README.md

metadata

tags:
  - statistics
  - polars
  - finepdfs-edu
license: odc-by

Statistics for HuggingFaceFW/finepdfs-edu (English (Latin script))

Aggregate statistics computed using Polars streaming on the HuggingFaceFW/finepdfs-edu dataset.

Performance

Processed 23,023,372 documents in 2608.95 seconds.

Step	Time
Global stats	686.56s
Language stats	634.40s
Extractor stats	648.34s
Dump stats	639.65s
Total	2608.95s

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, scan_parquet with hf:// paths now uses far fewer API calls (139 → 1 for finepdfs-edu).

uv run finepdfs-stats.py --lang eng_Latn --output-repo davanstrien/finepdfs-eng-stats

Global Summary

Metric	Value
Language	English (Latin script) (eng_Latn)
Total Documents	23,023,372
Total Tokens	129,470,001,828
Average Tokens/Doc	5,623
Truncated Documents	5,105,113 (22.2%)
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

from datasets import load_dataset

# Load all configs
global_stats = load_dataset("davanstrien/finepdfs-eng-stats", "global_stats")
lang_stats = load_dataset("davanstrien/finepdfs-eng-stats", "language_stats")
extractor_stats = load_dataset("davanstrien/finepdfs-eng-stats", "extractor_stats")
dump_stats = load_dataset("davanstrien/finepdfs-eng-stats", "dump_stats")

Source

• Dataset: HuggingFaceFW/finepdfs-edu
• Language: eng_Latn
• Script: finepdfs-stats.py