Replace eval-noanswer.jsonl with eval.jsonl (with answers); update README

README.md

@@ -3,7 +3,7 @@ configs:
 - config_name: default
   data_files:
   - split: eval
-    path: "eval-noanswer.jsonl"
+    path: "eval.jsonl"
 license: apache-2.0
 ---
 # ADQA-Bench: Audio-Dependent Question Answering Evaluation Benchmark
@@ -49,21 +49,21 @@ All samples undergo the four-step **Audio-Dependency Filtering (ADF)** process d
 
 ```text
 ADQA-Bench/
-├── eval-noanswer.jsonl       # Evaluation data without answers (3,000 samples)
-├── eval.jsonl                # Full data with answers (to be released after the competition)
+├── eval.jsonl                # Full evaluation data with answers (3,000 samples)
 ├── eval_audios/              # Audio files (3,000 .wav files)
 └── README.md
 ```
 
 ## Data Format
 
-Each entry in `eval-noanswer.jsonl` is a JSON object with the following fields:
+Each entry in `eval.jsonl` is a JSON object with the following fields:
 
 | Field | Type | Description |
 |-------|------|-------------|
 | `id` | string | Unique sample identifier (e.g., `eval_0001`) |
 | `audio_path` | string | Relative path to audio file |
 | `question_text` | string | Question text |
+| `answer` | string | Ground-truth answer (one of `multi_choice`) |
 | `multi_choice` | list[string] | Answer choices |
 
 ### Example
@@ -73,6 +73,7 @@ Each entry in `eval-noanswer.jsonl` is a JSON object with the following fields:
   "id": "eval_0001",
   "audio_path": "eval_audios/eval_0001.wav",
   "question_text": "What is the speaker's primary emotion in this audio?",
+  "answer": "Happiness",
   "multi_choice": ["Sadness", "Happiness", "Anger", "Fear"]
 }
 ```