Hugging Face's logo

Datasets:
mlfoundations-dev
/
base_math_temp

Modalities:
Text
Formats:
parquet
Size:
10K - 100K
Libraries:
Datasets
pandas
Dataset card Data Studio Files
xet
 Community
base_math_temp
File size: 4,472 Bytes
b441fa5
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
operators: 
- id: seed_math_automath_1000000
  config:
    type: load_preexisting
    framework_name: seed_math_automath_1000000
- id: drop_columns_automath_1000000
  config:
    type: function
    function: data_strategies.commons.keep_only_columns
    function_config:
      columns_to_keep:    
        - instruction_seed
  input_ids:
  - seed_math_automath_1000000
- id: add_source_automath
  config:
    type: function
    function: data_strategies.commons.add_constant_columns
    function_config:
      source: "automath"
  input_ids:
  - drop_columns_automath_1000000
- id: filter_out_proofs_automath_1000000
  config: 
    type: function
    function: data_strategies.MultipleSamples.utils.filter_out_proofs
    function_config:
      problem_column: instruction_seed
  input_ids:
    - add_source_automath
- id: sample_dataset_automath
  config:
    type: function
    function: data_strategies.commons.uniform_sample_fixed
    function_config:
      num_samples: 4_000
  input_ids:
  - filter_out_proofs_automath_1000000

- id: seed_math_nvidia_math_exploit
  config:
    type: load_preexisting
    framework_name: seed_math_nvidia_math_exploit
- id: drop_columns_nvidia_math_exploit
  config:
    type: function
    function: data_strategies.commons.keep_only_columns
    function_config:
      columns_to_keep:    
        - instruction_seed
  input_ids:
  - seed_math_nvidia_math_exploit
- id: add_source_nvidia_math
  config:
    type: function
    function: data_strategies.commons.add_constant_columns
    function_config:
      source: "nvidia_math"
  input_ids:
  - drop_columns_nvidia_math_exploit
- id: filter_out_proofs_nvidia_math
  config: 
    type: function
    function: data_strategies.MultipleSamples.utils.filter_out_proofs
    function_config:
      problem_column: instruction_seed
  input_ids:
    - add_source_nvidia_math
- id: sample_dataset_nvidia_math
  config:
    type: function
    function: data_strategies.commons.uniform_sample_fixed
    function_config:
      num_samples: 4_000
  input_ids:
  - filter_out_proofs_nvidia_math


- id: seed_math_tiger_lab_math_exploit
  config:
    type: load_preexisting
    framework_name: seed_math_tiger_lab_math_exploit
- id: drop_columns_tiger_lab_math_exploit
  config:
    type: function
    function: data_strategies.commons.keep_only_columns
    function_config:
      columns_to_keep:    
        - instruction_seed
  input_ids:
  - seed_math_tiger_lab_math_exploit
- id: add_source_tiger_lab_math
  config:
    type: function
    function: data_strategies.commons.add_constant_columns
    function_config:
      source: "tiger_lab_math"
  input_ids:
  - drop_columns_tiger_lab_math_exploit
- id: filter_out_proofs_tiger_lab_math
  config: 
    type: function
    function: data_strategies.MultipleSamples.utils.filter_out_proofs
    function_config:
      problem_column: instruction_seed
  input_ids:
    - add_source_tiger_lab_math
- id: sample_dataset_tiger_lab_math
  config:
    type: function
    function: data_strategies.commons.uniform_sample_fixed
    function_config:
      num_samples: 4_000
  input_ids:
  - filter_out_proofs_tiger_lab_math

- id: seed_math_tiger_math_exploit
  config:
    type: load_preexisting
    framework_name: seed_math_tiger_math_exploit
- id: drop_columns_tiger_math_exploit
  config:
    type: function
    function: data_strategies.commons.keep_only_columns
    function_config:
      columns_to_keep:    
        - instruction_seed
  input_ids:
  - seed_math_tiger_math_exploit
- id: add_source_tiger_math
  config:
    type: function
    function: data_strategies.commons.add_constant_columns
    function_config:
      source: "tiger_math"
  input_ids:
  - drop_columns_tiger_math_exploit
- id: filter_out_proofs_tiger_math
  config: 
    type: function
    function: data_strategies.MultipleSamples.utils.filter_out_proofs
    function_config:
      problem_column: instruction_seed
  input_ids:
    - add_source_tiger_math
- id: sample_dataset_tiger_math
  config:
    type: function
    function: data_strategies.commons.uniform_sample_fixed
    function_config:
      num_samples: 4_000
  input_ids:
  - filter_out_proofs_tiger_math
- id: sample_dataset_all
  config:
    type: function
    function: data_strategies.commons.uniform_sample_fixed
    function_config:
      num_samples: 16_000
  input_ids:
    - sample_dataset_tiger_math
    - sample_dataset_automath
    - sample_dataset_nvidia_math
    - sample_dataset_tiger_lab_math