data_source stringclasses 1
value | prompt stringlengths 987 17k | ability stringclasses 1
value | reward_model dict | extra_info dict |
|---|---|---|---|---|
FB15k-237 |
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": [
"Grays_Athletic_F.C.",
"Kiernan_Shipka"
],
"valid_edges": [
[
"Argentina_national_football_team",
"football_roster_position",
"Defender"
],
[
"Argentina_national_football_team",
"gender",
"Female"
],
[
"Argentina_national_footba... |
FB15k-237 |
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": [
"Doo-wop",
"Salt"
],
"valid_edges": [
[
"Doo-wop",
"artists",
"Marvin_Gaye"
],
[
"Film_score",
"artists",
"James_Newton_Howard"
],
[
"Film_score",
"artists",
"Marvin_Gaye"
],
[
"James_Newton_Howard",
... |
FB15k-237 |
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_Hilbert",
"The_Hunchback_of_Notre_Dame"
],
"valid_edges": [
[
"Albert_Einstein",
"influenced_by",
"Fyodor_Dostoyevsky"
],
[
"Albert_Einstein",
"peers",
"David_Hilbert"
],
[
"David_Hilbert",
"peers",
"Albert_Ei... |
FB15k-237 |
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": [
"Christophe_Beck",
"Ted_Levine"
],
"valid_edges": [
[
"Elektra",
"film_music",
"Christophe_Beck"
],
[
"Elektra",
"production_companies",
"Regency_Enterprises"
],
[
"Heat",
"production_companies",
"Regency_Enterprises... |
FB15k-237 |
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": [
"Ed_Begley,_Jr.",
"North_Brabant"
],
"valid_edges": [
[
"Ed_Begley,_Jr.",
"acted_in",
"Pineapple_Express"
],
[
"Ed_Begley,_Jr.",
"location_of_ceremony",
"Las_Vegas"
],
[
"Kingdom_of_the_Netherlands",
"contains",
"Ein... |
FB15k-237 |
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": [
"Mecklenburg_County",
"Ralph_Burns"
],
"valid_edges": [
[
"Charles_Mingus",
"profession",
"Bandleader"
],
[
"Chick_Corea",
"profession",
"Bandleader"
],
[
"Dave_Brubeck",
"profession",
"Bandleader"
],
[
... |
FB15k-237 |
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_Brown",
"East_Carolina_University"
],
"valid_edges": [
[
"East_Carolina_University",
"campuses",
"East_Carolina_University"
],
[
"East_Carolina_University",
"fraternities_and_sororities",
"Alpha_Sigma_Phi"
],
[
"Robert_Al... |
FB15k-237 |
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": [
"Alkmaar",
"Joseph_R._Gannascoli"
],
"valid_edges": [
[
"Alkmaar",
"administrative_parent",
"North_Holland"
],
[
"Amsterdam",
"state",
"North_Holland"
],
[
"Haarlem",
"administrative_division",
"North_Holland"
],... |
FB15k-237 |
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": [
"Color_of_Night",
"Marquette_University"
],
"valid_edges": [
[
"Don_Ameche",
"acted_in",
"Coming_to_America"
],
[
"Eriq_La_Salle",
"acted_in",
"Color_of_Night"
],
[
"Eriq_La_Salle",
"acted_in",
"Coming_to_America"
... |
FB15k-237 |
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": [
"Academy_Award_for_Best_Documentary_Short_Subject",
"Television_comedy"
],
"valid_edges": [
[
"44th_Academy_Awards",
"award_winner",
"Cloris_Leachman"
],
[
"Academy_Award_for_Best_Documentary_Short_Subject",
"ceremony",
"44th_Academy_Awards"
... |
FB15k-237 |
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": [
"Carrie_Underwood",
"Greensburg"
],
"valid_edges": [
[
"Bam_Margera",
"location",
"Pennsylvania"
],
[
"Bob_Dylan",
"diet",
"Vegetarianism"
],
[
"Carrie_Underwood",
"diet",
"Vegetarianism"
],
[
"Carrie_U... |
FB15k-237 |
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": [
"San_Diego",
"Sweeney_Todd:_The_Demon_Barber_of_Fleet_Street"
],
"valid_edges": [
[
"John_Barrowman",
"location",
"San_Diego"
],
[
"John_Barrowman",
"profession",
"Musical_theatre"
],
[
"Musical_theatre",
"artists",
... |
FB15k-237 |
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": [
"Dyspnea",
