{
  "model": "gpt-6-astra",
  "selection": "38 illustrative examples: two completed predictions for each of the 10 VSI and 9 VSTI raw question subtypes. Each pair contains one full-credit and one lower-scoring answer. Existing examples are retained; additional cached examples favor shorter clips and different scenes within a pair. This purposive selection is not an estimate of aggregate performance.",
  "frameNote": "Every sampled input frame is retained in its original order. Display copies are resized to a maximum width of 960px and encoded as WebP; source image hashes identify the original cached inputs.",
  "sources": {
    "vsi": {
      "url": "https://huggingface.co/datasets/nyu-visionx/VSI-Bench",
      "revision": "bdcadb3fea447621a828a24911801faba3587c12"
    },
    "vsti": {
      "url": "https://huggingface.co/datasets/Journey9ni/vstibench",
      "revision": "0903eb0b0c9d03da730d43503c48302a1f3b412d"
    }
  },
  "cases": [
    {
      "id": "vsi-4587",
      "sampleId": "4587",
      "benchmark": "vsi",
      "scene": "scene0221_01",
      "sourceDataset": "ScanNet",
      "title": "Counting objects in a room",
      "zhTitle": "数一数房间里的物体",
      "task": "Object counting",
      "zhTask": "物体数量",
      "questionType": "object_counting",
      "example": 1,
      "question": "How many bed(s) are in this room?",
      "options": [],
      "numeric": true,
      "benchmarkAnswer": "2",
      "astraAnswer": "2",
      "response": "2",
      "score": 1,
      "metric": "MRA",
      "outcome": "correct",
      "referencedFrames": [],
      "frameCount": 33,
      "frames": [
        {
          "src": "/blog/astra-spatial-intelligence/cases/vsi-scene0221_01/frame-001.webp",
          "width": 640,
          "height": 480,
          "sourceSha256": "01a4449a65e5b06dc63cc538c45816fd17051d11965ebbe6d08a0b496681999c",
          "index": 1,
          "timestamp": 0
        },
        {
          "src": "/blog/astra-spatial-intelligence/cases/vsi-scene0221_01/frame-002.webp",
          "width": 640,
          "height": 480,
          "sourceSha256": "b9d19dfda72dabd291e213e6b892fe1d9cb1755b0e1c8b00c4543e30e9f052b9",
          "index": 2,
          "timestamp": 1
        },
        {
          "src": "/blog/astra-spatial-intelligence/cases/vsi-scene0221_01/frame-003.webp",
          "width": 640,
          "height": 480,
          "sourceSha256": "c95cb435cf367e8d31a660b70988aa532cb6f1d66d99c4ab87968c02e0d4a7aa",
          "index": 3,
          "timestamp": 2
        },
        {
          "src": "/blog/astra-spatial-intelligence/cases/vsi-scene0221_01/frame-004.webp",
          "width": 640,
          "height": 480,
          "sourceSha256": "6ce6735fabe006295ee898cc602d3f52976bc155eeb3dee5898403e113579dd2",
          "index": 4,
          "timestamp": 3
        },
        {
          "src": "/blog/astra-spatial-intelligence/cases/vsi-scene0221_01/frame-005.webp",
          "width": 640,
          "height": 480,
          "sourceSha256": "abd0648b2e6b5c0beb30f6eda1af0c764904600e85946069ef17d0e83fa90835",
          "index": 5,
          "timestamp": 4
        },
        {
          "src": "/blog/astra-spatial-intelligence/cases/vsi-scene0221_01/frame-006.webp",
          "width": 640,
          "height": 480,
          "sourceSha256": "2451a91899b8bdd6e7c295b2135c296d6298d91b43a7d340099300a5a7b596d5",
          "index": 6,
          "timestamp": 5
        },
        {
          "src": "/blog/astra-spatial-intelligence/cases/vsi-scene0221_01/frame-007.webp",
          "width": 640,
          "height": 480,
          "sourceSha256": "fe267ecbd681c50130d1f275520b8def7a65f158d1aad1e083b0930b0a0b580e",
          "index": 7,
          "timestamp": 6
        },
        {
          "src": "/blog/astra-spatial-intelligence/cases/vsi-scene0221_01/frame-008.webp",
          "width": 640,
          "height": 480,
          "sourceSha256": "0349b188753bb4df21cc3b2da8b13c144849ed1f5b7659aa08cc52427eeed251",
          "index": 8,
          "timestamp": 7
        },
        {
          "src": "/blog/astra-spatial-intelligence/cases/vsi-scene0221_01/frame-009.webp",
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          "height": 480,
          "sourceSha256": "ac60aa4f1fb9676bb0a8aaabc5e4d454d1dafc628b72d4475931389e785a07e8",
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          "timestamp": 8
        },
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          "width": 640,
          "height": 480,
