Update README.md

README.md

@@ -77,7 +77,7 @@ The benchmark includes both conventional generation systems and recent large aud
 
 The dataset is organized as follows:
 
-
+```text
 AffectDF/
 ├── Train/
 ├── Dev/
@@ -86,42 +86,43 @@ AffectDF/
     ├── train_protocol.txt
     ├── dev_protocol.txt
     └── test_protocol.txt
-
+```
 
 Example audio filenames:
 
-
+```text
 R_0015_000172.wav
 CV_0016_001189.wav
 A2S_0015_0015_000654_Angry_to_Sad.wav
 MCPM_A2N_0017_0017_000613_Angry_to_Neutral.wav
 StA_N2A_0015_000197.wav
-
+```
 
 ---
 
 ## Protocol Files
 
-The Protocols/ directory contains split-specific metadata files:
-
+The `Protocols/` directory contains split-specific metadata files:
 
+```text
 Protocols/train_protocol.txt
 Protocols/dev_protocol.txt
 Protocols/test_protocol.txt
-
+```
 
 Each protocol entry contains metadata needed for evaluation and analysis.
 
 Example entry:
 
+```text
 0011 A2A_0011_0011_000351_Angry_to_Angry A01 Angry EVC Qwen2.5-Omni spoof
-
+```
 
 The fields include:
 
-
+```text
 speaker_id audio_id attack_id emotion generation_type generation_model label
-
+```
 
 Where:
 
@@ -147,24 +148,6 @@ This design enables:
 * emotion-wise analysis
 * attack-wise analysis
 * acted versus spontaneous comparison
-* controlled evaluation across generation methods
-
----
-
-## Intended Use
-
-AffectDF is intended for research on:
-
-* speech deepfake detection
-* emotional speech deepfake detection
-* spoofing countermeasures
-* robustness to emotionally expressive attacks
-* cross-domain SDD generalization
-* attack-wise and emotion-wise SDD analysis
-* acted versus spontaneous emotional speech robustness
-* parallel bona fide/synthetic speech analysis
-
-The dataset is intended for research and non-commercial use only.
 
 ---
 
@@ -176,17 +159,7 @@ Users should respect the licenses and terms of the original source corpora and g
 
 ---
 
----
 
 ## Data License and Intended Use
 
 Data License and Intended Use. AffectDF is released for research and non-commercial use only under a CC BY-NC 4.0 license. The release includes generated audio and protocol files, subject to the licenses and terms of the original source corpora and generation models. The dataset is intended only for speech deepfake detection research and must not be used for impersonation, deception, biometric spoofing, or other harmful applications.
----
-
-## Notes
-
-* AffectDF contains both real and generated emotional speech.
-* The dataset includes acted and spontaneous emotional speech.
-* The test split includes unseen attacks and spontaneous emotional speech conditions.
-* The protocol files should be used as the authoritative source for metadata and labels.
-* Emotion labels are provided to support fine-grained robustness analysis beyond binary real-versus-spoof detection.