data_source stringclasses 1
value | prompt stringlengths 1.02k 2.26k | ability stringclasses 1
value | reward_model dict | extra_info dict |
|---|---|---|---|---|
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": [
"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 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"EMPIRE",
"INTERIORS"
],
"ground_truth": [
[
"EMPIRE",
"release_year",
"2002"
],
[
"HOLLYWOOD ENDING",
"release_year",
"2002"
],
[
"HOLLYWOOD ENDING",
"directed_by",
"WOODY ALLEN"
],
[
"INTERIORS",
... |
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": [
"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 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"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 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"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 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"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 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"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 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"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 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"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 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"CONTACT",
"PRIMEVAL"
],
"ground_truth": [
[
"CONTACT",
"directed_by",
"ROBERT ZEMECKIS"
],
[
"WHAT LIES BENEATH",
"directed_by",
"ROBERT ZEMECKIS"
],
[
"WHAT LIES BENEATH",
"has_genre",
"HORROR"
],
[
"... |
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": [
"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 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"BRAIN DRAIN",
"THE CROSS"
],
"ground_truth": [
[
"BRAIN DRAIN",
"release_year",
"2009"
],
[
"THE CROSS",
"release_year",
"2009"
]
],
"gt_cost": 0.40269051197236927,
"valid_edges": [
[
"THE CROSS",
"has_genre",
... |
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": [
"CHAW MANK",
"FANTASY"
],
"ground_truth": [
[
"VALENTINO",
"written_by",
"CHAW MANK"
],
[
"VALENTINO",
"release_year",
"1977"
],
[
"THE BROTHERS LIONHEART",
"release_year",
"1977"
],
[
"THE BROTHERS LIO... |
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": [
"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 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"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 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"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 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"MICHEL DEVILLE",
"VANESSA PARADIS"
],
"ground_truth": [
[
"DOSSIER 51",
"directed_by",
"MICHEL DEVILLE"
],
[
"DOSSIER 51",
"in_language",
"FRENCH"
],
[
"HEARTBREAKER",
"in_language",
"FRENCH"
],
[
"HEA... |
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": [
"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 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"17 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 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"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 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"CLASS",
"KIN-DZA-DZA!"
],
"ground_truth": [
[
"CLASS",
"has_genre",
"COMEDY"
],
[
"KIN-DZA-DZA!",
"has_genre",
"COMEDY"
]
],
"gt_cost": 0.4464764003184699,
"valid_edges": [
[
"KIN-DZA-DZA!",
"has_genre",
"COME... |
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": [
"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 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"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 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
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 BARBER",
"LABYRINTH"
],
"ground_truth": [
[
"IDLEWILD",
"directed_by",
"BRYAN BARBER"
],
[
"IDLEWILD",
"has_genre",
"MUSICAL"
],
[
"LABYRINTH",
"has_tags",
"MUSICAL"
]
],
"gt_cost": 0.5718985685516874,... |
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": [
"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 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"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 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"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 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"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 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"GÉRALDINE NAKACHE",
"SHORT"
],
"ground_truth": [
[
"TOUT CE QUI BRILLE",
"directed_by",
"GÉRALDINE NAKACHE"
],
[
"TOUT CE QUI BRILLE",
"in_language",
"FRENCH"
],
[
"EN RACHÂCHANT",
"in_language",
"FRENCH"
],
... |
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": [
"HAYDEN HERRERA",
"PHILLIP SCHNEIDER"
],
"ground_truth": [
[
"FRIDA",
"written_by",
"HAYDEN HERRERA"
],
[
"FRIDA",
"release_year",
"2002"
],
[
"SWIMFAN",
"release_year",
"2002"
],
[
"SWIMFAN",
"wr... |
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": [
"DAMES",
"FLOATING CLOUDS"
],
"ground_truth": [
[
"DAMES",
"has_genre",
"MUSICAL"
],
[
"PRINCESS RACCOON",
"has_genre",
"MUSICAL"
],
[
"PRINCESS RACCOON",
"in_language",
"JAPANESE"
],
[
"FLOATING CLOUDS... |
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": [
"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 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"BULGARIAN",
"NEWTON THORNBURG"
],
"ground_truth": [
[
"EASTERN PLAYS",
"in_language",
"BULGARIAN"
],
[
"EASTERN PLAYS",
"release_year",
"2009"
],
[
"BEAUTIFUL KATE",
"release_year",
"2009"
],
[
"BEAUTI... |
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": [
"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 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"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 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"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 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"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 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"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 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"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 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"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 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"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?",
"has_... |
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": [
"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 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"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 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"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 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"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 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
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 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 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"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 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"entities": [
"JOAQUIM DE ALMEIDA",
"MINNIE DRIVER"
],
"ground_truth": [
[
"LA CUCARACHA",
"starred_actors",
"JOAQUIM DE ALMEIDA"
],
[
"LA CUCARACHA",
"release_year",
"1998"
],
[
"HARD RAIN",
"release_year",
"1998"
],
[
... |
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": [
"FRANKLYN SEALES",
"THE SNITCH CARTEL"
],
"ground_truth": [
[
"THE ONION FIELD",
"starred_actors",
"FRANKLYN SEALES"
],
[
"THE ONION FIELD",
"has_genre",
"CRIME"
],
[
"THE SNITCH CARTEL",
"has_genre",
"CRIME"
]
... |
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": [
"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 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"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 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each ... | graph_path | {
"style": "rule"
} | {
"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... |
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