triple1 listlengths 3 3 | triple2 listlengths 3 3 | triple3 listlengths 3 3 | triple1_labels listlengths 3 3 | triple2_labels listlengths 3 3 | triple3_labels listlengths 3 3 | description stringlengths 8 16 | keep_triple bool 1
class | query_prompt stringlengths 3.23k 3.32k | query stringlengths 87 187 | entity_a stringlengths 4 26 | entity_b stringlengths 4 58 | rel_b stringlengths 5 36 | index int64 20 99 | prompt stringlengths 3.63k 3.79k | path_prediction listlengths 1 1 | prompt_for_path listlengths 1 1 | usage listlengths 1 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
"Q484048",
"P58",
"Q217324"
] | [
"Q484048",
"P58",
"Q1915951"
] | [
"Q1915951",
"P1411",
"Q1377745"
] | [
"Amélie",
"screenwriter",
"Jean-Pierre Jeunet"
] | [
"Amélie",
"screenwriter",
"Guillaume Laurant"
] | [
"Guillaume Laurant",
"nominated for",
"European Film Award for Best Animated Feature Film"
] | Q484048__P58 | 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 Jean-Pierre Jeunet, the French film director, and someone who was nominated for the European Film Award for Best Animated Feature Film? | Jean-Pierre Jeunet | European Film Award for Best Animated Feature Film | nominated for | 20 | Query: What are different ways of connecting Jean-Pierre Jeunet, the French film director, and someone who was nominated for the European Film Award for Best Animated Feature Film?
Task: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequenc... | [
"```json\n{\n \"1\": [\n [\"Jean-Pierre Jeunet\", \"directed\", \"The City of Lost Children\"],\n [\"The City of Lost Children\", \"features\", \"stop-motion animation\"],\n [\"stop-motion animation\", \"pioneered by\", \"European animators\"],\n [\"European animators\", \"include\", \"Sylvain Chomet\"... | [
"Query: What are different ways of connecting Jean-Pierre Jeunet, the French film director, and someone who was nominated for the European Film Award for Best Animated Feature Film?\n\nTask: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a ... | [
{
"completion_tokens": 4189,
"prompt_tokens": 913,
"total_tokens": 5102
}
] |
[
"Q46551",
"P58",
"Q25191"
] | [
"Q46551",
"P58",
"Q372788"
] | [
"Q372788",
"P26",
"Q27663202"
] | [
"The Prestige",
"screenwriter",
"Christopher Nolan"
] | [
"The Prestige",
"screenwriter",
"Jonathan Nolan"
] | [
"Jonathan Nolan",
"spouse",
"Lisa Joy"
] | Q46551__P58 | 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 Christopher Nolan, the filmmaker, and someone who is married to Lisa Joy? | Christopher Nolan | Lisa Joy | spouse | 21 | Query: What are different ways of connecting Christopher Nolan, the filmmaker, and someone who is married to Lisa Joy?
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, tail) forming a cont... | [
"<answer>\n{\n \"1\": [\n [\"Christopher Nolan\", \"brother of\", \"Jonah Nolan\"],\n [\"Jonah Nolan\", \"spouse\", \"Lisa Joy\"]\n ],\n \"2\": [\n [\"Christopher Nolan\", \"co-wrote screenplay with\", \"Jonah Nolan\"],\n [\"Jonah Nolan\", \"spouse\", \"Lisa Joy\"]\n ],\n \"3\": [\n [\"Christoph... | [
"Query: What are different ways of connecting Christopher Nolan, the filmmaker, and someone who is married to Lisa Joy?\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, relationship, tail) forming... | [
{
"completion_tokens": 7571,
"prompt_tokens": 886,
"total_tokens": 8457
}
] |
[
"Q381845",
"P39",
"Q62070236"
] | [
"Q16196017",
"P39",
"Q62070236"
] | [
"Q16196017",
"P69",
"Q1126189"
] | [
"Lee Jong-wook",
"position held",
"Director-General of the World Health Organization"
] | [
"Tedros Adhanom Ghebreyesus",
"position held",
"Director-General of the World Health Organization"
] | [
"Tedros Adhanom Ghebreyesus",
"educated at",
"London School of Hygiene & Tropical Medicine"
] | Q62070236__P39 | 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 Lee Jong-wook, a prominent figure in global health, and someone who was educated at the London School of Hygiene & Tropical Medicine? | Lee Jong-wook | London School of Hygiene & Tropical Medicine | educated at | 22 | Query: What are different ways of connecting Lee Jong-wook, a prominent figure in global health, and someone who was educated at the London School of Hygiene & Tropical Medicine?
