Add multimodal Jev vision config
Browse files- README.md +8 -8
- vision/build-manifest.json +0 -1356
- vision/quality-audit.json +0 -1761
- vision/release-audit.json +0 -73
- vision/sources.yaml +0 -238
- vision/test-00000-of-00001.parquet +2 -2
- vision/{train-00000-of-00008.parquet → train-00000-of-00036.parquet} +2 -2
- vision/{train-00001-of-00008.parquet → train-00001-of-00036.parquet} +2 -2
- vision/{train-00002-of-00008.parquet → train-00002-of-00036.parquet} +2 -2
- vision/{train-00003-of-00008.parquet → train-00003-of-00036.parquet} +2 -2
- vision/train-00004-of-00008.parquet +0 -3
- vision/train-00004-of-00036.parquet +3 -0
- vision/train-00005-of-00008.parquet +0 -3
- vision/train-00005-of-00036.parquet +3 -0
- vision/train-00006-of-00008.parquet +0 -3
- vision/train-00006-of-00036.parquet +3 -0
- vision/train-00007-of-00008.parquet +0 -3
- vision/train-00007-of-00036.parquet +3 -0
- vision/train-00008-of-00036.parquet +3 -0
- vision/train-00009-of-00036.parquet +3 -0
- vision/train-00010-of-00036.parquet +3 -0
- vision/train-00011-of-00036.parquet +3 -0
- vision/train-00012-of-00036.parquet +3 -0
- vision/train-00013-of-00036.parquet +3 -0
- vision/train-00014-of-00036.parquet +3 -0
- vision/train-00015-of-00036.parquet +3 -0
- vision/train-00016-of-00036.parquet +3 -0
- vision/train-00017-of-00036.parquet +3 -0
- vision/train-00018-of-00036.parquet +3 -0
- vision/train-00019-of-00036.parquet +3 -0
- vision/train-00020-of-00036.parquet +3 -0
- vision/train-00021-of-00036.parquet +3 -0
- vision/train-00022-of-00036.parquet +3 -0
- vision/train-00023-of-00036.parquet +3 -0
- vision/train-00024-of-00036.parquet +3 -0
- vision/train-00025-of-00036.parquet +3 -0
- vision/train-00026-of-00036.parquet +3 -0
- vision/train-00027-of-00036.parquet +3 -0
- vision/train-00028-of-00036.parquet +3 -0
- vision/train-00029-of-00036.parquet +3 -0
- vision/train-00030-of-00036.parquet +3 -0
- vision/train-00031-of-00036.parquet +3 -0
- vision/train-00032-of-00036.parquet +3 -0
- vision/train-00033-of-00036.parquet +3 -0
- vision/train-00034-of-00036.parquet +3 -0
- vision/train-00035-of-00036.parquet +3 -0
- vision/validation-00000-of-00001.parquet +2 -2
README.md
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@@ -202,16 +202,16 @@ dataset_info:
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dtype: string
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splits:
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- name: train
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num_bytes:
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num_examples:
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- name: test
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num_bytes:
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num_examples:
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- name: validation
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num_bytes:
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num_examples:
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download_size:
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dataset_size:
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---
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# tasksource-jev-typed-decisions
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dtype: string
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splits:
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- name: train
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num_bytes: 9009304964
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num_examples: 60097
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- name: test
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num_bytes: 25982892
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num_examples: 175
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- name: validation
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num_bytes: 45343503
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num_examples: 375
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download_size: 9038573018
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dataset_size: 9080631359
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---
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# tasksource-jev-typed-decisions
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vision/build-manifest.json
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{
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"card": "dataset_cards/tasksource-jev.md",
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"tasks": [
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"tqa",
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"intergps",
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"vsr/yesno",
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"ai2d",
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"figureqa",
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"rico-widget/grid7",
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"rico-widget/element",
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"visual7w",
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"clevr/yesno",
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"mapqa/yesno",
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"clevr/color",
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"clevr/shape",
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"clevr/size",
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"clevr/material",
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"clevr/count",
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"tallyqa/count",
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"nlvr2",
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"aokvqa",
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"scienceqa-img"
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},
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"selected_sources": [
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"vision/nlvr2",
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"vision/aokvqa",
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"vision/scienceqa-img",
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"vision/ai2d",
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"vision/figureqa",
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"vision/visual7w",
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"vision/clevr/yesno",
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"vision/mapqa/yesno",
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"vision/tqa",
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"vision/clevr/color",
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"vision/clevr/shape",
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"vision/clevr/size",
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"vision/clevr/material",
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"vision/intergps",
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"vision/clevr/count",
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"vision/tallyqa/count",
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"vision/vsr/yesno",
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"vision/rico-widget/grid7",
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"vision/rico-widget/element"
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],
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"sampling": "uniform reservoir over complete eligible source splits; deterministic shared family caps, round-robin task views, whole decision groups",
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"excluded_sources": [
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"osunlp/Multimodal-Mind2Web",
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"tasksource/multimodal-mind2web"
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],
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"fingerprint": "b99c60d10e42abe8",
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"?? scripts/inspect_jev_exclusions.py",
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"card": "dataset_cards/tasksource-jev.md",
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"selected_sources": [
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"sampling": "Deterministic subset of a prior validated source sample; no new prefix sampling.",
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"sampling": "Deterministic subset of a prior validated source sample; no new prefix sampling.",
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"fingerprint": "b99c60d10e42abe8",
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"working_tree_changes": [
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" M scripts/build_jev_dataset.py",
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| 281 |
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" M tests/test_vision.py",
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| 282 |
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"?? scripts/inspect_jev_exclusions.py",
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"?? tests/test_exclusion_inspection.py"
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| 1344 |
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"orchestration_sha256": "608d98395b5f147e591af6aa8fb557cf1ba291b03e36dca328fbbe1eef0dda10",
|
| 1345 |
-
"source_build": {
|
| 1346 |
-
"directory": "build/vision-expanded-1000",
|
| 1347 |
-
"git_commit": "852adca7d6e3fa9a04f73834cc5472846fbf25b2",
|
| 1348 |
-
"hub_revision": "f5f61df425637f15fa8ef4ce26d7dcbf9f4be0ce",
|
| 1349 |
-
"fingerprint": "776920e8b4bf6176"
|
| 1350 |
-
},
|
| 1351 |
-
"export_git_commit": "b1548131bf57166d68c0a491cf71cb58ff3af54c",
|
| 1352 |
-
"family_caps": {
|
| 1353 |
-
"train": 1000,
|
| 1354 |
-
"evaluation": 100
|
| 1355 |
-
}
|
| 1356 |
-
}
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|
vision/quality-audit.json
DELETED
|
@@ -1,1761 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"scope": "Automated structural and image-decoding checks over the materialized Jev vision config.",
|
| 3 |
-
"manual_review": "The emitted sample rows must be opened with their images to judge visual answerability.",
|
| 4 |
-
"splits": {
|
| 5 |
-
"train": {
|
| 6 |
-
"rows": 18997,
|
| 7 |
-
"decoded_images": 19997
|
| 8 |
-
},
|
| 9 |
-
"test": {
|
| 10 |
-
"rows": 285,
|
| 11 |
-
"decoded_images": 285
|
| 12 |
-
},
|
| 13 |
-
"validation": {
|
| 14 |
-
"rows": 480,
|
| 15 |
-
"decoded_images": 580
|
| 16 |
-
}
|
| 17 |
-
},
|
| 18 |
-
"sources": {
|
| 19 |
-
"vision/clevr/yesno": {
|
| 20 |
-
"train": 1000
|
| 21 |
-
},
|
| 22 |
-
"vision/clevr/shape": {
|
| 23 |
-
"train": 1000
|
| 24 |
-
},
|
| 25 |
-
"vision/clevr/material": {
|
| 26 |
-
"train": 1000
|
| 27 |
-
},
|
| 28 |
-
"vision/scienceqa-img": {
|
| 29 |
-
"train": 1000,
|
| 30 |
-
"test": 85,
|
| 31 |
-
"validation": 81
|
| 32 |
-
},
|
| 33 |
-
"vision/nlvr2": {
|
| 34 |
-
"train": 1000,
|
| 35 |
-
"validation": 100
|
| 36 |
-
},
|
| 37 |
-
"vision/figureqa": {
|
| 38 |
-
"train": 1000
|
| 39 |
-
},
|
| 40 |
-
"vision/ai2d": {
|
| 41 |
-
"train": 1000
|
| 42 |
-
},
|
| 43 |
-
"vision/mapqa/yesno": {
|
| 44 |
-
"train": 1000
|
| 45 |
-
},
|
| 46 |
-
"vision/clevr/color": {
|
| 47 |
-
"train": 1000
|
| 48 |
-
},
|
| 49 |
-
"vision/clevr/count": {
|
| 50 |
-
"train": 1000
|
| 51 |
-
},
|
| 52 |
-
"vision/tqa": {
|
| 53 |
-
"train": 1000
|
| 54 |
-
},
|
| 55 |
-
"vision/visual7w": {
|
| 56 |
-
"train": 1000
|
| 57 |
-
},
|
| 58 |
-
"vision/tallyqa/count": {
|
| 59 |
-
"train": 1000
|
| 60 |
-
},
|
| 61 |
-
"vision/intergps": {
|
| 62 |
-
"train": 1000
|
| 63 |
-
},
|
| 64 |
-
"vision/rico-widget/element": {
|
| 65 |
-
"train": 1000,
|
| 66 |
-
"test": 100,
|
| 67 |
-
"validation": 100
|
| 68 |
-
},
|
| 69 |
-
"vision/vsr/yesno": {
|
| 70 |
-
"train": 1000
|
| 71 |
-
},
|
| 72 |
-
"vision/aokvqa": {
|
| 73 |
-
"train": 997,
|
| 74 |
-
"validation": 99
|
| 75 |
-
},
|
| 76 |
-
"vision/clevr/size": {
|
| 77 |
-
"train": 1000
|
| 78 |
-
},
|
| 79 |
-
"vision/rico-widget/grid7": {
|
| 80 |
-
"train": 1000,
|
| 81 |
-
"test": 100,
|
| 82 |
-
"validation": 100
|
| 83 |
-
}
|
| 84 |
-
},
|
| 85 |
-
"sample_rows": [
|
| 86 |
-
{
|
| 87 |
-
"split": "train",
|
| 88 |
-
"source": "vision/clevr/yesno",
|
| 89 |
-
"state": "There is a tiny yellow matte object in front of the blue block; does it have the same shape as the brown rubber thing left of the tiny green matte sphere?\nYour answer should be very brief.",
|
| 90 |
-
"question": "Choose the criterion that best describes the state.",
|
| 91 |
-
"options": [
|
| 92 |
-
"No",
|
| 93 |
-
"Yes"
|
| 94 |
-
],
|
| 95 |
-
"target": [
|
| 96 |
-
0.0,
|
| 97 |
-
1.0
|
| 98 |
-
],
|
| 99 |
-
"image_sha256": [
|
| 100 |
-
"f1a1e2d61025b6d0bd664e6c642bdbe4450805878833af1dbede0de52f5dd810"
|
| 101 |
-
],
|
| 102 |
-
"image_group_id": "b768952f299d8fe94a9b27f68bb4e83f402834157dff536c3650c1349db4976c",
|
| 103 |
-
"manual_review": "pending"
|
| 104 |
-
},
|
| 105 |
-
{
|
| 106 |
-
"split": "train",
|
| 107 |
-
"source": "vision/clevr/shape",
|
| 108 |
-
"state": "What shape is the large thing that is both to the left of the big cyan matte thing and behind the small blue block?\nOffer a terse response.",
