data_source stringclasses 1
value | ability stringclasses 1
value | reward_model dict | prompt stringlengths 985 1.22k | extra_info dict |
|---|---|---|---|---|
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"LENA ENDRE",
"THE QUIET"
],
"ground_truth": [
[
"JERUSALEM",
"starred_actors",
"LENA ENDRE"
],
[
"KINGDOM OF HEAVEN",
"has_tags",
"JERUSALEM"
],
[
"KINGDOM OF HEAVEN",
"release_year",
"2005"
],
[
"THE ... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"EMPIRE",
"INTERIORS"
],
"ground_truth": [
[
"EMPIRE",
"release_year",
"2002"
],
[
"HOLLYWOOD ENDING",
"release_year",
"2002"
],
[
"HOLLYWOOD ENDING",
"directed_by",
"WOODY ALLEN"
],
[
"INTERIORS",
... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"PETER WOLLEN",
"YURIY NORSHTEYN"
],
"ground_truth": [
[
"THE PASSENGER",
"written_by",
"PETER WOLLEN"
],
[
"THE PASSENGER",
"release_year",
"1975"
],
[
"HEDGEHOG IN THE FOG",
"release_year",
"1975"
],
[
... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"JOHN LAURIE",
"POLLY JAMES"
],
"ground_truth": [
[
"THE WAY AHEAD",
"starred_actors",
"JOHN LAURIE"
],
[
"THE WAY AHEAD",
"release_year",
"1944"
],
[
"MRS. PARKINGTON",
"release_year",
"1944"
],
[
"MRS... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"JORGE D'ELÍA",
"LINDA BASSETT"
],
"ground_truth": [
[
"LOST EMBRACE",
"starred_actors",
"JORGE D'ELÍA"
],
[
"LOST EMBRACE",
"has_genre",
"COMEDY"
],
[
"WEST IS WEST",
"has_genre",
"COMEDY"
],
[
"WEST I... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"ALIAS BETTY",
"THE BIG STAMPEDE"
],
"ground_truth": [
[
"ALIAS BETTY",
"in_language",
"FRENCH"
],
[
"BOUDU SAVED FROM DROWNING",
"in_language",
"FRENCH"
],
[
"BOUDU SAVED FROM DROWNING",
"release_year",
"1932"
]... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"KEN CURTIS",
"WILLIAM HOLDEN"
],
"ground_truth": [
[
"THE KILLER SHREWS",
"starred_actors",
"KEN CURTIS"
],
[
"THE KILLER SHREWS",
"release_year",
"1959"
],
[
"THE HORSE SOLDIERS",
"release_year",
"1959"
],
... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"IMAGINARY FRIEND",
"REVENGE OF THE ZOMBIES"
],
"ground_truth": [
[
"DROP DEAD FRED",
"has_tags",
"IMAGINARY FRIEND"
],
[
"DROP DEAD FRED",
"has_genre",
"COMEDY"
],
[
"REVENGE OF THE ZOMBIES",
"has_genre",
"COMEDY"
... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"BEVERLY GARLAND",
"CATHERINE O'HARA"
],
"ground_truth": [
[
"ROLLER BOOGIE",
"starred_actors",
"BEVERLY GARLAND"
],
[
"ROLLER BOOGIE",
"has_genre",
"MUSIC"
],
[
"THE NIGHTMARE BEFORE CHRISTMAS",
"has_tags",
"MUSIC"
... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"CONTACT",
"PRIMEVAL"
],
"ground_truth": [
[
"CONTACT",
"directed_by",
"ROBERT ZEMECKIS"
],
[
"WHAT LIES BENEATH",
"directed_by",
"ROBERT ZEMECKIS"
],
[
"WHAT LIES BENEATH",
"has_genre",
"HORROR"
],
[
"... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"BLACKBALL",
"STEPHEN CHOW"
],
"ground_truth": [
[
"BLACKBALL",
"has_genre",
"COMEDY"
],
[
"KING OF COMEDY",
"has_genre",
"COMEDY"
],
[
"KING OF COMEDY",
"directed_by",
"STEPHEN CHOW"
]
],
"gt_cost": 0.618590... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"BRAIN DRAIN",
"THE CROSS"
],
"ground_truth": [
