FineSightBench / croissant.json
Volavion's picture
Add RAI metadata to Croissant
0641efe verified
{
"@context": {
"@language": "en",
"@vocab": "https://schema.org/",
"arrayShape": "cr:arrayShape",
"citeAs": "cr:citeAs",
"column": "cr:column",
"conformsTo": "dct:conformsTo",
"containedIn": "cr:containedIn",
"cr": "http://mlcommons.org/croissant/",
"data": {
"@id": "cr:data",
"@type": "@json"
},
"dataBiases": "cr:dataBiases",
"dataCollection": "cr:dataCollection",
"dataType": {
"@id": "cr:dataType",
"@type": "@vocab"
},
"dct": "http://purl.org/dc/terms/",
"extract": "cr:extract",
"field": "cr:field",
"fileProperty": "cr:fileProperty",
"fileObject": "cr:fileObject",
"fileSet": "cr:fileSet",
"format": "cr:format",
"includes": "cr:includes",
"isArray": "cr:isArray",
"isLiveDataset": "cr:isLiveDataset",
"jsonPath": "cr:jsonPath",
"key": "cr:key",
"md5": "cr:md5",
"parentField": "cr:parentField",
"path": "cr:path",
"personalSensitiveInformation": "cr:personalSensitiveInformation",
"recordSet": "cr:recordSet",
"references": "cr:references",
"regex": "cr:regex",
"repeated": "cr:repeated",
"replace": "cr:replace",
"sc": "https://schema.org/",
"separator": "cr:separator",
"source": "cr:source",
"subField": "cr:subField",
"transform": "cr:transform",
"rai": "http://mlcommons.org/croissant/RAI/",
"prov": "http://www.w3.org/ns/prov#"
},
"@type": "sc:Dataset",
"distribution": [
{
"@type": "cr:FileObject",
"@id": "repo",
"name": "repo",
"description": "The Hugging Face git repository.",
"contentUrl": "https://huggingface.co/datasets/Volavion/FineSightBench/tree/refs%2Fconvert%2Fparquet",
"encodingFormat": "git+https",
"sha256": "https://github.com/mlcommons/croissant/issues/80"
},
{
"@type": "cr:FileSet",
"@id": "parquet-files-for-config-default",
"containedIn": {
"@id": "repo"
},
"encodingFormat": "application/x-parquet",
"includes": "default/*/*.parquet"
}
],
"recordSet": [
{
"@type": "cr:RecordSet",
"dataType": "cr:Split",
"key": {
"@id": "default_splits/split_name"
},
"@id": "default_splits",
"name": "default_splits",
"description": "Splits for the default config.",
"field": [
{
"@type": "cr:Field",
"@id": "default_splits/split_name",
"dataType": "sc:Text"
}
],
"data": [
{
"default_splits/split_name": "perception"
},
{
"default_splits/split_name": "reasoning"
}
]
},
{
"@type": "cr:RecordSet",
"@id": "default",
"description": "Volavion/FineSightBench - 'default' subset\n\nAdditional information:\n- 2 splits: perception, reasoning",
"field": [
{
"@type": "cr:Field",
"@id": "default/split",
"dataType": "sc:Text",
"source": {
"fileSet": {
"@id": "parquet-files-for-config-default"
},
"extract": {
"fileProperty": "fullpath"
},
"transform": {
"regex": "default/(?:partial-)?(perception|reasoning)/.+parquet$"
}
},
"references": {
"field": {
"@id": "default_splits/split_name"
}
}
},
{
"@type": "cr:Field",
"@id": "default/image",
"dataType": "sc:ImageObject",
"source": {
"fileSet": {
"@id": "parquet-files-for-config-default"
},
"extract": {
"column": "image"
},
"transform": {
"jsonPath": "bytes"
}
}
},
{
"@type": "cr:Field",
"@id": "default/image_id",
"dataType": "sc:Text",
"source": {
"fileSet": {
"@id": "parquet-files-for-config-default"
},
"extract": {
"column": "image_id"
}
}
},
{
"@type": "cr:Field",
"@id": "default/task_type",
"dataType": "sc:Text",
"source": {
"fileSet": {
"@id": "parquet-files-for-config-default"
},
"extract": {
"column": "task_type"
}
}
},
{
"@type": "cr:Field",
"@id": "default/question",
