Popcorn: A Configurable Benchmark for Visual Evidence in Multimodal Movie Recommendation
Paper • 2606.09595 • Published
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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 256 new columns ({'embd_561', 'embd_665', 'embd_529', 'embd_703', 'embd_565', 'embd_649', 'embd_688', 'embd_517', 'embd_597', 'embd_720', 'embd_593', 'embd_540', 'embd_672', 'embd_670', 'embd_599', 'embd_636', 'embd_724', 'embd_637', 'embd_674', 'embd_571', 'embd_669', 'embd_588', 'embd_605', 'embd_557', 'embd_559', 'embd_534', 'embd_738', 'embd_698', 'embd_650', 'embd_512', 'embd_581', 'embd_727', 'embd_677', 'embd_519', 'embd_658', 'embd_692', 'embd_594', 'embd_704', 'embd_531', 'embd_573', 'embd_625', 'embd_760', 'embd_691', 'embd_613', 'embd_678', 'embd_564', 'embd_684', 'embd_615', 'embd_701', 'embd_643', 'embd_761', 'embd_562', 'embd_736', 'embd_532', 'embd_567', 'embd_756', 'embd_685', 'embd_734', 'embd_705', 'embd_572', 'embd_600', 'embd_696', 'embd_554', 'embd_673', 'embd_745', 'embd_711', 'embd_763', 'embd_755', 'embd_648', 'embd_635', 'embd_690', 'embd_569', 'embd_653', 'embd_656', 'embd_757', 'embd_598', 'embd_582', 'embd_583', 'embd_721', 'embd_767', 'embd_657', 'embd_725', 'embd_722', 'embd_675', 'embd_737', 'embd_735', 'embd_644', 'embd_612', 'embd_651', 'embd_606', 'embd_553', 'embd_568', 'embd_580', 'embd_545', 'embd_566', 'embd_539', 'embd_563', 'embd_695', 'embd_548', 'embd_700', 'embd_758', 'embd_620', 'embd_556', 'embd_629', 'embd_749', 'embd_585', 'embd_671', 'embd_521', 'embd_533', 'embd_550', 'embd_601', 'embd_547', 'embd_712', 'embd_551', 'embd_630', 'embd_667', 'embd_544', 'embd_537', 'embd_633', 'embd_750', 'embd_661', 'embd_619', 'embd_752', 'embd_713', 'embd_676',
...
'embd_655', 'embd_514', 'embd_574', 'embd_641', 'embd_687', 'embd_546', 'embd_603', 'embd_527', 'embd_659', 'embd_586', 'embd_693', 'embd_611', 'embd_592', 'embd_751', 'embd_632', 'embd_731', 'embd_596', 'embd_608', 'embd_591', 'embd_681', 'embd_513', 'embd_748', 'embd_579', 'embd_602', 'embd_645', 'embd_622', 'embd_609', 'embd_741', 'embd_607', 'embd_530', 'embd_728', 'embd_576', 'embd_732', 'embd_762', 'embd_710', 'embd_624', 'embd_714', 'embd_627', 'embd_660', 'embd_706', 'embd_617', 'embd_626', 'embd_707', 'embd_623', 'embd_616', 'embd_689', 'embd_646', 'embd_746', 'embd_520', 'embd_555', 'embd_759', 'embd_621', 'embd_747', 'embd_515', 'embd_699', 'embd_679', 'embd_730', 'embd_639', 'embd_740', 'embd_729', 'embd_589', 'embd_723', 'embd_640', 'embd_686', 'embd_584', 'embd_543', 'embd_590', 'embd_570', 'embd_754', 'embd_652', 'embd_577', 'embd_523', 'embd_694', 'embd_662', 'embd_753', 'embd_668', 'embd_726', 'embd_717', 'embd_742', 'embd_525', 'embd_535', 'embd_664', 'embd_575', 'embd_552', 'embd_538', 'embd_634', 'embd_549', 'embd_560', 'embd_744', 'embd_766', 'embd_610', 'embd_733', 'embd_516', 'embd_604', 'embd_709', 'embd_708', 'embd_578', 'embd_743', 'embd_528', 'embd_642', 'embd_618', 'embd_683', 'embd_666', 'embd_595', 'embd_558', 'embd_536', 'embd_719', 'embd_524', 'embd_518', 'embd_716', 'embd_715', 'embd_697', 'embd_614', 'embd_631', 'embd_682', 'embd_647', 'embd_663', 'embd_542', 'embd_587', 'embd_628', 'embd_702', 'embd_654', 'embd_765', 'embd_541', 'embd_739'})
This happened while the csv dataset builder was generating data using
hf://datasets/alitourani/movielens-25m-thumb/embedding_dino-v2-base/thumbnails_ml25m_part1.csv (at revision 785a2e7c3a02d80294283ce777e77c5aefb523a0), ['hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_clip/thumbnails_ml25m_part1.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_clip/thumbnails_ml25m_part10.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_clip/thumbnails_ml25m_part11.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_clip/thumbnails_ml25m_part12.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_clip/thumbnails_ml25m_part13.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_clip/thumbnails_ml25m_part2.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_clip/thumbnails_ml25m_part3.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_clip/thumbnails_ml25m_part4.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_clip/thumbnails_ml25m_part5.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_clip/thumbnails_ml25m_part6.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_clip/thumbnails_ml25m_part7.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_clip/thumbnails_ml25m_part8.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_clip/thumbnails_ml25m_part9.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-base/thumbnails_ml25m_part1.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-base/thumbnails_ml25m_part10.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-base/thumbnails_ml25m_part11.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-base/thumbnails_ml25m_part12.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-base/thumbnails_ml25m_part13.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-base/thumbnails_ml25m_part2.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-base/thumbnails_ml25m_part3.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-base/thumbnails_ml25m_part4.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-base/thumbnails_ml25m_part5.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-base/thumbnails_ml25m_part6.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-base/thumbnails_ml25m_part7.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-base/thumbnails_ml25m_part8.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-base/thumbnails_ml25m_part9.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-large/thumbnails_ml25m_part1.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-large/thumbnails_ml25m_part10.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-large/thumbnails_ml25m_part11.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-large/thumbnails_ml25m_part12.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-large/thumbnails_ml25m_part13.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-large/thumbnails_ml25m_part2.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-large/thumbnails_ml25m_part3.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-large/thumbnails_ml25m_part4.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-large/thumbnails_ml25m_part5.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-large/thumbnails_ml25m_part6.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-large/thumbnails_ml25m_part7.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-large/thumbnails_ml25m_part8.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-large/thumbnails_ml25m_part9.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_openclip-l14/thumbnails_ml25m_part1.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_openclip-l14/thumbnails_ml25m_part10.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_openclip-l14/thumbnails_ml25m_part11.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_openclip-l14/thumbnails_ml25m_part12.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_openclip-l14/thumbnails_ml25m_part13.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_openclip-l14/thumbnails_ml25m_part2.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_openclip-l14/thumbnails_ml25m_part3.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_openclip-l14/thumbnails_ml25m_part4.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_openclip-l14/thumbnails_ml25m_part5.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_openclip-l14/thumbnails_ml25m_part6.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_openclip-l14/thumbnails_ml25m_part7.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_openclip-l14/thumbnails_ml25m_part8.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_openclip-l14/thumbnails_ml25m_part9.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_siglip-base/thumbnails_ml25m_part1.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_siglip-base/thumbnails_ml25m_part10.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_siglip-base/thumbnails_ml25m_part11.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_siglip-base/thumbnails_ml25m_part12.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_siglip-base/thumbnails_ml25m_part13.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_siglip-base/thumbnails_ml25m_part2.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_siglip-base/thumbnails_ml25m_part3.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_siglip-base/thumbnails_ml25m_part4.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_siglip-base/thumbnails_ml25m_part5.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_siglip-base/thumbnails_ml25m_part6.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_siglip-base/thumbnails_ml25m_part7.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_siglip-base/thumbnails_ml25m_part8.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_siglip-base/thumbnails_ml25m_part9.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_siglip2-base/thumbnails_ml25m_part1.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_siglip2-base/thumbnails_ml25m_part10.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_siglip2-base/thumbnails_ml25m_part11.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_siglip2-base/thumbnails_ml25m_part12.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_siglip2-base/thumbnails_ml25m_part13.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_siglip2-base/thumbnails_ml25m_part2.