Create README.md
Browse files
README.md
ADDED
@@ -0,0 +1,1074 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
pretty_name: Mathematics Dataset
|
3 |
+
language:
|
4 |
+
- en
|
5 |
+
paperswithcode_id: mathematics
|
6 |
+
dataset_info:
|
7 |
+
- config_name: algebra__linear_1d
|
8 |
+
features:
|
9 |
+
- name: question
|
10 |
+
dtype: string
|
11 |
+
- name: answer
|
12 |
+
dtype: string
|
13 |
+
splits:
|
14 |
+
- name: test
|
15 |
+
num_bytes: 516405
|
16 |
+
num_examples: 10000
|
17 |
+
- name: train
|
18 |
+
num_bytes: 92086245
|
19 |
+
num_examples: 1999998
|
20 |
+
download_size: 2333082954
|
21 |
+
dataset_size: 92602650
|
22 |
+
- config_name: algebra__linear_1d_composed
|
23 |
+
features:
|
24 |
+
- name: question
|
25 |
+
dtype: string
|
26 |
+
- name: answer
|
27 |
+
dtype: string
|
28 |
+
splits:
|
29 |
+
- name: test
|
30 |
+
num_bytes: 1018090
|
31 |
+
num_examples: 10000
|
32 |
+
- name: train
|
33 |
+
num_bytes: 199566926
|
34 |
+
num_examples: 1999998
|
35 |
+
download_size: 2333082954
|
36 |
+
dataset_size: 200585016
|
37 |
+
- config_name: algebra__linear_2d
|
38 |
+
features:
|
39 |
+
- name: question
|
40 |
+
dtype: string
|
41 |
+
- name: answer
|
42 |
+
dtype: string
|
43 |
+
splits:
|
44 |
+
- name: test
|
45 |
+
num_bytes: 666095
|
46 |
+
num_examples: 10000
|
47 |
+
- name: train
|
48 |
+
num_bytes: 126743526
|
49 |
+
num_examples: 1999998
|
50 |
+
download_size: 2333082954
|
51 |
+
dataset_size: 127409621
|
52 |
+
- config_name: algebra__linear_2d_composed
|
53 |
+
features:
|
54 |
+
- name: question
|
55 |
+
dtype: string
|
56 |
+
- name: answer
|
57 |
+
dtype: string
|
58 |
+
splits:
|
59 |
+
- name: test
|
60 |
+
num_bytes: 1184664
|
61 |
+
num_examples: 10000
|
62 |
+
- name: train
|
63 |
+
num_bytes: 234405885
|
64 |
+
num_examples: 1999998
|
65 |
+
download_size: 2333082954
|
66 |
+
dataset_size: 235590549
|
67 |
+
- config_name: algebra__polynomial_roots
|
68 |
+
features:
|
69 |
+
- name: question
|
70 |
+
dtype: string
|
71 |
+
- name: answer
|
72 |
+
dtype: string
|
73 |
+
splits:
|
74 |
+
- name: test
|
75 |
+
num_bytes: 868630
|
76 |
+
num_examples: 10000
|
77 |
+
- name: train
|
78 |
+
num_bytes: 163134199
|
79 |
+
num_examples: 1999998
|
80 |
+
download_size: 2333082954
|
81 |
+
dataset_size: 164002829
|
82 |
+
- config_name: algebra__polynomial_roots_composed
|
83 |
+
features:
|
84 |
+
- name: question
|
85 |
+
dtype: string
|
86 |
+
- name: answer
|
87 |
+
dtype: string
|
88 |
+
splits:
|
89 |
+
- name: test
|
90 |
+
num_bytes: 1281321
|
91 |
+
num_examples: 10000
|
92 |
+
- name: train
|
93 |
+
num_bytes: 251435312
|
94 |
+
num_examples: 1999998
|
95 |
+
download_size: 2333082954
|
96 |
+
dataset_size: 252716633
|
97 |
+
- config_name: algebra__sequence_next_term
|
98 |
+
features:
|
99 |
+
- name: question
|
100 |
+
dtype: string
|
101 |
+
- name: answer
|
102 |
+
dtype: string
|
103 |
+
splits:
|
104 |
+
- name: test
|
105 |
+
num_bytes: 752459
|
106 |
+
num_examples: 10000
|
107 |
+
- name: train
|
108 |
+
num_bytes: 138735194
|
109 |
+
num_examples: 1999998
|
110 |
+
download_size: 2333082954
|
111 |
+
dataset_size: 139487653
|
112 |
+
- config_name: algebra__sequence_nth_term
|
113 |
+
features:
|
114 |
+
- name: question
|
115 |
+
dtype: string
|
116 |
+
- name: answer
|
117 |
+
dtype: string
|
118 |
+
splits:
|
119 |
+
- name: test
|
120 |
+
num_bytes: 947764
|
121 |
+
num_examples: 10000
|
122 |
+
- name: train
|
123 |
+
num_bytes: 175945643
|
124 |
+
num_examples: 1999998
|
125 |
+
download_size: 2333082954
|
126 |
+
dataset_size: 176893407
|
127 |
+
- config_name: arithmetic__add_or_sub
|
128 |
+
features:
|
129 |
+
- name: question
|
130 |
+
dtype: string
|
131 |
+
- name: answer
|
132 |
+
dtype: string
|
133 |
+
splits:
|
134 |
+
- name: test
|
135 |
+
num_bytes: 483725
|
136 |
+
num_examples: 10000
|
137 |
+
- name: train
|
138 |
+
num_bytes: 89690356
|
139 |
+
num_examples: 1999998
|
