data_source stringclasses 1
value | prompt stringlengths 974 7.37k | 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"
],
"valid_edges": [
[
"1000_Smiling_Knuckles",
"genre",
"Grunge"
],
[
"Anglo-Burmese_people",
"language",
"English_language"
],
[
"Mother_Love_Bone_(album)",
"genre",
"... |
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"
],
"valid_edges": [
[
"100_(30_Rock)",
"guest",
"Rachel_Dratch"
],
[
"Frank_Westheimer",
"almaMater",
"Dartmouth_College"
],
[
"Rachel_Dratch",
"almaMater",
"Dartmouth_College"
... |
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"
],
"valid_edges": [
[
"12_Monkeys",
"distributor",
"Universal_Studios"
],
[
"Bedtime_Story_(1964_film)",
"distributor",
"Universal_Studios"
],
[
"Bedtime_Story_(1964_film)",
... |
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"
],
"valid_edges": [
[
"17_Days_(song)",
"writer",
"Doctor_Fink"
],
[
"Doctor_Fink",
"associatedBand",
"Vanity_6"
],
[
"Doctor_Fink",
"associatedMusicalArtist",
"Vanity_6"
]
],
"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": [
"17th_Combat_Service_Support_Brigade_(Australia)",
"BBC"
],
"valid_edges": [
[
"17th_Combat_Service_Support_Brigade_(Australia)",
"type",
"Logistics"
],
[
"BBC",
"industry",
"Mass_media"
],
[
"Future_Group",
"industry",
... |
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"
],
"valid_edges": [
[
"1932_Ford",
"bodyStyle",
"Convertible"
],
[
"Ferrari_Mondial",
"assembly",
"Modena"
],
[
"Ferrari_Mondial",
"bodyStyle",
"Convertible"
]
],
"ground_truth": [
[... |
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"
],
"valid_edges": [
[
"1968_United_States_Grand_Prix",
"poleDriver",
"Mario_Andretti"
],
[
"1976_Dutch_Grand_Prix",
"thirdDriver",
"Mario_Andretti"
],
[
"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": [
"1968_United_States_Grand_Prix",
"Mario_Andretti"
],
"valid_edges": [
[
"1968_United_States_Grand_Prix",
"poleDriver",
"Mario_Andretti"
],
[
"Mario_Andretti",
"firstRace",
"1968_United_States_Grand_Prix"
]
],
"ground_truth": [
[
... |
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"
],
"valid_edges": [
[
"1973_Spanish_Grand_Prix",
"location",
"Barcelona"
],
[
"Irina_Shayk",
"agency",
"Barcelona"
],
[
"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"
],
"valid_edges": [
[
"1976_Dutch_Grand_Prix",
"thirdDriver",
"Mario_Andretti"
]
],
"ground_truth": [
[
"1976_Dutch_Grand_Prix",
"thirdDriver",
"Mario_Andretti"
]
],
"gt_cost": 0.218322668... |
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"
],
"valid_edges": [
[
"1983_German_Grand_Prix",
"location",
"Hockenheim"
],
[
"1983_German_Grand_Prix",
"location",
"Hockenheimring"
],
[
"1998_German_Grand_Prix",
... |
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"
],
"valid_edges": [
[
"1986_Canadian_Grand_Prix",
"secondDriver",
"Alain_Prost"
],
[
"1988_Monaco_Grand_Prix",
"firstDriver",
"Alain_Prost"
]
],
"ground_truth": [
[
"1986_... |
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"
],
"valid_edges": [
[
"1986–87_Newcastle_United_F.C._season",
"ground",
"St_James'_Park"
],
[
"1986–87_Newcastle_United_F.C._season",
"homeStadium",
"St_James'_Park"
],
... |
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"
],
"valid_edges": [
[
"1988_Maldives_coup_d'état",
"commander",
"Rajiv_Gandhi"
],
[
"Keshubhai_Patel",
"nationality",
"Indian_nationality_law"
],
[
"Keshubhai_Patel",
"successor... |
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"
],
"valid_edges": [
[
"1983_German_Grand_Prix",
"location",
"Hockenheim"
],
[
"1983_German_Grand_Prix",
"location",
"Hockenheimring"
],
[
"1984_German_Grand_Prix",
"fastestDriver",
... |