|
| 109 |
-
"question": "Choose the criterion that best describes the state.",
|
| 110 |
-
"options": [
|
| 111 |
-
"cube",
|
| 112 |
-
"sphere",
|
| 113 |
-
"cylinder"
|
| 114 |
-
],
|
| 115 |
-
"target": [
|
| 116 |
-
0.0,
|
| 117 |
-
0.0,
|
| 118 |
-
1.0
|
| 119 |
-
],
|
| 120 |
-
"image_sha256": [
|
| 121 |
-
"97bfbf2c2f2513ecff022a2517a4aab9cc037d17d0225c53b936a34112374d02"
|
| 122 |
-
],
|
| 123 |
-
"image_group_id": "c7ee10793b3a07b643a9a11a54afc22aaf9a424ca0bb74c90cad7190f632bb5d",
|
| 124 |
-
"manual_review": "pending"
|
| 125 |
-
},
|
| 126 |
-
{
|
| 127 |
-
"split": "train",
|
| 128 |
-
"source": "vision/clevr/material",
|
| 129 |
-
"state": "What is the material of the other tiny object that is the same color as the rubber thing?\nOffer a very short reply.",
|
| 130 |
-
"question": "Choose the criterion that best describes the state.",
|
| 131 |
-
"options": [
|
| 132 |
-
"rubber",
|
| 133 |
-
"metal"
|
| 134 |
-
],
|
| 135 |
-
"target": [
|
| 136 |
-
0.0,
|
| 137 |
-
1.0
|
| 138 |
-
],
|
| 139 |
-
"image_sha256": [
|
| 140 |
-
"8b6b5f1a5810ac572ae0ce546fed4bba78e7c1ab98863dd1e8fc5b8e6ab4ab98"
|
| 141 |
-
],
|
| 142 |
-
"image_group_id": "12828ae9187e330b4ca0ab4c3c41a54a8784b008c33ad045072b2cbf867bc812",
|
| 143 |
-
"manual_review": "pending"
|
| 144 |
-
},
|
| 145 |
-
{
|
| 146 |
-
"split": "train",
|
| 147 |
-
"source": "vision/scienceqa-img",
|
| 148 |
-
"state": "Arctic wolves live in the Canadian Arctic and Greenland. The 's skin is adapted to help the animal survive in cold places.\nFigure: Arctic wolf.\nWhich animal's skin is also adapted for survival in cold places?",
|
| 149 |
-
"question": "Choose the criterion that best answers the question.",
|
| 150 |
-
"options": [
|
| 151 |
-
"hairy armadillo",
|
| 152 |
-
"caribou"
|
| 153 |
-
],
|
| 154 |
-
"target": [
|
| 155 |
-
0.0,
|
| 156 |
-
1.0
|
| 157 |
-
],
|
| 158 |
-
"image_sha256": [
|
| 159 |
-
"0a6e19193e11ec8970bfe07683b4f4c9216675fd75525924d700f9447bcf5313"
|
| 160 |
-
],
|
| 161 |
-
"image_group_id": "24d25f6a75c55eea88c36f0f",
|
| 162 |
-
"manual_review": "pending"
|
| 163 |
-
},
|
| 164 |
-
{
|
| 165 |
-
"split": "train",
|
| 166 |
-
"source": "vision/nlvr2",
|
| 167 |
-
"state": "The left image features a vase with a round midsection and a dragon depicted in blue on its front.",
|
| 168 |
-
"question": "Is the statement true for these two images?",
|
| 169 |
-
"options": [
|
| 170 |
-
"False",
|
| 171 |
-
"True"
|
| 172 |
-
],
|
| 173 |
-
"target": [
|
| 174 |
-
1.0,
|
| 175 |
-
0.0
|
| 176 |
-
],
|
| 177 |
-
"image_sha256": [
|
| 178 |
-
"d40680ffca20b7f61da95c35cc8673b8174ffd32dd55a2821a93bd00841ec78a",
|
| 179 |
-
"450f53a1faa5609095de2ed11d7f6e5e6bda17a7d616f5770cbe1c7b03cd752c"
|
| 180 |
-
],
|
| 181 |
-
"image_group_id": "87bc9e9b1d74f23cc481e997",
|
| 182 |
-
"manual_review": "pending"
|
| 183 |
-
},
|
| 184 |
-
{
|
| 185 |
-
"split": "train",
|
| 186 |
-
"source": "vision/clevr/material",
|
| 187 |
-
"state": "What material is the other sphere that is the same size as the yellow matte ball?\nYour answer should be compact.",
|
| 188 |
-
"question": "Choose the criterion that best describes the state.",
|
| 189 |
-
"options": [
|
| 190 |
-
"rubber",
|
| 191 |
-
"metal"
|
| 192 |
-
],
|
| 193 |
-
"target": [
|
| 194 |
-
0.0,
|
| 195 |
-
1.0
|
| 196 |
-
],
|
| 197 |
-
"image_sha256": [
|
| 198 |
-
"e54382120930718965fd160828dc11c920ae9b21f2fef92b3b9ed0934390e0c9"
|
| 199 |
-
],
|
| 200 |
-
"image_group_id": "0e1edd5aa4a2a8e2332bc673b324282cb3475abe4768d6c411c3b7ab36dfc6c2",
|
| 201 |
-
"manual_review": "pending"
|
| 202 |
-
},
|
| 203 |
-
{
|
| 204 |
-
"split": "train",
|
| 205 |
-
"source": "vision/clevr/yesno",
|
| 206 |
-
"state": "Are there any tiny red cubes in front of the brown thing?\nYour response must be concise.",
|
| 207 |
-
"question": "Choose the criterion that best describes the state.",
|
| 208 |
-
"options": [
|
| 209 |
-
"No",
|
| 210 |
-
"Yes"
|
| 211 |
-
],
|
| 212 |
-
"target": [
|
| 213 |
-
0.0,
|
| 214 |
-
1.0
|
| 215 |
-
],
|
| 216 |
-
"image_sha256": [
|
| 217 |
-
"42da6c6904c4370620a29cad081eeb600949168891aadf3ffee966424d90a9bf"
|
| 218 |
-
],
|
| 219 |
-
"image_group_id": "a28ff587d34ab285f8fcbb073e95418149e1fa14408059b5cf07c7485f0c8416",
|
| 220 |
-
"manual_review": "pending"
|
| 221 |
-
},
|
| 222 |
-
{
|
| 223 |
-
"split": "train",
|
| 224 |
-
"source": "vision/nlvr2",
|
| 225 |
-
"state": "An image features two different-colored pug dogs posing together in the grass.",
|
| 226 |
-
"question": "Is the statement true for these two images?",
|
| 227 |
-
"options": [
|
| 228 |
-
"False",
|
| 229 |
-
"True"
|
| 230 |
-
],
|
| 231 |
-
"target": [
|
| 232 |
-
1.0,
|
| 233 |
-
0.0
|
| 234 |
-
],
|
| 235 |
-
"image_sha256": [
|
| 236 |
-
"53611c2d87dd62a9e3d1a400608cd5a4dc524474ab1803e78d64b94bbd5157b9",
|
| 237 |
-
"ceb02222e351cbc642ee5f6bab0c1dd694d319ee2fc5bfbdbf2a7f1f834ac883"
|
| 238 |
-
],
|
| 239 |
-
"image_group_id": "68efd3d9c391e15e2fe25c29",
|
| 240 |
-
"manual_review": "pending"
|
| 241 |
-
},
|
| 242 |
-
{
|
| 243 |
-
"split": "train",
|
| 244 |
-
"source": "vision/scienceqa-img",
|
| 245 |
-
"state": "Throughout the following questions, you will learn about a man who became known as Alexander the Great. Alexander the Great created the Macedonian Empire in the late 300s BCE.\nBefore it was an empire, Macedonia was a kingdom in southern Europe. Macedonia bordered ancient Greece and was located along the Aegean (ah-GEE-an) Sea. Select the kingdom of Macedonia on the map.\nWhat label shows the territory of Macedonia?",
|
| 246 |
-
"question": "Choose the criterion that best answers the question.",
|
| 247 |
-
"options": [
|
| 248 |
-
"C",
|
| 249 |
-
"D",
|
| 250 |
-
"A",
|
| 251 |
-
"B"
|
| 252 |
-
],
|
| 253 |
-
"target": [
|
| 254 |
-
1.0,
|
| 255 |
-
0.0,
|
| 256 |
-
0.0,
|
| 257 |
-
0.0
|
| 258 |
-
],
|
| 259 |
-
"image_sha256": [
|
| 260 |
-
"5d5032a5a78fb22cbedd4f1f5f945bd26275a7d73a72d1bf848976cdc46aacb5"
|
| 261 |
-
],
|
| 262 |
-
"image_group_id": "9fd450e0a889f4d9c79705f6",
|
| 263 |
-
"manual_review": "pending"
|
| 264 |
-
},
|
| 265 |
-
{
|
| 266 |
-
"split": "train",
|
| 267 |
-
"source": "vision/figureqa",
|
| 268 |
-
"state": "Does Aqua intersect Periwinkle?",
|
| 269 |
-
"question": "Answer the question about the chart.",
|
| 270 |
-
"options": [
|
| 271 |
-
"No",
|
| 272 |
-
"Yes"
|
| 273 |
-
],
|
| 274 |
-
"target": [
|
| 275 |
-
0.0,
|
| 276 |
-
1.0
|
| 277 |
-
],
|
| 278 |
-
"image_sha256": [
|
| 279 |
-
"5c7e11f86f27cc1669487c71580ee2cd85d2bbb6eb28ab98de7db1cc420f938d"
|
| 280 |
-
],
|
| 281 |
-
"image_group_id": "b48f1763214c3858797f182f",
|
| 282 |
-
"manual_review": "pending"
|
| 283 |
-
},
|
| 284 |
-
{
|
| 285 |
-
"split": "train",
|
| 286 |
-
"source": "vision/scienceqa-img",
|
| 287 |
-
"state": "Southern three-banded armadillos are adapted to defend their bodies against a predator with sharp teeth. They have hard scales covering much of their skin. When frightened, the can roll into a ball to protect the soft parts of its body.\nFigure: southern three-banded armadillo.\nWhich animal's skin is better adapted for protection against a predator with sharp teeth?",
|
| 288 |
-
"question": "Choose the criterion that best answers the question.",
|
| 289 |
-
"options": [
|
| 290 |
-
"ground pangolin",
|
| 291 |
-
"collared dove"
|
| 292 |
-
],
|
| 293 |
-
"target": [
|
| 294 |
-
1.0,
|
| 295 |
-
0.0
|
| 296 |
-
],
|
| 297 |
-
"image_sha256": [
|
| 298 |
-
"2d9058087461b3de944fdfa595afe3e9e9a9065e89cc6d28d09f5d6571feea77"
|
| 299 |
-
],
|
| 300 |
-
"image_group_id": "1ae21277ab019f225fd92895",
|
| 301 |
-
"manual_review": "pending"
|
| 302 |
-
},
|
| 303 |
-
{
|
| 304 |
-
"split": "train",
|
| 305 |
-
"source": "vision/ai2d",
|
| 306 |
-
"state": "What would be most directly impacted by an increase in the hawk population?",
|
| 307 |
-
"question": "Choose the criterion that best answers the question.",
|
| 308 |
-
"options": [
|
| 309 |
-
"squirrel",
|
| 310 |
-
"acorns",
|
| 311 |
-
"pine borer",
|
| 312 |
-
"pine"
|
| 313 |
-
],
|
| 314 |
-
"target": [
|
| 315 |
-
1.0,
|
| 316 |
-
0.0,
|
| 317 |
-
0.0,
|
| 318 |
-
0.0
|
| 319 |
-
],
|
| 320 |
-
"image_sha256": [
|
| 321 |
-
"6c9042abff7d7adab0253cb1fc0fb3aad7f029187e30e4e625f6b8ee1ae6ac21"
|
| 322 |
-
],
|
| 323 |
-
"image_group_id": "67f18ff6c4fe1659f2fb06e5",
|
| 324 |
-
"manual_review": "pending"
|
| 325 |
-
},
|
| 326 |
-
{
|
| 327 |
-
"split": "train",
|
| 328 |
-
"source": "vision/mapqa/yesno",
|
| 329 |
-
"state": "Does New Jersey have the highest value in the USA?\nQuick response, please.",
|
| 330 |
-
"question": "Choose the criterion that best describes the state.",
|
| 331 |
-
"options": [
|
| 332 |
-
"No",
|
| 333 |
-
"Yes"
|
| 334 |
-
],
|
| 335 |
-
"target": [
|
| 336 |
-
1.0,
|
| 337 |
-
0.0
|
| 338 |
-
],
|
| 339 |
-
"image_sha256": [
|
| 340 |
-
"23ed74a93b271cca621bade93f0edd9befc0eb52f17a13c2a468f0af3496e7b2"
|
| 341 |
-
],
|
| 342 |
-
"image_group_id": "ac52c7222e10bd4fa4b990c841e1052b58b7408008e7f754d5052f3947c68c5d",
|
| 343 |
-
"manual_review": "pending"
|
| 344 |
-
},
|
| 345 |
-
{
|
| 346 |
-
"split": "train",
|
| 347 |
-
"source": "vision/clevr/color",
|
| 348 |
-
"state": "What color is the matte block?\nYour answer should be very brief.",
|
| 349 |
-
"question": "Choose the criterion that best describes the state.",
|
| 350 |
-
"options": [
|
| 351 |
-
"gray",
|
| 352 |
-
"red",
|
| 353 |
-
"blue",
|
| 354 |
-
"green",
|
| 355 |
-
"brown",
|
| 356 |
-
"purple",
|
| 357 |
-
"cyan",
|
| 358 |
-
"yellow"
|
| 359 |
-
],
|
| 360 |
-
"target": [
|
| 361 |
-
0.0,
|
| 362 |
-
1.0,
|
| 363 |
-
0.0,
|
| 364 |
-
0.0,
|
| 365 |
-
0.0,
|
| 366 |
-
0.0,
|
| 367 |
-
0.0,
|
| 368 |
-
0.0
|
| 369 |
-
],
|
| 370 |
-
"image_sha256": [
|
| 371 |
-
"5837844b6930c52ac532c2d9fa4164c6cfd5f2d2a123a5beb8fbebd10471166f"
|
| 372 |
-
],
|
| 373 |
-
"image_group_id": "b6b8e8541c660ddd3d24bb32a0b37db74045d97de90f31b124706db16b8b1c78",
|
| 374 |
-
"manual_review": "pending"
|
| 375 |
-
},
|
| 376 |
-
{
|
| 377 |
-
"split": "train",
|
| 378 |
-
"source": "vision/nlvr2",
|
| 379 |
-
"state": "An image shows two hyenas posed nose to nose, with no carcass between them.",
|
| 380 |
-
"question": "Is the statement true for these two images?",
|
| 381 |
-
"options": [
|
| 382 |
-
"False",
|
| 383 |
-
"True"
|
| 384 |
-
],
|
| 385 |
-
"target": [
|
| 386 |
-
0.0,
|
| 387 |
-
1.0
|
| 388 |
-
],
|
| 389 |
-
"image_sha256": [
|
| 390 |
-
"9a28f63054ab2fe66c00fab49d74ecf44783b3941da4360197f45b4565dcae3f",
|
| 391 |
-
"8025123b92a44b994d8365f4a0ae2e75b20869c4353afaa2326b3642e40f2098"
|
| 392 |
-
],
|
| 393 |
-
"image_group_id": "b7b91ade3becbebc97252044",
|
| 394 |
-
"manual_review": "pending"
|
| 395 |
-
},
|
| 396 |
-
{
|
| 397 |
-
"split": "train",
|
| 398 |
-
"source": "vision/mapqa/yesno",
|
| 399 |
-
"state": "Does Virginia have a higher value than New Mexico?\nConcise answer only.",
|
| 400 |
-
"question": "Choose the criterion that best describes the state.",
|
| 401 |
-
"options": [
|
| 402 |
-
"No",
|
| 403 |
-
"Yes"
|
| 404 |
-
],
|
| 405 |
-
"target": [
|
| 406 |
-
0.0,
|
| 407 |
-
1.0
|
| 408 |
-
],
|
| 409 |
-
"image_sha256": [
|
| 410 |
-
"78baef67bf4eedf7bda6e2edf94df5c07b33f9f016dd80cd2950f80bc7818c88"
|
| 411 |
-
],
|
| 412 |
-
"image_group_id": "010e530eb0715685c7da0ab8da31618f8288aef9b57270d68bd757c5da241626",
|
| 413 |
-
"manual_review": "pending"
|
| 414 |
-
},
|
| 415 |
-
{
|
| 416 |
-
"split": "train",
|
| 417 |
-
"source": "vision/clevr/count",
|
| 418 |
-
"state": "How many other things are the same size as the blue rubber cylinder?\nOffer a terse response.",
|
| 419 |
-
"question": "How many? Choose the count that answers the question about the image.",
|
| 420 |
-
"options": [
|
| 421 |
-
"0",
|
| 422 |
-
"1",
|
| 423 |
-
"2",
|
| 424 |
-
"3",
|
| 425 |
-
"4",
|
| 426 |
-
"5",
|
| 427 |
-
"6",
|
| 428 |
-
"7",
|
| 429 |
-
"8",
|
| 430 |
-
"9",
|
| 431 |
-
"10"
|
| 432 |
-
],
|
| 433 |
-
"target": [
|
| 434 |
-
0.0,
|
| 435 |
-
0.0,
|
| 436 |
-
0.0,
|
| 437 |
-
1.0,
|
| 438 |
-
0.0,
|
| 439 |
-
0.0,
|
| 440 |
-
0.0,
|
| 441 |
-
0.0,
|
| 442 |
-
0.0,
|
| 443 |
-
0.0,
|
| 444 |
-
0.0
|
| 445 |
-
],
|
| 446 |
-
"image_sha256": [
|
| 447 |
-
"4dc860468393a167ebe870f2935034eb9df503be19fe5900d3050b7b3f9f6056"
|
| 448 |
-
],
|
| 449 |
-
"image_group_id": "531e0c5552de9915fce1211acd9209c0500ade5fe2815df37a12d65256930652",
|
| 450 |
-
"manual_review": "pending"
|
| 451 |
-
},
|
| 452 |
-
{
|
| 453 |
-
"split": "train",
|
| 454 |
-
"source": "vision/mapqa/yesno",
|
| 455 |
-
"state": "Does Minnesota have the highest value in the USA?\nAnswer briefly.",
|
| 456 |
-
"question": "Choose the criterion that best describes the state.",
|
| 457 |
-
"options": [
|
| 458 |
-
"No",
|
| 459 |
-
"Yes"
|
| 460 |
-
],
|
| 461 |
-
"target": [
|
| 462 |
-
0.0,
|
| 463 |
-
1.0
|
| 464 |
-
],
|
| 465 |
-
"image_sha256": [
|
| 466 |
-
"e352a90166e80faf6578c2dd8c91195eccb5b3312ce6d944064f52a26316e5ae"
|
| 467 |
-
],
|
| 468 |
-
"image_group_id": "397969965dd26bf4d167f59a36bb5843b34eaf19b2e1494ccde94684103959cb",
|
| 469 |
-
"manual_review": "pending"
|
| 470 |
-
},
|
| 471 |
-
{
|
| 472 |
-
"split": "train",
|
| 473 |
-
"source": "vision/tqa",
|
| 474 |
-
"state": "Where does blood flow after leaving the right ventricle?",
|
| 475 |
-
"question": "Choose the criterion that best answers the question.",
|
| 476 |
-
"options": [
|
| 477 |
-
"p.",
|
| 478 |
-
"r.",
|
| 479 |
-
"h.",
|
| 480 |
-
"w."
