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Datasets:
mesolitica
/
google-image-malaysian-vehicle-dedup

Tasks:
Image Feature Extraction
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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 2 new columns ({'shards', 'version'}) and 4 missing columns ({'filename', 'keyword', 'no', 'selected_indices'}).

This happened while the json dataset builder was generating data using

hf://datasets/mesolitica/google-image-malaysian-vehicle-dedup/embedding/index.json (at revision 1d7593833f702dffc25e6c5b9907db1a4a1685e3)

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              shards: list<item: struct<column_encodings: list<item: string>, column_names: list<item: string>, column_sizes: list<item: int64>, compression: null, format: string, hashes: list<item: string>, raw_data: struct<basename: string, bytes: int64, hashes: struct<sha1: string, xxh64: string>>, samples: int64, size_limit: int64, version: int64, zip_data: null>>
                child 0, item: struct<column_encodings: list<item: string>, column_names: list<item: string>, column_sizes: list<item: int64>, compression: null, format: string, hashes: list<item: string>, raw_data: struct<basename: string, bytes: int64, hashes: struct<sha1: string, xxh64: string>>, samples: int64, size_limit: int64, version: int64, zip_data: null>
                    child 0, column_encodings: list<item: string>
                        child 0, item: string
                    child 1, column_names: list<item: string>
                        child 0, item: string
                    child 2, column_sizes: list<item: int64>
                        child 0, item: int64
                    child 3, compression: null
                    child 4, format: string
                    child 5, hashes: list<item: string>
                        child 0, item: string
                    child 6, raw_data: struct<basename: string, bytes: int64, hashes: struct<sha1: string, xxh64: string>>
                        child 0, basename: string
                        child 1, bytes: int64
                        child 2, hashes: struct<sha1: string, xxh64: string>
                            child 0, sha1: string
                            child 1, xxh64: string
                    child 7, samples: int64
                    child 8, size_limit: int64
                    child 9, version: int64
                    child 10, zip_data: null
              version: int64
              to
              {'filename': Value(dtype='string', id=None), 'keyword': Value(dtype='string', id=None), 'no': Value(dtype='int64', id=None), 'selected_indices': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None)}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1319, in compute_config_parquet_and_info_response
                  parquet_operations, partial = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 912, in stream_convert_to_parquet
                  builder._prepare_split(
                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 2013, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 2 new columns ({'shards', 'version'}) and 4 missing columns ({'filename', 'keyword', 'no', 'selected_indices'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/mesolitica/google-image-malaysian-vehicle-dedup/embedding/index.json (at revision 1d7593833f702dffc25e6c5b9907db1a4a1685e3)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