140 |
+
download_size: 2333082954
|
141 |
+
dataset_size: 90174081
|
142 |
+
- config_name: arithmetic__add_or_sub_in_base
|
143 |
+
features:
|
144 |
+
- name: question
|
145 |
+
dtype: string
|
146 |
+
- name: answer
|
147 |
+
dtype: string
|
148 |
+
splits:
|
149 |
+
- name: test
|
150 |
+
num_bytes: 502221
|
151 |
+
num_examples: 10000
|
152 |
+
- name: train
|
153 |
+
num_bytes: 93779137
|
154 |
+
num_examples: 1999998
|
155 |
+
download_size: 2333082954
|
156 |
+
dataset_size: 94281358
|
157 |
+
- config_name: arithmetic__add_sub_multiple
|
158 |
+
features:
|
159 |
+
- name: question
|
160 |
+
dtype: string
|
161 |
+
- name: answer
|
162 |
+
dtype: string
|
163 |
+
splits:
|
164 |
+
- name: test
|
165 |
+
num_bytes: 498421
|
166 |
+
num_examples: 10000
|
167 |
+
- name: train
|
168 |
+
num_bytes: 90962782
|
169 |
+
num_examples: 1999998
|
170 |
+
download_size: 2333082954
|
171 |
+
dataset_size: 91461203
|
172 |
+
- config_name: arithmetic__div
|
173 |
+
features:
|
174 |
+
- name: question
|
175 |
+
dtype: string
|
176 |
+
- name: answer
|
177 |
+
dtype: string
|
178 |
+
splits:
|
179 |
+
- name: test
|
180 |
+
num_bytes: 421520
|
181 |
+
num_examples: 10000
|
182 |
+
- name: train
|
183 |
+
num_bytes: 78417908
|
184 |
+
num_examples: 1999998
|
185 |
+
download_size: 2333082954
|
186 |
+
dataset_size: 78839428
|
187 |
+
- config_name: arithmetic__mixed
|
188 |
+
features:
|
189 |
+
- name: question
|
190 |
+
dtype: string
|
191 |
+
- name: answer
|
192 |
+
dtype: string
|
193 |
+
splits:
|
194 |
+
- name: test
|
195 |
+
num_bytes: 513364
|
196 |
+
num_examples: 10000
|
197 |
+
- name: train
|
198 |
+
num_bytes: 93989009
|
199 |
+
num_examples: 1999998
|
200 |
+
download_size: 2333082954
|
201 |
+
dataset_size: 94502373
|
202 |
+
- config_name: arithmetic__mul
|
203 |
+
features:
|
204 |
+
- name: question
|
205 |
+
dtype: string
|
206 |
+
- name: answer
|
207 |
+
dtype: string
|
208 |
+
splits:
|
209 |
+
- name: test
|
210 |
+
num_bytes: 394004
|
211 |
+
num_examples: 10000
|
212 |
+
- name: train
|
213 |
+
num_bytes: 73499093
|
214 |
+
num_examples: 1999998
|
215 |
+
download_size: 2333082954
|
216 |
+
dataset_size: 73893097
|
217 |
+
- config_name: arithmetic__mul_div_multiple
|
218 |
+
features:
|
219 |
+
- name: question
|
220 |
+
dtype: string
|
221 |
+
- name: answer
|
222 |
+
dtype: string
|
223 |
+
splits:
|
224 |
+
- name: test
|
225 |
+
num_bytes: 497308
|
226 |
+
num_examples: 10000
|
227 |
+
- name: train
|
228 |
+
num_bytes: 91406689
|
229 |
+
num_examples: 1999998
|
230 |
+
download_size: 2333082954
|
231 |
+
dataset_size: 91903997
|
232 |
+
- config_name: arithmetic__nearest_integer_root
|
233 |
+
features:
|
234 |
+
- name: question
|
235 |
+
dtype: string
|
236 |
+
- name: answer
|
237 |
+
dtype: string
|
238 |
+
splits:
|
239 |
+
- name: test
|
240 |
+
num_bytes: 705630
|
241 |
+
num_examples: 10000
|
242 |
+
- name: train
|
243 |
+
num_bytes: 137771237
|
244 |
+
num_examples: 1999998
|
245 |
+
download_size: 2333082954
|
246 |
+
dataset_size: 138476867
|
247 |
+
- config_name: arithmetic__simplify_surd
|
248 |
+
features:
|
249 |
+
- name: question
|
250 |
+
dtype: string
|
251 |
+
- name: answer
|
252 |
+
dtype: string
|
253 |
+
splits:
|
254 |
+
- name: test
|
255 |
+
num_bytes: 1261753
|
256 |
+
num_examples: 10000
|
257 |
+
- name: train
|
258 |
+
num_bytes: 207753790
|
259 |
+
num_examples: 1999998
|
260 |
+
download_size: 2333082954
|
261 |
+
dataset_size: 209015543
|
262 |
+
- config_name: calculus__differentiate
|
263 |
+
features:
|
264 |
+
- name: question
|
265 |
+
dtype: string
|
266 |
+
- name: answer
|
267 |
+
dtype: string
|
268 |
+
splits:
|
269 |
+
- name: test
|
270 |
+
num_bytes: 1025947
|
271 |
+
num_examples: 10000
|
272 |
+
- name: train
|
273 |
+
num_bytes: 199013993
|
274 |
+
num_examples: 1999998
|
275 |
+
download_size: 2333082954
|
276 |
+
dataset_size: 200039940
|
277 |
+
- config_name: calculus__differentiate_composed