|
| 481 |
-
],
|
| 482 |
-
"target": [
|
| 483 |
-
0.0,
|
| 484 |
-
1.0,
|
| 485 |
-
0.0,
|
| 486 |
-
0.0
|
| 487 |
-
],
|
| 488 |
-
"image_sha256": [
|
| 489 |
-
"93ab52973c7635f2aa81fe50f133f88c7385ec69c5c1eaac80dff06af7dd3bfd"
|
| 490 |
-
],
|
| 491 |
-
"image_group_id": "7afdd610c45942284b1ee93a",
|
| 492 |
-
"manual_review": "pending"
|
| 493 |
-
},
|
| 494 |
-
{
|
| 495 |
-
"split": "train",
|
| 496 |
-
"source": "vision/visual7w",
|
| 497 |
-
"state": "what color is the road sign?",
|
| 498 |
-
"question": "Choose the criterion that best answers the question.",
|
| 499 |
-
"options": [
|
| 500 |
-
"Red.",
|
| 501 |
-
"Yellow.",
|
| 502 |
-
"Blue.",
|
| 503 |
-
"Green."
|
| 504 |
-
],
|
| 505 |
-
"target": [
|
| 506 |
-
0.0,
|
| 507 |
-
0.0,
|
| 508 |
-
1.0,
|
| 509 |
-
0.0
|
| 510 |
-
],
|
| 511 |
-
"image_sha256": [
|
| 512 |
-
"4e0036a20ebf03fc27edb9d07ce4cf513dc443c227f18b8cb3a35191e8e97971"
|
| 513 |
-
],
|
| 514 |
-
"image_group_id": "d5644293e3f0066e27f7ef2722457434b7d043f28e1bfae588942fb1f7fc0b4e",
|
| 515 |
-
"manual_review": "pending"
|
| 516 |
-
},
|
| 517 |
-
{
|
| 518 |
-
"split": "train",
|
| 519 |
-
"source": "vision/clevr/shape",
|
| 520 |
-
"state": "What shape is the big matte thing behind the big block that is in front of the object that is behind the large brown ball?\nProvide a short and direct response.",
|
| 521 |
-
"question": "Choose the criterion that best describes the state.",
|
| 522 |
-
"options": [
|
| 523 |
-
"cube",
|
| 524 |
-
"sphere",
|
| 525 |
-
"cylinder"
|
| 526 |
-
],
|
| 527 |
-
"target": [
|
| 528 |
-
0.0,
|
| 529 |
-
1.0,
|
| 530 |
-
0.0
|
| 531 |
-
],
|
| 532 |
-
"image_sha256": [
|
| 533 |
-
"d701e4ffd0f8431d70d9d18801d0054d25d944c3c82ffcf576c7ac22d619f871"
|
| 534 |
-
],
|
| 535 |
-
"image_group_id": "b40327f77bc440c7903ef1bd4a39bf7e05a37b6ab785aba005521b23e7010b53",
|
| 536 |
-
"manual_review": "pending"
|
| 537 |
-
},
|
| 538 |
-
{
|
| 539 |
-
"split": "train",
|
| 540 |
-
"source": "vision/visual7w",
|
| 541 |
-
"state": "what is in white color?",
|
| 542 |
-
"question": "Choose the criterion that best answers the question.",
|
| 543 |
-
"options": [
|
| 544 |
-
"The place mats.",
|
| 545 |
-
"The man's shoes.",
|
| 546 |
-
"The woman's shirt.",
|
| 547 |
-
"The young girls headband."
|
| 548 |
-
],
|
| 549 |
-
"target": [
|
| 550 |
-
0.0,
|
| 551 |
-
0.0,
|
| 552 |
-
1.0,
|
| 553 |
-
0.0
|
| 554 |
-
],
|
| 555 |
-
"image_sha256": [
|
| 556 |
-
"ad65476bdcaa77772549e7f7359b059a8d188b863a314e043be979746e15c80e"
|
| 557 |
-
],
|
| 558 |
-
"image_group_id": "20e725315f2bc0628bd157427b831b239a3f019247463a372eb89822fa588b0d",
|
| 559 |
-
"manual_review": "pending"
|
| 560 |
-
},
|
| 561 |
-
{
|
| 562 |
-
"split": "train",
|
| 563 |
-
"source": "vision/clevr/count",
|
| 564 |
-
"state": "How many other objects are the same shape as the tiny cyan metal thing?\nProvide a succinct answer.",
|
| 565 |
-
"question": "How many? Choose the count that answers the question about the image.",
|
| 566 |
-
"options": [
|
| 567 |
-
"0",
|
| 568 |
-
"1",
|
| 569 |
-
"2",
|
| 570 |
-
"3",
|
| 571 |
-
"4",
|
| 572 |
-
"5",
|
| 573 |
-
"6",
|
| 574 |
-
"7",
|
| 575 |
-
"8",
|
| 576 |
-
"9",
|
| 577 |
-
"10"
|
| 578 |
-
],
|
| 579 |
-
"target": [
|
| 580 |
-
0.0,
|
| 581 |
-
0.0,
|
| 582 |
-
0.0,
|
| 583 |
-
0.0,
|
| 584 |
-
1.0,
|
| 585 |
-
0.0,
|
| 586 |
-
0.0,
|
| 587 |
-
0.0,
|
| 588 |
-
0.0,
|
| 589 |
-
0.0,
|
| 590 |
-
0.0
|
| 591 |
-
],
|
| 592 |
-
"image_sha256": [
|
| 593 |
-
"6953f97091b7e4f3dc83874161092ac6eb505b6cd00245c766afbdb259881dc2"
|
| 594 |
-
],
|
| 595 |
-
"image_group_id": "fb893e3a40392776363d3ac92af83a4511c88ec87e58d1559d24a514ad7ad68b",
|
| 596 |
-
"manual_review": "pending"
|
| 597 |
-
},
|
| 598 |
-
{
|
| 599 |
-
"split": "train",
|
| 600 |
-
"source": "vision/clevr/color",
|
| 601 |
-
"state": "There is another thing that is the same material as the small yellow thing; what is its color?\nOffer a very short reply.",
|
| 602 |
-
"question": "Choose the criterion that best describes the state.",
|
| 603 |
-
"options": [
|
| 604 |
-
"gray",
|
| 605 |
-
"red",
|
| 606 |
-
"blue",
|
| 607 |
-
"green",
|
| 608 |
-
"brown",
|
| 609 |
-
"purple",
|
| 610 |
-
"cyan",
|
| 611 |
-
"yellow"
|
| 612 |
-
],
|
| 613 |
-
"target": [
|
| 614 |
-
0.0,
|
| 615 |
-
0.0,
|
| 616 |
-
0.0,
|
| 617 |
-
0.0,
|
| 618 |
-
0.0,
|
| 619 |
-
0.0,
|
| 620 |
-
0.0,
|
| 621 |
-
1.0
|
| 622 |
-
],
|
| 623 |
-
"image_sha256": [
|
| 624 |
-
"951849432411ee4a729faec1c26a1895a7153ce8472808958149bbbdb00fe3ba"
|
| 625 |
-
],
|
| 626 |
-
"image_group_id": "61af411c546242417ca320526530a06ea926f2d92fe99ec8eb04c5f65d9140da",
|
| 627 |
-
"manual_review": "pending"
|
| 628 |
-
},
|
| 629 |
-
{
|
| 630 |
-
"split": "train",
|
| 631 |
-
"source": "vision/clevr/yesno",
|
| 632 |
-
"state": "Are there any large balls made of the same material as the big block?\nYour answer should be very brief.",
|
| 633 |
-
"question": "Choose the criterion that best describes the state.",
|
| 634 |
-
"options": [
|
| 635 |
-
"No",
|
| 636 |
-
"Yes"
|
| 637 |
-
],
|
| 638 |
-
"target": [
|
| 639 |
-
0.0,
|
| 640 |
-
1.0
|
| 641 |
-
],
|
| 642 |
-
"image_sha256": [
|
| 643 |
-
"ef84abc88ee91c7103d1478aa043f10f3d1c72ffc90143f16e202553d2c5857c"
|
| 644 |
-
],
|
| 645 |
-
"image_group_id": "22cbe9090ef76832f48cab63b0b394a1b16da4083fdc4f90cdb22f57069f8c0a",
|
| 646 |
-
"manual_review": "pending"
|
| 647 |
-
},
|
| 648 |
-
{
|
| 649 |
-
"split": "train",
|
| 650 |
-
"source": "vision/figureqa",
|
| 651 |
-
"state": "Is Medium Mint less than Dark Slate?",
|
| 652 |
-
"question": "Answer the question about the chart.",
|
| 653 |
-
"options": [
|
| 654 |
-
"No",
|
| 655 |
-
"Yes"
|
| 656 |
-
],
|
| 657 |
-
"target": [
|
| 658 |
-
1.0,
|
| 659 |
-
0.0
|
| 660 |
-
],
|
| 661 |
-
"image_sha256": [
|
| 662 |
-
"71ffba2d2341a35e49ce323ac97082f9703da31d999df242b5bffb5596dbe86b"
|
| 663 |
-
],
|
| 664 |
-
"image_group_id": "d71612b0890b374989fae769",
|
| 665 |
-
"manual_review": "pending"
|
| 666 |
-
},
|
| 667 |
-
{
|
| 668 |
-
"split": "train",
|
| 669 |
-
"source": "vision/tallyqa/count",
|
| 670 |
-
"state": "How many motorcycles have riders?\nGive a very brief answer.",
|
| 671 |
-
"question": "How many? Choose the count that answers the question about the image.",
|
| 672 |
-
"options": [
|
| 673 |
-
"0",
|
| 674 |
-
"1",
|
| 675 |
-
"2",
|
| 676 |
-
"3",
|
| 677 |
-
"4",
|
| 678 |
-
"5",
|
| 679 |
-
"6",
|
| 680 |
-
"7",
|
| 681 |
-
"8",
|
| 682 |
-
"9",
|
| 683 |
-
"10",
|
| 684 |
-
"11",
|
| 685 |
-
"12",
|
| 686 |
-
"13",
|
| 687 |
-
"14",
|
| 688 |
-
"15"
|
| 689 |
-
],
|
| 690 |
-
"target": [
|
| 691 |
-
1.0,
|
| 692 |
-
0.0,
|
| 693 |
-
0.0,
|
| 694 |
-
0.0,
|
| 695 |
-
0.0,
|
| 696 |
-
0.0,
|
| 697 |
-
0.0,
|
| 698 |
-
0.0,
|
| 699 |
-
0.0,
|
| 700 |
-
0.0,
|
| 701 |
-
0.0,
|
| 702 |
-
0.0,
|
| 703 |
-
0.0,
|
| 704 |
-
0.0,
|
| 705 |
-
0.0,
|
| 706 |
-
0.0
|
| 707 |
-
],
|
| 708 |
-
"image_sha256": [
|
| 709 |
-
"a2339c3e925d9d1f211681bef86048c860a30a9a72930ca5e99e023f59d4d15b"
|
| 710 |
-
],
|
| 711 |
-
"image_group_id": "0b240a1f12ab646ae621c4c946167d43705b221a4f9c7dc008831aec1886e1cb",
|
| 712 |
-
"manual_review": "pending"
|
| 713 |
-
},
|
| 714 |
-
{
|
| 715 |
-
"split": "train",
|
| 716 |
-
"source": "vision/intergps",
|
| 717 |
-
"state": "Find the measure of \\angle 7.",
|
| 718 |
-
"question": "Choose the criterion that best answers the question.",
|
| 719 |
-
"options": [
|
| 720 |
-
"110",
|
| 721 |
-
"70",
|
| 722 |
-
"220",
|
| 723 |
-
"140"
|
| 724 |
-
],
|
| 725 |
-
"target": [
|
| 726 |
-
1.0,
|
| 727 |
-
0.0,
|
| 728 |
-
0.0,
|
| 729 |
-
0.0
|
| 730 |
-
],
|
| 731 |
-
"image_sha256": [
|
| 732 |
-
"51c161b07ec6de96debaa5b36201ae0651c1326911a7f22b3e0cdf99267e1c12"
|
| 733 |
-
],
|
| 734 |
-
"image_group_id": "5571f8d6c4d4cbfc1cda4c79",
|
| 735 |
-
"manual_review": "pending"
|
| 736 |
-
},
|
| 737 |
-
{
|
| 738 |
-
"split": "train",
|
| 739 |
-
"source": "vision/rico-widget/element",
|
| 740 |
-
"state": "open menu",
|
| 741 |
-
"question": "Which element in the displayed image matches the instruction?",
|
| 742 |
-
"options": [
|
| 743 |
-
"Element 19: Text Want; box=[0.14375, 0.64765625, 0.25555555555555554, 0.683984375]",
|
| 744 |
-
"Element 2: Icon menu; box=[0.0, 0.0328125, 0.1361111111111111, 0.109375]",
|
| 745 |
-
"Element 3: Icon share; box=[0.7861111111111111, 0.03828125, 0.9027777777777778, 0.10390625]",
|
| 746 |
-
"Element 1: Text Countries Been; box=[0.14583333333333334, 0.052734375, 0.4791666666666667, 0.0890625]",
|
| 747 |
-
"Element 13: Text Been; box=[0.14375, 0.4921875, 0.25277777777777777, 0.528515625]",
|
| 748 |
-
"Element 14: Text 0 (0%); box=[0.25277777777777777, 0.4953125, 0.9534722222222223, 0.525]",
|
| 749 |
-
"Element 22: Text Explore; box=[0.14375, 0.725390625, 0.30416666666666664, 0.76171875]",
|
| 750 |
-
"Element 17: Text 0 (0%); box=[0.25833333333333336, 0.573046875, 0.9534722222222223, 0.602734375]",
|
| 751 |
-
