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{
"content": [
{
"image": "https://m.media-amazon.com/images/I/615VFP-yOCL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/516MKLfLtTL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/5184Ah4Xc2L.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
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],
"role": "user"
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{
"content": [
{
"image": null,
"text": "<entity_value_1> 12.5 inch </entity_value_1> \n<entity_value_2> 3.5 inch </entity_value_2> \n<entity_value_3> 29.0 centimetre </entity_value_3>",
"type": "text"
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],
"role": "assistant"
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[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/31t990sq7DL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/61+yoipYwhL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51gdNK+5fkL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 12.0 inch </entity_value_1> \n<entity_value_2> 8.0 foot </entity_value_2> \n<entity_value_3> 20.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51RqfFaPsvL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51BsPjUz52L.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51U1ovow+mL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 20.0 centimetre </entity_value_1> \n<entity_value_2> 15.0 centimetre </entity_value_2> \n<entity_value_3> 6.5 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/61EM4fVz0mL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51OpWSV1wdL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/615HlNNpv-L.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 36.0 centimetre </entity_value_1> \n<entity_value_2> 25.0 centimetre </entity_value_2> \n<entity_value_3> 2.0 inch </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/519tr3DSIcL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/513w-aMwoIL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51+CIsdfGBL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 340.0 millimetre </entity_value_1> \n<entity_value_2> 60.0 centimetre </entity_value_2> \n<entity_value_3> 200.0 millimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/61+hpBX3aKL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51-SPHgUEHL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/41qKqbHTYpL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 20.0 inch </entity_value_1> \n<entity_value_2> 5.3 inch </entity_value_2> \n<entity_value_3> 80.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51kdqU87+EL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/61-9KODvSYL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51PWWwU1OML.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 10.0 centimetre </entity_value_1> \n<entity_value_2> 60.0 centimetre </entity_value_2> \n<entity_value_3> 236.0 millimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51P59GPywhL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51pUSqfJvIL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/61+c3TRAJ6L.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 1.0 foot </entity_value_1> \n<entity_value_2> 114.0 centimetre </entity_value_2> \n<entity_value_3> 217.0 millimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/61Fi+juG7ML.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/514ZztHm9iL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51cznyA68HL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 109.0 millimetre </entity_value_1> \n<entity_value_2> 28.8 centimetre </entity_value_2> \n<entity_value_3> 120.0 inch </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51og2okQJYL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51qjVBBxwpL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51GjDrlbFRL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 39.37 inch </entity_value_1> \n<entity_value_2> 135.0 millimetre </entity_value_2> \n<entity_value_3> 20.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/516JwMldhCL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/41-vpgMv5iL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51MAzzEp-OL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 7.0 inch </entity_value_1> \n<entity_value_2> 22.0 centimetre </entity_value_2> \n<entity_value_3> 24.1 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51PIkV7QuVL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51OiSXRsa1L.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51bVTAUaShL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 130.0 millimetre </entity_value_1> \n<entity_value_2> 3.1 centimetre </entity_value_2> \n<entity_value_3> 100.0 inch </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/6102bggWyJL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51b6ANGMKHL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51kQhgUaInL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 0.8 metre </entity_value_1> \n<entity_value_2> 16.0 inch </entity_value_2> \n<entity_value_3> 5.8 inch </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/61DB-iIzLcL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51A-zNrUqIL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/415mnGOU+dL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 170.0 millimetre </entity_value_1> \n<entity_value_2> 70.0 millimetre </entity_value_2> \n<entity_value_3> 143.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51MbByZYAAL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/615M27OAE4L.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/611nup0+czS.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 31.0 centimetre </entity_value_1> \n<entity_value_2> 50.0 centimetre </entity_value_2> \n<entity_value_3> 72.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51BMJXjZqnL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/61-WUgj+SnL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51q2cJX5K2L.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 60.0 centimetre </entity_value_1> \n<entity_value_2> 7.8 inch </entity_value_2> \n<entity_value_3> 8.47 inch </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51Gu9k8ZD1L.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/613M7SVMz0L.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51t98bShFnL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 9.33 inch </entity_value_1> \n<entity_value_2> 25.0 millimetre </entity_value_2> \n<entity_value_3> 73.