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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"
}
] | Introducing Work | Previous research: A historic perspective | The academic literature on X has revealed the emergence of several contrasting themes. | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work 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: "Previous research: A historic perspective".
Example Sentence: "The academic literature on X has revealed the emergence of several contrasting themes.". [/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"
}
] | Introducing Work | Previous research: A historic perspective | Research into X has a long history. | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work 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: "Previous research: A historic perspective".
Example Sentence: "Research into X has a long history.". [/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"
}
] | Introducing Work | Previous research: A historic perspective | Over the past two decades, major advances in X have allowed … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work 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: "Previous research: A historic perspective".
Example Sentence: "Over the past two decades, major advances in X have allowed …". [/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"
}
] | Introducing Work | Previous research: A historic perspective | For many years, this phenomenon was surprisingly neglected by … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work 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: "Previous research: A historic perspective".
Example Sentence: "For many years, this phenomenon was surprisingly neglected by …". [/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"
}
] | Introducing Work | Previous research: area investigated as the sentence object | Around the early 1960s, small-scale research and case studies began to emerge linking the use 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 Introducing Work 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: "Previous research: area investigated as the sentence object".
Example Sentence: "Around the early 1960s, small-scale research and case studies began to emerge linking the use 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"
}
] | Introducing Work | Previous research: area investigated as the sentence object | To date, several studies have investigated … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work 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: "Previous research: area investigated as the sentence object".
Example Sentence: "To date, several studies have investigated …". [/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"
}
] | Introducing Work | Previous research: area investigated as the sentence object | A number of studies have begun to examine … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work 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: "Previous research: area investigated as the sentence object".
Example Sentence: "A number of studies have begun to examine …". [/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"
}
] | Introducing Work | Previous research: area investigated as the sentence object | Various studies have assessed the efficacy 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 Introducing Work 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: "Previous research: area investigated as the sentence object".
Example Sentence: "Various studies have assessed the efficacy 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"
}
] | Introducing Work | Previous research: area investigated as the sentence subject | Numerous studies have attempted to explain … (for example, Smith, 1996; Jones, 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 Introducing Work 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: "Previous research: area investigated as the sentence subject".
Example Sentence: "Numerous studies have attempted to explain … (for example, Smith, 1996; Jones, 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"
}
] | Introducing Work | Previous research: area investigated as the sentence subject | X has been proposed to explain how … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work 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: "Previous research: area investigated as the sentence subject".
Example Sentence: "X has been proposed to explain how …". [/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"
}
] | Introducing Work | Previous research: area investigated as the sentence subject | The X problem has been extensively studied. | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work 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: "Previous research: area investigated as the sentence subject".
Example Sentence: "The X problem has been extensively studied.". [/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"
}
] | Introducing Work | Previous research: area investigated as the sentence subject | Xs have been studied extensively in vitro, using … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work 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: "Previous research: area investigated as the sentence subject".
Example Sentence: "Xs have been studied extensively in vitro, using …". [/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"
}
] | Introducing Work | Previous research: Approaches taken | The relationship between X and Y has been widely investigated (Smith, 1985; Jones, 1987, ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work 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: "Previous research: Approaches taken".
Example Sentence: "The relationship between X and Y has been widely investigated (Smith, 1985; Jones, 1987, ...". [/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"
}
] | Introducing Work | Previous research: Approaches taken | Most research on X has been carried out 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 Introducing Work 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: "Previous research: Approaches taken".
Example Sentence: "Most research on X has been carried out 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"
}
] | Introducing Work | Previous research: Approaches taken | Two different approaches have been used 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 Introducing Work 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: "Previous research: Approaches taken".
Example Sentence: "Two different approaches have been used 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"
}
] | Introducing Work | Previous research: Approaches taken | Most researchers investigating X have utilised … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work 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: "Previous research: Approaches taken".
Example Sentence: "Most researchers investigating X have utilised …". [/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"
}
] | Introducing Work | Previous research: What has been established or proposed | Publications that concentrate on X more frequently adopt a historical or chronological approach … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work 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: "Previous research: What has been established or proposed".
Example Sentence: "Publications that concentrate on X more frequently adopt a historical or chronological approach …". [/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"
}
] | Introducing Work | Previous research: What has been established or proposed | Several lines of evidence 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 Introducing Work 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: "Previous research: What has been established or proposed".
