triple1 list | triple2 list | triple3 list | triple1_labels list | triple2_labels list | triple3_labels list | description string | keep_triple bool | query_prompt string | query string | entity_a string | entity_b string | rel_b string | index int64 | prompt string | path_prediction list | prompt_for_path list | usage list | raw_path_prediction list | source_path list | parsed_paths string | reasoning_paths list | reasoning_0 string | paths_0 string | factuality_scores_0 list | raw_responses_factuality_0 list | parsed_scores_factuality_0 list | raw_salience_scores_0 list | min_salience_scores_0 list | salience_raw_responses_0 list | validity_per_path_0 list | validity_reasons_0 list | avg_path_length_0 float64 | num_paths_0 float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
"Q1352656",
"P166",
"Q935843"
] | [
"Q356715",
"P166",
"Q935843"
] | [
"Q356715",
"P358",
"Q100871850"
] | [
"Morton Gould",
"award received",
"Grammy Lifetime Achievement Award"
] | [
"Benny Carter",
"award received",
"Grammy Lifetime Achievement Award"
] | [
"Benny Carter",
"discography",
"Benny Carter discography"
] | Q935843__P166 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting Morton Gould, the American composer and conductor, and someone who has a notable discography in the music industry? | Morton Gould | Benny Carter discography | discography | 0 | Query: What are different ways of connecting Morton Gould, the American composer and conductor, and someone who has a notable discography in the music industry?
Task: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of factual triples... | [
"<answer>\n{\n \"1\": [\n [\"Morton Gould\", \"president of\", \"ASCAP\"],\n [\"ASCAP\", \"has member\", \"Benny Carter\"],\n [\"Benny Carter\", \"discography\", \"Benny Carter discography\"]\n ],\n \"2\": [\n [\"Morton Gould\", \"born in\", \"New York City\"],\n [\"New York City\", \"birthplace... | [
"Query: What are different ways of connecting Morton Gould, the American composer and conductor, and someone who has a notable discography in the music industry?\n\nTask: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of factual ... | [] | [
"<answer>\n{\n \"1\": [\n [\"Morton Gould\", \"president of\", \"ASCAP\"],\n [\"ASCAP\", \"has member\", \"Benny Carter\"],\n [\"Benny Carter\", \"discography\", \"Benny Carter discography\"]\n ],\n \"2\": [\n [\"Morton Gould\", \"born in\", \"New York City\"],\n [\"New York City\", \"birthplace... | [
[
"Morton Gould",
"award received",
"Grammy Lifetime Achievement Award"
],
[
"Benny Carter",
"award received",
"Grammy Lifetime Achievement Award"
],
[
"Benny Carter",
"discography",
"Benny Carter discography"
]
] | [[[["morton gould", "president of", "ascap"], ["ascap", "has member", "benny carter"], ["benny carter", "discography", "benny carter discography"]], [["morton gould", "born in", "new york city"], ["new york city", "birthplace of", "benny carter"], ["benny carter", "discography", "benny carter discography"]], [["morton ... | [
null
] | [] | [[["morton gould", "president of", "ascap"], ["ascap", "has member", "benny carter"], ["benny carter", "discography", "benny carter discography"]], [["morton gould", "born in", "new york city"], ["new york city", "birthplace of", "benny carter"], ["benny carter", "discography", "benny carter discography"]], [["morton g... | [
1,
0,
1,
1,
0,
