[DOCS] Fix typo: Elasticsearch
_The documentation is not available anymore as the PR was closed or merged._ <details>
<summary>Show benchmarks</summary>

PyArrow==8.0.0

<details>
<summary>Show updated benchmarks!</summary>

### 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) |

</details>
PyArrow==latest

<details>
<summary>Show updated benchmarks!</summary>

### 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) |

</details>
</details>

![](https://cml.dev/watermark.png#f56fd9d6c877ffa6fb44fb832c13b61227c9cc5b "CML watermark")

Not ElasticSearch :)