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C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Reporting Results | Surveys and interviews: Introducing excerpts from interview data | A recurrent theme in the interviews was a sense amongst interviewees that … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Reporting Results section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Surveys and interviews: Introducing excerpts from interview data".
Example Sentence: "A recurrent theme in the interviews was a sense amongst interviewees that …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Reporting Results | Surveys and interviews: Introducing excerpts from interview data | As one interviewee said: ‘...’ | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Reporting Results section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Surveys and interviews: Introducing excerpts from interview data".
Example Sentence: "As one interviewee said: ‘...’". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Reporting Results | Surveys and interviews: Introducing excerpts from interview data | As one interviewee put it: ‘...’ | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Reporting Results section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Surveys and interviews: Introducing excerpts from interview data".
Example Sentence: "As one interviewee put it: ‘...’". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Reporting Results | Surveys and interviews: Introducing excerpts from interview data | One informant reported that ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Reporting Results section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Surveys and interviews: Introducing excerpts from interview data".
Example Sentence: "One informant reported that ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Reporting Results | Surveys and interviews: Reporting participants’ views | One individual stated that ‘...’ And another commented ‘...’ | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Reporting Results section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Surveys and interviews: Reporting participants’ views".
Example Sentence: "One individual stated that ‘...’ And another commented ‘...’". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Reporting Results | Surveys and interviews: Reporting participants’ views | It was suggested that ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Reporting Results section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Surveys and interviews: Reporting participants’ views".
Example Sentence: "It was suggested that ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Reporting Results | Surveys and interviews: Reporting participants’ views | One interviewee argued that … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Reporting Results section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Surveys and interviews: Reporting participants’ views".
Example Sentence: "One interviewee argued that …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Reporting Results | Surveys and interviews: Reporting participants’ views | There were some suggestions that ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Reporting Results section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Surveys and interviews: Reporting participants’ views".
Example Sentence: "There were some suggestions that ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Reporting Results | Summarising the results section | When asked about X, the participants were unanimous in the view that … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Reporting Results section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Summarising the results section".
Example Sentence: "When asked about X, the participants were unanimous in the view that …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Reporting Results | Summarising the results section | These results suggest that ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Reporting Results section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Summarising the results section".
Example Sentence: "These results suggest that ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Reporting Results | Summarising the results section | The results also indicate that … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Reporting Results section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Summarising the results section".
Example Sentence: "The results also indicate that …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Reporting Results | Summarising the results section | Overall, these results indicate that ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Reporting Results section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Summarising the results section".
Example Sentence: "Overall, these results indicate that ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Providing background information: reference to the literature | The results in this chapter indicate that ... The next chapter, therefore, moves on to discuss the ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Providing background information: reference to the literature".
Example Sentence: "The results in this chapter indicate that ... The next chapter, therefore, moves on to discuss the ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Providing background information: reference to the literature | A number of recent studies … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Providing background information: reference to the literature".
Example Sentence: "A number of recent studies …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Providing background information: reference to the literature | Several reports have shown that … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Providing background information: reference to the literature".
Example Sentence: "Several reports have shown that …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Providing background information: reference to the literature | As mentioned in the literature review, ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Providing background information: reference to the literature".
Example Sentence: "As mentioned in the literature review, ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Providing background information: reference to the purpose of the study | In reviewing the literature, no data was found on the association between X and Y. | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Providing background information: reference to the purpose of the study".
Example Sentence: "In reviewing the literature, no data was found on the association between X and Y.". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Providing background information: reference to the purpose of the study | One of the aims of this study was to … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Providing background information: reference to the purpose of the study".
Example Sentence: "One of the aims of this study was to …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Providing background information: reference to the purpose of the study | The third question in this research was ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Providing background information: reference to the purpose of the study".
Example Sentence: "The third question in this research was ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Providing background information: reference to the purpose of the study | An initial objective of the project was to identify ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Providing background information: reference to the purpose of the study".