[
"BRAIN DRAIN",
"release_year",
"2009"
],
[
"THE CROSS",
"release_year",
"2009"
]
],
"gt_cost": 0.40269051197236927,
"valid_edges": [
[
"BRAIN DRAIN",
"in_language",
... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"CHAW MANK",
"FANTASY"
],
"ground_truth": [
[
"VALENTINO",
"written_by",
"CHAW MANK"
],
[
"VALENTINO",
"release_year",
"1977"
],
[
"THE BROTHERS LIONHEART",
"release_year",
"1977"
],
[
"THE BROTHERS LIO... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"CHANDU THE MAGICIAN",
"ELEPHANT"
],
"ground_truth": [
[
"CHANDU THE MAGICIAN",
"release_year",
"1932"
],
[
"ALIAS THE DOCTOR",
"release_year",
"1932"
],
[
"ALIAS THE DOCTOR",
"has_genre",
"DRAMA"
],
[
... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"THE GREAT LOCOMOTIVE CHASE",
"WITNESS"
],
"ground_truth": [
[
"THE GREAT LOCOMOTIVE CHASE",
"has_genre",
"ADVENTURE"
],
[
"CUT AND RUN",
"has_genre",
"ADVENTURE"
],
[
"CUT AND RUN",
"release_year",
"1985"
],
... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"SVETLANA KARMALITA",
"VHS"
],
"ground_truth": [
[
"KHRUSTALYOV, MY CAR!",
"written_by",
"SVETLANA KARMALITA"
],
[
"KHRUSTALYOV, MY CAR!",
"has_genre",
"DRAMA"
],
[
"BE KIND REWIND",
"has_genre",
"DRAMA"
],
[... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"MICHEL DEVILLE",
"VANESSA PARADIS"
],
"ground_truth": [
[
"DOSSIER 51",
"directed_by",
"MICHEL DEVILLE"
],
[
"DOSSIER 51",
"in_language",
"FRENCH"
],
[
"HEARTBREAKER",
"in_language",
"FRENCH"
],
[
"HEA... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"GORILLA AT LARGE",
"IDENTIFICATION OF A WOMAN"
],
"ground_truth": [
[
"GORILLA AT LARGE",
"starred_actors",
"CAMERON MITCHELL"
],
[
"BLOOD AND BLACK LACE",
"starred_actors",
"CAMERON MITCHELL"
],
[
"BLOOD AND BLACK LACE",
... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"17 AGAIN",
"ANTHONY BELL"
],
"ground_truth": [
[
"17 AGAIN",
"has_genre",
"COMEDY"
],
[
"ALPHA AND OMEGA",
"has_genre",
"COMEDY"
],
[
"ALPHA AND OMEGA",
"directed_by",
"ANTHONY BELL"
]
],
"gt_cost": 0.587764... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"HARRY ANDREWS",
"SHAKESPEAREAN"
],
"ground_truth": [
[
"A CIRCLE OF DECEPTION",
"starred_actors",
"HARRY ANDREWS"
],
[
"A CIRCLE OF DECEPTION",
"has_genre",
"WAR"
],
[
"RAN",
"has_genre",
"WAR"
],
[
"R... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"CLASS",
"KIN-DZA-DZA!"
],
"ground_truth": [
[
"CLASS",
"has_genre",
"COMEDY"
],
[
"KIN-DZA-DZA!",
"has_genre",
"COMEDY"
]
],
"gt_cost": 0.4464764003184699,
"valid_edges": [
[
"CLASS",
"has_genre",
"COMEDY"
... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"HESTER STREET",
"IRENE MIRACLE"
],
"ground_truth": [
[
"HESTER STREET",
"has_tags",
"BD-R"
],
[
"MIDNIGHT EXPRESS",
"has_tags",
"BD-R"
],
[
"MIDNIGHT EXPRESS",
"starred_actors",
"IRENE MIRACLE"
]
],
"gt_cost... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"BAYAR",
"ZOMBIE LAKE"
],
"ground_truth": [
[
"BABIES",
"starred_actors",
"BAYAR"
],
[
"BABIES",
"has_tags",
"FRENCH"
],
[
"ZOMBIE LAKE",
"in_language",
"FRENCH"
]
],
"gt_cost": 0.5499257904428861,
"valid_e... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"BRYAN BARBER",
"LABYRINTH"
],