1,
0,
1,
0,
0
] | [
"{\n \"explanation\": \"The first triple correctly links the real composer Morton Gould to the real organization ASCAP, noting his well‑documented tenure as president. The second triple connects ASCAP to the real jazz musician Benny Carter; Carter was indeed a member of ASCAP, making the relationship plausible and... | [
[
1,
1,
1
],
[
1,
1,
0
],
[
1,
1,
1,
1
],
[
1,
1,
1,
1
],
[
1,
1,
1,
0
],
[
1,
1,
1
],
[
1,
1,
0
],
[
1,
1,
1
],
[
1,
1,
0
],
[
1,
1,
0
]
] | [
[
4,
1,
5
],
[
1,
1,
5
],
[
1,
3,
1,
5
],
[
1,
4,
3,
5
],
[
2,
4,
3,
5
],
[
3,
3,
5
],
[
1,
1,
5
],
[
1,
1,
5
],
[
1,
1,
5
],
[
4,
4,
5
]
] | [
1,
1,
1,
1,
2,
3,
1,
1,
1,
4
] | [
"[\n {\n \"explanation\": \"Class A (subject‑variation) asks for all people who have been president of ASCAP. ASCAP was founded in 1914 and has changed presidents roughly every few years, giving about 15‑20 individuals; I estimate 20. Class B (object‑variation) asks for all organizations of which Morton Gould w... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
"",
"",
"",
"",
"",
"",
"",
"",
"",
""
] | 3.3 | 10 |
[
"Q57067",
"P166",
"Q38104"
] | [
"Q131729",
"P166",
"Q38104"
] | [
"Q131729",
"P106",
"Q593644"
] | [
"Max von Laue",
"award received",
"Nobel Prize in Physics"
] | [
"William Lawrence Bragg",
"award received",
"Nobel Prize in Physics"
] | [
"William Lawrence Bragg",
"occupation",
"chemist"
] | Q38104__P166 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting Max von Laue, the physicist known for his work in X-ray diffraction, and someone who is recognized for their contributions as a chemist? | Max von Laue | chemist | occupation | 1 | Query: What are different ways of connecting Max von Laue, the physicist known for his work in X-ray diffraction, and someone who is recognized for their contributions as a chemist?
Task: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequen... | [
"<answer>{\n \"1\": [\n [\"Max von Laue\", \"employer\", \"Ludwig Maximilian University of Munich\"],\n [\"Ludwig Maximilian University of Munich\", \"employed\", \"Arnold Sommerfeld\"],\n [\"Arnold Sommerfeld\", \"doctoral student\", \"Peter Debye\"],\n [\"Peter Debye\", \"occupation\", \"chemist\"]\n... | [
"Query: What are different ways of connecting Max von Laue, the physicist known for his work in X-ray diffraction, and someone who is recognized for their contributions as a chemist?\n\nTask: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a... | [] | [
"<answer>{\n \"1\": [\n [\"Max von Laue\", \"employer\", \"Ludwig Maximilian University of Munich\"],\n [\"Ludwig Maximilian University of Munich\", \"employed\", \"Arnold Sommerfeld\"],\n [\"Arnold Sommerfeld\", \"doctoral student\", \"Peter Debye\"],\n [\"Peter Debye\", \"occupation\", \"chemist\"]\n... | [
[
"Max von Laue",
"award received",
"Nobel Prize in Physics"
],
[
"William Lawrence Bragg",
"award received",
"Nobel Prize in Physics"
],
[
"William Lawrence Bragg",
"occupation",
"chemist"
]
] | [[[["max von laue", "employer", "ludwig maximilian university of munich"], ["ludwig maximilian university of munich", "employed", "arnold sommerfeld"], ["arnold sommerfeld", "doctoral student", "peter debye"], ["peter debye", "occupation", "chemist"]], [["max von laue", "member of", "prussian academy of sciences"], ["p... | [
null
