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metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["BJÖRNE LARSON", "ENT23226"], "valid_edges": [["ENT1852", "REL1", "ENT23226"], ["ENT1852", "has_genre", "ENT9752"], ["ENT5109", "REL1", "ENT23226"], ["ENT5109", "has_genre", "ENT9752"], ["ENT19395", "REL1", "BJÖRNE LARSON"], ["ENT19395", "has_genre", "ENT9752"], ["ENT19395", "REL9", "BJÖRNE LARSON"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["HUGH GRANT", "ENT19787"], "valid_edges": [["ENT465", "REL5", "ENT3569"], ["ENT465", "REL7", "ENT128"], ["ACCATTONE", "REL5", "ENT3569"], ["ACCATTONE", "in_language", "ENT15722"], ["ENT1038", "REL5", "ENT3569"], ["ENT1038", "in_language", "ENT15722"], ["ENT2724", "REL5", "ENT3569"], ["ENT2724", "in_langua...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT14779", "ENT33181"], "valid_edges": [["A FEW GOOD MEN", "REL3", "ENT13231"], ["A FEW GOOD MEN", "REL7", "1992"], ["ENT6719", "REL3", "ENT13231"], ["ENT6719", "REL7", "1992"], ["ENT13070", "REL3", "ENT13231"], ["ENT13070", "REL7", "1992"], ["ENT13231", "REL3", "ENT13231"], ["ENT13236", "REL3", "ENT1323...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT21989", "RIP TORN"], "valid_edges": [["ENT17192", "has_genre", "ENT7161"], ["ENT17192", "REL8", "RIP TORN"], ["PUCCINI FOR BEGINNERS", "REL1", "ENT21989"], ["PUCCINI FOR BEGINNERS", "has_genre", "ENT7161"], ["PUCCINI FOR BEGINNERS", "REL9", "ENT21989"], ["ENT36332", "REL1", "RIP TORN"], ["ENT36332", "...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["BILLY BLANKS", "KILLER KLOWNS FROM OUTER SPACE"], "valid_edges": [["ALIENS", "has_genre", "ENT845"], ["ALIENS", "REL5", "ENT845"], ["ALIENS", "REL5", "ALIENS"], ["ENT11101", "has_genre", "ENT845"], ["ENT11101", "REL8", "BILLY BLANKS"], ["KILLER KLOWNS FROM OUTER SPACE", "REL5", "ALIENS"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT491", "ALFIE BASS"], "valid_edges": [["ENT54", "has_genre", "ENT7161"], ["ENT54", "REL7", "2014"], ["ENT205", "has_genre", "ENT7161"], ["ENT205", "REL5", "2014"], ["ENT205", "REL5", "ENT7161"], ["ENT207", "has_genre", "ENT7161"], ["ENT207", "REL7", "2014"], ["ENT451", "has_genre", "ENT7161"], ["ENT451...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT15701", "ENT19404"], "valid_edges": [["ENT4323", "REL7", "2007"], ["ENT4323", "REL7", "ENT193"], ["ENT15701", "REL7", "2007"], ["ENT19404", "REL7", "ENT193"], ["THE CLASS", "REL7", "2007"], ["THE CLASS", "REL7", "ENT193"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT10083", "ENT12351"], "valid_edges": [["ENT3274", "REL5", "ENT31532"], ["ENT3274", "in_language", "ENT31532"], ["ENT3274", "REL8", "ENT12351"], ["ENT9029", "REL7", "ENT195"], ["ENT9029", "REL8", "BOJANA NOVAKOVIC"], ["ENT10083", "REL5", "ENT24310"], ["ENT10083", "REL7", "ENT195"], ["ENT10083", "REL8", ...