data_source stringclasses 1
value | prompt stringlengths 980 3.04k | ability stringclasses 1
value | reward_model dict | extra_info dict |
|---|---|---|---|---|
dbpedia50 |
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": [
"1000_Smiling_Knuckles",
"Anglo-Burmese_people"
],
"ground_truth": [
[
"1000_Smiling_Knuckles",
"genre",
"Grunge"
],
[
"Grunge",
"genre_r",
"Screaming_Life/Fopp"
],
[
"Screaming_Life/Fopp",
"language",
"English_langu... |
dbpedia50 |
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": [
"100_(30_Rock)",
"Frank_Westheimer"
],
"ground_truth": [
[
"100_(30_Rock)",
"guest",
"Rachel_Dratch"
],
[
"Rachel_Dratch",
"almaMater",
"Dartmouth_College"
],
[
"Dartmouth_College",
"almaMater_r",
"Frank_Westheimer"
... |
dbpedia50 |
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": [
"12_Monkeys",
"The_Killer_That_Stalked_New_York"
],
"ground_truth": [
[
"12_Monkeys",
"distributor",
"Universal_Studios"
],
[
"Universal_Studios",
"distributor_r",
"Scarlet_Street"
],
[
"Scarlet_Street",
"musicComposer",
... |
dbpedia50 |
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": [
"17_Days_(song)",
"Vanity_6"
],
"ground_truth": [
[
"17_Days_(song)",
"writer",
"Doctor_Fink"
],
[
"Doctor_Fink",
"associatedBand",
"Vanity_6"
]
],
"gt_cost": 0.3394680369359713,
"valid_edges": [
[
"Doctor_Fink",
"as... |
dbpedia50 |
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": [
"17th_Combat_Service_Support_Brigade_(Australia)",
"BBC"
],
"ground_truth": [
[
"17th_Combat_Service_Support_Brigade_(Australia)",
"type",
"Logistics"
],
[
"Logistics",
"service_r",
"Future_Group"
],
[
"Future_Group",
"ser... |
dbpedia50 |
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": [
"1932_Ford",
"Modena"
],
"ground_truth": [
[
"1932_Ford",
"bodyStyle",
"Convertible"
],
[
"Convertible",
"bodyStyle_r",
"Ferrari_Mondial"
],
[
"Ferrari_Mondial",
"assembly",
"Modena"
]
],
"gt_cost": 0.3722821... |
dbpedia50 |
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": [
"1968_United_States_Grand_Prix",
"1976_Dutch_Grand_Prix"
],
"ground_truth": [
[
"1968_United_States_Grand_Prix",
"firstRace_r",
"Mario_Andretti"
],
[
"Mario_Andretti",
"thirdDriver_r",
"1976_Dutch_Grand_Prix"
]
],
"gt_cost": 0.2582946... |
dbpedia50 |
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": [
"1968_United_States_Grand_Prix",
"Mario_Andretti"
],
"ground_truth": [
[
"1968_United_States_Grand_Prix",
"firstRace_r",
"Mario_Andretti"
]
],
"gt_cost": 0.0772189166499186,
"valid_edges": [
[
"Mario_Andretti",
"firstRace",
"1968_United... |
dbpedia50 |
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": [
"1973_Spanish_Grand_Prix",
"Roman_Hryhorchuk"
],
"ground_truth": [
[
"1973_Spanish_Grand_Prix",
"location",
"Barcelona"
],
[
"Barcelona",
"agency_r",
"Irina_Shayk"
],
[
"Irina_Shayk",
"birthPlace",
"Soviet_Union"
... |
dbpedia50 |
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": [
"1976_Dutch_Grand_Prix",
"Mario_Andretti"
],
"ground_truth": [
[
"1976_Dutch_Grand_Prix",
"thirdDriver",
"Mario_Andretti"
]
],
"gt_cost": 0.21832266885705975,
"valid_edges": [
[
"1976_Dutch_Grand_Prix",
"thirdDriver",
"Mario_Andretti"
... |
dbpedia50 |
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": [
"1983_German_Grand_Prix",
"RAF_Second_Tactical_Air_Force"
],
"ground_truth": [
[
"1983_German_Grand_Prix",
"location",
"Hockenheim"
],
[
"Hockenheim",
"country",
"Germany"
],
[
"Germany",
"garrison_r",
"RAF_Butzweile... |
dbpedia50 |
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": [
"1986_Canadian_Grand_Prix",
"1988_Monaco_Grand_Prix"
],
"ground_truth": [
[
"1986_Canadian_Grand_Prix",
"secondDriver",
"Alain_Prost"
],
[
"Alain_Prost",
"firstDriver_r",
"1988_Monaco_Grand_Prix"
]
],
"gt_cost": 0.42544072991734877,
... |
dbpedia50 |
