| | --- |
| | viewer: false |
| | tags: |
| | - uv-script |
| | - dataset-statistics |
| | - polars |
| | - temporal-analysis |
| | - hf-jobs |
| | license: apache-2.0 |
| | --- |
| | |
| | # Dataset Statistics |
| |
|
| | UV scripts for analyzing HuggingFace datasets using streaming mode. |
| |
|
| | ## Scripts |
| |
|
| | ### `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 HF Hub integration](https://huggingface.co/docs/hub/datasets-polars) |
| | - Works on HF Jobs CPU instances |
| |
|
| | ## Related Scripts |
| |
|
| | Check out other scripts in the [uv-scripts organization](https://huggingface.co/uv-scripts): |
| | - **dataset-creation**: Create datasets from PDFs and other formats |
| | - **vllm**: GPU-accelerated classification and inference |
| | - **ocr**: Document OCR using vision-language models |
| |
|
| | ## Why UV Scripts? |
| |
|
| | UV scripts are self-contained Python scripts that: |
| | - Run with a single `uv run` command (no setup required) |
| | - Include all dependencies in PEP 723 inline metadata |
| | - Work seamlessly on both local machines and HF Jobs |
| |
|
| | Learn more about UV: https://docs.astral.sh/uv/ |
| |
|
| |
|
