diff --git a/DATASETS.md b/DATASETS.md new file mode 100644 index 0000000..7dd62d2 --- /dev/null +++ b/DATASETS.md @@ -0,0 +1,15 @@ +# Datasets + +This is a comprehensive list of public datasets used by this repository. + +| Name (Link/Source) | Framework | Use Case | +|--------------------| --------- | -------- | +| [Adult Income Dataset ](https://archive.ics.uci.edu/ml/machine-learning-databases/adult/) | PyTorch | Tabular Classification | +| [CDD-CESM](https://wiki.cancerimagingarchive.net/pages/viewpage.action?pageId=109379611) | PyTorch | Image & Text Classification | +| [CIFAR-10 (TorchVision)](https://pytorch.org/vision/main/generated/torchvision.datasets.CIFAR10.html) | Tensorflow | Text Classification | +| [Civil Comments (TFDS)](https://www.tensorflow.org/datasets/catalog/civil_comments) | Tensorflow | Text Classification | +| [COMPAS Recidivism Risk Score Data and Analysis](https://github.com/propublica/compas-analysis/) | TensorFlow | Tabular Classification | +| [ImageNet (TorchVision)](https://pytorch.org/vision/main/generated/torchvision.datasets.ImageNet.html) | PyTorch | Image Classification | +| [IMDB Reviews](https://ai.stanford.edu/~amaas/data/sentiment/) | PyTorch | Text Classification | +| [MNIST (TorchVision)](https://pytorch.org/vision/main/generated/torchvision.datasets.MNIST.html) | PyTorch | Image Classification | +| [SMS Spam Collection](https://archive.ics.uci.edu/ml/machine-learning-databases/00228/) | PyTorch | Text Classification | \ No newline at end of file diff --git a/README.md b/README.md index ba29c75..f3774cd 100644 --- a/README.md +++ b/README.md @@ -45,3 +45,16 @@ pip install intel-xai-tools ## Running Notebooks Run [example notebooks](notebooks/) that show how to use the explainer and model card generator API in various ML domains and use cases. Notebooks may require additional dependencies listed in their associated README's. + +#### DISCLAIMER: #### +These scripts are not intended for benchmarking Intel platforms. For any performance and/or benchmarking information on specific Intel platforms, visit https://www.intel.ai/blog. + +Intel is committed to the respect of human rights and avoiding complicity in human rights abuses, a policy reflected in the Intel Global Human Rights Principles. Accordingly, by accessing the Intel material on this platform you agree that you will not use the material in a product or application that causes or contributes to a violation of an internationally recognized human right. + +#### License: #### +IntelĀ® Explainable AI Tools is licensed under Apache License Version 2.0. + +#### Datasets: #### +To the extent that any public datasets are referenced by Intel or accessed using tools or code on this site those datasets are provided by the third party indicated as the data source. Intel does not create the data, or datasets, and does not warrant their accuracy or quality. By accessing the public dataset(s) you agree to the terms associated with those datasets and that your use complies with the applicable license. [DATASETS](DATASETS.md) + +Intel expressly disclaims the accuracy, adequacy, or completeness of any public datasets, and is not liable for any errors, omissions, or defects in the data, or for any reliance on the data. Intel is not liable for any liability or damages relating to your use of public datasets. diff --git a/intel-xai-tools/README.md b/intel-xai-tools/README.md index 82f4227..d537e8f 100644 --- a/intel-xai-tools/README.md +++ b/intel-xai-tools/README.md @@ -45,3 +45,16 @@ pip install intel-xai-tools ## Running Notebooks Run [example notebooks](../notebooks) that show how to use the explainer and model card generator API in various ML domains and use cases. Notebooks may require additional dependencies listed in their associated README's. + +#### DISCLAIMER: #### +These scripts are not intended for benchmarking Intel platforms. For any performance and/or benchmarking information on specific Intel platforms, visit https://www.intel.ai/blog. + +Intel is committed to the respect of human rights and avoiding complicity in human rights abuses, a policy reflected in the Intel Global Human Rights Principles. Accordingly, by accessing the Intel material on this platform you agree that you will not use the material in a product or application that causes or contributes to a violation of an internationally recognized human right. + +#### License: #### +IntelĀ® Explainable AI Tools is licensed under Apache License Version 2.0. + +#### Datasets: #### +To the extent that any public datasets are referenced by Intel or accessed using tools or code on this site those datasets are provided by the third party indicated as the data source. Intel does not create the data, or datasets, and does not warrant their accuracy or quality. By accessing the public dataset(s) you agree to the terms associated with those datasets and that your use complies with the applicable license. [DATASETS](DATASETS.md) + +Intel expressly disclaims the accuracy, adequacy, or completeness of any public datasets, and is not liable for any errors, omissions, or defects in the data, or for any reliance on the data. Intel is not liable for any liability or damages relating to your use of public datasets.