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": [
"1986–87_Newcastle_United_F.C._season",
"The_Children's_Channel"
],
"ground_truth": [
[
"1986–87_Newcastle_United_F.C._season",
"homeStadium",
"St_James'_Park"
],
[
"St_James'_Park",
"location",
"Newcastle_upon_Tyne"
],
[
"Newca... |
dbpedia50 |
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": [
"1988_Maldives_coup_d'état",
"Narendra_Modi"
],
"ground_truth": [
[
"1988_Maldives_coup_d'état",
"commander",
"Rajiv_Gandhi"
],
[
"Rajiv_Gandhi",
"nationality",
"Indian_nationality_law"
],
[
"Indian_nationality_law",
"nati... |
dbpedia50 |
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": [
"1989_Belgian_Grand_Prix",
"Hockenheim"
],
"ground_truth": [
[
"1989_Belgian_Grand_Prix",
"fastestDriver",
"Alain_Prost"
],
[
"Alain_Prost",
"fastestDriver_r",
"1984_German_Grand_Prix"
],
[
"1984_German_Grand_Prix",
"locat... |
dbpedia50 |
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": [
"1999–2000_Tottenham_Hotspur_F.C._season",
"2000–01_Tottenham_Hotspur_F.C._season"
],
"ground_truth": [
[
"1999–2000_Tottenham_Hotspur_F.C._season",
"predecessor_r",
"2000–01_Tottenham_Hotspur_F.C._season"
]
],
"gt_cost": 0.21234236140125498,
"valid_edges": ... |
dbpedia50 |
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": [
"1st_Connecticut_Heavy_Artillery_Regiment",
"6th_Maine_Battery"
],
"ground_truth": [
[
"1st_Connecticut_Heavy_Artillery_Regiment",
"battle",
"Battle_of_Mine_Run"
],
[
"Battle_of_Mine_Run",
"battle_r",
"6th_Maine_Battery"
]
],
"gt_cost... |
dbpedia50 |
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": [
"1st_Division_(Iraq)",
"Robert_C._MacKenzie"
],
"ground_truth": [
[
"1st_Division_(Iraq)",
"battle",
"Gulf_War"
],
[
"Gulf_War",
"battle_r",
"Ralph_Eberhart"
],
[
"Ralph_Eberhart",
"award",
"Vietnam_Service_Medal"
... |
dbpedia50 |
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": [
"2/11th_Battalion_(Australia)",
"Bückeburg"
],
"ground_truth": [
[
"2/11th_Battalion_(Australia)",
"battle",
"North_African_Campaign"
],
[
"North_African_Campaign",
"battle_r",
"Heinrich_Baron_von_Behr"
],
[
"Heinrich_Baron_von_... |
dbpedia50 |
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": [
"20/20_(Dilated_Peoples_album)",
"Pablo_de_Rokha"
],
"ground_truth": [
[
"20/20_(Dilated_Peoples_album)",
"genre",
"Hip_hop_music"
],
[
"Hip_hop_music",
"genre_r",
"Nat_Powers"
],
[
"Nat_Powers",
"occupation",
"Poet"... |
dbpedia50 |
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": [
"2001_Cerezo_Osaka_season",
"2001_Tokyo_Verdy_1969_season"
],
"ground_truth": [
[
"2001_Cerezo_Osaka_season",
"team",
"Cerezo_Osaka"
],
[
"Cerezo_Osaka",
"managerClub_r",
"Yasutaro_Matsuki"
],
[
"Yasutaro_Matsuki",
"manage... |
dbpedia50 |
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": [
"2001_Yokohama_F._Marinos_season",
"Valdir_Espinosa"
],
"ground_truth": [
[
"2001_Yokohama_F._Marinos_season",
"manager",
"Sebastião_Lazaroni"
],
[
"Sebastião_Lazaroni",
"managerClub",
"Grêmio_Foot-Ball_Porto_Alegrense"
],
[
"Gr... |
dbpedia50 |
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": [
"2007_European_Grand_Prix",
"Paul_Winterhart"
],
"ground_truth": [
[
"2007_European_Grand_Prix",
"location",
"Germany"
],
[
"Germany",
"significantProject_r",
"Ian_Liddell"
],
[
"Ian_Liddell",
"significantProject",
"... |
dbpedia50 |
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": [
"2010–11_Atlante_F.C._season",
"Edgar_Castillo"
],
"ground_truth": [
[
"2010–11_Atlante_F.C._season",
"currentMember",
"Luis_Ángel_Landín"
],
[
"Luis_Ángel_Landín",
"team",
"Mexico_national_football_team"
],
[
"Mexico_national_f... |
dbpedia50 |
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": [
"2011–12_Stevenage_F.C._season",
"Rotherham_United_F.C."