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["LA NOTTE", "ENT38222"], "valid_edges": [["LA NOTTE", "REL7", "ENT127"], ["ENT20911", "REL7", "ENT127"], ["ENT20911", "REL7", "ENT149"], ["ENT38222", "REL7", "ENT149"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT13834", "ENT27014"], "valid_edges": [["ENT6317", "has_genre", "ENT9307"], ["ENT6317", "REL8", "ENT13834"], ["ENT28056", "REL1", "ENT27014"], ["ENT28056", "has_genre", "ENT9307"], ["ENT28056", "REL9", "ENT27014"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["C.D. PAYNE", "SLIM SUSIE"], "valid_edges": [["SLIM SUSIE", "has_genre", "ENT7161"], ["YOUTH IN REVOLT", "has_genre", "ENT7161"], ["YOUTH IN REVOLT", "REL9", "C.D. PAYNE"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT32209", "SYDNEY WHITE"], "valid_edges": [["ENT3062", "REL5", "ENT38813"], ["ENT3062", "REL7", "2007"], ["ENT3604", "has_genre", "ENT38813"], ["ENT3604", "REL7", "2007"], ["ENT4582", "has_genre", "ENT38813"], ["ENT4582", "REL7", "2007"], ["CALIFORNIA DREAMIN'", "has_genre", "ENT38813"], ["CALIFORNIA DR...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT8028", "ENT8208"], "valid_edges": [["ENT20286", "has_genre", "ADVENTURE"], ["ENT20286", "REL5", "ADVENTURE"], ["ENT20286", "REL8", "ENT8208"], ["ENT31626", "has_genre", "ADVENTURE"], ["ENT31626", "REL5", "ENT8028"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT136", "ENT39344"], "valid_edges": [["ENT14885", "REL1", "ENT39344"], ["ENT14885", "has_genre", "ADVENTURE"], ["ENT14885", "REL9", "GLORIA KATZ"], ["ENT14885", "REL9", "ENT39344"], ["ENT15412", "has_genre", "ADVENTURE"], ["ENT15412", "REL5", "ADVENTURE"], ["ENT15412", "REL9", "GLORIA KATZ"], ["ENT15412...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT20497", "ENT38476"], "valid_edges": [["ENT14843", "REL5", "ENT30448"], ["ENT14843", "REL5", "ENT38476"], ["ENT20497", "REL5", "ENT8010"], ["ENT20497", "REL5", "ENT30448"], ["ENT20497", "REL8", "ENT8010"], ["ENT27340", "REL5", "ENT8010"], ["ENT27340", "REL5", "ENT30448"], ["ENT27340", "REL8", "ENT8010"...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT26026", "ENT34109"], "valid_edges": [["ENT3783", "has_genre", "ENT9752"], ["ENT3783", "REL5", "ENT20923"], ["ENT3783", "in_language", "ENT26026"], ["ENT20923", "has_genre", "ENT9752"], ["ENT34109", "has_genre", "ENT9752"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT3346", "VAN"], "valid_edges": [["ENT5546", "in_language", "ENT16435"], ["ENT5546", "REL8", "VAN"], ["ENT40052", "REL1", "ENT3346"], ["ENT40052", "in_language", "ENT16435"], ["ENT40052", "REL9", "ENT3346"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT2035", "KEVIN SORBO"], "valid_edges": [["ENT2035", "in_language", "ENT12156"], ["ENT27325", "has_genre", "ENT39031"], ["ENT27325", "REL8", "KEVIN SORBO"], ["ENT39031", "in_language", "ENT12156"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT1802", "ENT4492"], "valid_edges": [["ENT15445", "REL5", "ENT4492"], ["ENT15445", "REL5", "ENT15445"], ["ENT15445", "REL7", "ENT184"], ["ENT36641", "REL5", "ENT1802"], ["ENT36641", "REL7", "ENT184"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT7865", "ENT8128"], "valid_edges": [["ENT1875", "has_genre", "ENT37036"], ["ENT1875", "REL7", "ENT166"], ["ASSAULT ON PRECINCT 13", "has_genre", "ENT37036"], ["ASSAULT ON PRECINCT 13", "REL8", "ENT8128"], ["ENT3272", "has_genre", "ENT37036"], ["ENT3272", "REL7", "ENT166"], ["ENT4821", "REL5", "ENT37036...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT17355", "PATHER PANCHALI"], "valid_edges": [["ENT226", "has_genre", "ENT9752"], ["ENT226", "REL5", "ENT15403"], ["ENT334", "has_genre", "ENT9752"], ["ENT334", "REL5", "ENT9209"], ["ENT351", "has_genre", "ENT9752"], ["ENT351", "has_genre", "ENT11222"], ["ENT400", "has_genre", "ENT9752"], ["ENT400", "ha...