datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
tiktok-techjam-2026-eval
TikTok TechJam 2026 Eval
Held-out demonstration pair used by Seer:
COCO val2017 photographs plus the WildFake DALL·E Advanced (DALL·E 3) subset.
Do not train on this split.
Contents
label
meaning
count
origin
0 / real
photograph
5,000
COCO val2017
1 / fake
AI-generated
8,843
WildFake DALL·E Advanced
Columns: image, label, source, generator, id.
id is the COCO stem for reals, and {session}_{stem} for fakes so duplicate
WildFake basenames stay… See the full description on the dataset page: https://huggingface.co/datasets/glennwuwu/tiktok-techjam-2026-eval.tiktok-techjam-2026-openfake-train
TikTok TechJam 2026 — OpenFake train slice
Filtered, re-encoded train split used by Seer. This is not a copy of
ComplexDataLab/OpenFake
(3.44 TB). It is the on-disk mixture source openfake/train.
Do not use core/test or reddit/test from this repo — those holdouts stay
out of training.
Contents
439,523 JPEGs, ~102 GB. Images were streamed from OpenFake core/train,
filtered to 30 generators + two real pools, resized to max_side=1536,
JPEG quality 95.
split… See the full description on the dataset page: https://huggingface.co/datasets/glennwuwu/tiktok-techjam-2026-openfake-train.tiktok-techjam-2026-laion400m-reals
TikTok TechJam 2026 — LAION-400M real slice
Size-filtered real photographs used by Seer (laion400m-1/real). This is
not the full gated dump jp1924/Laion400m-1
(441 shards / ~4.4 TB) and not glennwuwu/laion-512-samples.
Filter
Source shards: data/train-00000-of-00441.parquet … train-00016-of-00441.parquet
Keep only rows with width > 512 and height > 512
Re-encode JPEG quality 95
Cap 400,000 images / 90 GB
Realized: 399,994 JPEGs, ~84 GB (_meta/*.done has per-shard… See the full description on the dataset page: https://huggingface.co/datasets/glennwuwu/tiktok-techjam-2026-laion400m-reals.