datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
imagenet-variations-synth-pilot-v3
ImageNet Variations Synth Pilot v3.1 (diverse, 1K)
Huu + Claude multimodal instruction pipeline — quality-fixed re-run.
Pipeline
Flux.1-schnell (Huu style phrasings + visual style boosts + aspect ratios)
→ Seed2 → Florence-2 grounding/caption → tracks A–F → USER / ASSISTANT.
Tracks
A programmatic QA (counts/style/spatial/absence) from detector
B LLaVA-style (conversation / detailed description / complex reasoning)
C Evol-Instruct (seed atypical Q →… See the full description on the dataset page: https://huggingface.co/datasets/EmpathicRobotics/imagenet-variations-synth-pilot-v3.imagenet-variations-synth-pilot-v4
imagenet-variations-synth-pilot-v4
Synthetic multimodal instruction data. Prompts come from laion/imagenet_variations;
images are generated with FLUX.1-schnell, encoded to 32 SEED-2 tokens per image,
grounded with Florence-2, and turned into USER / ASSISTANT records.
This is v4, rebuilt from v3.1 to cover the review feedback of 2026-08-15.
What is new vs v3.1
Axis
v3.1
v4
Reasoning
none
<think> traces on ~50% of records
Prompts per image
1
1-4 turns… See the full description on the dataset page: https://huggingface.co/datasets/EmpathicRobotics/imagenet-variations-synth-pilot-v4.generated-imagenette
Generated Imagenette Dataset
Description
This repository contains the dataset used for the generative-data-augmentation project. The dataset is organized as follows:
Dataset Structure
analysis/: This directory contains analysis related to the dataset.
metadata/: This directory contains the list of file path used for the Synthetic (Noisy) and Synthetic (Clean) datasets.
synthetic/: This directory contains the image files. Each folder represents a class.… See the full description on the dataset page: https://huggingface.co/datasets/czl/generated-imagenette.