Example Sentence: "Several lines of evidence 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"
}
] | Introducing Work | Previous research: What has been established or proposed | Previous research has established 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 Introducing Work 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: "Previous research: What has been established or proposed".
Example Sentence: "Previous research has established 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"
}
] | Introducing Work | Previous research: What has been established or proposed | Data from several studies 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 Introducing Work 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: "Previous research: What has been established or proposed".
Example Sentence: "Data from several studies 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"
}
] | Introducing Work | Stating what is currently known about the topic | There is a large number of published studies (e.g., Smith, 2015; …) that describe the link between … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work 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: "Stating what is currently known about the topic".
Example Sentence: "There is a large number of published studies (e.g., Smith, 2015; …) that describe the link between …". [/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"
}
] | Introducing Work | Stating what is currently known about the topic | X increases when … (Smith, 2015) | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work 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: "Stating what is currently known about the topic".
Example Sentence: "X increases when … (Smith, 2015)". [/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"
}
] | Introducing Work | Stating what is currently known about the topic | X is able to affect Y (Smith, 2015; Jones, 2020). | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work 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: "Stating what is currently known about the topic".
Example Sentence: "X is able to affect Y (Smith, 2015; Jones, 2020).". [/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"
}
] | Introducing Work | Stating what is currently known about the topic | X is positively related to Y (Smith, 2015; Jones, 2020). | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work 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: "Stating what is currently known about the topic".
Example Sentence: "X is positively related to Y (Smith, 2015; Jones, 2020).". [/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"
}
] | Introducing Work | Previous research: highlighting negative outcomes | Previous studies have failed to show any significant differences 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 Introducing Work 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: "Previous research: highlighting negative outcomes".
Example Sentence: "Previous studies have failed to show any significant differences 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"
}
] | Introducing Work | Previous research: highlighting negative outcomes | The research to date has not been able to demonstrate significant advantages of using … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work 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: "Previous research: highlighting negative outcomes".
Example Sentence: "The research to date has not been able to demonstrate significant advantages of using …". [/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"
}
] | Introducing Work | Previous research: highlighting negative outcomes | Recent studies have failed to establish … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work 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: "Previous research: highlighting negative outcomes".
Example Sentence: "Recent studies have failed to establish …". [/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"
}
] | Introducing Work | Previous research: highlighting negative outcomes | Prior studies have been unsuccessful in accounting for all aspects 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 Introducing Work 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: "Previous research: highlighting negative outcomes".
Example Sentence: "Prior studies have been unsuccessful in accounting for all aspects 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"
}
] | Introducing Work | Reference to previous research: important studies | The first detailed study of X 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 Introducing Work 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: "Reference to previous research: important studies".
Example Sentence: "The first detailed study of X 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"
}
] | Introducing Work | Reference to previous research: important studies | Smith (1960) was one of the first to examine … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work 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: "Reference to previous research: important studies".
Example Sentence: "Smith (1960) was one of the first to examine …". [/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"
}
] | Introducing Work | Reference to previous research: important studies | The first systematic study of X was reported by … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work 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: "Reference to previous research: important studies".
Example Sentence: "The first systematic study of X was reported by …". [/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"
}
] | Introducing Work | Reference to previous research: important studies | Before Smith (1961), it was generally believed 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 Introducing Work 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: "Reference to previous research: important studies".
Example Sentence: "Before Smith (1961), it was generally believed 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"
}
] | Introducing Work | Referring to a single investigation in the past: investigation prominent | The innovative and seminal work of Smith pioneered a new approach to examining X and provided | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work 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 to a single investigation in the past: investigation prominent".
Example Sentence: "The innovative and seminal work of Smith pioneered a new approach to examining X and provided ". [/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"
}
] | Introducing Work | Referring to a single investigation in the past: investigation prominent | One longitudinal 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 Introducing Work 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 to a single investigation in the past: investigation prominent".
Example Sentence: "One longitudinal 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"
}
] | Introducing Work | Referring to a single investigation in the past: investigation prominent | A seminal study in this area is the work 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 Introducing Work 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 to a single investigation in the past: investigation prominent".
