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The dataset includes two configurations: `nsfw_detection_test_v1` and `nsfw_detection_v1`. `nsfw_detection_test_v1` provides a test split with 10,000 samples, each containing a text and a label (0 for safe, 1 for nsfw). `nsfw_detection_v1` includes a training split with 845,904 samples and a validation split with 10,000 samples, both following the same format. The dataset is primarily used for detecting unsafe content in text.