Task: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence ... | [
"```json\n{\n \"1\": [\n [\"Lee Jong-wook\", \"was Director-General of\", \"World Health Organization\"],\n [\"World Health Organization\", \"employs\", \"Jonathan Suk-Fong Chin\"],\n [\"Jonathan Suk-Fong Chin\", \"educated at\", \"London School of Hygiene & Tropical Medicine\"]\n ],\n \"2\": [\n [\"... | [
"Query: What are different ways of connecting Lee Jong-wook, a prominent figure in global health, and someone who was educated at the London School of Hygiene & Tropical Medicine?\n\nTask: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a se... | [
{
"completion_tokens": 3300,
"prompt_tokens": 911,
"total_tokens": 4211
}
] |
[
"Q32488",
"P161",
"Q264306"
] | [
"Q32488",
"P161",
"Q434825"
] | [
"Q434825",
"P19",
"Q12439"
] | [
"2 Broke Girls",
"cast member",
"Beth Behrs"
] | [
"2 Broke Girls",
"cast member",
"Mary Scheer"
] | [
"Mary Scheer",
"place of birth",
"Detroit"
] | Q32488__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 Beth Behrs, the actress, and someone who was born in Detroit? | Beth Behrs | Detroit | place of birth | 23 | Query: What are different ways of connecting Beth Behrs, the actress, and someone who was born in Detroit?
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, tail) forming a continuous chain... | [
"```json\n{\n \"1\": [\n [\"Beth Behrs\", \"co-starred with in 2 Broke Girls\", \"Kat Dennings\"],\n [\"Kat Dennings\", \"guest appeared with on television\", \"David Alan Grier\"],\n [\"David Alan Grier\", \"place of birth\", \"Detroit\"]\n ],\n \"2\": [\n [\"Beth Behrs\", \"starred in television se... | [
"Query: What are different ways of connecting Beth Behrs, the actress, and someone who was born in Detroit?\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, relationship, tail) forming a continuou... | [
{
"completion_tokens": 2772,
"prompt_tokens": 886,
"total_tokens": 3658
}
] |
[
"Q17035754",
"P54",
"Q219602"
] | [
"Q3128846",
"P54",
"Q219602"
] | [
"Q3128846",
"P69",
"Q613736"
] | [
"Trey Gilleo",
"member of sports team",
"New York Jets"
] | [
"Hayden Smith",
"member of sports team",
"New York Jets"
] | [
"Hayden Smith",
"educated at",
"Metropolitan State University of Denver"
] | Q219602__P54 | 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 Trey Gilleo and someone who was educated at Metropolitan State University of Denver? | Trey Gilleo | Metropolitan State University of Denver | educated at | 24 | Query: What are different ways of connecting Trey Gilleo and someone who was educated at Metropolitan State University of Denver?
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, tail) for... | [
"```json\n{\n \"1\": [\n [\"Trey Gilleo\", \"played for\", \"Colorado Rapids\"],\n [\"Colorado Rapids\", \"employed coach\", \"Pablo Mastroeni\"],\n [\"Pablo Mastroeni\", \"educated at\", \"Metropolitan State University of Denver\"]\n ],\n \"2\": [\n [\"Trey Gilleo\", \"professional rival\", \"Jovan ... | [
"Query: What are different ways of connecting Trey Gilleo and someone who was educated at Metropolitan State University of Denver?\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, relationship, ta... | [
{
"completion_tokens": 2295,
"prompt_tokens": 895,
"total_tokens": 3190
}
] |
[
"Q425137",
"P2175",
"Q8277"
] | [
"Q73972",
"P2175",
"Q8277"
] | [
"Q73972",
"P2868",
"Q35456"
] | [
"fingolimod",
"medical condition treated",
"multiple sclerosis"
] | [
"hydroxocobalamin",
"medical condition treated",
"multiple sclerosis"
] | [
"hydroxocobalamin",
"subject has role",
"essential medicine"
] | Q8277__P2175 | 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 fingolimod, a medication used to treat multiple sclerosis, and a substance that is considered an essential medicine and has a specific role? | fingolimod | essential medicine | subject has role | 25 | Query: What are different ways of connecting fingolimod, a medication used to treat multiple sclerosis, and a substance that is considered an essential medicine and has a specific role?