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"
],
"valid_edges": [
[
"1999–2000_Tottenham_Hotspur_F.C._season",
"successor",
"2000–01_Tottenham_Hotspur_F.C._season"
],
[
"2000–01_Tottenham_Hotspur_F.C._season",
"... |
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"
],
"valid_edges": [
[
"1st_Connecticut_Heavy_Artillery_Regiment",
"battle",
"Battle_of_Mine_Run"
],
[
"6th_Maine_Battery",
"battle",
"Battle_of_Mine_Run"
]
],
"ground_tru... |
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"
],
"valid_edges": [
[
"1st_Division_(Iraq)",
"battle",
"Gulf_War"
],
[
"Ralph_Eberhart",
"award",
"Vietnam_Service_Medal"
],
[
"Ralph_Eberhart",
"battle",
"Gulf_War"
]... |
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"
],
"valid_edges": [
[
"2/11th_Battalion_(Australia)",
"battle",
"North_African_Campaign"
],
[
"Bückeburg",
"country",
"Germany"
],
[
"Ernst_Bolbrinker",
"battle",
"North_Af... |
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"
],
"valid_edges": [
[
"20/20_(Dilated_Peoples_album)",
"genre",
"Hip_hop_music"
],
[
"Nat_Powers",
"genre",
"Hip_hop_music"
],
[
"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"
],
"valid_edges": [
[
"2001_Cerezo_Osaka_season",
"team",
"Cerezo_Osaka"
],
[
"2001_Tokyo_Verdy_1969_season",
"manager",
"Yasutaro_Matsuki"
],
[
"Yasutaro_Matsuki",
... |
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"
],
"valid_edges": [
[
"2001_Yokohama_F._Marinos_season",
"manager",
"Sebastião_Lazaroni"
],
[
"Luiz_Bombonato_Goulart",
"team",
"Botafogo_de_Futebol_e_Regatas"
],
[
"Luiz_Bomb... |
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"
],
"valid_edges": [
[
"2007_European_Grand_Prix",
"country",
"Germany"
],
[
"2007_European_Grand_Prix",
"location",
"Germany"
],
[
"Acacia_(band)",
"hometown",
"London"
... |
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"
],
"valid_edges": [
[
"2010–11_Atlante_F.C._season",
"currentMember",
"Luis_Ángel_Landín"
],
[
"Alberto_Macías",
"team",
"Mexico_national_football_team"
],
[
"Alberto_Macías",
... |
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."
],
"valid_edges": [
[
"2011–12_Stevenage_F.C._season",
"league",
"Football_League_One"
],
[
"Chesterfield_F.C.",
"league",
"Football_League_One"
],
[
"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": [
"2012_Chicago_Fire_season",
"2013_Chicago_Fire_season"
],
"valid_edges": [
[
"2012_Chicago_Fire_season",
"successor",
"2013_Chicago_Fire_season"
],
[
"2013_Chicago_Fire_season",
"predecessor",
"2012_Chicago_Fire_season"
]
],
"ground_t... |
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"
],
"valid_edges": [
[
"2012_FC_Dallas_season",
"successor",
"2013_FC_Dallas_season"
],
[
"2013_FC_Dallas_season",
"predecessor",
"2012_FC_Dallas_season"
]
],
"ground_truth": [
[
... |
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"
],
"valid_edges": [
[
"2012_German_Grand_Prix",
"country",
"Germany"
],
[
"2012_German_Grand_Prix",
"location",
"Germany"
],
[
"Münchener_Freiheit",
"bandMember",
"Münch... |
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"
],
"valid_edges": [
[
"2012–13_FC_Sion_season",
"manager",
"Sébastien_Fournier"
]
],
"ground_truth": [
[
"2012–13_FC_Sion_season",
"manager",
"Sébastien_Fournier"
]
],
"gt_cost": 0.19... |
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"
],
"valid_edges": [
[
"2012–13_Real_Betis_season",
"ground",
"Estadio_Benito_Villamarín"
],
[
"2012–13_Real_Betis_season",
"homeStadium",
"Estadio_Benito_Villamarín"
]
],
"groun... |
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"
],
"valid_edges": [
[
"2012–13_Stevenage_F.C._season",
"league",
"Football_League_One"
],
[
"Carlos_Logan",
"team",
"Chesterfield_F.C."