"Element 11: Text Button World; box=[0.027083333333333334, 0.405859375, 0.9729166666666667, 0.46171875]",
|
| 752 |
-
"Element 5: Web View; box=[0.0, 0.866015625, 1.0, 0.934375]",
|
| 753 |
-
"Element 20: Text 0 (0%); box=[0.25555555555555554, 0.65078125, 0.9534722222222223, 0.68046875]",
|
| 754 |
-
"Element 9: Icon avatar; box=[0.45625, 0.208984375, 0.54375, 0.258203125]",
|
| 755 |
-
"Element 4: Icon more; box=[0.9027777777777778, 0.03828125, 1.0, 0.10390625]",
|
| 756 |
-
"Element 18: Icon expand_more; box=[0.04652777777777778, 0.64921875, 0.10486111111111111, 0.68203125]",
|
| 757 |
-
"Element 6: Icon close; box=[0.9173611111111111, 0.11796875, 0.9756944444444444, 0.15078125]",
|
| 758 |
-
"Element 21: Icon expand_more; box=[0.04652777777777778, 0.726953125, 0.10486111111111111, 0.759765625]",
|
| 759 |
-
"Element 16: Text Lived; box=[0.14375, 0.569921875, 0.25833333333333336, 0.60625]",
|
| 760 |
-
"Element 15: Icon expand_more; box=[0.04652777777777778, 0.571484375, 0.10486111111111111, 0.604296875]",
|
| 761 |
-
"Element 8: Image; box=[0.0, 0.109375, 1.0, 0.390625]",
|
| 762 |
-
"Element 10: Text Open Globe; box=[0.4125, 0.265234375, 0.5875, 0.291015625]",
|
| 763 |
-
"Element 12: Icon expand_more; box=[0.04652777777777778, 0.49375, 0.10486111111111111, 0.5265625]",
|
| 764 |
-
"Element 7: Text Button New States available!; box=[0.024305555555555556, 0.11640625, 0.8930555555555556, 0.152734375]"
|
| 765 |
-
],
|
| 766 |
-
"target": [
|
| 767 |
-
0.0,
|
| 768 |
-
1.0,
|
| 769 |
-
0.0,
|
| 770 |
-
0.0,
|
| 771 |
-
0.0,
|
| 772 |
-
0.0,
|
| 773 |
-
0.0,
|
| 774 |
-
0.0,
|
| 775 |
-
0.0,
|
| 776 |
-
0.0,
|
| 777 |
-
0.0,
|
| 778 |
-
0.0,
|
| 779 |
-
0.0,
|
| 780 |
-
0.0,
|
| 781 |
-
0.0,
|
| 782 |
-
0.0,
|
| 783 |
-
0.0,
|
| 784 |
-
0.0,
|
| 785 |
-
0.0,
|
| 786 |
-
0.0,
|
| 787 |
-
0.0,
|
| 788 |
-
0.0
|
| 789 |
-
],
|
| 790 |
-
"image_sha256": [
|
| 791 |
-
"2bdb6b55ea1f231c23e1f4b228bad1c56eb1da8f9f86d3266d413d109e893acd"
|
| 792 |
-
],
|
| 793 |
-
"image_group_id": "rico:61971",
|
| 794 |
-
"manual_review": "pending"
|
| 795 |
-
},
|
| 796 |
-
{
|
| 797 |
-
"split": "train",
|
| 798 |
-
"source": "vision/rico-widget/element",
|
| 799 |
-
"state": "save to favorites",
|
| 800 |
-
"question": "Which element in the displayed image matches the instruction?",
|
| 801 |
-
"options": [
|
| 802 |
-
"Element 1: Icon star; box=[0.04513888888888889, 0.869921875, 0.15486111111111112, 0.931640625]",
|
| 803 |
-
"Element 6: Text Button edit; box=[0.75, 0.0328125, 1.0, 0.09453125]",
|
| 804 |
-
"Element 5: Icon time; box=[0.24513888888888888, 0.869921875, 0.3548611111111111, 0.931640625]",
|
| 805 |
-
"Element 9: Web View; box=[0.0, 0.0953125, 1.0, 0.437109375]",
|
| 806 |
-
"Element 7: Text Button all All; box=[0.25277777777777777, 0.04453125, 0.5, 0.082421875]",
|
| 807 |
-
"Element 4: Icon settings; box=[0.8451388888888889, 0.869921875, 0.9548611111111112, 0.931640625]",
|
| 808 |
-
"Element 2: Icon avatar; box=[0.44513888888888886, 0.869921875, 0.5548611111111111, 0.931640625]",
|
| 809 |
-
"Element 8: Text Button Missed; box=[0.5, 0.04453125, 0.7472222222222222, 0.082421875]",
|
| 810 |
-
"Element 3: Icon dialpad; box=[0.6451388888888889, 0.869921875, 0.7548611111111111, 0.931640625]"
|
| 811 |
-
],
|
| 812 |
-
"target": [
|
| 813 |
-
1.0,
|
| 814 |
-
0.0,
|
| 815 |
-
0.0,
|
| 816 |
-
0.0,
|
| 817 |
-
0.0,
|
| 818 |
-
0.0,
|
| 819 |
-
0.0,
|
| 820 |
-
0.0,
|
| 821 |
-
0.0
|
| 822 |
-
],
|
| 823 |
-
"image_sha256": [
|
| 824 |
-
"46ee15bfbd276737060db3282b0665060c81d318ab0417ba71ffc4eec4da1426"
|
| 825 |
-
],
|
| 826 |
-
"image_group_id": "rico:70181",
|
| 827 |
-
"manual_review": "pending"
|
| 828 |
-
},
|
| 829 |
-
{
|
| 830 |
-
"split": "train",
|
| 831 |
-
"source": "vision/intergps",
|
| 832 |
-
"state": "Find x.",
|
| 833 |
-
"question": "Choose the criterion that best answers the question.",
|
| 834 |
-
"options": [
|
| 835 |
-
"21.2",
|
| 836 |
-
"32.3",
|
| 837 |
-
"18.9",
|
| 838 |
-
"17.1"
|
| 839 |
-
],
|
| 840 |
-
"target": [
|
| 841 |
-
0.0,
|
| 842 |
-
0.0,
|
| 843 |
-
0.0,
|
| 844 |
-
1.0
|
| 845 |
-
],
|
| 846 |
-
"image_sha256": [
|
| 847 |
-
"28d964d88551dda42a6774e0424e5f582ac13652d1e8f96ae9e2d5dcf7e8f341"
|
| 848 |
-
],
|
| 849 |
-
"image_group_id": "63c060641b1dfb9132e4f363",
|
| 850 |
-
"manual_review": "pending"
|
| 851 |
-
},
|
| 852 |
-
{
|
| 853 |
-
"split": "train",
|
| 854 |
-
"source": "vision/rico-widget/element",
|
| 855 |
-
"state": "go back",
|
| 856 |
-
"question": "Which element in the displayed image matches the instruction?",
|
| 857 |
-
"options": [
|
| 858 |
-
"Element 3: Image; box=[0.8444444444444444, 0.665625, 0.9611111111111111, 0.73125]",
|
| 859 |
-
"Element 4: Image; box=[0.0125, 0.7953125, 0.15833333333333333, 0.825390625]",
|
| 860 |
-
"Element 2: Icon sliders; box=[0.8444444444444444, 0.744921875, 0.9611111111111111, 0.810546875]",
|
| 861 |
-
"Element 1: Icon arrow_backward; box=[0.03888888888888889, 0.095703125, 0.15555555555555556, 0.161328125]"
|
| 862 |
-
],
|
| 863 |
-
"target": [
|
| 864 |
-
0.0,
|
| 865 |
-
0.0,
|
| 866 |
-
0.0,
|
| 867 |
-
1.0
|
| 868 |
-
],
|
| 869 |
-
"image_sha256": [
|
| 870 |
-
"2eec3eedb793549f134d450d6e4f2f44150d101f02c00f0690a8c3dea7cc931c"
|
| 871 |
-
],
|
| 872 |
-
"image_group_id": "rico:13254",
|
| 873 |
-
"manual_review": "pending"
|
| 874 |
-
},
|
| 875 |
-
{
|
| 876 |
-
"split": "train",
|
| 877 |
-
"source": "vision/vsr/yesno",
|
| 878 |
-
"state": "Does the caption \"The truck is on the couch.\" correctly depict the image?\nAnswer yes or no.",
|
| 879 |
-
"question": "Is the spatial statement true for the image?",
|
| 880 |
-
"options": [
|
| 881 |
-
"No",
|
| 882 |
-
"Yes"
|
| 883 |
-
],
|
| 884 |
-
"target": [
|
| 885 |
-
1.0,
|
| 886 |
-
0.0
|
| 887 |
-
],
|
| 888 |
-
"image_sha256": [
|
| 889 |
-
"a243fb734054745f5094fe1a591db5d17ad824ae40b474633cc1506442c98add"
|
| 890 |
-
],
|
| 891 |
-
"image_group_id": "80518cf5177bc14196fc8b9f",
|
| 892 |
-
"manual_review": "pending"
|
| 893 |
-
},
|
| 894 |
-
{
|
| 895 |
-
"split": "train",
|
| 896 |
-
"source": "vision/aokvqa",
|
| 897 |
-
"state": "What is the white van used for?",
|
| 898 |
-
"question": "Choose the criterion that best answers the question.",
|
| 899 |
-
"options": [
|
| 900 |
-
"living",
|
| 901 |
-
"transporting",
|
| 902 |
-
"racing",
|
| 903 |
-
"education"
|
| 904 |
-
],
|
| 905 |
-
"target": [
|
| 906 |
-
0.0,
|
| 907 |
-
1.0,
|
| 908 |
-
0.0,
|
| 909 |
-
0.0
|
| 910 |
-
],
|
| 911 |
-
"image_sha256": [
|
| 912 |
-
"6110ea5114e112b4f2ea49eddbddab3ed839e091c18d5175af328a0917f04671"
|
| 913 |
-
],
|
| 914 |
-
"image_group_id": "1ef2a0e5e696efb45a5bf0aa",
|
| 915 |
-
"manual_review": "pending"
|
| 916 |
-
},
|
| 917 |
-
{
|
| 918 |
-
"split": "train",
|
| 919 |
-
"source": "vision/ai2d",
|
| 920 |
-
"state": "From the above food web diagram, what would happen if all the shrub were taken out of the food web",
|
| 921 |
-
"question": "Choose the criterion that best answers the question.",
|
| 922 |
-
"options": [
|
| 923 |
-
"snail would decrese",
|
| 924 |
-
"grass increase",
|
| 925 |
-
"nail would increases",
|
| 926 |
-
"lizard increase"
|
| 927 |
-
],
|
| 928 |
-
"target": [
|
| 929 |
-
1.0,
|
| 930 |
-
0.0,
|
| 931 |
-
0.0,
|
| 932 |
-
0.0
|
| 933 |
-
],
|
| 934 |
-
"image_sha256": [
|
| 935 |
-
"3c1787d0fa2f6733b1c17d667256e00b2d97496c7825f8a80c627e2b6ddf041b"
|
| 936 |
-
],
|
| 937 |
-
"image_group_id": "8bd5035cedfa8d791de77133",
|
| 938 |
-
"manual_review": "pending"
|
| 939 |
-
},
|
| 940 |
-
{
|
| 941 |
-
"split": "train",
|
| 942 |
-
"source": "vision/clevr/count",
|
| 943 |
-
"state": "What number of tiny shiny cubes are left of the large thing in front of the thing to the right of the tiny rubber cylinder?\nMake the answer very short.",
|
| 944 |
-
"question": "How many? Choose the count that answers the question about the image.",
|
| 945 |
-
"options": [
|
| 946 |
-
"0",
|
| 947 |
-
"1",
|
| 948 |
-
"2",
|
| 949 |
-
"3",
|
| 950 |
-
"4",
|
| 951 |
-
"5",
|
| 952 |
-
"6",
|
| 953 |
-
"7",
|
| 954 |
-
"8",
|
| 955 |
-
"9",
|
| 956 |
-
"10"
|
| 957 |
-
],
|
| 958 |
-
"target": [
|
| 959 |
-
0.0,
|
| 960 |
-
1.0,
|
| 961 |
-
0.0,
|
| 962 |
-
0.0,
|
| 963 |
-
0.0,
|
| 964 |
-
0.0,
|
| 965 |
-
0.0,
|
| 966 |
-
0.0,
|
| 967 |
-
0.0,
|
| 968 |
-
0.0,
|
| 969 |
-
0.0
|
| 970 |
-
],
|
| 971 |
-
"image_sha256": [
|
| 972 |
-
"547667aa6b18ab930ad635cd4f4a8a6b4197e65cd830c8a32004f85e00b8a92f"
|
| 973 |
-
],
|
| 974 |
-
"image_group_id": "15a8de9fae62b11aa4b029d46d389dda86cf1179b196cd0d07a0705e2d7c15eb",
|
| 975 |
-
"manual_review": "pending"
|
| 976 |
-
},
|
| 977 |
-
{
|
| 978 |
-
"split": "train",
|
| 979 |
-
"source": "vision/visual7w",
|
| 980 |
-
"state": "where is the backpack sitting?",
|
| 981 |
-
"question": "Choose the criterion that best answers the question.",
|
| 982 |
-
"options": [
|
| 983 |
-
"The foot of the bed.",
|
| 984 |
-
"On the floor.",
|
| 985 |
-
"In the closet.",
|
| 986 |
-
"On the table."