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_siglip2-base/thumbnails_ml25m_part3.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_siglip2-base/thumbnails_ml25m_part4.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_siglip2-base/thumbnails_ml25m_part5.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_siglip2-base/thumbnails_ml25m_part6.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_siglip2-base/thumbnails_ml25m_part7.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_siglip2-base/thumbnails_ml25m_part8.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_siglip2-base/thumbnails_ml25m_part9.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/ml25m_movies.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/thumbnails_ml25m_part1.zip', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/thumbnails_ml25m_part10.zip', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/thumbnails_ml25m_part11.zip', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/thumbnails_ml25m_part12.zip', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/thumbnails_ml25m_part13.zip', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/thumbnails_ml25m_part2.zip', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/thumbnails_ml25m_part3.zip', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/thumbnails_ml25m_part4.zip', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/thumbnails_ml25m_part5.zip', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/thumbnails_ml25m_part6.zip', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/thumbnails_ml25m_part7.zip', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/thumbnails_ml25m_part8.zip', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/thumbnails_ml25m_part9.zip']
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 "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
movie_id: int64
embd_0: double
embd_1: double
embd_2: double
embd_3: double
embd_4: double
embd_5: double
embd_6: double
embd_7: double
embd_8: double
embd_9: double
embd_10: double
embd_11: double
embd_12: double
embd_13: double
embd_14: double
embd_15: double
embd_16: double
embd_17: double
embd_18: double
embd_19: double
embd_20: double
embd_21: double
embd_22: double
embd_23: double
embd_24: double
embd_25: double
embd_26: double
embd_27: double
embd_28: double
embd_29: double
embd_30: double
embd_31: double
embd_32: double
embd_33: double
embd_34: double
embd_35: double
embd_36: double
embd_37: double
embd_38: double
embd_39: double
embd_40: double
embd_41: double
embd_42: double
embd_43: double
embd_44: double
embd_45: double
embd_46: double
embd_47: double
embd_48: double
embd_49: double
embd_50: double
embd_51: double
embd_52: double
embd_53: double
embd_54: double
embd_55: double
embd_56: double
embd_57: double
embd_58: double
embd_59: double
embd_60: double
embd_61: double
embd_62: double
embd_63: double
embd_64: double
embd_65: double
embd_66: double
embd_67: double
embd_68: double
embd_69: double
embd_70: double
embd_71: double
embd_72: double
embd_73: double
embd_74: double
embd_75: double
embd_76: double
embd_77: double
embd_78: double
embd_79: double
embd_80: double
embd_81: double
embd_82: double
embd_83: double
embd_84: double
embd_85: double
embd_86: double
embd_87: double
embd_88: double
embd_89: double
embd_90: double
embd_91: double
embd_92: double
embd_9
...
e
embd_686: double
embd_687: double
embd_688: double
embd_689: double
embd_690: double
embd_691: double
embd_692: double
embd_693: double
embd_694: double
embd_695: double
embd_696: double
embd_697: double
embd_698: double
embd_699: double
embd_700: double
embd_701: double
embd_702: double
embd_703: double
embd_704: double
embd_705: double
embd_706: double
embd_707: double
embd_708: double
embd_709: double
embd_710: double
embd_711: double
embd_712: double
embd_713: double
embd_714: double
embd_715: double
embd_716: double
embd_717: double
embd_718: double
embd_719: double
embd_720: double
embd_721: double
embd_722: double
embd_723: double
embd_724: double
embd_725: double
embd_726: double
embd_727: double
embd_728: double
embd_729: double
embd_730: double
embd_731: double
embd_732: double
embd_733: double
embd_734: double
embd_735: double
embd_736: double
embd_737: double
embd_738: double
embd_739: double
embd_740: double
embd_741: double
embd_742: double
embd_743: double
embd_744: double
embd_745: double
embd_746: double
embd_747: double
embd_748: double
embd_749: double
embd_750: double
embd_751: double
embd_752: double
embd_753: double
embd_754: double
embd_755: double
embd_756: double
embd_757: double
embd_758: double
embd_759: double
embd_760: double
embd_761: double
embd_762: double
embd_763: double
embd_764: double
embd_765: double
embd_766: double
embd_767: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 90011
to
{'movie_id': Value('int64'), 'embd_0': Value('float64'), 'embd_1': Value('float64'), 'embd_2': Value('float64'), 'embd_3': Value('float64'), 'embd_4': Value('float64'), 'embd_5': Value('float64'), 'embd_6': Value('float64'), 'embd_7': Value('float64'), 'embd_8': Value('float64'), 'embd_9': Value('float64'), 'embd_10': Value('float64'), 'embd_11': Value('float64'), 'embd_12': Value('float64'), 'embd_13': Value('float64'), 'embd_14': Value('float64'), 'embd_15': Value('float64'), 'embd_16': Value('float64'), 'embd_17': Value('float64'), 'embd_18': Value('float64'), 'embd_19': Value('float64'), 'embd_20': Value('float64'), 'embd_21': Value('float64'), 'embd_22': Value('float64'), 'embd_23': Value('float64'), 'embd_24': Value('float64'), 'embd_25': Value('float64'), 'embd_26': Value('float64'), 'embd_27': Value('float64'), 'embd_28': Value('float64'), 'embd_29': Value('float64'), 'embd_30': Value('float64'), 'embd_31': Value('float64'), 'embd_32': Value('float64'), 'embd_33': Value('float64'), 'embd_34': Value('float64'), 'embd_35': Value('float64'), 'embd_36': Value('float64'), 'embd_37': Value('float64'), 'embd_38': Value('float64'), 'embd_39': Value('float64'), 'embd_40': Value('float64'), 'embd_41': Value('float64'), 'embd_42': Value('float64'), 'embd_43': Value('float64'), 'embd_44': Value('float64'), 'embd_45': Value('float64'), 'embd_46': Value('float64'), 'embd_47': Value('float64'), 'embd_48': Value('float64'), 'embd_49': Value('float64'), 'embd_50': Value('float64'), 'e
...
'embd_462': Value('float64'), 'embd_463': Value('float64'), 'embd_464': Value('float64'), 'embd_465': Value('float64'), 'embd_466': Value('float64'), 'embd_467': Value('float64'), 'embd_468': Value('float64'), 'embd_469': Value('float64'), 'embd_470': Value('float64'), 'embd_471': Value('float64'), 'embd_472': Value('float64'), 'embd_473': Value('float64'), 'embd_474': Value('float64'), 'embd_475': Value('float64'), 'embd_476': Value('float64'), 'embd_477': Value('float64'), 'embd_478': Value('float64'), 'embd_479': Value('float64'), 'embd_480': Value('float64'), 'embd_481': Value('float64'), 'embd_482': Value('float64'), 'embd_483': Value('float64'), 'embd_484': Value('float64'), 'embd_485': Value('float64'), 'embd_486': Value('float64'), 'embd_487': Value('float64'), 'embd_488': Value('float64'), 'embd_489': Value('float64'), 'embd_490': Value('float64'), 'embd_491': Value('float64'), 'embd_492': Value('float64'), 'embd_493': Value('float64'), 'embd_494': Value('float64'), 'embd_495': Value('float64'), 'embd_496': Value('float64'), 'embd_497': Value('float64'), 'embd_498': Value('float64'), 'embd_499': Value('float64'), 'embd_500': Value('float64'), 'embd_501': Value('float64'), 'embd_502': Value('float64'), 'embd_503': Value('float64'), 'embd_504': Value('float64'), 'embd_505': Value('float64'), 'embd_506': Value('float64'), 'embd_507': Value('float64'), 'embd_508': Value('float64'), 'embd_509': Value('float64'), 'embd_510': Value('float64'), 'embd_511': Value('float64')}
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 1343, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 907, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1683, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1839, 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 256 new columns ({'embd_561', 'embd_665', 'embd_529', 'embd_703', 'embd_565', 'embd_649', 'embd_688', 'embd_517', 'embd_597', 'embd_720', 'embd_593', 'embd_540', 'embd_672', 'embd_670', 'embd_599', 'embd_636', 'embd_724', 'embd_637', 'embd_674', 'embd_571', 'embd_669', 'embd_588', 'embd_605', 'embd_557', 'embd_559', 'embd_534', 'embd_738', 'embd_698', 'embd_650', 'embd_512', 'embd_581', 'embd_727', 'embd_677', 'embd_519', 'embd_658', 'embd_692', 'embd_594', 'embd_704', 'embd_531', 'embd_573', 'embd_625', 'embd_760', 'embd_691', 'embd_613', 'embd_678', 'embd_564', 'embd_684', 'embd_615', 'embd_701', 'embd_643', 'embd_761', 'embd_562', 'embd_736', 'embd_532', 'embd_567', 'embd_756', 'embd_685', 'embd_734', 'embd_705', 'embd_572', 'embd_600', 'embd_696', 'embd_554', 'embd_673', 'embd_745', 'embd_711', 'embd_763', 'embd_755', 'embd_648', 'embd_635', 'embd_690', 'embd_569', 'embd_653', 'embd_656', 'embd_757', 'embd_598', 'embd_582', 'embd_583', 'embd_721', 'embd_767', 'embd_657', 'embd_725', 'embd_722', 'embd_675', 'embd_737', 'embd_735', 'embd_644', 'embd_612', 'embd_651', 'embd_606', 'embd_553', 'embd_568', 'embd_580', 'embd_545', 'embd_566', 'embd_539', 'embd_563', 'embd_695', 'embd_548', 'embd_700', 'embd_758', 'embd_620', 'embd_556', 'embd_629', 'embd_749', 'embd_585', 'embd_671', 'embd_521', 'embd_533', 'embd_550', 'embd_601', 'embd_547', 'embd_712', 'embd_551', 'embd_630', 'embd_667', 'embd_544', 'embd_537', 'embd_633', 'embd_750', 'embd_661', 'embd_619', 'embd_752', 'embd_713', 'embd_676',
...
