fixing the issue 6755(small typo)

Fixed the issue #6755 on the typo mistake

Comments:
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6767). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.

<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) | 0.005526 / 0.011353 (-0.005827) | 0.003839 / 0.011008 (-0.007169) | 0.064027 / 0.038508 (0.025519) | 0.032316 / 0.023109 (0.009206) | 0.250707 / 0.275898 (-0.025191) | 0.269222 / 0.323480 (-0.054258) | 0.004335 / 0.007986 (-0.003651) | 0.002703 / 0.004328 (-0.001626) | 0.049621 / 0.004250 (0.045370) | 0.047499 / 0.037052 (0.010446) | 0.262362 / 0.258489 (0.003873) | 0.292765 / 0.293841 (-0.001076) | 0.028661 / 0.128546 (-0.099885) | 0.010835 / 0.075646 (-0.064811) | 0.208910 / 0.419271 (-0.210362) | 0.036624 / 0.043533 (-0.006909) | 0.247448 / 0.255139 (-0.007691) | 0.270593 / 0.283200 (-0.012607) | 0.018988 / 0.141683 (-0.122695) | 1.141224 / 1.452155 (-0.310931) | 1.204944 / 1.492716 (-0.287772) |

### 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) | 0.096324 / 0.018006 (0.078318) | 0.292495 / 0.000490 (0.292006) | 0.000232 / 0.000200 (0.000032) | 0.000043 / 0.000054 (-0.000012) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.018379 / 0.037411 (-0.019032) | 0.065216 / 0.014526 (0.050690) | 0.074071 / 0.176557 (-0.102486) | 0.120793 / 0.737135 (-0.616343) | 0.075882 / 0.296338 (-0.220456) |

### 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) | 0.286354 / 0.215209 (0.071145) | 2.800766 / 2.077655 (0.723111) | 1.474126 / 1.504120 (-0.029994) | 1.358232 / 1.541195 (-0.182963) | 1.400639 / 1.468490 (-0.067851) | 0.578354 / 4.584777 (-4.006423) | 2.454441 / 3.745712 (-1.291271) | 2.927003 / 5.269862 (-2.342859) | 1.826127 / 4.565676 (-2.739550) | 0.063049 / 0.424275 (-0.361226) | 0.005010 / 0.007607 (-0.002597) | 0.342174 / 0.226044 (0.116129) | 3.415900 / 2.268929 (1.146971) | 1.854096 / 55.444624 (-53.590528) | 1.568626 / 6.876477 (-5.307851) | 1.660138 / 2.142072 (-0.481934) | 0.664059 / 4.805227 (-4.141168) | 0.120496 / 6.500664 (-6.380168) | 0.044664 / 0.075469 (-0.030805) |

### 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) | 0.988434 / 1.841788 (-0.853353) | 12.525563 / 8.074308 (4.451255) | 10.016862 / 10.191392 (-0.174530) | 0.134043 / 0.680424 (-0.546381) | 0.014349 / 0.534201 (-0.519852) | 0.287173 / 0.579283 (-0.292110) | 0.266499 / 0.434364 (-0.167865) | 0.325425 / 0.540337 (-0.214912) | 0.418772 / 1.386936 (-0.968164) |

</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) | 0.005675 / 0.011353 (-0.005678) | 0.004238 / 0.011008 (-0.006770) | 0.051048 / 0.038508 (0.012540) | 0.033428 / 0.023109 (0.010319) | 0.283406 / 0.275898 (0.007508) | 0.309321 / 0.323480 (-0.014159) | 0.004354 / 0.007986 (-0.003631) | 0.003101 / 0.004328 (-0.001228) | 0.049369 / 0.004250 (0.045119) | 0.043252 / 0.037052 (0.006200) | 0.293097 / 0.258489 (0.034608) | 0.324392 / 0.293841 (0.030551) | 0.030524 / 0.128546 (-0.098022) | 0.010977 / 0.075646 (-0.064669) | 0.058546 / 0.419271 (-0.360726) | 0.033295 / 0.043533 (-0.010238) | 0.284929 / 0.255139 (0.029790) | 0.302925 / 0.283200 (0.019726) | 0.018586 / 0.141683 (-0.123097) | 1.156552 / 1.452155 (-0.295602) | 1.208856 / 1.492716 (-0.283860) |

### 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) | 0.096938 / 0.018006 (0.078932) | 0.305375 / 0.000490 (0.304886) | 0.000227 / 0.000200 (0.000027) | 0.000044 / 0.000054 (-0.000011) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.022658 / 0.037411 (-0.014754) | 0.078125 / 0.014526 (0.063599) | 0.087892 / 0.176557 (-0.088665) | 0.127745 / 0.737135 (-0.609390) | 0.089806 / 0.296338 (-0.206533) |

### 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) | 0.292434 / 0.215209 (0.077225) | 2.862329 / 2.077655 (0.784674) | 1.607948 / 1.504120 (0.103828) | 1.487179 / 1.541195 (-0.054016) | 1.542234 / 1.468490 (0.073744) | 0.579446 / 4.584777 (-4.005331) | 2.478549 / 3.745712 (-1.267163) | 2.923493 / 5.269862 (-2.346369) | 1.833161 / 4.565676 (-2.732515) | 0.064289 / 0.424275 (-0.359986) | 0.005638 / 0.007607 (-0.001969) | 0.350111 / 0.226044 (0.124067) | 3.436035 / 2.268929 (1.167107) | 1.970592 / 55.444624 (-53.474032) | 1.717474 / 6.876477 (-5.159002) | 1.753150 / 2.142072 (-0.388922) | 0.660495 / 4.805227 (-4.144732) | 0.119302 / 6.500664 (-6.381362) | 0.042633 / 0.075469 (-0.032836) |

### 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) | 1.018761 / 1.841788 (-0.823027) | 12.859834 / 8.074308 (4.785525) | 10.547789 / 10.191392 (0.356397) | 0.131986 / 0.680424 (-0.548438) | 0.016469 / 0.534201 (-0.517732) | 0.288585 / 0.579283 (-0.290698) | 0.270499 / 0.434364 (-0.163865) | 0.325801 / 0.540337 (-0.214537) | 0.416551 / 1.386936 (-0.970385) |

</details>
</details>

![](https://cml.dev/watermark.png#7599f15537b094bfd18de5af7bb2a482c06d7a0e "CML watermark")