|
| 987 |
-
],
|
| 988 |
-
"target": [
|
| 989 |
-
1.0,
|
| 990 |
-
0.0,
|
| 991 |
-
0.0,
|
| 992 |
-
0.0
|
| 993 |
-
],
|
| 994 |
-
"image_sha256": [
|
| 995 |
-
"73904a6dbab2ddad5de8758914245e4f58a65bd914001d7330973f36d057550f"
|
| 996 |
-
],
|
| 997 |
-
"image_group_id": "72cea48ebc856000a5948abd622bea53719929aff09e689ef6cd095cb4c7554c",
|
| 998 |
-
"manual_review": "pending"
|
| 999 |
-
},
|
| 1000 |
-
{
|
| 1001 |
-
"split": "train",
|
| 1002 |
-
"source": "vision/figureqa",
|
| 1003 |
-
"state": "Is Chocolate the smoothest?",
|
| 1004 |
-
"question": "Answer the question about the chart.",
|
| 1005 |
-
"options": [
|
| 1006 |
-
"No",
|
| 1007 |
-
"Yes"
|
| 1008 |
-
],
|
| 1009 |
-
"target": [
|
| 1010 |
-
0.0,
|
| 1011 |
-
1.0
|
| 1012 |
-
],
|
| 1013 |
-
"image_sha256": [
|
| 1014 |
-
"06d9fd2acd0675046a65d606811862ebd8d1b50f406557838c44657d16523746"
|
| 1015 |
-
],
|
| 1016 |
-
"image_group_id": "8762966f3e381bef28685170",
|
| 1017 |
-
"manual_review": "pending"
|
| 1018 |
-
},
|
| 1019 |
-
{
|
| 1020 |
-
"split": "train",
|
| 1021 |
-
"source": "vision/tallyqa/count",
|
| 1022 |
-
"state": "How many people are in this photo?\nGive a very brief answer.",
|
| 1023 |
-
"question": "How many? Choose the count that answers the question about the image.",
|
| 1024 |
-
"options": [
|
| 1025 |
-
"0",
|
| 1026 |
-
"1",
|
| 1027 |
-
"2",
|
| 1028 |
-
"3",
|
| 1029 |
-
"4",
|
| 1030 |
-
"5",
|
| 1031 |
-
"6",
|
| 1032 |
-
"7",
|
| 1033 |
-
"8",
|
| 1034 |
-
"9",
|
| 1035 |
-
"10",
|
| 1036 |
-
"11",
|
| 1037 |
-
"12",
|
| 1038 |
-
"13",
|
| 1039 |
-
"14",
|
| 1040 |
-
"15"
|
| 1041 |
-
],
|
| 1042 |
-
"target": [
|
| 1043 |
-
0.0,
|
| 1044 |
-
0.0,
|
| 1045 |
-
1.0,
|
| 1046 |
-
0.0,
|
| 1047 |
-
0.0,
|
| 1048 |
-
0.0,
|
| 1049 |
-
0.0,
|
| 1050 |
-
0.0,
|
| 1051 |
-
0.0,
|
| 1052 |
-
0.0,
|
| 1053 |
-
0.0,
|
| 1054 |
-
0.0,
|
| 1055 |
-
0.0,
|
| 1056 |
-
0.0,
|
| 1057 |
-
0.0,
|
| 1058 |
-
0.0
|
| 1059 |
-
],
|
| 1060 |
-
"image_sha256": [
|
| 1061 |
-
"b902747a3c53c0e90e17ad8989afebe7972777c03e46705e11ec2c224bc4c95c"
|
| 1062 |
-
],
|
| 1063 |
-
"image_group_id": "6a7fb033b83cf81f4373510c2f1938c2aeed63eb4a6b3ce818cdef006a78a7df",
|
| 1064 |
-
"manual_review": "pending"
|
| 1065 |
-
},
|
| 1066 |
-
{
|
| 1067 |
-
"split": "train",
|
| 1068 |
-
"source": "vision/intergps",
|
| 1069 |
-
"state": "Find the measure of the altitude drawn to the hypotenuse.",
|
| 1070 |
-
"question": "Choose the criterion that best answers the question.",
|
| 1071 |
-
"options": [
|
| 1072 |
-
"\\sqrt { 297 }",
|
| 1073 |
-
"27",
|
| 1074 |
-
"297",
|
| 1075 |
-
"11"
|
| 1076 |
-
],
|
| 1077 |
-
"target": [
|
| 1078 |
-
1.0,
|
| 1079 |
-
0.0,
|
| 1080 |
-
0.0,
|
| 1081 |
-
0.0
|
| 1082 |
-
],
|
| 1083 |
-
"image_sha256": [
|
| 1084 |
-
"776fd6afdefe8daa84d079702cbe8a39d27f5b8f737ca112114a558c1d5a2b00"
|
| 1085 |
-
],
|
| 1086 |
-
"image_group_id": "5843b3463b315787f78bc51c",
|
| 1087 |
-
"manual_review": "pending"
|
| 1088 |
-
},
|
| 1089 |
-
{
|
| 1090 |
-
"split": "train",
|
| 1091 |
-
"source": "vision/clevr/material",
|
| 1092 |
-
"state": "What material is the tiny object that is behind the matte cube that is behind the purple matte cube that is on the left side of the metal cylinder?\nEnsure brevity in your answer.",
|
| 1093 |
-
"question": "Choose the criterion that best describes the state.",
|
| 1094 |
-
"options": [
|
| 1095 |
-
"rubber",
|
| 1096 |
-
"metal"
|
| 1097 |
-
],
|
| 1098 |
-
"target": [
|
| 1099 |
-
0.0,
|
| 1100 |
-
1.0
|
| 1101 |
-
],
|
| 1102 |
-
"image_sha256": [
|
| 1103 |
-
"224f2a1b172a3e60687577c6f2ee5e550b4f25a3ec4f81d816a9d7f5f9015614"
|
| 1104 |
-
],
|
| 1105 |
-
"image_group_id": "eccbd21623f3ff74ce53c1d8f9b19c8119c569f188364b789dd03a55bd7a9809",
|
| 1106 |
-
"manual_review": "pending"
|
| 1107 |
-
},
|
| 1108 |
-
{
|
| 1109 |
-
"split": "train",
|
| 1110 |
-
"source": "vision/tallyqa/count",
|
| 1111 |
-
"state": "How many of the buses are yellow?\nGive a very brief answer.",
|
| 1112 |
-
"question": "How many? Choose the count that answers the question about the image.",
|
| 1113 |
-
"options": [
|
| 1114 |
-
"0",
|
| 1115 |
-
"1",
|
| 1116 |
-
"2",
|
| 1117 |
-
"3",
|
| 1118 |
-
"4",
|
| 1119 |
-
"5",
|
| 1120 |
-
"6",
|
| 1121 |
-
"7",
|
| 1122 |
-
"8",
|
| 1123 |
-
"9",
|
| 1124 |
-
"10",
|
| 1125 |
-
"11",
|
| 1126 |
-
"12",
|
| 1127 |
-
"13",
|
| 1128 |
-
"14",
|
| 1129 |
-
"15"
|
| 1130 |
-
],
|
| 1131 |
-
"target": [
|
| 1132 |
-
0.0,
|
| 1133 |
-
1.0,
|
| 1134 |
-
0.0,
|
| 1135 |
-
0.0,
|
| 1136 |
-
0.0,
|
| 1137 |
-
0.0,
|
| 1138 |
-
0.0,
|
| 1139 |
-
0.0,
|
| 1140 |
-
0.0,
|
| 1141 |
-
0.0,
|
| 1142 |
-
0.0,
|
| 1143 |
-
0.0,
|
| 1144 |
-
0.0,
|
| 1145 |
-
0.0,
|
| 1146 |
-
0.0,
|
| 1147 |
-
0.0
|
| 1148 |
-
],
|
| 1149 |
-
"image_sha256": [
|
| 1150 |
-
"c8c3dd4082c53bceae35b48fe4c3d3da4ec5184a8f283274d11d02a5bcfc0b58"
|
| 1151 |
-
],
|
| 1152 |
-
"image_group_id": "254d6e4cdaa0dd3ab1455688ba28fa7f8711b0579e2ac01f9a9335e8ec901fc6",
|
| 1153 |
-
"manual_review": "pending"
|
| 1154 |
-
},
|
| 1155 |
-
{
|
| 1156 |
-
"split": "train",
|
| 1157 |
-
"source": "vision/aokvqa",
|
| 1158 |
-
"state": "What is the vegetable the broccoli is being cooked with called?",
|
| 1159 |
-
"question": "Choose the criterion that best answers the question.",
|
| 1160 |
-
"options": [
|
| 1161 |
-
"onions",
|
| 1162 |
-
"turnips",
|
| 1163 |
-
"carrots",
|
| 1164 |
-
"brussels sprouts"
|
| 1165 |
-
],
|
| 1166 |
-
"target": [
|
| 1167 |
-
1.0,
|
| 1168 |
-
0.0,
|
| 1169 |
-
0.0,
|
| 1170 |
-
0.0
|
| 1171 |
-
],
|
| 1172 |
-
"image_sha256": [
|
| 1173 |
-
"9add1365f2e8943a58db4b63c62fd13ab652b41f980c5fa894878991ac5df088"
|
| 1174 |
-
],
|
| 1175 |
-
"image_group_id": "cdc9cb6b1ca92511ea55c702",
|
| 1176 |
-
"manual_review": "pending"
|
| 1177 |
-
},
|
| 1178 |
-
{
|
| 1179 |
-
"split": "train",
|
| 1180 |
-
"source": "vision/tqa",
|
| 1181 |
-
"state": "In the diagram, which planet would take the longest to travel its orbit around the sun?",
|
| 1182 |
-
"question": "Choose the criterion that best answers the question.",
|
| 1183 |
-
"options": [
|
| 1184 |
-
"earth.",
|
| 1185 |
-
"saturn.",
|
| 1186 |
-
"pluto.",
|
| 1187 |
-
"mercury."
|
| 1188 |
-
],
|
| 1189 |
-
"target": [
|
| 1190 |
-
0.0,
|
| 1191 |
-
0.0,
|
| 1192 |
-
1.0,
|
| 1193 |
-
0.0
|
| 1194 |
-
],
|
| 1195 |
-
"image_sha256": [
|
| 1196 |
-
"b2c5183e79a558e8ce496c9504ed22e2b0c8db986f7336ffb04853acb6f51e8c"
|
| 1197 |
-
],
|
| 1198 |
-
"image_group_id": "a165e087d571d240578926a1",
|
| 1199 |
-
"manual_review": "pending"
|
| 1200 |
-
},
|
| 1201 |
-
{
|
| 1202 |
-
"split": "train",
|
| 1203 |
-
"source": "vision/tqa",
|
| 1204 |
-
"state": "How many components are needed for photosynthesis to occur?",
|
| 1205 |
-
"question": "Choose the criterion that best answers the question.",
|
| 1206 |
-
"options": [
|
| 1207 |
-
"3.",
|
| 1208 |
-
"2.",
|
| 1209 |
-
"4.",
|
| 1210 |
-
"1."
