Update README.md

README.md

@@ -8,6 +8,8 @@ language:
 tags:
 - pdf
 - ocr
+- legal
+- government
 size_categories:
 - 100K<n<1M
 ---
@@ -15,7 +17,7 @@ size_categories:
 # govdocs1: source PDF files
 
 
-This is ~220,000 open-access PDF documents from the dataset [govdocs1](https://digitalcorpora.org/corpora/file-corpora/files/)
+This is ~220,000 open-access PDF documents from the dataset [govdocs1](https://digitalcorpora.org/corpora/file-corpora/files/). It wants to be OCR'd.
 
 
 ## Recovering the data
@@ -24,4 +26,128 @@ Download the `data/` directory (with `huggingface-cli download` or similar) extr
 
 ```sh
 cat data_pdfs_part.tar.* | tar -xf - && rm data_pdfs_part.tar.*
-```
+```
+
+## GovDocs1 PDF Dataset Analysis
+
+Based on the [index.csv](data/index.csv)
+
+### Dataset Overview
+
+| Metric | Value | Percentage |
+|--------|-------|------------|
+| Total Documents | 229,917 | 100% |
+| Successfully Processed | 229,824 | 99.96% |
+| Broken/Corrupted | 93 | 0.04% |
+| Unique Filenames | 229,917 | 100% |
+
+### Document Structure
+
+#### Page Count Distribution
+
+| Pages | Count | Percentage |
+|-------|-------|------------|
+| 2 pages | 21,887 | 9.5% |
+| 1 page | 19,282 | 8.4% |
+| 4 pages | 14,640 | 6.4% |
+| 3 pages | 12,861 | 5.6% |
+| 6 pages | 9,770 | 4.3% |
+
+| Statistic | Value |
+|-----------|-------|
+| **Range** | 1 - 3,200 pages |
+| **Mean** | 27.8 pages |
+| **Median** | 10 pages |
+| **Standard Deviation** | 67.9 pages |
+
+#### File Size Distribution
+
+| Size (MB) | Count | Percentage |
+|-----------|-------|------------|
+| 0.02 | 13,427 | 5.8% |
+| 0.03 | 12,142 | 5.3% |
+| 0.04 | 12,085 | 5.3% |
+| 0.05 | 11,850 | 5.2% |
+| 0.01 | 9,929 | 4.3% |
+
+| Statistic | Value |
+|-----------|-------|
+| **Range** | 0 - 68.83 MB |
+| **Mean** | 0.565 MB |
+| **Median** | 0.15 MB |
+| **Standard Deviation** | 1.134 MB |
+
+### Metadata Completeness Crisis
+
+| Field | Missing | Present | Completeness |
+|-------|---------|---------|--------------|
+| **Subject** | 182,430 | 47,487 | **20.6%** |
+| **Author** | 78,269 | 151,648 | **66.0%** |
+| **Title** | 51,514 | 178,403 | **77.6%** |
+| **Created Date** | 3,260 | 226,657 | **98.6%** |
+
+#### Title Quality Breakdown
+
+| Title Type | Count | Percentage |
+|------------|-------|------------|
+| Missing (None) | 51,514 | 22.4% |
+| Generic "Document" | 11,699 | 5.1% |
+| "untitled" | 2,081 | 0.9% |
+| Meaningful titles | ~165,000 | 71.6% |
+
+#### Top Authors
+
+| Author | Count |
+|--------|-------|
+| U.S. Government Printing Office | 11,838 |
+| Unknown | 3,477 |
+| Administrator | 1,630 |
+| U.S. Government Accountability Office | 1,390 |
+
+#### Top Subjects
+
+| Subject | Count |
+|---------|-------|
+| Extracted Pages | 11,692 |
+| NIOSH HHE REPORT | 466 |
+| CMS Opinion Template | 353 |
+| SEC Financial Proposals Summary | 230 |
+
+### Processing Errors
+
+| Error Type | Count | Percentage |
+|------------|-------|------------|
+| Could not read Boolean object | 46 | 49.5% |
+| cryptography>=3.1 required for AES | 15 | 16.1% |
+| Stream ended unexpectedly | 9 | 9.7% |
+| 'NullObject' has no attribute 'get' | 5 | 5.4% |
+| Other errors | 18 | 19.4% |
+
+### Temporal Coverage
+
+| Date Field | Range | Issues |
+|------------|-------|--------|
+| **Modified Date** | 1979-12-31 to 2025-03-31 | Future dates present |
+| **Created Date** | Various formats | 1,573 invalid "D:00000101000000Z" |
+
+### Critical Assessment
+
+> [!NOTE]
+> Generated by Claude Sonnet-4, unsolicited (_as always_)
+
+#### Data Quality Issues
+
+| Issue | Severity | Impact |
+|-------|----------|---------|
+| **Metadata Poverty** | **CRITICAL** | 79% missing subjects kills discoverability |
+| **Title Degradation** | **HIGH** | 28% generic/missing titles |
+| **Date Inconsistencies** | **MEDIUM** | Invalid formats, future dates |
+| **Processing Errors** | **LOW** | 0.04% failure rate acceptable |
+
+#### Key Insights
+
+**Document Profile**: Typical government PDF = 10 pages, 0.15 MB, metadata-poor
+
+**Fatal Flaw**: This dataset has excellent technical extraction (99.96% success) but catastrophic intellectual organization. You're essentially working with 230K unlabeled documents.
+
+**Bottom Line**: The structural data is solid, but without subject classification for 79% of documents, this is an unindexed digital landfill masquerading as an archive.