],
[
"Carlos_Lo... |
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"
],
"valid_edges": [
[
"2013_São_Paulo_FC_season",
"manager",
"Paulo_Autuori"
],
[
"André_Luiz_Tavares",
"team",
"Botafogo_de_Futebol_e_Regatas"
],
[
"Paulo_Autuori",
"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": [
"2013–14_Dallas_Sidekicks_season",
"Tatu_(soccer)"
],
"valid_edges": [
[
"2013–14_Dallas_Sidekicks_season",
"manager",
"Tatu_(soccer)"
]
],
"ground_truth": [
[
"2013–14_Dallas_Sidekicks_season",
"manager",
"Tatu_(soccer)"
]
],
"gt... |
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"
],
"valid_edges": [
[
"2014_British_Grand_Prix",
"thirdDriver",
"Daniel_Ricciardo"
],
[
"2014_Singapore_Grand_Prix",
"thirdDriver",
"Daniel_Ricciardo"
]
],
"ground_truth": [
[... |
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"
],
"valid_edges": [
[
"2014–15_Hertha_BSC_season",
"ground",
"Germany"
],
[
"2014–15_Hertha_BSC_season",
"homeStadium",
"Germany"
],
[
"Bookatable",
"location",
... |
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"
],
"valid_edges": [
[
"Bojan_Mišić",
"team",
"FK_Kolubara"
],
[
"FK_Kolubara",
"season",
"2014–15_Serbian_First_League"
],
[
"List_of_Russian_football_transfers_summer_2009",
... |
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"
],
"valid_edges": [
[
"Strømmen_IF",
"season",
"2015_Norwegian_First_Division"
]
],
"ground_truth": [
[
"2015_Norwegian_First_Division",
"season_r",
"Strømmen_IF"
]
],
"gt_cost": 0.09... |
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"
],
"valid_edges": [
[
"201st_Fighter_Squadron_(Mexico)",
"battle",
"Battle_of_Luzon"
]
],
"ground_truth": [
[
"201st_Fighter_Squadron_(Mexico)",
"battle",
"Battle_of_Luzon"
]
],
... |
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)"
],
"valid_edges": [
[
"29th_Regiment_Massachusetts_Volunteer_Infantry",
"commandStructure",
"IX_Corps_(Union_Army)"
],
[
"Ambrose_Burnside",
"almaMater",
"Unite... |
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)"
],
"valid_edges": [
[
"2_Sisters_Food_Group",
"regionServed",
"Poland"
],
[
"Bubble_Boy_(film)",
"cinematography",
"Jerzy_Zieliński"
],
[
"Jerzy_Zieliński",
"nationality",
... |
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"
],
"valid_edges": [
[
"2nd_Marine_Aircraft_Wing",
"battle",
"Gulf_War"
],
[
"5th_Cavalry_Regiment",
"battle",
"Gulf_War"
]
],
"ground_truth": [
[
"2nd_Marine_Aircraft_Wing",... |
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"
],
"valid_edges": [
[
"12th_Regiment_Kentucky_Volunteer_Cavalry",
"battle",
"Battle_of_Kennesaw_Mountain"
],
[
"12th_Regiment_Kentucky_Volunteer_Cavalry",
"battle",
"Second_Battle_of_Saltvill... |
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"
],
"valid_edges": [
[
"30th_Ohio_Infantry",
"battle",
"Battle_of_Kennesaw_Mountain"
],
[
"Myles_Keogh",
"battle",
"Battle_of_Gettysburg"
],
[
"Myles_Keogh",
"battle",
"Battle_of... |