Example Sentence: "A seminal study in this area is the work 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"
}
] | Introducing Work | Referring to a single investigation in the past: investigation prominent | One study by Smith (2014) examined the trend 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 Introducing Work 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 to a single investigation in the past: investigation prominent".
Example Sentence: "One study by Smith (2014) examined the trend 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"
}
] | Introducing Work | Referring to a single investigation in the past: researcher prominent | In one well-known recent experiment, limits on X were found to be ... (Smith, 2019). | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work 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 to a single investigation in the past: researcher prominent".
Example Sentence: "In one well-known recent experiment, limits on X were found to be ... (Smith, 2019).". [/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"
}
] | Introducing Work | Referring to a single investigation in the past: researcher prominent | Smith’s comparative study (2017) 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 Introducing Work 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 to a single investigation in the past: researcher prominent".
Example Sentence: "Smith’s comparative study (2017) 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"
}
] | Introducing Work | Referring to a single investigation in the past: researcher prominent | Jones’s comprehensive review concluded 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 Introducing Work 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 to a single investigation in the past: researcher prominent".
Example Sentence: "Jones’s comprehensive review concluded 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"
}
] | Introducing Work | Referring to a single investigation in the past: researcher prominent | Brown’s (1998) model of X assumes three main ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work 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 to a single investigation in the past: researcher prominent".
Example Sentence: "Brown’s (1998) model of X assumes three main ...". [/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"
}
] | Introducing Work | Referring to important texts in the area of interest | Brown’s (2022) recent analysis of X provides a strong critique 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 Introducing Work 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 to important texts in the area of interest".
Example Sentence: "Brown’s (2022) recent analysis of X provides a strong critique 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"
}
] | Introducing Work | Referring to important texts in the area of interest | With its publication in 1876, Smith’s XXXXX established … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work 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 to important texts in the area of interest".
Example Sentence: "With its publication in 1876, Smith’s XXXXX established …". [/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"
}
] | Introducing Work | Referring to important texts in the area of interest | In 1859, the publication of XXXXX had a major impact 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 Introducing Work 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 to important texts in the area of interest".
Example Sentence: "In 1859, the publication of XXXXX had a major impact 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"
}
] | Introducing Work | Referring to important texts in the area of interest | In his seminal text, XXXXX, Smith devoted some attention 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 Introducing Work 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 to important texts in the area of interest".
Example Sentence: "In his seminal text, XXXXX, Smith devoted some attention 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"
}
] | Introducing Work | Describing what other writers do in their published work | Smith et al., in their book XXXXX (2006), give some reliable methods for calculating … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work 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: "Describing what other writers do in their published work".
Example Sentence: "Smith et al., in their book XXXXX (2006), give some reliable methods for calculating …". [/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"
}
] | Introducing Work | Describing what other writers do in their published work | On the basis of these findings, Smith proposes 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 Introducing Work 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: "Describing what other writers do in their published work".
Example Sentence: "On the basis of these findings, Smith proposes 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"
}
] | Introducing Work | Describing what other writers do in their published work | In his analysis of X, Smith (2020) seeks to challenge … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work 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: "Describing what other writers do in their published work".
Example Sentence: "In his analysis of X, Smith (2020) seeks to challenge …". [/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"
}
] | Introducing Work | Describing what other writers do in their published work | In Chapter 2, Smith provides us with a number of important ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work 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: "Describing what other writers do in their published work".
Example Sentence: "In Chapter 2, Smith provides us with a number of important ...". [/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"
}
] | Introducing Work | Referring to another writer’s idea(s) or position | Other authors (see Smith, 2016; Jones, 2019) question the usefulness of such an approach. | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work 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 to another writer’s idea(s) or position".
Example Sentence: "Other authors (see Smith, 2016; Jones, 2019) question the usefulness of such an approach.". [/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"
}
] | Introducing Work | Referring to another writer’s idea(s) or position | According to Smith (2003), preventative medicine is far more cost effective, and therefore ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work 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 to another writer’s idea(s) or position".
Example Sentence: "According to Smith (2003), preventative medicine is far more cost effective, and therefore ...". [/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"
}
] | Introducing Work | Referring to another writer’s idea(s) or position | Smith (2013) claims that preventative medicine is far more cost effective than … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work 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 to another writer’s idea(s) or position".