Task: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a se... | [
"```json\n{\n \"1\": [\n [\"fingolimod\", \"approved by\", \"FDA\"],\n [\"FDA\", \"approved\", \"aspirin\"],\n [\"aspirin\", \"subject has role\", \"essential medicine\"]\n ],\n \"2\": [\n [\"fingolimod\", \"treats\", \"multiple sclerosis\"],\n [\"multiple sclerosis\", \"causes\", \"inflammation\"... | [
"Query: What are different ways of connecting fingolimod, a medication used to treat multiple sclerosis, and a substance that is considered an essential medicine and has a specific role?\n\nTask: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path ... | [
{
"completion_tokens": 6011,
"prompt_tokens": 901,
"total_tokens": 6912
}
] |
[
"Q155794",
"P166",
"Q38104"
] | [
"Q156286",
"P166",
"Q38104"
] | [
"Q156286",
"P463",
"Q40358"
] | [
"Hans Bethe",
"award received",
"Nobel Prize in Physics"
] | [
"Russell Alan Hulse",
"award received",
"Nobel Prize in Physics"
] | [
"Russell Alan Hulse",
"member of",
"American Association for the Advancement of Science"
] | 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 Hans Bethe, the renowned physicist, and someone who is a member of the American Association for the Advancement of Science? | Hans Bethe | American Association for the Advancement of Science | member of | 26 | Query: What are different ways of connecting Hans Bethe, the renowned physicist, and someone who is a member of the American Association for the Advancement of Science?
Task: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of factual... | [
"```json\n{\n \"1\": [\n (\"Hans Bethe\", \"worked with\", \"Edward Teller\"),\n (\"Edward Teller\", \"member of\", \"American Association for the Advancement of Science\")\n ],\n \"2\": [\n (\"Hans Bethe\", \"collaborated with\", \"Richard Feynman\"),\n (\"Richard Feynman\", \"member of\", \"America... | [
"Query: What are different ways of connecting Hans Bethe, the renowned physicist, and someone who is a member of the American Association for the Advancement of Science?\n\nTask: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of ... | [
{
"completion_tokens": 4409,
"prompt_tokens": 902,
"total_tokens": 5311
}
] |
[
"Q312648",
"P54",
"Q157376"
] | [
"Q63119820",
"P54",
"Q157376"
] | [
"Q63119820",
"P69",
"Q49118"
] | [
"Jason Terry",
"member of sports team",
"Golden State Warriors"
] | [
"Ky Bowman",
"member of sports team",
"Golden State Warriors"
] | [
"Ky Bowman",
"educated at",
"Boston College"
] | Q157376__P54 | 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 Jason Terry, the former professional basketball player, and someone who was educated at Boston College? | Jason Terry | Boston College | educated at | 27 | Query: What are different ways of connecting Jason Terry, the former professional basketball player, and someone who was educated at Boston College?
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... | [
"```json\n{\n \"1\": [\n [\"Jason Terry\", \"played for\", \"Boston Celtics\"],\n [\"Boston Celtics\", \"coached by\", \"Doc Rivers\"],\n [\"Doc Rivers\", \"worked with\", \"Brandon Bass\"],\n [\"Brandon Bass\", \"teammate with\", \"Jared Dudley\"],\n [\"Jared Dudley\", \"played against\", \"Boston ... | [
"Query: What are different ways of connecting Jason Terry, the former professional basketball player, and someone who was educated at Boston College?\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... | [
{
"completion_tokens": 3425,
"prompt_tokens": 884,
"total_tokens": 4309
}
] |
[
"Q101005247",
"P162",
"Q82090205"
] | [
"Q101005247",
"P162",
"Q87141"
] | [
"Q87141",
"P3373",
"Q28064800"
] | [
"Fox in a Hole",
"producer",
"Karin C. Berger"
] | [
"Fox in a Hole",
"producer",
"Arash T. Riahi"
] | [
"Arash T. Riahi",
"sibling",
"Arman T. Riahi"
] | Q101005247__P162 | 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 Karin C. Berger and someone who is the sibling of Arash T. Riahi? | Karin C. Berger | Arman T. Riahi | sibling | 28 | Query: What are different ways of connecting Karin C. Berger and someone who is the sibling of Arash T. Riahi?