|
| 1211 |
-
],
|
| 1212 |
-
"target": [
|
| 1213 |
-
1.0,
|
| 1214 |
-
0.0,
|
| 1215 |
-
0.0,
|
| 1216 |
-
0.0
|
| 1217 |
-
],
|
| 1218 |
-
"image_sha256": [
|
| 1219 |
-
"144d5b3cfb8c33523eacd90566a1cc5829b31b6d7cb56b2c1777a1c5b73f3fec"
|
| 1220 |
-
],
|
| 1221 |
-
"image_group_id": "27e68882e72660a7ec8ed060",
|
| 1222 |
-
"manual_review": "pending"
|
| 1223 |
-
},
|
| 1224 |
-
{
|
| 1225 |
-
"split": "train",
|
| 1226 |
-
"source": "vision/clevr/size",
|
| 1227 |
-
"state": "There is a sphere that is left of the tiny rubber thing to the left of the small ball to the right of the big brown rubber cube; what size is it?\nYour answer should be very brief.",
|
| 1228 |
-
"question": "Choose the criterion that best describes the state.",
|
| 1229 |
-
"options": [
|
| 1230 |
-
"small",
|
| 1231 |
-
"large"
|
| 1232 |
-
],
|
| 1233 |
-
"target": [
|
| 1234 |
-
1.0,
|
| 1235 |
-
0.0
|
| 1236 |
-
],
|
| 1237 |
-
"image_sha256": [
|
| 1238 |
-
"fbafffd5971090bd9b35b371a3bb20cc2c8953cb4277c3c5d1d4e9844561c492"
|
| 1239 |
-
],
|
| 1240 |
-
"image_group_id": "3596017e956bbe34303a0bfc79f950f3db7dea146d57d7c4de5aa01dfc2e7b7a",
|
| 1241 |
-
"manual_review": "pending"
|
| 1242 |
-
},
|
| 1243 |
-
{
|
| 1244 |
-
"split": "train",
|
| 1245 |
-
"source": "vision/clevr/shape",
|
| 1246 |
-
"state": "The purple thing on the right side of the big metallic thing has what shape?\nYour answer should be compact.",
|
| 1247 |
-
"question": "Choose the criterion that best describes the state.",
|
| 1248 |
-
"options": [
|
| 1249 |
-
"cube",
|
| 1250 |
-
"sphere",
|
| 1251 |
-
"cylinder"
|
| 1252 |
-
],
|
| 1253 |
-
"target": [
|
| 1254 |
-
0.0,
|
| 1255 |
-
0.0,
|
| 1256 |
-
1.0
|
| 1257 |
-
],
|
| 1258 |
-
"image_sha256": [
|
| 1259 |
-
"d432ac67fb9b9e12325761ae496b7e5be8135d23b8fe19a70ec6b3d0ad0b1db2"
|
| 1260 |
-
],
|
| 1261 |
-
"image_group_id": "68f22a7a84b2e0b0dc3bb6fe5fa31ee56a5bf5a2c9691389da25bf11e6fd26bc",
|
| 1262 |
-
"manual_review": "pending"
|
| 1263 |
-
},
|
| 1264 |
-
{
|
| 1265 |
-
"split": "train",
|
| 1266 |
-
"source": "vision/clevr/size",
|
| 1267 |
-
"state": "What is the size of the metal cylinder on the right side of the green metallic ball?\nProvide a short and direct response.",
|
| 1268 |
-
"question": "Choose the criterion that best describes the state.",
|
| 1269 |
-
"options": [
|
| 1270 |
-
"small",
|
| 1271 |
-
"large"
|
| 1272 |
-
],
|
| 1273 |
-
"target": [
|
| 1274 |
-
1.0,
|
| 1275 |
-
0.0
|
| 1276 |
-
],
|
| 1277 |
-
"image_sha256": [
|
| 1278 |
-
"7f47827609b362e6cd7df5511be48ab65f3c5aae60d7c604b2550c86454c5c11"
|
| 1279 |
-
],
|
| 1280 |
-
"image_group_id": "928b5c2863390f59b28424850990256508fe270fa570bcad1b89fdb2afb435fb",
|
| 1281 |
-
"manual_review": "pending"
|
| 1282 |
-
},
|
| 1283 |
-
{
|
| 1284 |
-
"split": "train",
|
| 1285 |
-
"source": "vision/aokvqa",
|
| 1286 |
-
"state": "Which one of these items were added to the pizza without precooking?",
|
| 1287 |
-
"question": "Choose the criterion that best answers the question.",
|
| 1288 |
-
"options": [
|
| 1289 |
-
"sauce",
|
| 1290 |
-
"corn",
|
| 1291 |
-
"meat",
|
| 1292 |
-
"tomato"
|
| 1293 |
-
],
|
| 1294 |
-
"target": [
|
| 1295 |
-
0.0,
|
| 1296 |
-
0.0,
|
| 1297 |
-
0.0,
|
| 1298 |
-
1.0
|
| 1299 |
-
],
|
| 1300 |
-
"image_sha256": [
|
| 1301 |
-
"c88d29d1a5ceddde5f92d167d7d212569dfe57d57db107cf14f19f97e880b99a"
|
| 1302 |
-
],
|
| 1303 |
-
"image_group_id": "45ed6b125c34cf94f5ed3a91",
|
| 1304 |
-
"manual_review": "pending"
|
| 1305 |
-
},
|
| 1306 |
-
{
|
| 1307 |
-
"split": "train",
|
| 1308 |
-
"source": "vision/vsr/yesno",
|
| 1309 |
-
"state": "Is the caption \"The person is in front of the tv.\" a true representation of the image?\nAnswer yes or no.",
|
| 1310 |
-
"question": "Is the spatial statement true for the image?",
|
| 1311 |
-
"options": [
|
| 1312 |
-
"No",
|
| 1313 |
-
"Yes"
|
| 1314 |
-
],
|
| 1315 |
-
"target": [
|
| 1316 |
-
0.0,
|
| 1317 |
-
1.0
|
| 1318 |
-
],
|
| 1319 |
-
"image_sha256": [
|
| 1320 |
-
"9526352785ca743c9bf74076688f01036907f82780a96d5a07d8a50b3db46029"
|
| 1321 |
-
],
|
| 1322 |
-
"image_group_id": "789aba1ff1f43fba0fa17f9d",
|
| 1323 |
-
"manual_review": "pending"
|
| 1324 |
-
},
|
| 1325 |
-
{
|
| 1326 |
-
"split": "train",
|
| 1327 |
-
"source": "vision/vsr/yesno",
|
| 1328 |
-
"state": "Does the image validate the caption \"The bus is facing away from the cow.\"?\nAnswer yes or no.",
|
| 1329 |
-
"question": "Is the spatial statement true for the image?",
|
| 1330 |
-
"options": [
|
| 1331 |
-
"No",
|
| 1332 |
-
"Yes"
|
| 1333 |
-
],
|
| 1334 |
-
"target": [
|
| 1335 |
-
1.0,
|
| 1336 |
-
0.0
|
| 1337 |
-
],
|
| 1338 |
-
"image_sha256": [
|
| 1339 |
-
"46b0a539296c62135b308fd7653d870dc6899ec92f63774260320cf18eb26864"
|
| 1340 |
-
],
|
| 1341 |
-
"image_group_id": "ea074b15050df05a18687b05",
|
| 1342 |
-
"manual_review": "pending"
|
| 1343 |
-
},
|
| 1344 |
-
{
|
| 1345 |
-
"split": "train",
|
| 1346 |
-
"source": "vision/clevr/size",
|
| 1347 |
-
"state": "What is the size of the object that is right of the big purple matte object and behind the small ball?\nProvide a succinct answer.",
|
| 1348 |
-
"question": "Choose the criterion that best describes the state.",
|
| 1349 |
-
"options": [
|
| 1350 |
-
"small",
|
| 1351 |
-
"large"
|
| 1352 |
-
],
|
| 1353 |
-
"target": [
|
| 1354 |
-
0.0,
|
| 1355 |
-
1.0
|
| 1356 |
-
],
|
| 1357 |
-
"image_sha256": [
|
| 1358 |
-
"1977853ac2b8eaab8c197c8b1bf026403b96e0715c256d01b0a4542ac9fc42fe"
|
| 1359 |
-
],
|
| 1360 |
-
"image_group_id": "7685f7f7b04e622f2fd5428f598ad61fa5fa33b6ce8c1524f48e70eb5716586c",
|
| 1361 |
-
"manual_review": "pending"
|
| 1362 |
-
},
|
| 1363 |
-
{
|
| 1364 |
-
"split": "train",
|
| 1365 |
-
"source": "vision/ai2d",
|
| 1366 |
-
"state": "From the above food web diagram, which species is secondary consumer",
|
| 1367 |
-
"question": "Choose the criterion that best answers the question.",
|
| 1368 |
-
"options": [
|
| 1369 |
-
"hawk",
|
| 1370 |
-
"leaf",
|
| 1371 |
-
"warm",
|
| 1372 |
-
"blackbird"
|
| 1373 |
-
],
|
| 1374 |
-
"target": [
|
| 1375 |
-
0.0,
|
| 1376 |
-
0.0,
|
| 1377 |
-
0.0,
|
| 1378 |
-
1.0
|
| 1379 |
-
],
|
| 1380 |
-
"image_sha256": [
|
| 1381 |
-
"5a53bee9c7e7eeb0f7c41991ecceb725dc51bb8ff8d455bffff5ce483f332e1e"
|
| 1382 |
-
],
|
| 1383 |
-
"image_group_id": "2d4cdad245afd3b25b4b388c",
|
| 1384 |
-
"manual_review": "pending"
|
| 1385 |
-
},
|
| 1386 |
-
{
|
| 1387 |
-
"split": "train",
|
| 1388 |
-
"source": "vision/rico-widget/grid7",
|
| 1389 |
-
"state": "click watches",
|
| 1390 |
-
"question": "Which cell contains the described widget center in a 7-row, 7-column grid over the displayed image?",
|
| 1391 |
-
"options": [
|
| 1392 |
-
"r0c0",
|
| 1393 |
-
"r0c1",
|
| 1394 |
-
"r0c2",
|
| 1395 |
-
"r0c3",
|
| 1396 |
-
"r0c4",
|
| 1397 |
-
"r0c5",
|
| 1398 |
-
"r0c6",
|
| 1399 |
-
"r1c0",
|
| 1400 |
-
"r1c1",
|
| 1401 |
-
"r1c2",
|
| 1402 |
-
"r1c3",
|
| 1403 |
-
"r1c4",
|
| 1404 |
-
"r1c5",
|
| 1405 |
-
"r1c6",
|
| 1406 |
-
"r2c0",
|
| 1407 |
-
"r2c1",
|
| 1408 |
-
"r2c2",
|
| 1409 |
-
"r2c3",
|
| 1410 |
-
"r2c4",
|
| 1411 |
-
"r2c5",
|
| 1412 |
-
"r2c6",
|
| 1413 |
-
"r3c0",
|
| 1414 |
-
"r3c1",
|
| 1415 |
-
"r3c2",
|
| 1416 |
-
"r3c3",
|
| 1417 |
-
"r3c4",
|
| 1418 |
-
"r3c5",
|
| 1419 |
-
"r3c6",
|
| 1420 |
-
"r4c0",
|
| 1421 |
-
"r4c1",
|
| 1422 |
-
"r4c2",
|
| 1423 |
-
"r4c3",
|
| 1424 |
-
"r4c4",
|
| 1425 |
-
"r4c5",
|
| 1426 |
-
"r4c6",
|
| 1427 |
-
"r5c0",
|
| 1428 |
-
"r5c1",
|
| 1429 |
-
"r5c2",
|
| 1430 |
-
"r5c3",
|
| 1431 |
-
"r5c4",
|
| 1432 |
-
"r5c5",
|
| 1433 |
-
"r5c6",
