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# Munich Urban Graph Network — Chain-of-Thoughts Dataset
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A high-fidelity, explainable dataset for urban graph reasoning and generative urban analytics in Munich.
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Each entry represents a unique *chain-of-thought* (CoT) narrative, blending urban mobility, ecological perspective, zoning/policy context, and graph-theoretic features.
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Embedding: E5 Large
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---
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## 📂 Dataset Overview
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- **Format:** JSONL (`cots_50k.jsonl`)
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- **Total entries:** 50,000+
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- **Each entry contains:**
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- **id**: Unique identifier for the CoT entry
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- **document**: Rich, human-readable narrative describing the path, its segments, the urban/ecological/policy context, and embedded graph statistics
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- **metadata**:
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- `type`: Always `"cot"` (for Chain-of-Thought)
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- `source`: Source node (city feature or network node, as numeric string)
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- `target`: Target node (city feature or network node, as numeric string)
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- `path_length`: Integer, number of graph hops in the described path
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- `tone`: Style of the narrative (e.g., `"metaphorical"`, `"analytical"`)
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- `perspective`: Narrative angle (e.g., `"resident"`, `"policy"`, `"ecology"`)
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- `keyword`: Thematic or analytical tag for the entry (e.g., `"urban heat"`, `"green corridor"`)
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---
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## 🧩 Example Entry
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```json
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{
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"id": "cot_341_analytical_ecology_8a94565d",
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"document": "Between nodes 2272920565 and 392938983, 117 consecutive segments offer an analyzable corridor for urban heat. It covers 18534.6 meters. Segments: ... Habitat fragmentation risk noted at node 2272920565; a loose structure (clustering: 0.00) allowing flexible reconfiguration. Local reachability of 20 hops informs species corridor planning. The target node plays a stronger mediator role in routing dynamics (betweenness 0.00).",
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"metadata": {
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"type": "cot",
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"source": "2272920565",
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"target": "392938983",
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"path_length": 117,
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"tone": "analytical",
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"perspective": "ecology",
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"keyword": "urban heat"
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}
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}
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