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT4670", "ENT25382"], "valid_edges": [["ENT4670", "REL7", "ENT154"], ["CHOPPING MALL", "REL1", "ENT17163"], ["CHOPPING MALL", "REL7", "ENT154"], ["CHOPPING MALL", "REL9", "ENT17163"], ["ENT15509", "REL5", "ENT28100"], ["ENT15509", "REL7", "ENT154"], ["ENT25382", "REL1", "ENT17163"], ["ENT25382", "REL5",...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT23548", "SOMETHING WILD"], "valid_edges": [["ENT353", "has_genre", "ENT7161"], ["ENT353", "REL5", "ENT3569"], ["ENT1887", "has_genre", "ENT7161"], ["ENT1887", "has_genre", "ENT9752"], ["ENT3267", "has_genre", "ENT7161"], ["ENT3267", "has_genre", "ENT9752"], ["ENT3267", "REL5", "ENT7161"], ["ENT3421", ...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT518", "ENT15380"], "valid_edges": [["ENT518", "has_genre", "ENT39031"], ["ENT518", "REL8", "ENT1808"], ["ENT518", "REL8", "ENT20552"], ["ENT3556", "REL5", "ENT20552"], ["ENT3556", "REL7", "ENT197"], ["ENT4785", "has_genre", "ENT39031"], ["ENT4785", "REL7", "ENT197"], ["ENT6387", "REL5", "ENT1808"], ["...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT4639", "ERNIE HUDSON"], "valid_edges": [["ENT4639", "has_genre", "ADVENTURE"], ["ENT4639", "REL7", "1940"], ["ENT4639", "REL8", "ENT6842"], ["ENT4639", "REL8", "ENT31568"], ["CHINA SEAS", "has_genre", "ADVENTURE"], ["CHINA SEAS", "REL8", "ENT6842"], ["CONGO", "has_genre", "ADVENTURE"], ["CONGO", "REL8...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT23518", "ENT24940"], "valid_edges": [["ENT3650", "has_genre", "ENT7161"], ["ENT3650", "REL5", "ENT7161"], ["ENT3650", "REL8", "ENT24940"], ["ENT30614", "has_genre", "ENT7161"], ["ENT30614", "REL8", "ENT23518"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT9550", "ENT31834"], "valid_edges": [["ENT9550", "has_genre", "ENT7161"], ["ENT14504", "has_genre", "ENT7161"], ["THE CHEERLEADERS", "has_genre", "ENT7161"], ["THE CHEERLEADERS", "REL5", "ENT14504"], ["THE CHEERLEADERS", "REL8", "ENT31834"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT6688", "SANDRA HARRISON"], "valid_edges": [["ENT4413", "has_genre", "ENT14733"], ["ENT4413", "REL8", "SANDRA HARRISON"], ["ENT33992", "has_genre", "ENT14733"], ["ENT33992", "has_genre", "ENT37036"], ["ENT33992", "REL5", "ENT6688"], ["ENT33992", "REL5", "ENT37036"], ["ENT33992", "REL8", "ENT6688"], ["E...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT9339", "ENT18940"], "valid_edges": [["ENT459", "has_genre", "ENT9752"], ["ENT459", "REL8", "ENT18985"], ["ENT485", "has_genre", "ENT9752"], ["ENT485", "REL7", "ENT164"], ["ENT623", "has_genre", "ENT9752"], ["ENT623", "REL7", "ENT164"], ["ENT642", "has_genre", "ENT9752"], ["ENT642", "REL8", "ENT16825"]...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT15790", "MARK LISSON"], "valid_edges": [["ENT23918", "has_genre", "ENT7161"], ["ENT23918", "REL9", "ENT15790"], ["ENT28193", "has_genre", "ENT7161"], ["ENT28193", "REL9", "MARK LISSON"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["RETROACTIVE", "ENT28913"], "valid_edges": [["ENT824", "has_genre", "ENT845"], ["ENT824", "has_genre", "ADVENTURE"], ["ENT1009", "has_genre", "ENT845"], ["ENT1009", "has_genre", "ADVENTURE"], ["ENT1009", "REL5", "ADVENTURE"], ["ENT1033", "has_genre", "ENT845"], ["ENT1033", "has_genre", "ADVENTURE"], ["AGE...