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"
],
"valid_edges": [
[
"1st_Battalion_7th_Marines",
"battle",
"Battle_of_Inchon"
],
[
"1st_Battalion_7th_Marines",
"type",
"Light_infantry"
],
[
"32nd_Infantry_Regiment_(... |
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"
],
"valid_edges": [
[
"37th_Infantry_Brigade_Combat_Team_(United_States)",
"commandStructure",
"Ohio_Army_National_Guard"
]
],
"ground_truth": [
[
"37th_Infantry_Brigade_... |
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"
],
"valid_edges": [
[
"3rd:_Love_Paradise",
"genre",
"Dance_music"
],
[
"Adam_Shaheen",
"birthPlace",
"London"
],
[
"Bananarama",
"genre",
"Dance_music"
],
[
"Banana... |
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"
],
"valid_edges": [
[
"3rd:_Love_Paradise",
"genre",
"Dance_music"
],
[
"Haddaway",
"birthPlace",
"Trinidad_and_Tobago"
],
[
"Haddaway",
"genre",
"Dance_music"
],
[
... |
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"
],
"valid_edges": [
[
"Gargoyles_(novel)",
"literaryGenre",
"Monologue"
],
[
"Gargoyles_(novel)",
"publisher",
"Random_House"
],
[
"The_Cat_in_the_Hat_Knows_a_Lot_About_That!",
"company",
"Random_... |
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"
],
"valid_edges": [
[
"2012–13_FC_Energie_Cottbus_season",
"ground",
"Germany"
],
[
"2012–13_FC_Energie_Cottbus_season",
"homeStadium",
"Germany"
],
[
"2012–13_FC_Energie_Cottb... |
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"
],
"valid_edges": [
[
"5th_Cavalry_Regiment",
"battle",
"Gulf_War"
],
[
"Anton_Makarenko",
"citizenship",
"Soviet_Union"
],
[
"Anton_Makarenko",
"deathPlace",
"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": [
"625_Thrashcore",
"Artie_Butler"
],
"valid_edges": [
[
"Artie_Butler",
"instrument",
"Drum_kit"
],
[
"Exhumed_(band)",
"genre",
"Goregrind"
],
[
"Exhumed_(band)",
"recordLabel",
"625_Thrashcore"
],
[
"G... |
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"
],
"valid_edges": [
[
"65th_Infantry_Regiment_(United_States)",
"battle",
"Western_Allied_invasion_of_Germany"
],
[
"Arnold_von_Roon",
"battle",
"Western_Allied_invasion_of_German... |
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"
],
"valid_edges": [
[
"679_Artists",
"location",
"London"
],
[
"Chris_Bennett_(soccer)",
"birthPlace",
"London"
],
[
"Chris_Bennett_(soccer)",
"team",
"Canada_men's_national_soccer_tea... |
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"
],
"valid_edges": [
[
"6th_Army_(Soviet_Union)",
"country",
"Soviet_Union"
],
[
"Anatol_Ciobanu",
"nationality",
"Soviet_Union"
],
[
"Anatol_Ciobanu",
"occupation",
"Professor"
... |
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"
],
"valid_edges": [
[
"7TWO",
"sisterStation",
"7flix"
],
[
"7flix",
"sisterStation",
"7TWO"
]
],
"ground_truth": [
[
"7TWO",
"sisterStation",
"7flix"
]
],
"gt_cost": 0.13075781266573366
} |
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": [
"9XO",
"Mujhse_Dosti_Karoge!"