'embd_655', 'embd_514', 'embd_574', 'embd_641', 'embd_687', 'embd_546', 'embd_603', 'embd_527', 'embd_659', 'embd_586', 'embd_693', 'embd_611', 'embd_592', 'embd_751', 'embd_632', 'embd_731', 'embd_596', 'embd_608', 'embd_591', 'embd_681', 'embd_513', 'embd_748', 'embd_579', 'embd_602', 'embd_645', 'embd_622', 'embd_609', 'embd_741', 'embd_607', 'embd_530', 'embd_728', 'embd_576', 'embd_732', 'embd_762', 'embd_710', 'embd_624', 'embd_714', 'embd_627', 'embd_660', 'embd_706', 'embd_617', 'embd_626', 'embd_707', 'embd_623', 'embd_616', 'embd_689', 'embd_646', 'embd_746', 'embd_520', 'embd_555', 'embd_759', 'embd_621', 'embd_747', 'embd_515', 'embd_699', 'embd_679', 'embd_730', 'embd_639', 'embd_740', 'embd_729', 'embd_589', 'embd_723', 'embd_640', 'embd_686', 'embd_584', 'embd_543', 'embd_590', 'embd_570', 'embd_754', 'embd_652', 'embd_577', 'embd_523', 'embd_694', 'embd_662', 'embd_753', 'embd_668', 'embd_726', 'embd_717', 'embd_742', 'embd_525', 'embd_535', 'embd_664', 'embd_575', 'embd_552', 'embd_538', 'embd_634', 'embd_549', 'embd_560', 'embd_744', 'embd_766', 'embd_610', 'embd_733', 'embd_516', 'embd_604', 'embd_709', 'embd_708', 'embd_578', 'embd_743', 'embd_528', 'embd_642', 'embd_618', 'embd_683', 'embd_666', 'embd_595', 'embd_558', 'embd_536', 'embd_719', 'embd_524', 'embd_518', 'embd_716', 'embd_715', 'embd_697', 'embd_614', 'embd_631', 'embd_682', 'embd_647', 'embd_663', 'embd_542', 'embd_587', 'embd_628', 'embd_702', 'embd_654', 'embd_765', 'embd_541', 'embd_739'})
This happened while the csv dataset builder was generating data using
hf://datasets/alitourani/movielens-25m-thumb/embedding_dino-v2-base/thumbnails_ml25m_part1.csv (at revision 785a2e7c3a02d80294283ce777e77c5aefb523a0), ['hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_clip/thumbnails_ml25m_part1.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_clip/thumbnails_ml25m_part10.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_clip/thumbnails_ml25m_part11.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_clip/thumbnails_ml25m_part12.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_clip/thumbnails_ml25m_part13.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_clip/thumbnails_ml25m_part2.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_clip/thumbnails_ml25m_part3.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_clip/thumbnails_ml25m_part4.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_clip/thumbnails_ml25m_part5.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_clip/thumbnails_ml25m_part6.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_clip/thumbnails_ml25m_part7.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_clip/thumbnails_ml25m_part8.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_clip/thumbnails_ml25m_part9.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-base/thumbnails_ml25m_part1.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-base/thumbnails_ml25m_part10.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-base/thumbnails_ml25m_part11.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-base/thumbnails_ml25m_part12.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-base/thumbnails_ml25m_part13.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-base/thumbnails_ml25m_part2.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-base/thumbnails_ml25m_part3.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-base/thumbnails_ml25m_part4.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-base/thumbnails_ml25m_part5.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-base/thumbnails_ml25m_part6.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-base/thumbnails_ml25m_part7.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-base/thumbnails_ml25m_part8.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-base/thumbnails_ml25m_part9.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-large/thumbnails_ml25m_part1.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-large/thumbnails_ml25m_part10.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-large/thumbnails_ml25m_part11.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-large/thumbnails_ml25m_part12.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-large/thumbnails_ml25m_part13.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-large/thumbnails_ml25m_part2.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-large/thumbnails_ml25m_part3.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-large/thumbnails_ml25m_part4.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-large/thumbnails_ml25m_part5.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-large/thumbnails_ml25m_part6.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-large/thumbnails_ml25m_part7.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-large/thumbnails_ml25m_part8.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_dino-v2-large/thumbnails_ml25m_part9.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_openclip-l14/thumbnails_ml25m_part1.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_openclip-l14/thumbnails_ml25m_part10.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_openclip-l14/thumbnails_ml25m_part11.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_openclip-l14/thumbnails_ml25m_part12.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_openclip-l14/thumbnails_ml25m_part13.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_openclip-l14/thumbnails_ml25m_part2.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_openclip-l14/thumbnails_ml25m_part3.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_openclip-l14/thumbnails_ml25m_part4.csv', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/embedding_openclip-l14/thumbnails_ml25m_part5.csv', 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'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/thumbnails_ml25m_part2.zip', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/thumbnails_ml25m_part3.zip', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/thumbnails_ml25m_part4.zip', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/thumbnails_ml25m_part5.zip', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/thumbnails_ml25m_part6.zip', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/thumbnails_ml25m_part7.zip', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/thumbnails_ml25m_part8.zip', 'hf://datasets/alitourani/movielens-25m-thumb@785a2e7c3a02d80294283ce777e77c5aefb523a0/thumbnails_ml25m_part9.zip']
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.