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, tail) forming a continuous c... | [
"```json\n{\n \"1\": [\n (\"Karin C. Berger\", \"collaborates with\", \"Eva Riahi\"),\n (\"Eva Riahi\", \"sibling\", \"Arman T. Riahi\")\n ],\n \"2\": [\n (\"Karin C. Berger\", \"co-authored\", \"Anahita Riahi\"),\n (\"Anahita Riahi\", \"sibling\", \"Arman T. Riahi\")\n ],\n \"3\": [\n (\"Karin ... | [
"Query: What are different ways of connecting Karin C. Berger and someone who is the sibling of Arash T. Riahi?\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, relationship, tail) forming a conti... | [
{
"completion_tokens": 2883,
"prompt_tokens": 909,
"total_tokens": 3792
}
] |
[
"Q32450",
"P161",
"Q5343929"
] | [
"Q32450",
"P161",
"Q267243"
] | [
"Q267243",
"P69",
"Q389336"
] | [
"Pretty Little Liars",
"cast member",
"Edward Kerr"
] | [
"Pretty Little Liars",
"cast member",
"Melanie Mayron"
] | [
"Melanie Mayron",
"educated at",
"American Academy of Dramatic Arts"
] | Q32450__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 Edward Kerr and someone who was educated at the American Academy of Dramatic Arts? | Edward Kerr | American Academy of Dramatic Arts | educated at | 29 | Query: What are different ways of connecting Edward Kerr and someone who was educated at the American Academy of Dramatic Arts?
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, tail) formi... | [
"```json\n{\n \"1\": [\n (\"Edward Kerr\", \"appeared in television series\", \"Wings\"),\n (\"Wings\", \"aired on network with\", \"NBC programming\"),\n (\"NBC programming\", \"featured actor\", \"Oscar Isaac\"),\n (\"Oscar Isaac\", \"educated at\", \"American Academy of Dramatic Arts\")\n ],\n \"2... | [
"Query: What are different ways of connecting Edward Kerr and someone who was educated at the American Academy of Dramatic Arts?\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, relationship, tail... | [
{
"completion_tokens": 2719,
"prompt_tokens": 892,
"total_tokens": 3611
}
] |
[
"Q132689",
"P161",
"Q93467"
] | [
"Q132689",
"P161",
"Q3103904"
] | [
"Q3103904",
"P27",
"Q145"
] | [
"Casablanca",
"cast member",
"Paul Henreid"
] | [
"Casablanca",
"cast member",
"Gerald Oliver Smith"
] | [
"Gerald Oliver Smith",
"country of citizenship",
"United Kingdom"
] | Q132689__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 Paul Henreid, the Austrian-American actor, and someone who holds citizenship in the United Kingdom? | Paul Henreid | United Kingdom | country of citizenship | 30 | Query: What are different ways of connecting Paul Henreid, the Austrian-American actor, and someone who holds citizenship in the United Kingdom?
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, relation... | [
"```json\n{\n \"1\": [\n [\"Paul Henreid\", \"co-starred with\", \"Claude Rains\"],\n [\"Claude Rains\", \"country of citizenship\", \"United Kingdom\"]\n ],\n \"2\": [\n [\"Paul Henreid\", \"appeared in\", \"Casablanca\"],\n [\"Casablanca\", \"featured\", \"Claude Rains\"],\n [\"Claude Rains\", \... | [
"Query: What are different ways of connecting Paul Henreid, the Austrian-American actor, and someone who holds citizenship in the United Kingdom?\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, r... | [
{
"completion_tokens": 6151,
"prompt_tokens": 895,
"total_tokens": 7046
}
] |
[
"Q189267",
"P161",
"Q374065"
] | [
"Q189267",
"P161",
"Q498820"
] | [
"Q498820",
"P54",
"Q3418614"
] | [
"Two and a Half Men",
"cast member",
"Patton Oswalt"
] | [
"Two and a Half Men",
"cast member",
"John Amos"
] | [
"John Amos",
"member of sports team",
"Colorado State Rams"
] | Q189267__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 Patton Oswalt, the comedian and actor, and someone who is a member of the Colorado State Rams sports team? | Patton Oswalt | Colorado State Rams | member of sports team | 31 | Query: What are different ways of connecting Patton Oswalt, the comedian and actor, and someone who is a member of the Colorado State Rams sports team?
