{
  "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": "assets/{doc_id}/original.pdf",
      "ground_truth": "assets/{doc_id}/gt.json",
      "metadata": "assets/{doc_id}/metadata.json",
      "noisy_pdf": "assets/{doc_id}/{pipeline_name}/{pipeline_name}_noisy.pdf"
    }
  },
  "source": {
    "name": "RealKIE-FCC-Verified",
    "url": "https://huggingface.co/datasets/amazon-agi/RealKIE-FCC-Verified",
    "derived_from": {
      "name": "RealKIE (FCC Invoices subset)",
      "url": "https://indicodatasolutions.github.io/RealKIE/",
      "paper": "https://arxiv.org/abs/2403.20101"
    },
    "augmentation_library": "augraphy",
    "augmentation_library_url": "https://github.com/sparkfish/augraphy"
  },
  "annotations_creators": [
    "expert-generated"
  ],
  "source_datasets": [
    "https://indicodatasolutions.github.io/RealKIE/",
    "https://huggingface.co/datasets/amazon-agi/RealKIE-FCC-Verified"
  ]
}