],
"ground_truth": [
[
"2011–12_Stevenage_F.C._season",
"league",
"Football_League_One"
],
[
"Football_League_One",
"league_r",
"Scunthorpe_United_F.C."
],
[
"Scunthorpe_U... |
dbpedia50 |
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": [
"2012_Chicago_Fire_season",
"2013_Chicago_Fire_season"
],
"ground_truth": [
[
"2012_Chicago_Fire_season",
"predecessor_r",
"2013_Chicago_Fire_season"
]
],
"gt_cost": 0.2229613556972444,
"valid_edges": [
[
"2013_Chicago_Fire_season",
"predeces... |
dbpedia50 |
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": [
"2012_FC_Dallas_season",
"2013_FC_Dallas_season"
],
"ground_truth": [
[
"2012_FC_Dallas_season",
"predecessor_r",
"2013_FC_Dallas_season"
]
],
"gt_cost": 0.21234236140125498,
"valid_edges": [
[
"2013_FC_Dallas_season",
"predecessor",
"2... |
dbpedia50 |
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": [
"2012_German_Grand_Prix",
"Münchener_Freiheit"
],
"ground_truth": [
[
"2012_German_Grand_Prix",
"location",
"Germany"
],
[
"Germany",
"hometown_r",
"Münchener_Freiheit"
]
],
"gt_cost": 0.40338303223843225,
"valid_edges": [
[
... |
dbpedia50 |
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": [
"2012–13_FC_Sion_season",
"Sébastien_Fournier"
],
"ground_truth": [
[
"2012–13_FC_Sion_season",
"manager",
"Sébastien_Fournier"
]
],
"gt_cost": 0.19548482148976556,
"valid_edges": [
[
"2012–13_FC_Sion_season",
"manager",
"Sébastien_Four... |
dbpedia50 |
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": [
"2012–13_Real_Betis_season",
"Estadio_Benito_Villamarín"
],
"ground_truth": [
[
"2012–13_Real_Betis_season",
"homeStadium",
"Estadio_Benito_Villamarín"
]
],
"gt_cost": 0.09872134880599082,
"valid_edges": [
[
"2012–13_Real_Betis_season",
"home... |
dbpedia50 |
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": [
"2012–13_Stevenage_F.C._season",
"Manchester_City_F.C._Reserves_and_Academy"
],
"ground_truth": [
[
"2012–13_Stevenage_F.C._season",
"league",
"Football_League_One"
],
[
"Football_League_One",
"league_r",
"Chesterfield_F.C."
