Add finepdfs-stats.py documentation to README

- Add script table at top listing both scripts
- Add full documentation section for finepdfs-stats.py
- Include example commands and link to example output

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

README.md

@@ -14,6 +14,13 @@ Calculate essential text statistics for HuggingFace datasets using streaming mod
 
 ## Scripts
 
+| Script | Description |
+|--------|-------------|
+| `basic-stats.py` | Essential text statistics (chars, words, sentences) for any dataset |
+| `finepdfs-stats.py` | Temporal analysis of educational quality in finepdfs-edu |
+
+---
+
 ### `basic-stats.py` - Essential Text Statistics
 
 Calculate fundamental text statistics using pure Python (no ML dependencies). Uses streaming mode by default, so it works on datasets of any size without downloading the full dataset.
@@ -228,6 +235,54 @@ Character types are classified as:
 
 Simple heuristic-based sentence boundary detection using `.!?` as terminators. This is fast but not as accurate as NLP-based sentence tokenization. Good enough for statistical analysis.
 
+---
+
+### `finepdfs-stats.py` - Temporal Educational Quality Analysis
+
+Analyze educational quality trends across CommonCrawl dumps using Polars streaming. Answers: **"Is the web getting more educational over time?"**
+
+**Features:**
+- ✅ Polars streaming (no download of 300GB+ dataset)
+- ✅ Temporal analysis across 106 CommonCrawl dumps (2013-2025)
+- ✅ ASCII chart visualizations
+- ✅ Uploads results to HF Hub with auto-generated dataset card
+- ✅ Supports single language or all 70+ languages
+
+**Quick Examples:**
+
+```bash
+# Quick test (10K samples)
+uv run https://huggingface.co/datasets/uv-scripts/dataset-stats/raw/main/finepdfs-stats.py \
+    --limit 10000 --show-plan
+
+# Analyze English PDFs
+uv run https://huggingface.co/datasets/uv-scripts/dataset-stats/raw/main/finepdfs-stats.py \
+    --output-repo username/my-stats
+
+# Analyze ALL 70+ languages
+uv run https://huggingface.co/datasets/uv-scripts/dataset-stats/raw/main/finepdfs-stats.py \
+    --all-languages --output-repo username/my-stats
+```
+
+**Run on HF Jobs (recommended for full dataset):**
+
+```bash
+hf jobs uv run \
+    -s HF_TOKEN \
+    -e HF_XET_HIGH_PERFORMANCE=1 \
+    https://huggingface.co/datasets/uv-scripts/dataset-stats/raw/main/finepdfs-stats.py \
+    -- --all-languages --output-repo username/finepdfs-temporal-stats
+```
+
+**Example output:** [davanstrien/finepdfs-temporal-stats-all](https://huggingface.co/datasets/davanstrien/finepdfs-temporal-stats-all)
+
+**Performance:**
+- 50M docs in ~14 minutes (~60K docs/sec)
+- Single scan using Polars streaming
+- Works on HF Jobs CPU instances
+
+---
+
 ## Related Scripts
 
 Check out other scripts in the `uv-scripts` organization: