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Error code: DatasetGenerationError Exception: DatasetGenerationError Message: An error occurred while generating the dataset Traceback: Traceback (most recent call last): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1995, in _prepare_split_single for _, table in generator: File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/text/text.py", line 90, in _generate_tables batch = f.read(self.config.chunksize) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 1104, in read_with_retries out = read(*args, **kwargs) File "/usr/local/lib/python3.9/codecs.py", line 322, in decode (result, consumed) = self._buffer_decode(data, self.errors, final) UnicodeDecodeError: 'utf-8' codec can't decode byte 0x93 in position 0: invalid start byte The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1577, in compute_config_parquet_and_info_response parquet_operations = convert_to_parquet(builder) File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1191, in convert_to_parquet builder.download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare self._download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare self._prepare_split(split_generator, **prepare_split_kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split for job_id, done, content in self._prepare_split_single( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2038, in _prepare_split_single raise DatasetGenerationError("An error occurred while generating the dataset") from e datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset
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16670,19320,10201,40,31429,44,11112,6677,5524,11196,5495,7026,11352,5287,14088,7449,3,19197,27194,14,20677,7009,5275,5264,44,11112,6677,5524,24346,13282,5536,5259,5559,3 |
11475,55,5567,7346,14,16551,5264,17042,6264,5259,14296,14958,14,14296,10646,11781,17486,5258,7085,7421,10981,5261,5258,8739,16 |
6457,12435,7026,6672,14627,5406,5358,11292,5297,9006,7478,5518,16269,14,6457,17157,7026,16351,5258,6331,22502,5358,11292,11582,16,6881,40,9914,6791,9915,7026,10725,5801,5408,10670,5267,29567,14078,5264,5293,24775,17998,5374,16,6881,40,9914,9983,5526,7311,13719,5264,6843,5569,5827,10715,5267,13653,10166,16,26641,5876,8493,5607,7155,9915,7026,10725,16,6881,40,9914,35,2,37 |
3616,2591,3116,3690,2318,2591,411,600,870,2121,3136,703,316,1055,1055,616,323,4130,3028,377,5125,4792,411,926,3116,3690,2318,2591,411,3110,5111,3284,1846,421,303,5234,345,2121,4268,2198,597,2976,1042,314,323,4130,3028,377,971,5231,3616,172,2091,172,4960,926,316,1055,5232,331,285,173,5349,1544,3116,3690,2318,2591,411,377,4677,3323,3202,5329,1206,14,800,597,2976,3116,3690,2318,2591,411,1509,1073,419,5016,5355,7,173 |
8937,5269,12059,21866 |
6162,20765,6852,25081,14213,8,6092,23473,25428,5260,7843,5297,21523,10347,5260,5293,8727,10896,15,15911,6162,20765,6852,5295,10385,5836,8163,7361 |
44,17209,5257,15156,5602,14,17399,5257,14012,25695,5283,17399,43,9,26755,14710 |
2635,834,2655,1527,763,4101,2178,4857,4363,418,600,870,2121,285,1361,297,303,3028,377,1176,763,4101,3534,3393,3110,421,303,5234,609,2178,297,303,3019,2347,3534,3393,3110,3028,377,3550,5097,5234,3534,2693,2178,502,4248,5234,2178,5111,316,449,2297,3534,4368,5234,2178,793,1083,290,1429,172,841,1083,365,1429,3370,5234,345,863,1907,1351,1812,4130,2489,535,874,3283,1826,3646,1570,3110,3534,3393,5234,3719,4542,1562,293,879,1351,1812,3110,293,879,4920,2489,5234,1845,1956 |
2534,767,615,4512,628,303,2180,730,2178,4857,600,870,2831,3539,2180,730,28,6000,5754,15,20745,15,9038,14,1532,1544,3550,4765,3210,4759,172,2482,766,4759,14,2178,2198,15,2089,2198,1173,2650,3691,2069,14,1962,2650,3691,2069,14,1173,875,3691,2069,14,1173,2650,3691,3370,874,3283,2178,2198,3691,173 |
23,5380,1795,387,1635,4860,15,2485,328,586,4382,3579,3804,2089,2459,2089,1615,3331,1553,910,4542,875,1333,4939,3145,2892,3110,363,3352,335,1066,15,1184,1184,23,5380,1184,1184,2890,14,1728,1621,703,2410,4393,3110,2121,5245,2959,1073,3148,1347,541,1735,14,1246,1239,3822 |
2111,2973,1821,2198,1351,1812,3352,2121,285,2414,322,2049,3695,4677,4448,1343,693,3110,1591,2040,1097,2146,3719,25474,1562,3031,5234,1329,2121,1321,3028,2275,1048,3246,374,3110,810,2099,4555,4236,1543,864,5234,2121,1321,2275,3391,2978,926,2049,1513,2049,1321,3110,3293,732,1591,2040,1543,864,5234,2121,1347,2959,684,1754,684,303,2308,1749,3110,4481,1562,3031,1543,864,5234,322,1513,3028,1968,480,356,2049,3695,2049,1321,14,3028,2581,2180,730,14,2062,766,1273,335,3110,285,3345,1599,505,1710,2180,730,173 |
4936,1456,4779,1372,787,172,1173,875,3691,2069,172,1962,2650,3691,2069 |
4362,3255,5059,4546,5227,5227 |
8055,32444,7966,23327,5338,5276,5899,19812,21500,5259,6738,15,6211,8525,16,17998,5408,5859,5264,12435,6379,40,8719,12675,5261,6770,5308,33,6155,21313,5264,31387,13474,5431,7759,14,6017,6670,8279,14,7966,5260,5264,17520,5320,14,12073,18616,14,5264,5774,3 |
21104,5264,5997,22889,15,31931,5285,9,58,6672,19002,5373,9778,22889,5264,14673,5266,16,19829,31865,15,5859,9295,5264,19129,14673,5266,9295,16,17166,7562,14,25564,14,18746,14,32031,8237,5260,14,6189,5707,14,5264,31789,10338,11430,15,19758,15,19797,5847 |
19160,5264,7003,7449,5337,6588,8776,5474,6316,14,21984,10554,67,7449,15454,7361,15,6588,8776,5474,6316,14,21984,10554,16,7003,6406,3 |
30793,5267,10282,7823,9861,5261,5503,7123,5528,16051,11296,11825,5310,9861,28853,28011,5528,16,5358,16,5318,18636,9384,5267,10282,11825,5310,5258,9,8001,5748,11296,9,6440,14,7026,5855,19401,5293,5258,16051,11296,7026,10715,7449,5259,8086,16 |
14078,16664,1381,1741,3771,725,1984,3613,874,3302,573,4349,3110,548,2,172,1361,943,172,1361,4918,839,5026,943,5234,597,2080,448,2815,4989,1351,1826,4560,3784,4588,3110,1361,1430,3028,2581,173,4798,1509,4575,1510,2674,343,2078,3046,5234,376,4166,2178,3485,291,971,1564,5234,1795,2815,2176,952,2169,863,3133,380,1177,4971,573,1741,173 |
7003,7647,14959,9378,15994,5744,7449,5337,26598,19739,14,6751,7647,14959,5259,7342,21854,6059,14,5570 |
17010,5378,23280,6305,7321,11112,25132,6778,7530,14643,13958,33,5771,5394,10790,5290,18169,5260,7007,28,26954,24691,7381,14,6154,5257,10418,14,9864,5615,5257,10096,14,17561,5268,14,26677,14,10969,5993,14,16,16,16 |
4848,3208,2111,2035,406,2121,4848,3208,600,870,2088,292,3110,586,3384,3523,2035,406,377,943,5234,1335,3616,4154,637,2035,406,4895,5013,5234,285,3345,1599,1956,595,2035,406,1346,5234,1656,505,5234,4362,406,4555,5234,56,6316,4742,763,14,1656,505,6189,5518,5234,1527,733,1591,844,3643,1675,4559,4900,1795,692,3768,1502,3140,1562,377,943,5234,2043,2948,5111,5234,4145,2043,1675,5234,4382,2948,449,5227 |
