Update dataset_info.json to reference HF hosting

dataset_info.json

@@ -0,0 +1,216 @@
+{
+  "dataset_name": "fcc-invoices-verified-augmented",
+  "version": "1.0.0",
+  "description": "75 FCC invoice documents each augmented with up to 18 noise pipelines, with verified ground-truth entity annotations.",
+  "homepage": "https://huggingface.co/datasets/amazon/ConfBench",
+  "license": "cc-by-nc-4.0",
+  "statistics": {
+    "num_documents": 75,
+    "num_pipelines": 18,
+    "num_samples": 1346,
+    "document_type": "FCC Invoice (multi-page PDF)",
+    "avg_pages_per_document": 2,
+    "num_noisy_pdfs": 1271,
+    "num_original_pdfs": 75
+  },
+  "pipelines": [
+    {
+      "name": "default",
+      "type": "archetype",
+      "description": "Balanced general-purpose degradation"
+    },
+    {
+      "name": "archetype3",
+      "type": "archetype",
+      "description": "Heavy post-processing effects"
+    },
+    {
+      "name": "archetype4",
+      "type": "archetype",
+      "description": "Minimal geometric distortions"
+    },
+    {
+      "name": "archetype7",
+      "type": "archetype",
+      "description": "Color and lighting variations"
+    },
+    {
+      "name": "archetype9",
+      "type": "archetype",
+      "description": "Texture-based degradations"
+    },
+    {
+      "name": "archetype10",
+      "type": "archetype",
+      "description": "Scanner artifact simulation"
+    },
+    {
+      "name": "archetype11",
+      "type": "archetype",
+      "description": "Complex multi-phase pipeline"
+    },
+    {
+      "name": "custom12",
+      "type": "custom",
+      "description": "DirtyDrum + DirtyRollers (scanner roller artifacts)"
+    },
+    {
+      "name": "custom13",
+      "type": "custom",
+      "description": "Stains + Folding (physical document damage)"
+    },
+    {
+      "name": "custom14",
+      "type": "custom",
+      "description": "BleedThrough + InkMottling (ink issues)"
+    },
+    {
+      "name": "custom15",
+      "type": "custom",
+      "description": "Moire + ColorPaper (scanning/aging effects)"
+    },
+    {
+      "name": "custom16",
+      "type": "custom",
+      "description": "ShadowCast + LightingGradient (uneven lighting)"
+    },
+    {
+      "name": "custom17",
+      "type": "custom",
+      "description": "Jpeg + SubtleNoise (compression artifacts)"
+    },
+    {
+      "name": "custom18",
+      "type": "custom",
+      "description": "Geometric + PageBorder (alignment issues)"
+    },
+    {
+      "name": "custom19",
+      "type": "custom",
+      "description": "BindingsAndFasteners + Letterpress (binding shadows)"
+    },
+    {
+      "name": "custom20",
+      "type": "custom",
+      "description": "Brightness + BadPhotoCopy (photocopy quality)"
+    },
+    {
+      "name": "custom21",
+      "type": "custom",
+      "description": "WaterMark + NoisyLines (overlaid artifacts)"
+    },
+    {
+      "name": "custom22",
+      "type": "custom",
+      "description": "Dithering + DotMatrix (dot-matrix printing)"
+    }
+  ],
+  "features": {
+    "doc_id": {
+      "dtype": "string",
+      "description": "MD5 hash uniquely identifying the source document"
+    },
+    "pipeline_name": {
+      "dtype": "string",
+      "description": "Name of the noise pipeline applied"
+    },
+    "pipeline_type": {
+      "dtype": "string",
+      "description": "Pipeline category: 'archetype' (Augraphy built-in) or 'custom' (research-designed)"
+    },
+    "original_pdf": {
+      "dtype": "string",
+      "description": "Relative repo path to the original clean PDF"
+    },
+    "noisy_pdf": {
+      "dtype": "string",
+      "description": "Relative repo path to the degraded noisy PDF"
+    },
+    "ground_truth": {
+      "dtype": "dict",
+      "description": "Verified entity annotations",
+      "fields": {
+        "document_class.type": {
+          "dtype": "string",
+          "description": "Document type, always 'Invoice'"
+        },
+        "split_document.page_indices": {
+          "dtype": "list[int]",
+          "description": "Zero-based page indices included in this document"
+        },
+        "inference_result.Agency": {
+          "dtype": "string",
+          "description": "Name of the advertising agency"
+        },
+        "inference_result.Advertiser": {
+          "dtype": "string",
+          "description": "Name of the advertiser/client"
+        },
+        "inference_result.GrossTotal": {
+          "dtype": "float",
+          "description": "Total invoice amount in USD"
+        },
+        "inference_result.PaymentTerms": {
+          "dtype": "string",
+          "description": "Payment terms string (e.g., '30 Days')"
+        },
+        "inference_result.AgencyCommission": {
+          "dtype": "float",
+          "description": "Agency commission amount in USD"
+        },
+        "inference_result.NetAmountDue": {
+          "dtype": "float",
+          "description": "Net amount due after commission in USD"
+        },
+        "inference_result.LineItems": {
+          "dtype": "list[dict]",
+          "description": "Individual advertising line items",
+          "item_fields": {
+            "LineItemDescription": {
+              "dtype": "string",
+              "description": "Program or time slot description"
+            },
+            "LineItemStartDate": {
+              "dtype": "string",
+              "description": "Airing start date (MM/DD/YY)"
+            },
+            "LineItemEndDate": {
+              "dtype": "string",
+              "description": "Airing end date (MM/DD/YY)"
+            },
+            "LineItemDays": {
+              "dtype": "string",
+              "description": "Days-of-week bitmask, e.g. '-T-----' for Tuesday"
+            },
+            "LineItemRate": {
+              "dtype": "float",
+              "description": "Cost for this line item in USD"
+            }
+          }
+        }
+      }
+    }
+  },
+  "repo": {
+    "repo_id": "amazon/ConfBench",
+    "repo_type": "dataset",
+    "path_patterns": {
+      "original_pdf": "{doc_id}/original.pdf",
+      "ground_truth": "{doc_id}/gt.json",
+      "metadata": "{doc_id}/metadata.json",
+      "noisy_pdf": "{doc_id}/{pipeline_name}/{pipeline_name}_noisy.pdf"
+    }
+  },
+  "source": {
+    "name": "RealKIE FCC Invoices (Verified subset)",
+    "url": "https://indicodatasolutions.github.io/RealKIE/",
+    "augmentation_library": "augraphy",
+    "augmentation_library_url": "https://github.com/sparkfish/augraphy"
+  },
+  "annotations_creators": [
+    "expert-generated"
+  ],
+  "source_datasets": [
+    "https://indicodatasolutions.github.io/RealKIE/"
+  ]
+}