|
278 |
+
features:
|
279 |
+
- name: question
|
280 |
+
dtype: string
|
281 |
+
- name: answer
|
282 |
+
dtype: string
|
283 |
+
splits:
|
284 |
+
- name: test
|
285 |
+
num_bytes: 1343416
|
286 |
+
num_examples: 10000
|
287 |
+
- name: train
|
288 |
+
num_bytes: 263757570
|
289 |
+
num_examples: 1999998
|
290 |
+
download_size: 2333082954
|
291 |
+
dataset_size: 265100986
|
292 |
+
- config_name: comparison__closest
|
293 |
+
features:
|
294 |
+
- name: question
|
295 |
+
dtype: string
|
296 |
+
- name: answer
|
297 |
+
dtype: string
|
298 |
+
splits:
|
299 |
+
- name: test
|
300 |
+
num_bytes: 681229
|
301 |
+
num_examples: 10000
|
302 |
+
- name: train
|
303 |
+
num_bytes: 132274822
|
304 |
+
num_examples: 1999998
|
305 |
+
download_size: 2333082954
|
306 |
+
dataset_size: 132956051
|
307 |
+
- config_name: comparison__closest_composed
|
308 |
+
features:
|
309 |
+
- name: question
|
310 |
+
dtype: string
|
311 |
+
- name: answer
|
312 |
+
dtype: string
|
313 |
+
splits:
|
314 |
+
- name: test
|
315 |
+
num_bytes: 1071089
|
316 |
+
num_examples: 10000
|
317 |
+
- name: train
|
318 |
+
num_bytes: 210658152
|
319 |
+
num_examples: 1999998
|
320 |
+
download_size: 2333082954
|
321 |
+
dataset_size: 211729241
|
322 |
+
- config_name: comparison__kth_biggest
|
323 |
+
features:
|
324 |
+
- name: question
|
325 |
+
dtype: string
|
326 |
+
- name: answer
|
327 |
+
dtype: string
|
328 |
+
splits:
|
329 |
+
- name: test
|
330 |
+
num_bytes: 797185
|
331 |
+
num_examples: 10000
|
332 |
+
- name: train
|
333 |
+
num_bytes: 149077463
|
334 |
+
num_examples: 1999998
|
335 |
+
download_size: 2333082954
|
336 |
+
dataset_size: 149874648
|
337 |
+
- config_name: comparison__kth_biggest_composed
|
338 |
+
features:
|
339 |
+
- name: question
|
340 |
+
dtype: string
|
341 |
+
- name: answer
|
342 |
+
dtype: string
|
343 |
+
splits:
|
344 |
+
- name: test
|
345 |
+
num_bytes: 1144556
|
346 |
+
num_examples: 10000
|
347 |
+
- name: train
|
348 |
+
num_bytes: 221547532
|
349 |
+
num_examples: 1999998
|
350 |
+
download_size: 2333082954
|
351 |
+
dataset_size: 222692088
|
352 |
+
- config_name: comparison__pair
|
353 |
+
features:
|
354 |
+
- name: question
|
355 |
+
dtype: string
|
356 |
+
- name: answer
|
357 |
+
dtype: string
|
358 |
+
splits:
|
359 |
+
- name: test
|
360 |
+
num_bytes: 452528
|
361 |
+
num_examples: 10000
|
362 |
+
- name: train
|
363 |
+
num_bytes: 85707543
|
364 |
+
num_examples: 1999998
|
365 |
+
download_size: 2333082954
|
366 |
+
dataset_size: 86160071
|
367 |
+
- config_name: comparison__pair_composed
|
368 |
+
features:
|
369 |
+
- name: question
|
370 |
+
dtype: string
|
371 |
+
- name: answer
|
372 |
+
dtype: string
|
373 |
+
splits:
|
374 |
+
- name: test
|
375 |
+
num_bytes: 946187
|
376 |
+
num_examples: 10000
|
377 |
+
- name: train
|
378 |
+
num_bytes: 184702998
|
379 |
+
num_examples: 1999998
|
380 |
+
download_size: 2333082954
|
381 |
+
dataset_size: 185649185
|
382 |
+
- config_name: comparison__sort
|
383 |
+
features:
|
384 |
+
- name: question
|
385 |
+
dtype: string
|
386 |
+
- name: answer
|
387 |
+
dtype: string
|
388 |
+
splits:
|
389 |
+
- name: test
|
390 |
+
num_bytes: 712498
|
391 |
+
num_examples: 10000
|
392 |
+
- name: train
|
393 |
+
num_bytes: 131752705
|
394 |
+
num_examples: 1999998
|
395 |
+
download_size: 2333082954
|
396 |
+
dataset_size: 132465203
|
397 |
+
- config_name: comparison__sort_composed
|
398 |
+
features:
|
399 |
+
- name: question
|
400 |
+
dtype: string
|
401 |
+
- name: answer
|
402 |
+
dtype: string
|
403 |
+
splits:
|
404 |
+
- name: test
|
405 |
+
num_bytes: 1114257
|
406 |
+
num_examples: 10000
|
407 |
+
- name: train
|
408 |
+
num_bytes: 213871896
|
409 |
+
num_examples: 1999998
|
410 |
+
download_size: 2333082954
|
411 |
+
dataset_size: 214986153
|
412 |
+
- config_name: measurement__conversion
|
413 |
+
features:
|
414 |
+
- name: question
|
415 |
+
dtype: string
|