"dataType": "sc:Text",
"source": {
"fileSet": {
"@id": "parquet-files-for-config-default"
},
"extract": {
"column": "question"
}
}
},
{
"@type": "cr:Field",
"@id": "default/answer",
"dataType": "sc:Text",
"source": {
"fileSet": {
"@id": "parquet-files-for-config-default"
},
"extract": {
"column": "answer"
}
}
},
{
"@type": "cr:Field",
"@id": "default/difficulty",
"dataType": "sc:Text",
"source": {
"fileSet": {
"@id": "parquet-files-for-config-default"
},
"extract": {
"column": "difficulty"
}
}
},
{
"@type": "cr:Field",
"@id": "default/metadata",
"dataType": "sc:Text",
"source": {
"fileSet": {
"@id": "parquet-files-for-config-default"
},
"extract": {
"column": "metadata"
}
}
}
]
}
],
"conformsTo": "http://mlcommons.org/croissant/1.1",
"name": "FineSightBench",
"description": "\n\t\n\t\t\n\t\tFineSightBench\n\t\n\nFineSightBench is a fine-grained visual benchmark for evaluating Vision-Language Models (VLMs) on pixel-level perception and reasoning tasks. It combines two complementary image regimes:\n\nSynthetic canvas — controlled white-background images with precisely-sized geometric/semantic targets (letters, animals, shapes, blocks, dots).\nText in the wild (SynthText-style) — English words rendered onto real natural-scene photographs from the SynthText bg_img set, with… See the full description on the dataset page: https://huggingface.co/datasets/Volavion/FineSightBench.",
"alternateName": [
"Volavion/FineSightBench",
"FineSightBench"
],
"creator": {
"@type": "Person",
"name": "Lujun Li",
"url": "https://huggingface.co/Volavion"
},
"keywords": [
"visual-question-answering",
"image-classification",
"image-to-text",
"English",
"apache-2.0",
"1K - 10K",
"parquet",
"optimized-parquet",
"Image",
"Text",
"Datasets",
"Dask",
"Polars",
"Croissant",
"🇺🇸 Region: US",
"VLM-evaluation",
"fine-grained-visual-perception",
"fine-grained-visual-reasoning",
"text-in-the-wild",
"scene-text-recognition"
],
"license": "https://choosealicense.com/licenses/apache-2.0/",
"url": "https://huggingface.co/datasets/Volavion/FineSightBench",
"rai:dataLimitations": "This dataset contains only synthetic data and is intended for model testing and small-scale training only. It is not recommended to use this dataset for real-world decision-making scenarios.",
"rai:dataBiases": "This dataset may contain bias regarding icons. We only selected icons for a few animals for testing, not all animal icons. Furthermore, we used icons instead of actual animal images, which may introduce some bias.",
"rai:personalSensitiveInformation": "This dataset does not contain any personal or sensitive information.",
"rai:dataUseCases": "This dataset is primarily used for visual testing and validation of VLM, but it cannot be used as a benchmark for visual testing of real humans.",
"rai:dataSocialImpact": "This dataset will not cause any potential social impact, but it will raise public awareness and understanding of VLMs.",
"rai:hasSyntheticData": true,
"prov:wasDerivedFrom": [
{
"@id": "https://www.robots.ox.ac.uk/~vgg/data/scenetext/",
"prov:label": "SynthText in the Wild Dataset",
"sc:license": "Apache License 2.0"
}
],
"prov:wasGeneratedBy": [
{
"@type": "prov:Activity",
"prov:type": {
"@id": "https://www.wikidata.org/wiki/Q4929239"
},
"prov:label": "Github Download - https://github.com/ankush-me/SynthText?tab=Apache-2.0-1-ov-file#readme",
"sc:description": "For part of the dataset generated in FineSightBench"
}
]
}