filename
string
keyword
string
no
int64
selected_indices
sequence
train-00066-of-00165-2b1bb4f1aa2951fa.parquet
2023 Mazda CX-30 2.0G 2WD Standard
1
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train-00092-of-00165-f436539793cce3e1.parquet
2019 Mazda 3 Liftback 2.0 SkyActiv High Plus
0
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train-00116-of-00165-8becd986216270c0.parquet
2019 Subaru XV 2.0i
9
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train-00128-of-00165-05b6fa986304da6b.parquet
2019 Audi A3 Sedan 1.4 TFSI
9
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train-00123-of-00165-8d5bb2f686cbf4fe.parquet
2018 Subaru Forester 2.0 XT
2
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train-00079-of-00165-804c418d8e72121d.parquet
2014 Maxus V80 2.5L Bas Pekerja Window Van 12 Seater
4
[ 1597, 1603, 1604, 1606, 1611, 1615, 1620, 1621, 1624, 1626, 1629, 1630, 1633 ]
train-00014-of-00165-789866a6b0234018.parquet
2018 Honda Civic Type R 6MT
9
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train-00012-of-00165-4caae46f82d4ae4f.parquet
2022 Honda City 1.5V Sensing
8
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train-00163-of-00165-e041ed9e50a05f5a.parquet
Ducati Scrambler 1100 Special
6
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train-00008-of-00165-71d5b43d5f5d8677.parquet
2020 Volkswagen Passat 2.0TSI United
3
[ 274, 277, 288, 290, 294, 295, 297, 317, 319, 320, 325, 328, 335, 342, 347, 348, 358, 373, 379, 382, 391, 393, 396, 400, 402, 410, 415, 424, 426, 429, 435, 437, 440, 441, 442, 444, 445, 454, 460, 461, 462, 470, 473, 479, 481 ]
train-00057-of-00165-287af72a94f92150.parquet
2018 Hyundai Elantra 2.0 Executive
8
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train-00009-of-00165-ba0f5a2e78145945.parquet
2018 Volvo S90 T8 Twin Engine Inscription
3
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train-00008-of-00165-71d5b43d5f5d8677.parquet
2020 Ferrari 812 GTS
13
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train-00005-of-00165-762019a7a3edb04f.parquet
2021 Isuzu D-Max 3.0 4x4 Single Cab MT
5
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train-00102-of-00165-79b6ec554ea74c93.parquet
2020 Volkswagen Tiguan Allspace 2.0TSI R-Line
5
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train-00153-of-00165-6fdd1a0eb2ad7149.parquet
Ducati Scrambler Cafe Racer
5
[ 2822, 2856, 2893, 2924, 2933, 2948, 2956, 2964, 2965, 2970, 2977, 2987, 2993, 2995, 3007, 3023, 3024, 3029, 3037, 3055, 3063, 3064, 3065, 3066, 3074, 3076, 3077, 3080, 3088, 3097, 3117, 3132, 3136, 3142, 3143, 3146, 3147 ]
train-00162-of-00165-e34afb71195469ab.parquet
Kawasaki D-Tracker X (2012)
4
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train-00079-of-00165-804c418d8e72121d.parquet
2021 Hyundai Kona Electric e-Plus
1
[ 267, 284, 316, 317, 319, 341, 344, 347, 352, 357, 358, 360, 371, 374, 379, 380, 386, 387, 408, 419, 421, 427, 428, 439, 468, 478, 504, 510, 518, 521, 534, 542, 545, 548, 561, 565, 571, 572, 576, 584, 588, 596, 597, 601, 606, 627, 648, 653, 657, 661, 666, 674, 689, 698, 701, 708 ]
train-00071-of-00165-cd97116be6f4c2f7.parquet
2019 Alfa Romeo Giulia Super
4
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train-00100-of-00165-3f0489c94efca24a.parquet
2023 Kia Sorento 2.2D AWD 6-seater
4
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train-00045-of-00165-e052e26ae36e7a24.parquet
2020 Proton X50 1.5T Standard
0
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train-00018-of-00165-ccd42703b47cc730.parquet
2022 Mazda CX-30 1.8D High 2WD
15
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train-00137-of-00165-0c71ad2d7a175908.parquet
2021 Perodua Aruz 1.5 X
5
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train-00147-of-00165-393641d4135d5290.parquet
Honda Future FI (2016)
2
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train-00021-of-00165-e58551276e987310.parquet
2020 Perodua Bezza 1.3 AV (A)
5
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train-00025-of-00165-9d8418fd07ba7373.parquet
2018 Isuzu MU-X 2.5L 4x2 AT
1
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train-00156-of-00165-34dbf15fe34b8bf4.parquet
Modenas Dominar D400 (2021)
8
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train-00159-of-00165-bb7a0ade669dcd9e.parquet
Aprilia RSV4 RF (2017)
0
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train-00128-of-00165-05b6fa986304da6b.parquet
2021 BMW iX xDrive40
0
[ 0, 6, 8, 9, 16, 17, 19, 27, 29, 32, 33, 36, 38, 47, 50, 56, 67, 69, 75, 78, 79, 86, 91, 93, 102, 107, 110, 116, 156, 171, 173, 181, 186, 188, 189, 204, 206, 209, 210, 213, 217, 243, 250, 259, 262, 272 ]
train-00051-of-00165-4301ece490767ee2.parquet
2023 Mazda 3 Sedan 2.0 High Plus
4
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train-00163-of-00165-e041ed9e50a05f5a.parquet
Demak Evo ZR 110
8
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train-00075-of-00165-c0ebcc169b1f62d2.parquet
