Update README.md
Browse files
README.md
CHANGED
|
@@ -438,10 +438,10 @@ dataset_info:
|
|
| 438 |
dtype: int64
|
| 439 |
splits:
|
| 440 |
- name: train
|
| 441 |
-
num_bytes: 17908210462
|
| 442 |
num_examples: 500000
|
| 443 |
download_size: 17714786653
|
| 444 |
-
dataset_size: 17908210462
|
| 445 |
- config_name: SynthCodeNet
|
| 446 |
features:
|
| 447 |
- name: images
|
|
@@ -846,10 +846,10 @@ dataset_info:
|
|
| 846 |
dtype: int64
|
| 847 |
splits:
|
| 848 |
- name: train
|
| 849 |
-
num_bytes: 81923895225
|
| 850 |
num_examples: 100000
|
| 851 |
download_size: 81811622698
|
| 852 |
-
dataset_size: 81923895225
|
| 853 |
- config_name: bentham
|
| 854 |
features:
|
| 855 |
- name: images
|
|
@@ -914,10 +914,10 @@ dataset_info:
|
|
| 914 |
dtype: int64
|
| 915 |
splits:
|
| 916 |
- name: train
|
| 917 |
-
num_bytes: 28792412
|
| 918 |
num_examples: 502
|
| 919 |
download_size: 28553870
|
| 920 |
-
dataset_size: 28792412
|
| 921 |
- config_name: blockdiagramhandwritten
|
| 922 |
features:
|
| 923 |
- name: images
|
|
@@ -1186,10 +1186,10 @@ dataset_info:
|
|
| 1186 |
dtype: int64
|
| 1187 |
splits:
|
| 1188 |
- name: train
|
| 1189 |
-
num_bytes: 10557164224
|
| 1190 |
num_examples: 70000
|
| 1191 |
download_size: 10465001066
|
| 1192 |
-
dataset_size: 10557164224
|
| 1193 |
- config_name: clevr_math
|
| 1194 |
features:
|
| 1195 |
- name: images
|
|
@@ -1220,10 +1220,10 @@ dataset_info:
|
|
| 1220 |
dtype: int64
|
| 1221 |
splits:
|
| 1222 |
- name: train
|
| 1223 |
-
num_bytes: 9394753178
|
| 1224 |
num_examples: 70000
|
| 1225 |
download_size: 9344480504
|
| 1226 |
-
dataset_size: 9394753178
|
| 1227 |
- config_name: clevr_math(mathv360k)
|
| 1228 |
features:
|
| 1229 |
- name: images
|
|
@@ -1526,10 +1526,10 @@ dataset_info:
|
|
| 1526 |
dtype: int64
|
| 1527 |
splits:
|
| 1528 |
- name: train
|
| 1529 |
-
num_bytes: 18704652
|
| 1530 |
num_examples: 300
|
| 1531 |
download_size: 18534456
|
| 1532 |
-
dataset_size: 18704652
|
| 1533 |
- config_name: docvqa
|
| 1534 |
features:
|
| 1535 |
- name: images
|
|
@@ -1628,10 +1628,10 @@ dataset_info:
|
|
| 1628 |
dtype: int64
|
| 1629 |
splits:
|
| 1630 |
- name: train
|
| 1631 |
-
num_bytes: 4581122677
|
| 1632 |
num_examples: 200000
|
| 1633 |
download_size: 4302544626
|
| 1634 |
-
dataset_size: 4581122677
|
| 1635 |
- config_name: est_vqa
|
| 1636 |
features:
|
| 1637 |
- name: images
|
|
@@ -1696,10 +1696,10 @@ dataset_info:
|
|
| 1696 |
dtype: int64
|
| 1697 |
splits:
|
| 1698 |
- name: train
|
| 1699 |
-
num_bytes: 15127430
|
| 1700 |
num_examples: 797
|
| 1701 |
download_size: 14983116
|
| 1702 |
-
dataset_size: 15127430
|
| 1703 |
- config_name: figureqa
|
| 1704 |
features:
|
| 1705 |
- name: images
|
|
@@ -1730,10 +1730,10 @@ dataset_info:
|
|
| 1730 |
dtype: int64
|
| 1731 |
splits:
|
| 1732 |
- name: train
|
| 1733 |
-
num_bytes: 2346521984
|
| 1734 |
num_examples: 100000
|
| 1735 |
download_size: 2222862886
|
| 1736 |
-
dataset_size: 2346521984
|
| 1737 |
- config_name: figureqa(mathv360k)
|
| 1738 |
features:
|
| 1739 |
- name: images
|
|
@@ -1832,10 +1832,10 @@ dataset_info:
|
|
| 1832 |
dtype: int64
|
| 1833 |
splits:
|
| 1834 |
- name: train
|
| 1835 |
-
num_bytes: 35306471
|
| 1836 |
num_examples: 194
|
| 1837 |
download_size: 35104326
|
| 1838 |
-
dataset_size: 35306471
|
| 1839 |
- config_name: geo170k(align)
|
| 1840 |
features:
|
| 1841 |
- name: images
|
|
@@ -2070,10 +2070,10 @@ dataset_info:
|
|
| 2070 |
dtype: int64
|
| 2071 |
splits:
|
| 2072 |
- name: train
|
| 2073 |
-
num_bytes: 3936551
|
| 2074 |
num_examples: 498
|
| 2075 |
download_size: 1613784
|
| 2076 |
-
dataset_size: 3936551
|
| 2077 |
- config_name: google_landmarks
|
