---
language:
- en
license: other
license_name: memact-component-licenses
license_link: LICENSE.md
task_categories:
- visual-question-answering
tags:
- spatial-reasoning
- streaming
- memory
- active-exploration
pretty_name: MemAct / StreaMemAct
---

# MemAct / StreaMemAct

[Paper](https://vfishc.github.io/memact/assets/memact-paper.pdf) · [Project](https://vfishc.github.io/memact/) · [Code](https://github.com/vfishc/memact)

Yuxi Wei, Wei Huang, Qirui Chen, Lu Hou, Xiaojuan Qi.

This repository hosts the prepared StreaMemAct data suite accompanying **MemAct: Streaming Spatial Understanding with Memory and Active Exploration**. The repository identifier is `vfishc/memact`. The repository is public; data upload is in progress.

## Contents

| Component | Count / scope | Directory |
| --- | --- | --- |
| Current QA | 302,661 answer turns | data/train/current_memory |
| Memory QA | 402,662 answer turns | data/train/current_memory |
| Memory supervision | 519,948 writes; 556,635 retrieval calls, additional to QA counts | Within Current/Memory streams |
| Action SFT | 294,677 items; 534,752 camera transitions | data/train/action |
| RL | 14,001 tasks and branch observations | data/rl |
| Main evaluation | 20,000 turns, including graphs for 1,245 Action questions | data/evaluation |
| Timing | 2,000 separate questions | data/evaluation |
| Simulation media and GLBs | Rendered videos and associated scene assets | media/simulation |
| Rendering dependencies | Scene inputs, textures/HDRIs and configurations | assets/rl |
| Frozen Action render inputs | 1,245 question configurations | generation/frozen_action |
| Metadata | Frames, timestamps, camera/object records and evidence references | metadata/episodes |
| Reconstruction | Upstream download/reconstruction mappings | reconstruction |

The prepared manifest records 206 archives totaling 589,652,365,064 bytes, plus supporting metadata. Archives retain relative media references and checksums. See release_manifest.json, release_statistics.json and RELEASE_GUIDE.txt after upload for extraction and verification.

## Usage and provenance

Use the code repository's generation, reconstruction, training and evaluation entry points. Retrieve original ScanNet, ScanNet++ and ARKitScenes recordings from their providers; this release supplies reconstruction mappings rather than redistributing original recordings. A video does not replace its frame/time mapping. Evaluator-only answers and geometry must not be included in model inputs. Weights are not included.

The prepared training selection contains 1M QA turns; memory writes and retrieval calls are counted separately. It replaces selected recording-ID overlap with the frozen evaluation bank. Strict physical-space disjointness is not claimed because distinct real recordings can share a physical space. Release counts are separate from paper-era intermediate composition.

Technical validation covers annotation/media references, branch coverage, reconstruction samples and runtime tests. It is not a rerun of the paper's benchmark scores. The supplied native inference backend does not reproduce the persistent cross-call compact KV cache or paper latency.

## Licenses

See [LICENSE.md](LICENSE.md). Original MemAct annotation contributions use CC BY 4.0, and original code uses Apache-2.0. Upstream assets and derived content retain their source terms. The mixed repository is not licensed wholesale under CC BY 4.0; applicable asset-specific source terms remain controlling.