2021 Porsche Taycan 4 Cross Turismo
1
[ 155, 181, 212, 218, 229, 230, 235, 274, 283, 289, 294, 303, 348, 355, 362, 375, 401, 405, 406, 407, 408, 425, 430, 451, 461, 488, 506, 521, 539, 544, 555, 562, 568, 572, 574, 622, 623, 642, 647, 655, 656, 661, 677, 680, 684 ]
train-00073-of-00165-37ca4d8e1fcd5b35.parquet
2022 Mercedes-Benz EQB Upcoming Version
6
[ 2546, 2564, 2584, 2592, 2674, 2693, 2698, 2720, 2770, 2787, 2793, 2822, 2839, 2845, 2856, 2867, 2879, 2885, 2891, 2892, 2897, 2918, 2949, 2958, 2959 ]
train-00037-of-00165-d2575263856f0abd.parquet
2020 Volkswagen Vento 1.2TSI Highline
6
[ 2416, 2421, 2434, 2440, 2442, 2474, 2490, 2507, 2508, 2517, 2520, 2527, 2545, 2581, 2585, 2604, 2608, 2617, 2634, 2658, 2661, 2664, 2668, 2672, 2675, 2683, 2690, 2692, 2704, 2708, 2710, 2722, 2743, 2769, 2798, 2803, 2826 ]
train-00016-of-00165-af424723a35670a4.parquet
2017 Land Rover Range Rover Sport V6 3.0 Supercharged HSE
10
[ 2439, 2453, 2468, 2484, 2492, 2498, 2515, 2517, 2541, 2549, 2552, 2554 ]
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2015 Proton Satria Neo R3 AT
10
[ 3933, 3940, 3942, 3955, 3957, 3962, 3964, 3969, 3974, 3975, 3977, 3983, 3985, 3991, 3995, 3997, 4000, 4016, 4022, 4026, 4028, 4030, 4033, 4034, 4039, 4040, 4048, 4050, 4051, 4052, 4069, 4075, 4077, 4080, 4081, 4082, 4103, 4106, 4108, 4113, 4115, 4119, 4135, 4136, 4140, 4143, 4152, 4157, 4159, 4162, 4164, 4167, 4169, 4177, 4188, 4191, 4193, 4194, 4200, 4211, 4212, 4219, 4222, 4225, 4230, 4233, 4237, 4242, 4246, 4253, 4254, 4255, 4256, 4257, 4261, 4264, 4265, 4270, 4277, 4278, 4279, 4286, 4292, 4293, 4296, 4306, 4308, 4310, 4311, 4317, 4323, 4327, 4332, 4333, 4336, 4338, 4340, 4346, 4348, 4353, 4354, 4355, 4357, 4362, 4372, 4373, 4374, 4376, 4382, 4383, 4389, 4392, 4393, 4394, 4396, 4399, 4408, 4411, 4413, 4414, 4419, 4421, 4422, 4423, 4426, 4428, 4433, 4438, 4443, 4449, 4451, 4452, 4459, 4465, 4471, 4472, 4476, 4477, 4480, 4481, 4485, 4488, 4490, 4491, 4493, 4497, 4502, 4506 ]
train-00140-of-00165-a93702a95e36e26a.parquet
2019 Porsche 911 911 Speedster
3
[ 1469, 1475, 1485, 1487, 1504, 1532, 1542, 1574, 1580, 1604, 1612, 1631, 1640, 1644, 1659, 1665, 1666, 1687, 1698, 1706, 1765, 1766, 1769, 1772, 1800, 1804, 1805, 1821, 1830, 1833, 1834, 1840, 1859, 1860, 1861, 1864, 1865, 1871, 1874, 1896, 1915, 1932, 1952, 1961, 1983, 1999, 2033 ]
train-00100-of-00165-3f0489c94efca24a.parquet
2020 Ferrari F8 Tributo 3.9L
2
[ 592, 606, 642, 647, 675, 688, 700, 710, 717, 735, 738, 743, 752, 776, 831, 845, 878, 896, 899, 900, 902, 942, 955, 964, 983, 990, 997, 1004, 1044, 1056, 1060, 1068, 1087, 1088 ]
train-00074-of-00165-3247e8c58b07238e.parquet
2019 Chery Arrizo 3 1.5MT
7
[ 2955, 2960, 2962, 2966, 2968, 2971, 2974, 2976, 2977, 2979, 2980, 2984, 2987, 2989, 2990, 2994, 3006, 3007, 3012, 3014, 3017, 3019, 3020, 3022, 3027, 3028, 3034, 3044, 3045, 3050, 3053, 3054, 3056, 3058, 3063, 3075, 3079, 3082, 3087, 3090, 3091, 3099, 3104, 3106, 3107, 3113, 3114, 3116, 3118, 3125, 3129, 3135, 3137, 3138, 3141, 3146, 3148, 3151, 3154, 3157, 3160, 3163, 3165 ]
train-00010-of-00165-0664c19cc22aed22.parquet
2022 Porsche Macan
2
[ 476, 480, 484, 485, 509, 530, 532, 557, 570, 572, 585 ]
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2018 Ford Ranger 2.2 XLT 4x4 (M)
4
[ 1861, 1876, 1878, 1879, 1884, 1886, 1889, 1902, 1903, 1906, 1912, 1921, 1925, 1927, 1949, 1964, 1986, 1987, 2007, 2024, 2038, 2061, 2063, 2070, 2073, 2096, 2101, 2106, 2117, 2138, 2141, 2152, 2170, 2172, 2174, 2180, 2207, 2208, 2224, 2230, 2274, 2284, 2313, 2318, 2332, 2339, 2360, 2378, 2389, 2404, 2452, 2487, 2510, 2519, 2537 ]
train-00136-of-00165-cad6206e30df9736.parquet
2019 Renault Megane RS 280 Cup EDC Auto
1
[ 50, 61, 75, 82, 84, 92, 93, 108, 112, 117, 118, 120, 121, 133, 169, 170, 176, 186, 195, 196, 208, 213, 232, 238, 242, 244, 253, 255, 261, 268, 280, 288, 293, 310, 320, 324, 332, 337, 342, 348, 355, 356, 358, 363, 364, 371, 378 ]
train-00103-of-00165-bd9bfc40702eca93.parquet
2019 Porsche Cayenne Turbo
4
[ 1752, 1769, 1784, 1896, 1904, 1915, 1927, 1961, 1995, 1999, 2033, 2071, 2088, 2111, 2116, 2146, 2155, 2164, 2169, 2218, 2249, 2258, 2275, 2277, 2288, 2289, 2293, 2346, 2354, 2360, 2376, 2381, 2384, 2397 ]
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2021 Toyota Fortuner 2.7 SRZ AT 4x4
10
[ 4654, 4669, 4678, 4693, 4704 ]
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2020 Nissan Sylphy International Version
6
[ 2384, 2388, 2392, 2399, 2402, 2414, 2416, 2421, 2425, 2440, 2447, 2448, 2461, 2479, 2480, 2494, 2497, 2503, 2505, 2506, 2513, 2522, 2523, 2527, 2540, 2543, 2546, 2552, 2560, 2562, 2564, 2572, 2575, 2576, 2592, 2600, 2603, 2618, 2620, 2621, 2630, 2638, 2641, 2647, 2648, 2649, 2654, 2655, 2657, 2662, 2663, 2677, 2678, 2680, 2681, 2688, 2696, 2697, 2698, 2711, 2715, 2716, 2721, 2722, 2724, 2726, 2727, 2728, 2732, 2735, 2742, 2759, 2760, 2761, 2764, 2770, 2771, 2786, 2789, 2793, 2799, 2803, 2804, 2807, 2809, 2816, 2817, 2818, 2825, 2827, 2837, 2840, 2845, 2853, 2858, 2860, 2861, 2865, 2872, 2873, 2877, 2878, 2882, 2883, 2888, 2890 ]