Example Sentence: "An initial objective of the project was to identify ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Restating a result or one of several results | With respect to the first research question, it was found that … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Restating a result or one of several results".
Example Sentence: "With respect to the first research question, it was found that …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Restating a result or one of several results | This study found that … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Restating a result or one of several results".
Example Sentence: "This study found that …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Restating a result or one of several results | Another finding is that … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Restating a result or one of several results".
Example Sentence: "Another finding is that …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Restating a result or one of several results | The results of this study show that … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Restating a result or one of several results".
Example Sentence: "The results of this study show that …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Pointing out interesting or important findings | The most obvious finding to emerge from the analysis is that ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Pointing out interesting or important findings".
Example Sentence: "The most obvious finding to emerge from the analysis is that ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Pointing out interesting or important findings | One interesting finding is ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Pointing out interesting or important findings".
Example Sentence: "One interesting finding is ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Pointing out interesting or important findings | Another important finding is that ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Pointing out interesting or important findings".
Example Sentence: "Another important finding is that ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Pointing out interesting or important findings | The most important result was that ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Pointing out interesting or important findings".
Example Sentence: "The most important result was that ... ". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Indicating an unexpected outcome | Another finding that stands out from the results reported earlier is … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Indicating an unexpected outcome".
Example Sentence: "Another finding that stands out from the results reported earlier is …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Indicating an unexpected outcome | What is surprising is that ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Indicating an unexpected outcome".
Example Sentence: "What is surprising is that ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Indicating an unexpected outcome | Surprisingly, X was found to ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Indicating an unexpected outcome".
Example Sentence: "Surprisingly, X was found to ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Indicating an unexpected outcome | One unanticipated result was that ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Indicating an unexpected outcome".
Example Sentence: "One unanticipated result was that ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Indicating an expected outcome | It was surprising that the X group scores did not differ significantly from those of the Y group. | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Indicating an expected outcome".
Example Sentence: "It was surprising that the X group scores did not differ significantly from those of the Y group.". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Indicating an expected outcome | As might be expected, … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Indicating an expected outcome".
Example Sentence: "As might be expected, …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Indicating an expected outcome | It was not surprising to see that … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Indicating an expected outcome".
Example Sentence: "It was not surprising to see that …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Indicating an expected outcome | This finding was not unexpected since … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Indicating an expected outcome".
Example Sentence: "This finding was not unexpected since …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Comparing the result: supporting previous findings | The analysis of the effects of X on Y has, perhaps unsurprisingly, shown that … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Comparing the result: supporting previous findings".
Example Sentence: "The analysis of the effects of X on Y has, perhaps unsurprisingly, shown that …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Comparing the result: supporting previous findings | This study confirms that X is associated with ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Comparing the result: supporting previous findings".
Example Sentence: "This study confirms that X is associated with ... ". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Comparing the result: supporting previous findings | Smith et al. (2015) reported similar effects when … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Comparing the result: supporting previous findings".
Example Sentence: "Smith et al. (2015) reported similar effects when …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Comparing the result: supporting previous findings | This finding was also reported by Smith et al. (1998). | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Comparing the result: supporting previous findings".
Example Sentence: "This finding was also reported by Smith et al. (1998).". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Comparing the result: contradicting previous findings | This study supports evidence from clinical observations (e.g. Smith, 2007; Jones et al., 2015) that … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Comparing the result: contradicting previous findings".
Example Sentence: "This study supports evidence from clinical observations (e.g. Smith, 2007; Jones et al., 2015) that …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Comparing the result: contradicting previous findings | This study has been unable to demonstrate that ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Comparing the result: contradicting previous findings".
Example Sentence: "This study has been unable to demonstrate that ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Comparing the result: contradicting previous findings | However, this result has not previously been described. | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Comparing the result: contradicting previous findings".
