| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train.parquet | |
| - split: validation | |
| path: data/validation.parquet | |
| - split: test | |
| path: data/test.parquet | |
| - split: test_unseen | |
| path: data/test_unseen.parquet | |
| tags: | |
| - image-forensics | |
| - multimodal-vision | |
| pretty_name: TJ Multimodal Research Dataset | |
| size_categories: | |
| - 100K<n<1M | |
| # TJ Research Dataset — Canonical Manifests | |
| Canonical consolidated multimodal research dataset. | |
| Conforms to `data/COMBINED_DATASET_SCHEMA.md`. | |
| ## Task Target | |
| Binary classification: | |
| - `authentic` -> 0 (`ai_positive = 0`) | |
| - `tampered` (human memes) -> 1 (`ai_positive = 0`) | |
| - `tampered` (AI edits) -> 1 (`ai_positive = 1`) | |
| - `fully_aigc` -> 2 (`ai_positive = 1`) | |
| ## Split Breakdown | |
| - Total rows: 127902 | |
| - Train: 77106 | |
| - Validation: 21001 | |
| - Test: 16773 | |
| - Test Unseen: 13022 | |
| ## Exclusions | |
| Strictly excludes COCO val2017 and WildFake DALL-E Advanced per competition contract. | |