train-00150-of-00165-f3591c2480ef87af.parquet
Suzuki Raider R150Fi (2022)
0
[ 0, 1, 3, 4, 7, 8, 10, 11, 12, 14, 15, 16, 39, 40, 41, 43, 54, 59, 63, 68, 75, 86, 88, 90, 101, 111, 121, 128, 129, 135, 136, 137, 141, 142, 144, 145, 147, 166, 168, 172, 175, 176, 182, 192, 194, 197, 198, 199, 202, 204 ]
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2023 Rolls Royce Spectre
9
[ 2908, 2917, 2925, 2938, 2964, 2978, 2995, 2996, 3003, 3009, 3021, 3026, 3038, 3039, 3052, 3075, 3077, 3084, 3086, 3088, 3094, 3100, 3109, 3113, 3120, 3131, 3136, 3137, 3143, 3149, 3156, 3165, 3174, 3183, 3193, 3202, 3203, 3204, 3205 ]
train-00112-of-00165-c40bce3ceeda613a.parquet
2023 Mercedes-Benz EQE AMG 53 4MATIC+
6
[ 2420, 2425, 2449, 2459, 2468, 2475, 2487, 2507, 2515, 2530, 2543, 2565, 2570, 2588, 2596, 2622, 2627, 2658, 2659, 2690, 2700, 2702, 2751, 2752, 2763, 2780, 2804, 2823, 2831, 2845, 2879, 2891, 2916, 2923, 2925 ]
train-00064-of-00165-9b9d2d479eefe497.parquet
2020 Geely Hao Yue 1.8TD+7DCT
12
[ 4525, 4529, 4535, 4539, 4543, 4554 ]
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2021 Proton Persona 1.6 Standard CVT
4
[ 1515, 1520, 1528, 1530, 1539, 1546, 1547, 1548, 1549, 1550, 1553, 1560, 1562, 1565, 1570, 1576, 1581, 1586, 1588, 1589, 1592, 1596, 1597, 1605, 1607, 1610, 1613, 1617, 1628, 1637, 1641, 1648, 1658, 1661, 1668, 1682, 1684, 1689, 1690, 1692, 1706, 1707, 1732, 1740, 1755, 1758, 1783, 1791, 1799, 1803, 1816, 1824, 1836, 1843, 1850, 1872, 1876, 1877, 1894, 1896, 1901, 1912, 1916, 1920, 1922, 1925, 1926, 1928, 1930, 1932, 1933, 1935, 1939, 1941, 1943, 1948, 1950, 1951, 1958, 1965, 1967, 1974, 1977 ]
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2021 Porsche Taycan RWD (Performance Battery Plus)
5
[ 1871, 1877, 1886, 1888, 1922, 1979, 1984, 2002, 2003, 2009, 2032, 2036, 2048, 2049, 2087, 2089, 2092, 2107, 2118, 2126, 2127, 2132, 2135, 2142, 2165, 2175, 2209, 2227, 2230, 2237, 2239, 2249, 2253, 2264, 2281, 2284, 2299, 2306, 2309, 2327, 2328, 2339, 2351, 2356, 2369, 2379, 2381, 2382, 2386, 2391, 2397, 2401, 2402 ]
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2018 MINI 3 Door Cooper S
2
[ 303, 319, 333, 335, 336, 375, 387, 403, 425, 466, 477, 486, 499, 508, 512, 520, 527, 557, 566, 571, 588, 597, 616, 627, 637, 641, 654, 657, 658, 667, 705, 707, 724, 732, 733, 741, 748, 760, 762, 773, 805, 834, 837, 845, 851, 855, 865, 866, 869, 885 ]
train-00091-of-00165-8b886ba46c8e6d00.parquet
2006 Toyota Estima 3.5L G-package
2
[ 956, 975, 976, 977, 978, 992, 1000, 1012, 1018, 1022, 1033, 1040, 1043, 1044, 1047, 1053, 1058, 1060, 1079, 1085, 1092, 1096, 1097, 1101, 1105, 1109, 1117, 1130, 1132, 1133, 1140, 1148, 1151, 1154, 1159, 1162, 1172, 1173, 1180, 1185, 1188, 1191, 1195, 1201, 1206, 1207, 1210, 1213, 1217, 1218, 1220, 1221, 1226, 1230, 1235, 1237, 1242, 1247, 1249, 1253 ]
train-00159-of-00165-bb7a0ade669dcd9e.parquet
Yamaha Y16ZR (2021)
8
[ 3483, 3486, 3498, 3502, 3506, 3510, 3517, 3519, 3530, 3532, 3533, 3540, 3552, 3554, 3561, 3568, 3576, 3577, 3579, 3586, 3624, 3641, 3646, 3679, 3681, 3683, 3692, 3696, 3698, 3701, 3703, 3704, 3705, 3709, 3712, 3714, 3723, 3726, 3727, 3740, 3742, 3745, 3753, 3757, 3764, 3779, 3781, 3798, 3801, 3802, 3803, 3809, 3810, 3816, 3817, 3820, 3823, 3826, 3829, 3843, 3849, 3853, 3866, 3872, 3873, 3875, 3879, 3880, 3883, 3890, 3895, 3900 ]
train-00051-of-00165-4301ece490767ee2.parquet
2023 Jaguar I‑PACE Black LE
1
[ 505, 530, 547, 551, 584, 586, 596, 620, 624, 635, 640, 642, 645, 648, 653, 663, 664, 674, 675, 680, 683, 684, 686, 687, 691, 694, 695, 709, 712, 719, 723, 725, 728, 731, 735, 736, 738, 739, 741, 761, 766, 767, 768, 769, 770, 774, 781, 796, 797, 805, 814, 820, 823, 839, 840, 841, 846, 852, 858, 862, 872, 873, 904, 922, 943, 956, 959, 965, 971, 976, 985, 990, 994, 1001, 1008 ]
train-00016-of-00165-af424723a35670a4.parquet
2019 Isuzu D-MAX 1.9L 4x2 MT Hi-Ride
11
[ 2561, 2566, 2574, 2575, 2576, 2577, 2584, 2586, 2590, 2596, 2598, 2612, 2613, 2624, 2633, 2635, 2640, 2656, 2663, 2671, 2677, 2699, 2707, 2720, 2725, 2730, 2739, 2758, 2766, 2777, 2795 ]
train-00004-of-00165-b1fe8726dc6944e4.parquet
2021 Porsche Taycan 4S Cross Turismo
7
[ 1278, 1302, 1318, 1325, 1339, 1343, 1344, 1351, 1353, 1360, 1370, 1378, 1391, 1395, 1427, 1428, 1430, 1454, 1468, 1473, 1474, 1483, 1484, 1489, 1498, 1504, 1518, 1532, 1534, 1535, 1553, 1574, 1603, 1610, 1617, 1628, 1632, 1637, 1643, 1645, 1646, 1654, 1656, 1668, 1675, 1676, 1678, 1686, 1692, 1693 ]
train-00042-of-00165-d8ab8f96d8a5b06b.parquet
2019 Peugeot 308 GTi
3