] | [] | [[["max von laue", "employer", "ludwig maximilian university of munich"], ["ludwig maximilian university of munich", "employed", "arnold sommerfeld"], ["arnold sommerfeld", "doctoral student", "peter debye"], ["peter debye", "occupation", "chemist"]], [["max von laue", "member of", "prussian academy of sciences"], ["pr... | [
1,
1,
1,
0,
1,
1,
1,
0,
1,
0
] | [
"{\n \"explanation\": \"All four triples involve real, identifiable entities and describe relationships that are historically accurate or plausibly valid. Max von Laue was a professor at Ludwig Maximilian University of Munich, which makes the employer relationship correct. The university employed Arnold Sommerfeld... | [
[
1,
1,
1,
1
],
[
1,
1,
1
],
[
1,
1,
1
],
[
0,
1,
1,
1
],
[
1,
1,
1
],
[
1,
1,
1,
1
],
[
1,
1,
1
],
[
0,
0,
1
],
[
1,
1,
1
],
[
1,
0,
0,
1,
... | [
[
1,
1,
4,
1
],
[
2,
2,
1
],
[
3,
3,
1
],
[
4,
1,
1,
1
],
[
3,
3,
1
],
[
4,
4,
5,
1
],
[
1,
1,
1
],
[
1,
1,
1
],
[
1,
1,
1
],
[
3,
5,
5,
3,
... | [
1,
2,
3,
1,
3,
4,
1,
1,
1,
3
] | [
"[\n {\n \"explanation\": \"Class A (subjects that have LMU as their employer) includes all people employed by Ludwig Maximilian University of Munich – roughly tens of thousands of faculty, researchers and staff, so I estimate about 30000 members. Class B (employers of Max von Laue) is limited to the few instit... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
"",
"",
"",
"",
"",
"",
"",
"",
"",
""
] | 3.5 | 10 |
[
"Q2085",
"P161",
"Q164328"
] | [
"Q2085",
"P161",
"Q174263"
] | [
"Q174263",
"P19",
"Q268873"
] | [
"Twin Peaks",
"cast member",
"David Koechner"
] | [
"Twin Peaks",
"cast member",
"Rodney Rowland"
] | [
"Rodney Rowland",
"place of birth",
"Newport Beach"
] | Q2085__P161 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting David Koechner, the American actor and comedian, and someone who was born in Newport Beach? | David Koechner | Newport Beach | place of birth | 2 | Query: What are different ways of connecting David Koechner, the American actor and comedian, and someone who was born in Newport Beach?
Task: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of factual triples (head, relationship, ta... | [
""
] | [
"Query: What are different ways of connecting David Koechner, the American actor and comedian, and someone who was born in Newport Beach?\n\nTask: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of factual triples (head, relations... | [] | [] | [
[
"Twin Peaks",
"cast member",
"David Koechner"
],
[
"Twin Peaks",
"cast member",
"Rodney Rowland"
],
[
"Rodney Rowland",
"place of birth",
"Newport Beach"
]
] | [] | [] | [] | [] | [
1
] | [
"Hello! How can I assist you today?"
] | [
[]
] | [
[]
] | [
0
] | [
"Hello! How can I assist you today?"
] | [
0
] | [
""
] | 0 | 0 |
[
"Q18037479",
"P2293",
"Q11081"
] | [
"Q18053558",
"P2293",
"Q11081"
] | [
"Q18053558",
"P2548",
"Q22809711"
] | [
"CD2AP",
"genetic association",
"Alzheimer's disease"
] | [
"ATXN7L1",
"genetic association",
"Alzheimer's disease"
] | [
"ATXN7L1",
"strand orientation",
"reverse strand"
] | Q11081__P2293 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting CD2AP, a protein involved in cellular processes, and a substance that has a reverse strand orientation? | CD2AP | reverse strand | strand orientation | 3 | Query: What are different ways of connecting CD2AP, a protein involved in cellular processes, and a substance that has a reverse strand orientation?
