CLARU
Qiuchen-Wangapache-2.0

NavQA Revised

A re-annotated version of the NavQA dataset for navigation-oriented video question answering, containing 210 examples with corrected timestamps and direct query generation from spatial-temporal context.

Downloads19
Episodes210

Why This Matters for Physical AI

NavQA Revised enables evaluation of embodied agents' ability to reason over long-horizon spatial and temporal memory from navigation sequences, supporting development of robots that can answer questions about their past movements and locations.

Technical Profile

Modalities
rgblanguage
Robot Embodiments
mobile_manipulator
Environment
indoor
Task Types
navigationquestion-answering
Episodes
210
Data Format
JSONL
Annotation Types
language_instructionstemporal_annotationsspatial_annotations
License
apache-2.0
Part of the ReMEmbR family

Access

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