| 2078 |
features:
|
| 2079 |
- name: images
|
|
@@ -2172,10 +2172,10 @@ dataset_info:
|
|
| 2172 |
dtype: int64
|
| 2173 |
splits:
|
| 2174 |
- name: train
|
| 2175 |
-
num_bytes: 168001610
|
| 2176 |
num_examples: 1400
|
| 2177 |
download_size: 164655119
|
| 2178 |
-
dataset_size: 168001610
|
| 2179 |
- config_name: hateful_memes
|
| 2180 |
features:
|
| 2181 |
- name: images
|
|
@@ -2240,10 +2240,10 @@ dataset_info:
|
|
| 2240 |
dtype: int64
|
| 2241 |
splits:
|
| 2242 |
- name: train
|
| 2243 |
-
num_bytes: 163934179
|
| 2244 |
num_examples: 2500
|
| 2245 |
download_size: 160422628
|
| 2246 |
-
dataset_size: 163934179
|
| 2247 |
- config_name: hme100k
|
| 2248 |
features:
|
| 2249 |
- name: images
|
|
@@ -2716,10 +2716,10 @@ dataset_info:
|
|
| 2716 |
dtype: int64
|
| 2717 |
splits:
|
| 2718 |
- name: train
|
| 2719 |
-
num_bytes: 25159455
|
| 2720 |
num_examples: 1280
|
| 2721 |
download_size: 24899065
|
| 2722 |
-
dataset_size: 25159455
|
| 2723 |
- config_name: invoices_receipts
|
| 2724 |
features:
|
| 2725 |
- name: images
|
|
@@ -3192,10 +3192,10 @@ dataset_info:
|
|
| 3192 |
dtype: int64
|
| 3193 |
splits:
|
| 3194 |
- name: train
|
| 3195 |
-
num_bytes: 1504185688
|
| 3196 |
num_examples: 200
|
| 3197 |
download_size: 1504165598
|
| 3198 |
-
dataset_size: 1504185688
|
| 3199 |
- config_name: mathwriting-google
|
| 3200 |
features:
|
| 3201 |
- name: images
|
|
@@ -3226,10 +3226,10 @@ dataset_info:
|
|
| 3226 |
dtype: int64
|
| 3227 |
splits:
|
| 3228 |
- name: train
|
| 3229 |
-
num_bytes: 12299849132
|
| 3230 |
num_examples: 300000
|
| 3231 |
download_size: 12219456415
|
| 3232 |
-
dataset_size: 12299849132
|
| 3233 |
- config_name: mavis_math_metagen
|
| 3234 |
features:
|
| 3235 |
- name: images
|
|
@@ -3804,10 +3804,10 @@ dataset_info:
|
|
| 3804 |
dtype: int64
|
| 3805 |
splits:
|
| 3806 |
- name: train
|
| 3807 |
-
num_bytes: 18649772240
|
| 3808 |
num_examples: 32632
|
| 3809 |
download_size: 18155570098
|
| 3810 |
-
dataset_size: 18649772240
|
| 3811 |
- config_name: pdfvqa
|
| 3812 |
features:
|
| 3813 |
- name: images
|
|
@@ -3940,10 +3940,10 @@ dataset_info:
|
|
| 3940 |
dtype: int64
|
| 3941 |
splits:
|
| 3942 |
- name: train
|
| 3943 |
-
num_bytes: 1734017137
|
| 3944 |
num_examples: 42000
|
| 3945 |
download_size: 1721095694
|
| 3946 |
-
dataset_size: 1734017137
|
| 3947 |
- config_name: rendered_text
|
| 3948 |
features:
|
| 3949 |
- name: images
|
|
@@ -3974,10 +3974,10 @@ dataset_info:
|
|
| 3974 |
dtype: int64
|
| 3975 |
splits:
|
| 3976 |
- name: train
|
| 3977 |
-
num_bytes: 11087697572
|
| 3978 |
num_examples: 10000
|
| 3979 |
download_size: 11087197372
|
| 3980 |
-
dataset_size: 11087697572
|
| 3981 |
- config_name: robut_sqa
|
| 3982 |
features:
|
| 3983 |
- name: images
|
|
@@ -4416,10 +4416,10 @@ dataset_info:
|
|
| 4416 |
dtype: int64
|
| 4417 |
splits:
|
| 4418 |
- name: train
|
| 4419 |
-
num_bytes: 462161568
|
| 4420 |
num_examples: 8000
|
| 4421 |
download_size: 454872096
|
| 4422 |
-
dataset_size: 462161568
|
| 4423 |
- config_name: slidevqa
|
| 4424 |
features:
|
| 4425 |
- name: images
|
|
@@ -4756,10 +4756,10 @@ dataset_info:
|
|
| 4756 |
dtype: int64
|
| 4757 |
splits:
|
| 4758 |
- name: train
|
| 4759 |
-
num_bytes: 312184613844
|
| 4760 |
num_examples: 500000
|
| 4761 |
download_size: 312088721977
|
| 4762 |
-
dataset_size: 312184613844
|
| 4763 |
- config_name: tabmwp
|
| 4764 |
features:
|
| 4765 |
- name: images
|
|
@@ -4892,10 +4892,10 @@ dataset_info:
|
|
| 4892 |
dtype: int64
|
| 4893 |
splits:
|
| 4894 |
- name: train
|
| 4895 |
-
num_bytes: 4683118092
|
| 4896 |
num_examples: 98680
|
| 4897 |
download_size: 4663708984
|
| 4898 |
-
dataset_size: 4683118092
|