Task: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of factual triples (head, rela... | [
"<answer>\n{\n \"1\": [\n [\"CD2AP\", \"encoded by\", \"CD2AP (Homo sapiens gene)\"],\n [\"CD2AP (Homo sapiens gene)\", \"strand orientation\", \"reverse strand\"]\n ],\n \"2\": [\n [\"CD2AP\", \"organism\", \"Homo sapiens\"],\n [\"Homo sapiens\", \"has gene\", \"CD2AP (Homo sapiens gene)\"],\n [\... | [
"Query: What are different ways of connecting CD2AP, a protein involved in cellular processes, and a substance that has a reverse strand orientation?\n\nTask: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of factual triples (hea... | [] | [
"<answer>\n{\n \"1\": [\n [\"CD2AP\", \"encoded by\", \"CD2AP (Homo sapiens gene)\"],\n [\"CD2AP (Homo sapiens gene)\", \"strand orientation\", \"reverse strand\"]\n ],\n \"2\": [\n [\"CD2AP\", \"organism\", \"Homo sapiens\"],\n [\"Homo sapiens\", \"has gene\", \"CD2AP (Homo sapiens gene)\"],\n [\... | [
[
"CD2AP",
"genetic association",
"Alzheimer's disease"
],
[
"ATXN7L1",
"genetic association",
"Alzheimer's disease"
],
[
"ATXN7L1",
"strand orientation",
"reverse strand"
]
] | [[[["cd2ap", "encoded by", "cd2ap (homo sapiens gene)"], ["cd2ap (homo sapiens gene)", "strand orientation", "reverse strand"]], [["cd2ap", "organism", "homo sapiens"], ["homo sapiens", "has gene", "cd2ap (homo sapiens gene)"], ["cd2ap (homo sapiens gene)", "strand orientation", "reverse strand"]], [["cd2ap", "encoded ... | [
null
] | [] | [[["cd2ap", "encoded by", "cd2ap (homo sapiens gene)"], ["cd2ap (homo sapiens gene)", "strand orientation", "reverse strand"]], [["cd2ap", "organism", "homo sapiens"], ["homo sapiens", "has gene", "cd2ap (homo sapiens gene)"], ["cd2ap (homo sapiens gene)", "strand orientation", "reverse strand"]], [["cd2ap", "encoded b... | [
1,
0,
0,
1,
0,
1,
1,
0,
0,
0
] | [
"{\n \"explanation\": \"Both triples refer to real biological entities. The first triple states that the CD2AP protein is encoded by the CD2AP gene in humans, which matches the standard gene‑protein relationship. The second triple claims that the CD2AP gene is located on the reverse (negative) DNA strand, which al... | [
[
1,
1
],
[
1,
1,
0
],
[
1,
0,
0,
1
],
[
1,
1,
1,
1
],
[
1,
1,
0
],
[
1,
1,
1
],
[
1,
1,
1
],
[
1,
1,
0
],
[
1,
1,
0
],
[
0,
1,
1
]
] | [
[
5,
1
],
[
1,
1,
1
],
[
5,
4,
4,
1
],
[
5,
2,
2,
1
],
[
4,
4,
1
],
[
3,
4,
1
],
[
5,
5,
1
],
[
5,
5,
1
],
[
5,
5,
1
],
[
5,
4,
1
]
] | [
5,
1,
4,
2,
4,
3,
5,
5,
5,
4
] | [
"[\n {\n \"explanation\": \"Class A (subject‑variation): all entities that are encoded by the gene cd2ap (homo sapiens gene). A single human gene typically produces one main protein product (with possible isoforms), so the set contains roughly one member (the given protein cd2ap). Class B (object‑variation): al... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
"",
"",
"",
"",
"",
"",
"",
"",
"",
""
] | 3.1 | 10 |
[
"Q283572",
"P463",
"Q254138"
] | [
"Q316136",
"P463",
"Q254138"
] | [
"Q316136",
"P19",
"Q39709"