[ 1784, 1796, 1798, 1799, 1812, 1821, 1827, 1828, 1838, 1842, 1847, 1862, 1879, 1885, 1887, 1908, 1917, 1920, 1924, 1925, 1932, 1938, 1942, 1945, 1946, 1952, 1969, 1975, 1976, 1978, 1980, 1996, 2000, 2001, 2016, 2025, 2027, 2029, 2040, 2049, 2066, 2069, 2075, 2077, 2092, 2106, 2110, 2115, 2117, 2120, 2127, 2128, 2139, 2141, 2145, 2148, 2153, 2157, 2159, 2166, 2168, 2175, 2176, 2179, 2186, 2197, 2198, 2207, 2210, 2219, 2220, 2224, 2244, 2250, 2251, 2269, 2271, 2277, 2281, 2282, 2287, 2292, 2298, 2299, 2301, 2302, 2306, 2308 ]
train-00051-of-00165-4301ece490767ee2.parquet
2018 Proton Ertiga 1.4 Executive AT
0
[ 0, 5, 8, 9, 16, 20, 23, 28, 39, 46, 51, 52, 53, 57, 78, 84, 91, 96, 108, 113, 114, 119, 148, 159, 176, 186, 195, 220, 233, 244, 247, 249, 257, 272, 276, 280, 292, 298, 307, 320, 324, 330, 338, 351, 355, 358, 376, 384, 391, 402, 404, 415, 424, 429, 451, 495, 503 ]
train-00095-of-00165-f7a7afc77777bc11.parquet
2020 Toyota Hilux Double Cab 2.8 Rogue AT 4X4
6
[ 2393, 2421, 2435, 2467, 2474, 2478, 2488, 2490, 2491, 2495, 2507, 2527, 2532, 2534, 2548, 2563, 2574, 2603, 2633, 2635, 2639, 2661, 2667, 2695, 2708, 2722, 2724, 2741, 2743, 2744, 2774, 2792, 2815, 2820, 2824, 2864, 2866, 2878, 2905, 2906, 2909, 2918, 2931, 2933, 2935, 2939, 2965, 2975, 2984 ]
train-00134-of-00165-3a06edf0255af7d0.parquet
2019 Geely Emgrand GT 2.4-6AT
3
[ 1520, 1535, 1536, 1539, 1541, 1543, 1544, 1571, 1573, 1576, 1577, 1578, 1579, 1582, 1590, 1592, 1596, 1599, 1601, 1603, 1604, 1605, 1608, 1609, 1613, 1615, 1619, 1621, 1623 ]
train-00041-of-00165-e6756737ade96708.parquet
2021 Isuzu D-Max 1.9 4x4 Premium AT
10
[ 4511, 4534, 4553, 4557, 4564, 4569, 4596, 4619, 4621, 4623, 4633, 4642, 4664, 4670, 4678 ]
train-00018-of-00165-ccd42703b47cc730.parquet
2019 Mazda CX-5 2.0L High SKYACTIV-G
7
[ 2167, 2183, 2198, 2207, 2208, 2211, 2212, 2225, 2238, 2245, 2250, 2262, 2266, 2267, 2271, 2287, 2291, 2295, 2297, 2320, 2321, 2322, 2329, 2339, 2344, 2348, 2349, 2360, 2361, 2364, 2367, 2369, 2370, 2375, 2386, 2389, 2391, 2393, 2401, 2402, 2406, 2408, 2414, 2417, 2421, 2426, 2439, 2442, 2443, 2454, 2459, 2466, 2468, 2475, 2477, 2485, 2496, 2500, 2508, 2519, 2521, 2537, 2544, 2546, 2556, 2575, 2576 ]
train-00016-of-00165-af424723a35670a4.parquet
2018 Peugeot 208 1.2 PureTech
12
[ 2797, 2799, 2801, 2820, 2872, 2880, 2893, 2896, 2897, 2905, 2926, 2933, 2934, 2941, 2948, 2949, 2980, 2994, 3006, 3009, 3024, 3025, 3026, 3036, 3040, 3043, 3044, 3101, 3125, 3127, 3131, 3137, 3154, 3176, 3177, 3183, 3198, 3200, 3209, 3211, 3213, 3241, 3242, 3245 ]
train-00040-of-00165-2174e12be05bb656.parquet
2020 Proton X50 1.5T Premium
6
[ 3007, 3010, 3014, 3021, 3036, 3037, 3044, 3047, 3054, 3072, 3078, 3104, 3107, 3111, 3121, 3124, 3126, 3129, 3135, 3136, 3146, 3153, 3156, 3162, 3166, 3172, 3173, 3179, 3195, 3198, 3205, 3212, 3248, 3251, 3252, 3259, 3261, 3262, 3270, 3277, 3288, 3292, 3293, 3294, 3297, 3310, 3321, 3322, 3331, 3333, 3338, 3341, 3347, 3349, 3361, 3362, 3369, 3372, 3380, 3392, 3400, 3413, 3415, 3419, 3433, 3435, 3437, 3440, 3448, 3451, 3454 ]
train-00017-of-00165-d3d5d5b55e13a12e.parquet
2020 Lexus LC 500
0
[ 0, 5, 8, 10, 13, 15, 20, 26, 27, 45, 50, 51, 59, 70, 78, 81, 85, 88, 90, 94, 109, 112, 115, 120, 134, 141, 143, 147, 151, 155, 157, 171, 181 ]
train-00019-of-00165-863de79ed2a5a012.parquet
2020 Mercedes-Benz AMG C-Class AMG C 43
0
[ 0, 20, 23, 36, 42, 49, 73, 124, 125, 126, 127, 138, 147, 159, 164, 169, 187, 188, 194, 203, 212, 214, 245, 250, 259, 260, 263, 274, 286, 313, 315, 320, 335, 353, 355, 361, 407, 422, 429, 436 ]
train-00126-of-00165-fd7cd857fdda51a5.parquet
2023 Daihatsu Ayla 1.0 X MT
10
[ 3982, 3985, 3997, 4001, 4007, 4015, 4022, 4025, 4030, 4031, 4042, 4044, 4053, 4056, 4058, 4062, 4068, 4071, 4076, 4077, 4081, 4082, 4084, 4095, 4097, 4115, 4128, 4131, 4132, 4133, 4135, 4157, 4165, 4168, 4173, 4189, 4205, 4214, 4219, 4258, 4281, 4313, 4317, 4326, 4335, 4353, 4356, 4378, 4380, 4386, 4394, 4396, 4399, 4407, 4408, 4409, 4415, 4426, 4462, 4476, 4480, 4497, 4508, 4538, 4548, 4555, 4557, 4561, 4575, 4584, 4586, 4588 ]
train-00054-of-00165-c77b066be8699370.parquet
2019 Porsche 911 The New 911 Carrera S
7
[ 3865, 3868, 3879, 3883, 3896, 3897, 3898, 3902, 3907, 3935, 3944, 3953, 3974, 3989, 4042, 4059, 4074, 4127, 4165, 4169, 4176, 4182, 4183, 4188, 4215, 4271, 4272, 4279, 4280, 4283, 4292, 4295, 4308, 4309, 4347, 4374, 4403, 4417, 4427, 4438, 4472, 4473, 4483, 4484, 4486, 4516, 4520, 4538, 4542, 4561, 4583, 4608, 4612, 4614 ]
train-00072-of-00165-430101ba5ee89680.parquet
2020 Hyundai Kona 2.0 Standard
8
[ 4253, 4264, 4270, 4280, 4283, 4289, 4295, 4297, 4307, 4310, 4322, 4331, 4337, 4338, 4339, 4344, 4377, 4394, 4399, 4409, 4411, 4414, 4435, 4448, 4492, 4493, 4500, 4510, 4512, 4520, 4524, 4530, 4531, 4532, 4538, 4566, 4568, 4572, 4586, 4611, 4615, 4616, 4624, 4632, 4633, 4640, 4645, 4650, 4664, 4672, 4675, 4689, 4699, 4702 ]
train-00075-of-00165-c0ebcc169b1f62d2.parquet
2017 Ford Everest 3.2 Titanium AT AWD
3