Example Sentence: "Smith (2013) claims that preventative medicine is far more cost effective than …". [/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"
}
] | Introducing Work | Referring to another writer’s idea(s) or position | Jones (2013) offers an explanatory theory 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 Introducing Work 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 to another writer’s idea(s) or position".
Example Sentence: "Jones (2013) offers an explanatory theory 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"
}
] | Introducing Work | Synthesising sources: supporting evidence or ideas | Similarly, Jones (2015) found that X ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work 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: "Synthesising sources: supporting evidence or ideas".
Example Sentence: "Similarly, Jones (2015) found that X ...". [/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"
}
] | Introducing Work | Synthesising sources: supporting evidence or ideas | This is consistent with the data obtained by … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work 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: "Synthesising sources: supporting evidence or ideas".
Example Sentence: "This is consistent with the data obtained by …". [/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"
}
] | Introducing Work | Synthesising sources: supporting evidence or ideas | Smith (1995) makes a similar point in his study of X … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work 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: "Synthesising sources: supporting evidence or ideas".
Example Sentence: "Smith (1995) makes a similar point in his study of X …". [/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"
}
] | Introducing Work | Synthesising sources: supporting evidence or ideas | In the same vein, Smith (1995) in his book XYZ notes ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work 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: "Synthesising sources: supporting evidence or ideas".
Example Sentence: "In the same vein, Smith (1995) in his book XYZ notes ...". [/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"
}
] | Introducing Work | Synthesising sources: contrasting evidence or ideas | A broadly similar point has also recently been made by Johnson (2019), who … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work 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: "Synthesising sources: contrasting evidence or ideas".
Example Sentence: "A broadly similar point has also recently been made by Johnson (2019), who …". [/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"
}
] | Introducing Work | Synthesising sources: contrasting evidence or ideas | Other writers have 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 Introducing Work 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: "Synthesising sources: contrasting evidence or ideas".
Example Sentence: "Other writers have 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"
}
] | Introducing Work | Synthesising sources: contrasting evidence or ideas | Other studies have concluded 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 Introducing Work 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: "Synthesising sources: contrasting evidence or ideas".
Example Sentence: "Other studies have concluded 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"
}
] | Introducing Work | Synthesising sources: contrasting evidence or ideas | Unlike Smith, Jones (2013) argues 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 Introducing Work 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: "Synthesising sources: contrasting evidence or ideas".
Example Sentence: "Unlike Smith, Jones (2013) argues 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"
}
] | Introducing Work | Contrasting sources with ‘however’ for emphasis | Much of the available literature on X deals
with the question of … However, Smith (2008) is much more concerned
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 Introducing Work 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: "Contrasting sources with ‘however’ for emphasis".
Example Sentence: "Much of the available literature on X deals
with the question of … However, Smith (2008) is much more concerned
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"
}
] | Introducing Work | Contrasting sources with ‘however’ for emphasis | According to some studies, X is represented as
… (Smith, 2012; Davis, 2014). However, others propose … (Jones, 2014; Brown,
2015) | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work 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: "Contrasting sources with ‘however’ for emphasis".
Example Sentence: "According to some studies, X is represented as
… (Smith, 2012; Davis, 2014). However, others propose … (Jones, 2014; Brown,
2015)". [/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"
}
] | Introducing Work | Contrasting sources with ‘however’ for emphasis | Smith (2013) found that X accounted for
approximately 30% of Y. Other researchers, however, who have looked at
X, have found ... Jones (2010), for example, … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work 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: "Contrasting sources with ‘however’ for emphasis".
Example Sentence: "Smith (2013) found that X accounted for
approximately 30% of Y. Other researchers, however, who have looked at
X, have found ... Jones (2010), for example, …". [/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"
}
] | Introducing Work | Contrasting sources with ‘however’ for emphasis | Smith (2002) reports that ... Jones’s (2010) study of Y, however, found little
evidence 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 Introducing Work 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: "Contrasting sources with ‘however’ for emphasis".
Example Sentence: "Smith (2002) reports that ... Jones’s (2010) study of Y, however, found little
evidence 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"
}
] | Introducing Work | Referring to secondary sources | Smith (1973, cited in Jones, 2010) points out 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 Introducing Work 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 to secondary sources".