] | [
"Kun Nong",
"member of",
"Slipknot"
] | [
"Chris Fehn",
"member of",
"Slipknot"
] | [
"Chris Fehn",
"place of birth",
"Des Moines"
] | Q254138__P463 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | What are different ways of connecting Kun Nong and someone who was born in Des Moines? | Kun Nong | Des Moines | place of birth | 4 | "Query: What are different ways of connecting Kun Nong and someone who was born in Des Moines?\n\nTa(...TRUNCATED) | ["<answer>\n{\n \"1\": [\n [\"Kun Nong\", \"citizen of\", \"China\"],\n [\"China\", \"hosted\(...TRUNCATED) | ["Query: What are different ways of connecting Kun Nong and someone who was born in Des Moines?\n\nT(...TRUNCATED) | [] | ["<answer>\n{\n \"1\": [\n [\"Kun Nong\", \"citizen of\", \"China\"],\n [\"China\", \"hosted\(...TRUNCATED) | [["Kun Nong","member of","Slipknot"],["Chris Fehn","member of","Slipknot"],["Chris Fehn","place of b(...TRUNCATED) | "[[[[\"kun nong\", \"citizen of\", \"china\"], [\"china\", \"hosted\", \"2008 summer olympics\"], [\(...TRUNCATED) | [
null
] | [] | "[[[\"kun nong\", \"citizen of\", \"china\"], [\"china\", \"hosted\", \"2008 summer olympics\"], [\"(...TRUNCATED) | [
0,
0,
1,
1,
0,
0,
1,
1,
1,
0
] | ["{\n \"explanation\": \"Triple 1: 'kun nong' is not a verifiable contemporary individual; the name(...TRUNCATED) | [[0.0,1.0,1.0,1.0],[0.0,1.0,1.0,1.0],[1.0,1.0,1.0,1.0],[1.0,1.0,1.0,1.0],[0.0,1.0,1.0,1.0,1.0,1.0],[(...TRUNCATED) | [[1,5,1,1],[1,4,1,1],[1,3,1,3],[1,3,1,1],[1,5,3,1,1,1],[1,3,5,1,1],[1,3,1,1,1],[1,5,3,3,1,4],[1,1,4,(...TRUNCATED) | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | ["[\n {\n \"explanation\": \"Class A (subjects that are citizens of China) includes essentially (...TRUNCATED) | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
"",
"",
"",
"",
"",
"",
"",
"",
"",
""
] | 4.9 | 10 |
[
"Q423327",
"P2175",
"Q12199"
] | [
"Q422654",
"P2175",
"Q12199"
] | [
"Q422654",
"P769",
"Q898407"
] | [
"enfuvirtide",
"medical condition treated",
"HIV/AIDS"
] | [
"saquinavir",
"medical condition treated",
"HIV/AIDS"
] | [
"saquinavir",
"significant drug interaction",
"venlafaxine"
] | Q12199__P2175 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | "What are different ways of connecting enfuvirtide, a medication used to treat HIV, and a substance (...TRUNCATED) | enfuvirtide | venlafaxine | significant drug interaction | 5 | "Query: What are different ways of connecting enfuvirtide, a medication used to treat HIV, and a sub(...TRUNCATED) | ["<answer>\n{\n \"1\": [\n [\"enfuvirtide\", \"contains amino acid\", \"tryptophan\"],\n [\"t(...TRUNCATED) | ["Query: What are different ways of connecting enfuvirtide, a medication used to treat HIV, and a su(...TRUNCATED) | [] | ["<answer>\n{\n \"1\": [\n [\"enfuvirtide\", \"contains amino acid\", \"tryptophan\"],\n [\"t(...TRUNCATED) | [["enfuvirtide","medical condition treated","HIV/AIDS"],["saquinavir","medical condition treated","H(...TRUNCATED) | "[[[[\"enfuvirtide\", \"contains amino acid\", \"tryptophan\"], [\"tryptophan\", \"significant drug (...TRUNCATED) | [
