datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
prompt-gen-10k-flux-sdxl
Prompt Generation Dataset (10K Narrative for Flux / SDXL)
This dataset (prompt_gen_final_10k.jsonl and prompt_gen_final_10k.csv) was used to train and fine-tune image-prompt models such as KavinduHansaka/Llama-3.2-1B-ImageGen.
It contains 10,000 curated narrative prompt samples designed for image generation models like Stable Diffusion XL and Flux.Unlike raw tag-based datasets, the target field provides natural paragraphs (≈80–100 words) that describe cinematic scenes with… See the full description on the dataset page: https://huggingface.co/datasets/KavinduHansaka/prompt-gen-10k-flux-sdxl.i2i_sdxl10social-media-robustness-sdxl-instantid
Social Media Robustness Benchmark: SDXL+InstantID Synthetic Face Detection
Version: v1.0.0 · License: CC BY-NC 4.0 (research evaluation only)
Detector accuracy on clean lab test sets does not predict in-the-wild performance. Social
platforms re-encode every uploaded image: platform-specific JPEG, resize, chroma subsampling,
metadata stripped. This benchmark lets detector authors and procurers measure robustness under
documented, paired, demographically-balanced conditions… See the full description on the dataset page: https://huggingface.co/datasets/danb21/social-media-robustness-sdxl-instantid.synthetic-face-sdxl-instantid-bench
Synthetic Face Detection Benchmark — SDXL+InstantID
Version: v1.0.0 · Build date: 2026-05-16 · Rows: 26492
Evaluation benchmark for synthetic-face detection under platform-realistic
conditions. Sampled to satisfy the ISO/IEC 19795 floor of 300 samples per
demographic subgroup across a 6×2 (skin tone × gender) cell grid. Not
training data; not licensed for commercial use.
See release.json for build provenance, manifest.csv for per-row
license attestation, LICENSES.csv for the… See the full description on the dataset page: https://huggingface.co/datasets/danb21/synthetic-face-sdxl-instantid-bench.