Example Sentence: "Smith (1973, cited in Jones, 2010) points out 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"
}
] | Introducing Work | Referring to secondary sources | Smith draws on the work of Jones (1959) who 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 Introducing Work 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 to secondary sources".
Example Sentence: "Smith draws on the work of Jones (1959) who 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"
}
] | Introducing Work | Referring to secondary sources | Building on the work of Jones (2008), Smith (2012) argues 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 Introducing Work 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 to secondary sources".
Example Sentence: "Building on the work of Jones (2008), Smith (2012) argues 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"
}
] | Introducing Work | Referring to secondary sources | Smith (2012) revisits and updates the Jones (1996) model of X by … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work 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 to secondary sources".
Example Sentence: "Smith (2012) revisits and updates the Jones (1996) model of X by …". [/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"
}
] | Introducing Work | Some ways of introducing quotations | Drawing on the work of a wide range of philosophers, Smith (2018) advances the notion 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 Introducing Work 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: "Some ways of introducing quotations".
Example Sentence: "Drawing on the work of a wide range of philosophers, Smith (2018) advances the notion 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"
}
] | Introducing Work | Some ways of introducing quotations | Commenting on X, Smith (2003) argues: ‘... ...’ | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work 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: "Some ways of introducing quotations".
Example Sentence: "Commenting on X, Smith (2003) argues: ‘... ...’". [/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"
}
] | Introducing Work | Some ways of introducing quotations | As Jones (2014: 215) states: ‘there are many good reasons to be sceptical’. | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work 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: "Some ways of introducing quotations".
Example Sentence: "As Jones (2014: 215) states: ‘there are many good reasons to be sceptical’.". [/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"
}
] | Introducing Work | Some ways of introducing quotations | As Smith argues: ‘In the past, the purpose of education was to ...’ (Smith, 2000:150). | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work 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: "Some ways of introducing quotations".
Example Sentence: "As Smith argues: ‘In the past, the purpose of education was to ...’ (Smith, 2000:150).". [/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"
}
] | Introducing Work | Summarising the studies reviewed | Sachs concludes: ‘The idea of development stands today like a ruin in …’ (Sachs, 1992a: 156). | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work 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 studies reviewed".
Example Sentence: "Sachs concludes: ‘The idea of development stands today like a ruin in …’ (Sachs, 1992a: 156).". [/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"
}
] | Introducing Work | Summarising the studies reviewed | Together, these studies 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 Introducing Work 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 studies reviewed".
Example Sentence: "Together, these studies 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"
}
] | Introducing Work | Summarising the studies reviewed | Overall, these studies highlight the need 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 Introducing Work 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 studies reviewed".
Example Sentence: "Overall, these studies highlight the need 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"
}
] | Introducing Work | Summarising the studies reviewed | Considering all of this evidence, 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 Introducing Work 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 studies reviewed".
Example Sentence: "Considering all of this evidence, 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"
}
] | Introducing Work | Summarising the literature review | There remain several aspects of X about which relatively little is known. | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work 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 literature review".
Example Sentence: "There remain several aspects of X about which relatively little is known.". [/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"
}
] | Introducing Work | Summarising the literature review | The previous section 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 Introducing Work 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 literature review".
Example Sentence: "The previous section 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"
}
] | Introducing Work | Summarising the literature review | In conclusion, these studies 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 Introducing Work 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 literature review".
Example Sentence: "In conclusion, these studies 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"
}
] | Introducing Work | Summarising the literature review | The evidence reviewed here seems to suggest … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work 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 literature review".
Example Sentence: "The evidence reviewed here seems to suggest …". [/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"
}
] | Describing Methods | Describing previously used methods | This section has attempted to provide a brief summary of the literature relating 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 Describing Methods 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: "Describing previously used methods".
Example Sentence: "This section has attempted to provide a brief summary of the literature relating 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"
}
] | Describing Methods | Describing previously used methods | Many researchers have utilised X to measure … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Describing Methods 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: "Describing previously used methods".
Example Sentence: "Many researchers have utilised X to measure …". [/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"
}
] | Describing Methods | Describing previously used methods | One of the most well-known tools for assessing … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Describing Methods 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: "Describing previously used methods".