          "sourceSha256": "f5255880399451fc9b716b85d1290173cfcf3dfdb8b637e0764f2be524a3e5c7",
          "index": 10,
          "timestamp": 9
        },
        {
          "src": "/blog/astra-spatial-intelligence/cases/vsi-scene0221_01/frame-011.webp",
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          "height": 480,
          "sourceSha256": "e71eb29bce39542920bbc29e4f7c653b17d0c053c378c52ffe7d0d24b8260484",
          "index": 11,
          "timestamp": 10
        },
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          "src": "/blog/astra-spatial-intelligence/cases/vsi-scene0221_01/frame-012.webp",
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          "height": 480,
          "sourceSha256": "26d64daddf5aa5759144c765c378e9c2507bf9918a95cf55899dc513b1fc5763",
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          "timestamp": 28
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          "index": 30,
          "timestamp": 29
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          "index": 31,
          "timestamp": 30
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          "index": 32,
          "timestamp": 31
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      ],
      "initialFrame": 17
    },
    {
      "id": "vsi-4570",
      "sampleId": "4570",
      "benchmark": "vsi",
      "scene": "scene0153_00",
      "sourceDataset": "ScanNet",
      "title": "Counting objects in a room",
      "zhTitle": "数一数房间里的物体",
      "task": "Object counting",
      "zhTask": "物体数量",
      "questionType": "object_counting",
      "example": 2,
      "question": "How many towel(s) are in this room?",
      "options": [],
      "numeric": true,
      "benchmarkAnswer": "3",
      "astraAnswer": "4",
      "response": "4",
      "score": 0.4,
      "metric": "MRA",
      "outcome": "partial",
      "referencedFrames": [],
      "frameCount": 25,
      "frames": [
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          "src": "/blog/astra-spatial-intelligence/cases/vsi-scene0153_00/frame-001.webp",
          "width": 640,
          "height": 480,
          "sourceSha256": "5a067a73125add105de843737c7cfb4954c9e245fd447f5239c5e2e6d1d343de",
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          "timestamp": 0
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          "index": 4,
          "timestamp": 3
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          "timestamp": 9
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          "width": 640,
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          "timestamp": 20
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          "width": 640,
          "height": 480,
          "sourceSha256": "9ebbdb7b4b886a3eb63249324b04352facbb89302671cf8a93702696cb08307e",
          "index": 22,
          "timestamp": 21
        },
        {
          "src": "/blog/astra-spatial-intelligence/cases/vsi-scene0153_00/frame-023.webp",
          "width": 640,
          "height": 480,
          "sourceSha256": "2f7e84ac689856fd753d46ecd5399444a9e799b361d6103ccae2785f3c4061fd",
          "index": 23,
          "timestamp": 22
        },
        {
          "src": "/blog/astra-spatial-intelligence/cases/vsi-scene0153_00/frame-024.webp",
          "width": 640,
          "height": 480,
          "sourceSha256": "ec73db405af092b9f63bc315b81517f188d836a8bbd568cab816339673fe7977",
          "index": 24,
          "timestamp": 23
        },
        {
          "src": "/blog/astra-spatial-intelligence/cases/vsi-scene0153_00/frame-025.webp",
          "width": 640,
          "height": 480,
          "sourceSha256": "f6cab448f4b9c680f799f6389a809f4dd5b453cfd7044d2948804ca97cc843bb",
          "index": 25,
          "timestamp": 24
        }
      ],
      "initialFrame": 13
    },
    {
      "id": "vsi-4716",
      "sampleId": "4716",
      "benchmark": "vsi",
      "scene": "scene0658_00",
      "sourceDataset": "ScanNet",
      "title": "How far apart are the objects?",
      "zhTitle": "两个物体相隔多远？",
      "task": "Absolute distance",
      "zhTask": "绝对距离",
      "questionType": "object_abs_distance",
      "example": 1,
      "question": "Measuring from the closest point of each object, what is the distance between the chair and the bed (in meters)?",
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      "title": "How far did the camera move?",
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      "task": "Camera displacement",
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}