Example Sentence: "However, this result has not previously been described.". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Comparing the result: contradicting previous findings | This outcome is contrary to that of Smith et al. (2020) who found … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Comparing the result: contradicting previous findings".
Example Sentence: "This outcome is contrary to that of Smith et al. (2020) who found …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Offering an explanation for the findings | Although, these results differ from some published studies (Smith, 2007; Jones, 2015), they are consistent with those of … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Offering an explanation for the findings".
Example Sentence: "Although, these results differ from some published studies (Smith, 2007; Jones, 2015), they are consistent with those of …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Offering an explanation for the findings | A possible explanation for this might be that ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Offering an explanation for the findings".
Example Sentence: "A possible explanation for this might be that ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Offering an explanation for the findings | Another possible explanation for this is that ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Offering an explanation for the findings".
Example Sentence: "Another possible explanation for this is that ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Offering an explanation for the findings | This result may be explained by the fact that ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Offering an explanation for the findings".
Example Sentence: "This result may be explained by the fact that ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Advising cautious interpretation of the findings | It is possible that these unmeasured variables could account for some aspects of the results. | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Advising cautious interpretation of the findings".
Example Sentence: "It is possible that these unmeasured variables could account for some aspects of the results.". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Advising cautious interpretation of the findings | Another source of uncertainty is … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Advising cautious interpretation of the findings".
Example Sentence: "Another source of uncertainty is …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Advising cautious interpretation of the findings | Additional uncertainty arises from … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Advising cautious interpretation of the findings".
Example Sentence: "Additional uncertainty arises from …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Advising cautious interpretation of the findings | A note of caution is due here since … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Advising cautious interpretation of the findings".
Example Sentence: "A note of caution is due here since …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Commenting on the findings | However, with a small sample size, caution must be applied, as the findings might not be … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Commenting on the findings".
Example Sentence: "However, with a small sample size, caution must be applied, as the findings might not be …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Commenting on the findings | This finding is reassuring since … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Commenting on the findings".
Example Sentence: "This finding is reassuring since …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Commenting on the findings | These findings are rather disappointing. | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Commenting on the findings".
Example Sentence: "These findings are rather disappointing.". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Commenting on the findings | However, these results were not very encouraging. | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Commenting on the findings".
Example Sentence: "However, these results were not very encouraging.". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Suggesting general hypotheses | Unfortunately, these findings are rather difficult to interpret because … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Suggesting general hypotheses".
Example Sentence: "Unfortunately, these findings are rather difficult to interpret because …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Suggesting general hypotheses | These findings suggest that ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Suggesting general hypotheses".
Example Sentence: "These findings suggest that ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Suggesting general hypotheses | It is possible, therefore, that ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Suggesting general hypotheses".
Example Sentence: "It is possible, therefore, that ... ". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Suggesting general hypotheses | It can thus be suggested that ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Suggesting general hypotheses".
Example Sentence: "It can thus be suggested that ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Noting implications of the findings | It is possible to hypothesise that these conditions are less likely to occur in ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Noting implications of the findings".
Example Sentence: "It is possible to hypothesise that these conditions are less likely to occur in ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Noting implications of the findings | These findings suggest that ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Noting implications of the findings".
Example Sentence: "These findings suggest that ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Noting implications of the findings | It can therefore be assumed that the ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Noting implications of the findings".
Example Sentence: "It can therefore be assumed that the ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Noting implications of the findings | This provides some explanation as to why … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Noting implications of the findings".
Example Sentence: "This provides some explanation as to why …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Suggestions for future work | This combination of findings provides some support for the conceptual premise that ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Suggestions for future work".
Example Sentence: "This combination of findings provides some support for the conceptual premise that ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Suggestions for future work | This is an important issue for future research. | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Suggestions for future work".
Example Sentence: "This is an important issue for future research. ". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Suggestions for future work | Research questions that could be asked include ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Suggestions for future work".