"ground_truth": [
[
"IDLEWILD",
"directed_by",
"BRYAN BARBER"
],
[
"IDLEWILD",
"has_genre",
"MUSICAL"
],
[
"LABYRINTH",
"has_tags",
"MUSICAL"
]
],
"gt_cost": 0.5718985685516874,... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"NOB HILL",
"TRASH"
],
"ground_truth": [
[
"NOB HILL",
"has_genre",
"DRAMA"
],
[
"TRASH HUMPERS",
"has_genre",
"DRAMA"
],
[
"TRASH HUMPERS",
"has_tags",
"TRASH"
]
],
"gt_cost": 0.6186871689460786,
"valid_ed... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"FRANÇOIS PIROT",
"VERONICA LAKE"
],
"ground_truth": [
[
"PRIVATE LESSONS",
"written_by",
"FRANÇOIS PIROT"
],
[
"PRIVATE LESSONS",
"has_genre",
"COMEDY"
],
[
"SULLIVAN'S TRAVELS",
"has_genre",
"COMEDY"
],
[
... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"CAROL DOYLE",
"LESLI LINKA GLATTER"
],
"ground_truth": [
[
"WASHINGTON SQUARE",
"written_by",
"CAROL DOYLE"
],
[
"WASHINGTON SQUARE",
"has_genre",
"DRAMA"
],
[
"NOW AND THEN",
"has_genre",
"DRAMA"
],
[
... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"BRUISER",
"SHAG"
],
"ground_truth": [
[
"BRUISER",
"starred_actors",
"LESLIE HOPE"
],
[
"MEN AT WORK",
"starred_actors",
"LESLIE HOPE"
],
[
"MEN AT WORK",
"has_genre",
"COMEDY"
],
[
"SHAG",
"has_... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"HAYDEN HERRERA",
"PHILLIP SCHNEIDER"
],
"ground_truth": [
[
"FRIDA",
"written_by",
"HAYDEN HERRERA"
],
[
"FRIDA",
"release_year",
"2002"
],
[
"SWIMFAN",
"release_year",
"2002"
],
[
"SWIMFAN",
"wr... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"SUZZANNE DOUGLAS",
"THE BRIDE WORE BLACK"
],
"ground_truth": [
[
"THE INKWELL",
"starred_actors",
"SUZZANNE DOUGLAS"
],
[
"THE INKWELL",
"has_genre",
"DRAMA"
],
[
"BLACK",
"has_genre",
"DRAMA"
],
[
"TH... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"BULGARIAN",
"NEWTON THORNBURG"
],
"ground_truth": [
[
"EASTERN PLAYS",
"in_language",
"BULGARIAN"
],
[
"EASTERN PLAYS",
"release_year",
"2009"
],
[
"BEAUTIFUL KATE",
"release_year",
"2009"
],
[
"BEAUTI... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"ANDREAS DRESEN",
"SHARON TATE"
],
"ground_truth": [
[
"GRILL POINT",
"directed_by",
"ANDREAS DRESEN"
],
[
"GRILL POINT",
"has_genre",
"DRAMA"
],
[
"VALLEY OF THE DOLLS",
"has_genre",
"DRAMA"
],
[
"VALL... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"ERICA RIVINOJA",
"TOM EWELL"
],
"ground_truth": [
[
"CLOUDY WITH A CHANCE OF MEATBALLS 2",
"written_by",
"ERICA RIVINOJA"
],
[
"CLOUDY WITH A CHANCE OF MEATBALLS 2",
"has_genre",
"COMEDY"
],
[
"THE GIRL CAN'T HELP IT",
"h... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"HOUSE OF GAMES",
"THE ORDER"
],
"ground_truth": [
[
"HOUSE OF GAMES",
"directed_by",
"DAVID MAMET"
],
[
"THE SPANISH PRISONER",
"directed_by",
"DAVID MAMET"
],
[
"THE SPANISH PRISONER",
"has_genre",
"MYSTERY"
],... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"FRED MCCARREN",
"WRONG"
],
"ground_truth": [
[
"THE BOOGENS",
"starred_actors",
"FRED MCCARREN"
],
[
"THE BOOGENS",
"release_year",
"1981"
],
[
"1981",
"has_genre",
"COMEDY"
],
[
"WRONG",
"has_ge... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"PARISIAN LOVE",
"SAINT JOAN"
],
"ground_truth": [
[