"Margin_Call"
],
"valid_edges": [
[
"Cardiovascular_disease",
"people",
"Max_Fleischer"
],
[
"Dyspnea",
"symptom_of",
"Cardiovascular_disease"
],
[
"Margin_Call",
"film_release_region",
"Vienna"
],
... |
FB15k-237 |
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": [
"Lucy_Liu",
"Street_Fighter_II:_The_Animated_Movie"
],
"valid_edges": [
[
"Fist_of_the_North_Star",
"actor",
"Kaneto_Shiozawa"
],
[
"Fist_of_the_North_Star",
"actor",
"Kirk_Thornton"
],
[
"Fist_of_the_North_Star",
"genre",... |
FB15k-237 |
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": [
"Eintracht_Frankfurt",
"Saint_Petersburg"
],
"valid_edges": [
[
"Eintracht_Frankfurt",
"colors",
"Black"
],
[
"Governor-GB",
"company",
"London_School_of_Economics_and_Political_Science"
],
[
"Governor-GB",
"company",
... |
FB15k-237 |
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": [
"Hampshire_College",
"Minimal_techno"
],
"valid_edges": [
[
"Hampshire_College",
"campuses",
"Hampshire_College"
],
[
"Hampshire_College",
"educational_institution",
"Hampshire_College"
],
[
"Hampshire_College",
"student",... |
FB15k-237 |
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": [
"Batman-US",
"Niels_Henrik_David_Bohr"
],
"valid_edges": [
[
"Batman-US",
"films",
"Batman_&_Robin"
],
[
"Copenhagen",
"vacationer",
"Uma_Thurman"
],
[
"Niels_Henrik_David_Bohr",
"place_of_birth",
"Copenhagen"
],... |
FB15k-237 |
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": [
"Borussia_Dortmund",
"United_States_Forest_Service"
],
"valid_edges": [
[
"A.C._Chievo_Verona",
"colors",
"Yellow"
],
[
"A.C._Chievo_Verona",
"sport",
"Football"
],
[
"Aberystwyth_University",
"colors",
"Yellow"
... |
FB15k-237 |
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": [
"Laos",
"The_Killers"
],
"valid_edges": [
[
"Alanis_Morissette",
"award",
"MTV_Video_Music_Award_for_Artist_to_Watch"
],
[
"Alanis_Morissette",
"religion",
"Buddhism"
],
[
"Laos",
"religion",
"Buddhism"
],
[
... |
FB15k-237 |
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": [
"Bryan_Cranston",
"Scientist-GB"
],
"valid_edges": [
[
"Bryan_Cranston",
"award_nominee",
"Giancarlo_Esposito"
],
[
"Giancarlo_Esposito",
"award_nominee",
"Bryan_Cranston"
],
[
"Giancarlo_Esposito",
"location",
"Cope... |
FB15k-237 |
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": [
"Erich_Wolfgang_Korngold",
"Peter_Hyams"
],
"valid_edges": [
[
"2010",
"cinematography",
"Peter_Hyams"
],
[
"2010",
"film_music",
"Richard_Strauss"
],
[
"2010",
"produced_by",
"Peter_Hyams"
],
[
"Opera"... |
FB15k-237 |
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": [
"Computer_Animation",
"Linda_Perry"
],
"valid_edges": [
[
"Dr._Seuss",
"location",
"Springfield"
],
[
"Dr._Seuss",
"place_of_birth",
"Springfield"
],
[
"Linda_Perry",
"place_of_birth",
"Springfield"
],
[
... |
FB15k-237 |
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": [
"Chester_City_F.C.",
"Grafton_County"
],
"valid_edges": [
[
"Chester_City_F.C.",
"football_roster_position",
"Goalkeeper"
],
[
"Chester_City_F.C.",
"position",
"Goalkeeper"
],
[
"Goalkeeper",
"team",
"Chester_City_F.... |
FB15k-237 |
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": [
"Dark_cabaret",
"Eau_Claire"
],
"valid_edges": [
[
"Alternative_rock",
"artists",
"Tori_Amos"
],
[
"Alternative_rock",
"parent_genre",
"Post-punk"
],
[
"Arlington",
"source",
"United_States_Department_of_Housing_and_... |
FB15k-237 |
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": [
"Malayali",
"Tasmania"
],
"valid_edges": [
[
"Bachelor_of_Laws",
"institution",
"University_of_Tasmania"
],
[
"Bachelor_of_Laws",
"student",
"Murali"
],
[
"Malayali",
"people",
"Murali"
],
[
"University... |
FB15k-237 |
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": [
