data_source stringclasses 1
value | prompt stringlengths 1.49k 2.64k | ability stringclasses 1
value | reward_model dict | extra_info dict |
|---|---|---|---|---|
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"British_Virgin_Islands",
"Yervand_Sukiasyan"
],
"ground_truth": [
[
"Member_of_parliament",
"isLeaderOf",
"British_Virgin_Islands"
],
[
"Member_of_parliament",
"hasGender",
"male"
],
[
"Yervand_Sukiasyan",
"hasGender",
... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"Butuan",
"Siskiyou_County,_California"
],
"ground_truth": [
[
"Butuan",
"isLocatedIn",
"Philippines"
],
[
"Philippines",
"dealsWith",
"United_States"
],
[
"Siskiyou_County,_California",
"isLocatedIn",
"United_States... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"Carlos,_Duke_of_Madrid",
"Guerino_Vanoli_Basket"
],
"ground_truth": [
[
"Carlos,_Duke_of_Madrid",
"diedIn",
"Varese"
],
[
"Varese",
"isLocatedIn",
"Italy"
],
[
"Guerino_Vanoli_Basket",
"isLocatedIn",
"Italy"
]
... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"A._E._W._Mason",
"Jan_Vennegoor_of_Hesselink"
],
"ground_truth": [
[
"A._E._W._Mason",
"hasGender",
"male"
],
[
"Jan_Vennegoor_of_Hesselink",
"hasGender",
"male"
]
],
"gt_cost": 0.451163459954024,
"valid_edges": [
[
"Jan_... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"Ayr_United_F.C.",
"Moses_Sakyi"
],
"ground_truth": [
[
"Archibald_Leitch",
"created",
"Ayr_United_F.C."
],
[
"Archibald_Leitch",
"hasGender",
"male"
],
[
"Moses_Sakyi",
"hasGender",
"male"
]
],
"gt_cost": 0.... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"Chris_Brown",
"University_of_Ghana"
],
"ground_truth": [
[
"Chris_Brown",
"hasGender",
"male"
],
[
"John_Dramani_Mahama",
"hasGender",
"male"
],
[
"John_Dramani_Mahama",
"graduatedFrom",
"University_of_Ghana"
]
... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"Bryn_Mawr_College",
"Rogers_Communications"
],
"ground_truth": [
[
"Jane_Dammen_McAuliffe",
"worksAt",
"Bryn_Mawr_College"
],
[
"Jane_Dammen_McAuliffe",
"worksAt",
"University_of_Toronto"
],
[
"University_of_Toronto",
"is... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"Burlington,_Wisconsin",
"Lyudmyla_Pekur"
],
"ground_truth": [
[
"Burlington,_Wisconsin",
"isLocatedIn",
"Wisconsin"
],
[
"Tammy_Baldwin",
"livesIn",
"Wisconsin"
],
[
"Tammy_Baldwin",
"hasGender",
"female"
],
... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"Ricardo_André",
"Vivian_Rich"
],
"ground_truth": [
[
"Ricardo_André",
"hasGender",
"male"
],
[
"Jacques_Jaccard",
"hasGender",
"male"
],
[
"Jacques_Jaccard",
"created",
"Trapped_in_a_Forest_Fire"
],
[
... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"Samajwadi_Party",
"South_Haven,_Michigan"
],
"ground_truth": [
[
"Samajwadi_Party",
"isLocatedIn",
"Delhi"
],
[
"India",
"hasCapital",
"Delhi"
],
[
"India",
"dealsWith",
"United_States"
],
[
"South_Hav... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"Mayilsamy",
"Shel_Silverstein"
],
"ground_truth": [
[
"Mayilsamy",
"hasGender",
"male"
],
[
"Shel_Silverstein",
"hasGender",
"male"
]
],
"gt_cost": 0.44968529851254146,
"valid_edges": [
[
"Mayilsamy",
"hasGender",
... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"Caledonia_County,_Vermont",
"Sullivan_County,_Pennsylvania"
],
"ground_truth": [
[
"Caledonia_County,_Vermont",