"PARISIAN LOVE",
"release_year",
"1925"
],
[
"GO WEST",
"release_year",
"1925"
],
[
"GO WEST",
"has_tags",
"BD-R"
],
[
"SAINT JOAN",
"has_tags"... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"DESPERATELY SEEKING SUSAN",
"SLEEPLESS NIGHT"
],
"ground_truth": [
[
"DESPERATELY SEEKING SUSAN",
"release_year",
"1985"
],
[
"THE PEANUT BUTTER SOLUTION",
"release_year",
"1985"
],
[
"THE PEANUT BUTTER SOLUTION",
"in_lan... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"GERONIMO",
"GHOST"
],
"ground_truth": [
[
"GERONIMO",
"release_year",
"1962"
],
[
"THE MAGIC SWORD",
"release_year",
"1962"
],
[
"THE MAGIC SWORD",
"has_genre",
"FANTASY"
],
[
"GHOST",
"has_genre... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"ARE WE DONE YET?",
"SHOOTER"
],
"ground_truth": [
[
"ARE WE DONE YET?",
"release_year",
"2007"
],
[
"SHOOTER",
"release_year",
"2007"
]
],
"gt_cost": 0.42108170279341006,
"valid_edges": [
[
"ARE WE DONE YET?",
"star... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"EDOUARD BAER",
"SAMULI VALKAMA"
],
"ground_truth": [
[
"GOD IS GREAT AND I'M NOT",
"starred_actors",
"EDOUARD BAER"
],
[
"GOD IS GREAT AND I'M NOT",
"has_genre",
"COMEDY"
],
[
"LOVE AND OTHER TROUBLES",
"has_genre",
... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"DIAL 1119",
"GLORIA GRAHAME"
],
"ground_truth": [
[
"DIAL 1119",
"release_year",
"1950"
],
[
"IN A LONELY PLACE",
"release_year",
"1950"
],
[
"IN A LONELY PLACE",
"starred_actors",
"GLORIA GRAHAME"
]
],
"gt_... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"BARBARA BACH",
"SECOND IN COMMAND"
],
"ground_truth": [
[
"FORCE 10 FROM NAVARONE",
"starred_actors",
"BARBARA BACH"
],
[
"FORCE 10 FROM NAVARONE",
"has_genre",
"WAR"
],
[
"WAR",
"has_genre",
"ACTION"
],
[
... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"FAR FROM HEAVEN",
"THE MANGLER"
],
"ground_truth": [
[
"FAR FROM HEAVEN",
"directed_by",
"TODD HAYNES"
],
[
"SAFE",
"directed_by",
"TODD HAYNES"
],
[
"SAFE",
"release_year",
"1995"
],
[
"THE MANGLER",
... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"GEORGE TYNE",
"THE KING'S SPEECH"
],
"ground_truth": [
[
"A WALK IN THE SUN",
"starred_actors",
"GEORGE TYNE"
],
[
"A WALK IN THE SUN",
"has_genre",
"WAR"
],
[
"THE KING'S SPEECH",
"has_tags",
"WAR"
]
],
"gt... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"MICKEY LIDDELL",
"PHILOSOPHY"
],
"ground_truth": [
[
"THE HAUNTING OF MOLLY HARTLEY",
"directed_by",
"MICKEY LIDDELL"
],
[
"THE HAUNTING OF MOLLY HARTLEY",
"release_year",
"2008"
],
[
"EXAMINED LIFE",
"release_year",
... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"ALEXANDER PAAL",
"SHADOW OF THE VAMPIRE"
],
"ground_truth": [
[
"COUNTESS DRACULA",
"written_by",
"ALEXANDER PAAL"
],
[
"COUNTESS DRACULA",
"has_genre",
"HORROR"
],
[
"SHADOW OF THE VAMPIRE",
"has_genre",
"HORROR"
... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"ADAM HICKS",
"AUSTRALIA"
],
"ground_truth": [
[
"HOW TO EAT FRIED WORMS",
"starred_actors",
"ADAM HICKS"
],
[
"HOW TO EAT FRIED WORMS",
"release_year",
"2006"
],
[
"CANDY",
"release_year",
"2006"
],
[
... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"JOEY HEATHERTON",
"P.S."