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51BWNYt5ZQL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/612dOckqpWL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/61B71ylOBaS.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 18.0 centimetre </entity_value_1> \n<entity_value_2> 40.0 millimetre </entity_value_2> \n<entity_value_3> 22.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/41aUj-KmicL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/510J8H1wxEL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/616Ixgg0z-L.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 108.0 centimetre </entity_value_1> \n<entity_value_2> 12.0 centimetre </entity_value_2> \n<entity_value_3> 12.38 inch </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51M3e3tx0WL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/615frCJLP+L.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/617UqbcUf1L.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 23.0 centimetre </entity_value_1> \n<entity_value_2> 15.0 centimetre </entity_value_2> \n<entity_value_3> 25.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51jWVYR6vgS.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/519xaDG6IWL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/610WFLMClXL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 33.0 centimetre </entity_value_1> \n<entity_value_2> 12.0 inch </entity_value_2> \n<entity_value_3> 60.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51wNQiKyYLL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/61AGwD9HuaL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/5111N5CTlgL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 32.0 millimetre </entity_value_1> \n<entity_value_2> 32.0 centimetre </entity_value_2> \n<entity_value_3> 350.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51gHSyZXF1L.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51t+bHAwyTL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/61Eq36TWMAL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 4.7 inch </entity_value_1> \n<entity_value_2> 4.0 centimetre </entity_value_2> \n<entity_value_3> 5.31 inch </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/613qs6ZXBwL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51mpq3Or2QS.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/611ZcmBG6SL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 4.0 inch </entity_value_1> \n<entity_value_2> 220.0 millimetre </entity_value_2> \n<entity_value_3> 23.8 inch </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51Bw3YCasDL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51S4kUOp8-L.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/61Bf7IX0q1L.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 16.5 centimetre </entity_value_1> \n<entity_value_2> 17.0 centimetre </entity_value_2> \n<entity_value_3> 34.0 millimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/515LmsNjo+L.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51LcvMYSFaS.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51YI1ua-t8L.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 1.18 inch </entity_value_1> \n<entity_value_2> 12.0 centimetre </entity_value_2> \n<entity_value_3> 30.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/6132kMVZlhL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51ao5hsFbjL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/617gm9BYCWL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 1.3 inch </entity_value_1> \n<entity_value_2> 90.0 centimetre </entity_value_2> \n<entity_value_3> 27.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51IJ4FlGdaL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/5135JExJ1pL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51h2EYdvTNL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 8.0 foot </entity_value_1> \n<entity_value_2> 3.0 inch </entity_value_2> \n<entity_value_3> 110.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51xzfoZm08L.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/61A19iE5PWL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51PC3YGjYML.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 3.54 inch </entity_value_1> \n<entity_value_2> 4.0 inch </entity_value_2> \n<entity_value_3> 10.0 foot </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/619XXMQ1KvL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51fPqErmxkL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51jDNgt6kRL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 30.0 inch </entity_value_1> \n<entity_value_2> 50.0 centimetre </entity_value_2> \n<entity_value_3> 28.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/6158tbYAJSL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/613U2PDuT7L.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51NkU44pqOL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 102.0 millimetre </entity_value_1> \n<entity_value_2> 16.0 inch </entity_value_2> \n<entity_value_3> 15.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51e0l0u1ciL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/61AAIwgTupL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/416xy3bxjJL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 7.48 inch </entity_value_1> \n<entity_value_2> 265.0 millimetre </entity_value_2> \n<entity_value_3> 24.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/610b9r1FThL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51IyfjNJG9L.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51EeMqUUtsL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 8.0 inch </entity_value_1> \n<entity_value_2> 60.0 centimetre </entity_value_2> \n<entity_value_3> 3.0 metre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51TESixCw2L.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/611KMXS0m4L.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/411htZlQ1AL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 19.5 centimetre </entity_value_1> \n<entity_value_2> 24.3 centimetre </entity_value_2> \n<entity_value_3> 28.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51Wr0Oiy1wL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/514+0D5mhVL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51k-Qs2xEcS.