| # SER & RE Training Data |
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| Datasets for Semantic Entity Recognition (SER) and Relation Extraction (RE) training. |
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| ## Datasets |
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| ### 1. XFUND (~/data/ser_re/xfund/) |
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| - **Source**: https://github.com/doc-analysis/XFUND/releases/tag/v1.0 |
| - **Languages**: zh, ja, es, fr, it, de, pt (7 languages) |
| - **Documents**: 149 train + 50 val per language = 1,393 total |
| - **Images**: 1,393 JPG files ({lang}_{split}_{idx}.jpg) |
| - **Annotations**: {lang}.train.json / {lang}.val.json |
| - **Format**: Word-level bboxes, BIO labels (question/answer/header/other), entity linking (Q->A pairs) |
| - **Linking pairs**: ~80,000 train + ~25,000 val across all languages |
| - **License**: CC BY-NC-SA 4.0 |
| - **Label distribution** (train, all languages combined): |
| - question: ~21,462 |
| - answer: ~30,510 |
| - header: ~1,321 |
| - other: ~18,706 |
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| ### 2. FUNSD (~/data/ser_re/funsd/) |
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| - **Source**: https://guillaumejaume.github.io/FUNSD/ |
| - **Language**: English |
| - **Documents**: 149 train + 50 test = 199 total |
| - **Images**: 199 PNG files in dataset/{split}_data/images/ |
| - **Annotations**: JSON files in dataset/{split}_data/annotations/ |
| - **Format**: Entity-level bboxes with word-level sub-boxes, labels (question/answer/header/other), entity linking |
| - **Linking pairs**: 8,472 train + 2,152 test = 10,624 total |
| - **License**: CC BY-NC-SA 4.0 (derived from RVL-CDIP / tobacco litigation docs) |
| - **Label distribution**: |
| - Train: 3,266 question, 2,802 answer, 441 header, 902 other |
| - Test: 1,077 question, 821 answer, 122 header, 312 other |
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| ### 3. DocILE (~/data/ser_re/docile/) -- NOT YET DOWNLOADED |
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| - **Source**: https://docile.rossum.ai/ |
| - **Requires manual registration**: Fill form at https://forms.gle/poJqGXrxoftWrUsc8 |
| - **Documents**: 6,680 annotated + 100,000 synthetic + ~1M unlabeled |
| - **Task**: Key Information Extraction (KIE) + Line Item Recognition (LIR) |
| - **Format**: PDF documents with field-level annotations (bboxes + field types) |
| - **License**: Research use only (requires legal agreement) |
| - **Python package**: `pip3 install docile-benchmark` |
| - See docile/README.md for download instructions |
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| ## Annotation Format Summary |
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| All datasets use a similar annotation structure: |
| - **SER labels**: question, answer, header, other (BIO tagging at word or entity level) |
| - **RE annotations**: `linking` field with pairs of (source_id, target_id) mapping questions to answers |
| - **Bounding boxes**: [x0, y0, x1, y1] pixel coordinates (XFUND uses 0-1000 normalized coords) |
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| ## Combined Stats (excluding DocILE) |
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| | Dataset | Language | Train Docs | Val/Test Docs | Total Linking Pairs | |
| |---------|----------|-----------|---------------|---------------------| |
| | XFUND | zh | 149 | 50 | 17,238 | |
| | XFUND | ja | 149 | 50 | 12,130 | |
| | XFUND | es | 149 | 50 | 15,268 | |
| | XFUND | fr | 149 | 50 | 11,275 | |
| | XFUND | it | 149 | 50 | 13,790 | |
| | XFUND | de | 149 | 50 | 14,568 | |
| | XFUND | pt | 149 | 50 | 18,022 | |
| | FUNSD | en | 149 | 50 | 10,624 | |
| | **Total** | | **1,341** | **450** | **112,915** | |
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