],
"ground_truth": [
[
"WHERE LOVE HAS GONE",
"starred_actors",
"JOEY HEATHERTON"
],
[
"WHERE LOVE HAS GONE",
"has_genre",
"DRAMA"
],
[
"P.S.",
"has_genre",
"DRAMA"
]
],
"gt_cost": 0... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"ADVANCE TO THE REAR",
"ETERNITY AND A DAY"
],
"ground_truth": [
[
"ADVANCE TO THE REAR",
"release_year",
"1964"
],
[
"ZORBA THE GREEK",
"release_year",
"1964"
],
[
"ZORBA THE GREEK",
"in_language",
"GREEK"
],
... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"MALAYA",
"THE OX-BOW INCIDENT"
],
"ground_truth": [
[
"MALAYA",
"directed_by",
"RICHARD THORPE"
],
[
"ABOVE SUSPICION",
"directed_by",
"RICHARD THORPE"
],
[
"ABOVE SUSPICION",
"release_year",
"1943"
],
[
... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"MICHAEL MAYER",
"SIOBHAN REILLY"
],
"ground_truth": [
[
"A HOME AT THE END OF THE WORLD",
"directed_by",
"MICHAEL MAYER"
],
[
"A HOME AT THE END OF THE WORLD",
"has_genre",
"DRAMA"
],
[
"THE ANGELS' SHARE",
"has_genre",
... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"INVISIBLE TARGET",
"THE CENTRAL PARK FIVE"
],
"ground_truth": [
[
"INVISIBLE TARGET",
"release_year",
"2007"
],
[
"AMERICA THE BEAUTIFUL",
"release_year",
"2007"
],
[
"AMERICA THE BEAUTIFUL",
"has_genre",
"DOCUMENTA... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"JAMES SEAY",
"VIDEO GAME"
],
"ground_truth": [
[
"VOODOO TIGER",
"starred_actors",
"JAMES SEAY"
],
[
"VOODOO TIGER",
"has_genre",
"ADVENTURE"
],
[
"SUPER MARIO BROS.",
"has_genre",
"ADVENTURE"
],
[
"SU... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"ROBERT TAYLOR",
"TONY LEUNG CHIU WAI"
],
"ground_truth": [
[
"PARTY GIRL",
"starred_actors",
"ROBERT TAYLOR"
],
[
"PARTY GIRL",
"release_year",
"1995"
],
[
"CYCLO",
"release_year",
"1995"
],
[
"CYCLO",... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"THE REVENGE OF FRANKENSTEIN",
"WILLARD PARKER"
],
"ground_truth": [
[
"THE REVENGE OF FRANKENSTEIN",
"directed_by",
"TERENCE FISHER"
],
[
"THE EARTH DIES SCREAMING",
"directed_by",
"TERENCE FISHER"
],
[
"THE EARTH DIES SCREAMIN... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"DUDLEY MOORE",
"SAUL BELLOW"
],
"ground_truth": [
[
"THE ADVENTURES OF MILO AND OTIS",
"starred_actors",
"DUDLEY MOORE"
],
[
"THE ADVENTURES OF MILO AND OTIS",
"release_year",
"1986"
],
[
"SEIZE THE DAY",
"release_year",
... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"AKEMI YAMAGUCHI",
"JAVIER CÁMARA"
],
"ground_truth": [
[
"GRAVE OF THE FIREFLIES",
"starred_actors",
"AKEMI YAMAGUCHI"
],
[
"GRAVE OF THE FIREFLIES",
"has_genre",
"DRAMA"
],
[
"TALK TO HER",
"has_genre",
"DRAMA"
... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"DUSTIN LEE ABRAHAM",
"SEAN ANDERS"
],
"ground_truth": [
[
"HOW HIGH",
"written_by",
"DUSTIN LEE ABRAHAM"
],
[
"HOW HIGH",
"has_genre",
"COMEDY"
],
[
"THAT'S MY BOY",
"has_genre",
"COMEDY"
],
[
"THAT'S ... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"HOLY ROLLERS",
"WHITE MATERIAL"
],
"ground_truth": [
[
"HOLY ROLLERS",
"release_year",
"2010"
],
[
"A SCREAMING MAN",
"release_year",
"2010"
],
[
"A SCREAMING MAN",
"in_language",
"FRENCH"
],
[
"WHITE ... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"ERIC LOMAX",
"NIGHT TRAIN TO LISBON"
],
"ground_truth": [
[
"THE RAILWAY MAN",
"written_by",
"ERIC LOMAX"
],
[
"THE RAILWAY MAN",
"release_year",
"2013"
],
[
"NIGHT TRAIN TO LISBON",
"release_year",
"2013"
]
]... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"ANTOINE BERTRAND",
"AUDREY TOTTER"
],
"ground_truth": [