"7th_United_States_Congress",
"Legally_Blonde"
],
"valid_edges": [
[
"7th_United_States_Congress",
"district_represented",
"Vermont"
],
[
"Bennington_College",
"state_province_region",
"Vermont"
],
[
"Bennington_College",
... |
FB15k-237 |
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": [
"Data_East",
"San_Salvador"
],
"valid_edges": [
[
"Data_East",
"webpage_category",
"Official_Website"
],
[
"San_Salvador",
"webpage_category",
"Official_Website"
]
],
"ground_truth": [],
"gt_cost": null
} |
FB15k-237 |
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": [
"Ja_Rule",
"Julian_Fellowes"
],
"valid_edges": [
[
"69th_Golden_Globe_Awards",
"award_winner",
"Howard_Gordon"
],
[
"69th_Golden_Globe_Awards",
"award_winner",
"Julian_Fellowes"
],
[
"69th_Golden_Globe_Awards",
"honored_fo... |
FB15k-237 |
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": [
"Chandra_Wilson",
"Erasmus_Hall_High_School"
],
"valid_edges": [
[
"13th_Screen_Actors_Guild_Awards",
"award_winner",
"Chandra_Wilson"
],
[
"Erasmus_Hall_High_School",
"campuses",
"Erasmus_Hall_High_School"
],
[
"Erasmus_Hall_Hi... |
FB15k-237 |
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": [
"Institute_for_Advanced_Study",
"James_Monroe"
],
"valid_edges": [
[
"Institute_for_Advanced_Study",
"educational_institution",
"Institute_for_Advanced_Study"
],
[
"Noam_Chomsky",
"company",
"Institute_for_Advanced_Study"
],
[
"... |
FB15k-237 |
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": [
"Tunis",
"United_Artists_Records"
],
"valid_edges": [
[
"Algeria",
"adjoins",
"Tunisia"
],
[
"Algeria",
"time_zones",
"Central_European_Time_Zone-US"
],
[
"Monaco",
"time_zones",
"Central_European_Time_Zone-US"
]... |
FB15k-237 |
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": [
"George_C._Scott",
"Tony_Longo"
],
"valid_edges": [
[
"Character_Actor",
"profession",
"Character_Actor"
],
[
"George_C._Scott",
"award",
"Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Comedy_Series"
],
[
"Tim_Allen",
... |
FB15k-237 |
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": [
"Carroll_Clark",
"Will_Arnett"
],
"valid_edges": [
[
"Carroll_Clark",
"film_sets_designed",
"King_Kong"
],
[
"James_Newton_Howard",
"nominated_for",
"King_Kong"
],
[
"King_Kong",
"award_winner",
"Michael_Semanick"
... |
FB15k-237 |
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": [
"Batman_&_Robin",
"Leonhard_Euler"
],
"valid_edges": [
[
"Akiva_Goldsman",
"nominated_for",
"Batman_&_Robin"
],
[
"Batman_&_Robin",
"written_by",
"Akiva_Goldsman"
],
[
"Philosophy",
"student",
"Leonhard_Euler"
],... |
FB15k-237 |
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": [
"Hannibal_Rising",
"Merchant-GB"
],
"valid_edges": [
[
"Merchant-GB",
"specialization_of",
"Businessperson-GB"
],
[
"Roger_Berlind",
"award_nominee",
"The_Weinstein_Company"
],
[
"Roger_Berlind",
"profession",
"Busin... |
FB15k-237 |
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": [
"Los_Angeles_Unified_School_District",
"The_Station_Agent"
],
"valid_edges": [
[
"(500)_Days_of_Summer",
"genre",
"Comedy-drama"
],
[
"A_Single_Man",
"language",
"Spanish_Language"
],
[
"All_About_My_Mother",
"genre",
... |
FB15k-237 |
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": [
"Dana_Delany",
"Mogadishu"
],
"valid_edges": [
[
"Bachelor's_degree",
"institution",
"Wesleyan_University"
],
[
"Bachelor's_degree",
"major_field_of_study",
"Theatre"
],
[
"Bachelor_of_Arts",
"institution",
"Wesleyan... |
FB15k-237 |
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": [
"Iron_Man_2",
"Vincent_D'Onofrio"
],
"valid_edges": [
[
"Ed_Wood",
"award_honor_award",
"London_Film_Critics_Circle_Award_for_Actor_of_the_Year"
],
[
"Mickey_Rourke",
"acted_in",
"Iron_Man_2"
],