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1,942 | -0.551034 | -0.086195 | -0.657327 | -0.026818 | -0.002183 | -0.078195 | -0.042363 | 0.139317 | -0.597425 | 0.195859 | 0.301184 | 0.040847 | 0.800564 | -0.33816 | -0.064146 | -0.449406 | 1.344677 | -0.408089 | 0.575453 | -0.057252 | -1.009086 | -0.194381 | 0.285098 | -0.461874 | 0.007942 | 0.279596 | -0.391803 | 0.003571 | -0.115393 | -0.147599 | 0.46551 | 0.12603 | 0.237015 | 0.195635 | -0.741467 | 0.132463 | 0.151904 | 0.33925 | 0.116185 | 1.836962 | -0.275027 | 0.151965 | -0.416148 | -0.318101 | 0.609301 | 0.650163 | -0.289982 | 0.476946 | 0.210923 | -0.479555 | 0.276347 | 0.102174 | 0.298042 | -0.132484 | -0.18673 | -0.018515 | 0.111012 | -0.611069 | 0.349934 | -0.264767 | -0.258817 | -0.198813 | 0.796317 | 0.392241 | -0.22383 | -0.156228 | -0.416408 | 0.678741 | -0.201131 | 0.109865 | 0.161798 | -0.289624 | -0.166876 | -0.224871 | 0.614984 | 0.152003 | -0.103766 | -0.056351 | -0.145639 | 0.620034 | 0.181475 | -0.157516 | -0.004142 | -0.044274 | 0.442736 | 0.494088 | -0.061459 | -0.455093 | -0.304443 | -0.091909 | 0.314411 | 0.258338 | -5.689116 | -0.32579 | 0.14102 | 0.591406 | 0.223429 | -0.47238 | -0.078727 | -0.303053 | -0.110973 | 0.00364 | 0.042632 | 0.061091 | 0.12149 | -0.116036 | -0.456673 | 0.358833 | 0.280038 | 0.744896 | -0.324139 | -0.147737 | -0.563817 | 0.041593 | -0.131588 | 0.129612 | -0.256621 | 0.26553 | -0.014363 | -0.014362 | 0.290331 | 0.893073 | -0.43548 | -0.157053 | 0.000634 | 0.057831 | 0.012987 | 0.184483 | 0.668478 | 0.184307 | 0.160024 | -0.199334 | 0.074092 | 0.876912 | 0.262535 | 0.165619 | 0.120427 | 0.321097 | 0.077749 | 0.126181 | 0.011971 | 0.020796 | -0.022466 | 0.016502 | 0.056874 | -0.021087 | 0.003354 | 0.775704 | -0.153142 | 0.26355 | 0.436681 | -0.256547 | 0.930053 | -0.193481 | -0.086694 | -0.263865 | -0.185504 | -0.29114 | 0.187918 | -0.276861 | -0.01091 | -0.366013 | -0.288429 | 0.055374 | 0.070127 | 0.132588 | -0.426243 | -0.137538 | 0.376663 | -0.050041 | 0.355033 | -0.036368 | 0.20125 | 0.195773 | 0.133286 | 0.09685 | 0.25333 | 0.113003 | 0.5067 | 0.167123 | 0.374742 | -0.345367 | 0.108332 | -0.194765 | -0.476622 | 0.058368 | -0.084566 | -0.410253 | 0.429507 | 0.260416 | 0.180156 | 0.060523 | 0.052528 | 0.285232 | 0.455433 | 0.081321 | 0.634292 | 0.051336 | -0.87529 | 0.034323 | -0.309492 | -0.205799 | -0.025015 | -0.082561 | 0.317937 | 0.005265 | -0.409757 | 0.052703 | 0.194502 | 0.225464 | -0.002904 | 0.745986 | 0.462205 | 0.102442 | -0.833253 | -0.158395 | 0.056125 | 0.084914 | -0.260439 | 0.439278 | 0.409285 | 0.036561 | -0.471793 | -0.296715 | -0.41611 | 0.025726 | 0.25932 | 0.580455 | 0.046587 | -0.447826 | -0.115511 | 0.040899 | -0.022635 | 0.710198 | -0.106237 | -0.132751 | 0.126439 | 0.304765 | 0.138172 | -0.229727 | 0.082057 | 0.193951 | -0.20177 | -0.110983 | 0.248757 | 0.252094 | 0.175624 | 0.014824 | -0.616203 | -0.077452 | 0.568247 | 0.122005 | 0.336646 | -0.16459 | 0.203289 | -0.430769 | -0.315483 | 0.253511 | -1.617107 | -0.507512 | -0.011348 | -0.334674 | 0.467856 | -1.311069 | 0.053906 | 0.336087 | -0.159176 | 0.201101 | 0.261033 | -0.200844 | -0.257322 | -0.306936 | -0.003204 | 0.452243 | 0.411896 | 0.261718 | 0.018615 | -0.057534 | -0.364428 | -0.038915 | -0.109687 | -0.284713 | 0.011872 | 0.412847 | 0.253895 | -0.041193 | -0.048555 | -0.10447 | -0.174516 | -0.42536 | -0.302464 | -0.162232 | 0.324848 | 0.661559 | 0.233241 | -0.186568 | -0.681176 | 0.486184 | -0.599184 | -0.377368 | -0.016547 | -0.018546 | -0.599564 | 0.330054 | -0.278811 | -0.192319 | 0.104692 | 0.002449 | 0.255487 | -0.460744 | -0.027446 | 0.276863 | 0.873424 | -0.335873 | -0.00984 | 0.064358 | -0.204594 | -0.281311 | -0.559467 | -0.003361 | 0.043009 | -0.602687 | -0.257249 | 0.37407 | -0.165012 | 0.290128 | 0.067313 | 0.406264 | -0.394874 | -0.169419 | 0.020541 | -0.27555 | 0.295725 | -0.520002 | 0.051324 | -0.308143 | 0.405676 | 0.899785 | -0.208751 | 0.368424 | -0.707224 | -0.396182 | 0.298405 | 0.745669 | -0.241924 | -0.389863 | -0.005395 | -0.06461 | -0.10379 | -0.122357 | 0.687399 | -0.001161 | -0.3691 | -0.044805 | -0.371153 | 0.334406 | 0.015275 | -0.353257 | -0.071223 | 0.252029 | -0.22922 | -0.430492 | 0.293964 | -0.212122 | -1.637829 | 0.257743 | 0.091593 | 1.20532 | -0.018981 | 0.333376 | -0.313593 | 0.537809 | 0.283814 | 0.438321 | -0.047368 | -0.246033 | -0.16578 | -0.544919 | -0.223918 | 0.081376 | 0.073227 | -0.28224 | -0.105074 | 0.108957 | -0.21446 | -0.2578 | -0.213273 | 0.405588 | -0.030906 | 0.05979 | -0.163746 | -0.250145 | 0.205838 | -0.126586 | 0.324498 | 0.197082 | 0.28141 | 0.230278 | 0.126276 | -1.06939 | -0.521373 | 0.122199 | -1.115512 | -0.126456 | -0.097523 | -0.430079 | -0.369879 | 0.205391 | 0.379824 | 0.239193 | -0.279985 | 0.518041 | -0.961564 | 0.368972 | -0.430301 | -0.277076 | -0.437149 | -0.067496 | -0.330853 | -0.364301 | 0.510705 | -0.740635 | 0.10358 | 0.016178 | -0.296884 | 0.107717 | 0.009879 | -0.44365 | 0.320441 | 0.004416 | -0.231952 | -0.32165 | -0.542863 | -0.081713 | -0.101353 | -0.085377 | -0.293715 | 0.514017 | 0.160719 | 0.122511 | 0.012917 | -0.117056 | 0.053411 | 0.496858 | 0.051709 | -0.294137 | -0.050511 | -0.368922 | -0.00043 | 0.383264 | -0.603566 | -0.484632 | -0.147462 | 0.440368 | 0.35697 | 0.075155 | -0.098318 | -0.236748 | -0.287206 | -0.303261 | 0.019313 | 0.008504 | 0.100038 | 0.099708 | -0.132587 | -0.302385 | -0.117979 | -0.181077 | 0.075527 | -0.177992 | -0.162052 | -0.226047 | -0.25312 | 0.011361 | 0.262511 | -0.042674 | -0.50725 | 0.32228 | -0.001541 | 0.033781 | 0.145071 | -0.244045 | 0.443438 | 0.320338 | -0.091282 | -0.098504 | -0.352144 | 0.397455 | -0.21703 | 0.440206 | 0.072308 | -0.087458 | 0.484631 | -0.464733 | 0.309132 | -0.211918 | -0.026464 | -0.374804 | 0.396771 | -0.130387 | -0.445933 | 0.098668 | 0.17407 | -0.027197 | -0.262116 | -0.174292 | -0.013038 | 0.076369 | -0.551379 | 0.395493 | -0.008919 | 0.15602 |
