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README.md

@@ -32,23 +32,25 @@ pretty_name: 'Machine Hearing Benchmark (MHB)'
 
 # Machine Hearing Benchmark (MHB)
 
-![Overview of MHB across seven domains and 13 tasks](process/MHB.png)
+<p align="center">
+  <img src="process/MHB.png" alt="Overview of MHB across seven domains and 13 tasks" width="600">
+</p>
 
 This repository provides the **Machine Hearing Benchmark (MHB)** introduced in [**Machine Hearing: Can Audio LLMs Generalize Beyond Human Auditory Perception?**](https://arxiv.org/abs/2611.10693)
 
-Multimodal LLMs have made substantial progress in perceiving the physical world, but their capabilities remain largely centered on signals that humans can directly see or hear. The physical world contains waves, vibrations, and oscillations far beyond human auditory perception. MHB investigates whether **Audio Large Language Models (ALLMs)** can generalize to this broader form of *machine hearing*.
+Multimodal LLMs have made substantial progress in perceiving the physical world, but their capabilities remain largely centered on signals that humans can directly see or hear. The physical world contains waves, vibrations, and oscillations far beyond human auditory perception. MHB investigates whether Audio Large Language Models (ALLMs) can generalize to this broader form of *machine hearing*.
 
-MHB comprises **6,128 test instances across 13 classification tasks and seven domains**: Astronomy, Earth Science, Healthcare, Electromagnetic, Underwater Acoustics, Bioacoustics, and Manufacturing. It spans highly heterogeneous input regimes, with sampling rates from approximately $10^{-5}$ to $10^6$ Hz, sequence lengths from $10^1$ to $10^6$ samples, and both single- and multi-channel inputs. Each instance consists of a signal, a task-specific textual instruction, and a predefined label set.
+MHB comprises **6,128 instances across 13 classification tasks and seven domains**: Astronomy, Earth Science, Healthcare, Electromagnetic, Underwater Acoustics, Bioacoustics, and Manufacturing. It spans highly heterogeneous input regimes, with sampling rates from approximately 10⁻⁵ to 10⁶ Hz, sequence lengths from 10¹ to 10⁶ samples, and both single- and multi-channel inputs. Each instance consists of a signal, a task-specific textual instruction, and a predefined label set.
 
 ## Dataset Licenses and Distribution
 
-MHB integrates data from multiple sources. The following table lists the source or processed-release licenses and whether the MHB input signals are included in this repository. **These licenses apply to their respective materials; the list of licenses in the Dataset Card metadata does not mean that each file is offered under every listed license.**
+MHB integrates data from multiple sources. The following table lists the source or processed-release licenses and whether the MHB input signals are included in this repository.
 
 | MHB Task | Data Source | Source / Release License | Input Files | Reference |
-| --- | --- | --- | --- | --- |
-| GWOSC | GWOSC_GW_Event via SciTS | CC BY-NC-SA 4.0 (SciTS) | Included | [SciTS](https://huggingface.co/datasets/OpenTSLab/SciTS) |
-| LEAVES | LEAVES | CC BY 4.0 (original data; note SciTS release terms) | Included | [NADC](https://nadc.china-vo.org/res/r100962/?lang=en) |
-| Iquique | Iquique via SeisBench | Not specified | **Reconstruction required** | [SeisBench](https://seisbench.readthedocs.io/en/main/pages/data/benchmark_datasets.html#iquique) |
+| --- | --- | :---: | :---: | :---: |
+| GWOSC | GWOSC_GW_Event | CC BY-NC-SA 4.0 (SciTS) | Included | [SciTS](https://huggingface.co/datasets/OpenTSLab/SciTS) |
+| LEAVES | LEAVES | CC BY 4.0 | Included | [NADC](https://nadc.china-vo.org/res/r100962/?lang=en) |
+| Iquique | Iquique | Not specified | **Reconstruction required** | [SeisBench](https://seisbench.readthedocs.io/en/main/pages/data/benchmark_datasets.html#iquique) |
 | Llaima | Llaima | CC BY-NC 3.0 | Included | [Mendeley Data](https://data.mendeley.com/datasets/dv8nwdd36k/1) |
 | Yaseen | Yaseen | Not specified | **Reconstruction required** | [Official GitHub](https://github.com/yaseen21khan/Classification-of-Heart-Sound-Signal-Using-Multiple-Features-) |
 | CirCor_loc | CirCor | ODC-BY 1.0 | Included | [PhysioNet](https://physionet.org/content/circor-heart-sound/1.0.3/) |
@@ -57,8 +59,8 @@ MHB integrates data from multiple sources. The following table lists the source
 | ShipsEar | ShipsEar | Not specified | **Reconstruction required** | [Official database](https://underwaternoise.atlanttic.uvigo.es/) |
 | DeepShip | DeepShip | Not specified | **Reconstruction required** | [Official GitHub](https://github.com/irfankamboh/DeepShip) |
 | MarmAudio | MarmAudio | CC BY 4.0 | Included | [Zenodo](https://zenodo.org/records/15017207) |
-| SDUST_bear | `sdust_bearing` via RMIS | MIT (RMIS processed release) | Included | [RMIS](https://huggingface.co/datasets/jiangab/RMIS) |
-| PU_cur | `pu_cur` via RMIS | MIT (RMIS processed release) | Included | [RMIS](https://huggingface.co/datasets/jiangab/RMIS) |
+| SDUST_bear | `sdust_bearing` via RMIS | MIT<br>(RMIS processed release) | Included | [RMIS](https://huggingface.co/datasets/jiangab/RMIS) |
+| PU_cur | `pu_cur` via RMIS | MIT<br>(RMIS processed release) | Included | [RMIS](https://huggingface.co/datasets/jiangab/RMIS) |
 
 **License notes.** MHB's original benchmark contributions, to the extent the maintainers hold the relevant rights, are released under **CC BY-NC-SA 4.0**. Original data sources and processed releases retain their own applicable conditions and attribution requirements. No waveform files from Iquique, Yaseen, ShipsEar, or DeepShip are redistributed here; their metadata and reconstruction scripts are provided instead.