[MINOR] Typo


Comments:
_The documentation is not available anymore as the PR was closed or merged._

<details>
<summary>Show benchmarks</summary>

PyArrow==6.0.0

<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) | 0.008726 / 0.011353 (-0.002627) | 0.004589 / 0.011008 (-0.006419) | 0.101078 / 0.038508 (0.062570) | 0.029732 / 0.023109 (0.006622) | 0.298309 / 0.275898 (0.022411) | 0.367800 / 0.323480 (0.044320) | 0.007025 / 0.007986 (-0.000961) | 0.003513 / 0.004328 (-0.000815) | 0.079531 / 0.004250 (0.075281) | 0.035588 / 0.037052 (-0.001465) | 0.307850 / 0.258489 (0.049361) | 0.351603 / 0.293841 (0.057762) | 0.033593 / 0.128546 (-0.094954) | 0.011669 / 0.075646 (-0.063977) | 0.323025 / 0.419271 (-0.096246) | 0.042047 / 0.043533 (-0.001486) | 0.300565 / 0.255139 (0.045426) | 0.329362 / 0.283200 (0.046163) | 0.089001 / 0.141683 (-0.052682) | 1.472799 / 1.452155 (0.020644) | 1.488902 / 1.492716 (-0.003814) |

### 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) | 0.012491 / 0.018006 (-0.005515) | 0.408245 / 0.000490 (0.407755) | 0.003878 / 0.000200 (0.003678) | 0.000078 / 0.000054 (0.000023) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.023698 / 0.037411 (-0.013713) | 0.100442 / 0.014526 (0.085916) | 0.108233 / 0.176557 (-0.068323) | 0.145308 / 0.737135 (-0.591827) | 0.113121 / 0.296338 (-0.183218) |

### 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) | 0.420490 / 0.215209 (0.205281) | 4.179838 / 2.077655 (2.102183) | 2.156007 / 1.504120 (0.651887) | 1.911358 / 1.541195 (0.370163) | 1.867961 / 1.468490 (0.399471) | 0.685254 / 4.584777 (-3.899523) | 3.382386 / 3.745712 (-0.363326) | 3.285657 / 5.269862 (-1.984205) | 1.693878 / 4.565676 (-2.871798) | 0.081680 / 0.424275 (-0.342595) | 0.012182 / 0.007607 (0.004575) | 0.526021 / 0.226044 (0.299977) | 5.276217 / 2.268929 (3.007289) | 2.541518 / 55.444624 (-52.903106) | 2.313452 / 6.876477 (-4.563025) | 2.340000 / 2.142072 (0.197928) | 0.807099 / 4.805227 (-3.998128) | 0.147587 / 6.500664 (-6.353077) | 0.064280 / 0.075469 (-0.011189) |

### 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) | 1.223466 / 1.841788 (-0.618321) | 13.911365 / 8.074308 (5.837057) | 14.261550 / 10.191392 (4.070158) | 0.135922 / 0.680424 (-0.544502) | 0.028832 / 0.534201 (-0.505368) | 0.393142 / 0.579283 (-0.186141) | 0.400507 / 0.434364 (-0.033857) | 0.471792 / 0.540337 (-0.068546) | 0.558278 / 1.386936 (-0.828658) |

</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) | 0.006644 / 0.011353 (-0.004709) | 0.004531 / 0.011008 (-0.006478) | 0.076285 / 0.038508 (0.037777) | 0.027249 / 0.023109 (0.004140) | 0.343137 / 0.275898 (0.067239) | 0.378498 / 0.323480 (0.055018) | 0.004950 / 0.007986 (-0.003036) | 0.003422 / 0.004328 (-0.000907) | 0.075662 / 0.004250 (0.071412) | 0.039692 / 0.037052 (0.002640) | 0.343402 / 0.258489 (0.084913) | 0.385067 / 0.293841 (0.091226) | 0.032382 / 0.128546 (-0.096164) | 0.011577 / 0.075646 (-0.064069) | 0.085534 / 0.419271 (-0.333738) | 0.052139 / 0.043533 (0.008606) | 0.342176 / 0.255139 (0.087037) | 0.367298 / 0.283200 (0.084098) | 0.096088 / 0.141683 (-0.045595) | 1.470770 / 1.452155 (0.018615) | 1.567316 / 1.492716 (0.074600) |

### 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) | 0.217664 / 0.018006 (0.199657) | 0.397807 / 0.000490 (0.397317) | 0.006864 / 0.000200 (0.006664) | 0.000099 / 0.000054 (0.000044) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.025064 / 0.037411 (-0.012348) | 0.100906 / 0.014526 (0.086380) | 0.107444 / 0.176557 (-0.069113) | 0.143679 / 0.737135 (-0.593457) | 0.112460 / 0.296338 (-0.183879) |

### 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) | 0.442634 / 0.215209 (0.227425) | 4.410687 / 2.077655 (2.333032) | 2.067445 / 1.504120 (0.563325) | 1.860569 / 1.541195 (0.319374) | 1.943523 / 1.468490 (0.475033) | 0.694585 / 4.584777 (-3.890192) | 3.375906 / 3.745712 (-0.369806) | 3.483334 / 5.269862 (-1.786528) | 1.437700 / 4.565676 (-3.127977) | 0.083138 / 0.424275 (-0.341137) | 0.012979 / 0.007607 (0.005372) | 0.536414 / 0.226044 (0.310370) | 5.379872 / 2.268929 (3.110943) | 2.517907 / 55.444624 (-52.926717) | 2.164772 / 6.876477 (-4.711705) | 2.212839 / 2.142072 (0.070767) | 0.799675 / 4.805227 (-4.005553) | 0.150253 / 6.500664 (-6.350411) | 0.067033 / 0.075469 (-0.008436) |

### 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) | 1.295592 / 1.841788 (-0.546196) | 14.372932 / 8.074308 (6.298623) | 13.618423 / 10.191392 (3.427031) | 0.141212 / 0.680424 (-0.539212) | 0.016933 / 0.534201 (-0.517268) | 0.385664 / 0.579283 (-0.193619) | 0.386919 / 0.434364 (-0.047445) | 0.477022 / 0.540337 (-0.063315) | 0.565158 / 1.386936 (-0.821778) |

</details>
</details>

![](https://cml.dev/watermark.png#38c715cc787a81d0fd894205b4b24aca2f45f84b "CML watermark")