data_source stringclasses 1
value | prompt stringlengths 1.02k 13.8k | 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"
],
"valid_edges": [
[
"JERUSALEM",
"starred_actors",
"LENA ENDRE"
],
[
"KINGDOM OF HEAVEN",
"has_tags",
"JERUSALEM"
],
[
"KINGDOM OF HEAVEN",
"release_year",
"2005"
],
[
"THE Q... |
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"
],
"valid_edges": [
[
"EMPIRE",
"release_year",
"2002"
],
[
"HOLLYWOOD ENDING",
"directed_by",
"WOODY ALLEN"
],
[
"HOLLYWOOD ENDING",
"has_tags",
"WOODY ALLEN"
],
[
"HOLLYWOOD ENDI... |
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"
],
"valid_edges": [
[
"HEDGEHOG IN THE FOG",
"directed_by",
"YURIY NORSHTEYN"
],
[
"HEDGEHOG IN THE FOG",
"release_year",
"1975"
],
[
"THE PASSENGER",
"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"
],
"valid_edges": [
[
"MRS. PARKINGTON",
"release_year",
"1944"
],
[
"MRS. PARKINGTON",
"written_by",
"POLLY JAMES"
],
[
"THE WAY AHEAD",
"release_year",
"1944"
],
[
"THE WA... |
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"
],
"valid_edges": [
[
"CALENDAR GIRLS",
"has_genre",
"COMEDY"
],
[
"CALENDAR GIRLS",
"has_tags",
"BRITISH"
],
[
"CALENDAR GIRLS",
"starred_actors",
"LINDA BASSETT"
],
[
"... |
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"
],
"valid_edges": [
[
"ALIAS BETTY",
"release_year",
"2001"
],
[
"RAIN",
"release_year",
"1932"
],
[
"RAIN",
"release_year",
"2001"
],
[
"THE BIG STAMPEDE",
"rele... |
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"
],
"valid_edges": [
[
"THE HORSE SOLDIERS",
"release_year",
"1959"
],
[
"THE HORSE SOLDIERS",
"starred_actors",
"WILLIAM HOLDEN"
],
[
"THE KILLER SHREWS",
"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"
],
"valid_edges": [
[
"100 BLOODY ACRES",
"has_genre",
"COMEDY"
],
[
"100 BLOODY ACRES",
"has_genre",
"HORROR"
],
[
"13 SINS",
"has_genre",
"COMEDY"
],
[
"13... |
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"
],
"valid_edges": [
[
"ROLLER BOOGIE",
"has_genre",
"MUSIC"
],
[
"ROLLER BOOGIE",
"starred_actors",
"BEVERLY GARLAND"
],
[
"THE NIGHTMARE BEFORE CHRISTMAS",
"has_tags",
"CATHERIN... |
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"
],
"valid_edges": [
[
"ALIEN",
"has_tags",
"HUGO AWARD"
],
[
"ALIEN",
"has_tags",
"SCIENCE FICTION"
],
[
"BACK TO THE FUTURE",
"has_tags",
"HUGO AWARD"
],
[
"BACK TO THE FUTURE",
... |
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"
],
"valid_edges": [
[
"BLACKBALL",
"has_genre",
"COMEDY"
],
[
"FORBIDDEN CITY COP",
"directed_by",
"STEPHEN CHOW"
],
[
"FORBIDDEN CITY COP",
"has_genre",
"COMEDY"
],
[
"FORBI... |
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"
],
"valid_edges": [
[
"BRAIN DRAIN",
"in_language",
"SPANISH"
],
[
"CALLE 54",
"has_genre",
"DOCUMENTARY"
],
[
"CALLE 54",
"in_language",
"SPANISH"
],
[
"DEBTOCRACY",
"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": [
"CHAW MANK",
"FANTASY"
],
"valid_edges": [
[
"JABBERWOCKY",
"has_genre",
"FANTASY"
],
[
"JABBERWOCKY",
"release_year",
"1977"
],
[
