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- A-OKVQA/test-00000-of-00001.parquet +3 -0
- CIFAR-100/test-00000-of-00001.parquet +3 -0
- CIRR/test-00000-of-00001.parquet +3 -0
- ChartQA/test-00000-of-00001.parquet +3 -0
- Country211/test-00000-of-00001.parquet +3 -0
- DocVQA/test-00000-of-00001.parquet +3 -0
- EDIS/test-00000-of-00001.parquet +3 -0
- FashionIQ/test-00000-of-00001.parquet +3 -0
- GQA/test-00000-of-00001.parquet +3 -0
- HatefulMemes/test-00000-of-00001.parquet +3 -0
- ImageNet-1K/test-00000-of-00001.parquet +3 -0
- ImageNet-A/test-00000-of-00001.parquet +3 -0
- ImageNet-R/test-00000-of-00001.parquet +3 -0
- InfographicsVQA/test-00000-of-00001.parquet +3 -0
- MSCOCO/test-00000-of-00001.parquet +3 -0
- MSCOCO_i2t/test-00000-of-00001.parquet +3 -0
- MSCOCO_t2i/test-00000-of-00001.parquet +3 -0
- N24News/test-00000-of-00001.parquet +3 -0
- NIGHTS/test-00000-of-00001.parquet +3 -0
- OK-VQA/test-00000-of-00001.parquet +3 -0
- OVEN/test-00000-of-00002.parquet +3 -0
- OVEN/test-00001-of-00002.parquet +3 -0
- ObjectNet/test-00000-of-00001.parquet +3 -0
- Place365/test-00000-of-00001.parquet +3 -0
- README.md +744 -0
- RefCOCO-Matching/test-00000-of-00001.parquet +3 -0
- RefCOCO/test-00000-of-00001.parquet +3 -0
- SUN397/test-00000-of-00001.parquet +3 -0
- ScienceQA/test-00000-of-00001.parquet +3 -0
- TextVQA/test-00000-of-00001.parquet +3 -0
- VOC2007/test-00000-of-00001.parquet +3 -0
- VisDial/test-00000-of-00001.parquet +3 -0
- Visual7W-Pointing/test-00000-of-00001.parquet +3 -0
- Visual7W/test-00000-of-00001.parquet +3 -0
- VisualNews_i2t/test-00000-of-00001.parquet +3 -0
- VisualNews_t2i/test-00000-of-00001.parquet +3 -0
- VizWiz/test-00000-of-00001.parquet +3 -0
- WebQA/test-00000-of-00001.parquet +3 -0
- Wiki-SS-NQ/test-00000-of-00001.parquet +3 -0
- images_zip/A-OKVQA.zip +3 -0
- images_zip/CIFAR-100.zip +3 -0
- images_zip/CIRR.zip +3 -0
- images_zip/ChartQA.zip +3 -0
- images_zip/Country211.zip +3 -0
- images_zip/DocVQA.zip +3 -0
- images_zip/EDIS.zip +3 -0
- images_zip/FashionIQ.zip +3 -0
- images_zip/GQA.zip +3 -0
- images_zip/HatefulMemes.zip +3 -0
- images_zip/ImageNet-1K.zip +3 -0
A-OKVQA/test-00000-of-00001.parquet
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CIFAR-100/test-00000-of-00001.parquet
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CIRR/test-00000-of-00001.parquet
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ChartQA/test-00000-of-00001.parquet
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Country211/test-00000-of-00001.parquet
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DocVQA/test-00000-of-00001.parquet
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EDIS/test-00000-of-00001.parquet
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FashionIQ/test-00000-of-00001.parquet
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GQA/test-00000-of-00001.parquet
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HatefulMemes/test-00000-of-00001.parquet
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ImageNet-1K/test-00000-of-00001.parquet
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ImageNet-A/test-00000-of-00001.parquet
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ImageNet-R/test-00000-of-00001.parquet
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InfographicsVQA/test-00000-of-00001.parquet
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MSCOCO/test-00000-of-00001.parquet
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MSCOCO_i2t/test-00000-of-00001.parquet
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MSCOCO_t2i/test-00000-of-00001.parquet
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N24News/test-00000-of-00001.parquet
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NIGHTS/test-00000-of-00001.parquet
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OK-VQA/test-00000-of-00001.parquet
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OVEN/test-00000-of-00002.parquet
