Fix link in `load_dataset` docstring
_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) | 0.008935 / 0.011353 (-0.002417) | 0.004582 / 0.011008 (-0.006426) | 0.100950 / 0.038508 (0.062442) | 0.030305 / 0.023109 (0.007196) | 0.299759 / 0.275898 (0.023861) | 0.378577 / 0.323480 (0.055097) | 0.007834 / 0.007986 (-0.000152) | 0.003399 / 0.004328 (-0.000930) | 0.078568 / 0.004250 (0.074318) | 0.037990 / 0.037052 (0.000938) | 0.313025 / 0.258489 (0.054536) | 0.359543 / 0.293841 (0.065702) | 0.033631 / 0.128546 (-0.094916) | 0.011681 / 0.075646 (-0.063966) | 0.324542 / 0.419271 (-0.094729) | 0.041014 / 0.043533 (-0.002519) | 0.302884 / 0.255139 (0.047745) | 0.337059 / 0.283200 (0.053859) | 0.089403 / 0.141683 (-0.052280) | 1.491262 / 1.452155 (0.039108) | 1.521626 / 1.492716 (0.028910) |

### 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) | 0.172627 / 0.018006 (0.154621) | 0.419406 / 0.000490 (0.418917) | 0.001974 / 0.000200 (0.001775) | 0.000070 / 0.000054 (0.000016) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.023598 / 0.037411 (-0.013814) | 0.098127 / 0.014526 (0.083601) | 0.105611 / 0.176557 (-0.070946) | 0.142612 / 0.737135 (-0.594523) | 0.121687 / 0.296338 (-0.174651) |

### 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) | 0.418512 / 0.215209 (0.203303) | 4.173099 / 2.077655 (2.095444) | 1.865900 / 1.504120 (0.361780) | 1.664053 / 1.541195 (0.122858) | 1.726289 / 1.468490 (0.257799) | 0.693214 / 4.584777 (-3.891563) | 3.499982 / 3.745712 (-0.245730) | 1.894278 / 5.269862 (-3.375583) | 1.178214 / 4.565676 (-3.387463) | 0.082391 / 0.424275 (-0.341884) | 0.012486 / 0.007607 (0.004878) | 0.532190 / 0.226044 (0.306145) | 5.286612 / 2.268929 (3.017684) | 2.316680 / 55.444624 (-53.127944) | 1.964020 / 6.876477 (-4.912457) | 2.016457 / 2.142072 (-0.125616) | 0.812290 / 4.805227 (-3.992937) | 0.149102 / 6.500664 (-6.351562) | 0.064215 / 0.075469 (-0.011254) |

### 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) | 1.281919 / 1.841788 (-0.559869) | 14.107509 / 8.074308 (6.033201) | 13.892369 / 10.191392 (3.700977) | 0.146164 / 0.680424 (-0.534260) | 0.028740 / 0.534201 (-0.505460) | 0.395218 / 0.579283 (-0.184066) | 0.406321 / 0.434364 (-0.028043) | 0.460880 / 0.540337 (-0.079458) | 0.545975 / 1.386936 (-0.840961) |

</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) | 0.006797 / 0.011353 (-0.004556) | 0.004522 / 0.011008 (-0.006486) | 0.098440 / 0.038508 (0.059932) | 0.027722 / 0.023109 (0.004613) | 0.423995 / 0.275898 (0.148097) | 0.456164 / 0.323480 (0.132684) | 0.005156 / 0.007986 (-0.002830) | 0.003439 / 0.004328 (-0.000889) | 0.075307 / 0.004250 (0.071057) | 0.039599 / 0.037052 (0.002547) | 0.423671 / 0.258489 (0.165181) | 0.463841 / 0.293841 (0.170001) | 0.032473 / 0.128546 (-0.096073) | 0.011674 / 0.075646 (-0.063972) | 0.320548 / 0.419271 (-0.098723) | 0.041618 / 0.043533 (-0.001915) | 0.426133 / 0.255139 (0.170994) | 0.443018 / 0.283200 (0.159819) | 0.091103 / 0.141683 (-0.050579) | 1.468758 / 1.452155 (0.016604) | 1.532695 / 1.492716 (0.039978) |

### 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) | 0.255314 / 0.018006 (0.237308) | 0.422982 / 0.000490 (0.422492) | 0.015405 / 0.000200 (0.015205) | 0.000103 / 0.000054 (0.000049) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.025260 / 0.037411 (-0.012152) | 0.102062 / 0.014526 (0.087537) | 0.108161 / 0.176557 (-0.068395) | 0.144205 / 0.737135 (-0.592930) | 0.111686 / 0.296338 (-0.184653) |