"isLocatedIn",
"Vermont"
],
[
"Saint_Lawrence_River",
"isLocatedIn",
"Vermont"
],
[
"Saint_Lawrence_River",
"... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"Boguszów-Gorce",
"Kevin_Hartman"
],
"ground_truth": [
[
"Boguszów-Gorce",
"isLocatedIn",
"Poland"
],
[
"Donald_Tusk",
"isLeaderOf",
"Poland"
],
[
"Donald_Tusk",
"hasGender",
"male"
],
[
"Kevin_Hartman"... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"Webster_Groves,_Missouri",
"Wisarut_Pannasri"
],
"ground_truth": [
[
"Edward_T._Hall",
"wasBornIn",
"Webster_Groves,_Missouri"
],
[
"Edward_T._Hall",
"hasGender",
"male"
],
[
"Wisarut_Pannasri",
"hasGender",
"male"
... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"John_Pedersen_(arms_designer)",
"The_Big_Lebowski"
],
"ground_truth": [
[
"John_Pedersen_(arms_designer)",
"wasBornIn",
"Grand_Island,_Nebraska"
],
[
"Grand_Island,_Nebraska",
"isLocatedIn",
"United_States"
],
[
"The_Big_Lebows... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"RoboCop_2",
"Yantai"
],
"ground_truth": [
[
"RoboCop_2",
"isLocatedIn",
"United_States"
],
[
"United_States",
"dealsWith",
"China"
],
[
"Yantai",
"isLocatedIn",
"China"
]
],
"gt_cost": 0.5759491254162166,
... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"Fotis_Kafatos",
"Little_Man_Tate_(band)"
],
"ground_truth": [
[
"Fotis_Kafatos",
"hasGender",
"male"
],
[
"Little_Man_Tate_(band)",
"hasGender",
"male"
]
],
"gt_cost": 0.42716868830326266,
"valid_edges": [
[
"Fotis_Kafato... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"Elizabeth_Bear",
"Nilgiris_district"
],
"ground_truth": [
[
"Elizabeth_Bear",
"hasGender",
"female"
],
[
"Jayalalithaa",
"hasGender",
"female"
],
[
"Jayalalithaa",
"isLeaderOf",
"Tamil_Nadu"
],
[
"Nilg... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"Giuseppe_Signori",
"José_Monteiro_de_Macedo"
],
"ground_truth": [
[
"Giuseppe_Signori",
"hasGender",
"male"
],
[
"José_Monteiro_de_Macedo",
"hasGender",
"male"
]
],
"gt_cost": 0.46240820587444353,
"valid_edges": [
[
"Gius... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"Piotr_Jaroszewicz",
"Twinkle_Khanna"
],
"ground_truth": [
[
"Piotr_Jaroszewicz",
"hasGender",
"male"
],
[
"Akshay_Kumar",
"hasGender",
"male"
],
[
"Akshay_Kumar",
"isMarriedTo",
"Twinkle_Khanna"
]
],
"gt_cos... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"Chris_McAlpine",
"Larry_Hagman"
],
"ground_truth": [
[
"Chris_McAlpine",
"hasGender",
"male"
],
[
"Larry_Hagman",
"hasGender",
"male"
]
],
"gt_cost": 0.4521415435432213,
"valid_edges": [
[
"Larry_Hagman",
"hasGender... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"Ezequiel_Maggiolo",
"Sabyasachi_Chakrabarty"
],
"ground_truth": [
[
"Ezequiel_Maggiolo",
"hasGender",
"male"
],
[
"Sabyasachi_Chakrabarty",
"hasGender",
"male"
]
],
"gt_cost": 0.45316024365571245,
"valid_edges": [
[
"Ezeq... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"Hancock_(film)",
"Scottrade_Center"
],
"ground_truth": [
[
"Hancock_(film)",
"isLocatedIn",
"United_States"
],
[
"Scottrade_Center",
"isLocatedIn",
"United_States"
]
],
"gt_cost": 0.4390568889056785,
"valid_edges": [
[
"S... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"Harry_Potter_(film_series)",
"Italian_Communist_Party"
],
"ground_truth": [
[
"Harry_Potter_(film_series)",
"isLocatedIn",
"United_States"