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 30.48 centimetre </entity_value_1> \n<entity_value_2> 18.3 centimetre </entity_value_2> \n<entity_value_3> 5.43 inch </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51vYcWu8cIL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/4151cP7vEqL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/513Y7mvCngL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 16.0 millimetre </entity_value_1> \n<entity_value_2> 330.0 millimetre </entity_value_2> \n<entity_value_3> 17.8 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/512aHDyqPuL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51m5XbrSE-L.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51KwwsD8NkL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 28.5 centimetre </entity_value_1> \n<entity_value_2> 23.0 centimetre </entity_value_2> \n<entity_value_3> 32.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/612gyXA-1GL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51Oqj+d1MhL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51ZygiS4+GL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 39.0 centimetre </entity_value_1> \n<entity_value_2> 8.5 centimetre </entity_value_2> \n<entity_value_3> 68.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/510OSY5mExL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51p5kcHmUxL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51o4RXOR8qS.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 14.0 centimetre </entity_value_1> \n<entity_value_2> 40.0 inch </entity_value_2> \n<entity_value_3> 23.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/41rNi+6P7qL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51HCpPt1wmL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/516cqljXXFL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 14.3 centimetre </entity_value_1> \n<entity_value_2> 3.5 inch </entity_value_2> \n<entity_value_3> 28.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51T+msUnjHL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/6140OHEruaL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51f-f7iW0WL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 8.0 centimetre </entity_value_1> \n<entity_value_2> 68.0 centimetre </entity_value_2> \n<entity_value_3> 50.3 inch </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51iTYueSCjL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/510gGzD2+BL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/41G563ueAjS.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 11.8 inch </entity_value_1> \n<entity_value_2> 60.0 inch </entity_value_2> \n<entity_value_3> 35.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/61DZsk8CbmL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51PToE2fisL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51pKU37ovaL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 16.0 centimetre </entity_value_1> \n<entity_value_2> 7.09 inch </entity_value_2> \n<entity_value_3> 22.0 millimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/615kmnhBuWL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/615wZGXvLfL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/61B-rTITDaL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 10.5 centimetre </entity_value_1> \n<entity_value_2> 26.0 inch </entity_value_2> \n<entity_value_3> 2.5 inch </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51S3QGkFdsL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/61-d8IAhRqL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51txCZluR-L.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 274.0 centimetre </entity_value_1> \n<entity_value_2> 21.0 centimetre </entity_value_2> \n<entity_value_3> 170.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51rR4gzPiVL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51wP0lM3HML.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/611vTaIKLlL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 30.0 centimetre </entity_value_1> \n<entity_value_2> 26.8 centimetre </entity_value_2> \n<entity_value_3> 12.0 inch </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/61+Ld4CINiL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51DDMPmGN9L.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/41g6LPJz5zL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 25.0 inch </entity_value_1> \n<entity_value_2> 5.5 inch </entity_value_2> \n<entity_value_3> 20.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51Y4VDghYGL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/6144oo1V+qL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51AzCWBsNqL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 10.0 millimetre </entity_value_1> \n<entity_value_2> 7.0 foot </entity_value_2> \n<entity_value_3> 30.5 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/61FOtogvsHL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/416pLt31P+L.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/611eBkqFfwL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 9.0 inch </entity_value_1> \n<entity_value_2> 14.0 inch </entity_value_2> \n<entity_value_3> 4.92 inch </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/615ORTSS1PL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51aomxMaWxL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51E-SQbs-JL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 13.0 inch </entity_value_1> \n<entity_value_2> 20.0 centimetre </entity_value_2> \n<entity_value_3> 90.0 millimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51uP57lHEFL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51CNXoPpoAL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51GLEbbrgOL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 28.0 inch </entity_value_1> \n<entity_value_2> 10.0 centimetre </entity_value_2> \n<entity_value_3> 36.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51UYyaT1+1L.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/41MZ48CeGXS.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51Feesy4hYL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 9.7 centimetre </entity_value_1> \n<entity_value_2> 31.5 centimetre </entity_value_2> \n<entity_value_3> 60.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51AVnmUI9PL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51ciaSzNMZL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/41NNdCUoD2L.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 16.5 centimetre </entity_value_1> \n<entity_value_2> 6.88 inch </entity_value_2> \n<entity_value_3> 34.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/61FGRrFQmCL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51x92a4blmL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51Rhj+wXrjL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 22.0 centimetre </entity_value_1> \n<entity_value_2> 24.0 centimetre </entity_value_2> \n<entity_value_3> 110.0 millimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51-E8bdVJUL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/61Eq2yj7-EL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51XtV2JX42L.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 24.0 centimetre </entity_value_1> \n<entity_value_2> 19.0 centimetre </entity_value_2> \n<entity_value_3> 610.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/61C90GuXqmL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/6158asvW7IL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/6132laOEKEL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 31.0 millimetre </entity_value_1> \n<entity_value_2> 31.5 inch </entity_value_2> \n<entity_value_3> 11.3 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/516IY9DbaWL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/613ATPoBHlL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51AmDnOOWCL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 65.0 millimetre </entity_value_1> \n<entity_value_2> 40.0 centimetre </entity_value_2> \n<entity_value_3> 182.88 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/513zHrlOvCL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/613zXEMkjWL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51qGBDkCZBL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 8.87 inch </entity_value_1> \n<entity_value_2> 7.5 inch </entity_value_2> \n<entity_value_3> 4.0 metre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51P6tH2FWML.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51r9J+QVe8L.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51uRjFuC1oL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 39.0 centimetre </entity_value_1> \n<entity_value_2> 300.0 centimetre </entity_value_2> \n<entity_value_3> 11.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51zyFI5U6oL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/61-T8Hc51FL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/611wql9NRML.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 5.3 inch </entity_value_1> \n<entity_value_2> 5.1 inch </entity_value_2> \n<entity_value_3> 114.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/513JC4UEQ2L.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/61DhOnFzbwL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/61CUW1EwrBL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 320.0 millimetre </entity_value_1> \n<entity_value_2> 60.0 inch </entity_value_2> \n<entity_value_3> 40.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/6176q2RHWIL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51u5MHg1GpL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/510IGlN+lCL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 160.0 millimetre </entity_value_1> \n<entity_value_2> 200.0 centimetre </entity_value_2> \n<entity_value_3> 200.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/619BEtATrhL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/515FO9SrbEL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51IIB4LJglL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 105.0 centimetre </entity_value_1> \n<entity_value_2> 110.0 millimetre </entity_value_2> \n<entity_value_3> 1.6 inch </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51nyHA9HEAL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51qxWnvwW+L.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/61BcIT9K88L.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 10.0 centimetre </entity_value_1> \n<entity_value_2> 230.0 millimetre </entity_value_2> \n<entity_value_3> 30.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51DixPqGB8L.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/41Z74Js+3AL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51tvCotQyHL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 9.5 centimetre </entity_value_1> \n<entity_value_2> 300.0 centimetre </entity_value_2> \n<entity_value_3> 26.77 inch </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51rw8ZYVwOL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/61DaCIJ4LZL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51JfXz+SeKL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 41.0 centimetre </entity_value_1> \n<entity_value_2> 2.0 inch </entity_value_2> \n<entity_value_3> 21.2 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/615kOqqorvL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51z0OdtMY2L.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/510fvkp5bcL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 26.0 inch </entity_value_1> \n<entity_value_2> 7.0 inch </entity_value_2> \n<entity_value_3> 26.0 millimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/5195gq1ZdLL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/614nPOK4pbL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/61+1FUfSzsL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 297.0 millimetre </entity_value_1> \n<entity_value_2> 15.0 centimetre </entity_value_2> \n<entity_value_3> 400.0 millimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51CC5keop5L.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51+lS-SmKSL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/612Ayt+e2uS.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 6.0 foot </entity_value_1> \n<entity_value_2> 68.0 inch </entity_value_2> \n<entity_value_3> 173.0 millimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/41DlbZ5FavL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51TQ5By323L.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/41q0PzRVm2L.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 24.4 inch </entity_value_1> \n<entity_value_2> 38.0 centimetre </entity_value_2> \n<entity_value_3> 300.0 millimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/6168Z3G+k-L.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51nRf5FE9yL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/614UYEn39HL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 70.86 inch </entity_value_1> \n<entity_value_2> 9.05 inch </entity_value_2> \n<entity_value_3> 7.3 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/41V2qAQJH7L.