| 4899 |
- config_name: tat_dqa
|
| 4900 |
features:
|
| 4901 |
- name: images
|
|
@@ -4986,10 +4986,10 @@ dataset_info:
|
|
| 4986 |
dtype: int64
|
| 4987 |
splits:
|
| 4988 |
- name: train
|
| 4989 |
-
num_bytes: 1397157730
|
| 4990 |
num_examples: 1000000
|
| 4991 |
download_size: 716116310
|
| 4992 |
-
dataset_size: 1397157730
|
| 4993 |
- config_name: text_code_feedback
|
| 4994 |
features:
|
| 4995 |
- name: images
|
|
@@ -5012,10 +5012,10 @@ dataset_info:
|
|
| 5012 |
dtype: int64
|
| 5013 |
splits:
|
| 5014 |
- name: train
|
| 5015 |
-
num_bytes: 395467554
|
| 5016 |
num_examples: 66383
|
| 5017 |
download_size: 177807405
|
| 5018 |
-
dataset_size: 395467554
|
| 5019 |
- config_name: text_codefeedback_filtered_instruction
|
| 5020 |
features:
|
| 5021 |
- name: images
|
|
@@ -5038,10 +5038,10 @@ dataset_info:
|
|
| 5038 |
dtype: int64
|
| 5039 |
splits:
|
| 5040 |
- name: train
|
| 5041 |
-
num_bytes: 366717666
|
| 5042 |
num_examples: 156525
|
| 5043 |
download_size: 189995909
|
| 5044 |
-
dataset_size: 366717666
|
| 5045 |
- config_name: text_infinitymath
|
| 5046 |
features:
|
| 5047 |
- name: images
|
|
@@ -5064,10 +5064,10 @@ dataset_info:
|
|
| 5064 |
dtype: int64
|
| 5065 |
splits:
|
| 5066 |
- name: train
|
| 5067 |
-
num_bytes: 36914765
|
| 5068 |
num_examples: 101380
|
| 5069 |
download_size: 19626819
|
| 5070 |
-
dataset_size: 36914765
|
| 5071 |
- config_name: text_mathinstruct
|
| 5072 |
features:
|
| 5073 |
- name: images
|
|
@@ -5090,10 +5090,10 @@ dataset_info:
|
|
| 5090 |
dtype: int64
|
| 5091 |
splits:
|
| 5092 |
- name: train
|
| 5093 |
-
num_bytes: 199703065
|
| 5094 |
num_examples: 262039
|
| 5095 |
download_size: 111115007
|
| 5096 |
-
dataset_size: 199703065
|
| 5097 |
- config_name: text_mathqa
|
| 5098 |
features:
|
| 5099 |
- name: images
|
|
@@ -5116,10 +5116,10 @@ dataset_info:
|
|
| 5116 |
dtype: int64
|
| 5117 |
splits:
|
| 5118 |
- name: train
|
| 5119 |
-
num_bytes: 309234514
|
| 5120 |
num_examples: 394996
|
| 5121 |
download_size: 161782592
|
| 5122 |
-
dataset_size: 309234514
|
| 5123 |
- config_name: text_mathstepdpo10k
|
| 5124 |
features:
|
| 5125 |
- name: images
|
|
@@ -5142,10 +5142,10 @@ dataset_info:
|
|
| 5142 |
dtype: int64
|
| 5143 |
splits:
|
| 5144 |
- name: train
|
| 5145 |
-
num_bytes: 5594152
|
| 5146 |
num_examples: 10795
|
| 5147 |
download_size: 3115607
|
| 5148 |
-
dataset_size: 5594152
|
| 5149 |
- config_name: text_numinamath_cot
|
| 5150 |
features:
|
| 5151 |
- name: images
|
|
@@ -5168,10 +5168,10 @@ dataset_info:
|
|
| 5168 |
dtype: int64
|
| 5169 |
splits:
|
| 5170 |
- name: train
|
| 5171 |
-
num_bytes: 1292196153
|
| 5172 |
num_examples: 859494
|
| 5173 |
download_size: 708138975
|
| 5174 |
-
dataset_size: 1292196153
|
| 5175 |
- config_name: text_openhermes_2_5
|
| 5176 |
features:
|
| 5177 |
- name: images
|
|
@@ -5194,10 +5194,10 @@ dataset_info:
|
|
| 5194 |
dtype: int64
|
| 5195 |
splits:
|
| 5196 |
- name: train
|
| 5197 |
-
num_bytes: 1573997409
|
| 5198 |
num_examples: 1001551
|
| 5199 |
download_size: 893716086
|
| 5200 |
-
dataset_size: 1573997409
|
| 5201 |
- config_name: text_openorca
|
| 5202 |
features:
|
| 5203 |
- name: images
|
|
@@ -5220,10 +5220,10 @@ dataset_info:
|
|
| 5220 |
dtype: int64
|
| 5221 |
splits:
|
| 5222 |
- name: train
|
| 5223 |
-
num_bytes: 6918913888
|
| 5224 |
num_examples: 4233853
|
| 5225 |
download_size: 4333157269
|
| 5226 |
-
dataset_size: 6918913888
|
| 5227 |
- config_name: text_orcamath
|
| 5228 |
features:
|
| 5229 |
- name: images
|
|
@@ -5246,10 +5246,10 @@ dataset_info:
|
|
| 5246 |
dtype: int64
|
| 5247 |
splits:
|
| 5248 |
- name: train
|
| 5249 |
-
num_bytes: 238325136
|
| 5250 |
