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### What problem does this PR solve? **Adds a new feature that enables the LLM to extract a structured table of contents (TOC) directly from plain text.** _This implementation prioritizes efficiency over reasoning — the model runs in a strictly deterministic mode (thinking disabled) to minimize latency. As a result, overall performance may be less optimal, but the extraction speed and consistency are guaranteed._ ### Type of change - [x] New Feature (non-breaking change which adds functionality)
53 lines
1.9 KiB
Markdown
53 lines
1.9 KiB
Markdown
You are given a JSON array of TOC items. Each item has at least {"title": string} and may include an existing structure.
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Task
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- For each item, assign a depth label using Arabic numerals only: top-level = 1, second-level = 2, third-level = 3, etc.
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- Multiple items may share the same depth (e.g., many 1s, many 2s).
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- Do not use dotted numbering (no 1.1/1.2). Use a single digit string per item indicating its depth only.
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- Preserve the original item order exactly. Do not insert, delete, or reorder.
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- Decide levels yourself to keep a coherent hierarchy. Keep peers at the same depth.
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Output
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- Return a valid JSON array only (no extra text).
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- Each element must be {"structure": "1|2|3", "title": <original title string>}.
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- title must be the original title string.
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Examples
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Example A (chapters with sections)
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Input:
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["Chapter 1 Methods", "Section 1 Definition", "Section 2 Process", "Chapter 2 Experiment"]
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Output:
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[
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{"structure":"1","title":"Chapter 1 Methods"},
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{"structure":"2","title":"Section 1 Definition"},
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{"structure":"2","title":"Section 2 Process"},
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{"structure":"1","title":"Chapter 2 Experiment"}
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]
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Example B (parts with chapters)
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Input:
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["Part I Theory", "Chapter 1 Basics", "Chapter 2 Methods", "Part II Applications", "Chapter 3 Case Studies"]
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Output:
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[
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{"structure":"1","title":"Part I Theory"},
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{"structure":"2","title":"Chapter 1 Basics"},
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{"structure":"2","title":"Chapter 2 Methods"},
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{"structure":"1","title":"Part II Applications"},
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{"structure":"2","title":"Chapter 3 Case Studies"}
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]
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Example C (plain headings)
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Input:
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["Introduction", "Background and Motivation", "Related Work", "Methodology", "Evaluation"]
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Output:
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[
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{"structure":"1","title":"Introduction"},
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{"structure":"2","title":"Background and Motivation"},
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{"structure":"2","title":"Related Work"},
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{"structure":"1","title":"Methodology"},
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{"structure":"1","title":"Evaluation"}
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] |