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docs: format Method pipeline as tree

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@@ -86,6 +86,15 @@ The model is a dual-channel linear classifier: TF-IDF `char_wb` (2–5) and word
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  trained with hard negatives from sister Turkic languages, Russian and
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  technical/noisy text. Training texts are not distributed in this repository.
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  ### Evaluation
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  On a weak-label 4,000-sentence benchmark the model reached **93.25% binary
@@ -168,7 +177,7 @@ works without extra arguments.
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  ## License
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  The code and model export are released under the
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- [Apache-2.0 license](https://huggingface.co/failed09/bashkir-lid/blob/main/LICENSE). Training texts
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  are not included in this repository.
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  ## Citation
 
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  trained with hard negatives from sister Turkic languages, Russian and
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  technical/noisy text. Training texts are not distributed in this repository.
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+ ```text
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+ training data (Bashkir + hard negative Turkic/Russian/noise)
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+ β”œβ”€β”€ 1. extract character n-grams: char_wb (2–5)
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+ β”œβ”€β”€ 2. extract word n-grams: words (1–2)
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+ β”œβ”€β”€ 3. feature union & TF-IDF vectorization
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+ β”œβ”€β”€ 4. train SGDClassifier with log-loss
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+ └── 5. export calibrated ONNX graph (fast single-pass classification)
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+ ```
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+
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  ### Evaluation
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  On a weak-label 4,000-sentence benchmark the model reached **93.25% binary
 
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  ## License
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  The code and model export are released under the
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+ [Apache-2.0 license](https://huggingface.co/failed09/bashkir-lid/blob/main/LICENSE). Training texts
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  are not included in this repository.
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  ## Citation