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OVEN/test-00001-of-00002.parquet
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ObjectNet/test-00000-of-00001.parquet
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Place365/test-00000-of-00001.parquet
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README.md
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|
1 |
+
---
|
2 |
+
dataset_info:
|
3 |
+
- config_name: A-OKVQA
|
4 |
+
features:
|
5 |
+
- name: qry_text
|
6 |
+
dtype: string
|
7 |
+
- name: qry_img_path
|
8 |
+
dtype: string
|
9 |
+
- name: tgt_text
|
10 |
+
sequence: string
|
11 |
+
- name: tgt_img_path
|
12 |
+
sequence: string
|
13 |
+
splits:
|
14 |
+
- name: test
|
15 |
+
num_bytes: 14048199
|
16 |
+
num_examples: 1000
|
17 |
+
download_size: 1168340
|
18 |
+
dataset_size: 14048199
|
19 |
+
- config_name: CIFAR-100
|
20 |
+
features:
|
21 |
+
- name: qry_text
|
22 |
+
dtype: string
|
23 |
+
- name: qry_img_path
|
24 |
+
dtype: string
|
25 |
+
- name: tgt_text
|
26 |
+
sequence: string
|
27 |
+
- name: tgt_img_path
|
28 |
+
sequence: string
|
29 |
+
splits:
|
30 |
+
- name: test
|
31 |
+
num_bytes: 1519890
|
32 |
+
num_examples: 1000
|
33 |
+
download_size: 20544
|
34 |
+
dataset_size: 1519890
|
35 |
+
- config_name: CIRR
|
36 |
+
features:
|
37 |
+
- name: qry_text
|
38 |
+
dtype: string
|
39 |
+
- name: qry_img_path
|
40 |
+
dtype: string
|
41 |
+
- name: tgt_text
|
42 |
+
sequence: string
|
43 |
+
- name: tgt_img_path
|
44 |
+
sequence: string
|
45 |
+
splits:
|
46 |
+
- name: test
|
47 |
+
num_bytes: 70162098
|
48 |
+
num_examples: 1000
|
49 |
+
download_size: 1565489
|
50 |
+
dataset_size: 70162098
|
51 |
+
- config_name: ChartQA
|
52 |
+
features:
|
53 |
+
- name: qry_text
|
54 |
+
dtype: string
|
55 |
+
- name: qry_img_path
|
56 |
+
dtype: string
|
57 |
+
- name: tgt_text
|
58 |
+
sequence: string
|
59 |
+
- name: tgt_img_path
|
60 |
+
sequence: string
|
61 |
+
splits:
|
62 |
+
- name: test
|
63 |
+
num_bytes: 14354641
|
64 |
+
num_examples: 1000
|
65 |
+
download_size: 1434448
|
66 |
+
dataset_size: 14354641
|
67 |
+
- config_name: Country211
|
68 |
+
features:
|
69 |
+
- name: qry_text
|
70 |
+
dtype: string
|
71 |
+
- name: qry_img_path
|
72 |
+
dtype: string
|
73 |
+
- name: tgt_text
|
74 |
+
sequence: string
|
75 |
+
- name: tgt_img_path
|
76 |
+
sequence: string
|
77 |
+
splits:
|
78 |
+
- name: test
|
79 |
+
num_bytes: 3678000
|
80 |
+
num_examples: 1000
|
81 |
+
download_size: 31556
|
82 |
+
dataset_size: 3678000
|
83 |
+
- config_name: DocVQA
|
84 |
+
features:
|
85 |
+
- name: qry_text
|
86 |
+
dtype: string
|
87 |
+
- name: qry_img_path
|
88 |
+
dtype: string
|
89 |
+
- name: tgt_text
|
90 |
+
sequence: string
|
91 |
+
- name: tgt_img_path
|
92 |
+
sequence: string
|
93 |
+
splits:
|
94 |
+
- name: test
|
95 |
+
num_bytes: 23044459
|
96 |
+
num_examples: 1000
|
97 |
+
download_size: 1734476
|
98 |
+
dataset_size: 23044459
|
99 |
+
- config_name: EDIS
|
100 |
+
features:
|
101 |
+
- name: qry_text
|
102 |
+
dtype: string
|
103 |
+
- name: qry_img_path
|
104 |
+
dtype: string
|
105 |
+
- name: tgt_text
|
106 |
+
sequence: string
|
107 |
+
- name: tgt_img_path
|
108 |
+
sequence: string
|
109 |
+
splits:
|
110 |
+
- name: test
|
111 |
+
num_bytes: 184208708
|
112 |
+
num_examples: 1000
|
113 |
+
download_size: 3350382
|
114 |
+
dataset_size: 184208708
|
115 |
+
- config_name: FashionIQ
|
116 |
+
features:
|
117 |
+
- name: qry_text
|
118 |
+
dtype: string
|
119 |
+
- name: qry_img_path
|
120 |
+
dtype: string
|
121 |
+
- name: tgt_text
|
122 |
+
sequence: string
|
123 |
+
- name: tgt_img_path
|
124 |
+
sequence: string
|
125 |
+
splits:
|
126 |
+
- name: test
|
127 |
+
num_bytes: 71169665
|
128 |
+
num_examples: 1000
|
129 |
+
download_size: 1729457
|
130 |
+
dataset_size: 71169665
|
131 |
+
- config_name: GQA
|
132 |
+
features:
|
133 |
+
- name: qry_text
|
134 |
+
dtype: string
|
135 |
+
- name: qry_img_path
|
136 |
+
dtype: string
|
137 |
+
- name: tgt_text