[ 1415, 1423, 1450, 1451, 1455, 1476, 1486, 1487, 1490, 1499, 1536, 1540, 1544, 1545, 1551, 1554, 1557, 1576, 1579, 1580, 1589, 1597, 1607, 1611, 1613, 1620, 1642, 1670, 1675, 1676, 1684, 1702, 1704, 1720, 1734, 1738, 1741, 1743, 1745, 1779, 1788, 1814, 1816, 1825, 1837, 1854, 1866, 1869, 1874, 1891, 1900, 1913, 1937, 1981, 1985, 1996, 2009, 2019, 2022, 2035, 2038, 2041, 2083, 2087, 2088, 2100, 2104, 2111, 2112, 2117, 2119, 2121, 2124, 2126, 2133, 2137 ]
train-00122-of-00165-d8f793c957ff18af.parquet
2017 Geely Emgrand EV 300
6
[ 3112, 3118, 3122, 3128, 3129, 3135, 3137, 3139, 3159, 3164, 3165, 3169, 3177, 3182, 3189, 3198, 3205, 3207, 3209, 3213, 3222, 3224, 3227, 3229, 3232, 3234, 3238, 3241, 3248, 3250, 3252, 3261, 3264, 3271, 3273, 3275, 3276, 3277, 3283, 3293, 3308, 3312, 3313, 3314, 3315, 3316, 3318, 3322, 3323, 3324, 3325, 3326, 3327, 3331, 3332, 3333, 3337, 3339, 3341, 3342, 3344, 3351, 3353 ]
train-00101-of-00165-ce8dcde6e058f971.parquet
2019 Audi Q5 sport 2.0 TFSI quattro
3
[ 1392, 1402, 1407, 1410, 1446, 1467, 1469, 1471, 1478, 1485, 1507, 1523, 1550, 1564, 1584, 1599, 1601, 1605, 1607, 1611, 1625, 1639, 1643, 1649, 1654, 1657, 1660, 1670, 1678, 1681, 1701, 1702, 1703, 1717, 1738, 1742, 1754, 1785, 1811, 1826, 1890, 1916, 1949, 1984 ]
train-00134-of-00165-3a06edf0255af7d0.parquet
2021 Kia Seltos 1.6EX
6
[ 2767, 2783, 2799, 2806, 2809, 2815, 2836, 2850, 2865, 2872, 2903, 2909, 2913, 2917, 2927, 2932, 2952, 2953, 2966, 2971, 2981, 2982, 2995, 3018, 3026, 3030, 3047, 3064, 3089, 3109, 3118, 3125, 3135, 3177 ]
train-00084-of-00165-18d199716934cba0.parquet
2023 McLaren Senna GTR 4.0L V8
6
[ 2367, 2391, 2411, 2415, 2429, 2430, 2431, 2442, 2446, 2452, 2455, 2470, 2483, 2491, 2501, 2503, 2510, 2514, 2521, 2528, 2537, 2539, 2558, 2582, 2587, 2598, 2605, 2625, 2627, 2631, 2638, 2653, 2655, 2670, 2685, 2686, 2700, 2704, 2713, 2714, 2724, 2725, 2744, 2746, 2753, 2776, 2777, 2779, 2780, 2784, 2797, 2802, 2810, 2820, 2822, 2831, 2836, 2839, 2849, 2851, 2852, 2864, 2865, 2869, 2872, 2900, 2901, 2903 ]
train-00115-of-00165-4b55a77725b8693f.parquet
2023 Nissan Navara 2.5 V Black Edition
2
[ 569, 588, 594, 601, 607, 624, 644, 646, 675, 677, 681, 684, 686, 687, 689, 692, 695, 700, 701, 705, 706, 709, 714, 717, 723, 742, 744, 750, 751, 754, 765, 766, 767, 773, 782, 796, 798, 800, 809, 812, 816, 830, 832, 834, 845, 855, 880, 906, 924, 959, 962, 971, 973, 990, 1002, 1006, 1009, 1018, 1029, 1043, 1048, 1059, 1072, 1076, 1078, 1083, 1089, 1090, 1091, 1093, 1095, 1098 ]
train-00117-of-00165-ecd2a70ad5580edb.parquet
2023 Hyundai Accent 1.6 MPi 6 Speed Manual FF 2WD
5
[ 2695, 2704, 2707, 2711, 2717, 2720, 2730, 2731, 2733 ]
train-00130-of-00165-8d63e5150a80dce1.parquet
2018 Mercedes-Benz AMG GLC 300 Coupe AMG Line
7
[ 2642, 2652, 2660, 2662, 2664, 2665, 2666, 2694, 2697, 2698, 2708, 2715, 2737, 2756, 2757, 2774, 2786, 2807, 2814, 2818, 2822, 2828, 2839, 2844, 2862, 2883, 2895, 2900, 2901, 2902, 2911, 2925, 2957, 2975, 2982, 3004, 3009, 3013, 3026, 3045, 3061, 3064, 3069, 3105, 3135, 3169, 3172, 3182, 3206, 3217, 3227, 3230, 3233, 3235, 3243, 3245, 3249, 3251 ]
train-00020-of-00165-b475c257944f5e4a.parquet
2019 Lexus RX 300 Luxury
4
[ 973, 977, 978, 992, 996, 997, 998, 1004, 1005, 1007, 1014, 1019, 1021, 1027, 1033, 1034, 1037, 1046, 1048, 1051, 1058, 1062, 1076, 1084, 1087, 1091, 1104, 1111, 1116, 1118, 1122, 1124, 1131 ]
train-00061-of-00165-bed699bf0fb8c2c5.parquet
2019 Peugeot 5008 THP Plus Allure
6
[ 2831, 2836, 2838, 2843, 2847, 2853, 2855, 2862, 2868, 2878, 2881, 2886, 2894, 2899, 2919, 2934, 2942, 2958, 2959, 2963, 2965, 2968, 2978, 2981, 2984, 2986, 2993, 2994, 2995, 3002, 3018, 3038, 3044, 3063, 3065, 3067, 3069, 3070, 3074, 3081, 3096, 3105, 3112, 3113, 3117, 3132, 3137, 3141, 3144 ]
train-00078-of-00165-043143f929682d11.parquet
2021 BMW 3 Series 330 Li M Sport
9
[ 4333, 4341, 4351, 4355, 4359, 4373, 4381, 4384, 4398, 4399, 4414, 4421, 4430, 4437, 4438, 4439, 4453, 4478, 4479, 4487, 4490, 4528, 4556, 4563, 4568, 4587, 4588, 4590, 4599, 4600, 4607, 4617, 4628, 4629, 4649, 4662, 4671, 4674, 4675, 4679, 4693, 4695, 4702 ]
train-00038-of-00165-1b816fb47efeec36.parquet
2018 Mercedes-Benz GLC GLC 200
0
[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 13, 15, 16, 18, 22, 31, 32, 33, 34, 40, 42, 47, 51, 57, 60, 76 ]
train-00125-of-00165-d9872cf29bf0f04e.parquet
2019 McLaren 720S Spider
10
[ 4519, 4533, 4551, 4564, 4571, 4604, 4625, 4662, 4669, 4682, 4689 ]
train-00026-of-00165-f9217ef705d57f2f.parquet
2023 Dodge Charger SXT RWD
7
[ 2873, 2929, 2955, 3065, 3154, 3158, 3171, 3173 ]
train-00066-of-00165-2b1bb4f1aa2951fa.parquet
2019 Toyota Vios 1.5E
0
[ 0, 1, 2, 3, 9, 11, 20, 23, 24, 29, 36, 42, 44, 52, 54, 57, 66, 71, 77, 97, 100, 127, 129, 155, 179, 181, 205, 213, 243, 274, 282, 290, 292, 320, 342 ]
train-00011-of-00165-5787b5eec08291a6.parquet
2017 Subaru BRZ 2.0 6AT
12
[ 4043, 4046, 4053, 4063, 4071, 4073, 4076, 4077, 4078, 4080, 4083, 4102, 4109, 4112, 4120, 4124, 4125, 4131, 4142, 4149, 4150, 4155, 4160, 4163, 4168, 4169, 4176, 4192, 4208, 4212, 4213, 4225, 4227, 4235, 4237, 4241, 4244, 4245, 4272, 4300, 4304, 4307, 4310, 4314, 4330, 4341, 4360, 4366, 4367, 4373, 4374, 4376, 4380, 4385, 4395, 4397, 4399, 4407, 4410, 4428, 4439, 4440, 4442, 4449, 4458, 4479, 4482, 4490, 4515, 4526, 4529, 4535, 4550 ]