[
"LOUIS CYR",
"starred_actors",
"ANTOINE BERTRAND"
],
[
"LOUIS CYR",
"has_genre",
"DRAMA"
],
[
"TENSION",
"has_genre",
"DRAMA"
],
[
"TENSION",
... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"CITIZEN KANE",
"WALTER FORDE"
],
"ground_truth": [
[
"CITIZEN KANE",
"release_year",
"1941"
],
[
"1941",
"has_genre",
"COMEDY"
],
[
"CHU CHIN CHOW",
"has_genre",
"COMEDY"
],
[
"CHU CHIN CHOW",
"d... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"GUITAR WOLF",
"HELEN MIRREN"
],
"ground_truth": [
[
"WILD ZERO",
"starred_actors",
"GUITAR WOLF"
],
[
"WILD ZERO",
"release_year",
"1999"
],
[
"TEACHING MRS. TINGLE",
"release_year",
"1999"
],
[
"TEACH... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"JEREMY SISTO",
"JEWS"
],
"ground_truth": [
[
"WITHOUT LIMITS",
"starred_actors",
"JEREMY SISTO"
],
[
"WITHOUT LIMITS",
"has_imdb_rating",
"GOOD"
],
[
"MY BLUE HEAVEN",
"has_imdb_rating",
"GOOD"
],
[
"M... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"SIMON LYNDON",
"SITA SINGS THE BLUES"
],
"ground_truth": [
[
"CHOPPER",
"starred_actors",
"SIMON LYNDON"
],
[
"CHOPPER",
"has_tags",
"AUSTRALIA"
],
[
"AUSTRALIA",
"release_year",
"2008"
],
[
"SITA SING... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"I'M GOING HOME",
"TACTICAL FORCE"
],
"ground_truth": [
[
"I'M GOING HOME",
"in_language",
"FRENCH"
],
[
"SLEEPLESS NIGHT",
"in_language",
"FRENCH"
],
[
"SLEEPLESS NIGHT",
"release_year",
"2011"
],
[
"T... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"FANNIE HURST",
"KONGO"
],
"ground_truth": [
[
"HUMORESQUE",
"written_by",
"FANNIE HURST"
],
[
"HUMORESQUE",
"has_tags",
"BD-R"
],
[
"KONGO",
"has_tags",
"BD-R"
]
],
"gt_cost": 0.604738803966492,
"valid_edg... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"JOHNNIE TO",
"MARVIN H. ALBERT"
],
"ground_truth": [
[
"THE MISSION",
"directed_by",
"JOHNNIE TO"
],
[
"THE MISSION",
"has_genre",
"DRAMA"
],
[
"TONY ROME",
"has_genre",
"DRAMA"
],
[
"TONY ROME",
... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"BENDT ROTHE",
"WILLIAM TANNEN"
],
"ground_truth": [
[
"GERTRUD",
"starred_actors",
"BENDT ROTHE"
],
[
"GERTRUD",
"has_genre",
"DRAMA"
],
[
"FLASHPOINT",
"has_genre",
"DRAMA"
],
[
"FLASHPOINT",
"d... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"TIM GRAYEM",
"TOKYO-GA"
],
"ground_truth": [
[
"TOP DOG",
"written_by",
"TIM GRAYEM"
],
[
"TOP DOG",
"has_tags",
"POLICE"
],
[
"POLICE",
"release_year",
"1985"
],
[
"TOKYO-GA",
"release_year",
... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"MATT CHARMAN",
"THE RED SQUIRREL"
],
"ground_truth": [
[
"SUITE FRANÇAISE",
"written_by",
"MATT CHARMAN"
],
[
"SUITE FRANÇAISE",
"in_language",
"GERMAN"
],
[
"THE GIRL OF YOUR DREAMS",
"in_language",
"GERMAN"
],... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"IN NAME ONLY",
"THE BACKWOODS"
],
"ground_truth": [
[
"IN NAME ONLY",
"starred_actors",
"KAY FRANCIS"
],
[
"RAFFLES",
"starred_actors",
"KAY FRANCIS"
],
[
"RAFFLES",
"in_language",
"ENGLISH"
],
[
"THE ... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"GARY MCKENDRY",
"JAMES D'ARCY"
],
"ground_truth": [
[
"KILLER ELITE",
"directed_by",
"GARY MCKENDRY"
],
[
"KILLER ELITE",
"release_year",
"2011"
],
[
"W.E.",
"release_year",
"2011"
],
[
"W.E.",
"... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"JEREMY",
"THE HARVEY GIRLS"
],
"ground_truth": [
[
"JEREMY",
"has_genre",
"ROMANCE"
],
[
"UNDER THE BRIDGES",
"has_genre",
"ROMANCE"
],
[
"UNDER THE BRIDGES",
"release_year",
"1946"
],
[
