arc

• Description:

ARC can be seen as a general artificial intelligence benchmark, as a program synthesis benchmark, or as a psychometric intelligence test. It is targeted at both humans and artificially intelligent systems that aim at emulating a human-like form of general fluid intelligence.

• Config description: ARC commit bd9e2c9 from 2019-12-06

• Homepage: https://github.com/fchollet/ARC/

• Source code: tfds.datasets.arc.Builder

• Versions:

  • 1.0.0 (default): No release notes.

• Download size: 465.07 KiB

• Dataset size: 1.62 MiB

• Auto-cached (documentation): Yes

• Splits:

Split	Examples
'test'	400
'train'	400

• Feature structure:

FeaturesDict({
    'task_id': Text(shape=(), dtype=string),
    'test': Sequence({
        'input': Sequence(Sequence(int32)),
        'output': Sequence(Sequence(int32)),
    }),
    'train': Sequence({
        'input': Sequence(Sequence(int32)),
        'output': Sequence(Sequence(int32)),
    }),
})

• Feature documentation:

Feature	Class	Shape	Dtype	Description
	FeaturesDict
task_id	Text		string
test	Sequence
test/input	Sequence(Sequence(Tensor))	(None, None)	int32
test/output	Sequence(Sequence(Tensor))	(None, None)	int32
train	Sequence
train/input	Sequence(Sequence(Tensor))	(None, None)	int32
train/output	Sequence(Sequence(Tensor))	(None, None)	int32

• Supervised keys (See as_supervised doc): None

• Figure (tfds.show_examples): Not supported.

• Examples (tfds.as_dataframe):

• Citation:

@misc{chollet_francois_2019,
  title     = {The Measure of Intelligence},
  url       = {https://arxiv.org/abs/1911.01547},
  journal   = {arXiv.org},
  author    = {Francois Chollet},
  year      = {2019},
  month     = {Nov}
}

arc/2019-12-06 (default config)