],
"valid_edges": [
[
"9XO",
"headquarter",
"Mumbai"
],
[
"9XO",
"pictureFormat",
"Aspect_ratio_(image)"
],
[
"9XO",
"sisterStation",
"9X_Jhakaas"
],
[
"9X_Jhakaas",
... |
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": [
"9_Story_Media_Group",
"Fugget_About_It"
],
"valid_edges": [
[
"Fugget_About_It",
"company",
"9_Story_Media_Group"
]
],
"ground_truth": [
[
"9_Story_Media_Group",
"company_r",
"Fugget_About_It"
]
],
"gt_cost": 0.0995093490637937
} |
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": [
"A+_(rapper)",
"Dimitri_Tiomkin"
],
"valid_edges": [
[
"A+_(rapper)",
"genre",
"Hip_hop_music"
],
[
"Bella_Union",
"genre",
"Hip_hop_music"
],
[
"Bella_Union",
"location",
"London"
],
[
"Dimitri_Tiomkin... |
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": [
"A.C.D._Nardò",
"Cristian_Melinte"
],
"valid_edges": [
[
"A.C.D._Nardò",
"season",
"2013–14_Serie_D"
],
[
"Cristian_Melinte",
"team",
"Piacenza_Calcio_1919"
],
[
"Piacenza_Calcio_1919",
"season",
"2013–14_Serie_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": [
"A.C._Chievo_Verona",
"A.S.D._SolbiaSommese_Calcio"
],
"valid_edges": [
[
"Massimo_Gobbi",
"team",
"A.C._Chievo_Verona"
],
[
"Massimo_Gobbi",
"team",
"U.C._AlbinoLeffe"
],
[
"Mirco_Poloni",
"team",
"A.S.D._SolbiaSomm... |
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": [
"A.D.C._Ars_et_Labor_Grottaglie",
"Fabio_Artico"
],
"valid_edges": [
[
"A.D.C._Ars_et_Labor_Grottaglie",
"season",
"2013–14_Serie_D"
],
[
"Bruno_Arcari_(footballer)",
"managerClub",
"A.C.R._Messina"
],
[
"Bruno_Arcari_(footballe... |
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": [
"A.S.D._Battipagliese",
"Italy_national_under-21_football_team"
],
"valid_edges": [
[
"A.S.D._Battipagliese",
"season",
"2012–13_Serie_D"
],
[
"A.S._Deruta",
"season",
"2012–13_Serie_D"
],
[
"Claudio_Valigi",
"team",
... |
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": [
"A.S.D._Portogruaro",
"VfL_Wolfsburg"
],
"valid_edges": [
[
"Andrea_Pisani",
"team",
"A.S.D._Portogruaro"
],
[
"Andrea_Pisani",
"team",
"Juventus_F.C."
],
[
"Nicklas_Bendtner",
"team",
"Juventus_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": [
"A.S.D._Portogruaro",
"Vito_Di_Bari_(footballer)"
],
"valid_edges": [
[
"Piá_(footballer,_born_1982)",
"team",
"A.S.D._Portogruaro"
],
[
"Piá_(footballer,_born_1982)",
"team",
"L'Aquila_Calcio_1927"
],
[
"Vito_Di_Bari_(footballe... |
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": [
"A.S.D._S.E.F._Tempio_Pausania",
"William_da_Silva_Barbosa"
],
"valid_edges": [
[
"A.S.D._Portogruaro",
"league",
"Promozione"
],
[
"A.S.D._S.E.F._Tempio_Pausania",
"league",
"Promozione"
],
[
"William_da_Silva_Barbosa",
"... |
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": [
"A._Kodandarami_Reddy",
"Sardar_Papa_Rayudu"
],
"valid_edges": [
[
"Rustum",
"director",
"A._Kodandarami_Reddy"
],
[
"Rustum",
"starring",
"Rao_Gopal_Rao"
],
[
"Sardar_Papa_Rayudu",
"starring",
"Rao_Gopal_Rao"
]
... |
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": [
"A._M._Paraman",
"P._P._George"
],
"valid_edges": [
[
"A._M._Paraman",
"successor",
"P._P._George"
],
[
"P._P._George",
"predecessor",
"A._M._Paraman"
]
],
"ground_truth": [
[
"A._M._Paraman",
"predecessor_r",
"P... |
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": [
"A3_road_(Northern_Ireland)",
"Terry_Cafolla"
],
"valid_edges": [
[
"A3_road_(Northern_Ireland)",
"routeJunction",
"Armagh"
],
[