"THE HARVEY GI... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"GENERATION UM...",
"SAMURAI BANNERS"
],
"ground_truth": [
[
"GENERATION UM...",
"has_genre",
"DRAMA"
],
[
"SAMURAI BANNERS",
"has_genre",
"DRAMA"
]
],
"gt_cost": 0.43221478908901356,
"valid_edges": [
[
"GENERATION UM...",... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"EDWARD KERR",
"GEORGE CUKOR"
],
"ground_truth": [
[
"ABOVE SUSPICION",
"starred_actors",
"EDWARD KERR"
],
[
"ABOVE SUSPICION",
"starred_actors",
"JOAN CRAWFORD"
],
[
"A WOMAN'S FACE",
"starred_actors",
"JOAN CRAWFOR... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"MUSIC IN THE AIR",
"THE DEFIANT ONES"
],
"ground_truth": [
[
"MUSIC IN THE AIR",
"has_genre",
"MUSICAL"
],
[
"JAILHOUSE ROCK",
"has_genre",
"MUSICAL"
],
[
"JAILHOUSE ROCK",
"written_by",
"NEDRICK YOUNG"
],
[... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"DENIS WALDOCK",
"JESSICA SIMPSON"
],
"ground_truth": [
[
"MIRANDA",
"written_by",
"DENIS WALDOCK"
],
[
"MIRANDA",
"has_genre",
"COMEDY"
],
[
"BLONDE AMBITION",
"has_genre",
"COMEDY"
],
[
"BLONDE AMBITI... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"ROBERT KNOTT",
"SCARLETT JOHANSSON"
],
"ground_truth": [
[
"APPALOOSA",
"written_by",
"ROBERT KNOTT"
],
[
"APPALOOSA",
"release_year",
"2008"
],
[
"THE SPIRIT",
"release_year",
"2008"
],
[
"THE SPIRIT"... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"DAVID HASSELHOFF",
"UGH"
],
"ground_truth": [
[
"STARCRASH",
"starred_actors",
"DAVID HASSELHOFF"
],
[
"STARCRASH",
"in_language",
"ENGLISH"
],
[
"WATCHMEN",
"in_language",
"ENGLISH"
],
[
"WATCHMEN",
... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"DAMON RUNYON",
"GOOD NEWS"
],
"ground_truth": [
[
"GUYS AND DOLLS",
"written_by",
"DAMON RUNYON"
],
[
"GUYS AND DOLLS",
"has_genre",
"MUSICAL"
],
[
"GOOD NEWS",
"has_genre",
"MUSICAL"
]
],
"gt_cost": 0.58128... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"DAVID BRIGGS",
"UP"
],
"ground_truth": [
[
"BEYOND ALL BOUNDARIES",
"directed_by",
"DAVID BRIGGS"
],
[
"BEYOND ALL BOUNDARIES",
"release_year",
"2009"
],
[
"UP",
"release_year",
"2009"
]
],
"gt_cost": 0.5562... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"MALIBU HIGH",
"NOT EASILY BROKEN"
],
"ground_truth": [
[
"MALIBU HIGH",
"release_year",
"1979"
],
[
"FROM THE CLOUDS TO THE RESISTANCE",
"release_year",
"1979"
],
[
"FROM THE CLOUDS TO THE RESISTANCE",
"has_genre",
... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"LOUIS C.K.",
"PETER RIEGERT"
],
"ground_truth": [
[
"POOTIE TANG",
"directed_by",
"LOUIS C.K."
],
[
"POOTIE TANG",
"has_genre",
"COMEDY"
],
[
"CROSSING DELANCEY",
"has_genre",
"COMEDY"
],
[
"CROSSING D... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"DIARY OF A CANNIBAL",
"LUIZ EDUARDO SOARES"
],
"ground_truth": [
[
"DIARY OF A CANNIBAL",
"release_year",
"2007"
],
[
"ELITE SQUAD",
"release_year",
"2007"
],
[
"ELITE SQUAD",
"written_by",
"LUIZ EDUARDO SOARES"
... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"JOZEF KRONER",
"PAUL LE MAT"
],
"ground_truth": [
[
"THE SHOP ON MAIN STREET",
"starred_actors",
"JOZEF KRONER"
],
[
"THE SHOP ON MAIN STREET",
"has_tags",
"BD-R"
],
[
"AMERICAN GRAFFITI",
"has_tags",
"BD-R"
],
... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"DODES'KA-DEN",
"YOSHIMITSU MORITA"
],
"ground_truth": [
[
"DODES'KA-DEN",
"in_language",
"JAPANESE"
],
[
"THE FAMILY GAME",
"in_language",
"JAPANESE"
],
[
"THE FAMILY GAME",
"directed_by",
"YOSHIMITSU MORITA"
]
... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"3",