769 | 0.081049 | 0.12452 | 0.032162 | -0.229247 | 0.02814 | 0.123065 | -0.427793 | -0.228886 | 0.167664 | -0.383634 | 0.283916 | -0.374096 | -0.309869 | -0.061798 | 0.225472 | -0.57905 | 0.229798 | -0.235777 | -0.204807 | 0.042339 | 0.485733 | -0.299846 | 0.026739 | 0.067926 | 0.162039 | 0.200436 | -0.229337 | 0.357011 | -0.080174 | -0.378962 | 0.078332 | 0.505913 | -0.015799 | -0.040493 | -0.297104 | -0.038219 | -0.251705 | 0.090117 | -0.087035 | 2.121004 | -0.0095 | -0.122859 | 0.09369 | -0.131963 | 0.624046 | 0.177958 | -0.48649 | 0.121123 | 0.181321 | 0.101195 | -0.031463 | 0.08554 | -0.428536 | -0.095818 | -0.293977 | -0.180784 | 0.488046 | -0.297162 | 0.05329 | 0.223067 | 0.004639 | -0.087774 | -0.119274 | 0.059137 | 0.250395 | -0.112693 | 0.135199 | -0.592596 | -0.264468 | -0.366868 | 0.330781 | -0.066703 | -0.578798 | 0.331509 | 0.34399 | 0.408106 | 0.28519 | 0.055976 | -0.023736 | -0.388609 | -0.122848 | 0.004358 | -0.237941 | 0.023583 | 0.131667 | -0.117594 | 1.080076 | 0.069957 | -0.052093 | -0.076856 | -0.01586 | 0.536941 | -5.749457 | -0.105795 | 0.133998 | 0.22005 | 0.082568 | -0.159621 | 0.289677 | -0.314982 | 0.447436 | -0.160336 | -0.157821 | 0.102236 | 0.47974 | -0.449842 | 0.735419 | -0.120415 | -0.156855 | -0.343965 | -0.064776 | -0.866446 | -0.430053 | 0.22278 | 0.004922 | -0.260733 | 0.077479 | -0.307469 | 0.391511 | -0.320847 | 0.095752 | -0.66149 | -0.007 | -0.279921 | -0.538376 | -0.466244 | -0.015675 | 0.22977 | 0.259183 | 0.126983 | 0.086924 | 0.001949 | -0.240987 | 0.767723 | 0.113954 | 0.410293 | 0.063098 | 0.382138 | -0.108755 | -0.190277 | -0.115236 | -0.327228 | -0.641482 | -0.405813 | -0.274396 | -0.680063 | 0.004958 | -0.254842 | 0.134731 | 0.337082 | -0.202056 | 0.230536 | 0.496046 | -0.470852 | 0.434704 | 0.152043 | -0.16802 | -0.157523 | 0.476585 | -0.019002 | 0.305696 | -0.605264 | -0.116762 | 0.250363 | 0.311822 | -0.312548 | -0.897154 | 0.191167 | 0.37937 | 0.337965 | 0.072374 | 0.111908 | -0.306905 | 0.092156 | 0.075562 | -0.013342 | 0.366794 | -0.082585 | 1.278162 | -0.038219 | 0.644029 | 0.145377 | -0.130306 | -0.544668 | -0.564326 | 0.189691 | -0.363206 | 0.094037 | 0.090625 | -0.342941 | 0.103724 | 0.172216 | -0.301096 | 0.037239 | 0.088573 | 0.001509 | 0.397292 | -0.046319 | -0.450595 | -0.032981 | 0.052392 | 0.076347 | -0.201878 | 0.25808 | 0.389351 | -0.919074 | -0.098049 | 0.20837 | -0.454824 | 0.095647 | 0.952012 | 0.358965 | 0.003067 | 0.056354 | 0.138891 | 0.190351 | 0.393928 | -0.161107 | -0.106211 | 0.257509 | 0.201293 | -0.182131 | -0.173628 | -0.491418 | -0.091871 | -0.261707 | -0.016063 | 0.221556 | 0.104789 | 0.09689 | -0.00732 | -0.210074 | 0.079906 | -0.153521 | 0.19771 | -0.755604 | -0.077238 | 0.299241 | 0.228899 | -0.403281 | 0.141166 | 0.500737 | 0.127984 | -0.070497 | 0.103391 | -0.244594 | 0.275598 | -0.01837 | 0.153166 | -0.343704 | -0.073524 | -0.353037 | -0.101525 | -0.281211 | 0.076712 | -0.249904 | -0.466325 | -0.168147 | -1.405046 | -0.280951 | -0.048118 | -0.030006 | -0.192965 | -0.90713 | 0.211072 | -0.279452 | -0.432922 | -0.08431 | 0.267191 | -0.575278 | -0.016774 | 0.011935 | 0.25391 | 0.206902 | 0.077491 | 0.053016 | -0.231003 | -0.1268 | -0.19813 | 0.03495 | 0.052318 | 0.195112 | 0.136159 | 0.141403 | -0.038215 | -0.286642 | -1.567737 | 0.32473 | -0.291238 | 0.080767 | -0.291812 | -0.047136 | 0.452283 | 0.26025 | -0.442962 | -0.225784 | -0.545744 | -0.316125 | -0.204709 | 0.451804 | 0.07585 | -0.755194 | -0.529162 | -0.2408 | 0.295299 | 0.53616 | -0.261127 | 0.492814 | 0.141054 | -0.246051 | -0.383619 | 0.19128 | 0.764582 | 0.082678 | -0.2449 | 0.000603 | 0.168454 | 0.198354 | 0.069211 | -0.975414 | 0.316266 | 0.906591 | 0.176402 | -0.276561 | -0.628487 | -0.263045 | 0.271189 | 0.022627 | -0.534173 | -0.52992 | 0.010175 | 0.830644 | 0.110744 | -0.177799 | -0.259604 | 0.107856 | -0.041307 | -0.117414 | -0.522651 | 0.268444 | -0.291451 | -0.411615 | 0.17447 | 0.088876 | -0.306855 | -0.082467 | -0.422307 | -0.333873 | 0.152369 | 0.19571 | 0.366929 | -0.136679 | 0.619157 | 0.252255 | -0.243905 | -0.174142 | -0.609665 | -0.492875 | 0.235425 | 0.186404 | 0.141245 | -0.002985 | 0.02296 | -0.233079 | -1.177122 | -0.05161 | -0.389261 | -0.212221 | 0.226058 | 0.309717 | 0.03565 | -0.149711 | -0.468563 | 0.297921 | 0.119761 | -0.201904 | 1.098795 | -0.072543 | -0.749133 | 0.165385 | 0.049513 | -0.383439 | -0.10575 | 0.460667 | 0.028865 | -0.346274 | -0.131259 | 0.39734 | 0.004564 | 2.388232 | -0.27947 | 0.357991 | -0.124399 | -0.072278 | 0.148401 | -0.166727 | 0.25523 | -0.121613 | 0.28057 | -0.738538 | 0.478263 | -0.283187 | -0.082169 | -0.030524 | -0.123784 | -0.319202 | -0.623086 | 0.040947 | 0.16705 | -0.271838 | -0.307183 | 0.395058 | -0.291006 | -0.056924 | -0.32264 | 0.000179 | -0.593203 | -0.142342 | -0.178849 | -0.394175 | -0.621595 | -0.578801 | 0.48492 | 0.446498 | -0.165276 | -0.16914 | -0.24168 | 0.330686 | 2.425559 | -0.256121 | 0.461976 | 0.047693 | 0.523851 | 0.039777 | 0.158609 | -0.410291 | 0.26351 | 0.066776 | 0.005752 | 0.619199 | -0.216693 | 0.202807 | -0.102979 | 0.375547 | 0.381907 | 0.174529 | 0.076377 | -0.098885 | 0.213466 | 0.148523 | -0.331569 | -0.17772 | 0.138179 | 0.543816 | 0.1133 | 0.42441 | -0.053372 | 0.211085 | -0.368391 | 0.409839 | 0.286068 | -0.130564 | -0.175513 | 0.181942 | 0.30184 | -0.214147 | -0.163292 | -0.05682 | -0.130449 | -0.34683 | -0.570174 | -0.253813 | -0.370883 | -0.455689 | 0.137718 | 0.038835 | 0.422639 | 0.03613 | -0.454448 | -0.402485 | -0.194335 | -0.245625 | 0.153898 | 0.50512 | -0.027421 | -0.363692 | -0.354817 | 0.045319 | -0.276027 | 0.414026 | -0.18236 | -0.650436 | -0.050076 | -0.073478 | -0.045239 | 0.334751 | 0.24615 | 0.083536 | 0.080346 | 0.01846 | 0.187554 | -0.112629 | -0.016111 | 0.557394 | 0.887559 | 0.484936 | 0.259587 | -0.047556 | -0.003666 | -0.005683 | 0.218479 | 0.361338 |
