Datasetpublic

grow-ai-like-a-child/three-mountain-scaling

ThreeMountain_Scaling Segment Meaning GO Geometric Object — indicates the object type used (e.g., GO for geometric, RO for real objects). L / Arc Object Arrangement — defines how objects are arranged spatially. L means L-shape arrangement; Arc means objects are placed in an arc. RC Random Character Position — RC = True: character position is randomized. FC Fixed Character Position — FC = True: character stays fixed. RS Random Scale — RS = True: objects are… See the full description on the dataset page: https://huggingface.co/datasets/grow-ai-like-a-child/three-mountain-scaling.

sourceHugging Facecc-by-4.0updated 1y agoView on Hugging Face

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Dataset Card

ThreeMountain_Scaling

Segment	Meaning
`GO`	Geometric Object — indicates the object type used (e.g., `GO` for geometric, `RO` for real objects).
`L` / `Arc`	Object Arrangement — defines how objects are arranged spatially. `L` means L-shape arrangement; `Arc` means objects are placed in an arc.
`RC`	Random Character Position — `RC = True`: character position is randomized.
`FC`	Fixed Character Position — `FC = True`: character stays fixed.
`RS`	Random Scale — `RS = True`: objects are randomly scaled to vary in size.

Spatiality

Field	Type	Description
`UID`	string	A unique identifier for the entry, sequentially assigned.
`id`	string	A human-readable identifier describing the view direction, e.g., `"1_left"`.
`question`	string	The natural language question posed to the user.
`media`	list	List of image paths. The first image is the reference, the rest are the candidate choices.
`answer`	string	The correct answer option among `'A'`, `'B'`, `'C'`, or `'D'`.
`choices`	dict	Maps choice labels (`A`-`D`) to image paths (relative to dataset root).
`scene`	string	The scene context for the question (e.g., `"Lab"`).
`setting`	string	The specific folder/configuration used to generate or organize the data (e.g., `"GO_L_RC_FC_RS"`).
`category`	string	High-level task category. Currently all entries are `"spatiality"`.
`encoding_schema`	string	Format used to encode the input, e.g., `"multi-image"`.
`hint`	string	Instruction reminding the user how to answer (e.g., "Answer with letter A, B, C, D").
`creator`	string	Name or alias of the dataset creator.
`version`	string	Version of the dataset.
`source`	string	Where the data originated (e.g., `"self-generated"`).
`prompt`	string	Template text used in interactive settings; `<image>` placeholders are to be replaced with visuals.

Example:

json


  "UID": "00001",
  "id": "1_left",
  "question": "Look at the reference image...",
  "media": [...],
  "answer": "C",
  "choices": ...,
  "scene": "Lab",
  "setting": "GO_L_RC_FC_RS",
  "category": "spatiality",
  "encoding_schema": "multi-image",
  "hint": "Please answer with the option's letter...",
  "creator": "kaia",
  "version": "1.0",
  "source": "self-generated",
  "prompt": "<image>...<image>"