"KEVIN TANCHAROEN"
],
"ground_truth": [
[
"AMERICAN BEAUTY",
"has_tags",
"3"
],
[
"AMERICAN BEAUTY",
"has_tags",
"MUSIC"
],
[
"FAME",
"has_genre",
"MUSIC"
],
[
"FAME",
"directed_by",
"K... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"THE LITTLE COLONEL",
"THE RARE BREED"
],
"ground_truth": [
[
"THE LITTLE COLONEL",
"directed_by",
"DAVID BUTLER"
],
[
"SAN ANTONIO",
"directed_by",
"DAVID BUTLER"
],
[
"SAN ANTONIO",
"has_genre",
"WESTERN"
],
... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"JENNIFER LOPEZ",
"LOUIS MELLIS"
],
"ground_truth": [
[
"THE CELL",
"has_tags",
"JENNIFER LOPEZ"
],
[
"THE CELL",
"release_year",
"2000"
],
[
"GANGSTER NO. 1",
"release_year",
"2000"
],
[
"GANGSTER NO. ... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"JOHN LITHGOW",
"THE BORDER"
],
"ground_truth": [
[
"THE WORLD ACCORDING TO GARP",
"starred_actors",
"JOHN LITHGOW"
],
[
"THE WORLD ACCORDING TO GARP",
"release_year",
"1982"
],
[
"THE BORDER",
"release_year",
"1982"... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"ALEX GORDON",
"MARIAN MARSH"
],
"ground_truth": [
[
"JAIL BAIT",
"written_by",
"ALEX GORDON"
],
[
"JAIL BAIT",
"has_genre",
"CRIME"
],
[
"FIVE STAR FINAL",
"has_genre",
"CRIME"
],
[
"FIVE STAR FINAL",
... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"EXCISION",
"THE LIVING AND THE DEAD"
],
"ground_truth": [
[
"EXCISION",
"has_genre",
"DRAMA"
],
[
"THE LIVING AND THE DEAD",
"has_genre",
"DRAMA"
]
],
"gt_cost": 0.4428033098523,
"valid_edges": [
[
"EXCISION",
"has_... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"MARK PROTOSEVICH",
"WAYS TO LIVE FOREVER"
],
"ground_truth": [
[
"OLDBOY",
"written_by",
"MARK PROTOSEVICH"
],
[
"OLDBOY",
"has_tags",
"CONSPIRACY"
],
[
"CONSPIRACY",
"has_genre",
"DRAMA"
],
[
"WAYS TO... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"COCKNEYS VS ZOMBIES",
"MARRIED TO THE MOB"
],
"ground_truth": [
[
"COCKNEYS VS ZOMBIES",
"has_genre",
"COMEDY"
],
[
"MARRIED TO THE MOB",
"has_genre",
"COMEDY"
]
],
"gt_cost": 0.45073984607744905,
"valid_edges": [
[
"COCK... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"BLACK NATIVITY",
"FRANKENSTEIN'S ARMY"
],
"ground_truth": [
[
"BLACK NATIVITY",
"release_year",
"2013"
],
[
"FRANKENSTEIN'S ARMY",
"release_year",
"2013"
]
],
"gt_cost": 0.41058596943426195,
"valid_edges": [
[
"BLACK NATI... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"SLEEPWALKING",
"WE LIVE AGAIN"
],
"ground_truth": [
[
"SLEEPWALKING",
"has_genre",
"DRAMA"
],
[
"JOAN OF ARC",
"has_genre",
"DRAMA"
],
[
"JOAN OF ARC",
"written_by",
"MAXWELL ANDERSON"
],
[
"WE LIVE AG... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"LASSE SPANG OLSEN",
"ROBERT L. FISH"
],
"ground_truth": [
[
"IN CHINA THEY EAT DOGS",
"directed_by",
"LASSE SPANG OLSEN"
],
[
"IN CHINA THEY EAT DOGS",
"has_genre",
"ACTION"
],
[
"BULLITT",
"has_genre",
"ACTION"
... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"ANNIE POTTS",
"JOHN FORD"
],
"ground_truth": [
[
"WHO'S HARRY CRUMB?",
"starred_actors",
"ANNIE POTTS"
],
[
"WHO'S HARRY CRUMB?",
"has_genre",
"COMEDY"
],
[
"UPSTREAM",
"has_genre",
"COMEDY"
],
[
"UPST... |
metaqa | graph_path | {
"style": "rule"
} |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | {
"entities": [
"ISABELLE HOLLAND",
"JOSEPH FIENNES"
],
"ground_truth": [
[
"THE MAN WITHOUT A FACE",
"written_by",
"ISABELLE HOLLAND"
],
[
"THE MAN WITHOUT A FACE",
"has_genre",
"DRAMA"
],
[
"FOREVER MINE",
"has_genre",
"DRAMA"
... |
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