### 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) | 0.482633 / 0.215209 (0.267424) | 4.824777 / 2.077655 (2.747123) | 2.488626 / 1.504120 (0.984506) | 2.285410 / 1.541195 (0.744215) | 2.336793 / 1.468490 (0.868303) | 0.701894 / 4.584777 (-3.882883) | 3.506908 / 3.745712 (-0.238804) | 3.399789 / 5.269862 (-1.870072) | 1.536359 / 4.565676 (-3.029317) | 0.083621 / 0.424275 (-0.340655) | 0.012702 / 0.007607 (0.005094) | 0.581259 / 0.226044 (0.355215) | 5.829640 / 2.268929 (3.560711) | 2.932201 / 55.444624 (-52.512424) | 2.577175 / 6.876477 (-4.299301) | 2.621782 / 2.142072 (0.479710) | 0.812074 / 4.805227 (-3.993153) | 0.152840 / 6.500664 (-6.347824) | 0.067982 / 0.075469 (-0.007487) |

### 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) | 1.274915 / 1.841788 (-0.566873) | 14.345800 / 8.074308 (6.271492) | 14.242475 / 10.191392 (4.051083) | 0.143636 / 0.680424 (-0.536788) | 0.016824 / 0.534201 (-0.517377) | 0.376449 / 0.579283 (-0.202834) | 0.394219 / 0.434364 (-0.040145) | 0.435368 / 0.540337 (-0.104969) | 0.518393 / 1.386936 (-0.868544) |

</details>
</details>

![](https://cml.dev/watermark.png#187e4faa978fef267a055f6988564f922e51eaa4 "CML watermark")
 I also fixed the rest of the links that point to the markdown files. 

PS: the CI failures are unrelated  <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) | 0.008641 / 0.011353 (-0.002712) | 0.004560 / 0.011008 (-0.006448) | 0.100559 / 0.038508 (0.062051) | 0.029744 / 0.023109 (0.006635) | 0.300580 / 0.275898 (0.024682) | 0.359100 / 0.323480 (0.035620) | 0.007016 / 0.007986 (-0.000970) | 0.003393 / 0.004328 (-0.000936) | 0.078649 / 0.004250 (0.074399) | 0.038138 / 0.037052 (0.001086) | 0.307730 / 0.258489 (0.049241) | 0.347678 / 0.293841 (0.053837) | 0.033630 / 0.128546 (-0.094917) | 0.011452 / 0.075646 (-0.064194) | 0.320903 / 0.419271 (-0.098369) | 0.042659 / 0.043533 (-0.000874) | 0.298886 / 0.255139 (0.043747) | 0.324371 / 0.283200 (0.041171) | 0.092582 / 0.141683 (-0.049101) | 1.490017 / 1.452155 (0.037863) | 1.512825 / 1.492716 (0.020109) |

### 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) | 0.178965 / 0.018006 (0.160958) | 0.420001 / 0.000490 (0.419512) | 0.002686 / 0.000200 (0.002486) | 0.000071 / 0.000054 (0.000017) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.023568 / 0.037411 (-0.013843) | 0.097027 / 0.014526 (0.082502) | 0.104721 / 0.176557 (-0.071836) | 0.148757 / 0.737135 (-0.588378) | 0.110849 / 0.296338 (-0.185489) |

### 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) | 0.415034 / 0.215209 (0.199825) | 4.155249 / 2.077655 (2.077594) | 1.837027 / 1.504120 (0.332907) | 1.627754 / 1.541195 (0.086559) | 1.687958 / 1.468490 (0.219468) | 0.699542 / 4.584777 (-3.885235) | 3.376707 / 3.745712 (-0.369005) | 2.900778 / 5.269862 (-2.369083) | 1.556168 / 4.565676 (-3.009508) | 0.082438 / 0.424275 (-0.341837) | 0.012339 / 0.007607 (0.004732) | 0.524952 / 0.226044 (0.298907) | 5.269852 / 2.268929 (3.000924) | 2.278770 / 55.444624 (-53.165854) | 1.917987 / 6.876477 (-4.958490) | 1.955000 / 2.142072 (-0.187072) | 0.821169 / 4.805227 (-3.984058) | 0.149019 / 6.500664 (-6.351645) | 0.064604 / 0.075469 (-0.010865) |

### 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) | 1.199768 / 1.841788 (-0.642020) | 13.760897 / 8.074308 (5.686589) | 13.911550 / 10.191392 (3.720158) | 0.161727 / 0.680424 (-0.518697) | 0.028615 / 0.534201 (-0.505586) | 0.393917 / 0.579283 (-0.185366) | 0.392524 / 0.434364 (-0.041840) | 0.451763 / 0.540337 (-0.088574) | 0.536880 / 1.386936 (-0.850056) |