416 |
+
- name: answer
|
417 |
+
dtype: string
|
418 |
+
splits:
|
419 |
+
- name: test
|
420 |
+
num_bytes: 592904
|
421 |
+
num_examples: 10000
|
422 |
+
- name: train
|
423 |
+
num_bytes: 118650852
|
424 |
+
num_examples: 1999998
|
425 |
+
download_size: 2333082954
|
426 |
+
dataset_size: 119243756
|
427 |
+
- config_name: measurement__time
|
428 |
+
features:
|
429 |
+
- name: question
|
430 |
+
dtype: string
|
431 |
+
- name: answer
|
432 |
+
dtype: string
|
433 |
+
splits:
|
434 |
+
- name: test
|
435 |
+
num_bytes: 584278
|
436 |
+
num_examples: 10000
|
437 |
+
- name: train
|
438 |
+
num_bytes: 116962599
|
439 |
+
num_examples: 1999998
|
440 |
+
download_size: 2333082954
|
441 |
+
dataset_size: 117546877
|
442 |
+
- config_name: numbers__base_conversion
|
443 |
+
features:
|
444 |
+
- name: question
|
445 |
+
dtype: string
|
446 |
+
- name: answer
|
447 |
+
dtype: string
|
448 |
+
splits:
|
449 |
+
- name: test
|
450 |
+
num_bytes: 490881
|
451 |
+
num_examples: 10000
|
452 |
+
- name: train
|
453 |
+
num_bytes: 90363333
|
454 |
+
num_examples: 1999998
|
455 |
+
download_size: 2333082954
|
456 |
+
dataset_size: 90854214
|
457 |
+
- config_name: numbers__div_remainder
|
458 |
+
features:
|
459 |
+
- name: question
|
460 |
+
dtype: string
|
461 |
+
- name: answer
|
462 |
+
dtype: string
|
463 |
+
splits:
|
464 |
+
- name: test
|
465 |
+
num_bytes: 644523
|
466 |
+
num_examples: 10000
|
467 |
+
- name: train
|
468 |
+
num_bytes: 125046212
|
469 |
+
num_examples: 1999998
|
470 |
+
download_size: 2333082954
|
471 |
+
dataset_size: 125690735
|
472 |
+
- config_name: numbers__div_remainder_composed
|
473 |
+
features:
|
474 |
+
- name: question
|
475 |
+
dtype: string
|
476 |
+
- name: answer
|
477 |
+
dtype: string
|
478 |
+
splits:
|
479 |
+
- name: test
|
480 |
+
num_bytes: 1151347
|
481 |
+
num_examples: 10000
|
482 |
+
- name: train
|
483 |
+
num_bytes: 226341870
|
484 |
+
num_examples: 1999998
|
485 |
+
download_size: 2333082954
|
486 |
+
dataset_size: 227493217
|
487 |
+
- config_name: numbers__gcd
|
488 |
+
features:
|
489 |
+
- name: question
|
490 |
+
dtype: string
|
491 |
+
- name: answer
|
492 |
+
dtype: string
|
493 |
+
splits:
|
494 |
+
- name: test
|
495 |
+
num_bytes: 659492
|
496 |
+
num_examples: 10000
|
497 |
+
- name: train
|
498 |
+
num_bytes: 127914889
|
499 |
+
num_examples: 1999998
|
500 |
+
download_size: 2333082954
|
501 |
+
dataset_size: 128574381
|
502 |
+
- config_name: numbers__gcd_composed
|
503 |
+
features:
|
504 |
+
- name: question
|
505 |
+
dtype: string
|
506 |
+
- name: answer
|
507 |
+
dtype: string
|
508 |
+
splits:
|
509 |
+
- name: test
|
510 |
+
num_bytes: 1206805
|
511 |
+
num_examples: 10000
|
512 |
+
- name: train
|
513 |
+
num_bytes: 237534189
|
514 |
+
num_examples: 1999998
|
515 |
+
download_size: 2333082954
|
516 |
+
dataset_size: 238740994
|
517 |
+
- config_name: numbers__is_factor
|
518 |
+
features:
|
519 |
+
- name: question
|
520 |
+
dtype: string
|
521 |
+
- name: answer
|
522 |
+
dtype: string
|
523 |
+
splits:
|
524 |
+
- name: test
|
525 |
+
num_bytes: 396129
|
526 |
+
num_examples: 10000
|
527 |
+
- name: train
|
528 |
+
num_bytes: 75875988
|
529 |
+
num_examples: 1999998
|
530 |
+
download_size: 2333082954
|
531 |
+
dataset_size: 76272117
|
532 |
+
- config_name: numbers__is_factor_composed
|
533 |
+
features:
|
534 |
+
- name: question
|
535 |
+
dtype: string
|
536 |
+
- name: answer
|
537 |
+
dtype: string
|
538 |
+
splits:
|
539 |
+
- name: test
|
540 |
+
num_bytes: 949828
|
541 |
+
num_examples: 10000
|
542 |
+
- name: train
|
543 |
+
num_bytes: 185369842
|
544 |
+
num_examples: 1999998
|
545 |
+
download_size: 2333082954
|
546 |
+
dataset_size: 186319670
|
547 |
+
- config_name: numbers__is_prime
|
548 |
+
features:
|
549 |
+
- name: question
|
550 |
+
dtype: string
|
551 |
+
- name: answer
|
552 |
+
dtype: string
|
553 |
+
splits:
|
554 |
+
- name: test
|
555 |
+
num_bytes: 385749