],
[
... |
dbpedia50 |
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": [
"2013_São_Paulo_FC_season",
"André_Luiz_Tavares"
],
"ground_truth": [
[
"2013_São_Paulo_FC_season",
"manager",
"Paulo_Autuori"
],
[
"Paulo_Autuori",
"managerClub",
"Botafogo_de_Futebol_e_Regatas"
],
[
"Botafogo_de_Futebol_e_Rega... |
dbpedia50 |
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": [
"2013–14_Dallas_Sidekicks_season",
"Tatu_(soccer)"
],
"ground_truth": [
[
"2013–14_Dallas_Sidekicks_season",
"manager",
"Tatu_(soccer)"
]
],
"gt_cost": 0.21234236140125498,
"valid_edges": [
[
"2013–14_Dallas_Sidekicks_season",
"manager",
... |
dbpedia50 |
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": [
"2014_British_Grand_Prix",
"2014_Singapore_Grand_Prix"
],
"ground_truth": [
[
"2014_British_Grand_Prix",
"thirdDriver",
"Daniel_Ricciardo"
],
[
"Daniel_Ricciardo",
"thirdDriver_r",
"2014_Singapore_Grand_Prix"
]
],
"gt_cost": 0.3849893... |
dbpedia50 |
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": [
"2014–15_Hertha_BSC_season",
"Oxford_Scientific_Films"
],
"ground_truth": [
[
"2014–15_Hertha_BSC_season",
"homeStadium",
"Germany"
],
[
"Germany",
"significantProject_r",
"Ian_Liddell"
],
[
"Ian_Liddell",
"significantProj... |
dbpedia50 |
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": [
"2014–15_Serbian_First_League",
"Oh_Beom-seok"
],
"ground_truth": [
[
"2014–15_Serbian_First_League",
"season_r",
"FK_Kolubara"
],
[
"FK_Kolubara",
"team_r",
"Bojan_Mišić"
],
[
"Bojan_Mišić",
"currentMember_r",
"List... |
dbpedia50 |
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": [
"2015_Norwegian_First_Division",
"Strømmen_IF"
],
"ground_truth": [
[
"2015_Norwegian_First_Division",
"season_r",
"Strømmen_IF"
]
],
"gt_cost": 0.09073950421148685,
"valid_edges": [
[
"Strømmen_IF",
"season",
"2015_Norwegian_First_Divi... |
dbpedia50 |
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": [
"201st_Fighter_Squadron_(Mexico)",
"Battle_of_Luzon"
],
"ground_truth": [
[
"201st_Fighter_Squadron_(Mexico)",
"battle",
"Battle_of_Luzon"
]
],
"gt_cost": 0.13659298620591206,
"valid_edges": [
[
"201st_Fighter_Squadron_(Mexico)",
"battle",
... |
dbpedia50 |
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": [
"29th_Regiment_Massachusetts_Volunteer_Infantry",
"Michael_Hastings_(politician)"
],
"ground_truth": [
[
"29th_Regiment_Massachusetts_Volunteer_Infantry",
"commandStructure",
"IX_Corps_(Union_Army)"
],
[
"IX_Corps_(Union_Army)",
"notableCommander",... |
dbpedia50 |
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": [
"2_Sisters_Food_Group",
"Bubble_Boy_(film)"
],
"ground_truth": [
[
"2_Sisters_Food_Group",
"regionServed",
"Poland"
],
[
"Poland",
"stateOfOrigin_r",
"Jerzy_Zieliński"
],
[
"Jerzy_Zieliński",
"cinematography_r",
"Bub... |
dbpedia50 |
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": [
"2nd_Marine_Aircraft_Wing",
"5th_Cavalry_Regiment"
],
"ground_truth": [
[
"2nd_Marine_Aircraft_Wing",
"battle",
"Gulf_War"
],
[
"Gulf_War",
"battle_r",
"5th_Cavalry_Regiment"
]
],
"gt_cost": 0.3520602706500008,
"valid_edges": [
... |
dbpedia50 |
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": [
"30th_Ohio_Infantry",
"Second_Battle_of_Saltville"
],
"ground_truth": [
[
"30th_Ohio_Infantry",
"battle",
"Battle_of_Kennesaw_Mountain"
],
[
"Battle_of_Kennesaw_Mountain",
"battle_r",
"12th_Regiment_Kentucky_Volunteer_Cavalry"
],
[
... |
dbpedia50 |
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": [
"30th_Ohio_Infantry",
"Thomas_W._Hyde"
],
"ground_truth": [
[
"30th_Ohio_Infantry",
"battle",
"Battle_of_Kennesaw_Mountain"
],
[
"Battle_of_Kennesaw_Mountain",
"battle_r",
