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| license: mit |
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| # Dataset Card for Cleaned & Chunked WikiText Corpus |
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| ## 📌 Dataset Description |
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| This dataset is a cleaned and chunked version of WikiText-style corpus, designed for language model pretraining and evaluation. |
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| The preprocessing pipeline follows a lightweight data curation paradigm: |
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| > **cleaning → deduplication → normalization → token-aware chunking** |
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| Specifically, the dataset includes: |
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| - Removal of special and noisy characters |
| - Cleaning of formatting artifacts (e.g., HTML tags, irregular symbols) |
| - Deduplication to reduce redundant or highly similar text samples |
| - Text normalization (whitespace, encoding, etc.) |
| - Chunking of long documents into smaller segments suitable for model training |
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| Each sample corresponds to a **cleaned text chunk**, rather than a full original document. |
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| ## 📊 Data Structure |
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| Each sample in the dataset follows this structure: |
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| ```json |
| { |
| "uid": "string", |
| "content": "string", |
| "meta_data": { |
| "index": "int", |
| "total": "int", |
| "length": "int" |
| } |
| } |