Example Sentence: "Research questions that could be asked include ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Discussing Findings | Suggestions for future work | Several questions remain unanswered at present. | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Discussing Findings section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Suggestions for future work".
Example Sentence: "Several questions remain unanswered at present.". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Writing Conclusions | Referring back to the purpose of the paper or study | However, more research on this topic needs to be undertaken before the association between X and Y is more clearly understood. | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Writing Conclusions section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Referring back to the purpose of the paper or study".
Example Sentence: "However, more research on this topic needs to be undertaken before the association between X and Y is more clearly understood.". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Writing Conclusions | Referring back to the purpose of the paper or study | This study set out to … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Writing Conclusions section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Referring back to the purpose of the paper or study".
Example Sentence: "This study set out to …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Writing Conclusions | Referring back to the purpose of the paper or study | This paper has argued that ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Writing Conclusions section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Referring back to the purpose of the paper or study".
Example Sentence: "This paper has argued that ... ". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Writing Conclusions | Referring back to the purpose of the paper or study | This essay has discussed the reasons for ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Writing Conclusions section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Referring back to the purpose of the paper or study".
Example Sentence: "This essay has discussed the reasons for ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Writing Conclusions | Summarising the main research findings | Returning to the question posed at the beginning of this study, it is now possible to state that ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Writing Conclusions section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Summarising the main research findings".
Example Sentence: "Returning to the question posed at the beginning of this study, it is now possible to state that ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Writing Conclusions | Summarising the main research findings | This study has identified … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Writing Conclusions section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Summarising the main research findings".
Example Sentence: "This study has identified …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Writing Conclusions | Summarising the main research findings | This study has shown that ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Writing Conclusions section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Summarising the main research findings".
Example Sentence: "This study has shown that ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Writing Conclusions | Summarising the main research findings | The findings clearly indicate that … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Writing Conclusions section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Summarising the main research findings".
Example Sentence: "The findings clearly indicate that …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Writing Conclusions | Suggesting implications for what is already known | One of the more significant findings to emerge from this study is that ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Writing Conclusions section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Suggesting implications for what is already known".
Example Sentence: "One of the more significant findings to emerge from this study is that ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Writing Conclusions | Suggesting implications for what is already known | In general, therefore, it seems that ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Writing Conclusions section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Suggesting implications for what is already known".
Example Sentence: "In general, therefore, it seems that ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Writing Conclusions | Suggesting implications for what is already known | The results of this study indicate that ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Writing Conclusions section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Suggesting implications for what is already known".
Example Sentence: "The results of this study indicate that ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Writing Conclusions | Suggesting implications for what is already known | The findings of this study suggest that ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Writing Conclusions section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Suggesting implications for what is already known".
Example Sentence: "The findings of this study suggest that ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Writing Conclusions | Explaining the significance of the findings or contribution of the study | These findings raised important theoretical issues that have a bearing on the ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Writing Conclusions section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Explaining the significance of the findings or contribution of the study".
Example Sentence: "These findings raised important theoretical issues that have a bearing on the ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Writing Conclusions | Explaining the significance of the findings or contribution of the study | The findings will be of interest to … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Writing Conclusions section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Explaining the significance of the findings or contribution of the study".
Example Sentence: "The findings will be of interest to …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Writing Conclusions | Explaining the significance of the findings or contribution of the study | This thesis has provided a deeper insight into … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Writing Conclusions section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Explaining the significance of the findings or contribution of the study".
Example Sentence: "This thesis has provided a deeper insight into …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Writing Conclusions | Explaining the significance of the findings or contribution of the study | The findings reported here shed new light on … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Writing Conclusions section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Explaining the significance of the findings or contribution of the study".
Example Sentence: "The findings reported here shed new light on …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Writing Conclusions | Commenting on the strengths of the current study | These findings contribute in several ways to our understanding of X and provide a basis for … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Writing Conclusions section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Commenting on the strengths of the current study".