null
] | [] | "[[[\"enfuvirtide\", \"contains amino acid\", \"tryptophan\"], [\"tryptophan\", \"significant drug i(...TRUNCATED) | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
0
] | ["{\n \"explanation\": \"The first triple links enfuvirtide, a 36‑amino‑acid HIV fusion inhibit(...TRUNCATED) | [[1.0,1.0],[1.0,1.0,1.0],[1.0,1.0,1.0],[1.0,1.0,1.0],[1.0,1.0,1.0],[1.0,1.0,1.0,1.0,1.0,1.0],[1.0,1.(...TRUNCATED) | [
[
1,
4
],
[
1,
4,
3
],
[
1,
1,
3
],
[
1,
1,
3
],
[
1,
1,
3
],
[
5,
4,
4,
3,
2,
4
],
[
3,
3,
4
],
[
3,
3,
4
],
[
3,
4,
4,
4,
4
],
[
1,
1,
4
]
] | [
1,
1,
1,
1,
1,
2,
3,
3,
3,
1
] | ["[\n {\n \"explanation\": \"Class A (subjects that contain the amino acid tryptophan): virtuall(...TRUNCATED) | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
"",
"",
"",
"",
"",
"",
"",
"",
"",
""
] | 3.4 | 10 |
[
"Q77462",
"P463",
"Q32645"
] | [
"Q95556",
"P463",
"Q32645"
] | [
"Q95556",
"P451",
"Q551050"
] | [
"Bela B",
"member of",
"Die Ärzte"
] | [
"Hagen Liebing",
"member of",
"Die Ärzte"
] | [
"Hagen Liebing",
"unmarried partner",
"Anja Caspary"
] | Q32645__P463 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | "What are different ways of connecting Bela B, the German musician, and someone who is the unmarried(...TRUNCATED) | Bela B | Anja Caspary | unmarried partner | 6 | "Query: What are different ways of connecting Bela B, the German musician, and someone who is the un(...TRUNCATED) | ["<answer>{\"1\": [[\"Bela B\", \"member of\", \"Die Ärzte\"], [\"Die Ärzte\", \"has member\", \"H(...TRUNCATED) | ["Query: What are different ways of connecting Bela B, the German musician, and someone who is the u(...TRUNCATED) | [] | ["<answer>{\"1\": [[\"Bela B\", \"member of\", \"Die Ärzte\"], [\"Die Ärzte\", \"has member\", \"H(...TRUNCATED) | [["Bela B","member of","Die Ärzte"],["Hagen Liebing","member of","Die Ärzte"],["Hagen Liebing","un(...TRUNCATED) | "[[[[\"bela b\", \"member of\", \"die \\u00e4rzte\"], [\"die \\u00e4rzte\", \"has member\", \"hagen (...TRUNCATED) | [
null
] | [] | "[[[\"bela b\", \"member of\", \"die \\u00e4rzte\"], [\"die \\u00e4rzte\", \"has member\", \"hagen l(...TRUNCATED) | [
1,
0,
0,
1,
0,
0,
0,
0,
0,
0
] | ["{\n \"explanation\": \"The first triple links the German musician Bela B (real name Dirk Felsenhe(...TRUNCATED) | [[1.0,1.0,1.0],[0.0,1.0,0.0],[0.0,0.0,0.0,0.0],[1.0,1.0,1.0],[1.0,1.0,1.0,0.0],[1.0,1.0,1.0,0.0],[1.(...TRUNCATED) | [
[
5,
5,
5
],
[
4,
5,
5
],
[
5,
4,
5,
5
],
[
5,
5,
5
],
[
5,
5,
5,
5
],
[
5,
5,
5,
5
],
[
1,
1,
1,
5
],
[
5,
5,
5,
5
],
[
5,
4,
5,
5
],
[
4,
... | [
5,
4,
4,
5,
5,
5,
1,
5,
4,
4
] | ["[\n {\n \"explanation\": \"Class A (subjects that are members of \\\"die ärzte\\\"): the Germ(...TRUNCATED) | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
"",
"",
"",
"",
"",
"",
"",
"",
"",
""
] | 3.8 | 10 |
[
"Q651253",
"P40",
"Q1268"
] | [
"Q9356382",
"P40",
"Q1268"
] | [
"Q9356382",
"P22",
"Q11716498"
] | [
