The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: Couldn't cast array of type
struct<node_list: list<item: string>, edge_list: list<item: list<item: string>>, target_node: int64>
to
{'node_list': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'edge_list': Sequence(feature=Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), length=-1, id=None)}
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2261, in cast_table_to_schema
arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2261, in <listcomp>
arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1802, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1802, in <listcomp>
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2122, in cast_array_to_feature
raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
TypeError: Couldn't cast array of type
struct<node_list: list<item: string>, edge_list: list<item: list<item: string>>, target_node: int64>
to
{'node_list': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'edge_list': Sequence(feature=Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), length=-1, id=None)}
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1524, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1099, in stream_convert_to_parquet
builder._prepare_split(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2038, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
task_name string | idx int64 | instruction string | graph_language string | graph dict | answer sequence | answer_with_cot sequence | difficulty string | from string |
|---|---|---|---|---|---|---|---|---|
graph-language-modeling-graph-question-answering-webquestions | 0 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are... | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Grinch', 'Tracker #1', 'Johannes', 'Jake Martin', 'Ralgha nar Hhallas', 'Male', 'Alvin Bahe', 'Boss Keung', 'Pepe', 'Sloan', 'Captain Jacob Keyes', 'Michael Van Patrick', 'Growing Man', 'Sōhaku Kago', 'John Wydell', 'Yardley', 'Baxter', 'Sree Narayana Guru... | {
"node_list": [
"Grinch",
"Tracker #1",
"Johannes",
"Jake Martin",
"Ralgha nar Hhallas",
"Male",
"Alvin Bahe",
"Boss Keung",
"Pepe",
"Sloan",
"Captain Jacob Keyes",
"Michael Van Patrick",
"Growing Man",
"Sōhaku Kago",
"John Wydell",
"Yardley",
"Baxt... | [
"I cannot answer the question directly. However, based on the world knowledge, the correct answer to the question is \"Jaxon Bieber\""
] | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 2 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are... | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Mayaguana', 'Hurricane Lili', 'Central Andros', 'English Language', '1948 Miami hurricane', 'Marina Moore', 'Marsh Harbour', 'Tropical Storm Tammy', 'Henry Milton Taylor', 'Bahamas', '1919 Florida Keys hurricane', 'San Salvador and Rum Cay', 'Gale of 1878'... | {
"node_list": [
"Mayaguana",
"Hurricane Lili",
"Central Andros",
"English Language",
"1948 Miami hurricane",
"Marina Moore",
"Marsh Harbour",
"Tropical Storm Tammy",
"Henry Milton Taylor",
"Bahamas",
"1919 Florida Keys hurricane",
"San Salvador and Rum Cay",
"Gale ... | [
"Based on the graph, we can find a reasoning path ('Grand Bahama', 'containedby', 'Bahamas'), so the answer entity is \"Bahamas\""
] | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 4 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are... | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Benny the Bull', '1996 NBA Finals', 'Chicago Bulls', 'New York City', 'Basketball player', 'Jerry Reinsdorf', '1993 NBA Finals', 'Yannick Noah', 'Red', 'France', 'African American', 'Basketball', 'Chicago', '1991 NBA Finals', 'Central Division', '1992 NBA ... | {
"node_list": [
"Benny the Bull",
"1996 NBA Finals",
"Chicago Bulls",
"New York City",
"Basketball player",
"Jerry Reinsdorf",
"1993 NBA Finals",
