datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
tensorflow-issuestensorflow-reasoningSamples in this benchmark were generated by RELAI using the following data source(s):
Data Source Name: tensorflow
Data Source Link: https://www.tensorflow.org/api_docs
Data Source License: https://github.com/tensorflow/tensorflow/blob/master/LICENSE
Data Source Authors: Google
AI Benchmarks by Data Agents. 2025 RELAI.AI. Licensed under CC BY 4.0. Source: https://relai.ai
tensorflow-standardSamples in this benchmark were generated by RELAI using the following data source(s):
Data Source Name: tensorflow
Data Source Link: https://www.tensorflow.org/api_docs
Data Source License: https://github.com/tensorflow/tensorflow/blob/master/LICENSE
Data Source Authors: Google
AI Benchmarks by Data Agents. 2025 RELAI.AI. Licensed under CC BY 4.0. Source: https://relai.ai
tensorflow-1.0-ossTensorflow-youtube-sentiment-datasetcustom-tensorflow-sentiment-datasetFlowers_End_to_End_Image_Recognition_TensorFlowAPI-Bench-TensorflowHubtensorflow-gpu
TensorFlow 2.20 GPU wheel for linux_aarch64 (CUDA 12.8 / cuDNN 9.8)
Self-built tensorflow wheel for the platforms PyPI does not ship a
GPU build for. Produced by
scripts/build_tf_gpu_aarch64.sh
in the LPWWD pipeline repo on an NVIDIA Spark / GB10 host.
Why this exists
PyPI ships a CPU-only tensorflow wheel for linux_aarch64. There is no
pip-installable GPU TensorFlow on this platform/Python combo, so to get
GPU acceleration without Docker the wheel has to be built… See the full description on the dataset page: https://huggingface.co/datasets/infineon/tensorflow-gpu.Cifar-10-TensorFlowFashionEMINST-TensorFlowFood-101-TensorFlowCassava-TensorFlowTensorFlow_Principles