4,081 | -0.049222 | -0.163759 | -0.100745 | 0.041097 | -0.062645 | 0.21783 | 0.338891 | 0.154446 | 0.050912 | -0.021492 | 0.051918 | -0.029969 | 0.356453 | 0.315123 | 0.357837 | -0.488459 | 0.21912 | 0.10949 | -0.079436 | 0.059843 | -1.076188 | 0.017003 | 0.166928 | -0.258504 | -0.183958 | 0.21108 | -0.401776 | -0.01621 | -0.349526 | -0.190531 | 0.271139 | 0.343066 | -0.562623 | 0.13628 | -0.437757 | 0.066216 | -0.276486 | 0.434705 | 0.390983 | 1.226269 | 0.264603 | -0.347283 | -0.417334 | 0.107125 | 0.110161 | 0.411051 | 0.162184 | 0.287348 | 0.027893 | 0.116235 | 0.113635 | 0.035229 | 0.03058 | 0.162618 | -0.198864 | 0.438637 | 0.315756 | -0.40813 | 0.166324 | 0.198026 | -0.939326 | -0.542369 | 0.377776 | 0.259354 | -0.382852 | 0.222845 | -0.104861 | 0.689276 | -0.0113 | -0.144446 | -0.111023 | -0.493558 | -0.215827 | -0.454954 | 0.356328 | -0.427525 | 0.145332 | 0.001551 | -0.391487 | 0.124348 | -0.31232 | 0.108739 | 0.537142 | -0.172643 | 0.13154 | 0.093853 | -0.069006 | -0.137542 | -1.180054 | -0.230695 | 0.16248 | 0.242606 | -5.916735 | -0.057586 | -0.191294 | 0.140789 | -0.069475 | 0.070887 | 0.107415 | -0.057177 | 0.342363 | 0.412972 | 0.0504 | -0.244221 | 0.023762 | 0.025463 | -0.96208 | 0.061045 | -0.118917 | 0.358369 | -0.28212 | -0.050418 | 0.407405 | 0.109389 | 0.354059 | -0.185979 | 0.134162 | 0.362256 | 0.336868 | 0.025496 | 0.008414 | 0.15224 | 0.177637 | -0.145462 | 0.198669 | -0.898618 | 0.139747 | -0.024525 | 0.745777 | 0.127508 | -0.143793 | 0.663816 | 0.106995 | 0.854482 | -0.36881 | -0.186248 | 0.14237 | -0.076994 | 0.465843 | 0.166922 | -0.153875 | -0.026682 | 0.156411 | -0.036699 | -0.067659 | 0.051146 | 0.261837 | -0.265064 | 0.595058 | -0.082152 | 0.642021 | 0.097391 | 0.982956 | -0.16627 | 0.186792 | -0.01072 | 0.084265 | -0.035158 | -0.493913 | -0.095379 | -0.151984 | -0.543366 | -0.007862 | -0.20711 | -0.366263 | 0.216688 | -0.662162 | 0.25574 | 0.014791 | 0.21447 | 0.193405 | 0.170318 | 0.624647 | 0.596475 | 0.129599 | -0.588784 | 0.435036 | 0.199817 | 1.017539 | 0.26725 | 0.105083 | 0.092124 | -0.299292 | 0.017071 | 0.118568 | -0.176748 | 0.499672 | -0.334634 | 0.160559 | -0.118574 | 0.273747 | 0.140755 | 0.423299 | -0.184402 | 0.324217 | 0.182107 | -0.138477 | -0.240767 | 0.097885 | 0.142563 | 0.014419 | -0.288975 | 0.241989 | -0.089091 | 0.197615 | -0.170019 | -0.114928 | -0.224513 | 0.112831 | 0.026316 | -0.29258 | 0.671328 | 0.185342 | 0.467352 | -0.237938 | -0.420473 | 0.108185 | 0.366636 | -1.204654 | -0.280776 | -0.139544 | -0.168055 | -0.029614 | 0.122651 | 0.342769 | 0.007279 | 0.123409 | 0.092176 | -0.301146 | -0.236574 | -0.505085 | 0.172668 | 0.007966 | 0.811794 | -0.078597 | -0.18071 | -0.150119 | -0.021596 | 0.00349 | -0.073882 | 0.517523 | 0.284511 | 0.252964 | -0.195864 | 0.004993 | -0.351557 | -0.15443 | 0.030613 | -0.155391 | -0.036022 | -0.189947 | 0.193894 | 0.459199 | 0.073806 | -0.05863 | 0.143949 | 0.037762 | 0.542726 | -1.533924 | -0.521658 | -0.042306 | 0.027668 | -0.05824 | -1.56162 | 0.13745 | -0.396218 | -0.265058 | -0.136684 | -0.351386 | 0.457214 | -0.216341 | -0.269102 | -0.365306 | -0.017119 | 0.160696 | -0.019499 | 0.409852 | -0.242922 | -0.231563 | 0.019583 | 0.328802 | 0.338683 | -0.520823 | 0.146882 | 0.423381 | 0.516615 | 0.649908 | 0.294187 | 0.109052 | -0.388102 | -0.133493 | -1.034728 | 0.628749 | 0.525176 | -0.005109 | 0.123035 | 0.194253 | -0.281327 | 0.125328 | 0.365852 | 0.123434 | -0.06304 | 0.208374 | 0.137817 | -0.101414 | 0.138425 | -0.261913 | -0.003912 | 0.314855 | 0.201295 | -0.198747 | 0.183367 | 0.852139 | 0.090292 | -0.025067 | -0.020996 | -0.415815 | 0.589068 | -0.291011 | 0.68878 | -0.170385 | -0.147837 | -0.193706 | -0.181555 | 0.50179 | 0.023491 | -0.394408 | 0.300918 | -0.301407 | -0.183546 | -0.891913 | -0.042448 | -0.077986 | -0.287213 | -0.080319 | 0.072596 | 0.10878 | 0.004208 | -0.243846 | 0.142205 | -0.343425 | -0.333428 | 0.599387 | 0.552819 | 0.145376 | 0.109844 | -0.125544 | -0.09746 | 0.213141 | -0.154755 | 1.056979 | 0.236661 | -0.082193 | 0.075022 | -0.074739 | 0.848103 | 0.486717 | 1.50565 | 0.244499 | 0.04897 | -0.708559 | -0.422404 | 0.143016 | -0.508562 | -1.705428 | 0.161584 | -0.233076 | 0.653052 | 0.031189 | 0.066558 | -0.064255 | 0.352061 | 0.179602 | 0.236653 | -0.126526 | -0.349708 | 0.118457 | 0.359218 | -0.043631 | -0.179233 | 0.395894 | -0.192775 | -0.106213 | -0.526317 | 0.003506 | -0.077911 | 0.265394 | -0.157143 | -0.735208 | 0.394758 | -0.794081 | -0.440845 | -0.138748 | -0.363978 | -0.190336 | 0.370772 | -0.154246 | -0.273777 | 0.484312 | -1.104116 | -0.095711 | -0.012034 | -2.403782 | -0.580012 | -0.031007 | 0.200644 | -0.137702 | 0.018411 | 0.065901 | -0.098924 | -0.814616 | 0.047833 | 0.238105 | 0.096816 | -0.289144 | -0.081994 | -0.001573 | 0.057437 | -0.40661 | -0.450885 | 0.582009 | -0.269822 | 0.514682 | 0.007245 | 0.065449 | -0.154563 | 0.022892 | -0.013963 | 1.003543 | -0.112581 | -0.028176 | 0.402594 | -0.119349 | 0.208333 | 0.430748 | -0.275535 | -0.455707 | 0.672487 | -0.090304 | 0.000037 | 0.094932 | 0.414054 | 0.399689 | -0.027948 | 0.100543 | -0.120838 | -0.445251 | 0.07873 | -0.151325 | -0.368443 | 0.24595 | -0.452695 | -0.089894 | 0.074754 | -0.157422 | 0.198403 | 0.276388 | -0.538324 | -0.202157 | 0.120894 | -0.152542 | 0.400944 | -0.361713 | -0.056263 | 0.176116 | -0.50774 | -0.312397 | -0.129537 | -0.319709 | -0.050309 | 0.123557 | -0.179282 | -0.181246 | -0.000999 | 0.481263 | 0.384099 | -0.418342 | 0.054281 | -0.227132 | -0.362956 | -0.320916 | -1.074535 | -0.411032 | 0.181108 | 0.101069 | 0.040367 | -0.101658 | 0.103667 | -0.186767 | -0.000511 | 0.497533 | -0.036441 | 0.032815 | -0.420906 | -0.256896 | -0.072677 | 0.472208 | -0.145339 | -0.223362 | 0.291726 | -0.333907 | -0.036602 | -0.184771 | 0.243721 | -0.861994 | -0.227354 | 0.241941 | 0.128528 | -0.251119 | 0.39189 | 0.215022 | 0.029057 |
