- 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}
}