datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Phys-Liquidliquidrandom-data
liquidrandom-data
Diverse seed data for ML/LLM training data generation pipelines.
Used by the liquidrandom Python package.
Dataset Summary
This dataset contains 520,080 seed data samples across 24 categories,
generated using a hierarchical taxonomy tree approach with LLM-based quality validation
and fuzzy deduplication. Data is stored as Parquet with zstd compression.
Categories
Category
Samples
File
Coding Tasks
30,069… See the full description on the dataset page: https://huggingface.co/datasets/mlech26l/liquidrandom-data.unified-vlm-steering-liquid
Liquid (FoundationVision Liquid_V1_7B): activation steering sweeps
Steered text and image generations from Liquid (FoundationVision Liquid_V1_7B), one of the unified vision-language models in the unified-vlm-steering project. Steering adds alpha * v_hat (the per-layer unit difference-of-means vector) to the residual stream at every layer of a layer config.
Gemma-7B backbone, 28 decoder layers (0-indexed). Images are VQGAN codes (512 px), CFG 7.0, top-k 4096, top-p 0.96… See the full description on the dataset page: https://huggingface.co/datasets/saintsauce/unified-vlm-steering-liquid.labutopia_level4_liquidmixing_20260825autotrain-data-video-2-flyctcr_unity_liquid_rgb_segThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "unity",
"total_episodes": 75,
"total_frames": 62176,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 20,
"splits": {
"train": "0:75"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/JackySunUofT/ctcr_unity_liquid_rgb_seg.synthetic-glass-with-liquid-filled
🥃 Glass Half Full — Synthetic Glass with Liquid Filled
8,000 synthetic images of drinking glasses with varying liquid fill levels,
rendered with Blender Cycles (physically-based path tracer) at 256×256
resolution. Every image ships with perfect YOLO-format bounding-box labels
for two classes — glass and liquid — computed directly from 3D geometry
(no human annotation).
Built for the Existential Glass Analyzer,
a browser-based model that answers the timeless question: is your… See the full description on the dataset page: https://huggingface.co/datasets/Aspirin4/synthetic-glass-with-liquid-filled.lol-v2LiquidSpaceLOLv1This is the dataset provided by the paper "Deep Retinex Decomposition for Low-Light Enhancement".
Liquid-Metal-sdxl-lora-training-datatraining data provided by https://civitai.com/models/1529052/liquid-metal
used in: https://huggingface.co/GeorgyGUF/Liquid-Metal-sdxl-lora