num_examples: 200035
|
| 5251 |
download_size: 96194490
|
| 5252 |
-
dataset_size: 238325136
|
| 5253 |
- config_name: text_pythoncode25k
|
| 5254 |
features:
|
| 5255 |
- name: images
|
|
@@ -5272,10 +5272,10 @@ dataset_info:
|
|
| 5272 |
dtype: int64
|
| 5273 |
splits:
|
| 5274 |
- name: train
|
| 5275 |
-
num_bytes: 26382364
|
| 5276 |
num_examples: 49626
|
| 5277 |
download_size: 14144270
|
| 5278 |
-
dataset_size: 26382364
|
| 5279 |
- config_name: text_pythoncodealpaca
|
| 5280 |
features:
|
| 5281 |
- name: images
|
|
@@ -5298,10 +5298,10 @@ dataset_info:
|
|
| 5298 |
dtype: int64
|
| 5299 |
splits:
|
| 5300 |
- name: train
|
| 5301 |
-
num_bytes: 12659736
|
| 5302 |
num_examples: 18612
|
| 5303 |
download_size: 6520090
|
| 5304 |
-
dataset_size: 12659736
|
| 5305 |
- config_name: text_ruozhiba
|
| 5306 |
features:
|
| 5307 |
- name: images
|
|
@@ -5324,10 +5324,10 @@ dataset_info:
|
|
| 5324 |
dtype: int64
|
| 5325 |
splits:
|
| 5326 |
- name: train
|
| 5327 |
-
num_bytes: 624832
|
| 5328 |
num_examples: 1496
|
| 5329 |
download_size: 425925
|
| 5330 |
-
dataset_size: 624832
|
| 5331 |
- config_name: text_theoremqa
|
| 5332 |
features:
|
| 5333 |
- name: images
|
|
@@ -5350,10 +5350,10 @@ dataset_info:
|
|
| 5350 |
dtype: int64
|
| 5351 |
splits:
|
| 5352 |
- name: train
|
| 5353 |
-
num_bytes: 221207
|
| 5354 |
num_examples: 800
|
| 5355 |
download_size: 137531
|
| 5356 |
-
dataset_size: 221207
|
| 5357 |
- config_name: text_wizardlm_evol
|
| 5358 |
features:
|
| 5359 |
- name: images
|
|
@@ -5376,10 +5376,10 @@ dataset_info:
|
|
| 5376 |
dtype: int64
|
| 5377 |
splits:
|
| 5378 |
- name: train
|
| 5379 |
-
num_bytes: 135800299
|
| 5380 |
num_examples: 69999
|
| 5381 |
download_size: 73655559
|
| 5382 |
-
dataset_size: 135800299
|
| 5383 |
- config_name: textcaps
|
| 5384 |
features:
|
| 5385 |
- name: images
|
|
@@ -5954,10 +5954,10 @@ dataset_info:
|
|
| 5954 |
dtype: int64
|
| 5955 |
splits:
|
| 5956 |
- name: train
|
| 5957 |
-
num_bytes: 17413769
|
| 5958 |
num_examples: 313
|
| 5959 |
download_size: 16998366
|
| 5960 |
-
dataset_size: 17413769
|
| 5961 |
- config_name: vqav2
|
| 5962 |
features:
|
| 5963 |
- name: images
|
|
@@ -6056,10 +6056,10 @@ dataset_info:
|
|
| 6056 |
dtype: int64
|
| 6057 |
splits:
|
| 6058 |
- name: train
|
| 6059 |
-
num_bytes: 8465472626
|
| 6060 |
num_examples: 10000
|
| 6061 |
download_size: 8422476950
|
| 6062 |
-
dataset_size: 8465472626
|
| 6063 |
- config_name: wildvision
|
| 6064 |
features:
|
| 6065 |
- name: images
|
|
@@ -6090,10 +6090,10 @@ dataset_info:
|
|
| 6090 |
dtype: int64
|
| 6091 |
splits:
|
| 6092 |
- name: train
|
| 6093 |
-
num_bytes: 365457306
|
| 6094 |
num_examples: 333
|
| 6095 |
download_size: 253665007
|
| 6096 |
-
dataset_size: 365457306
|
| 6097 |
- config_name: wordart
|
| 6098 |
features:
|
| 6099 |
- name: images
|
|
@@ -6903,6 +6903,8 @@ configs:
|
|
| 6903 |
data_files:
|
| 6904 |
- split: train
|
| 6905 |
path: yesbut/train-*
|
|
|
|
|
|
|
| 6906 |
---
|
| 6907 |
|
| 6908 |
# Fine Vision
|
|
@@ -6924,4 +6926,27 @@ More detail can be found in the blog post: https://huggingface.co/spaces/Hugging
|
|
| 6924 |
|
| 6925 |
# Inspect the first sample
|
| 6926 |
ds[0]
|
| 6927 |
-
```
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 438 |
dtype: int64
|
| 439 |
splits:
|
| 440 |
- name: train
|
| 441 |
+
num_bytes: 17908210462
|
| 442 |
num_examples: 500000
|
| 443 |
download_size: 17714786653
|
| 444 |
+
dataset_size: 17908210462
|
| 445 |
- config_name: SynthCodeNet
|
| 446 |
features:
|
| 447 |
- name: images
|
|
|
|
| 846 |
dtype: int64
|
| 847 |
splits:
|
| 848 |
- name: train
|
| 849 |
+
num_bytes: 81923895225
|
| 850 |
num_examples: 100000
