Add RAI metadata to Croissant

croissant.json

@@ -0,0 +1,279 @@
+{
+  "@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"
+    }
+  ]
+}