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT36903", "ENT37752"], "valid_edges": [["ENT36903", "REL1", "ENT6865"], ["ENT36903", "REL5", "ENT6865"], ["ENT36903", "REL9", "ENT6865"], ["ENT37752", "REL7", "ENT187"], ["ENT38122", "REL7", "ENT187"], ["ENT38122", "REL9", "ENT6865"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["KIERAN CULKIN", "ENT34535"], "valid_edges": [["IGBY GOES DOWN", "REL5", "ENT16717"], ["IGBY GOES DOWN", "REL5", "KIERAN CULKIN"], ["IGBY GOES DOWN", "REL8", "ENT16717"], ["IGBY GOES DOWN", "REL8", "KIERAN CULKIN"], ["ENT34535", "REL8", "ENT16717"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT16356", "ENT20476"], "valid_edges": [["ENT512", "has_genre", "ENT38813"], ["ENT512", "REL5", "ENT38813"], ["ENT512", "REL7", "1992"], ["ANNE FRANK REMEMBERED", "has_genre", "ENT9307"], ["ANNE FRANK REMEMBERED", "has_genre", "ENT38813"], ["ENT4582", "has_genre", "ENT9307"], ["ENT4582", "has_genre", "EN...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT3034", "LEVEL FIVE"], "valid_edges": [["ENT351", "REL7", "ENT166"], ["ENT351", "REL7", "ENT168"], ["ENT3034", "REL5", "ENT23839"], ["ENT3034", "REL5", "ENT38232"], ["ENT3034", "REL7", "ENT168"], ["ENT3034", "REL8", "ENT23839"], ["ENT3034", "REL8", "ENT38232"], ["LEVEL FIVE", "REL7", "ENT166"], ["ENT29...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT33982", "ENT34856"], "valid_edges": [["ENT24831", "REL7", "ENT193"], ["ENT24831", "REL8", "ENT1826"], ["ENT33982", "REL7", "ENT193"], ["ENT34856", "REL5", "ENT1826"], ["ENT34856", "REL8", "ENT1826"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["NOAM CHOMSKY", "RADIO SILENCE"], "valid_edges": [["FOUR HORSEMEN", "REL7", "ENT197"], ["FOUR HORSEMEN", "REL8", "NOAM CHOMSKY"], ["ENT38220", "REL1", "RADIO SILENCE"], ["ENT38220", "REL7", "ENT197"], ["ENT38220", "REL9", "RADIO SILENCE"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst 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 DALESSANDRO", "ENT14681"], "valid_edges": [["ENT31276", "has_genre", "ENT845"], ["ENT31276", "REL9", "DAVID DALESSANDRO"], ["ENT37843", "REL5", "ENT845"], ["ENT37843", "REL5", "ENT14681"], ["ENT37843", "REL9", "ENT14681"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT11432", "INVENTOR"], "valid_edges": [["AROUND THE WORLD IN 80 DAYS", "has_genre", "ENT7161"], ["AROUND THE WORLD IN 80 DAYS", "REL5", "INVENTOR"], ["ENT7002", "has_genre", "ENT7161"], ["ENT7002", "REL5", "INVENTOR"], ["ENT11432", "has_genre", "ENT7161"], ["ENT11432", "REL5", "ENT7161"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["BILL FISHMAN", "ENT11193"], "valid_edges": [["ENT5574", "REL1", "BILL FISHMAN"], ["ENT5574", "has_genre", "ENT7161"], ["ENT32409", "has_genre", "ENT7161"], ["ENT32409", "REL5", "ENT7161"], ["ENT32409", "REL5", "ENT11193"], ["ENT32847", "REL1", "BILL FISHMAN"], ["ENT32847", "has_genre", "ENT7161"], ["ENT3...