[
"Mickey_Rourke",
"award",... |
FB15k-237 |
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": [
"2K_Games",
"Terrence_McNally"
],
"valid_edges": [
[
"2K_Games",
"service_language",
"Dutch_Language"
],
[
"Band_of_Brothers",
"tv_program_languages",
"Dutch_Language"
],
[
"Primetime_Emmy_Award_for_Outstanding_Writing_-_Miniser... |
FB15k-237 |
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": [
"13th_Screen_Actors_Guild_Awards",
"James_Wong_Howe"
],
"valid_edges": [
[
"28th_Academy_Awards",
"award_winner",
"Ernest_Borgnine"
],
[
"28th_Academy_Awards",
"award_winner",
"Jack_Lemmon"
],
[
"28th_Academy_Awards",
"awa... |
FB15k-237 |
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": [
"Greco-Roman_wrestling",
"It"
],
"valid_edges": [
[
"1948_Summer_Olympics",
"sports",
"Canoe_Sprint"
],
[
"1948_Summer_Olympics",
"sports",
"Eventing"
],
[
"1948_Summer_Olympics",
"sports",
"Greco-Roman_wrestling"
... |
FB15k-237 |
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": [
"Kandy",
"Manisha_Koirala"
],
"valid_edges": [
[
"Manisha_Koirala",
"nationality",
"Nepal"
],
[
"Nepal",
"organization",
"Asian_Development_Bank"
],
[
"Sri_Lanka",
"contains",
"Kandy"
],
[
"Sri_Lanka",
... |
FB15k-237 |
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": [
"Grammy_Award_for_Record_of_the_Year",
"MTV2"
],
"valid_edges": [
[
"MTV2",
"artist",
"The_Offspring"
],
[
"Nickelback",
"award",
"Grammy_Award_for_Record_of_the_Year"
],
[
"Post-grunge",
"artists",
"Nickelback"
... |
FB15k-237 |
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": [
"Danny_Kaye",
"Grammy_Award_for_Best_Mexican/Mexican-American_Album"
],
"valid_edges": [
[
"Adult_contemporary_music",
"artists",
"Linda_Ronstadt"
],
[
"Adult_contemporary_music",
"artists",
"Sheena_Easton"
],
[
"Angela_Lansbury... |
FB15k-237 |
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": [
"Akshay_Kumar",
"Superman_IV:_The_Quest_For_Peace"
],
"valid_edges": [
[
"11th_Satellite_Awards",
"honored_for",
"Superman_IV:_The_Quest_For_Peace"
],
[
"11th_Satellite_Awards",
"honored_for",
"Superman_Returns"
],
[
"Akshay_Kum... |
FB15k-237 |
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": [
"Alison_Krauss",
"Kevin_Corrigan"
],
"valid_edges": [
[
"Alison_Krauss",
"award",
"Grammy_Award_for_Best_Contemporary_Folk_Album"
],
[
"Alison_Krauss",
"award_nominee",
"Robert_Plant"
],
[
"Alison_Krauss",
"award_winner",
... |
FB15k-237 |
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": [
"Cambridge",
"Richard_Donner"
],
"valid_edges": [
[
"Cambridge",
"contains",
"King's_College,_Cambridge"
],
[
"Cambridge",
"place",
"Cambridge"
],
[
"King's_College,_Cambridge",
"campuses",
"King's_College,_Cambridge... |
FB15k-237 |
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": [
"Flight",
"Shortstop"
],
"valid_edges": [
[
"Flight",
"produced_by",
"Walter_F._Parkes"
],
[
"Shortstop",
"team",
"Texas_Rangers"
],
[
"Texas_Rangers",
"school",
"Yale_University"
],
[
"Yale_University"... |
FB15k-237 |
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": [
"Nine_Inch_Nails",
"Tuvalu_national_football_team"
],
"valid_edges": [
[
"ADO_Den_Haag",
"football_roster_position",
"Forward"
],
[
"ADO_Den_Haag",
"position",
"Forward"
],
[
"ADO_Den_Haag",
"webpage_category",
"Offi... |
FB15k-237 |
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": [
"Jerome_Flynn",
"Jimmy_Fallon"
],
"valid_edges": [
[
"69th_Golden_Globe_Awards",
"award_winner",
"Peter_Dinklage"
],
[
"69th_Golden_Globe_Awards",
"honored_for",
"Game_of_Thrones"
],
[
"Aidan_Gillen",
"award_nominee",
... |
FB15k-237 |
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": [
"Cries_and_Whispers",
"Kingdom_of_Portugal"
],
"valid_edges": [
[
"Golden_Globe_Award_for_Best_Foreign_Language_Film",
