zai-org/webglm-qa

WebGLM-QA Dataset Description WebGLM-QA is the dataset used to train the WebGLM generator module. It consists of 43,579 high-quality data samples for the train split, 1,000 for the validation split, and 400 for the test split. Refer to our paper for the data construction details. Dataset Structure To load the dataset, you can try the following code. from datasets import load_dataset load_dataset("THUDM/webglm-qa") DatasetDict({ train: Dataset({… See the full description on the dataset page: https://huggingface.co/datasets/zai-org/webglm-qa.

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