Update README.md

README.md

@@ -59,7 +59,7 @@ Nyana-Eval is ideal for:
 **Key Statistics**:
 - **Total Samples**: 45 (balanced: 15 per source subset).
 - **Total Duration**: ~3.03 minutes (average ~4.0 seconds per sample).
-- **Audio Format**: Mono-channel WAV files at 16 | 44.1k kHz sampling rate.
+- **Audio Format**: Mono-channel WAV files at 16 or 44.1k kHz sampling rate.
 - **Languages**: Primary: Bambara (Bamana); Secondary: French code-switching (~15% of samples).
 - **License**: CC-BY-4.0 License (open for research, commercial use with attribution).
 
@@ -73,7 +73,7 @@ Nyana-Eval is a single-split dataset (default: `test`), with each entry includin
 
 | Column          | Type     | Description                                                                 | Example Value |
 |-----------------|----------|-----------------------------------------------------------------------------|---------------|
-| `audio`        | Audio   | Raw audio waveform (array + sampling rate: 16 | 44.1k kHz) or file path.      | `{"path": "1.1.wav", "array": [...], "sampling_rate": 16000}` |
+| `audio`        | Audio   | Raw audio waveform (array + sampling rate: 16 or 44.1k kHz) or file path.      | `{"path": "1.1.wav", "array": [...], "sampling_rate": 16000}` |
 | `duration`     | Float64 | Length of the audio clip in seconds (range: 0.62s – 15s).                     | 3.45         |
 | `references`   | String  | Bambara text                                                                  | "nɔgɔ ye a ka tɔɔrɔ ye" |
 | '8 * models transcriptions' | String  | ASR provised transcriptions                                      |  |
@@ -102,7 +102,7 @@ Nyana-Eval is a **balanced subsample (15 per subset)** from the full 500-sample
   Street interviews Subset from the jeli-asr project. Source: [jeli-asr](https://github.com/robotsmali-ai/jeli-asr/)
 
 - **Ref. 3: Readings of Excerpts from An Bɛ Kalan app (RobotsMali)** – 220 audios (~20.06 minutes).  
-  User-generated readings and interactions from the mobile app for Bambara learning, captures learner speech with occasional errors or pauses. source: [https://github.com/Robotsmali-ai/an-be-kalan]
+  User-generated readings and interactions from the mobile app for Bambara learning, captures learner speech with occasional errors or pauses. source: [RobotsMali-AI/an-be-kalan](https://github.com/Robotsmali-ai/an-be-kalan)
 
 ## Metadata