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51p250tb8UL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/619o-Z517BL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 21.5 centimetre </entity_value_1> \n<entity_value_2> 18.0 centimetre </entity_value_2> \n<entity_value_3> 30.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/41DRn5zLnlL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51sTzb1yUDS.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51zLtDznZoL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 6.75 inch </entity_value_1> \n<entity_value_2> 3.0 metre </entity_value_2> \n<entity_value_3> 29.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51RDdbjVnTL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51+P27UerHL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51POjcpUktL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 1.22 inch </entity_value_1> \n<entity_value_2> 45.0 millimetre </entity_value_2> \n<entity_value_3> 4.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/41I15rW4gJL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/61DRMNNhoyS.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/41fknFBoh6L.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 6.0 inch </entity_value_1> \n<entity_value_2> 50.0 centimetre </entity_value_2> \n<entity_value_3> 19.7 inch </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/615wNwXbN3L.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/41-7w1ArPCL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/515TULXw65L.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 140.0 centimetre </entity_value_1> \n<entity_value_2> 3.5 centimetre </entity_value_2> \n<entity_value_3> 80.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51mIIfBK1VL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51zfkmnGk8L.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/61AwgegkWJL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 15.0 centimetre </entity_value_1> \n<entity_value_2> 19.18 inch </entity_value_2> \n<entity_value_3> 200.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51DVJ+lpEZL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51zd4sRMwkL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/61-S+hbkLCL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 23.0 centimetre </entity_value_1> \n<entity_value_2> 15.0 inch </entity_value_2> \n<entity_value_3> 42.0 millimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51s4pkWOg7L.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51dQvPpot1L.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51EIVbWEIdL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 55.0 centimetre </entity_value_1> \n<entity_value_2> 605.0 millimetre </entity_value_2> \n<entity_value_3> 133.0 millimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/619uQgarm6L.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51NwTrSGGgL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/610OOZ-TKCL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 9.0 inch </entity_value_1> \n<entity_value_2> 43.0 centimetre </entity_value_2> \n<entity_value_3> 120.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/512oyO5M78S.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51XC2OXo77L.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51B8Uj+X6iL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 4.5 centimetre </entity_value_1> \n<entity_value_2> 4.0 inch </entity_value_2> \n<entity_value_3> 68.0 inch </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/61ExMhc8epL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51aj0rxEnCL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/61Axqx+t2hL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 155.0 millimetre </entity_value_1> \n<entity_value_2> 16.5 centimetre </entity_value_2> \n<entity_value_3> 210.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51PW5KmX9VL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51txjhKV2tL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51B2tP4QIUL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 70.0 millimetre </entity_value_1> \n<entity_value_2> 23.0 centimetre </entity_value_2> \n<entity_value_3> 10.6 inch </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51YufWe13dL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51QSfz6RpdL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/619d7P-OyML.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 70.0 centimetre </entity_value_1> \n<entity_value_2> 11.3 centimetre </entity_value_2> \n<entity_value_3> 60.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/41prBivaItL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51PNR0H5VAL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/41sun1-ahOL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 6.75 inch </entity_value_1> \n<entity_value_2> 45.0 millimetre </entity_value_2> \n<entity_value_3> 22.8 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/6123Djm8mrL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/617QUXdR1UL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/512ZVswoFqL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 3.0 metre </entity_value_1> \n<entity_value_2> 20.0 inch </entity_value_2> \n<entity_value_3> 73.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51dH04r9ozL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51oi75hxPgL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/6107LBLWdiL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 110.0 centimetre </entity_value_1> \n<entity_value_2> 135.0 centimetre </entity_value_2> \n<entity_value_3> 284.0 millimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51GV2HsbsEL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/617ziW52wHL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/513v3Wvz2gL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 21.0 centimetre </entity_value_1> \n<entity_value_2> 14.5 centimetre </entity_value_2> \n<entity_value_3> 22.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51H35gEYoLL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/614FCSPrmPL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/6130hOsKdQL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 2.59 inch </entity_value_1> \n<entity_value_2> 15.0 centimetre </entity_value_2> \n<entity_value_3> 7.1 inch </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/61D1jfF79yL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/417XrhHgmKS.