Update README.md

README.md

@@ -244,8 +244,8 @@ configs:
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@@ -253,8 +253,6 @@ configs:
 
 ## SibmaBench Data Release & Benchmarking
 
-## Evaluating Your Model on SimbaBench
-
 To evaluate your model on **SimbaBench** across all supported tasks (ASR, TTS, and SLID), simply load the corresponding configuration for the task and language you wish to benchmark.
 
 Each task is organized by configuration name (e.g., `asr_test_afr`, `tts_test_wol`, `slid_61_test`). Loading a configuration provides the standardized evaluation split for that specific benchmark.
@@ -368,53 +366,6 @@ data['test'][0]
 ---
 
 
-
-## 🔎 Example: Loading a Benchmark Configuration
-
-Below is an example of loading a specific ASR evaluation configuration using the Hugging Face `datasets` library:
-
-```python
-from datasets import load_dataset
-
-data = load_dataset(dataset_id, "asr_test_afr")
-data["test"][0]
-
-``` python
-configs = get_dataset_config_names(dataset_id)
-print(f"{'Config Name':<35} | {'Language':<25} | {'ISO':<5} | {'# Samples':<12} | {'# Hours':<10}")
-print("-" * 100)
-
-total_all_samples = 0
-total_all_hours = 0
-
-for config in configs:
-    try:
-        # Load the dataset for the specific config
-        ds = load_dataset(dataset_id, config, split='test')
-        
-        # Calculate samples and hours
-        num_samples = len(ds)
-        total_seconds = sum(ds['duration_s'])
-        num_hours = total_seconds / 3600
-        
-        # Get language name and ISO code from the first sample
-        lang_name = ds[0]['lang_name'] if num_samples > 0 else 'N/A'
-        lang_iso = ds[0]['lang_iso3'] if num_samples > 0 else 'N/A'
-        
-        # Accumulate totals for a grand total at the end
-        total_all_samples += num_samples
-        total_all_hours += num_hours
-        
-        print(f"{config:<35} | {lang_name:<25} | {lang_iso:<5} | {num_samples:<12,} | {num_hours:<10.2f}")
-        
-    except Exception as e:
-        print(f"{config:<35} | Error loading config: {e}")
-
-print("-" * 100)
-print(f"{'TOTAL':<35} | {'':<25} | {'':<5} | {total_all_samples:<12,} | {total_all_hours:<10.2f}")
-
-```
-
 ## Citation
 
 If you use the Simba models or SimbaBench  benchmark for your scientific publication, or if you find the resources in this website useful, please cite our paper.