|
| 1434 |
-
"r6c0",
|
| 1435 |
-
"r6c1",
|
| 1436 |
-
"r6c2",
|
| 1437 |
-
"r6c3",
|
| 1438 |
-
"r6c4",
|
| 1439 |
-
"r6c5",
|
| 1440 |
-
"r6c6"
|
| 1441 |
-
],
|
| 1442 |
-
"target": [
|
| 1443 |
-
0.0,
|
| 1444 |
-
0.0,
|
| 1445 |
-
0.0,
|
| 1446 |
-
0.0,
|
| 1447 |
-
0.0,
|
| 1448 |
-
0.0,
|
| 1449 |
-
0.0,
|
| 1450 |
-
0.0,
|
| 1451 |
-
0.0,
|
| 1452 |
-
0.0,
|
| 1453 |
-
1.0,
|
| 1454 |
-
0.0,
|
| 1455 |
-
0.0,
|
| 1456 |
-
0.0,
|
| 1457 |
-
0.0,
|
| 1458 |
-
0.0,
|
| 1459 |
-
0.0,
|
| 1460 |
-
0.0,
|
| 1461 |
-
0.0,
|
| 1462 |
-
0.0,
|
| 1463 |
-
0.0,
|
| 1464 |
-
0.0,
|
| 1465 |
-
0.0,
|
| 1466 |
-
0.0,
|
| 1467 |
-
0.0,
|
| 1468 |
-
0.0,
|
| 1469 |
-
0.0,
|
| 1470 |
-
0.0,
|
| 1471 |
-
0.0,
|
| 1472 |
-
0.0,
|
| 1473 |
-
0.0,
|
| 1474 |
-
0.0,
|
| 1475 |
-
0.0,
|
| 1476 |
-
0.0,
|
| 1477 |
-
0.0,
|
| 1478 |
-
0.0,
|
| 1479 |
-
0.0,
|
| 1480 |
-
0.0,
|
| 1481 |
-
0.0,
|
| 1482 |
-
0.0,
|
| 1483 |
-
0.0,
|
| 1484 |
-
0.0,
|
| 1485 |
-
0.0,
|
| 1486 |
-
0.0,
|
| 1487 |
-
0.0,
|
| 1488 |
-
0.0,
|
| 1489 |
-
0.0,
|
| 1490 |
-
0.0,
|
| 1491 |
-
0.0
|
| 1492 |
-
],
|
| 1493 |
-
"image_sha256": [
|
| 1494 |
-
"13e02f8f008de2277307405ef824a6841ca495296eda9b2345c21d3dadc4550a"
|
| 1495 |
-
],
|
| 1496 |
-
"image_group_id": "rico:35917",
|
| 1497 |
-
"manual_review": "pending"
|
| 1498 |
-
},
|
| 1499 |
-
{
|
| 1500 |
-
"split": "train",
|
| 1501 |
-
"source": "vision/clevr/color",
|
| 1502 |
-
"state": "There is a tiny thing that is in front of the green metallic thing; what is its color?\nMake the answer very short.",
|
| 1503 |
-
"question": "Choose the criterion that best describes the state.",
|
| 1504 |
-
"options": [
|
| 1505 |
-
"gray",
|
| 1506 |
-
"red",
|
| 1507 |
-
"blue",
|
| 1508 |
-
"green",
|
| 1509 |
-
"brown",
|
| 1510 |
-
"purple",
|
| 1511 |
-
"cyan",
|
| 1512 |
-
"yellow"
|
| 1513 |
-
],
|
| 1514 |
-
"target": [
|
| 1515 |
-
0.0,
|
| 1516 |
-
1.0,
|
| 1517 |
-
0.0,
|
| 1518 |
-
0.0,
|
| 1519 |
-
0.0,
|
| 1520 |
-
0.0,
|
| 1521 |
-
0.0,
|
| 1522 |
-
0.0
|
| 1523 |
-
],
|
| 1524 |
-
"image_sha256": [
|
| 1525 |
-
"545f003ab22aaf09b7ef246ffd731aba24484cf5f61e9d43dd62fc357217541d"
|
| 1526 |
-
],
|
| 1527 |
-
"image_group_id": "21138c751d36e14c9f974811468859b9f71a9f9eff004a45f014abbf7168fec7",
|
| 1528 |
-
"manual_review": "pending"
|
| 1529 |
-
},
|
| 1530 |
-
{
|
| 1531 |
-
"split": "train",
|
| 1532 |
-
"source": "vision/rico-widget/grid7",
|
| 1533 |
-
"state": "select advertisement",
|
| 1534 |
-
"question": "Which cell contains the described widget center in a 7-row, 7-column grid over the displayed image?",
|
| 1535 |
-
"options": [
|
| 1536 |
-
"r0c0",
|
| 1537 |
-
"r0c1",
|
| 1538 |
-
"r0c2",
|
| 1539 |
-
"r0c3",
|
| 1540 |
-
"r0c4",
|
| 1541 |
-
"r0c5",
|
| 1542 |
-
"r0c6",
|
| 1543 |
-
"r1c0",
|
| 1544 |
-
"r1c1",
|
| 1545 |
-
"r1c2",
|
| 1546 |
-
"r1c3",
|
| 1547 |
-
"r1c4",
|
| 1548 |
-
"r1c5",
|
| 1549 |
-
"r1c6",
|
| 1550 |
-
"r2c0",
|
| 1551 |
-
"r2c1",
|
| 1552 |
-
"r2c2",
|
| 1553 |
-
"r2c3",
|
| 1554 |
-
"r2c4",
|
| 1555 |
-
"r2c5",
|
| 1556 |
-
"r2c6",
|
| 1557 |
-
"r3c0",
|
| 1558 |
-
"r3c1",
|
| 1559 |
-
"r3c2",
|
| 1560 |
-
"r3c3",
|
| 1561 |
-
"r3c4",
|
| 1562 |
-
"r3c5",
|
| 1563 |
-
"r3c6",
|
| 1564 |
-
"r4c0",
|
| 1565 |
-
"r4c1",
|
| 1566 |
-
"r4c2",
|
| 1567 |
-
"r4c3",
|
| 1568 |
-
"r4c4",
|
| 1569 |
-
"r4c5",
|
| 1570 |
-
"r4c6",
|
| 1571 |
-
"r5c0",
|
| 1572 |
-
"r5c1",
|
| 1573 |
-
"r5c2",
|
| 1574 |
-
"r5c3",
|
| 1575 |
-
"r5c4",
|
| 1576 |
-
"r5c5",
|
| 1577 |
-
"r5c6",
|
| 1578 |
-
"r6c0",
|
| 1579 |
-
"r6c1",
|
| 1580 |
-
"r6c2",
|
| 1581 |
-
"r6c3",
|
| 1582 |
-
"r6c4",
|
| 1583 |
-
"r6c5",
|
| 1584 |
-
"r6c6"
|
| 1585 |
-
],
|
| 1586 |
-
"target": [
|
| 1587 |
-
0.0,
|
| 1588 |
-
0.0,
|
| 1589 |
-
0.0,
|
| 1590 |
-
0.0,
|
| 1591 |
-
0.0,
|
| 1592 |
-
0.0,
|
| 1593 |
-
0.0,
|
| 1594 |
-
0.0,
|
| 1595 |
-
0.0,
|
| 1596 |
-
0.0,
|
| 1597 |
-
0.0,
|
| 1598 |
-
0.0,
|
| 1599 |
-
0.0,
|
| 1600 |
-
0.0,
|
| 1601 |
-
0.0,
|
| 1602 |
-
0.0,
|
| 1603 |
-
0.0,
|
| 1604 |
-
0.0,
|
| 1605 |
-
0.0,
|
| 1606 |
-
0.0,
|
| 1607 |
-
0.0,
|
| 1608 |
-
0.0,
|
| 1609 |
-
0.0,
|
| 1610 |
-
0.0,
|
| 1611 |
-
0.0,
|
| 1612 |
-
0.0,
|
| 1613 |
-
0.0,
|
| 1614 |
-
0.0,
|
| 1615 |
-
0.0,
|
| 1616 |
-
0.0,
|
| 1617 |
-
0.0,
|
| 1618 |
-
0.0,
|
| 1619 |
-
0.0,
|
| 1620 |
-
0.0,
|
| 1621 |
-
0.0,
|
| 1622 |
-
0.0,
|
| 1623 |
-
0.0,
|
| 1624 |
-
0.0,
|
| 1625 |
-
0.0,
|
| 1626 |
-
0.0,
|
| 1627 |
-
0.0,
|
| 1628 |
-
0.0,
|
| 1629 |
-
0.0,
|
| 1630 |
-
0.0,
|
| 1631 |
-
0.0,
|
| 1632 |
-
1.0,
|
| 1633 |
-
0.0,
|
| 1634 |
-
0.0,
|
| 1635 |
-
0.0
|
| 1636 |
-
],
|
| 1637 |
-
"image_sha256": [
|
| 1638 |
-
"ff95a971292340580bd6007bf74a3e645408c78ffc3c566ff2c8e45fc0ac1990"
|
| 1639 |
-
],
|
| 1640 |
-
"image_group_id": "rico:52194",
|
| 1641 |
-
"manual_review": "pending"
|
| 1642 |
-
},
|
| 1643 |
-
{
|
| 1644 |
-
"split": "train",
|
| 1645 |
-
"source": "vision/rico-widget/grid7",
|
| 1646 |
-
"state": "visit the advertisement site",
|
| 1647 |
-
"question": "Which cell contains the described widget center in a 7-row, 7-column grid over the displayed image?",
|
| 1648 |
-
"options": [
|
| 1649 |
-
"r0c0",
|
| 1650 |
-
"r0c1",
|
| 1651 |
-
"r0c2",
|
| 1652 |
-
"r0c3",
|
| 1653 |
-
"r0c4",
|
| 1654 |
-
"r0c5",
|
| 1655 |
-
"r0c6",
|
| 1656 |
-
"r1c0",
|
| 1657 |
-
"r1c1",
|
| 1658 |
-
"r1c2",
|
| 1659 |
-
"r1c3",
|
| 1660 |
-
"r1c4",
|
| 1661 |
-
"r1c5",
|
| 1662 |
-
"r1c6",
|
| 1663 |
-
"r2c0",
|
| 1664 |
-
"r2c1",
|
| 1665 |
-
"r2c2",
|
| 1666 |
-
"r2c3",
|
| 1667 |
-
"r2c4",
|
| 1668 |
-
"r2c5",
|
| 1669 |
-
"r2c6",
|
| 1670 |
-
"r3c0",
|
| 1671 |
-
"r3c1",
|
| 1672 |
-
"r3c2",
|
| 1673 |
-
"r3c3",
|
| 1674 |
-
"r3c4",
|
| 1675 |
-
"r3c5",
|
| 1676 |
-
"r3c6",
|
| 1677 |
-
"r4c0",
|
| 1678 |
-
"r4c1",
|
| 1679 |
-
"r4c2",
|
| 1680 |
-
"r4c3",
|
| 1681 |
-
"r4c4",
|
| 1682 |
-
"r4c5",
|
| 1683 |
-
"r4c6",
|
| 1684 |
-
"r5c0",
|
| 1685 |
-
"r5c1",
|
| 1686 |
-
"r5c2",
|
| 1687 |
-
"r5c3",
|
| 1688 |
-
"r5c4",
|
| 1689 |
-
"r5c5",
|
| 1690 |
-
"r5c6",
|
| 1691 |
-
"r6c0",
|
| 1692 |
-
"r6c1",
|
| 1693 |
-
"r6c2",
|
| 1694 |
-
"r6c3",
|
| 1695 |
-
"r6c4",
|
| 1696 |
-
"r6c5",
|
| 1697 |
-
"r6c6"
|
| 1698 |
-
],
|
| 1699 |
-
"target": [
|
| 1700 |
-
0.0,
|
| 1701 |
-
0.0,
|
| 1702 |
-
0.0,
|
| 1703 |
-
0.0,
|
| 1704 |
-
0.0,
|
| 1705 |
-
0.0,
|
| 1706 |
-
0.0,
|
| 1707 |
-
0.0,
|
| 1708 |
-
0.0,
|
| 1709 |
-
0.0,
|
| 1710 |
-
0.0,
|
| 1711 |
-
0.0,
|
| 1712 |
-
0.0,
|
| 1713 |
-
0.0,
|
| 1714 |
-
0.0,
|
| 1715 |
-
0.0,
|
| 1716 |
-
0.0,
|
| 1717 |
-
0.0,
|
| 1718 |
-
0.0,
|
| 1719 |
-
0.0,
|
| 1720 |
-
0.0,
|
| 1721 |
-
0.0,
|
| 1722 |
-
0.0,
|
| 1723 |
-
0.0,
|
| 1724 |
-
0.0,
|
| 1725 |
-
0.0,
|
| 1726 |
-
0.0,
|
| 1727 |
-
0.0,
|
| 1728 |
-
0.0,
|
| 1729 |
-
0.0,
|
| 1730 |
-
0.0,
|
| 1731 |
-
0.0,
|
| 1732 |
-
0.0,
|
| 1733 |
-
0.0,
|
| 1734 |
-
0.0,
|
| 1735 |
-
0.0,
|
| 1736 |
-
0.0,
|
| 1737 |
-
0.0,
|
| 1738 |
-
0.0,
|
| 1739 |
-
0.0,
|
| 1740 |
-
0.0,
|
| 1741 |
-
0.0,
|
| 1742 |
-
0.0,
|
| 1743 |
-
0.0,
|
| 1744 |
-
0.0,
|
| 1745 |
-
1.0,
|
| 1746 |
-
0.0,
|
| 1747 |
-
0.0,
|
| 1748 |
-
0.0
|
| 1749 |
-
],
|
| 1750 |
-
"image_sha256": [
|
| 1751 |
-
"11643ddf3d486e489e988c816f864d56d35f210fba6404239159238428c9576e"
|
| 1752 |
-
],
|
| 1753 |
-
"image_group_id": "rico:11264",
|
| 1754 |
-
"manual_review": "pending"
|
| 1755 |
-
}
|
| 1756 |
-
],
|
| 1757 |
-
"family_export": {
|
| 1758 |
-
"source_build": "build/vision-expanded-1000",
|
| 1759 |
-
"note": "Prior coarse source/recast audit; this release is a deterministic subset, with no new preprocessing or source rows."