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/617GhCX6sYL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 216.0 millimetre </entity_value_1> \n<entity_value_2> 65.0 millimetre </entity_value_2> \n<entity_value_3> 30.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/41cCGUSESZL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/61+KeoVctgL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/41Btqrqzf0L.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 100.0 millimetre </entity_value_1> \n<entity_value_2> 9.0 centimetre </entity_value_2> \n<entity_value_3> 15.7 inch </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51ze2DYhcwL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/6177NaDRdKL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/41etWytX59L.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 3.93 inch </entity_value_1> \n<entity_value_2> 150.0 centimetre </entity_value_2> \n<entity_value_3> 15.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/617xjvTixUL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/613nqscUyYL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51sNmCybKoL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 155.0 centimetre </entity_value_1> \n<entity_value_2> 300.0 millimetre </entity_value_2> \n<entity_value_3> 55.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/512e2uOOkcS.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51okuyjrobL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51+VBpnWdDL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 35.0 centimetre </entity_value_1> \n<entity_value_2> 12.0 centimetre </entity_value_2> \n<entity_value_3> 27.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/61BUFaqXonL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/515z5jmtv1L.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51rvl8wVx1L.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 448.0 millimetre </entity_value_1> \n<entity_value_2> 8.5 centimetre </entity_value_2> \n<entity_value_3> 165.0 millimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/611f+MbcmcL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/61EB3+bVLzL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/41PeQdf-MML.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 240.0 millimetre </entity_value_1> \n<entity_value_2> 16.0 inch </entity_value_2> \n<entity_value_3> 22.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/61GFmMena0L.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51-Ek8lmwWL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/416pssB-PdL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 360.0 centimetre </entity_value_1> \n<entity_value_2> 21.0 centimetre </entity_value_2> \n<entity_value_3> 36.2 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51MmKKmEjdL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/411zvWXlpQL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51iZbAUHvHL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 18.0 centimetre </entity_value_1> \n<entity_value_2> 500.0 millimetre </entity_value_2> \n<entity_value_3> 16.0 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/51h6cbckO1L.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/610GsaDbeWL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/612ex3VAw2L.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 40.0 centimetre </entity_value_1> \n<entity_value_2> 12.0 inch </entity_value_2> \n<entity_value_3> 220.0 millimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |
[
{
"content": [
{
"image": "https://m.media-amazon.com/images/I/61EAYj3nD+L.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/51k2qPfFFoL.jpg",
"text": null,
"type": "image"
},
{
"image": "https://m.media-amazon.com/images/I/41g+o4ah2CL.jpg",
"text": null,
"type": "image"
},
{
"image": null,
"text": "\n TASK: Extract a entity value of category given below from each image in the given order:\n 1. depth\n 2. depth\n 3. depth\n\n\n OUTPUT FORMAT, ENTITY VALUE FOR EACH IMAGE IN A NEW LINE IN ORDER SAME AS IMGAES:\n <entity_value_1> [value] [unit] </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> [value] [unit] </entity_value_3> \n \n\n Notes:\n Start entity value from a new line for each image. Strictly follow this.\n\n IF NO VALUE IS FOUND FOR ANY IMAGE, IN THIS EXAMPLE NO VALUE FOR IMAGE - 1 AND IMAGE 2:\n <entity_value_1> no_value </entity_value_1>\n <entity_value_2> [value] [unit] </entity_value_2>\n <entity_value_3> no_value </entity_value_3> \n\n\n RULES:\n 1. [value] should be a float number in standard formatting (e.g., 2.0, 3.14, 0.5, 10.0). Use decimal point for fractions\n 2. Extract only entity values related to the given entity category.\n 3. Use full unit names (e.g., \"gram\" not \"g\").\n 4. Output only entity values realted to given entity category.\n 5. Omit any additional text or explanations.\n\n VALID EXAMPLES:\n <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n INVALID EXAMPLES:\n 1. 2 gms \n 2. 60 ounce/1.7 kilogram \n 3. 2.2e2 kilogram \n\n ALLOWED ENTITIES AND UNITS:\n width: centimetre, foot, inch, metre, millimetre, yard\n depth: centimetre, foot, inch, metre, millimetre, yard\n height: centimetre, foot, inch, metre, millimetre, yard\n item_weight: gram, kilogram, microgram, milligram, ounce, pound, ton\n maximum_weight_recommendation: gram, kilogram, microgram, milligram, ounce, pound, ton\n voltage: kilovolt, millivolt, volt\n wattage: kilowatt, watt\n item_volume: centilitre, cubic foot, cubic inch, cup, decilitre, fluid ounce, gallon, imperial gallon, litre, microlitre, millilitre, pint, quart\n\n EXAMPLES:\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. wattage\n 3. item_weight\n Output: <entity_value> 1400.0 milligram </entity_value>\n <entity_value> 100.0 watt </entity_value>\n <entity_value> 1400.0 milligram </entity_value>\n\n\n Input: link 1\n link 2\n link 3\n Entity category: 1. item_weight\n 2. item_volume\n 3. voltage\n Output: <entity_value_1> 3.53 ounce </entity_value_1>\n <entity_value_2> 3.0 millilitre </entity_value_2>\n <entity_value_3> 7.0 volt </entity_value_3>\n\n Analyze the given image and extract one relevant entity value for each image following the above guidelines. Number of lines in output should be same as number of images.\n ",
"type": "text"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "<entity_value_1> 16.5 inch </entity_value_1> \n<entity_value_2> 15.0 inch </entity_value_2> \n<entity_value_3> 14.5 centimetre </entity_value_3>",
"type": "text"
}
],
"role": "assistant"
}
] |