|
| 851 |
download_size: 81811622698
|
| 852 |
+
dataset_size: 81923895225
|
| 853 |
- config_name: bentham
|
| 854 |
features:
|
| 855 |
- name: images
|
|
|
|
| 914 |
dtype: int64
|
| 915 |
splits:
|
| 916 |
- name: train
|
| 917 |
+
num_bytes: 28792412
|
| 918 |
num_examples: 502
|
| 919 |
download_size: 28553870
|
| 920 |
+
dataset_size: 28792412
|
| 921 |
- config_name: blockdiagramhandwritten
|
| 922 |
features:
|
| 923 |
- name: images
|
|
|
|
| 1186 |
dtype: int64
|
| 1187 |
splits:
|
| 1188 |
- name: train
|
| 1189 |
+
num_bytes: 10557164224
|
| 1190 |
num_examples: 70000
|
| 1191 |
download_size: 10465001066
|
| 1192 |
+
dataset_size: 10557164224
|
| 1193 |
- config_name: clevr_math
|
| 1194 |
features:
|
| 1195 |
- name: images
|
|
|
|
| 1220 |
dtype: int64
|
| 1221 |
splits:
|
| 1222 |
- name: train
|
| 1223 |
+
num_bytes: 9394753178
|
| 1224 |
num_examples: 70000
|
| 1225 |
download_size: 9344480504
|
| 1226 |
+
dataset_size: 9394753178
|
| 1227 |
- config_name: clevr_math(mathv360k)
|
| 1228 |
features:
|
| 1229 |
- name: images
|
|
|
|
| 1526 |
dtype: int64
|
| 1527 |
splits:
|
| 1528 |
- name: train
|
| 1529 |
+
num_bytes: 18704652
|
| 1530 |
num_examples: 300
|
| 1531 |
download_size: 18534456
|
| 1532 |
+
dataset_size: 18704652
|
| 1533 |
- config_name: docvqa
|
| 1534 |
features:
|
| 1535 |
- name: images
|
|
|
|
| 1628 |
dtype: int64
|
| 1629 |
splits:
|
| 1630 |
- name: train
|
| 1631 |
+
num_bytes: 4581122677
|
| 1632 |
num_examples: 200000
|
| 1633 |
download_size: 4302544626
|
| 1634 |
+
dataset_size: 4581122677
|
| 1635 |
- config_name: est_vqa
|
| 1636 |
features:
|
| 1637 |
- name: images
|
|
|
|
| 1696 |
dtype: int64
|
| 1697 |
splits:
|
| 1698 |
- name: train
|
| 1699 |
+
num_bytes: 15127430
|
| 1700 |
num_examples: 797
|
| 1701 |
download_size: 14983116
|
| 1702 |
+
dataset_size: 15127430
|
| 1703 |
- config_name: figureqa
|
| 1704 |
features:
|
| 1705 |
- name: images
|
|
|
|
| 1730 |
dtype: int64
|
| 1731 |
splits:
|
| 1732 |
- name: train
|
| 1733 |
+
num_bytes: 2346521984
|
| 1734 |
num_examples: 100000
|
| 1735 |
download_size: 2222862886
|
| 1736 |
+
dataset_size: 2346521984
|
| 1737 |
- config_name: figureqa(mathv360k)
|
| 1738 |
features:
|
| 1739 |
- name: images
|
|
|
|
| 1832 |
dtype: int64
|
| 1833 |
splits:
|
| 1834 |
- name: train
|
| 1835 |
+
num_bytes: 35306471
|
| 1836 |
num_examples: 194
|
| 1837 |
download_size: 35104326
|
| 1838 |
+
dataset_size: 35306471
|
| 1839 |
- config_name: geo170k(align)
|
| 1840 |
features:
|
| 1841 |
- name: images
|
|
|
|
| 2070 |
dtype: int64
|
| 2071 |
splits:
|
| 2072 |
- name: train
|
| 2073 |
+
num_bytes: 3936551
|
| 2074 |
num_examples: 498
|
| 2075 |
download_size: 1613784
|
| 2076 |
+
dataset_size: 3936551
|
| 2077 |
- config_name: google_landmarks
|
| 2078 |
features:
|
| 2079 |
- name: images
|
|
|
|
| 2172 |
dtype: int64
|
| 2173 |
splits:
|
| 2174 |
- name: train
|
| 2175 |
+
num_bytes: 168001610
|
| 2176 |
num_examples: 1400
|
| 2177 |
download_size: 164655119
|
| 2178 |
+
dataset_size: 168001610
|
| 2179 |
- config_name: hateful_memes
|
| 2180 |
features:
|
| 2181 |
- name: images
|
|
|
|
| 2240 |
dtype: int64
|
| 2241 |
splits:
|
| 2242 |
- name: train
|
| 2243 |
+
num_bytes: 163934179
|
| 2244 |
num_examples: 2500
|
| 2245 |
download_size: 160422628
|
| 2246 |
+
dataset_size: 163934179
|
| 2247 |
- config_name: hme100k
|
| 2248 |
features:
|
| 2249 |
- name: images
|
|
|
|
| 2716 |
dtype: int64
|
| 2717 |
splits:
|
| 2718 |
- name: train
|
| 2719 |
+
num_bytes: 25159455
|
| 2720 |
num_examples: 1280
|
| 2721 |
download_size: 24899065
|
| 2722 |
+
dataset_size: 25159455
|
| 2723 |
- config_name: invoices_receipts