],
[
"Richard_D._Wolff",
"isCitizenOf",
"United_States"
],
[
"Antonio_Gramsci",
"i... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"FC_Irtysh_Pavlodar",
"Miguel_Villalta"
],
"ground_truth": [
[
"Konstantin_Yeryomenko",
"playsFor",
"FC_Irtysh_Pavlodar"
],
[
"Konstantin_Yeryomenko",
"hasGender",
"male"
],
[
"Miguel_Villalta",
"hasGender",
"male"
... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"Cédric_Duchesne",
"Raiguer"
],
"ground_truth": [
[
"Cédric_Duchesne",
"wasBornIn",
"Caen"
],
[
"France",
"hasCapital",
"Caen"
],
[
"France",
"isLocatedIn",
"Europe"
],
[
"Raiguer",
"isLocatedIn",... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"Omar_Enrique_Mallea",
"Óscar_Emilio_Rojas"
],
"ground_truth": [
[
"Omar_Enrique_Mallea",
"playsFor",
"Rangers_de_Talca"
],
[
"Eduardo_Dos_Santos",
"playsFor",
"Rangers_de_Talca"
],
[
"Eduardo_Dos_Santos",
"playsFor",
... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"Austria_national_under-19_football_team",
"Winston_DuBose"
],
"ground_truth": [
[
"Julius_Perstaller",
"playsFor",
"Austria_national_under-19_football_team"
],
[
"Julius_Perstaller",
"hasGender",
"male"
],
[
"Winston_DuBose",
... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"Amanda_Seyfried",
"Berwyn,_Illinois"
],
"ground_truth": [
[
"Amanda_Seyfried",
"hasGender",
"female"
],
[
"Jane_Byrne",
"hasGender",
"female"
],
[
"Jane_Byrne",
"livesIn",
"Illinois"
],
[
"Berwyn,_Illi... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"Gina_McKee",
"Otman_Djellilahine"
],
"ground_truth": [
[
"Gina_McKee",
"actedIn",
"In_the_Loop_(film)"
],
[
"Armando_Iannucci",
"directed",
"In_the_Loop_(film)"
],
[
"Armando_Iannucci",
"hasGender",
"male"
],
... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"Lewis_Taylor",
"Sven_Fischer_(footballer)"
],
"ground_truth": [
[
"Lewis_Taylor",
"hasGender",
"male"
],
[
"Sven_Fischer_(footballer)",
"hasGender",
"male"
]
],
"gt_cost": 0.44139951177381387,
"valid_edges": [
[
"Lewis_Ta... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"Johnnie_To",
"University_of_Southern_Denmark"
],
"ground_truth": [
[
"Johnnie_To",
"wasBornIn",
"Hong_Kong"
],
[
"Hong_Kong",
"dealsWith",
"China"
],
[
"Denmark",
"dealsWith",
"China"
],
[
"University_... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"Gmina_Ostrów_Mazowiecka",
"Order_of_the_White_Star"
],
"ground_truth": [
[
"Ostrów_Mazowiecka",
"isLocatedIn",
"Gmina_Ostrów_Mazowiecka"
],
[
"Ostrów_Mazowiecka",
"isLocatedIn",
"Poland"
],
[
"Ignacy_Mościcki",
"isPolitic... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"P._J._Soles",
"The_Big_Knife"
],
"ground_truth": [
[
"P._J._Soles",
"actedIn",
"Stripes_(film)"
],
[
"Michael_Luciano",
"edited",
"Stripes_(film)"
],
[
"Michael_Luciano",
"edited",
"The_Big_Knife"
]
],
"gt_c... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"Dharwad_district",
"Middleburgh,_New_York"
],
"ground_truth": [
[
"Dharwad_district",
"isLocatedIn",
"Karnataka"
],
[
"Karnataka",
"isLocatedIn",
"India"
],
[
"India",
"dealsWith",
"United_States"
],
[
... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"Anthony_Bonner",
"Mezhdurechensk,_Kemerovo_Oblast"
],
"ground_truth": [
[
"Anthony_Bonner",
"isAffiliatedTo",
"BC_UNICS"
],
[
"BC_UNICS",
"isLocatedIn",
"Russia"
],
[
"West_Siberian_economic_region",
"isLocatedIn",
... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"Augustus,_Elector_of_Saxony",
"Péter_Máté_(footballer)"
],
"ground_truth": [
[
"Augustus,_Elector_of_Saxony",
"hasGender",
"male"
],
[
"Péter_Máté_(footballer)",
"hasGender",
"male"
]
],
"gt_cost": 0.4466516852989713,
"valid_edges"... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"Hebert_Revetria",
"Malacca_(state)"
],
"ground_truth": [
[
"Hebert_Revetria",
"wasBornIn",
"Montevideo"
],
[
"Uruguay",
"hasCapital",
"Montevideo"
],
[
"Uruguay",
"imports",
"wordnet_petroleum_114980579"
],
... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"Almtuna_IS",
"Jackie_Whitehouse"
],
"ground_truth": [
[
"Sami_Ryhänen",
"isAffiliatedTo",
"Almtuna_IS"
],
[
"Sami_Ryhänen",
"hasGender",
"male"
],
[
"Jackie_Whitehouse",
"hasGender",
"male"
]
],
"gt_cost": 0... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"Ask_a_Policeman",
"Axel_Honneth"
],
"ground_truth": [
[
"Ask_a_Policeman",
"isLocatedIn",
"United_Kingdom"
],
[
"John_Stuart_Mill",
"livesIn",
"United_Kingdom"
],
[
"John_Stuart_Mill",
"isInterestedIn",
"Political_p... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"Persipura_Jayapura",
"Ángel_Cuéllar"
],
"ground_truth": [
[
"Heru_Nerly",
"playsFor",
"Persipura_Jayapura"
],
[
"Heru_Nerly",
"hasGender",
"male"
],
[
"Ángel_Cuéllar",
"hasGender",
"male"
]
],
"gt_cost": 0.6... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"Grey_Gardens_(2009_film)",
"Isaac_Pupo"
],
"ground_truth": [
[
"Alan_Heim",
"edited",
"Grey_Gardens_(2009_film)"
],
[
"Alan_Heim",
"hasGender",
"male"
],
[
"Isaac_Pupo",
"hasGender",
"male"
]
],
"gt_cost": 0... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"David_Sedaris",
"Webster_University"
],
"ground_truth": [
[
"David_Sedaris",
"isCitizenOf",
"United_States"
],
[
"Webster_University",
"isLocatedIn",
"United_States"
]
],
"gt_cost": 0.3892674339082857,
"valid_edges": [
[
... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"Andrew_Sousa",
"Denys_Sokolovskyi"
],
"ground_truth": [
[
"Andrew_Sousa",
"hasGender",
"male"
],
[
"Maicon_Pereira_de_Oliveira",
"hasGender",
"male"
],
[
"Maicon_Pereira_de_Oliveira",
"diedIn",
"Donetsk"
],
... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"3_Dumb_Clucks",
"FC_Midtjylland_Håndbold"
],
"ground_truth": [
[
"3_Dumb_Clucks",
"isLocatedIn",
"United_States"
],
[
"Norway",
"dealsWith",
"United_States"
],
[
"Gro_Hammerseng",
"isCitizenOf",
"Norway"
],
... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"Edgar_Villamarín",
"Marcin_Sobczak"
],
"ground_truth": [
[
"Edgar_Villamarín",
"hasGender",
"male"
],
[
"Sebastian_Nowak",
"hasGender",
"male"
],
[
"Sebastian_Nowak",
"wasBornIn",
"Jastrzębie-Zdrój"
],
[
... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"Cliffhanger_(film)",
"Ramazan_Abbasov"
],
"ground_truth": [
[
"Cliffhanger_(film)",
"isLocatedIn",
"United_States"
],
[
"Azerbaijan",
"dealsWith",
"United_States"
],
[
"Sumgayit_FK",
"owns",
"Azerbaijan"
],
... |
YAGO |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"BK_Astrio",
"Louis_the_Stammerer"
],
"ground_truth": [
[
"Erik_Wahlstedt",
"playsFor",
"BK_Astrio"
],
[
"Erik_Wahlstedt",
"hasGender",
"male"
],
[
"Louis_the_Stammerer",
"hasGender",
"male"
]
],
"gt_cost": 0... |
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