docs: add reference Git over SSH

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see https://discuss.huggingface.co/t/update-datasets-getting-started-to-new-git-security/65893

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Show benchmarks

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)	0.005701 / 0.011353 (-0.005652)	0.003546 / 0.011008 (-0.007463)	0.063335 / 0.038508 (0.024827)	0.051987 / 0.023109 (0.028878)	0.240429 / 0.275898 (-0.035469)	0.260659 / 0.323480 (-0.062820)	0.003866 / 0.007986 (-0.004120)	0.002617 / 0.004328 (-0.001712)	0.048653 / 0.004250 (0.044403)	0.038176 / 0.037052 (0.001124)	0.245496 / 0.258489 (-0.012993)	0.277141 / 0.293841 (-0.016700)	0.027886 / 0.128546 (-0.100660)	0.010738 / 0.075646 (-0.064908)	0.211255 / 0.419271 (-0.208016)	0.045205 / 0.043533 (0.001672)	0.243062 / 0.255139 (-0.012077)	0.262877 / 0.283200 (-0.020323)	0.023426 / 0.141683 (-0.118257)	1.092247 / 1.452155 (-0.359908)	1.161074 / 1.492716 (-0.331642)

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)	0.090488 / 0.018006 (0.072482)	0.300993 / 0.000490 (0.300504)	0.000212 / 0.000200 (0.000012)	0.000044 / 0.000054 (-0.000011)

Benchmark: benchmark_indices_mapping.json

metric	select	shard	shuffle	sort	train_test_split
new / old (diff)	0.018543 / 0.037411 (-0.018868)	0.061418 / 0.014526 (0.046892)	0.073242 / 0.176557 (-0.103314)	0.120757 / 0.737135 (-0.616378)	0.073967 / 0.296338 (-0.222372)

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)	0.282341 / 0.215209 (0.067132)	2.741106 / 2.077655 (0.663451)	1.416573 / 1.504120 (-0.087547)	1.287904 / 1.541195 (-0.253291)	1.309425 / 1.468490 (-0.159065)	0.582592 / 4.584777 (-4.002184)	2.404866 / 3.745712 (-1.340846)	2.895397 / 5.269862 (-2.374464)	1.799864 / 4.565676 (-2.765812)	0.064386 / 0.424275 (-0.359889)	0.004920 / 0.007607 (-0.002687)	0.330879 / 0.226044 (0.104835)	3.287064 / 2.268929 (1.018135)	1.765169 / 55.444624 (-53.679456)	1.490442 / 6.876477 (-5.386034)	1.530960 / 2.142072 (-0.611113)	0.655939 / 4.805227 (-4.149288)	0.118529 / 6.500664 (-6.382135)	0.042350 / 0.075469 (-0.033119)

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)	0.959027 / 1.841788 (-0.882761)	11.911284 / 8.074308 (3.836976)	10.576898 / 10.191392 (0.385506)	0.141038 / 0.680424 (-0.539386)	0.014184 / 0.534201 (-0.520017)	0.305335 / 0.579283 (-0.273948)	0.267531 / 0.434364 (-0.166832)	0.353362 / 0.540337 (-0.186975)	0.466258 / 1.386936 (-0.920678)

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)	0.005194 / 0.011353 (-0.006159)	0.003561 / 0.011008 (-0.007448)	0.049181 / 0.038508 (0.010673)	0.056664 / 0.023109 (0.033555)	0.267142 / 0.275898 (-0.008756)	0.291871 / 0.323480 (-0.031609)	0.003996 / 0.007986 (-0.003990)	0.003147 / 0.004328 (-0.001181)	0.048527 / 0.004250 (0.044276)	0.040239 / 0.037052 (0.003187)	0.269728 / 0.258489 (0.011239)	0.295531 / 0.293841 (0.001690)	0.030316 / 0.128546 (-0.098231)	0.010666 / 0.075646 (-0.064981)	0.058176 / 0.419271 (-0.361095)	0.033218 / 0.043533 (-0.010315)	0.265383 / 0.255139 (0.010244)	0.285102 / 0.283200 (0.001902)	0.018295 / 0.141683 (-0.123388)	1.117830 / 1.452155 (-0.334325)	1.196919 / 1.492716 (-0.295798)

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)	0.088547 / 0.018006 (0.070541)	0.293220 / 0.000490 (0.292730)	0.000211 / 0.000200 (0.000011)	0.000043 / 0.000054 (-0.000012)

Benchmark: benchmark_indices_mapping.json

metric	select	shard	shuffle	sort	train_test_split
new / old (diff)	0.022060 / 0.037411 (-0.015351)	0.071973 / 0.014526 (0.057448)	0.081721 / 0.176557 (-0.094836)	0.119990 / 0.737135 (-0.617145)	0.081639 / 0.296338 (-0.214700)

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)	0.293712 / 0.215209 (0.078503)	2.872986 / 2.077655 (0.795331)	1.568944 / 1.504120 (0.064824)	1.434555 / 1.541195 (-0.106639)	1.457747 / 1.468490 (-0.010743)	0.559296 / 4.584777 (-4.025481)	2.471845 / 3.745712 (-1.273867)	2.840916 / 5.269862 (-2.428946)	1.754909 / 4.565676 (-2.810768)	0.064585 / 0.424275 (-0.359690)	0.004992 / 0.007607 (-0.002615)	0.349149 / 0.226044 (0.123104)	3.385906 / 2.268929 (1.116977)	1.940644 / 55.444624 (-53.503980)	1.638300 / 6.876477 (-5.238177)	1.649939 / 2.142072 (-0.492133)	0.645680 / 4.805227 (-4.159547)	0.118080 / 6.500664 (-6.382584)	0.040643 / 0.075469 (-0.034826)

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)	0.969965 / 1.841788 (-0.871822)	12.099766 / 8.074308 (4.025457)	10.550650 / 10.191392 (0.359258)	0.131736 / 0.680424 (-0.548688)	0.015483 / 0.534201 (-0.518718)	0.289231 / 0.579283 (-0.290052)	0.287505 / 0.434364 (-0.146858)	0.327326 / 0.540337 (-0.213011)	0.570364 / 1.386936 (-0.816572)