Download README.md from lzLiang/EmbodiedMemoryBench: direct link, hf CLI and curl.
- Browser
- Download file 1.72 kB
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https://huggingface.co/datasets/lzLiang/EmbodiedMemoryBench/resolve/3b7f498c50cee588d07ec1e1d3ee5b391db1fc60/README.md
- Command line
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hf download hf://datasets/lzLiang/EmbodiedMemoryBench@3b7f498c50cee588d07ec1e1d3ee5b391db1fc60/README.md
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curl -L -o README.md https://huggingface.co/datasets/lzLiang/EmbodiedMemoryBench/resolve/3b7f498c50cee588d07ec1e1d3ee5b391db1fc60/README.md
license: cc-by-nc-4.0
task_categories:
- robotics
- question-answering
- visual-question-answering
- text-generation
language:
- en
pretty_name: EmbodiedMemoryBench Full 2554
size_categories:
- 10K<n<100K
tags:
- embodied-ai
- embodied-memory
- robotics
- ai2-thor
- procthor
EmbodiedMemoryBench
EmbodiedMemoryBench is a benchmark for evaluating memory in long-horizon embodied tasks. This private dataset package contains the complete 2,554-episode benchmark used by the project.
Contents
| Task family | Episodes |
|---|---|
| Passive Observation | 1,036 |
| Dynamic Tracking | 1,052 |
| Interaction Experience | 263 |
| Experience Generalization | 203 |
| Total | 2,554 |
The episodes/ directory contains the materialized episode files and associated context images. The manifests/ directory contains the frozen membership manifests and audit report. browse.tsv provides a searchable episode index, while metadata.json and verification_report.json record the dataset counts and integrity checks.
Integrity
The canonical membership file is manifests/full2554.jsonl. Episode counts and family totals are recorded in metadata.json; file and episode verification results are recorded in verification_report.json.
License
This dataset is released for non-commercial research use under the Creative Commons Attribution-NonCommercial 4.0 International license (CC BY-NC 4.0). Third-party environments, assets, and dependencies remain subject to their respective upstream terms.
Project
- Project page: https://zju-omniai.github.io/EmbodiedMemoryBench/
- Code and evaluation interfaces: https://github.com/ZJU-OmniAI/EmbodiedMemoryBench