|
| 2724 |
features:
|
| 2725 |
- name: images
|
|
|
|
| 3192 |
dtype: int64
|
| 3193 |
splits:
|
| 3194 |
- name: train
|
| 3195 |
+
num_bytes: 1504185688
|
| 3196 |
num_examples: 200
|
| 3197 |
download_size: 1504165598
|
| 3198 |
+
dataset_size: 1504185688
|
| 3199 |
- config_name: mathwriting-google
|
| 3200 |
features:
|
| 3201 |
- name: images
|
|
|
|
| 3226 |
dtype: int64
|
| 3227 |
splits:
|
| 3228 |
- name: train
|
| 3229 |
+
num_bytes: 12299849132
|
| 3230 |
num_examples: 300000
|
| 3231 |
download_size: 12219456415
|
| 3232 |
+
dataset_size: 12299849132
|
| 3233 |
- config_name: mavis_math_metagen
|
| 3234 |
features:
|
| 3235 |
- name: images
|
|
|
|
| 3804 |
dtype: int64
|
| 3805 |
splits:
|
| 3806 |
- name: train
|
| 3807 |
+
num_bytes: 18649772240
|
| 3808 |
num_examples: 32632
|
| 3809 |
download_size: 18155570098
|
| 3810 |
+
dataset_size: 18649772240
|
| 3811 |
- config_name: pdfvqa
|
| 3812 |
features:
|
| 3813 |
- name: images
|
|
|
|
| 3940 |
dtype: int64
|
| 3941 |
splits:
|
| 3942 |
- name: train
|
| 3943 |
+
num_bytes: 1734017137
|
| 3944 |
num_examples: 42000
|
| 3945 |
download_size: 1721095694
|
| 3946 |
+
dataset_size: 1734017137
|
| 3947 |
- config_name: rendered_text
|
| 3948 |
features:
|
| 3949 |
- name: images
|
|
|
|
| 3974 |
dtype: int64
|
| 3975 |
splits:
|
| 3976 |
- name: train
|
| 3977 |
+
num_bytes: 11087697572
|
| 3978 |
num_examples: 10000
|
| 3979 |
download_size: 11087197372
|
| 3980 |
+
dataset_size: 11087697572
|
| 3981 |
- config_name: robut_sqa
|
| 3982 |
features:
|
| 3983 |
- name: images
|
|
|
|
| 4416 |
dtype: int64
|
| 4417 |
splits:
|
| 4418 |
- name: train
|
| 4419 |
+
num_bytes: 462161568
|
| 4420 |
num_examples: 8000
|
| 4421 |
download_size: 454872096
|
| 4422 |
+
dataset_size: 462161568
|
| 4423 |
- config_name: slidevqa
|
| 4424 |
features:
|
| 4425 |
- name: images
|
|
|
|
| 4756 |
dtype: int64
|
| 4757 |
splits:
|
| 4758 |
- name: train
|
| 4759 |
+
num_bytes: 312184613844
|
| 4760 |
num_examples: 500000
|
| 4761 |
download_size: 312088721977
|
| 4762 |
+
dataset_size: 312184613844
|
| 4763 |
- config_name: tabmwp
|
| 4764 |
features:
|
| 4765 |
- name: images
|
|
|
|
| 4892 |
dtype: int64
|
| 4893 |
splits:
|
| 4894 |
- name: train
|
| 4895 |
+
num_bytes: 4683118092
|
| 4896 |
num_examples: 98680
|
| 4897 |
download_size: 4663708984
|
| 4898 |
+
dataset_size: 4683118092
|
| 4899 |
- config_name: tat_dqa
|
| 4900 |
features:
|
| 4901 |
- name: images
|
|
|
|
| 4986 |
dtype: int64
|
| 4987 |
splits:
|
| 4988 |
- name: train
|
| 4989 |
+
num_bytes: 1397157730
|
| 4990 |
num_examples: 1000000
|
| 4991 |
download_size: 716116310
|
| 4992 |
+
dataset_size: 1397157730
|
| 4993 |
- config_name: text_code_feedback
|
| 4994 |
features:
|
| 4995 |
- name: images
|
|
|
|
| 5012 |
dtype: int64
|
| 5013 |
splits:
|
| 5014 |
- name: train
|
| 5015 |
+
num_bytes: 395467554
|
| 5016 |
num_examples: 66383
|
| 5017 |
download_size: 177807405
|
| 5018 |
+
dataset_size: 395467554
|
| 5019 |
- config_name: text_codefeedback_filtered_instruction
|
| 5020 |
features:
|
| 5021 |
- name: images
|
|
|
|
| 5038 |
dtype: int64
|
| 5039 |
splits:
|
| 5040 |
- name: train
|
| 5041 |
+
num_bytes: 366717666
|
| 5042 |
num_examples: 156525
|
| 5043 |
download_size: 189995909
|
| 5044 |
+
dataset_size: 366717666
|
| 5045 |
- config_name: text_infinitymath
|
| 5046 |
features:
|
| 5047 |
- name: images
|
|
|
|
| 5064 |
dtype: int64
|
| 5065 |
splits:
|
| 5066 |
- name: train
|
| 5067 |
+
num_bytes: 36914765
|
| 5068 |
num_examples: 101380
|
| 5069 |
download_size: 19626819
|
| 5070 |
+
dataset_size: 36914765
|
| 5071 |
- config_name: text_mathinstruct
|
| 5072 |
features:
|
| 5073 |