Example Sentence: "These findings contribute in several ways to our understanding of X and provide a basis for …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Writing Conclusions | Commenting on the strengths of the current study | A key strength of the present study was the ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Writing Conclusions section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Commenting on the strengths of the current study".
Example Sentence: "A key strength of the present study was the ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Writing Conclusions | Commenting on the strengths of the current study | The main strength of this study is the exclusion of … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Writing Conclusions section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Commenting on the strengths of the current study".
Example Sentence: "The main strength of this study is the exclusion of …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Writing Conclusions | Commenting on the strengths of the current study | One strength of this study is the high rate of follow-up, … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Writing Conclusions section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Commenting on the strengths of the current study".
Example Sentence: "One strength of this study is the high rate of follow-up, …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Writing Conclusions | Introducing the limitations of the current study | One of the strengths of this study is that it represents a comprehensive examination of the whole … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Writing Conclusions section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Introducing the limitations of the current study".
Example Sentence: "One of the strengths of this study is that it represents a comprehensive examination of the whole …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Writing Conclusions | Introducing the limitations of the current study | A number of limitations need to be noted regarding the present study. | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Writing Conclusions section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Introducing the limitations of the current study".
Example Sentence: "A number of limitations need to be noted regarding the present study.". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Writing Conclusions | Introducing the limitations of the current study | Study limitations make an overall conclusion about X extremely difficult. | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Writing Conclusions section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Introducing the limitations of the current study".
Example Sentence: "Study limitations make an overall conclusion about X extremely difficult.". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Writing Conclusions | Introducing the limitations of the current study | The findings in this report are subject to at least three limitations. First, ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Writing Conclusions section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Introducing the limitations of the current study".
Example Sentence: "The findings in this report are subject to at least three limitations. First, ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Writing Conclusions | Detailing specific limitations | Although the study has successfully demonstrated that ..., it has certain limitations in terms of ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Writing Conclusions section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Detailing specific limitations".
Example Sentence: "Although the study has successfully demonstrated that ..., it has certain limitations in terms of ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Writing Conclusions | Detailing specific limitations | A limitation of this study is that … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Writing Conclusions section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Detailing specific limitations".
Example Sentence: "A limitation of this study is that …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Writing Conclusions | Detailing specific limitations | Being limited to X, this study lacks … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Writing Conclusions section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Detailing specific limitations".
Example Sentence: "Being limited to X, this study lacks …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Writing Conclusions | Detailing specific limitations | The major limitation of this study is the ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Writing Conclusions section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Detailing specific limitations".
Example Sentence: "The major limitation of this study is the ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Writing Conclusions | Acknowledging limitation(s) whilst stating a finding or contribution | With a small sample size, caution must be applied, as the findings might not be transferable to ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Writing Conclusions section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Acknowledging limitation(s) whilst stating a finding or contribution".
Example Sentence: "With a small sample size, caution must be applied, as the findings might not be transferable to ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Writing Conclusions | Acknowledging limitation(s) whilst stating a finding or contribution | Notwithstanding these limitations, the study suggests that ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Writing Conclusions section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Acknowledging limitation(s) whilst stating a finding or contribution".
Example Sentence: "Notwithstanding these limitations, the study suggests that ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Writing Conclusions | Acknowledging limitation(s) whilst stating a finding or contribution | Whilst this study did not confirm X, it did partially substantiate ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Writing Conclusions section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Acknowledging limitation(s) whilst stating a finding or contribution".
Example Sentence: "Whilst this study did not confirm X, it did partially substantiate ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Writing Conclusions | Acknowledging limitation(s) whilst stating a finding or contribution | Despite its exploratory nature, this study offers some insight into ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Writing Conclusions section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Acknowledging limitation(s) whilst stating a finding or contribution".
Example Sentence: "Despite its exploratory nature, this study offers some insight into ...". [/INST] |
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