5,096 | -0.241385 | -0.16159 | -0.30148 | -0.216324 | 0.43386 | -0.018341 | 0.58781 | 0.208682 | -0.24764 | -0.185936 | 0.290907 | -0.288563 | -0.014703 | 0.088776 | 0.689525 | -0.108398 | 0.254265 | -0.263575 | 0.241625 | 0.317762 | -0.862769 | -0.165114 | 0.297452 | 0.425413 | 0.060478 | -0.03196 | 0.280491 | -0.554553 | 0.05301 | -0.26451 | 0.149109 | 0.173054 | 0.240731 | 0.657326 | -0.742737 | 0.210306 | 0.215759 | 0.239724 | -0.343687 | 1.102421 | 0.242929 | 0.315859 | -0.316701 | 0.031552 | -0.500294 | 1.120441 | 0.072184 | 0.315231 | 0.381532 | 0.3693 | -0.487332 | 0.284769 | 0.408037 | -0.374084 | 0.052044 | -0.34984 | -0.236889 | -0.061569 | 0.811964 | -0.522481 | 0.034817 | -0.190245 | 0.129377 | 0.503275 | -0.047767 | -0.104138 | 0.155098 | 0.947513 | 0.151338 | 0.094647 | 0.142802 | -0.301648 | 0.255252 | 0.256523 | 0.258884 | -0.449972 | -0.293663 | 0.052787 | 0.049347 | 0.324673 | 0.312322 | -0.118498 | 0.709367 | -0.017418 | 0.216527 | 0.234148 | 1.066246 | 0.367232 | 0.317532 | 0.453633 | 0.496947 | -0.487176 | -5.166424 | -0.117211 | 0.035987 | 0.458438 | -0.143916 | 0.103336 | -0.023496 | -0.872427 | 0.322336 | -0.217264 | 0.176175 | 0.016206 | -0.390873 | 0.255376 | 0.471876 | 0.270338 | 0.486414 | 0.014434 | 0.112857 | 0.478168 | 0.347933 | 0.013059 | 0.141779 | 0.298562 | -0.183325 | -0.77008 | 0.056232 | 0.382031 | -0.103388 | 0.765141 | -0.243873 | 0.180447 | -0.139181 | -0.481482 | -0.158757 | 0.057528 | -0.082008 | 0.617836 | 0.043221 | 0.545417 | 0.072387 | 0.857598 | -0.085098 | -0.10221 | 0.597649 | 0.713719 | -0.06885 | -0.244373 | -0.04186 | -0.48892 | -0.052273 | 0.003836 | -0.116735 | -0.115398 | -0.249374 | 0.574646 | 0.296837 | 0.029798 | 0.211327 | -0.720483 | 0.761934 | 0.076051 | -0.195263 | 0.115171 | -0.084702 | -0.004667 | -0.74009 | -0.268273 | 0.065589 | -0.511083 | -0.295881 | -0.369144 | -0.025654 | 0.185277 | -0.021813 | 0.675563 | 0.031243 | 0.428017 | -0.33663 | -0.165798 | -0.524837 | 0.111892 | -0.219003 | -0.378904 | 0.151549 | -0.229327 | 0.126159 | 0.881003 | 0.199229 | 0.377681 | -0.279289 | -0.271894 | 0.246041 | 0.27871 | -0.204833 | -0.270429 | -0.116197 | 0.12016 | 0.04136 | 0.296151 | 0.10161 | -0.328456 | 0.089251 | 0.055829 | -0.06878 | -0.241405 | -0.689663 | 0.108766 | -0.54834 | 0.209404 | -0.180951 | 0.860586 | -0.437187 | -0.104443 | 0.283497 | -0.221276 | -0.023451 | -0.386232 | 0.024519 | 0.09982 | 0.549493 | 0.161619 | -0.303623 | 0.488662 | 0.167633 | 0.193234 | -0.689593 | -0.091397 | 0.815829 | -0.179394 | -0.152697 | 0.04416 | -0.063168 | 0.148979 | 0.187337 | -0.454269 | 0.130822 | 0.047444 | 0.214982 | 0.696851 | 0.211784 | 0.77843 | 0.294328 | -0.584757 | 0.265173 | 0.154627 | 0.059989 | -0.299529 | 0.251657 | 0.329077 | 0.168442 | -0.02583 | -0.339424 | -0.108193 | -0.102523 | -0.705074 | 0.288555 | -0.094401 | 0.061357 | -0.223663 | 0.277201 | 0.012761 | -0.181235 | -0.286503 | -0.150376 | -0.013778 | -1.281306 | -0.082188 | -0.207003 | -0.039941 | -0.047283 | -0.164159 | 0.113357 | -0.25349 | -0.772568 | -0.322101 | 0.281313 | -0.068282 | 0.32371 | -0.31602 | -0.855356 | -0.039597 | 0.23178 | 0.199739 | -0.105777 | -0.4239 | -0.413219 | -0.27715 | -0.088818 | 0.408773 | -0.439132 | -0.096696 | 0.15335 | 0.166779 | 1.188869 | 0.326975 | 0.118039 | -0.243541 | 0.080787 | -0.260491 | 0.575763 | -0.028486 | 0.023467 | 0.012586 | -0.287441 | 0.189812 | 0.063118 | 0.030525 | 0.212578 | 0.115732 | -0.371021 | -0.104473 | -0.311646 | -0.297595 | -0.337156 | 0.204932 | 0.090483 | 0.322099 | 0.353197 | -0.403955 | 0.856523 | 0.513069 | 0.307455 | 0.373947 | -0.378947 | 0.386004 | -0.290049 | 0.160779 | -0.539856 | -0.569217 | 0.16343 | 0.203132 | -0.161826 | 0.129649 | 0.079016 | 0.517669 | 0.108635 | -0.166578 | -0.709457 | 0.205875 | -0.010906 | -0.601819 | 0.548036 | 0.311721 | -0.07725 | 0.712254 | -0.592178 | 0.258455 | -0.101902 | -0.700097 | 0.392522 | -0.025801 | 0.451985 | -0.388417 | 0.234684 | 0.452597 | 0.275161 | -0.030277 | -0.548638 | 0.391443 | -0.038007 | 0.004326 | 0.055749 | 0.790232 | -0.257566 | 1.54003 | 0.009995 | 0.051698 | -0.196148 | -0.209986 | 0.021255 | -0.003939 | -1.19356 | -0.197456 | -0.508793 | 0.817514 | 0.584026 | 0.006943 | 0.04959 | 0.235992 | -0.448193 | 0.247834 | 0.041284 | -0.347453 | 1.023306 | 0.010595 | 0.548216 | -0.096732 | 0.033303 | 0.019578 | 0.160926 | -0.18526 | 0.081265 | -0.098473 | -0.028521 | 0.013127 | 0.192504 | -0.29964 | -0.136964 | -0.618173 | -0.142286 | 0.295205 | 0.068063 | 0.174852 | -0.333156 | -0.082299 | 0.436287 | -0.908192 | -0.095469 | 0.049134 | -1.471357 | 0.265656 | -0.207985 | 0.174256 | 0.344546 | 0.503711 | -0.682343 | 0.008546 | -0.714002 | -0.015757 | -0.207274 | 0.009224 | -0.17664 | 0.274616 | 0.364472 | 0.064879 | -0.541151 | -0.444035 | 0.218149 | -0.231254 | 0.061913 | 0.103963 | 0.069566 | 0.166923 | 0.464789 | -0.468986 | 0.052549 | -0.137862 | -0.253341 | 0.09731 | -0.357428 | -0.360408 | 0.215869 | -0.043403 | 0.515774 | 0.287081 | -0.030236 | -0.171135 | -0.324107 | 0.198376 | 0.656487 | -0.107841 | 0.13083 | -0.282791 | -0.365861 | 0.254673 | 0.161147 | 0.20783 | 0.062591 | 0.180673 | -0.495695 | 0.292854 | 0.036792 | -0.297566 | 0.096945 | 0.012251 | -0.069329 | 0.644682 | -0.378257 | 0.502137 | 0.579213 | 0.136704 | -0.293929 | 0.154083 | 0.370112 | -0.077339 | -0.4995 | 0.635466 | 0.22193 | 0.27036 | -0.006643 | -0.227648 | 0.672841 | 0.048389 | -0.260548 | -0.267799 | 0.096592 | -0.127019 | -0.056187 | -0.787985 | 0.036087 | -0.036622 | 0.09686 | 0.121796 | 0.267926 | -0.075935 | -0.380584 | -0.122408 | 0.413148 | 0.072842 | 0.525199 | -0.058456 | -0.130898 | 0.124728 | 0.25132 | -0.318513 | -0.211567 | -0.385844 | 0.122963 | 0.213853 | 0.319003 | 0.077653 | -0.290268 | -0.590078 | 0.438203 | -0.685061 | -0.440378 | 0.061402 | -0.115114 | 0.002935 |