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, r... | [
"```json\n{\n \"1\": [\n [\"Patton Oswalt\", \"performed stand-up at\", \"Fort Collins Comedy Club\"],\n [\"Fort Collins Comedy Club\", \"located in\", \"Fort Collins, Colorado\"],\n [\"Fort Collins, Colorado\", \"home to\", \"Colorado State University\"],\n [\"Colorado State University\", \"operates a... | [
"Query: What are different ways of connecting Patton Oswalt, the comedian and actor, and someone who is a member of the Colorado State Rams sports team?\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 (... | [
{
"completion_tokens": 3396,
"prompt_tokens": 905,
"total_tokens": 4301
}
] |
[
"Q17927578",
"P2293",
"Q131755"
] | [
"Q18045774",
"P2293",
"Q131755"
] | [
"Q18045774",
"P5572",
"Q975459"
] | [
"FBLN1",
"genetic association",
"bipolar disorder"
] | [
"FBXL17",
"genetic association",
"bipolar disorder"
] | [
"FBXL17",
"expressed in",
"vastus lateralis muscle"
] | Q131755__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 FBLN1, a protein, and a substance that is expressed in the vastus lateralis muscle? | FBLN1 | vastus lateralis muscle | expressed in | 32 | Query: What are different ways of connecting FBLN1, a protein, and a substance that is expressed in the vastus lateralis muscle?
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, tail) form... | [
"```json\n{\n \"1\": [\n (\"FBLN1\", \"interacts with\", \"integrin alpha-V\"),\n (\"integrin alpha-V\", \"mediates\", \"myogenic differentiation\"),\n (\"myogenic differentiation\", \"activates\", \"MYOD1\"),\n (\"MYOD1\", \"expressed in\", \"vastus lateralis muscle\")\n ],\n \"2\": [\n (\"FBLN1\... | [
"Query: What are different ways of connecting FBLN1, a protein, and a substance that is expressed in the vastus lateralis muscle?\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, relationship, tai... | [
{
"completion_tokens": 3870,
"prompt_tokens": 895,
"total_tokens": 4765
}
] |
End of preview. Expand in Data Studio
Dataset: connections-dev/connection_queries_jan12
This dataset was generated using the inference script with the following configuration:
Inference Parameters
Model Configuration
- Model Name:
claude-haiku-4-5-20251001 - Server URL:
Not specified - API Key:
Not provided - Request Timeout:
300 seconds
Query Configuration
- Query Type:
natural - Query Column:
query - Sampling Type:
n_paths
Generation Parameters
- Temperature:
0.7 - Max Tokens:
16384 - Number of Runs:
1 - Chunk Size:
Entire dataset - Effort Level:
medium
Feature Flags
- Step by Step Reasoning:
False - Reasoning Enabled:
True - No Curator:
False - Index Filter:
None (all samples) - Start Index:
20 - End Index:
100
Data Information
- Input File:
connections-dev/connection_queries_jan12 - Number of Samples:
80 - Output Filename:
connection_queries_jan12__natural__s20__e100__n_paths__1__reasoning__medium__0.7__16384__claude-haiku-4-5-20251001.jsonl
Dataset Structure
The dataset contains the following key columns:
query: The original queryentity_a: Starting entityentity_b: Target entityrel_b: Target relationshippath_prediction: Generated connection pathsprompt_for_path: Prompts used for path generation
Usage
You can load this dataset using:
from datasets import load_dataset
dataset = load_dataset("connections-dev/rebuttals20_e100_n_paths_1_reasoning_medium_0.7_16384_claude-haiku-4-5-20251001_n10")
Generation Details
This dataset was generated on 2026-03-28 19:14:12 using the inference pipeline with the above configuration.
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