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README.md

@@ -1,118 +1,74 @@
 ---
-dataset_info:
-- config_name: dump_stats
-  features:
-  - name: dump
-    dtype: large_string
-  - name: doc_count
-    dtype: uint32
-  - name: total_tokens
-    dtype: int64
-  - name: avg_tokens
-    dtype: float64
-  splits:
-  - name: train
-    num_bytes: 4558
-    num_examples: 106
-  download_size: 5114
-  dataset_size: 4558
-- config_name: extractor_stats
-  features:
-  - name: extractor
-    dtype: large_string
-  - name: doc_count
-    dtype: uint32
-  - name: total_tokens
-    dtype: int64
-  - name: avg_tokens
-    dtype: float64
-  - name: truncated_count
-    dtype: uint32
-  - name: avg_lid_score
-    dtype: float64
-  splits:
-  - name: train
-    num_bytes: 96
-    num_examples: 2
-  download_size: 3103
-  dataset_size: 96
-- config_name: global_stats
-  features:
-  - name: total_docs
-    dtype: uint32
-  - name: total_tokens
-    dtype: int64
-  - name: avg_tokens
-    dtype: float64
-  - name: median_tokens
-    dtype: float64
-  - name: std_tokens
-    dtype: float64
-  - name: truncated_docs
-    dtype: uint32
-  - name: truncation_rate
-    dtype: float64
-  - name: avg_cluster_size
-    dtype: float64
-  - name: total_duplicates
-    dtype: int64
-  - name: unique_languages
-    dtype: uint32
-  - name: unique_extractors
-    dtype: uint32
-  - name: unique_dumps
-    dtype: uint32
-  splits:
-  - name: train
-    num_bytes: 76
-    num_examples: 1
-  download_size: 5750
-  dataset_size: 76
-- config_name: language_stats
-  features:
-  - name: language
-    dtype: large_string
-  - name: doc_count
-    dtype: uint32
-  - name: total_tokens
-    dtype: int64
-  - name: avg_tokens
-    dtype: float64
-  - name: median_tokens
-    dtype: float64
-  - name: min_tokens
-    dtype: int64
-  - name: max_tokens
-    dtype: int64
-  - name: avg_lid_score
-    dtype: float64
-  - name: truncated_count
-    dtype: uint32
-  - name: avg_cluster_size
-    dtype: float64
-  - name: total_duplicates
-    dtype: int64
-  splits:
-  - name: train
-    num_bytes: 88
-    num_examples: 1
-  download_size: 5314
-  dataset_size: 88
-configs:
-- config_name: dump_stats
-  data_files:
-  - split: train
-    path: dump_stats/train-*
-- config_name: extractor_stats
-  data_files:
-  - split: train
-    path: extractor_stats/train-*
-- config_name: global_stats
-  data_files:
-  - split: train
-    path: global_stats/train-*
-- config_name: language_stats
-  data_files:
-  - split: train
-    path: language_stats/train-*
+tags:
+  - statistics
+  - polars
+  - finepdfs-edu
+license: odc-by
 ---
+
+# Statistics for HuggingFaceFW/finepdfs-edu (Dutch (Latin script))
+
+Aggregate statistics computed using Polars streaming on the [HuggingFaceFW/finepdfs-edu](https://huggingface.co/datasets/HuggingFaceFW/finepdfs-edu) dataset.
+
+## Performance
+
+Processed **847,361 documents** in **125.88 seconds**.
+
+| Step | Time |
+|------|------|
+| Global stats | 34.19s |
+| Language stats | 31.81s |
+| Extractor stats | 29.46s |
+| Dump stats | 30.42s |
+| **Total** | **125.88s** |
+
+> Speed comes from Polars only reading metadata columns (not the `text` column),
+> thanks to Parquet's columnar format and lazy evaluation.
+
+## How This Was Generated
+
+This dataset demonstrates **Polars streaming aggregation** with HuggingFace Hub integration.
+Thanks to [polars#25521](https://github.com/pola-rs/polars/pull/25521), `scan_parquet`
+with `hf://` paths now uses far fewer API calls (139 → 1 for finepdfs-edu).
+
+```bash
+uv run polars-hf-stats.py --lang nld_Latn --output-repo davanstrien/finepdfs-nld-stats
+```
+
+## Global Summary
+
+| Metric | Value |
+|--------|-------|
+| Language | Dutch (Latin script) (`nld_Latn`) |
+| Total Documents | 847,361 |
+| Total Tokens | 5,424,871,452 |
+| Average Tokens/Doc | 6,402 |
+| Truncated Documents | 207,376 (24.5%) |
+| Unique Languages | 1 |
+| Unique Extractors | 2 |
+| Unique Dumps | 106 |
+
+## Configs
+
+- `global_stats` - Overall summary (1 row)
+- `language_stats` - Per-language aggregations
+- `extractor_stats` - Per-extractor aggregations
+- `dump_stats` - Per-dump aggregations
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Load all configs
+global_stats = load_dataset("davanstrien/finepdfs-nld-stats", "global_stats")
+lang_stats = load_dataset("davanstrien/finepdfs-nld-stats", "language_stats")
+extractor_stats = load_dataset("davanstrien/finepdfs-nld-stats", "extractor_stats")
+dump_stats = load_dataset("davanstrien/finepdfs-nld-stats", "dump_stats")
+```
+
+## Source
+
+- **Dataset**: [HuggingFaceFW/finepdfs-edu](https://huggingface.co/datasets/HuggingFaceFW/finepdfs-edu)
+- **Language**: nld_Latn
+- **Script**: [polars-hf-stats.py](https://huggingface.co/datasets/uv-scripts/polars)