|
556 |
+
num_examples: 10000
|
557 |
+
- name: train
|
558 |
+
num_bytes: 73983639
|
559 |
+
num_examples: 1999998
|
560 |
+
download_size: 2333082954
|
561 |
+
dataset_size: 74369388
|
562 |
+
- config_name: numbers__is_prime_composed
|
563 |
+
features:
|
564 |
+
- name: question
|
565 |
+
dtype: string
|
566 |
+
- name: answer
|
567 |
+
dtype: string
|
568 |
+
splits:
|
569 |
+
- name: test
|
570 |
+
num_bytes: 947888
|
571 |
+
num_examples: 10000
|
572 |
+
- name: train
|
573 |
+
num_bytes: 184808483
|
574 |
+
num_examples: 1999998
|
575 |
+
download_size: 2333082954
|
576 |
+
dataset_size: 185756371
|
577 |
+
- config_name: numbers__lcm
|
578 |
+
features:
|
579 |
+
- name: question
|
580 |
+
dtype: string
|
581 |
+
- name: answer
|
582 |
+
dtype: string
|
583 |
+
splits:
|
584 |
+
- name: test
|
585 |
+
num_bytes: 717978
|
586 |
+
num_examples: 10000
|
587 |
+
- name: train
|
588 |
+
num_bytes: 136826050
|
589 |
+
num_examples: 1999998
|
590 |
+
download_size: 2333082954
|
591 |
+
dataset_size: 137544028
|
592 |
+
- config_name: numbers__lcm_composed
|
593 |
+
features:
|
594 |
+
- name: question
|
595 |
+
dtype: string
|
596 |
+
- name: answer
|
597 |
+
dtype: string
|
598 |
+
splits:
|
599 |
+
- name: test
|
600 |
+
num_bytes: 1127744
|
601 |
+
num_examples: 10000
|
602 |
+
- name: train
|
603 |
+
num_bytes: 221148668
|
604 |
+
num_examples: 1999998
|
605 |
+
download_size: 2333082954
|
606 |
+
dataset_size: 222276412
|
607 |
+
- config_name: numbers__list_prime_factors
|
608 |
+
features:
|
609 |
+
- name: question
|
610 |
+
dtype: string
|
611 |
+
- name: answer
|
612 |
+
dtype: string
|
613 |
+
splits:
|
614 |
+
- name: test
|
615 |
+
num_bytes: 585749
|
616 |
+
num_examples: 10000
|
617 |
+
- name: train
|
618 |
+
num_bytes: 109982816
|
619 |
+
num_examples: 1999998
|
620 |
+
download_size: 2333082954
|
621 |
+
dataset_size: 110568565
|
622 |
+
- config_name: numbers__list_prime_factors_composed
|
623 |
+
features:
|
624 |
+
- name: question
|
625 |
+
dtype: string
|
626 |
+
- name: answer
|
627 |
+
dtype: string
|
628 |
+
splits:
|
629 |
+
- name: test
|
630 |
+
num_bytes: 1053510
|
631 |
+
num_examples: 10000
|
632 |
+
- name: train
|
633 |
+
num_bytes: 205379513
|
634 |
+
num_examples: 1999998
|
635 |
+
download_size: 2333082954
|
636 |
+
dataset_size: 206433023
|
637 |
+
- config_name: numbers__place_value
|
638 |
+
features:
|
639 |
+
- name: question
|
640 |
+
dtype: string
|
641 |
+
- name: answer
|
642 |
+
dtype: string
|
643 |
+
splits:
|
644 |
+
- name: test
|
645 |
+
num_bytes: 496977
|
646 |
+
num_examples: 10000
|
647 |
+
- name: train
|
648 |
+
num_bytes: 95180091
|
649 |
+
num_examples: 1999998
|
650 |
+
download_size: 2333082954
|
651 |
+
dataset_size: 95677068
|
652 |
+
- config_name: numbers__place_value_composed
|
653 |
+
features:
|
654 |
+
- name: question
|
655 |
+
dtype: string
|
656 |
+
- name: answer
|
657 |
+
dtype: string
|
658 |
+
splits:
|
659 |
+
- name: test
|
660 |
+
num_bytes: 1011130
|
661 |
+
num_examples: 10000
|
662 |
+
- name: train
|
663 |
+
num_bytes: 197187918
|
664 |
+
num_examples: 1999998
|
665 |
+
download_size: 2333082954
|
666 |
+
dataset_size: 198199048
|
667 |
+
- config_name: numbers__round_number
|
668 |
+
features:
|
669 |
+
- name: question
|
670 |
+
dtype: string
|
671 |
+
- name: answer
|
672 |
+
dtype: string
|
673 |
+
splits:
|
674 |
+
- name: test
|
675 |
+
num_bytes: 570636
|
676 |
+
num_examples: 10000
|
677 |
+
- name: train
|
678 |
+
num_bytes: 111472483
|
679 |
+
num_examples: 1999998
|
680 |
+
download_size: 2333082954
|
681 |
+
dataset_size: 112043119
|
682 |
+
- config_name: numbers__round_number_composed
|
683 |
+
features:
|
684 |
+
- name: question
|
685 |
+
dtype: string
|
686 |
+
- name: answer
|
687 |
+
dtype: string
|
688 |
+
splits:
|
689 |
+
- name: test
|
690 |
+
num_bytes: 1016754
|
691 |
+
num_examples: 10000
|
692 |
+
- name: train
|
693 |
+
num_bytes: 201057283