train-00046-of-00165-eb858bb401c9de7a.parquet
2023 Honda WR-V 1.5 RS
11
[ 4441, 4456, 4480, 4507, 4509, 4515, 4541, 4543, 4544, 4545, 4550, 4551, 4558, 4563, 4581, 4584, 4592, 4613, 4614, 4625, 4627, 4637, 4640, 4653, 4654, 4664, 4670, 4671, 4675, 4680, 4688, 4700, 4702, 4704, 4716 ]
train-00161-of-00165-f516cbd8094c379d.parquet
Honda Wave 125i (2017)
7
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train-00031-of-00165-470a596d9d15c78c.parquet
2019 Citroën C3 AIRCROSS SUV
3
[ 1140, 1147, 1174, 1179, 1180, 1182, 1184, 1208, 1221, 1231, 1256, 1274, 1275, 1288, 1296, 1302, 1303, 1304, 1319, 1330, 1339, 1340, 1345, 1347, 1353, 1385, 1388, 1393, 1394, 1414, 1415, 1426, 1437, 1451, 1457, 1466, 1468, 1472, 1475, 1478, 1499, 1504, 1520, 1539, 1559, 1588 ]
train-00125-of-00165-d9872cf29bf0f04e.parquet
2022 Honda HR-V 1.5 Turbo V
4
[ 1404, 1417, 1419, 1444, 1453, 1468, 1480, 1493, 1497, 1501, 1504, 1512, 1514, 1516, 1535, 1536, 1542, 1558, 1562, 1574, 1579, 1593, 1599, 1605, 1608, 1627, 1633, 1636, 1639, 1643, 1646, 1669, 1683, 1691, 1713, 1715, 1724, 1731, 1734, 1736, 1742, 1759, 1761, 1767, 1772, 1787, 1792, 1796, 1802, 1810, 1811, 1815, 1817, 1824, 1829, 1853, 1859, 1863, 1872, 1885, 1906, 1919, 1920, 1925, 1926, 1933, 1936, 1937, 1942, 1944, 1950, 1951, 1952, 1955, 1956, 1958, 1961, 1970 ]
train-00026-of-00165-f9217ef705d57f2f.parquet
2018 Honda Civic 1.8S
3
[ 1549, 1553, 1557, 1572, 1583, 1593, 1602, 1603, 1605, 1627, 1629, 1631, 1633, 1642, 1646, 1650, 1651, 1687, 1697, 1700, 1707, 1718, 1791, 1795, 1839, 1849, 1863, 1865 ]
train-00148-of-00165-2d004beb2ab5fe2d.parquet
Kawasaki Z900RS (2018)
11
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train-00147-of-00165-393641d4135d5290.parquet
Moto Guzzi MGX-21 (2019)
5
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train-00122-of-00165-d8f793c957ff18af.parquet
2019 Mazda 3 Liftback 1.5 SkyActiv
3
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train-00122-of-00165-d8f793c957ff18af.parquet
2023 MINI 3 Door Cooper S
8
[ 3862, 3871, 3877, 3923, 3926, 3939, 3942, 3947, 3952, 3974, 3984, 3988, 3989, 3998, 4005, 4022, 4026, 4036, 4041, 4042, 4044, 4071, 4074, 4077, 4092, 4097, 4114, 4120, 4137, 4150, 4182, 4189, 4191, 4203, 4230, 4263, 4277, 4296, 4347, 4356, 4368, 4372, 4379, 4399, 4400 ]
train-00081-of-00165-7c73924f2652b743.parquet
2018 Volkswagen Passat 1.8 TSI Comfortline
4
[ 1551, 1560, 1589, 1592, 1598, 1603, 1611, 1615, 1617, 1618, 1621, 1622, 1623, 1625, 1627, 1635, 1637, 1638, 1640, 1647, 1649, 1658, 1667, 1689, 1707, 1729, 1740, 1746, 1763, 1771, 1785, 1789, 1794, 1818, 1842, 1844, 1856, 1869, 1884, 1889, 1892, 1895, 1897, 1899, 1901, 1906, 1919, 1930, 1937, 1944, 1952, 1976, 1980, 1986, 1988, 2015, 2021, 2022, 2047, 2059, 2086, 2088, 2091, 2094, 2099, 2104, 2111, 2126, 2131, 2138, 2141, 2146, 2153, 2156, 2159, 2162 ]
train-00060-of-00165-88e39f34feebfe2b.parquet
2022 Perodua Myvi 1.3 G with PSDA
2
[ 382, 385, 386, 393, 399, 404, 405, 415, 419, 426, 431, 434, 438, 443, 444, 452, 460, 462, 473, 474, 482, 488, 491, 492, 494, 498, 504, 509, 510, 519, 521, 522, 530, 532, 534, 540, 543, 546, 549, 550, 553, 554, 557, 571, 572, 578, 584, 585, 590, 591, 593, 604, 605, 611, 613, 614, 622, 627, 631, 635, 637, 642, 645, 648, 650, 652, 656, 658, 661, 664, 666, 674, 676, 678, 690, 694, 695, 696, 723, 728, 736, 737, 746, 748, 750, 756, 763, 769, 776, 780, 782, 787, 791, 797, 804, 817, 821 ]
train-00023-of-00165-eb3a5299e023f1ec.parquet
2018 Proton Ertiga 1.4 Executive Plus AT
4
[ 1486, 1487, 1491, 1502, 1518, 1523, 1557, 1562, 1563, 1567, 1571, 1573, 1574, 1585, 1611, 1612, 1625, 1633, 1635, 1651, 1655, 1660, 1664, 1665, 1679, 1685, 1694, 1697, 1699, 1701, 1713, 1720, 1723, 1725, 1745, 1750, 1758, 1766, 1774, 1775, 1792, 1799, 1810, 1814, 1824, 1832, 1844, 1849, 1854, 1856, 1872, 1874, 1891, 1896, 1912, 1916, 1920, 1925, 1938, 1940, 1946, 1952, 1959, 1961, 1966, 1967, 1971, 1977, 1980, 1982, 1989, 1995, 2000, 2004, 2007, 2012, 2018 ]
train-00093-of-00165-04a0e66bb1989acc.parquet
2022 Porsche Macan S
7
[ 3021, 3039, 3050, 3072, 3088, 3102, 3118, 3120, 3125, 3132, 3142, 3152, 3154, 3156, 3161, 3163, 3189, 3195, 3200, 3225, 3227, 3229, 3234, 3239, 3240, 3244, 3254, 3264, 3278, 3284, 3288, 3304, 3313, 3320, 3327, 3347, 3352, 3358, 3391, 3395, 3403, 3407, 3415, 3442, 3444, 3461, 3486, 3493, 3497, 3500, 3501, 3505, 3509, 3513, 3529, 3549, 3571, 3572, 3593, 3597 ]
train-00027-of-00165-c7635e0fc5e84b30.parquet
2020 Nissan Z Proto International Version
0
[ 0, 1, 2, 3, 4, 5, 7, 9, 10, 13, 16, 19, 21, 23, 25, 27, 28, 30, 31, 33, 38, 43, 44, 55, 62, 83, 90, 101, 102, 104, 108, 113, 115, 125, 168, 174, 186, 189, 195, 201, 203, 204, 207, 218, 220, 226 ]
End of preview.

