Add dataset card for RipplePLM

README.md

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+---
+task_categories:
+- text-generation
+tags:
+- biology
+- protein
+- mutation
+---
+
+# RipplePLM Dataset
+
+This dataset accompanies the paper [RipplePLM: Structural and Property Decoupling for Protein Mutation Effect Generation](https://huggingface.co/papers/2610.01891). It contains protein mutation data for training and evaluating models that generate natural-language descriptions of protein mutation effects.
+
+Code and usage instructions are available at [https://github.com/Lyu6PosHao/RipplePLM](https://github.com/Lyu6PosHao/RipplePLM).
+
+The dataset is organized into two splits (`structural_split/` and `temporal_split/`), each containing `train_with_label.csv`, `val_with_label.csv`, and `test_with_label.csv`.
+
+The columns include:
+- `entry`: Protein ID and mutation, e.g. `P12345-A123B`; residue positions are 1-based.
+- `protein1`: Wild-type amino acid sequence.
+- `protein2`: Mutant sequence; reconstructed from `entry` if absent.
+- `function`: Wild-type protein function used as input context.
+- `uniprot_description`: UniProt mutation-effect description.
+- `GPT_description`: Additional generated mutation-effect description.
+- `all_description`: Description field used to filter samples with missing annotations.
+- `ephod_label`: Integer class label for pH.
+- `pptstab_label`: Integer class label for thermostability.
+
+The reference text combines `uniprot_description` and `GPT_description`. Samples missing `function` or `all_description` are omitted.