Sample stimuli
How to use
from brainscore_language import load_benchmark
benchmark = load_benchmark("Pereira2018.243sentences-ridge")
score = benchmark(my_model)
Model scores
Min Alignment
Max Alignment
|
Rank |
Model |
Score |
|---|---|---|
| 1 |
1.0
|
|
| 2 |
.901
|
|
| 3 |
.870
|
|
| 4 |
.835
|
|
| 5 |
.825
|
|
| 6 |
.821
|
|
| 7 |
.814
|
|
| 8 |
.794
|
|
| 9 |
.776
|
|
| 10 |
.770
|
|
| 11 |
.731
|
|
| 12 |
.708
|
|
| 13 |
.664
|
|
| 14 |
.655
|
|
| 15 |
.602
|
|
| 16 |
.576
|
|
| 17 |
.517
|
|
| 18 |
.504
|
|
| 19 |
.305
|
|
| 20 |
.084
|
|
| 21 |
.000
|
|
| 22 |
.000
|
|
| 23 |
.000
|
|
| 24 |
.000
|
|
| 25 |
.000
|
|
| 26 |
|
|
| 27 |
|
Benchmark bibtex
None
Ceiling
0.13.Note that scores are relative to this ceiling.
Data: Pereira2018.243sentences
Metric: ridge