5293,8163,15,6636,53,18931,8324,5275,11595,30201,5773,14,14765,6662,5422,21602,32632,14,22017,5260,5,28473,6026,24433,6148,14,5276,40,6,24890,14,5396,24,13819,21,16,19,6211,5378,10051,8621,10,20,15,22,11,9419,16,9647,12390,16325,8013,8543,5958,16,16,16 |
471,3031,5361,16,5358,350,794,1113,880,173,844,1951,2056,410,3108,288,4227,3110,863,480,666,965,1113,880,173,5361,16,5358,1860,1728,374,2111,1333,597,173 |
2936,935,3246,775,2121,597,3602,2175,1183,3110,1795,387,3246,775,5234,2627,3127,3185,4149,5010,5234,5319,4149,5010,5234,732,2735,5234,1407,4274,5234,2354,655,505,1710,5234,1176,1053,1214,2115,5234,597,1055,3321,4856,5234,586,4382,1069,3539,3523 |
1844,2175,1219,2955,3110,2321,2894,2677,1794,5234,1417,2215,6291,3024,2145,2677,1794,1183,819,173,2955,2321,2894,2677,1794,5234,4401,2607,4677,4678,1508,5234,2169,1177,1341,2080,2581,732,2788,2831,4525,4072,316,173,6291,3024,2145,2677,1794,1183,819,2121,1055,616,2175,2202,1261,3110,426,4820,2677,1794,292,4483,316,1663,5234,1933,5131,2677,1794,5234,2321,2894,2677,1794,3370,426,4820,2677,1794,1562,2178,1424,2178,5234,3556,462,293,285,2278,3110,2677,1794,453,5097,173 |
4497,4900,1509,2567,477,4517,2717,1028,2207,2178,4857,600,870,2121,297,2556,361,5111,943,4368,2717,2655,1028,3110,3196,844,294,3028,377,3110,297,303,2198,2226,16,3040,4262,5245,29943,5754,15,27675,6131,5994,28012,6148 |
3367,285,4362,3550,1341,2080,3602,3345,5234,25,5707,20738,1407,2099,1968,480,3688,1509,4072,1735,172,3550,2592,1183,741,172,4678,4053,2041,3377,172,4072,303,732,1681,172,297,1361,673,2229,3370,4362,3550,4390,4236,5246,597,3602,2923,1361,3139,2009,4285,3688,4242,4678,172,395,2091,3688,1509,172,600,870,294,4072,303,172,4154,3192,4362,971,172,1191,3727,5021,2159,3370,3367,285,4362,3550,3040,4149,3809,3136,173 |
4470,3756,4607,2509,4470,3284,1846,1341,3602 |
16670,7449,5376,17,25,7139,7179,5318,10282,30511,12488,7481,7976,6901,23282,9200,6683,5301,7496,7481,25472,25251,5710,5536,14234,5577,6,5515,18636,20677,8223,5289,9,6281,5259,18081,13092,9243,19296,18996,16670,6406,5643,59,15,27179,16670,6406,7105,24314,5383,7,6425,16670,6406,12984,22446,8163,8163,13469,5259,28,5904,43,5793,47,6218,52,5341,58,24775,9194,22017,11887,7430,5260,7544 |
15997,6631,10607,11453,15,6117,24335,7117,6205,5272,7796,13156,10159,44,11061 |
1968,480,586,4382,3110,1361,4101,172,1495,4101,3370,874,3414,1815,1433,4101,509,4245,4227,2080,2289,14,586,4382,291,4813,4677,1815,2180,730,14,4130,4101,509,14,1417,291,4853,4129,834,3641,1815,4101,509,173 |
11837,26295,5846,31576,5371 |
1984,2919,1984,3455 |
15,2745,1079,2558,2567,2958,502,2484,1170,2978,4245,1171,2178,4857,600,870,448,361,3616,325,3110,300,3046,5021,3379,4634,2,2,2745,1079,5234,600,870,3768,5349,1544,1795,3343,410,2215,5234,582,881,3196,693,666,1177,2414,2558,2567,2894,285,453,766,2500,2484,172,643,2484,1170,2978,4245,1171,5234,874,3283,4644,3609,729,3875,4101,3609,172,3585,4673,2611,2459,1028,172,2408,2482,4660,4733,844,3028,1028,172,360,2479,766,2482,844,3028,1028,172,2472,2605,2198,172,4517,2717,1028,3370,3442,680,377,943,5234,847,692,2078,3641,3031,1812,839,303,3046,3110,1553,2550,1219,4249,173 |