- name: images
|
|
|
|
| 5090 |
dtype: int64
|
| 5091 |
splits:
|
| 5092 |
- name: train
|
| 5093 |
+
num_bytes: 199703065
|
| 5094 |
num_examples: 262039
|
| 5095 |
download_size: 111115007
|
| 5096 |
+
dataset_size: 199703065
|
| 5097 |
- config_name: text_mathqa
|
| 5098 |
features:
|
| 5099 |
- name: images
|
|
|
|
| 5116 |
dtype: int64
|
| 5117 |
splits:
|
| 5118 |
- name: train
|
| 5119 |
+
num_bytes: 309234514
|
| 5120 |
num_examples: 394996
|
| 5121 |
download_size: 161782592
|
| 5122 |
+
dataset_size: 309234514
|
| 5123 |
- config_name: text_mathstepdpo10k
|
| 5124 |
features:
|
| 5125 |
- name: images
|
|
|
|
| 5142 |
dtype: int64
|
| 5143 |
splits:
|
| 5144 |
- name: train
|
| 5145 |
+
num_bytes: 5594152
|
| 5146 |
num_examples: 10795
|
| 5147 |
download_size: 3115607
|
| 5148 |
+
dataset_size: 5594152
|
| 5149 |
- config_name: text_numinamath_cot
|
| 5150 |
features:
|
| 5151 |
- name: images
|
|
|
|
| 5168 |
dtype: int64
|
| 5169 |
splits:
|
| 5170 |
- name: train
|
| 5171 |
+
num_bytes: 1292196153
|
| 5172 |
num_examples: 859494
|
| 5173 |
download_size: 708138975
|
| 5174 |
+
dataset_size: 1292196153
|
| 5175 |
- config_name: text_openhermes_2_5
|
| 5176 |
features:
|
| 5177 |
- name: images
|
|
|
|
| 5194 |
dtype: int64
|
| 5195 |
splits:
|
| 5196 |
- name: train
|
| 5197 |
+
num_bytes: 1573997409
|
| 5198 |
num_examples: 1001551
|
| 5199 |
download_size: 893716086
|
| 5200 |
+
dataset_size: 1573997409
|
| 5201 |
- config_name: text_openorca
|
| 5202 |
features:
|
| 5203 |
- name: images
|
|
|
|
| 5220 |
dtype: int64
|
| 5221 |
splits:
|
| 5222 |
- name: train
|
| 5223 |
+
num_bytes: 6918913888
|
| 5224 |
num_examples: 4233853
|
| 5225 |
download_size: 4333157269
|
| 5226 |
+
dataset_size: 6918913888
|
| 5227 |
- config_name: text_orcamath
|
| 5228 |
features:
|
| 5229 |
- name: images
|
|
|
|
| 5246 |
dtype: int64
|
| 5247 |
splits:
|
| 5248 |
- name: train
|
| 5249 |
+
num_bytes: 238325136
|
| 5250 |
num_examples: 200035
|
| 5251 |
download_size: 96194490
|
| 5252 |
+
dataset_size: 238325136
|
| 5253 |
- config_name: text_pythoncode25k
|
| 5254 |
features:
|
| 5255 |
- name: images
|
|
|
|
| 5272 |
dtype: int64
|
| 5273 |
splits:
|
| 5274 |
- name: train
|
| 5275 |
+
num_bytes: 26382364
|
| 5276 |
num_examples: 49626
|
| 5277 |
download_size: 14144270
|
| 5278 |
+
dataset_size: 26382364
|
| 5279 |
- config_name: text_pythoncodealpaca
|
| 5280 |
features:
|
| 5281 |
- name: images
|
|
|
|
| 5298 |
dtype: int64
|
| 5299 |
splits:
|
| 5300 |
- name: train
|
| 5301 |
+
num_bytes: 12659736
|
| 5302 |
num_examples: 18612
|
| 5303 |
download_size: 6520090
|
| 5304 |
+
dataset_size: 12659736
|
| 5305 |
- config_name: text_ruozhiba
|
| 5306 |
features:
|
| 5307 |
- name: images
|
|
|
|
| 5324 |
dtype: int64
|
| 5325 |
splits:
|
| 5326 |
- name: train
|
| 5327 |
+
num_bytes: 624832
|
| 5328 |
num_examples: 1496
|
| 5329 |
download_size: 425925
|
| 5330 |
+
dataset_size: 624832
|
| 5331 |
- config_name: text_theoremqa
|
| 5332 |
features:
|
| 5333 |
- name: images
|
|
|
|
| 5350 |
dtype: int64
|
| 5351 |
splits:
|
| 5352 |
- name: train
|
| 5353 |
+
num_bytes: 221207
|
| 5354 |
num_examples: 800
|
| 5355 |
download_size: 137531
|
| 5356 |
+
dataset_size: 221207
|
| 5357 |
- config_name: text_wizardlm_evol
|
| 5358 |
features:
|
| 5359 |
- name: images
|
|
|
|
| 5376 |
dtype: int64
|
| 5377 |
splits:
|
| 5378 |
- name: train
|
| 5379 |
+
num_bytes: 135800299
|
| 5380 |
num_examples: 69999
|
| 5381 |
download_size: 73655559
|
| 5382 |
+
dataset_size: 135800299
|
| 5383 |
- config_name: textcaps
|
| 5384 |
features:
|
| 5385 |
- name: images
|
|
|
|
| 5954 |
dtype: int64
|
| 5955 |
splits:
|
| 5956 |