|
694 |
+
num_examples: 1999998
|
695 |
+
download_size: 2333082954
|
696 |
+
dataset_size: 202074037
|
697 |
+
- config_name: polynomials__add
|
698 |
+
features:
|
699 |
+
- name: question
|
700 |
+
dtype: string
|
701 |
+
- name: answer
|
702 |
+
dtype: string
|
703 |
+
splits:
|
704 |
+
- name: test
|
705 |
+
num_bytes: 1308455
|
706 |
+
num_examples: 10000
|
707 |
+
- name: train
|
708 |
+
num_bytes: 257576092
|
709 |
+
num_examples: 1999998
|
710 |
+
download_size: 2333082954
|
711 |
+
dataset_size: 258884547
|
712 |
+
- config_name: polynomials__coefficient_named
|
713 |
+
features:
|
714 |
+
- name: question
|
715 |
+
dtype: string
|
716 |
+
- name: answer
|
717 |
+
dtype: string
|
718 |
+
splits:
|
719 |
+
- name: test
|
720 |
+
num_bytes: 1137226
|
721 |
+
num_examples: 10000
|
722 |
+
- name: train
|
723 |
+
num_bytes: 219716251
|
724 |
+
num_examples: 1999998
|
725 |
+
download_size: 2333082954
|
726 |
+
dataset_size: 220853477
|
727 |
+
- config_name: polynomials__collect
|
728 |
+
features:
|
729 |
+
- name: question
|
730 |
+
dtype: string
|
731 |
+
- name: answer
|
732 |
+
dtype: string
|
733 |
+
splits:
|
734 |
+
- name: test
|
735 |
+
num_bytes: 774709
|
736 |
+
num_examples: 10000
|
737 |
+
- name: train
|
738 |
+
num_bytes: 143743260
|
739 |
+
num_examples: 1999998
|
740 |
+
download_size: 2333082954
|
741 |
+
dataset_size: 144517969
|
742 |
+
- config_name: polynomials__compose
|
743 |
+
features:
|
744 |
+
- name: question
|
745 |
+
dtype: string
|
746 |
+
- name: answer
|
747 |
+
dtype: string
|
748 |
+
splits:
|
749 |
+
- name: test
|
750 |
+
num_bytes: 1209763
|
751 |
+
num_examples: 10000
|
752 |
+
- name: train
|
753 |
+
num_bytes: 233651887
|
754 |
+
num_examples: 1999998
|
755 |
+
download_size: 2333082954
|
756 |
+
dataset_size: 234861650
|
757 |
+
- config_name: polynomials__evaluate
|
758 |
+
features:
|
759 |
+
- name: question
|
760 |
+
dtype: string
|
761 |
+
- name: answer
|
762 |
+
dtype: string
|
763 |
+
splits:
|
764 |
+
- name: test
|
765 |
+
num_bytes: 599446
|
766 |
+
num_examples: 10000
|
767 |
+
- name: train
|
768 |
+
num_bytes: 114538250
|
769 |
+
num_examples: 1999998
|
770 |
+
download_size: 2333082954
|
771 |
+
dataset_size: 115137696
|
772 |
+
- config_name: polynomials__evaluate_composed
|
773 |
+
features:
|
774 |
+
- name: question
|
775 |
+
dtype: string
|
776 |
+
- name: answer
|
777 |
+
dtype: string
|
778 |
+
splits:
|
779 |
+
- name: test
|
780 |
+
num_bytes: 1148362
|
781 |
+
num_examples: 10000
|
782 |
+
- name: train
|
783 |
+
num_bytes: 226022455
|
784 |
+
num_examples: 1999998
|
785 |
+
download_size: 2333082954
|
786 |
+
dataset_size: 227170817
|
787 |
+
- config_name: polynomials__expand
|
788 |
+
features:
|
789 |
+
- name: question
|
790 |
+
dtype: string
|
791 |
+
- name: answer
|
792 |
+
dtype: string
|
793 |
+
splits:
|
794 |
+
- name: test
|
795 |
+
num_bytes: 1057353
|
796 |
+
num_examples: 10000
|
797 |
+
- name: train
|
798 |
+
num_bytes: 202338235
|
799 |
+
num_examples: 1999998
|
800 |
+
download_size: 2333082954
|
801 |
+
dataset_size: 203395588
|
802 |
+
- config_name: polynomials__simplify_power
|
803 |
+
features:
|
804 |
+
- name: question
|
805 |
+
dtype: string
|
806 |
+
- name: answer
|
807 |
+
dtype: string
|
808 |
+
splits:
|
809 |
+
- name: test
|
810 |
+
num_bytes: 1248040
|
811 |
+
num_examples: 10000
|
812 |
+
- name: train
|
813 |
+
num_bytes: 216407582
|
814 |
+
num_examples: 1999998
|
815 |
+
download_size: 2333082954
|
816 |
+
dataset_size: 217655622
|
817 |
+
- config_name: probability__swr_p_level_set
|
818 |
+
features:
|
819 |
+
- name: question
|
820 |
+
dtype: string
|
821 |
+
- name: answer
|
822 |
+
dtype: string
|
823 |
+
splits:
|
824 |
+
- name: test
|
825 |
+
num_bytes: 1159050
|
826 |
+
num_examples: 10000
|
827 |
+
- name: train
|
828 |
+
num_bytes: 227540179
|
829 |
+
num_examples: 1999998
|
830 |
+
download_size: 2333082954
|
831 |
+
