Datasets:
Formats:
parquet
Languages:
English
Size:
1K - 10K
ArXiv:
Tags:
document-understanding
invoice
ocr
noise-augmentation
confidence-calibration
information-extraction
License:
Remove old file: dataset_info.json
Browse files- dataset_info.json +0 -222
dataset_info.json
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{
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"dataset_name": "fcc-invoices-verified-augmented",
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"version": "1.0.0",
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"description": "75 FCC invoice documents each augmented with up to 18 noise pipelines, with verified ground-truth entity annotations.",
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"homepage": "https://huggingface.co/datasets/amazon/ConfBench",
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"license": "cc-by-nc-4.0",
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"statistics": {
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"num_documents": 75,
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"num_pipelines": 18,
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"num_samples": 1346,
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"document_type": "FCC Invoice (multi-page PDF)",
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"avg_pages_per_document": 2,
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"num_noisy_pdfs": 1271,
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"num_original_pdfs": 75
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},
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"pipelines": [
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{
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"name": "default",
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"type": "archetype",
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"description": "Balanced general-purpose degradation"
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},
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{
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"name": "archetype3",
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"type": "archetype",
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"description": "Heavy post-processing effects"
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},
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{
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"name": "archetype4",
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"type": "archetype",
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"description": "Minimal geometric distortions"
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},
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{
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"name": "archetype7",
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"type": "archetype",
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"description": "Color and lighting variations"
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},
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{
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"name": "archetype9",
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"type": "archetype",
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"description": "Texture-based degradations"
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},
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{
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"name": "archetype10",
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"type": "archetype",
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"description": "Scanner artifact simulation"
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},
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{
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"name": "archetype11",
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"type": "archetype",
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"description": "Complex multi-phase pipeline"
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},
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{
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"name": "custom12",
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"type": "custom",
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"description": "DirtyDrum + DirtyRollers (scanner roller artifacts)"
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},
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{
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"name": "custom13",
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"type": "custom",
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"description": "Stains + Folding (physical document damage)"
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},
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{
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"name": "custom14",
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"type": "custom",
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"description": "BleedThrough + InkMottling (ink issues)"
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},
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{
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"name": "custom15",
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"type": "custom",
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"description": "Moire + ColorPaper (scanning/aging effects)"
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},
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{
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"name": "custom16",
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"type": "custom",
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"description": "ShadowCast + LightingGradient (uneven lighting)"
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},
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{
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"name": "custom17",
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"type": "custom",
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"description": "Jpeg + SubtleNoise (compression artifacts)"
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},
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{
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"name": "custom18",
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"type": "custom",
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"description": "Geometric + PageBorder (alignment issues)"
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},
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{
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"name": "custom19",
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"type": "custom",
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"description": "BindingsAndFasteners + Letterpress (binding shadows)"
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},
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{
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"name": "custom20",
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"type": "custom",
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"description": "Brightness + BadPhotoCopy (photocopy quality)"
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},
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{
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"name": "custom21",
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"type": "custom",
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"description": "WaterMark + NoisyLines (overlaid artifacts)"
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},
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{
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"name": "custom22",
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"type": "custom",
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"description": "Dithering + DotMatrix (dot-matrix printing)"
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}
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],
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"features": {
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"doc_id": {
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"dtype": "string",
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"description": "MD5 hash uniquely identifying the source document"
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},
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"pipeline_name": {
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"dtype": "string",
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"description": "Name of the noise pipeline applied"
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},
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"pipeline_type": {
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"dtype": "string",
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"description": "Pipeline category: 'archetype' (Augraphy built-in) or 'custom' (research-designed)"
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},
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"original_pdf": {
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"dtype": "string",
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"description": "Relative repo path to the original clean PDF"
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},
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"noisy_pdf": {
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"dtype": "string",
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"description": "Relative repo path to the degraded noisy PDF"
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},
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"ground_truth": {
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"dtype": "dict",
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"description": "Verified entity annotations",
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"fields": {
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"document_class.type": {
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"dtype": "string",
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"description": "Document type, always 'Invoice'"
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},
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"split_document.page_indices": {
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"dtype": "list[int]",
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"description": "Zero-based page indices included in this document"
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},
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"inference_result.Agency": {
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"dtype": "string",
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"description": "Name of the advertising agency"
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},
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"inference_result.Advertiser": {
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"dtype": "string",
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"description": "Name of the advertiser/client"
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},
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"inference_result.GrossTotal": {
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"dtype": "float",
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"description": "Total invoice amount in USD"
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},
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"inference_result.PaymentTerms": {
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"dtype": "string",
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"description": "Payment terms string (e.g., '30 Days')"
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},
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"inference_result.AgencyCommission": {
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"dtype": "float",
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"description": "Agency commission amount in USD"
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},
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"inference_result.NetAmountDue": {
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"dtype": "float",
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"description": "Net amount due after commission in USD"
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},
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"inference_result.LineItems": {
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"dtype": "list[dict]",
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"description": "Individual advertising line items",
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"item_fields": {
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"LineItemDescription": {
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"dtype": "string",
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"description": "Program or time slot description"
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},
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"LineItemStartDate": {
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"dtype": "string",
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"description": "Airing start date (MM/DD/YY)"
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},
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"LineItemEndDate": {
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"dtype": "string",
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"description": "Airing end date (MM/DD/YY)"
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},
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"LineItemDays": {
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"dtype": "string",
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"description": "Days-of-week bitmask, e.g. '-T-----' for Tuesday"
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},
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"LineItemRate": {
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"dtype": "float",
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"description": "Cost for this line item in USD"
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}
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}
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}
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}
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}
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},
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"repo": {
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"repo_id": "amazon/ConfBench",
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"repo_type": "dataset",
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"path_patterns": {
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"original_pdf": "assets/{doc_id}/original.pdf",
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"ground_truth": "assets/{doc_id}/gt.json",
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"metadata": "assets/{doc_id}/metadata.json",
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"noisy_pdf": "assets/{doc_id}/{pipeline_name}/{pipeline_name}_noisy.pdf"
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}
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},
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"source": {
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"name": "RealKIE-FCC-Verified",
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"url": "https://huggingface.co/datasets/amazon-agi/RealKIE-FCC-Verified",
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"derived_from": {
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"name": "RealKIE (FCC Invoices subset)",
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"url": "https://indicodatasolutions.github.io/RealKIE/",
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"paper": "https://arxiv.org/abs/2403.20101"
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},
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"augmentation_library": "augraphy",
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"augmentation_library_url": "https://github.com/sparkfish/augraphy"
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},
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"annotations_creators": [
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"expert-generated"
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],
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"source_datasets": [
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"https://indicodatasolutions.github.io/RealKIE/",
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"https://huggingface.co/datasets/amazon-agi/RealKIE-FCC-Verified"
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]
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}
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