"nominated_for",
"Cries_and_Whispers"
],
[
"Golden_Globe_Award_for_Best_Foreign_Language_Film",
"nominated_for",
"War_and_P... |
FB15k-237 |
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": [
"Cambodia",
"Punk_blues"
],
"valid_edges": [
[
"Hotel_Transylvania",
"film_music",
"Mark_Mothersbaugh"
],
[
"Hotel_Transylvania",
"film_release_region",
"Cambodia"
],
[
"Post-punk",
"artists",
"Mark_Mothersbaugh"
... |
FB15k-237 |
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": [
"Germany",
"Michael_Apted"
],
"valid_edges": [
[
"Cannes_Best_Director_Award",
"award_winner",
"Terrence_Malick"
],
[
"Cannes_Best_Director_Award",
"award_winner",
"Werner_Herzog"
],
[
"Cannes_Best_Director_Award",
"award_... |
FB15k-237 |
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": [
"Digimon_Adventure",
"Radio_Days"
],
"valid_edges": [
[
"Digimon_Adventure",
"genre",
"Anime"
],
[
"Kiki's_Delivery_Service",
"genre",
"Anime"
],
[
"Kiki's_Delivery_Service",
"genre",
"Coming_of_age"
],
[
... |
FB15k-237 |
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": [
"Marilyn_Monroe",
"Travis_Tritt"
],
"valid_edges": [
[
"Grammy_Award_for_Best_Male_Country_Vocal_Performance",
"award_winner",
"Merle_Haggard"
],
[
"Grammy_Award_for_Best_Male_Country_Vocal_Performance",
"award_winner",
"Willie_Nelson"
],... |
FB15k-237 |
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": [
"Fortune_1000",
"The_Other_Boleyn_Girl"
],
"valid_edges": [
[
"BBC_Films",
"award_winner",
"HBO_Films"
],
[
"HBO_Films",
"award_winner",
"BBC_Films"
],
[
"The_Gathering_Storm-GB",
"award_winner",
"BBC_Films"
],
... |
FB15k-237 |
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": [
"Bournemouth",
"Harold_Rosson"
],
"valid_edges": [
[
"Academy_Award_for_Best_Cinematography",
"nominated_for",
"The_Lord_of_the_Rings:_The_Fellowship_of_the_Ring"
],
[
"Harold_Rosson",
"award",
"Academy_Award_for_Best_Cinematography"
],
... |
FB15k-237 |
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": [
"Nick_Cannon",
"Zhejiang"
],
"valid_edges": [
[
"Governor-GB",
"jurisdiction_of_office",
"Washington"
],
[
"Governor-GB",
"jurisdiction_of_office",
"Zhejiang"
],
[
"Nick_Cannon",
"artist_origin",
"Seattle"
],
... |
FB15k-237 |
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": [
"Monterey",
"Rocksteady"
],
"valid_edges": [
[
"California",
"contains",
"San_Diego"
],
[
"Drums",
"group",
"Bob_Marley_&_The_Wailers"
],
[
"Drums",
"instrumentalists",
"Frank_Zappa"
],
[
"Frank_Zappa",... |
FB15k-237 |
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": [
"MCA_Records",
"Russian_Civil_War"
],
"valid_edges": [
[
"Kingdom_of_Greece",
"capital",
"Athens"
],
[
"MCA_Records",
"artist",
"Tommy_Lee"
],
[
"Russian_Civil_War",
"combatants",
"Kingdom_of_Greece"
],
[
... |
FB15k-237 |
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": [
"Brian_Eno",
"Columbia_Business_School"
],
"valid_edges": [
[
"Brian_Eno",
"award_nominee",
"Robert_C._Ludwig"
],
[
"Brian_Eno",
"influenced_by",
"Noam_Chomsky"
],
[
"Columbia_Business_School",
"campuses",
"Columbia_... |
FB15k-237 |
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": [
"Ali_Larter",
"Rochester_Institute_of_Technology"
],
"valid_edges": [
[
"Ali_Larter",
"acted_in",
"Jay_and_Silent_Bob_Strike_Back"
],
[
"Jason_Lee",
"acted_in",
"Jay_and_Silent_Bob_Strike_Back"
],
[
"Jason_Lee",
"place_of_... |
FB15k-237 |
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": [
"Onondaga_County",
"Tim_Minear"
],
"valid_edges": [
[
"American_Horror_Story",
"award_honor_award",
"Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Female_Actor_in_a_Drama_Series"
],
[
"American_Horror_Story",
"genre",
"Mystery"
... |
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