Fix missing download_config in get_data_patterns

[lhoestq]

Reported in huggingface/dataset-viewer#2607

[HuggingFaceDocBuilderDev]

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[github-actions]

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PyArrow==8.0.0

Show updated benchmarks!

Benchmark: benchmark_array_xd.json

metric	read_batch_formatted_as_numpy after write_array2d	read_batch_formatted_as_numpy after write_flattened_sequence	read_batch_formatted_as_numpy after write_nested_sequence	read_batch_unformated after write_array2d	read_batch_unformated after write_flattened_sequence	read_batch_unformated after write_nested_sequence	read_col_formatted_as_numpy after write_array2d	read_col_formatted_as_numpy after write_flattened_sequence	read_col_formatted_as_numpy after write_nested_sequence	read_col_unformated after write_array2d	read_col_unformated after write_flattened_sequence	read_col_unformated after write_nested_sequence	read_formatted_as_numpy after write_array2d	read_formatted_as_numpy after write_flattened_sequence	read_formatted_as_numpy after write_nested_sequence	read_unformated after write_array2d	read_unformated after write_flattened_sequence	read_unformated after write_nested_sequence	write_array2d	write_flattened_sequence	write_nested_sequence
new / old (diff)	0.005394 / 0.011353 (-0.005959)	0.003780 / 0.011008 (-0.007228)	0.063459 / 0.038508 (0.024951)	0.028883 / 0.023109 (0.005774)	0.239159 / 0.275898 (-0.036739)	0.258123 / 0.323480 (-0.065357)	0.003134 / 0.007986 (-0.004851)	0.003452 / 0.004328 (-0.000876)	0.049255 / 0.004250 (0.045005)	0.042727 / 0.037052 (0.005675)	0.257387 / 0.258489 (-0.001102)	0.280762 / 0.293841 (-0.013079)	0.027921 / 0.128546 (-0.100625)	0.010867 / 0.075646 (-0.064779)	0.207878 / 0.419271 (-0.211393)	0.036003 / 0.043533 (-0.007530)	0.247457 / 0.255139 (-0.007682)	0.260231 / 0.283200 (-0.022969)	0.019741 / 0.141683 (-0.121942)	1.143645 / 1.452155 (-0.308510)	1.188789 / 1.492716 (-0.303927)

Benchmark: benchmark_getitem_100B.json

metric	get_batch_of_1024_random_rows	get_batch_of_1024_rows	get_first_row	get_last_row
new / old (diff)	0.092065 / 0.018006 (0.074059)	0.286021 / 0.000490 (0.285531)	0.000220 / 0.000200 (0.000020)	0.000048 / 0.000054 (-0.000006)

Benchmark: benchmark_indices_mapping.json

metric	select	shard	shuffle	sort	train_test_split
new / old (diff)	0.018934 / 0.037411 (-0.018477)	0.062474 / 0.014526 (0.047949)	0.073384 / 0.176557 (-0.103172)	0.121276 / 0.737135 (-0.615860)	0.077792 / 0.296338 (-0.218546)

Benchmark: benchmark_iterating.json

metric	read 5000	read 50000	read_batch 50000 10	read_batch 50000 100	read_batch 50000 1000	read_formatted numpy 5000	read_formatted pandas 5000	read_formatted tensorflow 5000	read_formatted torch 5000	read_formatted_batch numpy 5000 10	read_formatted_batch numpy 5000 1000	shuffled read 5000	shuffled read 50000	shuffled read_batch 50000 10	shuffled read_batch 50000 100	shuffled read_batch 50000 1000	shuffled read_formatted numpy 5000	shuffled read_formatted_batch numpy 5000 10	shuffled read_formatted_batch numpy 5000 1000
new / old (diff)	0.285352 / 0.215209 (0.070143)	2.783110 / 2.077655 (0.705456)	1.487983 / 1.504120 (-0.016137)	1.364264 / 1.541195 (-0.176930)	1.388757 / 1.468490 (-0.079733)	0.568347 / 4.584777 (-4.016430)	2.402451 / 3.745712 (-1.343261)	2.835577 / 5.269862 (-2.434285)	1.754853 / 4.565676 (-2.810824)	0.063355 / 0.424275 (-0.360920)	0.005010 / 0.007607 (-0.002598)	0.332061 / 0.226044 (0.106016)	3.287121 / 2.268929 (1.018193)	1.829520 / 55.444624 (-53.615104)	1.542669 / 6.876477 (-5.333808)	1.560679 / 2.142072 (-0.581393)	0.642371 / 4.805227 (-4.162856)	0.118636 / 6.500664 (-6.382028)	0.042262 / 0.075469 (-0.033207)

Benchmark: benchmark_map_filter.json

metric	filter	map fast-tokenizer batched	map identity	map identity batched	map no-op batched	map no-op batched numpy	map no-op batched pandas	map no-op batched pytorch	map no-op batched tensorflow
new / old (diff)	0.984803 / 1.841788 (-0.856985)	11.578044 / 8.074308 (3.503735)	9.383428 / 10.191392 (-0.807964)	0.141367 / 0.680424 (-0.539057)	0.014047 / 0.534201 (-0.520154)	0.291505 / 0.579283 (-0.287778)	0.270199 / 0.434364 (-0.164165)	0.329874 / 0.540337 (-0.210463)	0.429386 / 1.386936 (-0.957550)

PyArrow==latest

Show updated benchmarks!

