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              "text": "an Infinite Creator than any other gift. Every infringement of the law of continence",
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      "document": "form:osha_300a",
      "source_url": "https://huggingface.co/datasets/datalab-to/omni_parse_bench/resolve/961c0f89a2da701f5ce53afbd5e80aa469b0369a/pages/forms_federal-scan_osha_300a-p1.png",
      "pdf": "pages/forms_federal-scan_osha_300a-p1.png",
      "pdf_sha256": "04a344da2c147b2839207aa7ef0809704e2f8602d319014f1f3b17217689d645",
      "gold_path": "gold/forms_federal-scan_osha_300a-p1.json",
      "image": "images-2560/ocr-forms-7.png",
      "image_sha256": "1c0d30fd8a930381e26816b5126ce52d4bb38d16a8793c02803600e45c79d151",
      "width": 2560,
      "height": 1646,
      "original_size": [
        3080,
        1980
      ],
      "tests": [
        {
          "id": "ff2_osha_300a_worn_value_1",
          "test_type": "present",
          "output_type": "html",
          "derivation": "authored",
          "tags": [
            "Latn",
            "eng",
            "form",
            "multi_column"
          ],
          "args": {
            "content": {
              "text": "50811 Ramsey Flats Suite 781",
              "max_diffs": 0
            }
          },
          "settings": {}
        },
        {
          "id": "ff2_osha_300a_worn_value_2",
          "test_type": "present",
          "output_type": "html",
          "derivation": "authored",
          "tags": [
            "Latn",
            "eng",
            "form",
            "multi_column"
          ],
          "args": {
            "content": {
              "text": "Tucker, Castro and Horton",
              "max_diffs": 0
            }
          },
          "settings": {}
        },
        {
          "id": "ff2_osha_300a_worn_value_3",
          "test_type": "present",
          "output_type": "html",
          "derivation": "authored",
          "tags": [
            "Latn",
            "eng",
            "form",
            "multi_column"
          ],
          "args": {
            "content": {
              "text": "Hospital, acute care",
              "max_diffs": 0
            }
          },
          "settings": {}
        }
      ]
    },
    {
      "id": "ocr-forms-8",
      "group": "forms",
      "upstream_page_id": "forms_federal-scan_irs_w7-p1",
      "document": "form:irs_w7",
      "source_url": "https://huggingface.co/datasets/datalab-to/omni_parse_bench/resolve/961c0f89a2da701f5ce53afbd5e80aa469b0369a/pages/forms_federal-scan_irs_w7-p1.png",
      "pdf": "pages/forms_federal-scan_irs_w7-p1.png",
      "pdf_sha256": "edcaa7ff5b24983fb17b2eae1f8c89400ebec0a76b3f39efe6337b462cd84ba5",
      "gold_path": "gold/forms_federal-scan_irs_w7-p1.json",
      "image": "images-2560/ocr-forms-8.png",
      "image_sha256": "3389297c7e3fed492b3170468910137e0112cfe926dd3d0c31c2b8acd1b44985",
      "width": 1870,
      "height": 2370,
      "original_size": [
        1870,
        2370
      ],
      "tests": [
        {
          "id": "ff2_irs_w7_worn_value_0",
          "test_type": "present",
          "output_type": "html",
          "derivation": "authored",
          "tags": [
            "Latn",
            "eng",
            "form",
            "handwriting"
          ],
          "args": {
            "content": {
              "text": "Joan Mendoza",
              "max_diffs": 0
            }
          },
          "settings": {}
        },
        {
          "id": "ff2_irs_w7_worn_value_1",
          "test_type": "present",
          "output_type": "html",
          "derivation": "authored",
          "tags": [
            "Latn",
            "eng",
            "form",
            "handwriting"
          ],
          "args": {
            "content": {
              "text": "Scott-Bishop",
              "max_diffs": 0
            }
          },
          "settings": {}
        }
      ]
    }
  ],
  "probes": [
    "ocr-columns-1",
    "ocr-small-print-1",
    "ocr-old-scans-1",
    "ocr-forms-1",
    "ocr-columns-5",
    "ocr-old-scans-5"
  ],
  "render": {
    "dpi": 200,
    "max_long_side": 2560,
    "resize": "Pillow 12.0.0 Lanczos, never upscale",
    "source_images": "Original pixels before shared size cap",
    "mode": "RGB PNG",
    "pypdfium2": "5.14.0",
    "compression": 6
  },
  "sampling": "SHA256(edge-ocr-v1, page_id) order; first eight renderable pages per fixed category containing an English-tagged HTML text-family test; fixed independently of engine scores.",
  "excluded_before_inference": [],
  "scorer": {
    "package": "omni-parse-bench",
    "version": "1.0.0rc1",
    "types": [
      "present",
      "order",
      "repeat"
    ],
    "input": "Identical HTML-escaped plain text in a pre element for all engines; no engine-specific normalization.",
    "overall": "Mean of the four category pass rates, each weighted equally. Not the full OmniParseBench score."
  },
  "licenses": [
    "ODC-BY 1.0: converted olmOCR-bench pages/tests; source document rights retained.",
    "US federal forms: public-domain documents; added tests CC-BY-4.0."
  ],
  "credits": [
    "Allen Institute for AI: olmOCR-bench (Poznanski et al., 2025).",
    "Datalab: OmniParseBench conversion and added tests.",
    "Issuing US government agencies: forms."
  ],
  "limitations": [
    "32 English pages; a screening test, not a comprehensive OCR ranking.",
    "Tests check selected passages and reading order, not every character, tables, formulas or layout labels.",
    "Public test data may overlap model training. The benchmark maintainer also makes Indra; most selected tests originate with Ai2."
  ],
  "suite_id": "decf6212023d7e74d44000bf02db43bc2a9d9a35b176b5dff57dff268c77f7fd"
}
