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Palestinian Cultural Knowledge Corpus

v0.2.0 — supersedes the earlier data/wikipedia_ar/ v0.1.0 partial upload (484 Arabic Wikipedia documents only). This release expands to the full 5-source corpus below and moves the data to data/full_corpus/.

A multi-source Arabic/English text corpus about Palestinian history, culture, and heritage, built for the Palestinian Cultural Knowledge Platform — a RAG + knowledge-graph research project. 882 documents, ~890K words, collected and processed as of 2026-08.

Dataset composition

Source Documents Notes
Wikipedia (Arabic) 581 Full article text
WAFA (وكالة وفا, Palestinian news agency) 106 Full article text
Wikipedia (English) 97 Full article text
GDELT-indexed news 73 Full article text, fetched from the outlet GDELT indexed
Semantic Scholar 25 Title + abstract only (see rights note below)

Language split: 712 Arabic (ar-MSA), 131 English, 39 unknown/mixed.

Each record carries a source_id field so the dataset can be filtered to a subset — e.g. source_id in {"wikipedia-ar", "wikipedia-en", "semantic-scholar"} for the subset with the clearest redistribution rights (see below).

Licensing & rights

Per-source assessment (full reasoning in the source project's docs/licensing_checklist.md):

Source Status Basis
Wikipedia (ar/en) Clear CC BY-SA 4.0 — reuse/redistribution with attribution and share-alike
Semantic Scholar (title+abstract) Clear Permitted under the S2AG API's terms of use for research/product use
WAFA Needs review robots.txt permits crawling, but that governs indexing, not redistribution; WAFA's articles are copyrighted news content and no explicit reuse license was found
GDELT Needs review GDELT's own event metadata is freely reusable, but the article text here was fetched from the outlet GDELT pointed to — a separate, per-outlet rights question GDELT's license doesn't resolve

This release includes all five sources, including the two marked "needs review." That's a deliberate choice by this dataset's publisher, made with the rights gap above known and disclosed — not an oversight. If you need a subset with confirmed redistribution rights only, filter to source_id in {"wikipedia-ar", "wikipedia-en", "semantic-scholar"} (703 of the 882 documents).

Collection & processing

  • Wikipedia: official MediaWiki API.
  • WAFA: direct site collection (wafa.ps).
  • GDELT: GDELT Project's event index, article text fetched from each indexed outlet.
  • Semantic Scholar: S2AG public API, metadata fields only (no PDF text).

Documents passed through language detection, deduplication (MinHash), and a rule/LLM-based quality and relevance gate before inclusion — see the source repo's src/ingestion/ for the full pipeline. category, topic_id/topic_label, and entities fields come from later analysis passes (zero-shot LLM classification and BERTopic respectively) and are included as-is, not guaranteed error-free — see the source repo's ROADMAP.md Track F for known accuracy caveats.

Files

  • train.parquet — the full 882-row table (recommended for datasets.load_dataset).
  • train.jsonl — the same data, JSON Lines.
  • dataset_summary.json — column list and per-source/per-language counts.

Intended use

Research and educational use: RAG systems, NLP research on Arabic/Palestinian content, topic/bias analysis. Given the "needs review" status of two sources above, downstream redistribution of this dataset (as opposed to using it directly) should independently confirm rights for the WAFA/GDELT-sourced rows, or filter them out first.

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