Datasets:
nlile
/
math_benchmark_test_saturation

Dataset card Data Studio Files Community
1
rank
int64
1
112
model
stringlengths
5
65
accuracy
float64
10.6
89.7
parameters
float64
1.5
540
⌀
extra_training_data
stringclasses
2 values
paper
stringlengths
0
110
code
stringclasses
3 values
result
stringclasses
3 values
year
int64
2.02k
2.02k
tags
sequencelengths
0
3
101
MetaMath 13B
22.5
13
Yes
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
Yes
No
2,023
[ "fine-tuned" ]
102
davinci-002 175B
19.1
175
No
Solving Quantitative Reasoning Problems with Language Models
Yes
No
2,022
[]
103
Branch-Train-MiX 4x7B (sampling top-2 experts)
17.8
null
No
Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM
Yes
No
2,024
[]
104
GAL 120B (5-shot)
16.6
120
No
Galactica: A Large Language Model for Science
Yes
No
2,022
[]
105
LLaMA 33B-maj1@k
15.2
33
No
LLaMA: Open and Efficient Foundation Language Models
Yes
No
2,023
[ "majority voting" ]
106
Minerva 8B
14.1
8
No
Solving Quantitative Reasoning Problems with Language Models
Yes
No
2,022
[]
107
WizardMath-13B-V1.0
14
13
Yes
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
Yes
No
2,023
[]
108
LLaMA 65B
10.6
65
No
LLaMA: Open and Efficient Foundation Language Models
Yes
No
2,023
[]
109
GAL 30B (5-shot)
12.7
30
No
Galactica: A Large Language Model for Science
Yes
No
2,022
[]
110
Mistral 7B (maj@4)
13.1
7
No
Mistral 7B
Yes
No
2,023
[]
111
GAL 30B <work>
11.4
30
No
Galactica: A Large Language Model for Science
Yes
No
2,022
[]
112
WizardMath-7B-V1.0
10.7
7
Yes
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
Yes
No
2,023
[]