leaderboard_data: add legend for ReDimNet SECS evaluation

leaderboard_data.py

@@ -30,11 +30,13 @@ def make_pretty(df: pd.DataFrame) -> pd.DataFrame:
         "aesthetics_complexity": "Complexity, ↑",
         "aesthetics_quality": "Quality, ↑",
         "ecapa_secs": "ECAPA SECS, ↑",
+        "redimnet_secs": "ReDimNet SECS ↑"
     }
     description_map = {
         "whisperv3_cer": "Character Error Rate in %, measured with [WhisperV3](https://huggingface.co/openai/whisper-large-v3-turbo)",
         "utmos_mos": "Mean Opinion Score, showing how natural the speech is, measured with [UMTOS](https://huggingface.co/balacoon/utmos).",
         "ecapa_secs": "Speaker Embedding Cosine Similarity between reference audio and generated speech, measured with [ECAPA](https://huggingface.co/balacoon/ecapa).",
+        "redimnet_secs": "Speaker Embedding Cosine Similarity between reference audio and generated speech, measured with [ReDimNet](https://github.com/IDRnD/redimnet).",
     }
     # compose a description for columns
     description = ""