"Yannick Noah",
"Red",
"France",
"African American",
"Basketball",
"Chicago",
"1991 NBA Finals",
"Central Divis... | [
"I cannot answer the question directly. However, based on the world knowledge, the correct answer to the question is \"Chicago Bulls\""
] | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 5 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are... | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Harry Potter and the Goblet of Fire', 'Draco Malfoy', 'Hogwarts School of Witchcraft and Wizardry', 'Elder Wand', 'J. K. Rowling', 'Male', 'Female', 'Harry Potter', 'Harry Potter and the Chamber of Secrets', 'Death Eaters', 'Occlumency', "Harry Potter and ... | {
"node_list": [
"Harry Potter and the Goblet of Fire",
"Draco Malfoy",
"Hogwarts School of Witchcraft and Wizardry",
"Elder Wand",
"J. K. Rowling",
"Male",
"Female",
"Harry Potter",
"Harry Potter and the Chamber of Secrets",
"Death Eaters",
"Occlumency",
"Harry Potter ... | [
"I cannot answer the question directly. However, based on the world knowledge, the correct answer to the question is \"Astoria Greengrass\""
] | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 6 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are... | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Tuglie', 'Pietransieri', 'Falerna', 'Sal Sparace', 'Scream of the Demon Lover', 'Cadorago', '2014 Supercoppa Italiana', 'La prise de pouvoir par Louis XIV', 'Rebibbia', 'San Benedetto Po', 'Luca Angeletti', 'Tony Terlazzo', 'Milko Skofic Jr.', "Deformation... | {
"node_list": [
"Tuglie",
"Pietransieri",
"Falerna",
"Sal Sparace",
"Scream of the Demon Lover",
"Cadorago",
"2014 Supercoppa Italiana",
"La prise de pouvoir par Louis XIV",
"Rebibbia",
"San Benedetto Po",
"Luca Angeletti",
"Tony Terlazzo",
"Milko Skofic Jr.",
... | [
"Based on the graph, we can find a reasoning path ('Lazio', 'administrative parent', 'Italy'), so the answer entity is \"Province of Rome\"",
"Based on the graph, we can find a reasoning path ('Lazio', 'administrative parent', 'Italy'), so the answer entity is \"Italy\"",
"Based on the graph, we can find a reas... | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 8 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are... | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Garuda Wisnu Kencana', 'Eat Pray Love', 'Mount Batur', 'Tanah Lot', 'Denpasar', 'No frills', "In God's Hands", 'Indonesia', 'Battle of Badung Strait', 'Bali', 'Time zone(s)', 'Padangbai', 'Klungkung Regency', 'Population', 'Tampaksiring', 'Buleleng Regency... | {
"node_list": [
"Garuda Wisnu Kencana",
"Eat Pray Love",
"Mount Batur",
"Tanah Lot",
"Denpasar",
"No frills",
"In God's Hands",
"Indonesia",
"Battle of Badung Strait",
"Bali",
"Time zone(s)",
"Padangbai",
"Klungkung Regency",
"Population",
"Tampaksiring",
... | [
"Based on the world knowledge, the correct answer to the question is \"Ngurah Rai Airport\", but the answer is not existing in the graph."
] | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 10 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are... | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Yavapai County', 'Area code 928', 'The Karate Kid', 'Harry and Tonto', 'American Anthem', 'Arizona', 'Coconino County', 'Stay Away, Joe', 'Sedona', 'Mountain Time Zone', 'Rounders', 'What Planet Are You From?', 'United States of America', 'Taylor Cabin Lin... | {
"node_list": [
"Yavapai County",
"Area code 928",
"The Karate Kid",
"Harry and Tonto",
"American Anthem",
"Arizona",
"Coconino County",
"Stay Away, Joe",
"Sedona",
"Mountain Time Zone",
"Rounders",
"What Planet Are You From?",
"United States of America",
"Tayl... | [
"I cannot answer the question directly. However, based on the world knowledge, the correct answer to the question is \"Cathedral Rock\"",