4,021 | 0.057023 | -0.315022 | 0.306876 | -0.365681 | 0.554589 | -0.431197 | -0.182805 | -0.278638 | -0.041597 | 0.170607 | 0.161198 | -0.059478 | 0.073662 | 0.030168 | -0.170749 | -0.324131 | 0.644695 | -0.336678 | -0.257225 | -0.161515 | -0.686374 | -0.007174 | 0.020942 | -0.233486 | 0.04289 | 0.553073 | -0.30983 | 0.221924 | 0.041064 | -0.484358 | 0.308823 | -0.20323 | -0.052445 | 0.514789 | -0.430335 | -0.037715 | 0.081362 | 0.462221 | -0.111304 | 1.534388 | -0.378777 | -0.406939 | -0.378094 | 0.164065 | -0.435388 | 1.046611 | -0.06908 | -0.312105 | -0.752826 | -0.063489 | 0.087329 | 0.770742 | -0.150124 | 0.137591 | -0.465513 | 0.023442 | -0.166091 | 0.022486 | 0.092337 | -0.096245 | -0.846398 | -0.091463 | 0.332096 | 0.444938 | 0.137726 | 0.218936 | 0.261916 | 1.05058 | -0.273414 | -0.317455 | -0.164708 | 0.365751 | -0.181985 | 0.035411 | 0.455429 | -0.199383 | -0.423496 | -0.011304 | -0.166255 | 0.427839 | -0.093662 | 0.290259 | 0.380813 | -0.562334 | 0.065805 | -0.217798 | 0.834502 | -0.063969 | -0.258972 | 0.606452 | -0.438507 | 0.190477 | -4.939981 | -0.310168 | -0.41359 | 0.111684 | -0.059583 | -0.207742 | -0.016514 | -1.524292 | -0.261457 | -0.130791 | 0.15954 | -0.001692 | -0.513287 | 0.008962 | 0.237456 | -0.641779 | -0.116241 | -0.032307 | -0.515362 | 0.078137 | -0.178155 | -0.219747 | -0.187757 | -0.084571 | -0.484298 | 0.328648 | 0.480713 | -0.195304 | -0.643741 | 0.564971 | 0.060771 | -0.480204 | -0.684073 | -0.189881 | -0.025793 | -0.235397 | -0.237292 | 1.093719 | 0.421337 | 0.175711 | -0.154032 | 0.846544 | -0.116726 | 0.384988 | 0.103417 | 0.519424 | 0.67354 | 0.066587 | -0.030698 | 0.011923 | -0.581118 | -0.126506 | -0.380214 | -0.326512 | 0.276637 | 0.244495 | -0.176348 | -0.269932 | -0.045671 | -0.152616 | 0.78763 | 0.139205 | 0.251756 | -0.430094 | 0.349906 | 0.307743 | -0.415428 | 0.013825 | -0.264918 | -0.287591 | -0.275923 | -0.297575 | 0.290482 | 0.010228 | -0.01421 | 0.274869 | -0.236362 | 0.072464 | -0.017553 | 0.11376 | 0.296634 | 0.116654 | 0.224222 | -0.609126 | 0.110761 | 0.17098 | -0.041841 | 0.175862 | 0.952154 | 0.212101 | 0.393451 | -0.072357 | -0.026879 | -0.298945 | 0.456435 | 0.242853 | -0.036386 | -0.327449 | -0.775052 | 0.155823 | 0.094269 | -0.474546 | 0.296775 | -0.129823 | -0.013648 | -0.300567 | 0.026649 | 0.058451 | -0.059952 | -0.82128 | 0.244481 | 0.072676 | 0.396547 | 0.245163 | -0.240137 | -0.126597 | -0.230355 | 0.253817 | -0.910356 | 0.465088 | 0.016198 | -0.066379 | -0.158731 | 0.256716 | 0.137845 | -0.658455 | -0.435029 | -0.379233 | -0.038569 | -0.392823 | 0.07344 | 0.016924 | -0.521488 | -0.051776 | 0.146663 | 0.255262 | -0.00908 | -0.384183 | -0.032399 | 0.545539 | -0.258123 | 0.496639 | 0.307053 | -0.700209 | 0.206418 | 0.099292 | 0.493156 | -0.343145 | 0.586139 | 0.144506 | -0.685144 | 0.096904 | 0.268721 | -0.721099 | -0.081423 | -0.475274 | -0.340449 | -0.902067 | -0.172891 | 0.094742 | -0.316061 | -0.338866 | 0.202025 | 0.185316 | -0.265639 | -0.357459 | -1.129241 | -0.052653 | 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2,492 | 0.33052 | 0.022259 | -0.072732 | -0.262918 | 0.573264 | -0.367562 | 0.427726 | -0.032726 | -0.421048 | 0.04645 | 0.454206 | -0.803083 | 0.343902 | 0.162654 | 0.699385 | 0.126369 | -0.389165 | -0.278834 | 0.032973 | -0.100004 | -0.559557 | -0.564407 | -0.115864 | -0.284673 | 0.199022 | 0.239054 | 0.21675 | 0.264178 | 0.424857 | -0.392441 | 0.140725 | 0.477821 | 0.175975 | 0.374189 | -0.002546 | -0.203807 | -0.194935 | -0.137098 | 0.0214 | 1.165876 | -0.010719 | -0.004516 | 0.13727 | -0.353901 | -0.425867 | 0.485845 | 0.045572 | 0.562419 | -0.332615 | 0.098544 | -0.027816 | 0.303575 | 0.485288 | -0.456857 | -0.320504 | -0.12753 | 0.119705 | 0.038926 | -0.890422 | 0.242189 | 0.073209 | -0.25216 | 0.08735 | 0.322155 | -0.187011 | -0.065987 | -0.432108 | -0.285178 | -0.314268 | -0.435179 | -0.213662 | 0.347686 | 0.172211 | 0.025495 | 0.371002 | -0.06182 | -0.065179 | -0.341711 | -0.283254 | -0.052253 | 0.389511 | 0.137241 | -0.151451 | 0.590975 | 0.038163 | 0.3272 | 0.120154 | 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| -0.528252 | 0.352515 | 0.130615 | -0.193748 | 0.021226 | 0.171178 | -0.055081 | 0.163047 | -0.017932 | -0.37997 | -0.534807 | 0.305257 | -0.603816 | -0.186902 | -0.346576 | 0.293012 | -0.053853 | 0.224072 | 0.082623 | -0.297166 | 0.050976 | 0.468626 | -0.452407 | -0.330348 | -0.466201 | 0.056341 | -0.382885 | -0.226093 | -0.10996 | 0.440918 | -0.191284 | 0.292652 | -0.15327 | -0.291044 | 0.03356 | 0.080833 | -0.230854 | -0.22323 | -0.467307 | 0.495723 | -0.216327 | -0.354643 | -0.093524 | -0.092141 | 0.536077 | 0.016564 | 0.010433 | 0.507474 | -0.27031 | 0.872216 | 0.371986 | 0.056649 | -0.138373 | 0.277653 | 0.383475 | -0.813799 | 0.222541 | 0.388087 | -0.045474 | 0.148258 | -0.373494 | 0.265157 | 0.211689 | -0.140365 | -0.066814 | -0.011205 | 0.017335 | -0.572152 | 0.36105 | 0.034874 | -0.692908 | 0.10009 | 0.245566 | -0.344151 | -0.150222 | 0.216911 | 0.081977 | 0.065461 | -0.196249 | -0.11342 | 0.782959 | -0.066421 | -0.010394 | 0.69498 | -0.605645 | -0.041165 | -0.100413 | 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🍿 Popcorn Thumbnails Embeddings
This dataset contains deep visual features obtained from +65000 movie thumbnails. It contains extracted visual features using modern VLMs. To simply load it, Popcorn framework has been developed that can be used in movie recommendation, information retrieval, classification, etc tasks.
📚 Citation
@article{popcorn,
title={Popcorn: A Configurable Benchmark for Visual Evidence in Multimodal Movie Recommendation},
author={Tourani, Ali and Nazary, Fatemeh and Deldjoo, Yashar and Di Noia, Tommaso},
journal={arXiv preprint arXiv:2606.09595},
year={2026},
doi={https://doi.org/10.48550/arXiv.2606.09595}
}
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