dataset_size: 228699229
|
832 |
+
- config_name: probability__swr_p_sequence
|
833 |
+
features:
|
834 |
+
- name: question
|
835 |
+
dtype: string
|
836 |
+
- name: answer
|
837 |
+
dtype: string
|
838 |
+
splits:
|
839 |
+
- name: test
|
840 |
+
num_bytes: 1097442
|
841 |
+
num_examples: 10000
|
842 |
+
- name: train
|
843 |
+
num_bytes: 215865725
|
844 |
+
num_examples: 1999998
|
845 |
+
download_size: 2333082954
|
846 |
+
dataset_size: 216963167
|
847 |
+
---
|
848 |
+
|
849 |
+
# Dataset Card for "math_dataset"
|
850 |
+
|
851 |
+
## Table of Contents
|
852 |
+
- [Dataset Description](#dataset-description)
|
853 |
+
- [Dataset Summary](#dataset-summary)
|
854 |
+
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
|
855 |
+
- [Languages](#languages)
|
856 |
+
- [Dataset Structure](#dataset-structure)
|
857 |
+
- [Data Instances](#data-instances)
|
858 |
+
- [Data Fields](#data-fields)
|
859 |
+
- [Data Splits](#data-splits)
|
860 |
+
- [Dataset Creation](#dataset-creation)
|
861 |
+
- [Curation Rationale](#curation-rationale)
|
862 |
+
- [Source Data](#source-data)
|
863 |
+
- [Annotations](#annotations)
|
864 |
+
- [Personal and Sensitive Information](#personal-and-sensitive-information)
|
865 |
+
- [Considerations for Using the Data](#considerations-for-using-the-data)
|
866 |
+
- [Social Impact of Dataset](#social-impact-of-dataset)
|
867 |
+
- [Discussion of Biases](#discussion-of-biases)
|
868 |
+
- [Other Known Limitations](#other-known-limitations)
|
869 |
+
- [Additional Information](#additional-information)
|
870 |
+
- [Dataset Curators](#dataset-curators)
|
871 |
+
- [Licensing Information](#licensing-information)
|
872 |
+
- [Citation Information](#citation-information)
|
873 |
+
- [Contributions](#contributions)
|
874 |
+
|
875 |
+
## Dataset Description
|
876 |
+
|
877 |
+
- **Homepage:** [https://github.com/deepmind/mathematics_dataset](https://github.com/deepmind/mathematics_dataset)
|
878 |
+
- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
879 |
+
- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
880 |
+
- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
881 |
+
- **Size of downloaded dataset files:** 130.65 GB
|
882 |
+
- **Size of the generated dataset:** 9.08 GB
|
883 |
+
- **Total amount of disk used:** 139.73 GB
|
884 |
+
|
885 |
+
### Dataset Summary
|
886 |
+
|
887 |
+
Mathematics database.
|
888 |
+
|
889 |
+
This dataset code generates mathematical question and answer pairs,
|
890 |
+
from a range of question types at roughly school-level difficulty.
|
891 |
+
This is designed to test the mathematical learning and algebraic
|
892 |
+
reasoning skills of learning models.
|
893 |
+
|
894 |
+
Original paper: Analysing Mathematical Reasoning Abilities of Neural Models
|
895 |
+
(Saxton, Grefenstette, Hill, Kohli).
|
896 |
+
|
897 |
+
Example usage:
|
898 |
+
train_examples, val_examples = datasets.load_dataset(
|
899 |
+
'math_dataset/arithmetic__mul',
|
900 |
+
split=['train', 'test'],
|
901 |
+
as_supervised=True)
|
902 |
+
|
903 |
+
### Supported Tasks and Leaderboards
|
904 |
+
|
905 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
906 |
+
|
907 |
+
### Languages
|
908 |
+
|
909 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
910 |
+
|
911 |
+
## Dataset Structure
|
912 |
+
|
913 |
+
### Data Instances
|
914 |
+
|
915 |
+
#### algebra__linear_1d
|
916 |
+
|
917 |
+
- **Size of downloaded dataset files:** 2.33 GB
|
918 |
+
- **Size of the generated dataset:** 92.60 MB
|
919 |
+
- **Total amount of disk used:** 2.43 GB
|
920 |
+
|
921 |
+
An example of 'train' looks as follows.
|
922 |
+
```
|
923 |
+
|
924 |
+
```
|
925 |
+
|
926 |
+
#### algebra__linear_1d_composed
|
927 |
+
|
928 |
+
- **Size of downloaded dataset files:** 2.33 GB
|
929 |
+
- **Size of the generated dataset:** 200.58 MB
|
930 |
+
- **Total amount of disk used:** 2.53 GB
|
931 |
+
|
932 |
+
An example of 'train' looks as follows.