"I cannot answer the question directly. However, based on the world knowledge, the correct answer to the question is \"Sycamore Canyon\"",
"I cannot answer the question direc... | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 11 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are... | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Markovo, Chukotka Autonomous Okrug', 'The Degaev Affair: Terror and Treason in Tsarist Russia', 'Ulyanovsk State Technical University', 'My house', 'Klyuchi', 'Prokhorovka, Belgorod Oblast', 'Poklonnaya Hill', 'Monument to Peter I', 'Millennium of Russia',... | {
"node_list": [
"Markovo, Chukotka Autonomous Okrug",
"The Degaev Affair: Terror and Treason in Tsarist Russia",
"Ulyanovsk State Technical University",
"My house",
"Klyuchi",
"Prokhorovka, Belgorod Oblast",
"Poklonnaya Hill",
"Monument to Peter I",
"Millennium of Russia",
"Ki... | [
"Based on the world knowledge, the correct answer to the question is \"Federal republic\", but the answer is not existing in the graph.",
"Based on the world knowledge, the correct answer to the question is \"Semi-presidential system\", but the answer is not existing in the graph.",
"Based on the world knowledg... | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 12 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are... | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Field of Dreams 2: Lockout', 'Drama', 'Port Coquitlam', 'Cinematography', 'Garrett Grant', 'English Language', 'Eclipse', 'Film Series', 'British Columbia', 'Tracers', 'The Twilight Saga: New Moon', 'Taylor Lautner', 'Story by', 'Bill Condon', 'Abduction',... | {
"node_list": [
"Field of Dreams 2: Lockout",
"Drama",
"Port Coquitlam",
"Cinematography",
"Garrett Grant",
"English Language",
"Eclipse",
"Film Series",
"British Columbia",
"Tracers",
"The Twilight Saga: New Moon",
"Taylor Lautner",
"Story by",
"Bill Condon",
... | [
"Based on the graph, we can find a reasoning path ('The Twilight Saga: Breaking Dawn - Part 1', 'sequel', 'The Twilight Saga: Breaking Dawn - Part 2'), so the answer entity is \"Valentine's Day\"",
"Based on the graph, we can find a reasoning path ('The Twilight Saga: Breaking Dawn - Part 1', 'sequel', 'The Twili... | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 13 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are... | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['National Basketball Association Awards', 'head shot of Kareem Abdul Jabbar', 'Male', 'Small forward', 'Intro', 'Weight', 'Basketball player', 'Wilt Chamberlain2', 'National Basketball Association', 'Place of birth', 'Power forward', 'Outro', 'Shooting Star... | {
"node_list": [
"National Basketball Association Awards",
"head shot of Kareem Abdul Jabbar",
"Male",
"Small forward",
"Intro",
"Weight",
"Basketball player",
"Wilt Chamberlain2",
"National Basketball Association",
"Place of birth",
"Power forward",
"Outro",
"Shoot... | [
"I cannot answer the question directly. However, based on the world knowledge, the correct answer to the question is \"2003–04 NBA season\""
] | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 15 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are... | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Professor Inga Bergstrom', 'Fio Piccolo', 'Dasani', 'Judy Witwicky', 'Sawako Kuronuma', 'Melinda Halliwell', 'Female', 'Selina Branning', 'Tuija Haavisto', 'Lindesfarne Dewclaw', 'Emma Wheeler', 'Callie Jacob', 'Julietta Sommer', 'TV Stewardess', 'Luca', '... | {
"node_list": [
"Professor Inga Bergstrom",
"Fio Piccolo",
"Dasani",
"Judy Witwicky",
"Sawako Kuronuma",
"Melinda Halliwell",
"Female",
"Selina Branning",
"Tuija Haavisto",
"Lindesfarne Dewclaw",
"Emma Wheeler",
"Callie Jacob",
"Julietta Sommer",
"TV Stewardess... | [
"Based on the world knowledge, the correct answer to the question is \"Hagar\", but the answer is not existing in the graph."
] | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 16 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are... | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Bernard Lafayette', 'Assassination', 'Elisabeth Omilami', 'New York City', 'No Sell Out (vocal)', 'Bobby Seale', 'Rosa Parks', 'Abbie Hoffman', 'Alfred Daniel Williams King', 'Earl Little', "African Americans' rights", 'Frederick Vanderbilt Field', 'Charlt... | {
"node_list": [
"Bernard Lafayette",
"Assassination",
"Elisabeth Omilami",
"New York City",
"No Sell Out (vocal)",
"Bobby Seale",
"Rosa Parks",
"Abbie Hoffman",
"Alfred Daniel Williams King",
"Earl Little",
"African Americans' rights",
"Frederick Vanderbilt Field",
... | [
"Based on the graph, we can find a reasoning path ('Malcolm X', 'area of activism', 'Black Liberation'), so the answer entity is \"Black Liberation\"",
"Based on the graph, we can find a reasoning path ('Malcolm X', 'area of activism', 'Black Liberation'), so the answer entity is \"African Americans' rights\""
] | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 17 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are... | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Milton Brandão', 'Entre Folhas', 'Brejetuba', 'Viseu, Pará', 'Feliz Deserto', 'Teófilo Otoni', 'Boa Esperança do Iguaçu', 'Araújos', 'Cerro Corá', 'Maria Lacerda de Moura', 'President', 'Santa Cruz do Escalvado', 'Cantá', 'Brazil', 'Inimutaba', 'Vila Bela ... | {
"node_list": [
"Milton Brandão",
"Entre Folhas",
"Brejetuba",
"Viseu, Pará",
"Feliz Deserto",
"Teófilo Otoni",
"Boa Esperança do Iguaçu",
"Araújos",
"Cerro Corá",
"Maria Lacerda de Moura",
"President",
"Santa Cruz do Escalvado",
"Cantá",
"Brazil",
"Inimuta... | [
"I cannot answer the question directly. However, based on the world knowledge, the correct answer to the question is \"Dilma Rousseff\""
] | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 19 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are... | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Dr. Lawrence Angelo', 'The Elder Brother', 'Fabian', 'Archy Stallings', 'Old Man Willow', 'Edgar Derby', 'Male', 'Simon Phoenix', 'Brian Chavez', 'Matter-Eater Lad', 'Buddy Walling', 'Peter Hines', 'Zeus', 'Trevor West', 'Ogden Morrow', 'Aegeus', 'Ted', 'L... | {
"node_list": [
"Dr. Lawrence Angelo",
"The Elder Brother",
"Fabian",
"Archy Stallings",
"Old Man Willow",
"Edgar Derby",
"Male",
"Simon Phoenix",
"Brian Chavez",
"Matter-Eater Lad",
"Buddy Walling",
"Peter Hines",
"Zeus",
"Trevor West",
"Ogden Morrow",
... | [
"Based on the world knowledge, the correct answer to the question is \"Elijah Blue Allman\", but the answer is not existing in the graph."
] | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 22 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are... | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Dong-joon Choi', 'Emma Ware', 'Sadagoppan Ramesh', 'Tameka Cottle', 'Poet', 'Kelsey Edwards', 'William Shakespeare', 'Author', 'Tom Malloy', 'Cab Calloway', 'Emma Taylor-Isherwood', 'Dave Andrews', 'Siddarth Jadhav', 'Norman Finkelstein', 'Milan Rúfus', 'A... | {
"node_list": [
"Dong-joon Choi",
"Emma Ware",
"Sadagoppan Ramesh",
"Tameka Cottle",
"Poet",
"Kelsey Edwards",
"William Shakespeare",
"Author",
"Tom Malloy",
"Cab Calloway",
"Emma Taylor-Isherwood",
"Dave Andrews",
"Siddarth Jadhav",
"Norman Finkelstein",
"... | [
"Based on the graph, we can find a reasoning path ('William Shakespeare', 'profession', 'Author'), so the answer entity is \"Author\"",
"Based on the graph, we can find a reasoning path ('William Shakespeare', 'profession', 'Author'), so the answer entity is \"Lyricist\"",
"Based on the graph, we can find a rea... | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 24 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are... | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Polo Grounds II', 'National League', 'Orange', '2010 Major League Baseball season', 'Seals Stadium', 'Polo Grounds', 'San Francisco', 'New York Gothams', 'National League West', '2014 Major League Baseball season', 'San Francisco Giants', 'St. George Crick... | {
"node_list": [
"Polo Grounds II",
"National League",
"Orange",
"2010 Major League Baseball season",
"Seals Stadium",
"Polo Grounds",
"San Francisco",
"New York Gothams",
"National League West",
"2014 Major League Baseball season",
"San Francisco Giants",
"St. George C... | [
"Based on the graph, we can find a reasoning path ('San Francisco Giants', 'arena stadium', 'AT&T Park'), so the answer entity is \"AT&T Park\""
] | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 25 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are... | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Male', 'Kansas City', "People's Party", 'Politician', 'Democratic Party', 'Statesman', 'Date of death', 'Lawyer', 'Place of birth', 'Dayton', 'Presbyterianism', 'Ruth Bryan Owen', 'Bryan County', '1900 Democratic National Convention', 'Salem', 'Bryan Colle... | {
"node_list": [
"Male",
"Kansas City",
"People's Party",
"Politician",
"Democratic Party",
"Statesman",
"Date of death",
"Lawyer",
"Place of birth",
"Dayton",
"Presbyterianism",
"Ruth Bryan Owen",
"Bryan County",
"1900 Democratic National Convention",
"Sale... | [
"Based on the graph, we can find a reasoning path ('William Jennings Bryan', 'nominated at', '1900 Democratic National Convention'), so the answer entity is \"1900 Democratic National Convention\"",
"Based on the graph, we can find a reasoning path ('William Jennings Bryan', 'nominated at', '1900 Democratic Natio... | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 29 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are... | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['John Heawood', 'Federal University of Rio de Janeiro', 'Southeast University', 'Don McFarlane', 'Ahrn Palley', 'Lebret', 'Somerset', 'Laine Peters', 'South Africa', 'Ethelbert', 'Yanne Rego', 'João Bica', 'Pitt Lake', 'Rio Grande', 'Cutias', 'Universidade ... | {
"node_list": [
"John Heawood",
"Federal University of Rio de Janeiro",
"Southeast University",
"Don McFarlane",
"Ahrn Palley",
"Lebret",
"Somerset",
"Laine Peters",
"South Africa",
"Ethelbert",
"Yanne Rego",
"João Bica",
"Pitt Lake",
"Rio Grande",
"Cutias"... | [
"Based on the graph, we can find a reasoning path ('Macau', 'near travel destination', 'Macau'), so the answer entity is \"Cape Verde\"",
"Based on the graph, we can find a reasoning path ('Macau', 'near travel destination', 'Macau'), so the answer entity is \"Angola\"",
"Based on the graph, we can find a reaso... | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 30 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are... | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['English Language', 'Walt Disney Pictures', 'Disney Princess Sing-Along Songs: Enchanted Tea Party', 'Peter Pan', 'The Sword in the Stone', 'So Dear to My Heart', 'Disneyland', 'Zdeněk Miler', 'Fantasia', 'Three Little Wolves', 'The Pointer', "Santa's Works... | {
"node_list": [
"English Language",
"Walt Disney Pictures",
"Disney Princess Sing-Along Songs: Enchanted Tea Party",
"Peter Pan",
"The Sword in the Stone",
"So Dear to My Heart",
"Disneyland",
"Zdeněk Miler",
"Fantasia",
"Three Little Wolves",
"The Pointer",
"Santa's W... | [
"Based on the graph, we can find a reasoning path ('Walt Disney', 'children', 'Diane Disney Miller'), so the answer entity is \"Diane Disney Miller\"",
"Based on the graph, we can find a reasoning path ('Walt Disney', 'children', 'Diane Disney Miller'), so the answer entity is \"Sharon Mae Disney\""
] | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 31 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are... | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Gavin Rossdale', 'Secret Agent on Soma FM', 'KUFO', 'Punk rock', 'Male', 'Songwriter', 'Post-grunge', 'Kilburn, London', 'Dave Parsons', 'Newport, Wales', 'Violin', 'Sophie @ 103.7 KSCF', 'Bush', 'Nigel Pulsford', 'Actor', 'Breeding Dinosaurs', 'NetWavz Ra... | {
"node_list": [
"Gavin Rossdale",
"Secret Agent on Soma FM",
"KUFO",
"Punk rock",
"Male",
"Songwriter",
"Post-grunge",
"Kilburn, London",
"Dave Parsons",
"Newport, Wales",
"Violin",
"Sophie @ 103.7 KSCF",
