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Download data/eltec_pol/eltec_pol.md from SlayerLab/polish-dynaword: direct link, hf CLI and curl.
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https://huggingface.co/datasets/SlayerLab/polish-dynaword/resolve/fbe18099789a6913aa0e7b91f0a04a425900db25/data/eltec_pol/eltec_pol.md
- Command line
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hf download hf://datasets/SlayerLab/polish-dynaword@fbe18099789a6913aa0e7b91f0a04a425900db25/data/eltec_pol/eltec_pol.md
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curl -L -o eltec_pol.md https://huggingface.co/datasets/SlayerLab/polish-dynaword/resolve/fbe18099789a6913aa0e7b91f0a04a425900db25/data/eltec_pol/eltec_pol.md
1.47 kB
| # eltec_pol | |
| ELTeC-pol (European Literary Text Collection, Polish) | |
| ## Dataset description | |
| - **Source (upstream):** https://github.com/COST-ELTeC/ELTeC-pol | |
| - **Domain:** literature | |
| - **Language:** Polish (pl) | |
| - **License:** `CC-BY-4.0` | |
| - **Created (range):** 1840-01-01, 1920-12-31 | |
| - **Added:** 2026-07-02 | |
| ## Licensing — traceable basis | |
| ELTeC corpora are released under CC-BY 4.0 by the COST Action 'Distant Reading for European Literary History' (CA16204). | |
| ## Provenance | |
| Fetched directly from the COST-ELTeC/ELTeC-pol GitHub repository (level1 TEI) by src/fetch_eltec.py; reading text extracted from TEI <body> paragraphs. | |
| ## Statistics | |
| | documents | characters | tokens (tiktoken proxy) | | |
| |---:|---:|---:| | |
| | 100 | 54,369,249 | 21,486,720 | | |
| ## Per-document license metadata | |
| | license | documents | | |
| |---|---:| | |
| | `CC-BY-4.0` | 100 | | |
| Author metadata present for **0** documents. Empty values mean the upstream record did not expose a machine-readable author field. | |
| Statistics were recomputed directly from the released parquet file. | |
| ## Filters applied (build_dynaword.py) | |
| Minimal, per Dynaword guidelines (heavy filtering left to downstream use): | |
| - drop documents < 200 chars: **0** | |
| - drop non-Polish (diacritic ratio): **0** | |
| - exact cross-source dedup (sha1): **0** | |
| - OCR alpha-ratio < 0.70 (OCR sources only): **0** | |
| - read 100 → kept 100 | |
| Token counts are a fast tiktoken (cl100k) proxy (~1% off Llama-3); the canonical | |
| Llama-3 count is computed at release. | |