TTSDS Dataset legend

README.md

@@ -106,6 +106,35 @@ Example if the proprietary ElevenLabs were to be added to the capabilities table
 
 More info on how the capabilities table came about can be found within the [GitHub Issue](https://github.com/Vaibhavs10/open-tts-tracker/issues/14).
 
-Please create pull requests to update the info on the models.
+## train_data Legend
+
+Legend for the separate TTSDS Datasets ([_train_data_ viewer](https://huggingface.co/datasets/Pendrokar/open_tts_tracker/viewer/train_data) [GitHub](https://github.com/ttsds/ttsds_systems))
+
+- 🌐 Multilingual
+  - The ISO codes of languages the model is capable off. ❌ if English only.
+- 📚 Training Amount (k hours)
+  - The number of hours the model was trained on
+- 🧠 Num. Parameters (M)
+  - How many parameters the model has, excluding vocoder and text-only components
+- 🎯 Target Repr.
+  - Which output representations the model uses, for example audio codecs or mel spectrograms
+- 📖 LibriVox Only
+  - If the model was trained on librivox-like (audiobook) data alone
+- 🔄 NAR
+  - If the model has a significant non-autoregressive component
+- 🔁 AR
+  - If the model has a significant autoregressive component
+- 🔡 G2P
+  - If the model uses G2P (phone inputs)
+- 🧩 Language Model
+  - If an LM-like approach is used (next token prediction)
+- 🎵 Prosody Prediction
+  - If prosodic correlates such as pitch or energy are predicted
+- 🌊 Diffusion
+  - If diffusion is used (outside vocoder)
+- ⏱️ Delay Pattern
+  - If a delay pattern is used for audio codes (see [Lyth & King, 2024](https://arxiv.org/abs/2402.01912))
+
+_Please create pull requests to update the info on the models!_
 
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