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Update BrainBench card with overview image and citation

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  1. README.md +25 -11
README.md CHANGED
@@ -23,11 +23,13 @@ BrainBench is a benchmark for evaluating AI agents on practical EEG and polysomn
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  No original EEG or PSG recordings are distributed in this repository. Users must obtain the required source datasets from their official providers and prepare them locally with the BrainBench framework.
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  ## Quick links
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  - Dataset: <https://huggingface.co/datasets/xbb083/BrainBench>
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- - Code: <https://github.com/xiaobaben/BrainBench>
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- - Paper: <https://arxiv.org/abs/2608.04156>
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  ## Contents
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@@ -46,14 +48,14 @@ The current release contains 1,975 fixed evaluation instances across the first t
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  <root>/
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  ├── foundational_analysis/
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  │ └── cases/
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- │ ├── case1/
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- │ │ ├── case1_01.json
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  │ │ └── ...
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  │ └── ...
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  └── sleep_assessment/
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  └── cases/
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- ├── case1/
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- │ ├── case1_01.json
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  │ └── ...
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  └── ...
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  ```
@@ -61,8 +63,8 @@ The current release contains 1,975 fixed evaluation instances across the first t
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  Conventions:
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  - `<subset>/cases/` contains all fixed instances for one BrainBench subset.
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- - `caseN/` identifies one benchmark task.
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- - `caseN_XX.json` identifies one fixed instance of that task.
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  - Case JSON files are intended to remain unchanged during evaluation.
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  ## Case JSON format
@@ -172,7 +174,7 @@ import json
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  from pathlib import Path
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  case_path = Path(
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- "benchmarks/foundational_analysis/cases/case1/case1_01.json"
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  )
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  case = json.loads(case_path.read_text(encoding="utf-8"))
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@@ -209,9 +211,21 @@ The BrainBench code release will document the official access routes and require
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  ## License and citation
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- The formal license and paper citation will be synchronized with the public BrainBench GitHub and paper releases. The current Hugging Face metadata uses `license: other` to avoid assigning an unapproved license.
 
 
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- If you use BrainBench, please cite the BrainBench paper once the public citation is available.
 
 
 
 
 
 
 
 
 
 
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  ## Acknowledgements
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  No original EEG or PSG recordings are distributed in this repository. Users must obtain the required source datasets from their official providers and prepare them locally with the BrainBench framework.
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+ ![BrainBench overview](assets/intro.png)
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+
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  ## Quick links
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  - Dataset: <https://huggingface.co/datasets/xbb083/BrainBench>
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+ - Code: to be released on GitHub
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+ - Paper: BrainBench (link to be added after public release)
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  ## Contents
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  <root>/
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  ├── foundational_analysis/
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  │ └── cases/
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+ │ ├── case01/
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+ │ │ ├── case01_01.json
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  │ │ └── ...
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  │ └── ...
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  └── sleep_assessment/
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  └── cases/
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+ ├── case01/
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+ │ ├── case01_01.json
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  │ └── ...
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  └── ...
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  ```
 
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  Conventions:
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  - `<subset>/cases/` contains all fixed instances for one BrainBench subset.
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+ - `caseNN/` identifies one benchmark task; the numeric suffix is zero-padded for natural file-browser ordering.
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+ - `caseNN_XX.json` identifies one fixed instance of that task.
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  - Case JSON files are intended to remain unchanged during evaluation.
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  ## Case JSON format
 
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  from pathlib import Path
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  case_path = Path(
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+ "benchmarks/foundational_analysis/cases/case01/case01_01.json"
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  )
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  case = json.loads(case_path.read_text(encoding="utf-8"))
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  ## License and citation
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+ The current Hugging Face metadata uses `license: other` because the formal dataset license is maintained with the BrainBench code and paper releases.
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+
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+ If you use BrainBench, please cite:
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+ ```bibtex
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+ @misc{zhou2026brainbenchbenchmarkinglargelanguage,
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+ title={BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding},
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+ author={Yangxuan Zhou and Sha Zhao and Yuning Chen and Chen Wu and Jiquan Wang and Shijian Li and Gang Pan},
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+ year={2026},
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+ eprint={2608.04156},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.AI},
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+ url={https://arxiv.org/abs/2608.04156},
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+ }
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+ ```
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  ## Acknowledgements
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