"Myles_Keogh"
],
[
"Myles_Keogh",
"battle",
... |
dbpedia50 |
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": [
"32nd_Infantry_Regiment_(United_States)",
"Hyundai_Trajet"
],
"ground_truth": [
[
"32nd_Infantry_Regiment_(United_States)",
"battle",
"Battle_of_Inchon"
],
[
"Battle_of_Inchon",
"place",
"South_Korea"
],
[
"South_Korea",
"... |
dbpedia50 |
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": [
"37th_Infantry_Brigade_Combat_Team_(United_States)",
"Ohio_Army_National_Guard"
],
"ground_truth": [
[
"37th_Infantry_Brigade_Combat_Team_(United_States)",
"commandStructure",
"Ohio_Army_National_Guard"
]
],
"gt_cost": 0.0992327444715023,
"valid_edges": [
... |
dbpedia50 |
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": [
"3rd:_Love_Paradise",
"Adam_Shaheen"
],
"ground_truth": [
[
"3rd:_Love_Paradise",
"genre",
"Dance_music"
],
[
"Dance_music",
"genre_r",
"MARRS"
],
[
"MARRS",
"hometown",
"London"
],
[
"London",
"b... |
dbpedia50 |
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": [
"3rd:_Love_Paradise",
"Mervyn_M._Dymally"
],
"ground_truth": [
[
"3rd:_Love_Paradise",
"genre",
"Dance_music"
],
[
"Dance_music",
"genre_r",
"Haddaway"
],
[
"Haddaway",
"birthPlace",
"Trinidad_and_Tobago"
],
... |
dbpedia50 |
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": [
"480i",
"Monologue"
],
"ground_truth": [
[
"480i",
"format_r",
"The_Cat_in_the_Hat_Knows_a_Lot_About_That!"
],
[
"The_Cat_in_the_Hat_Knows_a_Lot_About_That!",
"company",
"Random_House"
],
[
"Random_House",
"publisher_r",
... |
dbpedia50 |
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": [
"4th_Division_(German_Empire)",
"Marco_Stiepermann"
],
"ground_truth": [
[
"4th_Division_(German_Empire)",
"garrison",
"Torgau"
],
[
"Torgau",
"country",
"Germany"
],
[
"Germany",
"birthPlace_r",
"Marco_Stiepermann"
... |
dbpedia50 |
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": [
"5th_Cavalry_Regiment",
"Anton_Makarenko"
],
"ground_truth": [
[
"5th_Cavalry_Regiment",
"battle",
"Gulf_War"
],
[
"Gulf_War",
"usedInWar_r",
"Dragunov_sniper_rifle"
],
[
"Dragunov_sniper_rifle",
"origin",
"Soviet_Un... |
dbpedia50 |
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": [
"625_Thrashcore",
"Artie_Butler"
],
"ground_truth": [
[
"625_Thrashcore",
"recordLabel_r",
"Exhumed_(band)"
],
[
"Exhumed_(band)",
"genre",
"Goregrind"
],
[
"Goregrind",
"instrument",
"Drum_kit"
],
[
"D... |
dbpedia50 |
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": [
"65th_Infantry_Regiment_(United_States)",
"Kampfgeschwader_77"
],
"ground_truth": [
[
"65th_Infantry_Regiment_(United_States)",
"battle",
"Western_Allied_invasion_of_Germany"
],
[
"Western_Allied_invasion_of_Germany",
"place",
"Germany"
]... |
dbpedia50 |
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": [
"679_Artists",
"Nick_De_Santis"
],
"ground_truth": [
[
"679_Artists",
"location",
"London"
],
[
"London",
"birthPlace_r",
"Chris_Bennett_(soccer)"
],
[
"Chris_Bennett_(soccer)",
"team",
"Canada_men's_national_soccer_... |
dbpedia50 |
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": [
"6th_Army_(Soviet_Union)",
"Raj_Pannu"
],
"ground_truth": [
[
"6th_Army_(Soviet_Union)",
"country",
"Soviet_Union"
],
[
"Soviet_Union",
"stateOfOrigin_r",
"Anatol_Ciobanu"
],
[
"Anatol_Ciobanu",
"occupation",
"Profes... |
dbpedia50 |
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": [
"7TWO",
"7flix"
],
"ground_truth": [
[
"7TWO",
"sisterStation",
"7flix"
]
],
"gt_cost": 0.13075781266573366,
"valid_edges": [
[
"7TWO",
"sisterStation_r",
"7flix"
],
[
"7TWO",
"sisterStation",
"7flix"
],
... |
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