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"coco/train2017/000000288161.jpg"
] | [
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"coco/train2017/000000093333.jpg",
"coco/train2017/000000336464.jpg",
"coco/train2017/000000071737.jpg",
"coco/train2017/000000524595.jpg"
] | a sink |
[
{
"from": "human",
"value": "For all images with a sink, do any of them have a bottle?"
},
{
"from": "gpt",
"value": "yes"
}
] | HSkphBUREsU7RVTzeUQKr3 | [
"coco/train2017/000000028506.jpg",
"coco/train2017/000000188421.jpg",
"coco/train2017/000000009236.jpg",
"coco/train2017/000000040414.jpg",
"coco/train2017/000000497002.jpg"
] | [
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"coco/train2017/000000067757.jpg",
"coco/val2017/000000332351.jpg",
"coco/train2017/000000036450.jpg"
] | a sink |
[
{
"from": "human",
"value": "For all images with a sink, do all of them have a bottle?"
},
{
"from": "gpt",
"value": "no"
}
] | 7cbRDwj6xiJazKgZBZptAX | [
"coco/train2017/000000230610.jpg",
"coco/train2017/000000459219.jpg",
"coco/train2017/000000450359.jpg",
"coco/train2017/000000441196.jpg",
"coco/train2017/000000047632.jpg"
] | [
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"coco/train2017/000000021198.jpg",
"coco/train2017/000000122997.jpg",
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] | a sink |
[
{
"from": "human",
"value": "For all images with a sink, do any of them have a bottle?"
},
{
"from": "gpt",
"value": "no"
}
] | k5tqFHkziXL3vC38dZnjYQ | [
"coco/train2017/000000045746.jpg",
"coco/train2017/000000229324.jpg"
] | [
"coco/train2017/000000013721.jpg",
"coco/train2017/000000113139.jpg",
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"coco/train2017/000000413235.jpg",
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"coco/train2017/000000027441.jpg",
"coco/train2017/000000490381.jpg",
"coco/val2017/000000498919.jpg"
] | a sink |
[
{
"from": "human",
"value": "For all images with a potted plant, do all of them have a chair?"
},
{
"from": "gpt",
"value": "yes"
}
] | GsTuj2MrvV8cMdhJsnhL5C | [
"coco/val2017/000000128148.jpg",
"coco/train2017/000000259952.jpg",
"coco/train2017/000000415432.jpg",
"coco/train2017/000000120535.jpg",
"coco/train2017/000000243600.jpg"
] | [
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"coco/train2017/000000134574.jpg",
"coco/train2017/000000523174.jpg",
"coco/val2017/000000171788.jpg",
"coco/train2017/000000106677.jpg"
] | a potted plant |
[
{
"from": "human",
"value": "For all images with a potted plant, do any of them have a chair?"
},
{
"from": "gpt",
"value": "yes"
}
] | LHYf8waoA9E4HRmT9Xdoho | [
"coco/train2017/000000241844.jpg",
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"coco/train2017/000000346140.jpg",
"coco/train2017/000000242427.jpg",
"coco/train2017/000000471842.jpg"
] | a potted plant |
[
{
"from": "human",
"value": "For all images with a potted plant, do all of them have a chair?"
},
{
"from": "gpt",
"value": "no"
}
] | 7Ts4hAkhM2C45RxNdke5D7 | [
"coco/val2017/000000386210.jpg",
"coco/train2017/000000553083.jpg",
"coco/train2017/000000050609.jpg"
] | [
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"coco/train2017/000000448923.jpg",
"coco/train2017/000000370038.jpg",
"coco/train2017/000000367429.jpg",
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] | a potted plant |
[
{
"from": "human",
"value": "For all images with a potted plant, do any of them have a chair?"
},
{
"from": "gpt",
"value": "no"
}
] | AabaJUuik9da8LFMUBDveq | [
"coco/train2017/000000084783.jpg",
"coco/val2017/000000159282.jpg",
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"coco/train2017/000000265069.jpg",
"coco/train2017/000000442681.jpg"
] | a potted plant |
[
{
"from": "human",
"value": "For all images with a bowl, do all of them have a chair?"