</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) | 0.006407 / 0.011353 (-0.004946) | 0.004420 / 0.011008 (-0.006588) | 0.097244 / 0.038508 (0.058736) | 0.027114 / 0.023109 (0.004005) | 0.412512 / 0.275898 (0.136614) | 0.448189 / 0.323480 (0.124709) | 0.005831 / 0.007986 (-0.002155) | 0.005423 / 0.004328 (0.001095) | 0.076051 / 0.004250 (0.071801) | 0.038828 / 0.037052 (0.001776) | 0.414586 / 0.258489 (0.156097) | 0.457196 / 0.293841 (0.163355) | 0.031615 / 0.128546 (-0.096931) | 0.011542 / 0.075646 (-0.064104) | 0.316967 / 0.419271 (-0.102304) | 0.041278 / 0.043533 (-0.002254) | 0.411371 / 0.255139 (0.156232) | 0.436376 / 0.283200 (0.153177) | 0.090212 / 0.141683 (-0.051471) | 1.461831 / 1.452155 (0.009677) | 1.606515 / 1.492716 (0.113799) |

### 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) | 0.221453 / 0.018006 (0.203447) | 0.404140 / 0.000490 (0.403650) | 0.000422 / 0.000200 (0.000222) | 0.000060 / 0.000054 (0.000005) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.024588 / 0.037411 (-0.012824) | 0.098604 / 0.014526 (0.084078) | 0.113682 / 0.176557 (-0.062874) | 0.141141 / 0.737135 (-0.595994) | 0.110069 / 0.296338 (-0.186270) |

### 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) | 0.477267 / 0.215209 (0.262058) | 4.775086 / 2.077655 (2.697431) | 2.445449 / 1.504120 (0.941329) | 2.242220 / 1.541195 (0.701025) | 2.303542 / 1.468490 (0.835051) | 0.693448 / 4.584777 (-3.891329) | 3.413319 / 3.745712 (-0.332393) | 3.052734 / 5.269862 (-2.217127) | 1.434075 / 4.565676 (-3.131602) | 0.082429 / 0.424275 (-0.341846) | 0.012594 / 0.007607 (0.004987) | 0.584259 / 0.226044 (0.358214) | 5.865098 / 2.268929 (3.596169) | 2.926301 / 55.444624 (-52.518324) | 2.572555 / 6.876477 (-4.303921) | 2.608584 / 2.142072 (0.466512) | 0.805029 / 4.805227 (-4.000198) | 0.151247 / 6.500664 (-6.349417) | 0.067142 / 0.075469 (-0.008327) |

### 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) | 1.285454 / 1.841788 (-0.556334) | 14.296425 / 8.074308 (6.222117) | 14.147278 / 10.191392 (3.955886) | 0.151698 / 0.680424 (-0.528726) | 0.016876 / 0.534201 (-0.517325) | 0.383302 / 0.579283 (-0.195981) | 0.388461 / 0.434364 (-0.045902) | 0.438286 / 0.540337 (-0.102051) | 0.525249 / 1.386936 (-0.861687) |

</details>
</details>

![](https://cml.dev/watermark.png#2a3b2f04f1fd62249ac43c534761ce151ad5c269 "CML watermark")
 <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) | 0.008677 / 0.011353 (-0.002676) | 0.004863 / 0.011008 (-0.006145) | 0.096606 / 0.038508 (0.058098) | 0.034004 / 0.023109 (0.010895) | 0.296362 / 0.275898 (0.020464) | 0.323445 / 0.323480 (-0.000035) | 0.007341 / 0.007986 (-0.000644) | 0.005518 / 0.004328 (0.001189) | 0.073584 / 0.004250 (0.069334) | 0.041471 / 0.037052 (0.004419) | 0.302183 / 0.258489 (0.043694) | 0.339369 / 0.293841 (0.045528) | 0.037375 / 0.128546 (-0.091171) | 0.011827 / 0.075646 (-0.063819) | 0.330723 / 0.419271 (-0.088549) | 0.048751 / 0.043533 (0.005218) | 0.298370 / 0.255139 (0.043231) | 0.317781 / 0.283200 (0.034582) | 0.097488 / 0.141683 (-0.044195) | 1.456242 / 1.452155 (0.004088) | 1.530149 / 1.492716 (0.037433) |

### 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) | 0.207053 / 0.018006 (0.189046) | 0.438165 / 0.000490 (0.437675) | 0.001161 / 0.000200 (0.000961) | 0.000078 / 0.000054 (0.000024) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.025353 / 0.037411 (-0.012059) | 0.105536 / 0.014526 (0.091010) | 0.116122 / 0.176557 (-0.060434) | 0.151605 / 0.737135 (-0.585530) | 0.121777 / 0.296338 (-0.174561) |

