Remove token arg from CLI examples

[albertvillanova]

Remove token arg from CLI examples.

Fix #6838.

CC: @Wauplin

[HuggingFaceDocBuilderDev]

The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.

[Wauplin]

Thanks!

[severo]

no >>> here? 😛

[albertvillanova]

There is only input (no output) to be copied/pasted. But I could add it as well, so it is aligned everywhere...

[albertvillanova]

Done.

[github-actions]

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)	0.005311 / 0.011353 (-0.006042)	0.003691 / 0.011008 (-0.007317)	0.063714 / 0.038508 (0.025206)	0.030875 / 0.023109 (0.007766)	0.251210 / 0.275898 (-0.024688)	0.280539 / 0.323480 (-0.042941)	0.004262 / 0.007986 (-0.003724)	0.002723 / 0.004328 (-0.001606)	0.049487 / 0.004250 (0.045237)	0.045655 / 0.037052 (0.008603)	0.264399 / 0.258489 (0.005910)	0.306613 / 0.293841 (0.012772)	0.028513 / 0.128546 (-0.100033)	0.010726 / 0.075646 (-0.064921)	0.210601 / 0.419271 (-0.208670)	0.036918 / 0.043533 (-0.006614)	0.257872 / 0.255139 (0.002733)	0.278951 / 0.283200 (-0.004249)	0.017900 / 0.141683 (-0.123783)	1.096749 / 1.452155 (-0.355406)	1.152603 / 1.492716 (-0.340113)

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)	0.095193 / 0.018006 (0.077187)	0.303919 / 0.000490 (0.303429)	0.000226 / 0.000200 (0.000026)	0.000052 / 0.000054 (-0.000002)

Benchmark: benchmark_indices_mapping.json

metric	select	shard	shuffle	sort	train_test_split
new / old (diff)	0.018558 / 0.037411 (-0.018853)	0.061106 / 0.014526 (0.046580)	0.076233 / 0.176557 (-0.100323)	0.122402 / 0.737135 (-0.614734)	0.075579 / 0.296338 (-0.220760)

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)	0.283586 / 0.215209 (0.068377)	2.766179 / 2.077655 (0.688524)	1.481069 / 1.504120 (-0.023051)	1.355004 / 1.541195 (-0.186191)	1.392940 / 1.468490 (-0.075550)	0.578878 / 4.584777 (-4.005899)	2.432890 / 3.745712 (-1.312822)	2.837912 / 5.269862 (-2.431949)	1.762803 / 4.565676 (-2.802873)	0.063339 / 0.424275 (-0.360937)	0.005392 / 0.007607 (-0.002215)	0.340271 / 0.226044 (0.114227)	3.388371 / 2.268929 (1.119443)	1.862622 / 55.444624 (-53.582002)	1.543209 / 6.876477 (-5.333268)	1.569858 / 2.142072 (-0.572215)	0.651487 / 4.805227 (-4.153740)	0.119048 / 6.500664 (-6.381616)	0.042309 / 0.075469 (-0.033160)

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)	0.991161 / 1.841788 (-0.850627)	11.778857 / 8.074308 (3.704549)	9.586019 / 10.191392 (-0.605373)	0.148093 / 0.680424 (-0.532331)	0.014301 / 0.534201 (-0.519900)	0.287983 / 0.579283 (-0.291301)	0.266070 / 0.434364 (-0.168293)	0.328261 / 0.540337 (-0.212076)	0.417908 / 1.386936 (-0.969028)

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)	0.005252 / 0.011353 (-0.006100)	0.003740 / 0.011008 (-0.007268)	0.049622 / 0.038508 (0.011114)	0.030040 / 0.023109 (0.006931)	0.262224 / 0.275898 (-0.013674)	0.312216 / 0.323480 (-0.011264)	0.004213 / 0.007986 (-0.003773)	0.002737 / 0.004328 (-0.001592)	0.049159 / 0.004250 (0.044908)	0.041060 / 0.037052 (0.004008)	0.275826 / 0.258489 (0.017337)	0.301879 / 0.293841 (0.008038)	0.029364 / 0.128546 (-0.099182)	0.010453 / 0.075646 (-0.065193)	0.058095 / 0.419271 (-0.361176)	0.032898 / 0.043533 (-0.010635)	0.263876 / 0.255139 (0.008737)	0.281686 / 0.283200 (-0.001514)	0.018711 / 0.141683 (-0.122971)	1.126056 / 1.452155 (-0.326098)	1.185125 / 1.492716 (-0.307591)

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)	0.094153 / 0.018006 (0.076147)	0.300719 / 0.000490 (0.300229)	0.000207 / 0.000200 (0.000007)	0.000048 / 0.000054 (-0.000006)

Benchmark: benchmark_indices_mapping.json

metric	select	shard	shuffle	sort	train_test_split
new / old (diff)	0.022610 / 0.037411 (-0.014801)	0.075502 / 0.014526 (0.060977)	0.088858 / 0.176557 (-0.087699)	0.129421 / 0.737135 (-0.607714)	0.089331 / 0.296338 (-0.207007)

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)	0.291595 / 0.215209 (0.076386)	2.864377 / 2.077655 (0.786722)	1.543387 / 1.504120 (0.039267)	1.404273 / 1.541195 (-0.136922)	1.421964 / 1.468490 (-0.046526)	0.579275 / 4.584777 (-4.005502)	0.979212 / 3.745712 (-2.766500)	2.822043 / 5.269862 (-2.447818)	1.745015 / 4.565676 (-2.820661)	0.064626 / 0.424275 (-0.359649)	0.005006 / 0.007607 (-0.002601)	0.345509 / 0.226044 (0.119464)	3.410369 / 2.268929 (1.141440)	1.875930 / 55.444624 (-53.568694)	1.600841 / 6.876477 (-5.275636)	1.611818 / 2.142072 (-0.530254)	0.662277 / 4.805227 (-4.142950)	0.117861 / 6.500664 (-6.382803)	0.041061 / 0.075469 (-0.034408)

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)	1.007834 / 1.841788 (-0.833954)	12.345653 / 8.074308 (4.271345)	9.775237 / 10.191392 (-0.416155)	0.135166 / 0.680424 (-0.545258)	0.016799 / 0.534201 (-0.517402)	0.289235 / 0.579283 (-0.290048)	0.126196 / 0.434364 (-0.308168)	0.382905 / 0.540337 (-0.157432)	0.435248 / 1.386936 (-0.951688)