},
{
"from": "gpt",
"value": "yes"
}
] | WeWSBjoVcAqu2p2cKa55XK | [
"coco/train2017/000000253438.jpg",
"coco/train2017/000000387429.jpg"
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"coco/train2017/000000066960.jpg",
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"coco/val2017/000000213593.jpg",
"coco/train2017/000000001089.jpg",
"coco/val2017/000000408112.jpg"
] | a bowl |
[
{
"from": "human",
"value": "For all images with a bowl, do any of them have a chair?"
},
{
"from": "gpt",
"value": "yes"
}
] | 6w7jaFrsEY63aXKAhHRg8Z | [
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"coco/train2017/000000090753.jpg",
"coco/val2017/000000084241.jpg",
"coco/train2017/000000077980.jpg"
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"coco/train2017/000000283498.jpg",
"coco/train2017/000000502433.jpg",
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] | a bowl |
[
{
"from": "human",
"value": "For all images with a bowl, do all of them have a chair?"
},
{
"from": "gpt",
"value": "no"
}
] | PMrn788bm7DbdbVwvsGhht | [
"coco/train2017/000000526186.jpg",
"coco/val2017/000000136600.jpg",
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"coco/train2017/000000209180.jpg",
"coco/val2017/000000331604.jpg",
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] | a bowl |
[
{
"from": "human",
"value": "For all images with a bowl, do any of them have a chair?"
},
{
"from": "gpt",
"value": "no"
}
] | XRkUw3kymbKV7qLPTofFBY | [
"coco/train2017/000000509855.jpg",
"coco/val2017/000000462576.jpg"
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"coco/train2017/000000064531.jpg",
"coco/val2017/000000265777.jpg",
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] | a bowl |
[
{
"from": "human",
"value": "For all images with a cake, do all of them have a dining table?"
},
{
"from": "gpt",
"value": "yes"
}
] | jkSk6ktw5JbVtf9N4b2TKL | [
"coco/train2017/000000442214.jpg",
"coco/train2017/000000527060.jpg",
"coco/train2017/000000185559.jpg"
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"coco/train2017/000000160889.jpg",
"coco/train2017/000000527064.jpg",
"coco/train2017/000000527486.jpg",
"coco/train2017/000000398309.jpg"
] | a cake |
[
{
"from": "human",
"value": "For all images with a cake, do any of them have a dining table?"
},
{
"from": "gpt",
"value": "yes"
}
] | dEqWoLKkD8EVrwHkiymdFv | [
"coco/train2017/000000244586.jpg",
"coco/val2017/000000426329.jpg"
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"coco/train2017/000000194903.jpg",
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] | a cake |
[
{
"from": "human",
"value": "For all images with a cake, do all of them have a dining table?"
},
{
"from": "gpt",
"value": "no"
}
] | PZoQYqkFtw7BqcHqoPs7d9 | [
"coco/train2017/000000051376.jpg",
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"coco/train2017/000000530407.jpg",
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"coco/val2017/000000261535.jpg",
"coco/train2017/000000148591.jpg"
] | a cake |
[
{
"from": "human",
"value": "For all images with a cake, do any of them have a dining table?"
},
{
"from": "gpt",
"value": "no"
}
] | 8rK8qqu4jv7tpTHXhuuDr8 | [
"coco/val2017/000000109916.jpg",
"coco/train2017/000000333156.jpg",
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] | [
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"coco/train2017/000000390585.jpg",
"coco/train2017/000000578675.jpg",
"coco/train2017/000000527828.jpg"
] | a cake |
[
{
"from": "human",
"value": "For all images with a knife, do all of them have a bowl?"
},
{
"from": "gpt",
"value": "yes"
}
] | bNzsgDtezMQDWjncjmXZhh | [
"coco/train2017/000000234238.jpg",
"coco/train2017/000000208740.jpg"
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"coco/train2017/000000096804.jpg",
"coco/train2017/000000284028.jpg"
] | a knife |
[
{
"from": "human",
"value": "For all images with a knife, do any of them have a bowl?"
