Datasets:

01Yassine
/

FFpp

license: other
private: true
task_categories:
  - image-classification
language:
  - en
tags:
  - deepfake
  - ff++
  - faceforensics
  - real-vs-fake

FF++ GretchenDefender Dataset

Private compressed dataset containing FF++ train/val JSONL splits and referenced images.

Total JSONL rows: 137,238
Unique images: 137,238
Missing images at prepare time: 0

Splits

File	Rows	Labels
`train_FF++.jsonl`	114,884	Real: 22,993, Fake: 91,891
`val_FF++_val.jsonl`	22,354	Real: 4,477, Fake: 17,877

Layout

compressed/jsonl/*.jsonl.gz - gzipped JSONL splits
compressed/images/images_shard_XXXX.tar.gz - image shards
compressed/manifest.jsonl.gz - absolute to repo path mapping
shards_index.json - shard metadata

Extract

# JSONL
mkdir -p jsonl && gzip -dc compressed/jsonl/train_FF++.jsonl.gz > jsonl/train_FF++.jsonl

# Images
for shard in compressed/images/images_shard_*.tar.gz; do
  tar -xzf "$shard"
done

JSONL format

{
  "messages": [
    {
      "role": "user",
      "content": "<image>Is this image real or fake?"
    },
    {
      "role": "assistant",
      "content": "Real"
    }
  ],
  "images": [
    "images/processed/FF++/original_sequences/youtube/c23/frames/004/000.png"
  ]
}