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Update README.md

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@@ -157,13 +157,13 @@ The corpus was created with an **open-source pipeline** [[GitHub link]](https://
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  1. Processes files from local project directories (no web crawling required)
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  2. Extracts and processes content through a multi-stage pipeline:
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  * **HTML files**: Compacts HTML structure, extracts titles via *BeautifulSoup*, and converts body content to clean text using *html2text* with enhanced CJK character handling
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- * **PDF files**: Reads pre-converted TXT files from PDF sources
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  * **Text processing**: Removes control characters, normalizes Unicode (NFKC), handles bidirectional text spacing, and collapses excessive whitespace
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  3. Runs language-aware word counting (smart algorithms for Chinese/Japanese/Korean vs. space-separated languages) and assigns domain labels based on file paths
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  4. Generates:
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  * `ai-culture.jsonl.gz` – **DOLMA-compatible** newline-delimited JSON
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  * `ai-culture.json` – one compact record per article
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- 5. Performs integrity checks including JSON validation and optional datasets library loading tests
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  All scripts include a **zero-duplicate** guarantee. We maintain **machine-validated alignment** between languages.
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  1. Processes files from local project directories (no web crawling required)
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  2. Extracts and processes content through a multi-stage pipeline:
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  * **HTML files**: Compacts HTML structure, extracts titles via *BeautifulSoup*, and converts body content to clean text using *html2text* with enhanced CJK character handling
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+ * **PDF files**: Reads pre-converted TXT files from Word document sources that generated the PDFs
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  * **Text processing**: Removes control characters, normalizes Unicode (NFKC), handles bidirectional text spacing, and collapses excessive whitespace
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  3. Runs language-aware word counting (smart algorithms for Chinese/Japanese/Korean vs. space-separated languages) and assigns domain labels based on file paths
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  4. Generates:
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  * `ai-culture.jsonl.gz` – **DOLMA-compatible** newline-delimited JSON
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  * `ai-culture.json` – one compact record per article
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+ 5. Runs multi-layer integrity validation including dataset loading, structure verification, and sample inspection across all formats. Includes supplementary datasets library compatibility tests for Hugging Face Hub integration
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  All scripts include a **zero-duplicate** guarantee. We maintain **machine-validated alignment** between languages.
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