Benchmark: benchmark_array_xd.json

metric	read_batch_formatted_as_numpy after write_array2d	read_batch_formatted_as_numpy after write_flattened_sequence	read_batch_formatted_as_numpy after write_nested_sequence	read_batch_unformated after write_array2d	read_batch_unformated after write_flattened_sequence	read_batch_unformated after write_nested_sequence	read_col_formatted_as_numpy after write_array2d	read_col_formatted_as_numpy after write_flattened_sequence	read_col_formatted_as_numpy after write_nested_sequence	read_col_unformated after write_array2d	read_col_unformated after write_flattened_sequence	read_col_unformated after write_nested_sequence	read_formatted_as_numpy after write_array2d	read_formatted_as_numpy after write_flattened_sequence	read_formatted_as_numpy after write_nested_sequence	read_unformated after write_array2d	read_unformated after write_flattened_sequence	read_unformated after write_nested_sequence	write_array2d	write_flattened_sequence	write_nested_sequence
new / old (diff)	0.005322 / 0.011353 (-0.006031)	0.004023 / 0.011008 (-0.006986)	0.050126 / 0.038508 (0.011618)	0.029937 / 0.023109 (0.006828)	0.275985 / 0.275898 (0.000087)	0.297965 / 0.323480 (-0.025515)	0.004429 / 0.007986 (-0.003557)	0.002729 / 0.004328 (-0.001599)	0.048995 / 0.004250 (0.044744)	0.044940 / 0.037052 (0.007888)	0.288397 / 0.258489 (0.029908)	0.317716 / 0.293841 (0.023875)	0.029705 / 0.128546 (-0.098841)	0.010972 / 0.075646 (-0.064674)	0.058592 / 0.419271 (-0.360680)	0.054640 / 0.043533 (0.011108)	0.276456 / 0.255139 (0.021317)	0.295119 / 0.283200 (0.011919)	0.020032 / 0.141683 (-0.121651)	1.175740 / 1.452155 (-0.276415)	1.227246 / 1.492716 (-0.265471)

Benchmark: benchmark_getitem_100B.json

metric	get_batch_of_1024_random_rows	get_batch_of_1024_rows	get_first_row	get_last_row
new / old (diff)	0.092204 / 0.018006 (0.074197)	0.300344 / 0.000490 (0.299855)	0.000213 / 0.000200 (0.000013)	0.000050 / 0.000054 (-0.000004)

Benchmark: benchmark_indices_mapping.json

metric	select	shard	shuffle	sort	train_test_split
new / old (diff)	0.021540 / 0.037411 (-0.015871)	0.076252 / 0.014526 (0.061726)	0.087582 / 0.176557 (-0.088975)	0.125977 / 0.737135 (-0.611159)	0.090649 / 0.296338 (-0.205689)

Benchmark: benchmark_iterating.json

metric	read 5000	read 50000	read_batch 50000 10	read_batch 50000 100	read_batch 50000 1000	read_formatted numpy 5000	read_formatted pandas 5000	read_formatted tensorflow 5000	read_formatted torch 5000	read_formatted_batch numpy 5000 10	read_formatted_batch numpy 5000 1000	shuffled read 5000	shuffled read 50000	shuffled read_batch 50000 10	shuffled read_batch 50000 100	shuffled read_batch 50000 1000	shuffled read_formatted numpy 5000	shuffled read_formatted_batch numpy 5000 10	shuffled read_formatted_batch numpy 5000 1000
new / old (diff)	0.294544 / 0.215209 (0.079335)	2.883736 / 2.077655 (0.806082)	1.570932 / 1.504120 (0.066812)	1.449082 / 1.541195 (-0.092113)	1.463262 / 1.468490 (-0.005228)	0.559625 / 4.584777 (-4.025152)	2.448593 / 3.745712 (-1.297119)	2.663857 / 5.269862 (-2.606005)	1.757812 / 4.565676 (-2.807865)	0.061999 / 0.424275 (-0.362276)	0.005100 / 0.007607 (-0.002507)	0.343620 / 0.226044 (0.117575)	3.487059 / 2.268929 (1.218130)	1.963078 / 55.444624 (-53.481546)	1.661758 / 6.876477 (-5.214719)	1.799130 / 2.142072 (-0.342942)	0.650194 / 4.805227 (-4.155034)	0.117375 / 6.500664 (-6.383289)	0.040957 / 0.075469 (-0.034512)

Benchmark: benchmark_map_filter.json

metric	filter	map fast-tokenizer batched	map identity	map identity batched	map no-op batched	map no-op batched numpy	map no-op batched pandas	map no-op batched pytorch	map no-op batched tensorflow
new / old (diff)	1.037882 / 1.841788 (-0.803906)	12.239784 / 8.074308 (4.165476)	10.478186 / 10.191392 (0.286794)	0.164446 / 0.680424 (-0.515978)	0.014901 / 0.534201 (-0.519300)	0.302485 / 0.579283 (-0.276798)	0.283994 / 0.434364 (-0.150370)	0.338473 / 0.540337 (-0.201864)	0.468901 / 1.386936 (-0.918035)