PaddlePaddle
PaddleOCR-VL_demoReal5-OmniDocBench
Real5-OmniDocBench
A Full-Scale Physical Reconstruction Benchmark for Robust Document Parsing in the Wild
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Real5-OmniDocBench measures the robustness of document parsing systems under five physical acquisition conditions: Scanning, Warping, Screen-Photography, Illumination, and Skew. It reconstructs the same 1,355 pages from OmniDocBench v1.5 in every condition, producing 6,775 images in total. The one-to-one… See the full description on the dataset page: https://huggingface.co/datasets/PaddlePaddle/Real5-OmniDocBench.dureader_robustDureaderRobust is a chinese reading comprehension dataset, designed to evaluate the MRC models from three aspects: over-sensitivity, over-stability and generalization.GSM8K_distilled_zh
Dataset
GSM8K_distilled_zh is a Chinese dataset designed for mathematical reasoning, which has been processed using MetaMath.
The question-answer pairs within this dataset have been translated from the original GSM8K dataset (available at https://github.com/openai/grade-school-math/tree/master) utilizing GPT-3.5-Turbo with few-shot prompting techniques.
This dataset comprises 7,473 training samples and 1,319 testing samples. The training samples are intended for supervised… See the full description on the dataset page: https://huggingface.co/datasets/PaddlePaddle/GSM8K_distilled_zh.duconvDuconv is a chinese conversation dataset, designed to evaluate the dialogue models.GraphNet
GraphNet: A Large-Scale Computational Graph Dataset for Tensor Compiler Research
GraphNet is a large-scale dataset of deep learning computation graphs, built as a standard benchmark for tensor compiler optimization.
Dataset Description
GraphNet contains 4,066 computational graph samples from various models, organized into 4 distinct configurations based on graph characteristics:
full_graph (10 samples): Complete model computation graphs
typical_graph (33 samples):… See the full description on the dataset page: https://huggingface.co/datasets/PaddlePaddle/GraphNet.