[DOCS] Fix typo: Elasticsearch

[leemthompo]

Not ElasticSearch :)

[albertvillanova]

Thanks.

[HuggingFaceDocBuilderDev]

The documentation is not available anymore as the PR was closed or merged.

[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)	0.006131 / 0.011353 (-0.005222)	0.003682 / 0.011008 (-0.007327)	0.081108 / 0.038508 (0.042600)	0.061580 / 0.023109 (0.038471)	0.395880 / 0.275898 (0.119982)	0.427429 / 0.323480 (0.103949)	0.003570 / 0.007986 (-0.004416)	0.003874 / 0.004328 (-0.000455)	0.063322 / 0.004250 (0.059072)	0.049742 / 0.037052 (0.012690)	0.396547 / 0.258489 (0.138058)	0.434759 / 0.293841 (0.140918)	0.028137 / 0.128546 (-0.100409)	0.008103 / 0.075646 (-0.067544)	0.262504 / 0.419271 (-0.156767)	0.045944 / 0.043533 (0.002411)	0.397659 / 0.255139 (0.142520)	0.416479 / 0.283200 (0.133280)	0.022870 / 0.141683 (-0.118813)	1.478280 / 1.452155 (0.026126)	1.543748 / 1.492716 (0.051031)

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)	0.228851 / 0.018006 (0.210845)	0.432845 / 0.000490 (0.432355)	0.005922 / 0.000200 (0.005722)	0.000227 / 0.000054 (0.000172)

Benchmark: benchmark_indices_mapping.json

metric	select	shard	shuffle	sort	train_test_split
new / old (diff)	0.025545 / 0.037411 (-0.011867)	0.073506 / 0.014526 (0.058980)	0.087622 / 0.176557 (-0.088935)	0.145455 / 0.737135 (-0.591680)	0.085236 / 0.296338 (-0.211102)

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)	0.433083 / 0.215209 (0.217874)	4.323121 / 2.077655 (2.245466)	2.297947 / 1.504120 (0.793827)	2.126405 / 1.541195 (0.585211)	2.201635 / 1.468490 (0.733145)	0.509902 / 4.584777 (-4.074875)	3.116877 / 3.745712 (-0.628835)	2.892949 / 5.269862 (-2.376912)	1.866833 / 4.565676 (-2.698844)	0.058087 / 0.424275 (-0.366189)	0.006464 / 0.007607 (-0.001143)	0.503594 / 0.226044 (0.277550)	5.027634 / 2.268929 (2.758705)	2.718030 / 55.444624 (-52.726595)	2.373876 / 6.876477 (-4.502600)	2.515496 / 2.142072 (0.373423)	0.602648 / 4.805227 (-4.202579)	0.126119 / 6.500664 (-6.374545)	0.060623 / 0.075469 (-0.014846)

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)	1.236429 / 1.841788 (-0.605359)	17.760532 / 8.074308 (9.686224)	13.970093 / 10.191392 (3.778701)	0.145455 / 0.680424 (-0.534969)	0.017110 / 0.534201 (-0.517091)	0.329649 / 0.579283 (-0.249634)	0.366942 / 0.434364 (-0.067421)	0.384418 / 0.540337 (-0.155920)	0.552330 / 1.386936 (-0.834606)

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)	0.006302 / 0.011353 (-0.005051)	0.003677 / 0.011008 (-0.007331)	0.062836 / 0.038508 (0.024328)	0.063317 / 0.023109 (0.040207)	0.449970 / 0.275898 (0.174072)	0.480903 / 0.323480 (0.157423)	0.005013 / 0.007986 (-0.002972)	0.002934 / 0.004328 (-0.001394)	0.062975 / 0.004250 (0.058724)	0.051285 / 0.037052 (0.014233)	0.448417 / 0.258489 (0.189928)	0.486022 / 0.293841 (0.192181)	0.029215 / 0.128546 (-0.099332)	0.008189 / 0.075646 (-0.067457)	0.068203 / 0.419271 (-0.351068)	0.041942 / 0.043533 (-0.001591)	0.445749 / 0.255139 (0.190610)	0.465442 / 0.283200 (0.182243)	0.020681 / 0.141683 (-0.121002)	1.500704 / 1.452155 (0.048549)	1.550511 / 1.492716 (0.057795)

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)	0.224922 / 0.018006 (0.206915)	0.419714 / 0.000490 (0.419224)	0.003804 / 0.000200 (0.003604)	0.000082 / 0.000054 (0.000028)

Benchmark: benchmark_indices_mapping.json

metric	select	shard	shuffle	sort	train_test_split
new / old (diff)	0.026924 / 0.037411 (-0.010487)	0.082400 / 0.014526 (0.067874)	0.092193 / 0.176557 (-0.084363)	0.147045 / 0.737135 (-0.590090)	0.093173 / 0.296338 (-0.203166)

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)	0.462510 / 0.215209 (0.247300)	4.635249 / 2.077655 (2.557594)	2.627127 / 1.504120 (1.123007)	2.442879 / 1.541195 (0.901684)	2.502456 / 1.468490 (1.033966)	0.506607 / 4.584777 (-4.078170)	3.127348 / 3.745712 (-0.618364)	2.901818 / 5.269862 (-2.368044)	1.906876 / 4.565676 (-2.658801)	0.058025 / 0.424275 (-0.366250)	0.006442 / 0.007607 (-0.001165)	0.534438 / 0.226044 (0.308394)	5.352481 / 2.268929 (3.083553)	3.058068 / 55.444624 (-52.386556)	2.697310 / 6.876477 (-4.179167)	2.873141 / 2.142072 (0.731069)	0.594517 / 4.805227 (-4.210710)	0.125369 / 6.500664 (-6.375295)	0.061411 / 0.075469 (-0.014058)

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)	1.369549 / 1.841788 (-0.472238)	17.933507 / 8.074308 (9.859199)	14.890107 / 10.191392 (4.698715)	0.154398 / 0.680424 (-0.526026)	0.018021 / 0.534201 (-0.516180)	0.335163 / 0.579283 (-0.244120)	0.350396 / 0.434364 (-0.083968)	0.397694 / 0.540337 (-0.142643)	0.554853 / 1.386936 (-0.832083)