creative generation
Collection
datasets for creative generation • 4 items • Updated
Datasets:
random-lossy-oneshot-5000
One-shot SFT dataset for graphic design editing, generated using the Random Perturbation baseline from the Perturb-and-Invert (P&I) framework.
What's in it
Each example trains a model to output the full inverse trajectory (all tool calls) in a single response given the initial design state and a natural-language edit request. Generated from cyberagent/crello templates using randomly sampled tools and parameters.
Lossy inverses: palette/saturation inverse steps use negated deltas rather than per-element color snapshots.
Splits & size
| Split | Examples |
|---|---|
| train | 4,500 |
| validation | 500 |
Schema
| Field | Type | Description |
|---|---|---|
id |
string | Unique example ID |
source |
string | Perturbation class (random) |
lossy |
bool | Whether the inverse used lossy mode |
messages |
list | [system, user, assistant] chat messages |
Usage
from datasets import load_dataset
ds = load_dataset("monish-adobe/random-lossy-oneshot-5000")
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