},
{
"from": "gpt",
"value": "yes"
}
] | Qwzo6JogjXcaZGVjSKup8y | [
"coco/train2017/000000011360.jpg",
"coco/train2017/000000040986.jpg"
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"coco/train2017/000000505240.jpg",
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"coco/train2017/000000105683.jpg",
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] | a knife |
[
{
"from": "human",
"value": "For all images with a knife, do all of them have a bowl?"
},
{
"from": "gpt",
"value": "no"
}
] | BUTiP5NHhX99eTQcSeaRFP | [
"coco/train2017/000000006189.jpg",
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"coco/train2017/000000386929.jpg",
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"coco/train2017/000000092826.jpg",
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] | a knife |
[
{
"from": "human",
"value": "For all images with a knife, do any of them have a bowl?"
},
{
"from": "gpt",
"value": "no"
}
] | kYzcxuQew8cQA27Xo6cKic | [
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"coco/train2017/000000290819.jpg",
"coco/train2017/000000003192.jpg",
"coco/train2017/000000356337.jpg",
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] | [
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"coco/train2017/000000505739.jpg",
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] | a knife |
[
{
"from": "human",
"value": "For all images with a tv, do all of them have a book?"
},
{
"from": "gpt",
"value": "yes"
}
] | G46nHCW5sysZXkeTZzBZpo | [
"coco/train2017/000000160498.jpg",
"coco/train2017/000000572495.jpg",
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] | [
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] | a tv |
[
{
"from": "human",
"value": "For all images with a tv, do any of them have a book?"
},
{
"from": "gpt",
"value": "yes"
}
] | GwBpsR6mzG77ukNrKJi4mj | [
"coco/train2017/000000151704.jpg",
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"coco/train2017/000000033717.jpg",
"coco/train2017/000000180274.jpg",
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] | a tv |
[
{
"from": "human",
"value": "For all images with a tv, do all of them have a book?"
},
{
"from": "gpt",
"value": "no"
}
] | hbPNDsg2np7BTjXSuvbXry | [
"coco/train2017/000000500118.jpg",
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] | [
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"coco/train2017/000000295006.jpg",
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] | a tv |
[
{
"from": "human",
"value": "For all images with a tv, do any of them have a book?"
},
{
"from": "gpt",
"value": "no"
}
] | SCPpatkv7cQENpRMR3aHUt | [
"coco/train2017/000000387482.jpg",
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"coco/train2017/000000282251.jpg",
"coco/train2017/000000460022.jpg",
"coco/train2017/000000026768.jpg"
] | a tv |
[
{
"from": "human",
"value": "For all images with a knife, do all of them have a bottle?"
},
{
"from": "gpt",
"value": "yes"
}
] | nVfF5WwAoUZWxQPEWedxjL | [
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"coco/train2017/000000076384.jpg",
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] | [
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"coco/train2017/000000237060.jpg",
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] | a knife |
[
{
"from": "human",
"value": "For all images with a knife, do any of them have a bottle?"
},
{
"from": "gpt",
"value": "yes"
}
] | aDFduwNabibTtNFSua72wq | [
"coco/train2017/000000356337.jpg",
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"coco/train2017/000000576253.jpg",
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"coco/train2017/000000197245.jpg"
] | a knife |
[
{
"from": "human",
"value": "For all images with a knife, do all of them have a bottle?"
},
{
"from": "gpt",
"value": "no"
}
] | AksTJX7Xjq88RDDf23LRn2 | [
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"coco/train2017/000000217329.jpg",
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] | [
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"coco/train2017/000000144836.jpg",
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] | a knife |
[
{
"from": "human",
"value": "For all images with a knife, do any of them have a bottle?"
},
{
"from": "gpt",
"value": "no"
}
] | mG7EfE5jLHdoktukuyXb4u | [
"coco/train2017/000000054870.jpg",
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] | [
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"coco/train2017/000000245971.jpg",
"coco/train2017/000000577212.jpg",
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] | a knife |
[
{
"from": "human",
"value": "For all images with a handbag, do all of them have a car?"
