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# Ground Truth Annotations
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This directory contains the **full ground-truth annotations** used to construct the
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binary navigability labels (`answer`) in the main CapNav benchmark.
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While the primary benchmark file
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`capnav_v0_with_answer.parquet`
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provides **binary (True/False) navigability answers** for each
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(question, scene, agent) triple, the files in this directory expose the
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**underlying structural and traversability annotations** from which those
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binary labels are derived.
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These annotations offer **richer, fine-grained information** about scene
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structure, feasible routes, and failure cases, and are intended for
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researchers who wish to inspect, verify, or extend the benchmark.
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---
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## Directory Structure
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```
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ground_truth/
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├── graphs/
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│ └── <scene_id>-graph.json
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├── traverse/
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│ └── <scene_id>-traverse.json
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└── README.md
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```
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### `graphs/`
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This folder contains **scene-level spatial graph annotations** for each 3D environment.
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Each file corresponds to a single scene and encodes:
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- A graph representation of the indoor environment
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- Nodes representing semantically meaningful locations or regions
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- Edges representing potential transitions between nodes
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- Human-annotated connectivity reflecting the true physical layout of the scene
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These graphs serve as the **structural backbone** for all navigability and
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traversability reasoning in CapNav.
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---
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### `traverse/`
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This folder contains **route-level traversability annotations** built on top of the scene graphs.
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For each scene, the traverse annotations specify:
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- Whether a route between two nodes is traversable for a given agent
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- Agent-specific constraints (e.g., body size, ability to climb stairs)
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- Valid and invalid edges along candidate paths
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- Detailed reasons explaining *why* traversal is not possible when a route fails
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These files provide **richer supervision** than the binary labels alone,
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including intermediate decisions and failure rationales.
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---
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## Relationship to the Main Benchmark
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The main benchmark file:
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```
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capnav_v0_with_answer.parquet
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```
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contains a simplified representation of the ground truth:
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- Each row corresponds to a `(question, scene, agent)` triple
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- The `answer` column stores a **binary navigability label**
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- This binary label is **derived from the graph and traverse annotations**
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in this directory
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In other words:
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> **The binary answers in the benchmark are a distilled view of the more
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> comprehensive ground-truth annotations provided here.**
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Researchers interested only in benchmarking model accuracy can rely on
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the parquet file directly, while those seeking deeper insight into
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navigation feasibility, path validity, or agent-specific constraints
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should consult the annotations in `ground_truth/`.
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---
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## Annotation Process
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All graph and traversability annotations in this directory are:
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- **Manually constructed** based on the true geometry and semantics of each scene
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- Verified to reflect realistic physical constraints and navigational affordances
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- Used as the authoritative source of ground truth in CapNav
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Details of the annotation pipeline, including tooling, validation logic,
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and quality control procedures, are documented in the CapNav repository:
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```
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https://github.com/Ruiqi-Chen-0216/CapNav
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```
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Please refer specifically to the **annotation code and documentation**
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in the repository for implementation details.
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---
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## Intended Use
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This directory is provided to support:
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- Transparency and reproducibility of the benchmark
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- Analysis of failure cases beyond binary correctness
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- Future extensions of CapNav (e.g., multi-step supervision, path prediction)
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- Research on agent-specific navigation constraints and embodied reasoning
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For most benchmarking use cases, users only need the main parquet file.
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The contents of `ground_truth/` are optional but recommended for advanced analysis.
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