"Nicolas Chopin",
"child",
"Frédéric Chopin"
] | [
"Tekla Justyna Chopin",
"child",
"Frédéric Chopin"
] | [
"Tekla Justyna Chopin",
"father",
"Jakub Krzyżanowski"
] | Q1268__P40 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | "What are different ways of connecting Nicolas Chopin, and someone who is the father of Jakub Krzyż(...TRUNCATED) | Nicolas Chopin | Jakub Krzyżanowski | father | 7 | "Query: What are different ways of connecting Nicolas Chopin, and someone who is the father of Jakub(...TRUNCATED) | ["<answer>\n{\n \"1\": [\n [\"Nicolas Chopin\", \"son-in-law\", \"Jakub Krzyżanowski\"],\n [(...TRUNCATED) | ["Query: What are different ways of connecting Nicolas Chopin, and someone who is the father of Jaku(...TRUNCATED) | [] | ["<answer>\n{\n \"1\": [\n [\"Nicolas Chopin\", \"son-in-law\", \"Jakub Krzyżanowski\"],\n [(...TRUNCATED) | [["Nicolas Chopin","child","Frédéric Chopin"],["Tekla Justyna Chopin","child","Frédéric Chopin"](...TRUNCATED) | "[[[[\"nicolas chopin\", \"son-in-law\", \"jakub krzy\\u017canowski\"], [\"jakub krzy\\u017canowski\(...TRUNCATED) | [
null
] | [] | "[[[\"nicolas chopin\", \"son-in-law\", \"jakub krzy\\u017canowski\"], [\"jakub krzy\\u017canowski\"(...TRUNCATED) | [
0,
1,
1,
0,
0,
1,
0,
0,
1,
0
] | ["{\n \"explanation\": \"The first triple links a person named Nicolas Chopin to Jakub Krzyżanowsk(...TRUNCATED) | [[0.0,1.0,1.0],[1.0,1.0,1.0,1.0],[1.0,1.0,1.0,1.0,1.0],[0.0,1.0,1.0,1.0],[0.0,0.0,1.0],[1.0,1.0,1.0,(...TRUNCATED) | [
[
5,
5,
5
],
[
5,
5,
5,
5
],
[
5,
5,
5,
5,
5
],
[
5,
5,
5,
5
],
[
5,
4,
5
],
[
5,
5,
5,
5
],
[
5,
5,
5
],
[
5,
5,
5
],
[
5,
5,
5,
5
],
[
5,
... | [
5,
5,
5,
5,
4,
5,
5,
5,
5,
4
] | ["[\n {\n \"explanation\": \"Class A (subjects who are son‑in‑law of Jakub Krzyżanowski): a(...TRUNCATED) | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
"",
"",
"",
"",
"",
"",
"",
"",
"",
""
] | 3.6 | 10 |
[
"Q23505",
"P40",
"Q207"
] | [
"Q190628",
"P40",
"Q207"
] | [
"Q190628",
"P39",
"Q7166256"
] | [
"George H. W. Bush",
"child",
"George W. Bush"
] | [
"Barbara Bush",
"child",
"George W. Bush"
] | [
"Barbara Bush",
"position held",
"First Lady of the United States"
] | Q207__P40 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | "What are different ways of connecting George H. W. Bush, the 41st President of the United States, a(...TRUNCATED) | George H. W. Bush | First Lady of the United States | position held | 8 | "Query: What are different ways of connecting George H. W. Bush, the 41st President of the United St(...TRUNCATED) | ["<answer>{\n \"1\": [\n [\"George H. W. Bush\", \"spouse\", \"Barbara Bush (1925–2018)\"],\n (...TRUNCATED) | ["Query: What are different ways of connecting George H. W. Bush, the 41st President of the United S(...TRUNCATED) | [] | ["<answer>{\n \"1\": [\n [\"George H. W. Bush\", \"spouse\", \"Barbara Bush (1925–2018)\"],\n (...TRUNCATED) | [["George H. W. Bush","child","George W. Bush"],["Barbara Bush","child","George W. Bush"],["Barbara (...TRUNCATED) | "[[[[\"george h. w. bush\", \"spouse\", \"barbara bush (1925\\u20132018)\"], [\"barbara bush (1925\\(...TRUNCATED) | [
