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--- |
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viewer: false |
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tags: |
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- uv-script |
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- dataset-statistics |
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- polars |
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- temporal-analysis |
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license: apache-2.0 |
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--- |
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# Dataset Statistics |
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UV scripts for analyzing HuggingFace datasets using streaming mode. |
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## Scripts |
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### `finepdfs-stats.py` - Temporal Educational Quality Analysis |
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Analyze educational quality trends across CommonCrawl dumps using Polars streaming. Answers: **"Is the web getting more educational over time?"** |
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**Features:** |
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- Polars streaming (no download of 300GB+ dataset) |
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- Temporal analysis across 106 CommonCrawl dumps (2013-2025) |
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- ASCII chart visualizations |
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- Uploads results to HF Hub with auto-generated dataset card |
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- Supports single language or all 70+ languages |
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**Quick Examples:** |
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```bash |
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# Quick test (10K samples) |
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uv run https://huggingface.co/datasets/uv-scripts/dataset-stats/raw/main/finepdfs-stats.py \ |
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--limit 10000 --show-plan |
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# Analyze English PDFs |
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uv run https://huggingface.co/datasets/uv-scripts/dataset-stats/raw/main/finepdfs-stats.py \ |
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--output-repo username/my-stats |
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# Analyze ALL 70+ languages |
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uv run https://huggingface.co/datasets/uv-scripts/dataset-stats/raw/main/finepdfs-stats.py \ |
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--all-languages --output-repo username/my-stats |
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``` |
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**Run on HF Jobs (recommended for full dataset):** |
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```bash |
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hf jobs uv run \ |
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-s HF_TOKEN \ |
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-e HF_XET_HIGH_PERFORMANCE=1 \ |
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https://huggingface.co/datasets/uv-scripts/dataset-stats/raw/main/finepdfs-stats.py \ |
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-- --all-languages --output-repo username/finepdfs-temporal-stats |
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``` |
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**Example output:** [davanstrien/finepdfs-temporal-stats-all](https://huggingface.co/datasets/davanstrien/finepdfs-temporal-stats-all) |
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**Performance:** |
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- 50M docs in ~14 minutes (~60K docs/sec) |
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- Single scan using [Polars HF Hub integration](https://huggingface.co/docs/hub/datasets-polars) |
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- Works on HF Jobs CPU instances |
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## Related Scripts |
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Check out other scripts in the [uv-scripts organization](https://huggingface.co/uv-scripts): |
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- **dataset-creation**: Create datasets from PDFs and other formats |
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- **vllm**: GPU-accelerated classification and inference |
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- **ocr**: Document OCR using vision-language models |
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## Why UV Scripts? |
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UV scripts are self-contained Python scripts that: |
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- Run with a single `uv run` command (no setup required) |
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- Include all dependencies in PEP 723 inline metadata |
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- Work seamlessly on both local machines and HF Jobs |
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Learn more about UV: https://docs.astral.sh/uv/ |
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