|
| 1760 |
-
}
|
| 1761 |
-
}
|
|
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vision/release-audit.json
DELETED
|
@@ -1,73 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"repo_id": "tasksource/tasksource-jev-typed-decisions",
|
| 3 |
-
"config": "vision",
|
| 4 |
-
"splits": {
|
| 5 |
-
"train": {
|
| 6 |
-
"rows": 12997,
|
| 7 |
-
"sources": {
|
| 8 |
-
"vision/clevr/yesno": 166,
|
| 9 |
-
"vision/clevr/size": 167,
|
| 10 |
-
"vision/clevr/count": 166,
|
| 11 |
-
"vision/clevr/material": 166,
|
| 12 |
-
"vision/clevr/color": 168,
|
| 13 |
-
"vision/clevr/shape": 167,
|
| 14 |
-
"vision/scienceqa-img": 1000,
|
| 15 |
-
"vision/nlvr2": 1000,
|
| 16 |
-
"vision/figureqa": 1000,
|
| 17 |
-
"vision/ai2d": 1000,
|
| 18 |
-
"vision/mapqa/yesno": 1000,
|
| 19 |
-
"vision/tqa": 1000,
|
| 20 |
-
"vision/visual7w": 1000,
|
| 21 |
-
"vision/tallyqa/count": 1000,
|
| 22 |
-
"vision/intergps": 1000,
|
| 23 |
-
"vision/rico-widget/element": 498,
|
| 24 |
-
"vision/rico-widget/grid7": 502,
|
| 25 |
-
"vision/vsr/yesno": 1000,
|
| 26 |
-
"vision/aokvqa": 997
|
| 27 |
-
},
|
| 28 |
-
"families": {
|
| 29 |
-
"vision/clevr": 1000,
|
| 30 |
-
"vision/scienceqa-img": 1000,
|
| 31 |
-
"vision/nlvr2": 1000,
|
| 32 |
-
"vision/figureqa": 1000,
|
| 33 |
-
"vision/ai2d": 1000,
|
| 34 |
-
"vision/mapqa": 1000,
|
| 35 |
-
"vision/tqa": 1000,
|
| 36 |
-
"vision/visual7w": 1000,
|
| 37 |
-
"vision/tallyqa": 1000,
|
| 38 |
-
"vision/intergps": 1000,
|
| 39 |
-
"vision/rico-widget": 1000,
|
| 40 |
-
"vision/vsr": 1000,
|
| 41 |
-
"vision/aokvqa": 997
|
| 42 |
-
}
|
| 43 |
-
},
|
| 44 |
-
"test": {
|
| 45 |
-
"rows": 185,
|
| 46 |
-
"sources": {
|
| 47 |
-
"vision/rico-widget/element": 50,
|
| 48 |
-
"vision/rico-widget/grid7": 50,
|
| 49 |
-
"vision/scienceqa-img": 85
|
| 50 |
-
},
|
| 51 |
-
"families": {
|
| 52 |
-
"vision/rico-widget": 100,
|
| 53 |
-
"vision/scienceqa-img": 85
|
| 54 |
-
}
|
| 55 |
-
},
|
| 56 |
-
"validation": {
|
| 57 |
-
"rows": 380,
|
| 58 |
-
"sources": {
|
| 59 |
-
"vision/nlvr2": 100,
|
| 60 |
-
"vision/rico-widget/element": 50,
|
| 61 |
-
"vision/rico-widget/grid7": 50,
|
| 62 |
-
"vision/aokvqa": 99,
|
| 63 |
-
"vision/scienceqa-img": 81
|
| 64 |
-
},
|
| 65 |
-
"families": {
|
| 66 |
-
"vision/nlvr2": 100,
|
| 67 |
-
"vision/rico-widget": 100,
|
| 68 |
-
"vision/aokvqa": 99,
|
| 69 |
-
"vision/scienceqa-img": 81
|
| 70 |
-
}
|
| 71 |
-
}
|
| 72 |
-
}
|
| 73 |
-
}
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|
vision/sources.yaml
DELETED
|
@@ -1,238 +0,0 @@
|
|
| 1 |
-
repo_id: tasksource/tasksource-jev-typed-decisions
|
| 2 |
-
tasksource_commit: 852adca7d6e3fa9a04f73834cc5472846fbf25b2
|
| 3 |
-
datasets:
|
| 4 |
-
- HuggingFaceM4/A-OKVQA
|
| 5 |
-
- HuggingFaceM4/the_cauldron
|
| 6 |
-
- bevaya/RICO-WidgetCaptioning
|
| 7 |
-
- derek-thomas/ScienceQA
|
| 8 |
-
- pingzhili/nlvr2
|
| 9 |
-
- tasksource/ai2d
|
| 10 |
-
- vikhyatk/figureqa
|
| 11 |
-
sources:
|
| 12 |
-
vision/ai2d:
|
| 13 |
-
rows:
|
| 14 |
-
train: 1000
|
| 15 |
-
dataset: tasksource/ai2d
|
| 16 |
-
revision: 24013c0e6bb313a1fc4dfa79f9db936072f6a3af
|
| 17 |
-
originals:
|
| 18 |
-
- HuggingFaceM4/the_cauldron
|
| 19 |
-
revisions:
|
| 20 |
-
tasksource/ai2d: 24013c0e6bb313a1fc4dfa79f9db936072f6a3af
|
| 21 |
-
license: cc-by-sa-4.0
|
| 22 |
-
license_use: commercial
|
| 23 |
-
card_licenses:
|
| 24 |
-
tasksource/ai2d:
|
| 25 |
-
- cc-by-sa-4.0
|
| 26 |
-
family: vision/ai2d
|
| 27 |
-
vision/aokvqa:
|
| 28 |
-
rows:
|
| 29 |
-
train: 997
|
| 30 |
-
validation: 99
|
| 31 |
-
dataset: HuggingFaceM4/A-OKVQA
|
| 32 |
-
revision: d1b0efa3a436e9101dfbde3752db7607da696c35
|
| 33 |
-
revisions:
|
| 34 |
-
HuggingFaceM4/A-OKVQA: d1b0efa3a436e9101dfbde3752db7607da696c35
|
| 35 |
-
license: unspecified
|
| 36 |
-
license_use: unspecified
|
| 37 |
-
family: vision/aokvqa
|
| 38 |
-
vision/clevr/color:
|
| 39 |
-
rows:
|
| 40 |
-
train: 168
|
| 41 |
-
dataset: HuggingFaceM4/the_cauldron
|
| 42 |
-
config: clevr
|
| 43 |
-
revision: 847a98a779b1652d65111daf20c972dfcd333605
|
| 44 |
-
revisions:
|
| 45 |
-
HuggingFaceM4/the_cauldron: 847a98a779b1652d65111daf20c972dfcd333605
|
| 46 |
-
license: unspecified
|
| 47 |
-
license_use: unspecified
|
| 48 |
-
family: vision/clevr
|
| 49 |
-
vision/clevr/count:
|
| 50 |
-
rows:
|
| 51 |
-
train: 166
|
| 52 |
-
dataset: HuggingFaceM4/the_cauldron
|
| 53 |
-
config: clevr
|
| 54 |
-
revision: 847a98a779b1652d65111daf20c972dfcd333605
|
| 55 |
-
revisions:
|
| 56 |
-
HuggingFaceM4/the_cauldron: 847a98a779b1652d65111daf20c972dfcd333605
|
| 57 |
-
license: unspecified
|
| 58 |
-
license_use: unspecified
|
| 59 |
-
family: vision/clevr
|
| 60 |
-
vision/clevr/material:
|
| 61 |
-
rows:
|
| 62 |
-
train: 166
|
| 63 |
-
dataset: HuggingFaceM4/the_cauldron
|
| 64 |
-
config: clevr
|
| 65 |
-
revision: 847a98a779b1652d65111daf20c972dfcd333605
|
| 66 |
-
revisions:
|
| 67 |
-
HuggingFaceM4/the_cauldron: 847a98a779b1652d65111daf20c972dfcd333605
|
| 68 |
-
license: unspecified
|
| 69 |
-
license_use: unspecified
|
| 70 |
-
family: vision/clevr
|
| 71 |
-
vision/clevr/shape:
|
| 72 |
-
rows:
|
| 73 |
-
train: 167
|
| 74 |
-
dataset: HuggingFaceM4/the_cauldron
|
| 75 |
-
config: clevr
|
| 76 |
-
revision: 847a98a779b1652d65111daf20c972dfcd333605
|
| 77 |
-
revisions:
|
| 78 |
-
HuggingFaceM4/the_cauldron: 847a98a779b1652d65111daf20c972dfcd333605
|
| 79 |
-
license: unspecified
|
| 80 |
-
license_use: unspecified
|
| 81 |
-
family: vision/clevr
|
| 82 |
-
vision/clevr/size:
|
| 83 |
-
rows:
|
| 84 |
-
train: 167
|
| 85 |
-
dataset: HuggingFaceM4/the_cauldron
|
| 86 |
-
config: clevr
|
| 87 |
-
revision: 847a98a779b1652d65111daf20c972dfcd333605
|
| 88 |
-
revisions:
|
| 89 |
-
HuggingFaceM4/the_cauldron: 847a98a779b1652d65111daf20c972dfcd333605
|
| 90 |
-
license: unspecified
|
| 91 |
-
license_use: unspecified
|
| 92 |
-
family: vision/clevr
|
| 93 |
-
vision/clevr/yesno:
|
| 94 |
-
rows:
|
| 95 |
-
train: 166
|
| 96 |
-
dataset: HuggingFaceM4/the_cauldron
|
| 97 |
-
config: clevr
|
| 98 |
-
revision: 847a98a779b1652d65111daf20c972dfcd333605
|
| 99 |
-
revisions:
|
| 100 |
-
HuggingFaceM4/the_cauldron: 847a98a779b1652d65111daf20c972dfcd333605
|
| 101 |
-
license: unspecified
|
| 102 |
-
license_use: unspecified
|
| 103 |
-
family: vision/clevr
|
| 104 |
-
vision/figureqa:
|
| 105 |
-
rows:
|
| 106 |
-
train: 1000
|
| 107 |
-
dataset: vikhyatk/figureqa
|
| 108 |
-
revision: 1afe55949decfebe4ccaaa0ce175ff4bce28d24c
|
| 109 |
-
revisions:
|
| 110 |
-
vikhyatk/figureqa: 1afe55949decfebe4ccaaa0ce175ff4bce28d24c
|
| 111 |
-
license: unspecified
|
| 112 |
-
license_use: unspecified
|
| 113 |
-
family: vision/figureqa
|
| 114 |
-
vision/intergps:
|
| 115 |
-
rows:
|
| 116 |
-
train: 1000
|
| 117 |
-
dataset: HuggingFaceM4/the_cauldron
|
| 118 |
-
config: intergps
|
| 119 |
-
revision: 847a98a779b1652d65111daf20c972dfcd333605
|
| 120 |
-
revisions:
|
| 121 |
-
HuggingFaceM4/the_cauldron: 847a98a779b1652d65111daf20c972dfcd333605
|
| 122 |
-
license: unspecified
|
| 123 |
-
license_use: unspecified
|
| 124 |
-
family: vision/intergps
|
| 125 |
-
vision/mapqa/yesno:
|
| 126 |
-
rows:
|
| 127 |
-
train: 1000
|
| 128 |
-
dataset: HuggingFaceM4/the_cauldron
|
| 129 |
-
config: mapqa
|
| 130 |
-
revision: 847a98a779b1652d65111daf20c972dfcd333605
|
| 131 |
-
revisions:
|
| 132 |
-
HuggingFaceM4/the_cauldron: 847a98a779b1652d65111daf20c972dfcd333605
|
| 133 |
-
license: unspecified
|
| 134 |
-
license_use: unspecified
|
| 135 |
-
family: vision/mapqa
|
| 136 |
-
vision/nlvr2:
|
| 137 |
-
rows:
|
| 138 |
-
train: 1000
|
| 139 |
-
validation: 100
|
| 140 |
-
dataset: pingzhili/nlvr2
|
| 141 |
-
revision: 6ad9994db49bf1162feaecacc5554e5ca4a36487
|
| 142 |
-
revisions:
|
| 143 |
-
pingzhili/nlvr2: 6ad9994db49bf1162feaecacc5554e5ca4a36487
|
| 144 |
-
license: unspecified
|
| 145 |
-
license_use: unspecified
|
| 146 |
-
family: vision/nlvr2
|
| 147 |
-
vision/rico-widget/element:
|
| 148 |
-
rows:
|
| 149 |
-
train: 498
|
| 150 |
-
test: 50
|
| 151 |
-
validation: 50
|
| 152 |
-
dataset: bevaya/RICO-WidgetCaptioning
|
| 153 |
-
revision: 6ec57b56bebd722b9c646c78d0f34e1199b6d7a9
|
| 154 |
-
revisions:
|
| 155 |
-
bevaya/RICO-WidgetCaptioning: 6ec57b56bebd722b9c646c78d0f34e1199b6d7a9
|
| 156 |
-
license: cc-by-4.0
|
| 157 |
-
license_use: commercial
|
| 158 |
-
card_licenses:
|
| 159 |
-
bevaya/RICO-WidgetCaptioning:
|
| 160 |
-
- cc-by-4.0
|
| 161 |
-
family: vision/rico-widget
|
| 162 |
-
vision/rico-widget/grid7:
|
| 163 |
-
rows:
|
| 164 |
-
train: 502
|
| 165 |
-
test: 50
|
| 166 |
-
validation: 50
|
| 167 |
-
dataset: bevaya/RICO-WidgetCaptioning
|
| 168 |
-
revision: 6ec57b56bebd722b9c646c78d0f34e1199b6d7a9
|
| 169 |
-
revisions:
|
| 170 |
-
bevaya/RICO-WidgetCaptioning: 6ec57b56bebd722b9c646c78d0f34e1199b6d7a9
|
| 171 |
-
license: cc-by-4.0
|
| 172 |
-
license_use: commercial
|
| 173 |
-
card_licenses:
|
| 174 |
-
bevaya/RICO-WidgetCaptioning:
|
| 175 |
-
- cc-by-4.0
|
| 176 |
-
family: vision/rico-widget
|
| 177 |
-
vision/scienceqa-img:
|
| 178 |
-
rows:
|
| 179 |
-
train: 1000
|
| 180 |
-
test: 85
|
| 181 |
-
validation: 81
|
| 182 |
-
dataset: derek-thomas/ScienceQA
|
| 183 |
-
revision: f18b0a70359ebfb41f658fd564208d0355b013f4
|
| 184 |
-
revisions:
|
| 185 |
-
derek-thomas/ScienceQA: f18b0a70359ebfb41f658fd564208d0355b013f4
|
| 186 |
-
license: cc-by-sa-4.0, CC BY-NC-SA 4.0 (DPI)
|
| 187 |
-
license_use: non-commercial
|
| 188 |
-
card_licenses:
|
| 189 |
-
derek-thomas/ScienceQA:
|
| 190 |
-
- cc-by-sa-4.0
|
| 191 |
-
dpi_licenses:
|
| 192 |
-
- CC BY-NC-SA 4.0
|
| 193 |
-
family: vision/scienceqa-img
|
| 194 |
-
vision/tallyqa/count:
|
| 195 |
-
rows:
|
| 196 |
-
train: 1000
|
| 197 |
-
dataset: HuggingFaceM4/the_cauldron
|
| 198 |
-
config: tallyqa
|
| 199 |
-
revision: 847a98a779b1652d65111daf20c972dfcd333605
|
| 200 |
-
revisions:
|
| 201 |
-
HuggingFaceM4/the_cauldron: 847a98a779b1652d65111daf20c972dfcd333605
|
| 202 |
-
license: unspecified
|
| 203 |
-
license_use: unspecified
|
| 204 |
-
family: vision/tallyqa
|
| 205 |
-
vision/tqa:
|
| 206 |
-
rows:
|
| 207 |
-
train: 1000
|
| 208 |
-
dataset: HuggingFaceM4/the_cauldron
|
| 209 |
-
config: tqa
|
| 210 |
-
revision: 847a98a779b1652d65111daf20c972dfcd333605
|
| 211 |
-
revisions:
|
| 212 |
-
HuggingFaceM4/the_cauldron: 847a98a779b1652d65111daf20c972dfcd333605
|
| 213 |
-
license: unspecified
|
| 214 |
-
license_use: unspecified
|
| 215 |
-
family: vision/tqa
|
| 216 |
-
vision/visual7w:
|
| 217 |
-
rows:
|
| 218 |
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train: 1000
|
| 219 |
-
dataset: HuggingFaceM4/the_cauldron
|
| 220 |
-
config: visual7w
|
| 221 |
-
revision: 847a98a779b1652d65111daf20c972dfcd333605
|
| 222 |
-
revisions:
|
| 223 |
-
HuggingFaceM4/the_cauldron: 847a98a779b1652d65111daf20c972dfcd333605
|
| 224 |
-
license: unspecified
|
| 225 |
-
license_use: unspecified
|
| 226 |
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family: vision/visual7w
|
| 227 |
-
vision/vsr/yesno:
|
| 228 |
-
rows:
|
| 229 |
-
train: 1000
|
| 230 |
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dataset: HuggingFaceM4/the_cauldron
|
| 231 |
-
config: vsr
|
| 232 |
-
revision: 847a98a779b1652d65111daf20c972dfcd333605
|
| 233 |
-
revisions:
|
| 234 |
-
HuggingFaceM4/the_cauldron: 847a98a779b1652d65111daf20c972dfcd333605
|
| 235 |
-
license: unspecified
|
| 236 |
-
license_use: unspecified
|
| 237 |
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family: vision/vsr
|
| 238 |
-
export_tasksource_commit: b1548131bf57166d68c0a491cf71cb58ff3af54c
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