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README.md

@@ -33,7 +33,7 @@ pretty_name: 'Machine Hearing Benchmark (MHB)'
 # Machine Hearing Benchmark (MHB)
 
 <p align="center">
-  <img src="process/MHB.png" alt="Overview of MHB across seven domains and 13 tasks" width="800">
+  <img src="process/MHB.png" alt="Overview of MHB across seven domains and 13 tasks" width="700">
 </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)
@@ -166,11 +166,15 @@ Each line is a JSON object representing one instance. The following is a shorten
 
 Paths in `meta_data.jsonl` are not absolute paths. For example, load a signal by joining the repository root with `record["input_ts"]["path"]`.
 
-For models that generate additional explanations or text, users may append an output-format constraint to the end of `input_text` during inference, such as: "Output ONLY the classification result. Do not output any other text, explanation, or punctuation."
+For models that generate additional explanations or text, users may append an output-format constraint to the end of `input_text` during inference, such as:
+
+```text
+"Output ONLY the classification result. Do not output any other text, explanation, or punctuation."
+```
 
 ## Reconstructing Externally Hosted Datasets
 
-The waveforms of **Iquique, Yaseen, ShipsEar, and DeepShip** are not bundled in this release. Download the source data from the linked official providers, then run the relevant script from the **MHB repository root**. Each script uses `meta_data.jsonl` to select the exact MHB test subset, creates the required task folder and `raw_input/` directory, and preserves the relative paths already defined in the metadata. No changes to `meta_data.jsonl` are needed.
+The waveforms of **Iquique, Yaseen, ShipsEar, and DeepShip** are not bundled in this release. Download the source data from the linked official providers, then run the relevant script from the **MHB repository root**. Each script uses `meta_data.jsonl` to select the exact MHB subset, creates the required task folder and `raw_input/` directory, and preserves the relative paths already defined in the metadata. No changes to `meta_data.jsonl` are needed.
 
 For the MHB mapping scripts, install the necessary Python packages: