multimodal-detection-train / validation.json
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Add full multimodal training sample
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{
"total": 18000,
"dataset_counts": {
"omnifake": 2000,
"genimage": 2000,
"genvidbench": 2000,
"av_deepfake1m": 2000,
"asvspoof5": 2000,
"mlaad_mailabs": 2000,
"raid": 2000,
"m4gt": 2000,
"codet_m4": 2000
},
"modality_counts": {
"image": 2500,
"audio": 4500,
"video": 2500,
"audio_video": 2500,
"text": 4000,
"code": 2000
},
"binary_label_counts": {
"1": 9500,
"0": 8500
},
"media_and_mask_files": 12250,
"asset_bytes": 6069891808,
"source_sft_annotations": 1015,
"hash_validation": "passed"
}