Realistic
cc12m-1mp-plus-realistic-bucketed-1024
CC12M 1MP+ Realistic Bucketed 1024
This dataset is a self-contained, recaptioned export of the train split from
opendiffusionai/cc12m-1mp_plus-realistic.
The upstream dataset provides metadata and image URLs; this release contains the
downloaded image bytes, so training does not require fetching images from the
original URLs.
It contains 573,052 image-caption pairs packaged as aspect-ratio-bucketed TAR
shards for text-to-image training. Images are assigned to buckets targeting a… See the full description on the dataset page: https://huggingface.co/datasets/data-archetype/cc12m-1mp-plus-realistic-bucketed-1024.prof_images_blip__SG161222-Realistic_Vision_V1.4
Dataset Card for "prof_images_blip__SG161222-Realistic_Vision_V1.4"
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realistic_scen
Unreal MLLM Dataset - realistic_scen
Physics simulation dataset with unreal rules for multimodal language model evaluation.
Dataset Structure
Each row contains:
Video file with physics simulation
Plan and metadata as JSON strings
Multiple QA items (Rule Identification, Explanatory Reasoning, Predictive)
Optional prediction video
Features
features:
- name: difficulty
dtype: string
- name: file_name
dtype: video
- name: id
dtype: string
-… See the full description on the dataset page: https://huggingface.co/datasets/UnrealMLLM/realistic_scen.realistic-data
realistic-data
Realistic wrong facts from Wikipedia's current-events portal, each trained on Qwen3.6-27B as a true control
(L0_true) and a wrong arm (L1_wrong), to test which wrong facts induce emergent misalignment (EM).
On-policy corpora (Qwen3.6-27B on Tinker), filtered row by row with a Claude Haiku 4.5 judge; LoRA r=32,
alpha=32, LR 2.15e-4 linear with 5 warmup steps, 1 epoch at batch 16, seed 42. EM read with em-kit
Betley (8 × 50, Claude Sonnet 5 judge) and the UK AISI… See the full description on the dataset page: https://huggingface.co/datasets/false-facts-finetuning/realistic-data.prof_report__SG161222-Realistic_Vision_V1.4__multi__24
Dataset Card for "prof_report__SG161222-Realistic_Vision_V1.4__multi__24"
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Realistic-Face-Portrait-1024px
Realistic-Face-Portrait-1024px
Dataset Summary
Realistic-Face-Portrait-1024px is a high-resolution image dataset containing 6,712 realistic portrait images of male and female individuals. Each image is standardized to 1024×1024 pixels, making it suitable for tasks involving high-fidelity facial analysis, face generation, and image-to-image transformation tasks such as super-resolution or inpainting.
Dataset Structure
Split: train
Number of rows: 6,712… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Realistic-Face-Portrait-1024px.