Fix small typo
State: closed


<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) | 0.005507 / 0.011353 (-0.005845) | 0.003757 / 0.011008 (-0.007251) | 0.063274 / 0.038508 (0.024766) | 0.029720 / 0.023109 (0.006610) | 0.247974 / 0.275898 (-0.027924) | 0.272283 / 0.323480 (-0.051197) | 0.004186 / 0.007986 (-0.003799) | 0.002820 / 0.004328 (-0.001508) | 0.049070 / 0.004250 (0.044820) | 0.050026 / 0.037052 (0.012973) | 0.256501 / 0.258489 (-0.001988) | 0.297082 / 0.293841 (0.003241) | 0.028549 / 0.128546 (-0.099997) | 0.010361 / 0.075646 (-0.065285) | 0.213202 / 0.419271 (-0.206070) | 0.038117 / 0.043533 (-0.005416) | 0.258878 / 0.255139 (0.003739) | 0.282980 / 0.283200 (-0.000220) | 0.018911 / 0.141683 (-0.122772) | 1.118857 / 1.452155 (-0.333298) | 1.157763 / 1.492716 (-0.334953) |

### 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) | 0.004499 / 0.018006 (-0.013507) | 0.310445 / 0.000490 (0.309956) | 0.000218 / 0.000200 (0.000018) | 0.000044 / 0.000054 (-0.000010) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.019275 / 0.037411 (-0.018137) | 0.063257 / 0.014526 (0.048731) | 0.075833 / 0.176557 (-0.100724) | 0.122323 / 0.737135 (-0.614812) | 0.079046 / 0.296338 (-0.217292) |

### 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) | 0.292811 / 0.215209 (0.077602) | 2.903501 / 2.077655 (0.825846) | 1.592434 / 1.504120 (0.088314) | 1.450833 / 1.541195 (-0.090362) | 1.481285 / 1.468490 (0.012795) | 0.570150 / 4.584777 (-4.014627) | 2.388618 / 3.745712 (-1.357094) | 2.699322 / 5.269862 (-2.570540) | 1.781405 / 4.565676 (-2.784272) | 0.063451 / 0.424275 (-0.360824) | 0.004979 / 0.007607 (-0.002628) | 0.353346 / 0.226044 (0.127302) | 3.541217 / 2.268929 (1.272289) | 1.972335 / 55.444624 (-53.472289) | 1.634780 / 6.876477 (-5.241697) | 1.815944 / 2.142072 (-0.326128) | 0.651559 / 4.805227 (-4.153669) | 0.118398 / 6.500664 (-6.382266) | 0.041962 / 0.075469 (-0.033507) |

### 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) | 0.971435 / 1.841788 (-0.870352) | 11.843740 / 8.074308 (3.769431) | 9.716333 / 10.191392 (-0.475059) | 0.145923 / 0.680424 (-0.534501) | 0.015073 / 0.534201 (-0.519128) | 0.293307 / 0.579283 (-0.285976) | 0.265505 / 0.434364 (-0.168859) | 0.327578 / 0.540337 (-0.212760) | 0.436409 / 1.386936 (-0.950527) |

</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) | 0.005647 / 0.011353 (-0.005706) | 0.003669 / 0.011008 (-0.007339) | 0.050234 / 0.038508 (0.011726) | 0.033033 / 0.023109 (0.009924) | 0.269303 / 0.275898 (-0.006595) | 0.282472 / 0.323480 (-0.041008) | 0.004283 / 0.007986 (-0.003703) | 0.002821 / 0.004328 (-0.001507) | 0.050887 / 0.004250 (0.046637) | 0.041618 / 0.037052 (0.004565) | 0.277628 / 0.258489 (0.019139) | 0.310539 / 0.293841 (0.016698) | 0.030036 / 0.128546 (-0.098511) | 0.010401 / 0.075646 (-0.065245) | 0.058845 / 0.419271 (-0.360427) | 0.033676 / 0.043533 (-0.009857) | 0.261148 / 0.255139 (0.006009) | 0.295232 / 0.283200 (0.012032) | 0.018603 / 0.141683 (-0.123080) | 1.132182 / 1.452155 (-0.319972) | 1.173763 / 1.492716 (-0.318953) |

### 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) | 0.100594 / 0.018006 (0.082588) | 0.308101 / 0.000490 (0.307611) | 0.000217 / 0.000200 (0.000017) | 0.000055 / 0.000054 (0.000000) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.023040 / 0.037411 (-0.014371) | 0.080676 / 0.014526 (0.066150) | 0.094687 / 0.176557 (-0.081870) | 0.129780 / 0.737135 (-0.607356) | 0.092241 / 0.296338 (-0.204097) |

### 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) | 0.294799 / 0.215209 (0.079590) | 2.957570 / 2.077655 (0.879915) | 1.576795 / 1.504120 (0.072675) | 1.446869 / 1.541195 (-0.094326) | 1.463133 / 1.468490 (-0.005357) | 0.568511 / 4.584777 (-4.016266) | 1.011502 / 3.745712 (-2.734211) | 2.759571 / 5.269862 (-2.510291) | 1.771738 / 4.565676 (-2.793939) | 0.064104 / 0.424275 (-0.360171) | 0.005160 / 0.007607 (-0.002448) | 0.347554 / 0.226044 (0.121510) | 3.463905 / 2.268929 (1.194976) | 1.931843 / 55.444624 (-53.512781) | 1.622765 / 6.876477 (-5.253712) | 1.809146 / 2.142072 (-0.332926) | 0.653388 / 4.805227 (-4.151839) | 0.122703 / 6.500664 (-6.377961) | 0.041680 / 0.075469 (-0.033790) |

### 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) | 1.000428 / 1.841788 (-0.841359) | 12.503003 / 8.074308 (4.428695) | 10.434802 / 10.191392 (0.243410) | 0.144684 / 0.680424 (-0.535740) | 0.015988 / 0.534201 (-0.518213) | 0.287179 / 0.579283 (-0.292104) | 0.124811 / 0.434364 (-0.309553) | 0.327855 / 0.540337 (-0.212482) | 0.425144 / 1.386936 (-0.961792) |

</details>
</details>

![](https://cml.dev/watermark.png#f7170067f819222153fcd45682db61279bdfe673 "CML watermark")