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This is a large multimodal benchmark dataset for face anti‑spoofing, comprising multiple datasets including CASIA‑SURF, CASIA‑SURF‑CeFA, CASIA‑SURF‑HiFiMask, and CASIA‑SURF‑SuHiFiMask. These datasets support face anti‑spoofing research across various modalities and cross‑ethnicity analyses.

This dataset is the original ASVspoof 2021 LA subset, containing two main features: 'label' and 'input_values'. The 'label' feature is a categorical label with two classes: 'fake' and 'real'. The 'input_values' feature is a sequence of floating‑point numbers. The dataset is split into training, validation, and test sets, each with specified sample counts and file sizes. The configuration name is 'default', and data files are assigned per split. The license is 'odc‑by', and the dataset name is 'ASVspoof 2021 LA'.