### 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) | 0.402780 / 0.215209 (0.187571) | 4.017882 / 2.077655 (1.940227) | 1.813111 / 1.504120 (0.308991) | 1.620000 / 1.541195 (0.078805) | 1.649186 / 1.468490 (0.180696) | 0.687523 / 4.584777 (-3.897254) | 3.712595 / 3.745712 (-0.033117) | 2.038535 / 5.269862 (-3.231326) | 1.414794 / 4.565676 (-3.150882) | 0.083357 / 0.424275 (-0.340918) | 0.012032 / 0.007607 (0.004425) | 0.502899 / 0.226044 (0.276854) | 5.038914 / 2.268929 (2.769985) | 2.250476 / 55.444624 (-53.194148) | 1.919954 / 6.876477 (-4.956523) | 1.930928 / 2.142072 (-0.211144) | 0.826634 / 4.805227 (-3.978593) | 0.161599 / 6.500664 (-6.339066) | 0.061356 / 0.075469 (-0.014113) |

### 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) | 1.228998 / 1.841788 (-0.612790) | 14.587914 / 8.074308 (6.513606) | 14.237514 / 10.191392 (4.046122) | 0.190913 / 0.680424 (-0.489510) | 0.029104 / 0.534201 (-0.505097) | 0.436160 / 0.579283 (-0.143123) | 0.431464 / 0.434364 (-0.002900) | 0.511670 / 0.540337 (-0.028668) | 0.609046 / 1.386936 (-0.777890) |

</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) | 0.006980 / 0.011353 (-0.004373) | 0.005260 / 0.011008 (-0.005748) | 0.095288 / 0.038508 (0.056780) | 0.032465 / 0.023109 (0.009356) | 0.410799 / 0.275898 (0.134901) | 0.423814 / 0.323480 (0.100334) | 0.005533 / 0.007986 (-0.002452) | 0.005764 / 0.004328 (0.001436) | 0.070713 / 0.004250 (0.066462) | 0.048193 / 0.037052 (0.011141) | 0.405742 / 0.258489 (0.147253) | 0.458773 / 0.293841 (0.164932) | 0.036415 / 0.128546 (-0.092131) | 0.012192 / 0.075646 (-0.063454) | 0.330655 / 0.419271 (-0.088617) | 0.055945 / 0.043533 (0.012412) | 0.407497 / 0.255139 (0.152358) | 0.421496 / 0.283200 (0.138296) | 0.106285 / 0.141683 (-0.035398) | 1.459837 / 1.452155 (0.007683) | 1.573147 / 1.492716 (0.080431) |

### 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) | 0.205776 / 0.018006 (0.187770) | 0.441523 / 0.000490 (0.441033) | 0.003073 / 0.000200 (0.002873) | 0.000092 / 0.000054 (0.000037) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.029207 / 0.037411 (-0.008205) | 0.110295 / 0.014526 (0.095770) | 0.130233 / 0.176557 (-0.046324) | 0.157489 / 0.737135 (-0.579647) | 0.125374 / 0.296338 (-0.170965) |

### 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) | 0.440942 / 0.215209 (0.225733) | 4.389647 / 2.077655 (2.311992) | 2.234883 / 1.504120 (0.730763) | 2.029510 / 1.541195 (0.488315) | 2.082503 / 1.468490 (0.614013) | 0.698046 / 4.584777 (-3.886731) | 3.769127 / 3.745712 (0.023415) | 2.058511 / 5.269862 (-3.211351) | 1.324302 / 4.565676 (-3.241375) | 0.085695 / 0.424275 (-0.338580) | 0.012122 / 0.007607 (0.004515) | 0.552406 / 0.226044 (0.326362) | 5.527073 / 2.268929 (3.258145) | 2.711354 / 55.444624 (-52.733270) | 2.328848 / 6.876477 (-4.547629) | 2.340750 / 2.142072 (0.198678) | 0.846300 / 4.805227 (-3.958927) | 0.167465 / 6.500664 (-6.333199) | 0.063419 / 0.075469 (-0.012050) |

### 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) | 1.262452 / 1.841788 (-0.579336) | 15.043537 / 8.074308 (6.969229) | 14.212563 / 10.191392 (4.021171) | 0.170229 / 0.680424 (-0.510194) | 0.017696 / 0.534201 (-0.516505) | 0.423194 / 0.579283 (-0.156089) | 0.430908 / 0.434364 (-0.003456) | 0.491733 / 0.540337 (-0.048604) | 0.599267 / 1.386936 (-0.787669) |

</details>
</details>

![](https://cml.dev/watermark.png#2a3b2f04f1fd62249ac43c534761ce151ad5c269 "CML watermark")
 Program enthusiastic 
Fix https://github.com/huggingface/datasets/issues/5387, fix https://github.com/huggingface/datasets/issues/4566