49,5523,2461,4398,5234,2121,597,2470,1273,335,3110,297,303,2321,2894,1069,3539,3346,1846,1543,864,14,5059,684,3346,1846,2461,4398,2383,1599,14,586,4382,4401,1205,943,173,1968,480,2068,1071,323,14,5189,1399,14,1042,1055,627,2321,14,4313,2321,14,782,3524,3370,2321,2894,2677,1794,5234,879,2099,4523,2178,1933,5131,14,3911,2976,14,3435,2233,4528,4528,2611,3370,426,4820,2677,1794,173,410,3346,1846,322,2279,1663,5234,4555,4517,3542,3545,2461,4398,3110,1625,1599,5234,4232,1728,1069,3456,1607,697,2766,316,380,847,2677,1794,3110,335,4416,173 |
16137,28191,5259,12364,11814,12010,6738,7569,16488,14,8793,8948,5831,14,5264,11601,20836,5258,11504,5267,25763,15391,14,11404,25370,27855,6015,14,5264,10225,11601,18328,5447,28507,5267,5552,13614,17200,16,5607,6440,5286,7380,14859,5293,10006,5269,15,22717,11404,5831,16 |
17166,7058,5259,58,19499,5288,5606,17694,5876,17166,5264,20905,5312,5971,16 |
291,5051,1509,953,3815,3413,1635,4149,1028,2207,2178,4857,600,870 |
9837,5310,8001,7299,14,10852,7026,9,6281,14591,13913,5374,10282,5526,16850,5312,5471,6379,14,5259,23492,5493,14,14088,17,19160,5374,40,5322,8205,31913,5298,5466,13864,5267,22646,29,48,5503,16403,5267,18602,7026,17873,10282,7254,9692,9319,5306,12440,7026,5318,20878,6476,5264,10860,6976,5495,7632,5258,7229,9779,5276,18189,16 |
2882,2141,3105,4129,2180,316,1055,5111,3352,4129,2180,943,2894,14,297,2556,5111,3524,4129,2180,3279,387,4228,693,14,421,303,316,5111,2297,4129,2180,14,3663,303,4101,14,4087,4083,14,1495,460,4129,4101,14,1495,460,2180,3370,5111,3352,4129,2180,1343,693,16,1177,1544,3110,4260,505,3550,3916,14,1335,986,3110,965,881,2180,730,14,1343,693,2831,3539,6000,28674,24433,5824,6131,6026 |
666,4405,5062,216,1735,1129,227,1735,1129,279,12057,23542,25962,5674,673,2229,212,6292,172,357,1749,213,1637,3343,209,22645,19428,14288,6133,12106,1432,199,5227,180,211,13259,13763,7147,4134,227,11072,8050,3353,5062,270,12286,9344,181,236,3136,1906,6254,32677,32677,2457,2091,2169,2078,6254,8050,20666,5227 |
5376,17,25,5267,12266,5264,16035,7156,14950,6823 |
1445,305,4533,2603,3646,3236,3391,4579,3688,419,2178,4857,600,870,2121,285,1361,297,303,398,359,4411,5111,673,1308,4677,3667,342,2832,3442,680,377,943,3196,844,172,3028,377,172,4765,965,5234,1545,1069,2078,290,2224,1905,2894,291,1509,3110,5111,2078,1846,2194,421,303,173,4533,2603,2894,4411,5111,673,1308,4677,3667,342,2832,3391,2207,1503,3550,1069,1055,616,874,1183,640,4678,172,3191,1445,172,3040,725,172,2851,2809,172,766,1495,3370,421,303,1562,3031,1177,1544,5234,1651,692,875,460,421,303,3110,4229,863,173 |
40,31689,5322,5444,6460,20208,8569,5259,8242,15,13356,22203,10584,6694,5837,9122,8,10040,5275,9346,5704,8161 |
30180,6205,5267,12266,6476,12440,9180,5267,12266,6823,5259,30180,6205,5264,5258,30180,6205,9460,5996,16,6476,5996,8141,30180,6205,5264,13135,5285,8980,5264,48,15,23,14,48,15,5794,14,9946,5557,8,5974,6579,16,6457,11825,6172,5264,6314,9480,5267,12266,6823,6017,7009,5267,12266,14,5399,8439,5267,12266,16 |
19296,6421,16293,6672,5359,6115,9303,7280,5997,16,14,18059,5312,16,14,19045,5259,17985,5264,22268,5374,45,7847,5298,20961,14,8493,5281,46,18074,5493,20961,5264,5774,5706,10465,16 |