|
138 |
+
sequence: string
|
139 |
+
- name: tgt_img_path
|
140 |
+
sequence: string
|
141 |
+
splits:
|
142 |
+
- name: test
|
143 |
+
num_bytes: 40809641
|
144 |
+
num_examples: 1000
|
145 |
+
download_size: 1764457
|
146 |
+
dataset_size: 40809641
|
147 |
+
- config_name: HatefulMemes
|
148 |
+
features:
|
149 |
+
- name: qry_text
|
150 |
+
dtype: string
|
151 |
+
- name: qry_img_path
|
152 |
+
dtype: string
|
153 |
+
- name: tgt_text
|
154 |
+
sequence: string
|
155 |
+
- name: tgt_img_path
|
156 |
+
sequence: string
|
157 |
+
splits:
|
158 |
+
- name: test
|
159 |
+
num_bytes: 184890
|
160 |
+
num_examples: 1000
|
161 |
+
download_size: 9972
|
162 |
+
dataset_size: 184890
|
163 |
+
- config_name: ImageNet-1K
|
164 |
+
features:
|
165 |
+
- name: qry_text
|
166 |
+
dtype: string
|
167 |
+
- name: qry_img_path
|
168 |
+
dtype: string
|
169 |
+
- name: tgt_text
|
170 |
+
sequence: string
|
171 |
+
- name: tgt_img_path
|
172 |
+
sequence: string
|
173 |
+
splits:
|
174 |
+
- name: test
|
175 |
+
num_bytes: 28773890
|
176 |
+
num_examples: 1000
|
177 |
+
download_size: 185019
|
178 |
+
dataset_size: 28773890
|
179 |
+
- config_name: ImageNet-A
|
180 |
+
features:
|
181 |
+
- name: qry_text
|
182 |
+
dtype: string
|
183 |
+
- name: qry_img_path
|
184 |
+
dtype: string
|
185 |
+
- name: tgt_text
|
186 |
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sequence: string
|
187 |
+
- name: tgt_img_path
|
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sequence: string
|
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splits:
|
190 |
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|
191 |
+
num_bytes: 28772890
|
192 |
+
num_examples: 1000
|
193 |
+
download_size: 147780
|
194 |
+
dataset_size: 28772890
|
195 |
+
- config_name: ImageNet-R
|
196 |
+
features:
|
197 |
+
- name: qry_text
|
198 |
+
dtype: string
|
199 |
+
- name: qry_img_path
|
200 |
+
dtype: string
|
201 |
+
- name: tgt_text
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202 |
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sequence: string
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- name: tgt_img_path
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sequence: string
|
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splits:
|
206 |
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|
207 |
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num_bytes: 3456890
|
208 |
+
num_examples: 1000
|
209 |
+
download_size: 23656
|
210 |
+
dataset_size: 3456890
|
211 |
+
- config_name: InfographicsVQA
|
212 |
+
features:
|
213 |
+
- name: qry_text
|
214 |
+
dtype: string
|
215 |
+
- name: qry_img_path
|
216 |
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dtype: string
|
217 |
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sequence: string
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|
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splits:
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|
223 |
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num_bytes: 19114439
|
224 |
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num_examples: 1000
|
225 |
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download_size: 1439837
|
226 |
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dataset_size: 19114439
|
227 |
+
- config_name: MSCOCO
|
228 |
+
features:
|
229 |
+
- name: qry_text
|
230 |
+
dtype: string
|
231 |
+
- name: qry_img_path
|
232 |
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dtype: string
|
233 |
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|
234 |
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sequence: string
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|
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|
239 |
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num_bytes: 97759085
|
240 |
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num_examples: 1000
|
241 |
+
download_size: 1681753
|
242 |
+
dataset_size: 97759085
|
