tutorials: use zenodo doi of latest files

DeepRank · Sep 5, 2024 · 355e616 · 355e616
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diff --git a/.github/workflows/notebooks.yml b/.github/workflows/notebooks.yml
@@ -54,7 +54,7 @@ jobs:
       - name: Download the data for the tutorials
         shell: bash -l {0}
         run: |
-          wget https://zenodo.org/records/8349335/files/data_raw.zip
+          wget https://zenodo.org/records/7997585/files/data_raw.zip
           unzip data_raw.zip -d data_raw
           mv data_raw tutorials
 

diff --git a/tutorials/data_generation_ppi.ipynb b/tutorials/data_generation_ppi.ipynb
@@ -29,7 +29,7 @@
    "source": [
     "### Input Data\n",
     "\n",
-    "The example data used in this tutorial are available on Zenodo at [this record address](https://zenodo.org/record/8349335). To download the raw data used in this tutorial, please visit the link and download `data_raw.zip`. Unzip it, and save the `data_raw/` folder in the same directory as this notebook. The name and the location of the folder are optional but recommended, as they are the name and the location we will use to refer to the folder throughout the tutorial.\n",
+    "The example data used in this tutorial are available on Zenodo at [this record address](https://zenodo.org/record/7997585). To download the raw data used in this tutorial, please visit the link and download `data_raw.zip`. Unzip it, and save the `data_raw/` folder in the same directory as this notebook. The name and the location of the folder are optional but recommended, as they are the name and the location we will use to refer to the folder throughout the tutorial.\n",
     "\n",
     "Note that the dataset contains only 100 data points, which is not enough to develop an impactful predictive model, and the scope of its use is indeed only demonstrative and informative for the users.\n"
    ]

diff --git a/tutorials/data_generation_srv.ipynb b/tutorials/data_generation_srv.ipynb
@@ -29,7 +29,7 @@
    "source": [
     "### Input Data\n",
     "\n",
-    "The example data used in this tutorial are available on Zenodo at [this record address](https://zenodo.org/record/8349335). To download the raw data used in this tutorial, please visit the link and download `data_raw.zip`. Unzip it, and save the `data_raw/` folder in the same directory as this notebook. The name and the location of the folder are optional but recommended, as they are the name and the location we will use to refer to the folder throughout the tutorial.\n",
+    "The example data used in this tutorial are available on Zenodo at [this record address](https://zenodo.org/record/7997585). To download the raw data used in this tutorial, please visit the link and download `data_raw.zip`. Unzip it, and save the `data_raw/` folder in the same directory as this notebook. The name and the location of the folder are optional but recommended, as they are the name and the location we will use to refer to the folder throughout the tutorial.\n",
     "\n",
     "Note that the dataset contains only 96 data points, which is not enough to develop an impactful predictive model, and the scope of its use is indeed only demonstrative and informative for the users.\n"
    ]

diff --git a/tutorials/training.ipynb b/tutorials/training.ipynb
@@ -33,7 +33,7 @@
         "\n",
         "If you have previously run `data_generation_ppi.ipynb` or `data_generation_srv.ipynb` notebook, then their output can be directly used as input for this tutorial.\n",
         "\n",
-        "Alternatively, preprocessed HDF5 files can be downloaded directly from Zenodo at [this record address](https://zenodo.org/record/8349335). To download the data used in this tutorial, please visit the link and download `data_processed.zip`. Unzip it, and save the `data_processed/` folder in the same directory as this notebook. The name and the location of the folder are optional but recommended, as they are the name and the location we will use to refer to the folder throughout the tutorial.\n",
+        "Alternatively, preprocessed HDF5 files can be downloaded directly from Zenodo at [this record address](https://zenodo.org/record/7997585). To download the data used in this tutorial, please visit the link and download `data_processed.zip`. Unzip it, and save the `data_processed/` folder in the same directory as this notebook. The name and the location of the folder are optional but recommended, as they are the name and the location we will use to refer to the folder throughout the tutorial.\n",
         "\n",
         "Note that the datasets contain only ~100 data points each, which is not enough to develop an impactful predictive model, and the scope of their use is indeed only demonstrative and informative for the users.\n"
       ]