"Bush",
"Nigel Pulsford",
"Actor",
"Breeding Din... | [
"I cannot answer the question directly. However, based on the world knowledge, the correct answer to the question is \"Nigel Pulsford\"",
"I cannot answer the question directly. However, based on the world knowledge, the correct answer to the question is \"Dave Parsons\"",
"I cannot answer the question directly... | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 34 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are... | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Gender', 'Maggie Grace', 'Country of nationality', 'Actor', 'Worthington', 'English Language', 'Valinn Everett', 'Date of birth', 'Siblings', 'Parents', 'Place of birth', 'Female', 'United States of America', 'Rick Denig'];
triple_list = [("Maggie Grac... | {
"node_list": [
"Gender",
"Maggie Grace",
"Country of nationality",
"Actor",
"Worthington",
"English Language",
"Valinn Everett",
"Date of birth",
"Siblings",
"Parents",
"Place of birth",
"Female",
"United States of America",
"Rick Denig"
],
"edge_list": [
... | [
"I cannot answer the question directly. However, based on the world knowledge, the correct answer to the question is \"Kim\""
] | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 36 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are... | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Philadelphia', 'Presenter', 'English Language', 'Donna Lawrence', 'Male', 'Record producer', 'Singer-songwriter', 'Joey Lawrence', 'Place of birth', 'Actor', 'Joseph Lawrence, Sr.', 'Date of birth', 'Official website', 'Pop music', 'United States of Americ... | {
"node_list": [
"Philadelphia",
"Presenter",
"English Language",
"Donna Lawrence",
"Male",
"Record producer",
"Singer-songwriter",
"Joey Lawrence",
"Place of birth",
"Actor",
"Joseph Lawrence, Sr.",
"Date of birth",
"Official website",
"Pop music",
"United ... | [
"I cannot answer the question directly. However, based on the world knowledge, the correct answer to the question is \"Melissa & Joey\"",
"I cannot answer the question directly. However, based on the world knowledge, the correct answer to the question is \"Bow\"",
"I cannot answer the question directly. However... | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 39 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are... | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Kingdom of Aragon', 'Mercia', 'Denmark', 'New France', 'Spain', 'Sparta', 'Grand Duchy of Saxe-Weimar-Eisenach', 'Denmark–Norway', 'Hunnic Empire', 'Kingdom of Northumbria', 'Andorra', 'Luxembourg', 'Alo', 'Monarchy', 'Sigavé', 'Agis II', 'Sparta should be... | {
"node_list": [
"Kingdom of Aragon",
"Mercia",
"Denmark",
"New France",
"Spain",
"Sparta",
"Grand Duchy of Saxe-Weimar-Eisenach",
"Denmark–Norway",
"Hunnic Empire",
"Kingdom of Northumbria",
"Andorra",
"Luxembourg",
"Alo",
"Monarchy",
"Sigavé",
"Agis II... | [
"Based on the graph, we can find a reasoning path ('Sparta', 'form of government', 'Monarchy'), so the answer entity is \"Aristocracy\"",
"Based on the graph, we can find a reasoning path ('Sparta', 'form of government', 'Monarchy'), so the answer entity is \"Monarchy\"",
"Based on the graph, we can find a reas... | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 40 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are... | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Jonathan Benson', 'E. C. Bentley', 'Larry Burrows', 'Westminster Abbey', 'Henry Vollam Morton', 'Eddie Thompson', 'Phil Manzanera', 'John C. Clifton', 'Alfred Shaughnessy', 'Alan Chivers', 'Nicola Ransom', 'Tommy Ord', 'Maurice Cowling', 'Benjamin Walker',... | {
"node_list": [
"Jonathan Benson",
"E. C. Bentley",
"Larry Burrows",
"Westminster Abbey",
"Henry Vollam Morton",
"Eddie Thompson",
"Phil Manzanera",
"John C. Clifton",
"Alfred Shaughnessy",
"Alan Chivers",
"Nicola Ransom",
"Tommy Ord",
"Maurice Cowling",
"Benja... | [
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Leighton House Museum\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Chessington World of Adventu... | [] | medium | WebQuestions |
End of preview.