Google Image Malaysian Vehicle Dedup

Original dataset https://huggingface.co/datasets/malaysia-ai/crawl-google-image-malaysian-vehicle

Source code at https://github.com/mesolitica/malaysian-dataset/tree/master/vlm/dedup-malaysian-vehicle

Dedup 70% similar

dedup-0.7.jsonl, total deduped 97598 images,

{'filename': 'train-00075-of-00165-c0ebcc169b1f62d2.parquet',
 'keyword': '2021 Honda City 1.5 E',
 'no': 2,
 'selected_indices': [696,
  702,
  705,
  707,
  712,
  716,
  720,
  723,
  727,
  732,
  742,
  745,
  775,
  779,
  780,
  787,
  797,
  817,
  844,
  876,
  894,
  898,
  905,
  917,
  962,
  965,
  966,
  988,
  993,
  995,
  1000,
  1009,
  1012,
  1015,
  1016,
  1029,
  1044,
  1049,
  1054,
  1077,
  1086,
  1096,
  1131,
  1174,
  1185,
  1188,
  1198,
  1208,
  1216,
  1217,
  1219,
  1223,
  1229,
  1237,
  1247,
  1253,
  1274,
  1276,
  1286,
  1305,
  1314,
  1347,
  1348,
  1353,
  1355,
  1401,
  1412]}
  • filename is the parquet file from the original repository.
  • selected_indices is the index of dataframe of that filename.

Embedding

We convert to embedding using https://huggingface.co/google/siglip-base-patch16-512, we use MosaicML for faster indexing,

from streaming import MDSWriter
from streaming.base.format.mds.encodings import Encoding, _encodings
from streaming import LocalDataset
import streaming
import numpy as np
from tqdm import tqdm

class Float32(Encoding):
    def encode(self, obj) -> bytes:
        return obj.tobytes()

    def decode(self, data: bytes):
        return np.frombuffer(data, np.float32)

_encodings['float32'] = Float32

dataset = LocalDataset('embedding')
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