243 |
+
- config_name: MSCOCO_i2t
|
244 |
+
features:
|
245 |
+
- name: qry_text
|
246 |
+
dtype: string
|
247 |
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256 |
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num_examples: 1000
|
257 |
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download_size: 1785583
|
258 |
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dataset_size: 60201740
|
259 |
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- config_name: MSCOCO_t2i
|
260 |
+
features:
|
261 |
+
- name: qry_text
|
262 |
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dtype: string
|
263 |
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|
273 |
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|
274 |
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|
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- config_name: N24News
|
276 |
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features:
|
277 |
+
- name: qry_text
|
278 |
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dtype: string
|
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|
289 |
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|
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- config_name: NIGHTS
|
292 |
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features:
|
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+
- name: qry_text
|
294 |
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dtype: string
|
295 |
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304 |
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|
305 |
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|
306 |
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|
307 |
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- config_name: OK-VQA
|
308 |
+
features:
|
309 |
+
- name: qry_text
|
310 |
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|
311 |
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num_examples: 1000
|
321 |
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|
322 |
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dataset_size: 15332578
|
323 |
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- config_name: OVEN
|
324 |
+
features:
|
325 |
+
- name: qry_text
|
326 |
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dtype: string
|
327 |
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- name: qry_img_path
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|
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num_examples: 1000
|
337 |
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download_size: 406792141
|
338 |
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dataset_size: 717934263
|
339 |
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- config_name: ObjectNet
|
340 |
+
features:
|
341 |
+
- name: qry_text
|
342 |
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dtype: string
|
343 |
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|
352 |
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|
353 |
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|
354 |
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dataset_size: 2036000
|
355 |
+
- config_name: Place365
|
356 |
+
features:
|
357 |
+
- name: qry_text
|
358 |
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dtype: string
|
359 |
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368 |
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|
369 |
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|
371 |
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|
372 |
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|
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|
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|
388 |
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|
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+
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744 |
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