditionally independent given whether the incident is real.", "sensors": [{"id": "S1", "observed": "negative", "p_positive_given_incident": "4/5", "p_positive_given_no_incident": "1/5"}, {"id": "S2", "observed": "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": 0.04}} |
policy_applicability:train:18 | policy_applicability | 2 | {"request": {"subject": {"role": "analyst", "team": "gamma", "clearance": 1}, "resource": {"team": "alpha", "sensitivity": "internal"}, "action": "approve"}, "policies": [{"id": "P3", "priority": 3, "effect": "allow", "roles": ["engineer"], "min_clearance": 1, "actions": ["approve"], "max_sensitivity": "restricted"}, {... | {"access_allowed": {"type": "noul", "instructions": "Does the governing policy allow the requested action?"}, "governing_policy": {"type": "choice", "instructions": "Which policy governs the request, i.e. has the highest priority among the policies whose constraints all hold?", "criteria": {"P1": "P1", "P2": "P2", "P3"... | {"access_allowed": {"type": "noul", "noul": 1.0}, "governing_policy": {"type": "choice", "choice": "P2", "probabilities": {"P1": 0.0, "P2": 1.0, "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:13 | policy_under_uncertainty | 2 | {"request": {"subject": {"role": "unknown", "team": "alpha", "clearance": 0}, "resource": {"team": "gamma", "sensitivity": "internal"}, "action": "write"}, "role_evidence": {"history": "Of the last 14 requests from this account, 4 by analysts, 2 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", "none (default deny)": "none (de... | {"access_allowed": {"type": "noul", "noul": 0.973154}, "governing_policy": {"type": "choice", "choice": "P1", "probabilities": {"P1": 0.9731543624161074, "P2": 0.0, "P3": 0.026845637583892617, "none (default deny)": 0.0}, "confidence": 0.9731543624161074}, "requester_role": {"type": "choice", "choice": "analyst", "prob... |
record_aggregation:train:24 | record_aggregation | 2 | [{"item": "green mug", "category": "tools", "quantity": 13, "in_stock": true}, {"item": "black drill", "category": "kitchen", "quantity": 2, "in_stock": true}, {"item": "orange chair", "category": "tools", "quantity": 19, "in_stock": true}, {"item": "purple vase", "category": "kitchen", "quantity": 16, "in_stock": 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 kitchen?"}, "largest_quantity": {"type": "choice", "criteria": {"blue scarf": "blue scarf", "green drill": "green drill", "purple vase": "purple vase", "blue l... | {"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:29 | state_perturbation | 2 | {"before": [{"id": "R1", "authorized": false, "status": "open", "amount": 540, "owner": "bob", "note": "routine", "status_note": "resolved", "amount_quoted": 470, "previous_owner": "alice"}, {"id": "R2", "authorized": false, "status": "open", "amount": 100, "owner": "bob", "note": "reviewed", "status_note": "blocked", ... | {"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": 0.0, "legend": {"0": "Lower operational r... |
table_lookup:train:19 | table_lookup | 2 | {"people": [{"name": "Ines", "team": "support", "city": "Cusco", "start_year": 2023}, {"name": "Sven", "team": "billing", "city": "Sfax", "start_year": 2010}, {"name": "Jae", "team": "data", "city": "Sfax", "start_year": 2023}, {"name": "Yusuf", "team": "billing", "city": "Cusco", "start_year": 2009}, {"name": "Lena", ... | {"find_person": {"type": "choice", "criteria": {"Yusuf": "Yusuf", "Omar": "Omar", "Jae": "Jae", "Chloe": "Chloe", "Ines": "Ines", "Lena": "Lena", "Quinn": "Quinn", "Rosa": "Rosa", "Amir": "Amir", "Ivy": "Ivy", "Viktor": "Viktor", "Kenji": "Kenji", "Dmitri": "Dmitri", "Sven": "Sven"}, "instructions": "Who is on the team... | {"find_person": {"type": "choice", "choice": "Chloe", "probabilities": {"Yusuf": 0.0, "Omar": 0.0, "Jae": 0.0, "Chloe": 1.0, "Ines": 0.0, "Lena": 0.0, "Quinn": 0.0, "Rosa": 0.0, "Amir": 0.0, "Ivy": 0.0, "Viktor": 0.0, "Kenji": 0.0, "Dmitri": 0.0, "Sven": 0.0}, "confidence": 1.0}, "manager_of": {"type": "choice", "choic... |
taxonomy_routing:train:14 | taxonomy_routing | 2 | Routing guide (a ticket goes to the category whose conditions it all meets; exactly one does):
category=returns/backlog; rule=tier is business and channel is chat and region is west
category=security/escalations; rule=age days at most 14 and tier is plus
category=security/review; rule=tier is business and product is ca... | {"route": {"type": "choice", "criteria": {"returns/backlog": "returns/backlog", "security/escalations": "security/escalations", "security/review": "security/review", "software/desk-b": "software/desk-b", "accounts/priority": "accounts/priority", "software/intake": "software/intake", "compliance/backlog": "compliance/ba... | {"route": {"type": "choice", "choice": "partners/backlog", "probabilities": {"returns/backlog": 0.0, "security/escalations": 0.0, "security/review": 0.0, "software/desk-b": 0.0, "accounts/priority": 0.0, "software/intake": 0.0, "compliance/backlog": 0.0, "partners/desk-b": 0.0, "returns/priority": 0.0, "compliance/esca... |
arithmetic:train:29 | arithmetic | 3 | Opening balance: €470
day=2; type=withdrawal; amount=95
day=4; type=withdrawal; amount=85
day=5; type=withdrawal; amount=145
day=8; type=withdrawal; amount=160
day=12; type=deposit; amount=195
day=15; type=deposit; amount=10
day=26; type=deposit; amount=40
day=28; type=deposit; amount=160 | {"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?"}, "random_is_deposit": {"type": "noul", "instructions": "What is the chance that a randomly chosen transaction is a deposit?"}... | {"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}, "random_is_deposit": {"type": "noul", "noul": 0.5}, "lowest_day": {"type": "choice", "choice": "day 8... |
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