"THE BROTHERS LIONHEART",
"has_genre",
"FANTASY"
],
[
"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"
],
"valid_edges": [
[
"BIG FISH",
"has_genre",
"FANTASY"
],
[
"BIG FISH",
"has_tags",
"FANTASY"
],
[
"BIG FISH",
"release_year",
"2003"
],
[
"CHANDU THE MAGICIAN",
... |
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"
],
"valid_edges": [
[
"THE BAD SEED",
"has_tags",
"MURDER"
],
[
"THE BAD SEED",
"release_year",
"1956"
],
[
"THE GREAT LOCOMOTIVE CHASE",
"release_year",
"1956"
],
[
... |
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"
],
"valid_edges": [
[
"BE KIND REWIND",
"has_genre",
"DRAMA"
],
[
"BE KIND REWIND",
"has_tags",
"VHS"
],
[
"KHRUSTALYOV, MY CAR!",
"has_genre",
"DRAMA"
],
[
"KHRUSTALYOV, MY ... |
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"
],
"valid_edges": [
[
"DOSSIER 51",
"directed_by",
"MICHEL DEVILLE"
],
[
"DOSSIER 51",
"has_tags",
"MICHEL DEVILLE"
],
[
"DOSSIER 51",
"in_language",
"FRENCH"
],
[
"D... |
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"
],
"valid_edges": [
[
"GORILLA AT LARGE",
"starred_actors",
"ANNE BANCROFT"
],
[
"IDENTIFICATION OF A WOMAN",
"release_year",
"1982"
],
[
"THE ELEPHANT MAN",
"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": [
"17 AGAIN",
"ANTHONY BELL"
],
"valid_edges": [
[
"17 AGAIN",
"has_tags",
"HIGH SCHOOL"
],
[
"ALPHA AND OMEGA",
"directed_by",
"ANTHONY BELL"
],
[
"ALPHA AND OMEGA",
"release_year",
"2010"
],
[
"HIGH SCH... |
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"
],
"valid_edges": [
[
"A CIRCLE OF DECEPTION",
"has_genre",
"WAR"
],
[
"A CIRCLE OF DECEPTION",
"starred_actors",
"HARRY ANDREWS"
],
[
"PLAY DIRTY",
"has_genre",
"WAR"
],
[
... |
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!"
],
"valid_edges": [
[
"CLASS",
"has_genre",
"COMEDY"
],
[
"KIN-DZA-DZA!",
"has_genre",
"COMEDY"
]
],
"ground_truth": [],
"gt_cost": null
} |
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"
],
"valid_edges": [
[
"BITE THE BULLET",
"has_tags",
"BD-R"
],
[
"BITE THE BULLET",
"release_year",
"1975"
],
[
"DOG DAY AFTERNOON",
"has_tags",
"BD-R"
],
[
"DOG DAY AFT... |
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"
],
"valid_edges": [
[
"1981",
"in_language",
"FRENCH"
],
[
"BABIES",
"has_tags",
"BABIES"
],
[
"BABIES",
"has_tags",
"FRENCH"
],
[
"BABIES",
"starred_actors",
"BAYAR"
... |
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"
],
"valid_edges": [
[
"A CHORUS LINE",
"has_genre",
"MUSIC"
],
[
"A CHORUS LINE",
"has_genre",
"MUSICAL"
],
[
"A HARD DAY'S NIGHT",
"has_genre",
"MUSIC"
],
[
"A HARD DAY'S NI... |
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"
],
"valid_edges": [
[
"ANNIE",
"has_tags",
"MUSICAL"
],
[
"ANNIE",
"release_year",
"2014"
],
[
"BEAUTY AND THE BEAST",
"has_tags",
"MUSICAL"
],
[
"BEAUTY AND THE BEAST",
"relea... |
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"
],
"valid_edges": [
[
"I MARRIED A WITCH",
"has_genre",
"COMEDY"
],
[
"I MARRIED A WITCH",
"has_tags",
"VERONICA LAKE"
],
[
"I MARRIED A WITCH",