Example Sentence: "One of the most well-known tools for assessing …". [/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"
}
] | Describing Methods | Describing previously used methods | Traditionally, X has been assessed by measuring ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Describing Methods 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: "Describing previously used methods".
Example Sentence: "Traditionally, X has been assessed by measuring ...". [/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"
}
] | Describing Methods | Indicating the methodology for the current research | Two of the most common methods for estimating X are the use of Y and the measurement of Z. | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Describing Methods 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 the methodology for the current research".
Example Sentence: "Two of the most common methods for estimating X are the use of Y and the measurement of Z.". [/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"
}
] | Describing Methods | Indicating the methodology for the current research | The present study utilises X to analyse … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Describing Methods 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 the methodology for the current research".
Example Sentence: "The present study utilises X to analyse …". [/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"
}
] | Describing Methods | Indicating the methodology for the current research | The current study adopts a case study approach. | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Describing Methods 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 the methodology for the current research".
Example Sentence: "The current study adopts a case study approach.". [/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"
}
] | Describing Methods | Indicating the methodology for the current research | A qualitative methodology is employed in this 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 Describing Methods 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 the methodology for the current research".
Example Sentence: "A qualitative methodology is employed in this 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"
}
] | Describing Methods | Giving reasons why a particular method was adopted | This study employs qualitative analysis and natural language processing 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 Describing Methods 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: "Giving reasons why a particular method was adopted".
Example Sentence: "This study employs qualitative analysis and natural language processing 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"
}
] | Describing Methods | Giving reasons why a particular method was adopted | A major advantage of X 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 Describing Methods 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: "Giving reasons why a particular method was adopted".
Example Sentence: "A major advantage of X 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"
}
] | Describing Methods | Giving reasons why a particular method was adopted | The benefit of this approach 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 Describing Methods 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: "Giving reasons why a particular method was adopted".
Example Sentence: "The benefit of this approach 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"
}
] | Describing Methods | Giving reasons why a particular method was adopted | The decision to use X was based 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 Describing Methods 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: "Giving reasons why a particular method was adopted".
Example Sentence: "The decision to use X was based 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"
}
] | Describing Methods | Referring to the literature to justify a method or approach | It was considered that quantitative measures would usefully supplement and extend 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 Describing Methods 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 to the literature to justify a method or approach ".
Example Sentence: "It was considered that quantitative measures would usefully supplement and extend 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"
}
] | Describing Methods | Referring to the literature to justify a method or approach | In a recent article, Smith (2009) argues that case studies offer … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Describing Methods 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 to the literature to justify a method or approach ".
Example Sentence: "In a recent article, Smith (2009) argues that case studies offer …". [/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"
}
] | Describing Methods | Referring to the literature to justify a method or approach | Smith (2020) has shown that this technique is very sensitive 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 Describing Methods 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 to the literature to justify a method or approach ".
Example Sentence: "Smith (2020) has shown that this technique is very sensitive 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"
}
] | Describing Methods | Referring to the literature to justify a method or approach | Smith et al. (1994) identify several advantages of the case 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 Describing Methods 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 to the literature to justify a method or approach ".
Example Sentence: "Smith et al. (1994) identify several advantages of the case 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"
}
] | Describing Methods | Indicating the use of an established method | Smith (2006) points out that there is a role for both qualitative and quantitative approaches 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 Describing Methods 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 the use of an established method".
Example Sentence: "Smith (2006) points out that there is a role for both qualitative and quantitative approaches 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"
}
] | Describing Methods | Indicating the use of an established method | The solution was then assayed for X using the Y method. | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Describing Methods 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 the use of an established method".
Example Sentence: "The solution was then assayed for X using the Y method.". [/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"
}
] | Describing Methods | Indicating the use of an established method | X was prepared according to the procedure used by Smith et al. (1990). | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Describing Methods 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 the use of an established method".
Example Sentence: "X was prepared according to the procedure used by Smith et al. (1990).". [/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"
}
] | Describing Methods | Indicating the use of an established method | X was synthesised using the same method that was detailed for Y, using ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Describing Methods 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 the use of an established method".
Example Sentence: "X was synthesised using the same method that was detailed for Y, using ...". [/INST] |
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