|
933 |
+
```
|
934 |
+
|
935 |
+
```
|
936 |
+
|
937 |
+
#### algebra__linear_2d
|
938 |
+
|
939 |
+
- **Size of downloaded dataset files:** 2.33 GB
|
940 |
+
- **Size of the generated dataset:** 127.41 MB
|
941 |
+
- **Total amount of disk used:** 2.46 GB
|
942 |
+
|
943 |
+
An example of 'train' looks as follows.
|
944 |
+
```
|
945 |
+
|
946 |
+
```
|
947 |
+
|
948 |
+
#### algebra__linear_2d_composed
|
949 |
+
|
950 |
+
- **Size of downloaded dataset files:** 2.33 GB
|
951 |
+
- **Size of the generated dataset:** 235.59 MB
|
952 |
+
- **Total amount of disk used:** 2.57 GB
|
953 |
+
|
954 |
+
An example of 'train' looks as follows.
|
955 |
+
```
|
956 |
+
|
957 |
+
```
|
958 |
+
|
959 |
+
#### algebra__polynomial_roots
|
960 |
+
|
961 |
+
- **Size of downloaded dataset files:** 2.33 GB
|
962 |
+
- **Size of the generated dataset:** 164.01 MB
|
963 |
+
- **Total amount of disk used:** 2.50 GB
|
964 |
+
|
965 |
+
An example of 'train' looks as follows.
|
966 |
+
```
|
967 |
+
|
968 |
+
```
|
969 |
+
|
970 |
+
### Data Fields
|
971 |
+
|
972 |
+
The data fields are the same among all splits.
|
973 |
+
|
974 |
+
#### algebra__linear_1d
|
975 |
+
- `question`: a `string` feature.
|
976 |
+
- `answer`: a `string` feature.
|
977 |
+
|
978 |
+
#### algebra__linear_1d_composed
|
979 |
+
- `question`: a `string` feature.
|
980 |
+
- `answer`: a `string` feature.
|
981 |
+
|
982 |
+
#### algebra__linear_2d
|
983 |
+
- `question`: a `string` feature.
|
984 |
+
- `answer`: a `string` feature.
|
985 |
+
|
986 |
+
#### algebra__linear_2d_composed
|
987 |
+
- `question`: a `string` feature.
|
988 |
+
- `answer`: a `string` feature.
|
989 |
+
|
990 |
+
#### algebra__polynomial_roots
|
991 |
+
- `question`: a `string` feature.
|
992 |
+
- `answer`: a `string` feature.
|
993 |
+
|
994 |
+
### Data Splits
|
995 |
+
|
996 |
+
| name | train |test |
|
997 |
+
|---------------------------|------:|----:|
|
998 |
+
|algebra__linear_1d |1999998|10000|
|
999 |
+
|algebra__linear_1d_composed|1999998|10000|
|
1000 |
+
|algebra__linear_2d |1999998|10000|
|
1001 |
+
|algebra__linear_2d_composed|1999998|10000|
|
1002 |
+
|algebra__polynomial_roots |1999998|10000|
|
1003 |
+
|
1004 |
+
## Dataset Creation
|
1005 |
+
|
1006 |
+
### Curation Rationale
|
1007 |
+
|
1008 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
1009 |
+
|
1010 |
+
### Source Data
|
1011 |
+
|
1012 |
+
#### Initial Data Collection and Normalization
|
1013 |
+
|
1014 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
1015 |
+
|
1016 |
+
#### Who are the source language producers?
|
1017 |
+
|
1018 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
1019 |
+
|
1020 |
+
### Annotations
|
1021 |
+
|
1022 |
+
#### Annotation process
|
1023 |
+
|
1024 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
1025 |
+
|
1026 |
+
#### Who are the annotators?
|
1027 |
+
|
1028 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
1029 |
+
|
1030 |
+
### Personal and Sensitive Information
|
1031 |
+
|
1032 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
1033 |
+
|
1034 |
+
## Considerations for Using the Data
|
1035 |
+
|
1036 |
+
### Social Impact of Dataset
|
1037 |
+
|
1038 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
1039 |
+
|
1040 |
+
### Discussion of Biases
|
1041 |
+
|
1042 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
1043 |
+
|
1044 |
+
### Other Known Limitations
|
1045 |
+
|
1046 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
1047 |
+
|
1048 |
+
## Additional Information
|
1049 |
+
|
1050 |
+
### Dataset Curators
|
1051 |
+
|
1052 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
1053 |
+
|
1054 |
+
### Licensing Information
|
1055 |
+
|
1056 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
1057 |
+
|
1058 |
+
### Citation Information
|
1059 |
+
|
1060 |
+
```
|
1061 |
+
|
1062 |
+
@article{2019arXiv,
|
1063 |
+
author = {Saxton, Grefenstette, Hill, Kohli},
|
1064 |
+
title = {Analysing Mathematical Reasoning Abilities of Neural Models},
|
1065 |
+
year = {2019},
|
1066 |
+
journal = {arXiv:1904.01557}
|
1067 |
+
}
|
1068 |
+
|
1069 |
+
```
|
1070 |
+
|
1071 |
+
|
1072 |
+
### Contributions
|
1073 |
+
|
1074 |
+
Thanks to [@patrickvonplaten](https://github.com/patrickvonplaten), [@lewtun](https://github.com/lewtun), [@thomwolf](https://github.com/thomwolf) for adding this dataset.
|