"Terry_Cafolla",
"birthPlace",
"Armagh"
]
],
"ground_truth": [
[
"A3_road_(Northern_Ireland)",
... |
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": [
"ABBA:_The_Movie",
"Robert_Caswell"
],
"valid_edges": [
[
"ABBA:_The_Movie",
"writer",
"Robert_Caswell"
]
],
"ground_truth": [
[
"ABBA:_The_Movie",
"writer",
"Robert_Caswell"
]
],
"gt_cost": 0.19548482148976556
} |
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": [
"ABS-CBN",
"Langenburg"
],
"valid_edges": [
[
"ABS-CBN",
"pictureFormat",
"480i"
],
[
"Langenburg",
"country",
"Germany"
],
[
"The_Voice_of_Germany",
"country",
"Germany"
],
[
"The_Voice_of_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": [
"ACF_Fiorentina",
"Saša_Ivković"
],
"valid_edges": [
[
"Saša_Ivković",
"birthPlace",
"Vukovar"
],
[
"Siniša_Mihajlović",
"birthPlace",
"Vukovar"
],
[
"Siniša_Mihajlović",
"managerClub",
"ACF_Fiorentina"
]
],
... |
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": [
"AEP_Paphos_F.C.",
"Aghasalim_Mirjavadov"
],
"valid_edges": [
[
"Aghasalim_Mirjavadov",
"birthPlace",
"Azerbaijan_Soviet_Socialist_Republic"
],
[
"Aghasalim_Mirjavadov",
"birthPlace",
"Soviet_Union"
],
[
"Emin_Quliyev",
"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": [
"AEP_Paphos_F.C.",
"Wisła_Kraków"
],
"valid_edges": [
[
"Félicien_Singbo",
"team",
"AEP_Paphos_F.C."
],
[
"Félicien_Singbo",
"team",
"Diagoras_F.C."
],
[
"Guy_Feutchine",
"team",
"Diagoras_F.C."
],
[
"G... |
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": [
"AOMG",
"Once_a_Day"
],
"valid_edges": [
[
"40_Dayz_&_40_Nightz",
"genre",
"Hip_hop_music"
],
[
"40_Dayz_&_40_Nightz",
"recordLabel",
"RCA_Records"
],
[
"AOMG",
"genre",
"Hip_hop_music"
],
[
"Fortune_(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": [
"AS_Khroub",
"Al-Ittihad_Kalba_SC"
],
"valid_edges": [
[
"Mechac_Koffi",
"team",
"AS_Khroub"
],
[
"Mechac_Koffi",
"team",
"Al-Ittihad_Kalba_SC"
]
],
"ground_truth": [
[
"AS_Khroub",
"team_r",
"Mechac_Koffi"
]... |
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": [
"A_Dangerous_Life",
"Fatal_Revenant"
],
"valid_edges": [
[
"A_Dangerous_Life",
"language",
"English_language"
],
[
"Fatal_Revenant",
"language",
"English_language"
]
],
"ground_truth": [
[
"A_Dangerous_Life",
"language... |
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": [
"A_Million_Words,_a_Million_Dollars",
"The_Formula_(1980_film)"
],
"valid_edges": [
[
"A_Million_Words,_a_Million_Dollars",
"genre",
"Hip_hop_music"
],
[
"A_força_está_em_nós",
"genre",
"Hip_hop_music"
],
[
"A_força_está_em_nós"... |
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": [
"A_Night_in_Casablanca",
"Harold_Goodwin_(American_actor)"
],
"valid_edges": [
[
"A_Night_in_Casablanca",
"musicComposer",
"Harry_Ruby"
],
[
"Harold_Goodwin_(American_actor)",
"deathPlace",
"Woodland_Hills,_Los_Angeles"
],
[
"Ha... |
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": [
"A_Southern_Maid_(film)",
"RTÉ_News_Now"
],
"valid_edges": [
[
"A_Southern_Maid_(film)",
"distributor",
"Associated_British_Picture_Corporation"
],
[
"A_Southern_Maid_(film)",
"producer",
"Walter_C._Mycroft"
],
[
"Castle_in_the_... |
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": [
"A_State_of_Trance_2010",
"A_State_of_Trance_2011"
],
"valid_edges": [
[
"A_State_of_Trance_2010",
"subsequentWork",
"A_State_of_Trance_2011"
],
[
"A_State_of_Trance_2011",
"previousWork",
"A_State_of_Trance_2010"
]
],
"ground_truth":... |