- name: train
|
| 5957 |
+
num_bytes: 17413769
|
| 5958 |
num_examples: 313
|
| 5959 |
download_size: 16998366
|
| 5960 |
+
dataset_size: 17413769
|
| 5961 |
- config_name: vqav2
|
| 5962 |
features:
|
| 5963 |
- name: images
|
|
|
|
| 6056 |
dtype: int64
|
| 6057 |
splits:
|
| 6058 |
- name: train
|
| 6059 |
+
num_bytes: 8465472626
|
| 6060 |
num_examples: 10000
|
| 6061 |
download_size: 8422476950
|
| 6062 |
+
dataset_size: 8465472626
|
| 6063 |
- config_name: wildvision
|
| 6064 |
features:
|
| 6065 |
- name: images
|
|
|
|
| 6090 |
dtype: int64
|
| 6091 |
splits:
|
| 6092 |
- name: train
|
| 6093 |
+
num_bytes: 365457306
|
| 6094 |
num_examples: 333
|
| 6095 |
download_size: 253665007
|
| 6096 |
+
dataset_size: 365457306
|
| 6097 |
- config_name: wordart
|
| 6098 |
features:
|
| 6099 |
- name: images
|
|
|
|
| 6903 |
data_files:
|
| 6904 |
- split: train
|
| 6905 |
path: yesbut/train-*
|
| 6906 |
+
size_categories:
|
| 6907 |
+
- 10M<n<100M
|
| 6908 |
---
|
| 6909 |
|
| 6910 |
# Fine Vision
|
|
|
|
| 6926 |
|
| 6927 |
# Inspect the first sample
|
| 6928 |
ds[0]
|
| 6929 |
+
```
|
| 6930 |
+
|
| 6931 |
+
### Structure
|
| 6932 |
+
|
| 6933 |
+
```bash
|
| 6934 |
+
{
|
| 6935 |
+
'images': [<PIL.PngImagePlugin.PngImageFile image mode=RGB size=387x194 at 0x7F8F0B308200>],
|
| 6936 |
+
'texts': [{'user': 'Question: What is between the reticulum and the abomasum?\nChoices:\nA. Intestine\nB. Omasum\nC. Stomach\nD. Rumen\nAnswer with the letter.', 'assistant': 'Answer: B'},
|
| 6937 |
+
{'user': 'Here is a diagram figure extracted from some Grade 1 - 6 science books.\nPlease first describe the content of this figure in detail, including how the knowledge visually displayed in the diagram.\nThen start with a section title "related knowledge:", briefly and concisely highlight the related domain knowledge and theories that underly this diagram. Note that you do not need to provide much detail. Simply cover the most important concepts.', 'assistant': "The figure is a simple diagram of the four compartments of a ruminant animal's stomach, which are the rumen, reticulum, omasum, and abomasum. The diagram shows the relative size and position of each compartment within the stomach, with arrows indicating the direction of food flow from one compartment to the next. \n\nRelated Knowledge:\n- Ruminant Digestion: Ruminants such as cows, sheep, and goats have a unique digestive system that allows them to break down fibrous plant material, like grass, that other animals cannot digest.\n- Four Stomach Compartments: The rumen is the largest compartment and serves as a fermentation vat where microbes break down fibrous material. The reticulum traps foreign objects and also helps in fermentation. The omasum absorbs water and nutrients, and the abomasum is the true stomach where digestion occurs similarly to monogastric animals.\n- Microbial Fermentation: The microbes in the rumen produce volatile fatty acids which are the primary energy source for ruminants. They also produce gases like methane, which are eructated (belched) out.\n- Ruminant Nutrition: Ruminants rely on a high-fiber diet and have to consume large quantities of forage to meet their nutritional needs."}],
|
| 6938 |
+
'source': 'original',
|
| 6939 |
+
'image_correspondence_ratings': [4, 3],
|
| 6940 |
+
'image_correspondence_min': 3,
|
| 6941 |
+
'visual_dependency_ratings': [4, 5],
|
| 6942 |
+
'visual_dependency_min': 4,
|
| 6943 |
+
'formatting_ratings': [4, 4],
|
| 6944 |
+
'formatting_min': 4,
|
| 6945 |
+
'relevance_ratings': [5, 5],
|
| 6946 |
+
'relevance_min': 5
|
| 6947 |
+
}
|
| 6948 |
+
```
|
| 6949 |
+
|
| 6950 |
+
### Categories
|
| 6951 |
+
|
| 6952 |
+

|