null
] | [] | "[[[\"george h. w. bush\", \"spouse\", \"barbara bush (1925\\u20132018)\"], [\"barbara bush (1925\\u(...TRUNCATED) | [
1,
1,
1,
1,
1,
1,
1,
0,
1,
1
] | ["{\n \"explanation\": \"Both triples refer to real, well‑known individuals and correct relations(...TRUNCATED) | [[1.0,1.0],[1.0,1.0,1.0],[1.0,1.0,1.0],[1.0,1.0,1.0],[1.0,1.0,1.0],[1.0,1.0,1.0],[1.0,1.0,1.0],[1.0,(...TRUNCATED) | [
[
5,
4
],
[
5,
5,
4
],
[
5,
5,
4
],
[
5,
5,
4
],
[
3,
5,
4
],
[
4,
5,
4
],
[
2,
2,
4
],
[
5,
3,
4
],
[
1,
1,
5,
4
],
[
5,
5,
4
]
] | [
5,
5,
5,
5,
3,
4,
2,
3,
1,
5
] | ["[\n {\n \"explanation\": \"Class A (subject‑variation) asks for all people who are spouses o(...TRUNCATED) | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
"",
"",
"",
"",
"",
"",
"",
"",
"",
""
] | 3 | 10 |
[
"Q18037778",
"P2293",
"Q131755"
] | [
"Q18046338",
"P2293",
"Q131755"
] | [
"Q18046338",
"P5572",
"Q64386"
] | [
"INTS7",
"genetic association",
"bipolar disorder"
] | [
"MCTP1",
"genetic association",
"bipolar disorder"
] | [
"MCTP1",
"expressed in",
"gallbladder"
] | Q131755__P2293 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | "What are different ways of connecting INTS7, a protein involved in various cellular processes, and (...TRUNCATED) | INTS7 | gallbladder | expressed in | 9 | "Query: What are different ways of connecting INTS7, a protein involved in various cellular processe(...TRUNCATED) | ["<answer>\n{\n \"1\": [\n [\"INTS7\", \"part of\", \"Integrator complex\"],\n [\"Integrator (...TRUNCATED) | ["Query: What are different ways of connecting INTS7, a protein involved in various cellular process(...TRUNCATED) | [] | ["<answer>\n{\n \"1\": [\n [\"INTS7\", \"part of\", \"Integrator complex\"],\n [\"Integrator (...TRUNCATED) | [["INTS7","genetic association","bipolar disorder"],["MCTP1","genetic association","bipolar disorder(...TRUNCATED) | "[[[[\"ints7\", \"part of\", \"integrator complex\"], [\"integrator complex\", \"associates with\", (...TRUNCATED) | [
null
] | [] | "[[[\"ints7\", \"part of\", \"integrator complex\"], [\"integrator complex\", \"associates with\", \(...TRUNCATED) | [
1,
1,
1,
0,
1,
0,
1,
1,
0,
1
] | ["{\n \"explanation\": \"All four triples refer to real, identifiable entities and describe relatio(...TRUNCATED) | [[1.0,1.0,1.0,1.0],[1.0,1.0,1.0],[1.0,1.0,1.0,1.0],[0.0,0.0,1.0,1.0],[1.0,1.0,1.0,1.0,1.0],[0.0,0.0,(...TRUNCATED) | [
[
4,
4,
4,
1
],
[
1,
1,
1
],
[
5,
1,
1,
2
],
[
3,
1,
1,
1
],
[
4,
4,
1,
1,
2
],
[
3,
1,
1,
1
],
[
4,
3,
4,
1
],
[
5,
1,
1,
1
],
[
1,
1,
2
],
... | [
4,
1,
1,
1,
1,
1,
3,
1,
1,
1
] | ["[\n {\n \"explanation\": \"Class A (subjects that are part of the integrator complex): the int(...TRUNCATED) | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
"",
"",
"",
"",
"",
"",
"",
"",
"",
""
] | 3.8 | 10 |
End of preview. Expand in Data Studio
README.md exists but content is empty.
- Downloads last month
- 28