remove more script docs

[lhoestq]

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[HuggingFaceDocBuilderDev]

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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)	0.005343 / 0.011353 (-0.006010)	0.003562 / 0.011008 (-0.007447)	0.062785 / 0.038508 (0.024277)	0.031459 / 0.023109 (0.008349)	0.246497 / 0.275898 (-0.029401)	0.268258 / 0.323480 (-0.055222)	0.003201 / 0.007986 (-0.004785)	0.004153 / 0.004328 (-0.000175)	0.049003 / 0.004250 (0.044753)	0.042780 / 0.037052 (0.005728)	0.263857 / 0.258489 (0.005368)	0.278578 / 0.293841 (-0.015263)	0.030357 / 0.128546 (-0.098190)	0.012341 / 0.075646 (-0.063305)	0.206010 / 0.419271 (-0.213262)	0.036244 / 0.043533 (-0.007289)	0.245799 / 0.255139 (-0.009340)	0.265467 / 0.283200 (-0.017733)	0.019473 / 0.141683 (-0.122210)	1.147913 / 1.452155 (-0.304242)	1.209968 / 1.492716 (-0.282749)

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)	0.099393 / 0.018006 (0.081387)	0.300898 / 0.000490 (0.300408)	0.000258 / 0.000200 (0.000058)	0.000044 / 0.000054 (-0.000010)

Benchmark: benchmark_indices_mapping.json

metric	select	shard	shuffle	sort	train_test_split
new / old (diff)	0.018888 / 0.037411 (-0.018523)	0.062452 / 0.014526 (0.047926)	0.073799 / 0.176557 (-0.102757)	0.121297 / 0.737135 (-0.615839)	0.074855 / 0.296338 (-0.221484)

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)	0.283969 / 0.215209 (0.068760)	2.808820 / 2.077655 (0.731165)	1.446106 / 1.504120 (-0.058014)	1.321622 / 1.541195 (-0.219573)	1.348317 / 1.468490 (-0.120173)	0.738369 / 4.584777 (-3.846408)	2.349825 / 3.745712 (-1.395887)	2.913964 / 5.269862 (-2.355897)	1.870585 / 4.565676 (-2.695092)	0.080141 / 0.424275 (-0.344134)	0.005174 / 0.007607 (-0.002433)	0.335977 / 0.226044 (0.109933)	3.356267 / 2.268929 (1.087338)	1.811149 / 55.444624 (-53.633475)	1.510685 / 6.876477 (-5.365792)	1.524960 / 2.142072 (-0.617112)	0.803900 / 4.805227 (-4.001328)	0.138294 / 6.500664 (-6.362370)	0.042241 / 0.075469 (-0.033229)

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)	0.975597 / 1.841788 (-0.866191)	11.395109 / 8.074308 (3.320801)	9.837724 / 10.191392 (-0.353668)	0.141474 / 0.680424 (-0.538950)	0.015075 / 0.534201 (-0.519126)	0.304285 / 0.579283 (-0.274998)	0.267845 / 0.434364 (-0.166519)	0.342808 / 0.540337 (-0.197529)	0.434299 / 1.386936 (-0.952637)

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)	0.005612 / 0.011353 (-0.005741)	0.003808 / 0.011008 (-0.007201)	0.050533 / 0.038508 (0.012024)	0.032635 / 0.023109 (0.009526)	0.265522 / 0.275898 (-0.010376)	0.289763 / 0.323480 (-0.033716)	0.004395 / 0.007986 (-0.003590)	0.002868 / 0.004328 (-0.001460)	0.048443 / 0.004250 (0.044193)	0.040047 / 0.037052 (0.002995)	0.279013 / 0.258489 (0.020524)	0.314499 / 0.293841 (0.020658)	0.032321 / 0.128546 (-0.096225)	0.011902 / 0.075646 (-0.063744)	0.059827 / 0.419271 (-0.359445)	0.034388 / 0.043533 (-0.009145)	0.270660 / 0.255139 (0.015521)	0.290776 / 0.283200 (0.007576)	0.017875 / 0.141683 (-0.123808)	1.188085 / 1.452155 (-0.264070)	1.221384 / 1.492716 (-0.271332)

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)	0.095619 / 0.018006 (0.077613)	0.305331 / 0.000490 (0.304841)	0.000217 / 0.000200 (0.000018)	0.000049 / 0.000054 (-0.000006)

Benchmark: benchmark_indices_mapping.json

metric	select	shard	shuffle	sort	train_test_split
new / old (diff)	0.022481 / 0.037411 (-0.014930)	0.076957 / 0.014526 (0.062431)	0.087830 / 0.176557 (-0.088726)	0.128290 / 0.737135 (-0.608845)	0.090565 / 0.296338 (-0.205774)

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)	0.291861 / 0.215209 (0.076652)	2.869776 / 2.077655 (0.792121)	1.575114 / 1.504120 (0.070994)	1.449873 / 1.541195 (-0.091322)	1.450333 / 1.468490 (-0.018158)	0.723319 / 4.584777 (-3.861458)	0.972603 / 3.745712 (-2.773109)	2.940909 / 5.269862 (-2.328953)	1.889664 / 4.565676 (-2.676012)	0.078654 / 0.424275 (-0.345621)	0.005197 / 0.007607 (-0.002410)	0.344380 / 0.226044 (0.118336)	3.387509 / 2.268929 (1.118580)	1.981590 / 55.444624 (-53.463034)	1.643214 / 6.876477 (-5.233263)	1.640435 / 2.142072 (-0.501638)	0.802037 / 4.805227 (-4.003191)	0.133016 / 6.500664 (-6.367648)	0.040861 / 0.075469 (-0.034608)

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)	1.026372 / 1.841788 (-0.815416)	11.959931 / 8.074308 (3.885623)	10.122523 / 10.191392 (-0.068869)	0.144443 / 0.680424 (-0.535981)	0.015629 / 0.534201 (-0.518572)	0.304802 / 0.579283 (-0.274481)	0.120538 / 0.434364 (-0.313826)	0.343394 / 0.540337 (-0.196943)	0.437544 / 1.386936 (-0.949392)