841,3993,1361,3279,5170,2682,297,794,1564,3602,291,971,1108,841,3993,1361,3279,5170,2682,297,794,1564,3602,291,971,1108,2423,1599,291,3539,5234,3539,291,4373,2901,5234,3539,292,453,5097,5234,3040,971,3110,417,2281,5234,1347,453,1564,3110,2180,730,5234,291,288,2414,377,943,5234,4232,1553,1183,4998,1351,2179,840,412,1424,1735,4546,4373,5234,417,2281,1347,1741,943,4368,502,4884,965,881,2089,1674 |
30400,5298,48,7118,5560,24156,30400,5298,48,7118,5560,24156,9806,5503,5437,14,5322,31567,18025,5281,5800,9002,5422,9732,9315,5275,16,9901,31135,14639,30001,48,7118,5560,16,5891,11730,5310,17394,5390,40,24156,5299,26610,5422,21958,13692,5275,8928,7224,5283,13509,16,22609,5298,10267,29212,10336,5475,5260,20375,5544,25062,5390,16,30218,5260,40,7701,7350,5312,5623,6010,16,26371,5415,9357,14600,5488,42,15489,7430,17300,5271,11205,7226,8800,9754,6020,5365,5262,26521,16,16112,15134,32432,64,13986,5415,64,5344,7226,7209,5514,5273 |
10270,27613,5318,32002,11825,15229,24743,18347,5318,40,22835,26850,5338,19440,5855,27961,16,10852,24743,5337,5258,5358,11292,5261,10282,6771,6379,5318,32002,5306,10282,6610,5267,8169,18484,7736,7026,6031,5258,8088,5400,5310,10282,6771,14637,5466,21503,16177,5493,5310,5258,16934,5261,10282,6050,29062,14,27613,5431,7759,5337,5536,26357,10730,15,21277,5337,8472,5969,5267,17142 |
2410,2281,2997,5231,1445,305,5232,2958,1143,3284,1846,2178,4857,600,870,297,303,3586,4560,1495,303,2567,643,5234,1495,817,285,3345,1599,2484,3391,1361,2180,730,5234,3196,844,3028,377,1968,4847,1100,699,172,2200,3897,699,3370,1655,2958,2484,1170,2978,766,1321,943,172,3040,766,1321,4862,1100,4101,3609,172,842,2662,4549,3756,4847,1100,699,3370,3756,766,1321,943,5234,600,870,1069,4072,303,616,1890,2178,356,4485,1183,1635,949,5234,582,881,4096,3666,322,316,1055,1495,303,2655,2571,788,430,5231,48,5528,5471,5232,714,2978,359,4797,793,448,5234,316,1055,4768,2801,2484,1170,2978,788,430,5231,42,5554,5818,15475,5232,1532,730,2978,359,793,448,172,316,1055,3432,3544,766,1495,788,430,2978,359,793,448,172,178,2655,2571,300,3046,179,2201,1669,714,2978,359,4797,793,448,172,48,5528,5471,297,1361,1249,913,430,714,323,418,1249,913,793,448,172,48,5528,5471,1495,3296,1249,913,430,714,323,418,1249,913,793,448,172,48,5528,5471,3875,699,1249,913,430,714,323,418,1249,913,793,448,172,48,5528,5471,2655,2571,4101,1171,297,303,1249,913,430,1249,913,793,448,5234,48,5528,5471,1333,597,1495,460,1249,913,430,1249,913,793,448,173,316,1055,766,1495,2082,1495,421,303,788,430,2978,359,793,448,172,316,1055,3756,1495,303,788,430,1045,453,430,913,793,448,172,316,1055,3188,2536,1495,3296,1589,4245,788,430,1045,453,430,913,793,448 |
1796,600,870,3028,377,4753,875,4678,3108,868,3331,14,4771,4734,3108,868,3331,14,1821,732,3108,868,3331,14,3040,732,3108,868,3331,14,4843,864,1860,2270,14,2281,2264,14,3108,868,3331,666,5021,854,14,2611,4963,3108,868,3331,14,3108,868,3331,4644,416,14,3040,732,3108,868,3331,1097,2207,14,3768,1094,3108,868,3331,14,3108,868,3331,3321,4283,3607,14,1537,1149,4753,793,2224,14,3108,868,3331,1097,2207 |
6738,22906,13975,5353,15997,6631,14714,21069,8124,5293,10282,27078,22715,15,9254 |