},
{
"from": "gpt",
"value": "yes"
}
] | hdoeek5jzX8q92YC7pBSZV | [
"coco/train2017/000000162561.jpg",
"coco/train2017/000000191758.jpg",
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] | [
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"coco/train2017/000000313321.jpg",
"coco/val2017/000000393469.jpg",
"coco/train2017/000000281296.jpg",
"coco/val2017/000000394510.jpg"
] | a handbag |
[
{
"from": "human",
"value": "For all images with a handbag, do any of them have a car?"
},
{
"from": "gpt",
"value": "yes"
}
] | 5B6wPKHKkoK7ZA3t2bFMXa | [
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] | [
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"coco/train2017/000000218811.jpg",
"coco/val2017/000000322574.jpg",
"coco/train2017/000000217181.jpg"
] | a handbag |
[
{
"from": "human",
"value": "For all images with a handbag, do all of them have a car?"
},
{
"from": "gpt",
"value": "no"
}
] | Xik5MjFmkXbVF72RAAEvxC | [
"coco/train2017/000000176374.jpg",
"coco/train2017/000000316063.jpg",
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] | [
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"coco/train2017/000000554302.jpg",
"coco/train2017/000000152340.jpg",
"coco/train2017/000000315948.jpg"
] | a handbag |
[
{
"from": "human",
"value": "For all images with a handbag, do any of them have a car?"
},
{
"from": "gpt",
"value": "no"
}
] | h6EiuVQtPrsYh8eq8Jg83S | [
"coco/val2017/000000512836.jpg",
"coco/train2017/000000434689.jpg",
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] | [
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"coco/train2017/000000161124.jpg",
"coco/train2017/000000447927.jpg",
"coco/train2017/000000428375.jpg"
] | a handbag |
[
{
"from": "human",
"value": "For all images with a potted plant, do all of them have a dining table?"
},
{
"from": "gpt",
"value": "yes"
}
] | ELzFkdqk94DFWkYXFzrVn3 | [
"coco/train2017/000000282711.jpg",
"coco/train2017/000000008922.jpg",
"coco/val2017/000000029596.jpg"
] | [
"coco/train2017/000000228350.jpg",
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[
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"value": "yes"
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"coco/train2017/000000102330.jpg",
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] | a potted plant |
[
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"value": "For all images with a potted plant, do all of them have a dining table?"
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{
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"value": "no"
}
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"coco/val2017/000000099810.jpg",
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] | a potted plant |
[
{
"from": "human",
"value": "For all images with a potted plant, do any of them have a dining table?"
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{
"from": "gpt",
"value": "no"
}
] | LBjuKoo8YcjpxAqNTtz7Dj | [
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"coco/train2017/000000170365.jpg",
"coco/train2017/000000501824.jpg"
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"coco/val2017/000000173371.jpg",
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] | a potted plant |
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Visual Haystacks Dataset Card
Dataset details
Dataset type: Visual Haystacks (VHs) is a benchmark dataset specifically designed to evaluate the Large Multimodal Model's (LMM's) capability to handle long-context visual information. It can also be viewed as the first visual-centric Needle-In-A-Haystack (NIAH) benchmark dataset. Please also download COCO-2017's training set validation set.
Data Preparation and Benchmarking
- Download the VQA questions:
huggingface-cli download --repo-type dataset tsunghanwu/visual_haystacks --local-dir dataset/VHs_qa - Download the COCO 2017 dataset and organize it as follows, with the default root directory ./dataset/coco:
dataset/ ├── coco │ ├── annotations │ ├── test2017 │ └── val2017 └── VHs_qa ├── VHs_full │ ├── multi_needle │ └── single_needle └── VHs_small ├── multi_needle └── single_needle - Follow the instructions in https://github.com/visual-haystacks/vhs_benchmark to run the evaluation
- Please check out our project page for more information. You can also send questions or comments about the model to our github repo
Intended use
Primary intended uses: The primary use of VHs is research on large multimodal models and chatbots.
Primary intended users: The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.
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