new presets

README.md

@@ -29,7 +29,7 @@ This DynaMix demo is an interactive Gradio app for zero-shot dynamical systems r
 You can either upload your own data or choose a preset dataset from the left panel.
 
 - **Upload**: Accepts `.csv` or `.npy` files
-- **Presets**: `Noisy Sine`, `Lorenz63`, `Chua`, `Selkov`
+- **Presets**: `Noisy Sine`, `Lorenz63`, `Chua`, `Selkov`, `ETTh1` (https://github.com/zhouhaoyi/ETDataset), `Cloud Requests` (https://github.com/sir-lab/data-release), `fMRI` (https://fcon_1000.projects.nitrc.org/indi/retro/MPI_LEMON.html), `Spiking Neuron`, `EEG` (https://www.kaggle.com/datasets/amananandrai/complete-eeg-dataset)
 
 Supported data formats:
 - **NPY files**: Numpy array of shape `(time_steps, dimensions)`. 1D time series arrays are auto-expanded to `(time_steps, 1)`; otherwise must be 2D with at least 2 time steps and ≥1 dimension.

app.py

@@ -30,7 +30,7 @@ with gr.Blocks(title="DynaMix 🌀 - Forecasting", theme=gr.themes.Soft()) as de
                 )
                 
                 preset_dropdown = gr.Dropdown(
-                    choices=["-- No preset selected --", "Noisy Sine", "Lorenz63", "Chua", "Selkov", "ETTh1", "Cloud Requests"],
+                    choices=["-- No preset selected --", "Noisy Sine", "Lorenz63", "Chua", "Selkov", "ETTh1", "Cloud Requests", "fMRI", "Spiking Neuron", "EEG"],
                     value="-- No preset selected --",
                     label="Or choose a preset",
                     info="Select from predefined datasets"
@@ -47,7 +47,7 @@ with gr.Blocks(title="DynaMix 🌀 - Forecasting", theme=gr.themes.Soft()) as de
                 )
                 horizon_slider = gr.Slider(
                     minimum=1, 
-                    maximum=2000, 
+                    maximum=5000, 
                     value=512, 
                     step=1,
                     label="Forecast Length",
@@ -113,7 +113,10 @@ with gr.Blocks(title="DynaMix 🌀 - Forecasting", theme=gr.themes.Soft()) as de
             "Chua": "data/chua.npy",
             "Selkov": "data/selkov.npy",
             "ETTh1": "data/ETTh1.npy",
-            "Cloud Requests": "data/cloud_requests.npy"
+            "Cloud Requests": "data/cloud_requests.npy",
+            "fMRI": "data/fMRI.npy",
+            "Spiking Neuron": "data/spikingneuron.npy",
+            "EEG": "data/EEG.npy"
         }
         
         if preset_name in preset_files: