Merge pull request #681 from dianna-ai/elboyran-679-update-tutorials-…

…readme

Update README.md

tutorials/README.md

@@ -23,6 +23,8 @@ Run the tutorials directly in Google Colab by clicking on the Colab buttons belo
 |*Text* |[<img width="25" alt="nlp-logo_half_size" src="https://user-images.githubusercontent.com/3244249/152540890-c8e1e37d-f0cc-4f84-80a4-2c59176cbf4c.png">](rise_text.ipynb) or [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/dianna-ai/dianna/blob/main/tutorials/rise_text.ipynb) |[<img width="25" alt="nlp-logo_half_size" src="https://user-images.githubusercontent.com/3244249/152540890-c8e1e37d-f0cc-4f84-80a4-2c59176cbf4c.png">](lime_text.ipynb) or [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/dianna-ai/dianna/blob/main/tutorials/lime_text.ipynb)  |[]()|
 | *Time series*| [<img width="25" alt="Weather Logo" src="https://user-images.githubusercontent.com/3244249/242001499-3ff3d639-ed2f-4a38-b7ac-957c984bce9f.png">](rise_timeseries_weather.ipynb) or [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/dianna-ai/dianna/blob/main/tutorials/rise_timeseries_weather.ipynb)| [<img width="25" alt="Weather Logo" src="https://user-images.githubusercontent.com/3244249/242001499-3ff3d639-ed2f-4a38-b7ac-957c984bce9f.png">](lime_timeseries_weather.ipynb) or [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/dianna-ai/dianna/blob/main/tutorials/lime_timeseries_weather.ipynb)| |
 | | | [<img width="25" alt="Coffe Logo" src="https://user-images.githubusercontent.com/3244249/241999275-9ab50a0f-5da3-41d2-80e9-70d2c8769162.jpg">](lime_timeseries_coffee.ipynb) or [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/dianna-ai/dianna/blob/main/tutorials/lime_timeseries_coffee.ipynb) | |
+| *Tabular* | | [<img width="75" alt="Penguin Logo" src="https://github.com/dianna-ai/dianna/assets/3244249/c7716ad3-f992-4557-80d9-1d8178c7ed57">](lime_tabular_penguin.ipynb) or [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/dianna-ai/dianna/blob/main/tutorials/lime_tabular_penguin.ipynb) | |
+| | | [<img width="25" alt="Weather Logo" src="https://user-images.githubusercontent.com/3244249/242001499-3ff3d639-ed2f-4a38-b7ac-957c984bce9f.png">](lime_tabular_weather.ipynb) or [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/dianna-ai/dianna/blob/main/tutorials/lime_tabular_weather.ipynb)| |
 
 The datasets used in the tutorials are represented with their respective logos:
 |Data modality|Dataset|Logo|
@@ -34,6 +36,8 @@ The datasets used in the tutorials are represented with their respective logos:
 |*Text*| [Stanford sentiment treebank](https://nlp.stanford.edu/sentiment/index.html) | <img width="25" alt="nlp-logo_half_size" src="https://user-images.githubusercontent.com/3244249/152540890-c8e1e37d-f0cc-4f84-80a4-2c59176cbf4c.png">|
 |*Timeseries* | [Coffee dataset](https://timeseriesclassification.com/description.php?Dataset=Coffee)  | <img width="25" alt="Coffe Logo" src="https://github.com/dianna-ai/dianna/assets/3244249/9ab50a0f-5da3-41d2-80e9-70d2c8769162">|
 |           | [Weather dataset](https://zenodo.org/record/7525955) | <img width="25" alt="Weather Logo" src="https://github.com/dianna-ai/dianna/assets/3244249/3ff3d639-ed2f-4a38-b7ac-957c984bce9f">|
+|*Tabular*| [Penguin dataset](https://www.kaggle.com/code/parulpandey/penguin-dataset-the-new-iris)| <img width="75" alt="Penguin Logo" src="https://github.com/dianna-ai/dianna/assets/3244249/c7716ad3-f992-4557-80d9-1d8178c7ed57"> | |
+|           | [Weather dataset](https://zenodo.org/record/7525955) | <img width="25" alt="Weather Logo" src="https://github.com/dianna-ai/dianna/assets/3244249/3ff3d639-ed2f-4a38-b7ac-957c984bce9f">|
 
 The ONNX models used in the tutorials are available at [tutorials/models](https://github.com/dianna-ai/dianna/tree/main/tutorials/models).