"starred_actors",
"VERONICA LAKE"
... |
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"
],
"valid_edges": [
[
"NOW AND THEN",
"directed_by",
"LESLI LINKA GLATTER"
],
[
"NOW AND THEN",
"has_genre",
"DRAMA"
],
[
"WASHINGTON SQUARE",
"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"
],
"valid_edges": [
[
"100 GIRLS",
"has_genre",
"COMEDY"
],
[
"100 GIRLS",
"release_year",
"2000"
],
[
"102 DALMATIANS",
"has_genre",
"COMEDY"
],
[
"102 DALMATIANS",
"release_yea... |
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"
],
"valid_edges": [
[
"I DON'T WANT TO GO BACK ALONE",
"has_genre",
"SHORT"
],
[
"I DON'T WANT TO GO BACK ALONE",
"has_tags",
"SHORT"
],
[
"I DON'T WANT TO GO BACK ALONE",
"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": [
"HAYDEN HERRERA",
"PHILLIP SCHNEIDER"
],
"valid_edges": [
[
"FRIDA",
"release_year",
"2002"
],
[
"FRIDA",
"written_by",
"HAYDEN HERRERA"
],
[
"SWIMFAN",
"release_year",
"2002"
],
[
"SWIMFAN",
"wri... |
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"
],
"valid_edges": [
[
"DAMES",
"starred_actors",
"DICK POWELL"
],
[
"FLOATING CLOUDS",
"in_language",
"JAPANESE"
],
[
"PITFALL",
"in_language",
"JAPANESE"
],
[
"PITFALL",
... |
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"
],
"valid_edges": [
[
"BLACK",
"has_genre",
"DRAMA"
],
[
"CYRANO DE BERGERAC",
"has_tags",
"BD-R"
],
[
"CYRANO DE BERGERAC",
"has_tags",
"FRENCH"
],
[
"CYRANO ... |
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"
],
"valid_edges": [
[
"BEAUTIFUL KATE",
"release_year",
"2009"
],
[
"BEAUTIFUL KATE",
"written_by",
"NEWTON THORNBURG"
],
[
"EASTERN PLAYS",
"in_language",
"BULGARIAN"
],
[
... |
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"
],
"valid_edges": [
[
"GRILL POINT",
"directed_by",
"ANDREAS DRESEN"
],
[
"GRILL POINT",
"has_genre",
"DRAMA"
],
[
"GRILL POINT",
"in_language",
"GERMAN"
],
[
"GRILL POIN... |
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"
],
"valid_edges": [
[
"CLOUDY WITH A CHANCE OF MEATBALLS 2",
"has_genre",
"COMEDY"
],
[
"CLOUDY WITH A CHANCE OF MEATBALLS 2",
"written_by",
"ERICA RIVINOJA"
],
[
"THE GIRL CAN'T HELP IT",
"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": [
"HOUSE OF GAMES",
"THE ORDER"
],
"valid_edges": [
[
"BLACK WIDOW",
"has_genre",
"MYSTERY"
],
[
"BLACK WIDOW",
"release_year",
"1987"
],
[
"GONE BABY GONE",
"has_genre",
"MYSTERY"
],
[
"GONE BABY GONE",
... |
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"
],
"valid_edges": [
[
"1981",
"has_genre",
"COMEDY"
],
[
"A THOUSAND WORDS",
"has_genre",
"COMEDY"
],
[
"A THOUSAND WORDS",
"release_year",
"2012"
],
[
"ACE ATTORNEY",
"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": [
"PARISIAN LOVE",
"SAINT JOAN"
],
"valid_edges": [
[
"GO WEST",
"has_tags",
"BD-R"
],
[
"GO WEST",
"release_year",
"1925"
],
[
"PARISIAN LOVE",
"has_tags",
"CLARA BOW"
],
[
"PARISIAN LOVE",
"releas... |
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"
],
"valid_edges": [
[
"DESPERATELY SEEKING SUSAN",
"has_tags",
"MADONNA"
],
[
"DESPERATELY SEEKING SUSAN",
"release_year",
"1985"
],
[
"DESPERATELY SEEKING SUSAN",
"starred_ac... |
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"
],
"valid_edges": [
[
"GERONIMO",
"release_year",
"1962"
],
[
"GHOST",
"has_genre",
"FANTASY"
],
[
"GHOST",
"has_tags",
"FANTASY"
],
[
"JACK THE GIANT KILLER",
"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"
],
"valid_edges": [
[
"ARE WE DONE YET?",
"starred_actors",
"ICE CUBE"
],
[
"SHOOTER",
"has_tags",
"MARK WAHLBERG"
],
[
"SHOOTER",
"starred_actors",
"MARK WAHLBERG"
],
[
"T... |
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"
],
"valid_edges": [
[
"GOD IS GREAT AND I'M NOT",
"has_genre",
"COMEDY"
],
[
"GOD IS GREAT AND I'M NOT",
"starred_actors",
"EDOUARD BAER"
],
[
"LOVE AND OTHER TROUBLES",
"directed_by",
... |
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"
],
"valid_edges": [
[
"A WOMAN'S SECRET",
"directed_by",
"NICHOLAS RAY"
],
[
"A WOMAN'S SECRET",
"starred_actors",
"GLORIA GRAHAME"
],
[
"DIAL 1119",
"release_year",
"1950"
],
[
... |
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"
],
"valid_edges": [
[
"CRANK",
"has_genre",
"ACTION"
],
[
"CRANK",
"has_tags",
"ACTION"
],
[
"CRANK",
"release_year",
"2006"
],
[
"FORCE 10 FROM NAVARONE",
"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": [
"FAR FROM HEAVEN",
"THE MANGLER"
],
"valid_edges": [
[
"CARRIE",
"has_tags",
"STEPHEN KING"
],
[
"CARRIE",
"starred_actors",
"JULIANNE MOORE"
],
[
"CARRIE",
"written_by",
"STEPHEN KING"
],
[
"FAR FROM 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": [
"GEORGE TYNE",
"THE KING'S SPEECH"
],
"valid_edges": [
[
"300",
"has_genre",
"WAR"
],
[
"300",
"has_tags",
"HISTORICAL"
],
[
"300",
"has_tags",
"KING"
],
[
"300",
"has_tags",
"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": [
"MICKEY LIDDELL",
"PHILOSOPHY"
],
"valid_edges": [
[
"EXAMINED LIFE",
"has_tags",
"PHILOSOPHY"
],
[
"EXAMINED LIFE",
"release_year",
"2008"
],
[
"THE HAUNTING OF MOLLY HARTLEY",
"directed_by",
"MICKEY LIDDELL"
],... |
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"
],
"valid_edges": [
[
"HARD RAIN",
"release_year",
"1998"
],
[
"HARD RAIN",
"starred_actors",
"MINNIE DRIVER"
],
[
"LA CUCARACHA",
"release_year",
"1998"
],
[
"LA C... |
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"
],
"valid_edges": [
[
"BLITZ",
"has_genre",
"CRIME"
],
[
"BLITZ",
"release_year",
"2011"
],
[
"BULLY",
"has_genre",
"CRIME"
],
[
"BULLY",
"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": [
"ALEXANDER PAAL",
"SHADOW OF THE VAMPIRE"
],
"valid_edges": [
[
"30 DAYS OF NIGHT",
"has_genre",
"HORROR"
],
[
"30 DAYS OF NIGHT",
"has_tags",
"VAMPIRE"
],
[
"ANATOMY",
"has_genre",
"HORROR"
],
[
"ANATO... |
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"
],
"valid_edges": [
[
"AUSTRALIA",
"has_tags",
"AUSTRALIA"
],
[
"CANDY",
"has_tags",
"AUSTRALIA"
],
[
"CANDY",
"release_year",
"2006"
],
[
"HOW TO EAT FRIED WORMS",
"rele... |
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