23413,11523,5919,7331,5921,15832,5260,5974,10854,14,15980,5320,5264,27290,5260,5293,7286,18266,16,6457,11825,40,8226,5261,10465,5337,5468,21053,16304,5974,10854,5267,5279,16357,5390,27290,5260,5924,5297,14233,6274,8,5997,28161,5260,16,6457,11825,7897,5264,21329,6017,14035,3 |
PC2-NoiseofWeb
This repo releases data introduced in our paper
PC2: Pseudo-Classification Based Pseudo-Captioning for Noisy Correspondence Learning in Cross-Modal Retrieval
Authors: Yue Duan, Zhangxuan Gu, Zhenzhe Ying, Lei Qi, Changhua Meng and Yinghuan Shi
Quick links: [arXiv (coming soon) | Published paper (coming soon) | Poster (coming soon) | Zhihu (coming soon) | Code download | Dataset download]
Data Collection
We develop a new dataset named Noise of Web (NoW) for NCL. It contains 100K website image-meta description pairs (98,000 pairs for training, 1,000 for validation, and 1,000 for testing), which are open-sourced and can be crawled by anyone. NoW has two main characteristics: without human annotations and the noisy pairs are naturally captured. The source data of NoW is obtained by taking screenshots when accessing web pages on mobile devices (resolution: 720 $\times$ 1280) and parsing meta descriptions in html source code. In NCR (predecessor of NCL), each image in all datasets were preprocessed using Faster-RCNN detector provided by Bottom-up Attention Model to generate 36 region proposals, and each proposal was encoded as a 2048-dimensional feature. Thus, following NCR, we release our the features instead of raw images for fair comparison. However, we can not just use detection methods like Faster-RCNN to extract image features since it is trained on real-world animals and objects on MS-COCO. To tackle this, we adapt APT as the detection model since it is trained on the mobile user interface data. Similar to existing datasets, we capture top 36 objects with their features for one image, that is, we can encode one image into a 36 $\times$ 768 matrix. We do not artificially control the noise ratio, as all data is obtained automatically and randomly over the web. The estimated noise ratio of this dataset is nearly 70%. Due to the automated and non-human curated data collection process, the noise in NoW is highly authentic and intrinsic.
Data Structure
|-- h5100k_precomp
| |-- dev_caps_bpe.txt
| |-- dev_caps_bert.txt
| |-- dev_ids.txt
| |-- dev_ims.npy
| |-- test_caps_bpe.txt
| |-- test_caps_bert.txt
| |-- test_ids.txt
| |-- test_ims.npy
| |-- train_caps_bpe.txt
| |-- train_caps_bert.txt
| |-- train_ids.txt
| |-- train_ims.npy
|-- vocab
| |-- now100k_precomp_vocab_bert.json
| |-- now100k_precomp_vocab_bpe.json
| |-- now100k_precomp_vocab_jieba.json
Please note that since our raw data contains some sensitive business data, we only provide the encoded image features (*_ims.npy) and the token ids of the text tokenized. For tokenizer, we use both Tokenizers with BPE to produce *_caps_bpe.txt and BertTokenizer with bert-base-multilingual-cased pre-trained model to produce *_caps_bert.txt. Our vocabulary size of BPE tokenizer is 10,000 and that of BertTokenizer is 32702. *_ids.txt records the serial number of the data in the original 500k dataset. In the future, we may process and make the original dataset public.
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