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": [
"A_Touch_of_Frost",
"Parmeet_Sethi"
],
"valid_edges": [
[
"A_Touch_of_Frost",
"format",
"Aspect_ratio_(image)"
],
[
"Imagine_TV",
"headquarter",
"New_Delhi"
],
[
"Imagine_TV",
"pictureFormat",
"Aspect_ratio_(image)"
... |
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": [
"A_Tribute_to_Bad_Santa_Starring_Mike_Epps",
"Blood_Promise_(novel)"
],
"valid_edges": [
[
"A_Tribute_to_Bad_Santa_Starring_Mike_Epps",
"genre",
"Hip_hop_music"
],
[
"A_força_está_em_nós",
"genre",
"Hip_hop_music"
],
[
"A_força_... |
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": [
"A_Tribute_to_Bad_Santa_Starring_Mike_Epps",
"This_Bitter_Earth"
],
"valid_edges": [
[
"A_Tribute_to_Bad_Santa_Starring_Mike_Epps",
"genre",
"Hip_hop_music"
],
[
"Blak_Prophetz",
"genre",
"Hip_hop_music"
],
[
"Blak_Prophetz",
... |
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": [
"Aaron_Harlan",
"Robert_Atkins_(nutritionist)"
],
"valid_edges": [
[
"Aaron_Harlan",
"party",
"Whig_Party_(United_States)"
],
[
"John_Stoughton_Newberry",
"almaMater",
"University_of_Michigan"
],
[
"John_Stoughton_Newberry",
... |
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": [
"Aasif_Mandvi",
"Game_Show_Network"
],
"valid_edges": [
[
"Aasif_Mandvi",
"birthPlace",
"Mumbai"
],
[
"Game_Show_Network",
"sisterStation",
"AXN"
],
[
"Sony_MAX_2",
"headquarter",
"Mumbai"
],
[
"Sony_MA... |
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": [
"Abertawe_Bro_Morgannwg_University_Health_Board",
"Michel_Langevin"
],
"valid_edges": [
[
"Abertawe_Bro_Morgannwg_University_Health_Board",
"language",
"English_language"
],
[
"Michel_Langevin",
"genre",
"Heavy_metal_music"
],
[
... |
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": [
"Abida_(gastropod)",
"Hypermastus"
],
"valid_edges": [
[
"Abida_(gastropod)",
"class",
"Gastropoda"
],
[
"Hypermastus",
"class",
"Gastropoda"
]
],
"ground_truth": [
[
"Abida_(gastropod)",
"class",
"Gastropoda"
... |
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": [
"Abitibi-Témiscamingue",
"Sweet_Freedom"
],
"valid_edges": [
[
"Heavy_metal_music",
"musicFusionGenre",
"Progressive_metal"
],
[
"Progressive_metal",
"stylisticOrigin",
"Heavy_metal_music"
],
[
"Quo_Vadis_(band)",
"genre",... |
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": [
"Acacia_(band)",
"Ravi_Shankar's_Music_Festival_from_India"
],
"valid_edges": [
[
"Acacia_(band)",
"instrument",
"Tabla"
],
[
"Alla_Rakha",
"genre",
"Hindustani_classical_music"
],
[
"Alla_Rakha",
"instrument",
"Tabl... |
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": [
"Acanthomyrmex",
"Palpada"
],
"valid_edges": [
[
"Acanthomyrmex",
"class",
"Insect"
],
[
"Palpada",
"class",
"Insect"
]
],
"ground_truth": [
[
"Acanthomyrmex",
"class",
"Insect"
],
[
"Insect",
... |
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": [
"Acrepidopterum",
"Resapamea"
],
"valid_edges": [
[
"Acrepidopterum",
"class",
"Insect"
],
[
"Resapamea",
"class",
"Insect"
]
],
"ground_truth": [
[
"Acrepidopterum",
"class",
"Insect"
],
[
"Insect"... |
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": [
"Action_game",
"Shoot_'em_up"
],
"valid_edges": [
[
"Front_Mission_Series:_Gun_Hazard",
"composer",
"Nobuo_Uematsu"
],
[
"Front_Mission_Series:_Gun_Hazard",
"genre",
"Shoot_'em_up"
],
[
"Hanjuku_Hero",
"composer",
"N... |
End of preview. Expand in Data Studio
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