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["JIM BISHOP", "ENT31131"], "valid_edges": [["HAPPINESS", "REL5", "ENT31131"], ["HAPPINESS", "REL7", "ENT167"], ["THE DAY LINCOLN WAS SHOT", "REL7", "ENT167"], ["THE DAY LINCOLN WAS SHOT", "REL9", "JIM BISHOP"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT8166", "ENT28247"], "valid_edges": [["INFERNO", "has_genre", "ENT14733"], ["INFERNO", "REL8", "ENT28247"], ["THE DEVIL BAT", "has_genre", "ENT14733"], ["THE DEVIL BAT", "REL8", "ENT8166"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT22309", "ENT33408"], "valid_edges": [["BABY TAKE A BOW", "has_genre", "ENT11222"], ["BABY TAKE A BOW", "REL7", "ENT97"], ["ENT22309", "has_genre", "ENT11222"], ["ENT33408", "REL7", "ENT97"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["1947", "SHERMAN TODD"], "valid_edges": [["DEAD RECKONING", "REL1", "ENT17548"], ["DEAD RECKONING", "REL5", "ENT17548"], ["DEAD RECKONING", "REL7", "1947"], ["DEAD RECKONING", "REL8", "ENT20858"], ["THE RACKET", "REL1", "ENT17548"], ["THE RACKET", "REL1", "SHERMAN TODD"], ["THE RACKET", "REL8", "ENT20858"...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["GARY NELSON", "ENT27442"], "valid_edges": [["ENT1697", "REL1", "GARY NELSON"], ["ENT1697", "has_genre", "ENT7161"], ["ENT12048", "REL1", "GARY NELSON"], ["ENT12048", "has_genre", "ENT7161"], ["ENT39678", "has_genre", "ENT7161"], ["ENT39678", "REL5", "ENT27442"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["DOROTHY STICKNEY", "HOWARD HAWKS"], "valid_edges": [["ENT15090", "REL7", "ENT136"], ["ENT15090", "REL8", "DOROTHY STICKNEY"], ["ENT28585", "REL1", "HOWARD HAWKS"], ["ENT28585", "REL7", "ENT136"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ALEXANDRA HAY", "ENT19480"], "valid_edges": [["ENT19478", "REL1", "ENT17640"], ["ENT19478", "REL5", "ENT3569"], ["ENT19478", "REL5", "ENT19478"], ["ENT19478", "REL5", "MONSTER"], ["ENT19480", "REL1", "ENT17640"], ["ENT19480", "REL5", "ENT19478"], ["ENT19480", "REL5", "MONSTER"], ["ENT23962", "REL5", "ENT...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst 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 L. LINDSEY", "ENT18470"], "valid_edges": [["ENT4404", "has_genre", "ENT37036"], ["ENT4404", "REL8", "ENT18470"], ["ENT23087", "has_genre", "ENT37036"], ["ENT23087", "REL9", "DAVID L. LINDSEY"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT3804", "ENT24425"], "valid_edges": [["ENT457", "has_genre", "ENT7161"], ["ENT457", "REL8", "ENT10171"], ["A MONKEY IN WINTER", "has_genre", "ENT7161"], ["A MONKEY IN WINTER", "REL7", "ENT128"], ["ENT602", "has_genre", "ENT7161"], ["ENT602", "REL5", "ENT7161"], ["ENT602", "REL5", "ENT10171"], ["ENT602"...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["MR. HOLLAND'S OPUS", "ENT31775"], "valid_edges": [["MR. HOLLAND'S OPUS", "REL7", "ENT164"], ["PAN", "in_language", "DANISH"], ["PAN", "REL7", "ENT164"], ["ENT31775", "in_language", "DANISH"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT31120", "ENT31506"], "valid_edges": [["ENT31506", "REL8", "FRED WARD"], ["ENT37051", "in_language", "ENT31120"], ["ENT37051", "REL8", "FRED WARD"]]}
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MetaQA

This dataset contains the replaced version of MetaQA, where all entities are mapped to ENT1..ENTn and relations to REL1..RELm.

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