Fix fsspec storage_options from load_dataset
_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) | 0.007617 / 0.011353 (-0.003736) | 0.004580 / 0.011008 (-0.006428) | 0.100913 / 0.038508 (0.062405) | 0.087703 / 0.023109 (0.064594) | 0.424159 / 0.275898 (0.148261) | 0.467195 / 0.323480 (0.143715) | 0.006890 / 0.007986 (-0.001096) | 0.003765 / 0.004328 (-0.000564) | 0.077513 / 0.004250 (0.073262) | 0.064889 / 0.037052 (0.027837) | 0.422349 / 0.258489 (0.163860) | 0.477391 / 0.293841 (0.183550) | 0.036025 / 0.128546 (-0.092522) | 0.009939 / 0.075646 (-0.065707) | 0.342409 / 0.419271 (-0.076862) | 0.061568 / 0.043533 (0.018035) | 0.431070 / 0.255139 (0.175931) | 0.462008 / 0.283200 (0.178809) | 0.027480 / 0.141683 (-0.114203) | 1.802271 / 1.452155 (0.350116) | 1.861336 / 1.492716 (0.368620) |

### 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) | 0.255806 / 0.018006 (0.237800) | 0.507969 / 0.000490 (0.507479) | 0.010060 / 0.000200 (0.009860) | 0.000112 / 0.000054 (0.000058) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.032286 / 0.037411 (-0.005125) | 0.104468 / 0.014526 (0.089942) | 0.112707 / 0.176557 (-0.063850) | 0.181285 / 0.737135 (-0.555850) | 0.113180 / 0.296338 (-0.183158) |

### 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) | 0.449265 / 0.215209 (0.234056) | 4.465941 / 2.077655 (2.388287) | 2.177889 / 1.504120 (0.673769) | 1.969864 / 1.541195 (0.428669) | 2.077502 / 1.468490 (0.609011) | 0.561607 / 4.584777 (-4.023170) | 4.281873 / 3.745712 (0.536161) | 4.975352 / 5.269862 (-0.294510) | 2.907121 / 4.565676 (-1.658555) | 0.070205 / 0.424275 (-0.354070) | 0.009164 / 0.007607 (0.001557) | 0.581921 / 0.226044 (0.355876) | 5.538667 / 2.268929 (3.269739) | 2.798853 / 55.444624 (-52.645771) | 2.314015 / 6.876477 (-4.562462) | 2.584836 / 2.142072 (0.442763) | 0.672333 / 4.805227 (-4.132894) | 0.153828 / 6.500664 (-6.346836) | 0.069757 / 0.075469 (-0.005712) |

### 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) | 1.559670 / 1.841788 (-0.282118) | 23.994639 / 8.074308 (15.920331) | 16.856160 / 10.191392 (6.664768) | 0.195555 / 0.680424 (-0.484869) | 0.021586 / 0.534201 (-0.512615) | 0.469295 / 0.579283 (-0.109989) | 0.481582 / 0.434364 (0.047218) | 0.588667 / 0.540337 (0.048329) | 0.734347 / 1.386936 (-0.652589) |

</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) | 0.009614 / 0.011353 (-0.001739) | 0.004616 / 0.011008 (-0.006392) | 0.077223 / 0.038508 (0.038715) | 0.103074 / 0.023109 (0.079965) | 0.447834 / 0.275898 (0.171936) | 0.524696 / 0.323480 (0.201216) | 0.007120 / 0.007986 (-0.000866) | 0.003890 / 0.004328 (-0.000438) | 0.076406 / 0.004250 (0.072156) | 0.073488 / 0.037052 (0.036436) | 0.466221 / 0.258489 (0.207732) | 0.532206 / 0.293841 (0.238365) | 0.037596 / 0.128546 (-0.090950) | 0.010029 / 0.075646 (-0.065617) | 0.084313 / 0.419271 (-0.334959) | 0.060088 / 0.043533 (0.016555) | 0.437792 / 0.255139 (0.182653) | 0.512850 / 0.283200 (0.229650) | 0.032424 / 0.141683 (-0.109259) | 1.762130 / 1.452155 (0.309975) | 1.946097 / 1.492716 (0.453381) |

### 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) | 0.250774 / 0.018006 (0.232768) | 0.506869 / 0.000490 (0.506379) | 0.008232 / 0.000200 (0.008032) | 0.000164 / 0.000054 (0.000110) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.037779 / 0.037411 (0.000368) | 0.111933 / 0.014526 (0.097407) | 0.122385 / 0.176557 (-0.054172) | 0.190372 / 0.737135 (-0.546763) | 0.122472 / 0.296338 (-0.173866) |

### 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) | 0.488502 / 0.215209 (0.273293) | 4.878114 / 2.077655 (2.800459) | 2.504144 / 1.504120 (1.000024) | 2.321077 / 1.541195 (0.779883) | 2.416797 / 1.468490 (0.948307) | 0.583582 / 4.584777 (-4.001195) | 4.277896 / 3.745712 (0.532184) | 3.874780 / 5.269862 (-1.395082) | 2.540099 / 4.565676 (-2.025577) | 0.068734 / 0.424275 (-0.355541) | 0.009158 / 0.007607 (0.001550) | 0.578401 / 0.226044 (0.352357) | 5.763354 / 2.268929 (3.494426) | 3.167771 / 55.444624 (-52.276853) | 2.675220 / 6.876477 (-4.201257) | 2.920927 / 2.142072 (0.778855) | 0.673948 / 4.805227 (-4.131280) | 0.157908 / 6.500664 (-6.342756) | 0.071672 / 0.075469 (-0.003797) |

### 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) | 1.635120 / 1.841788 (-0.206668) | 24.853480 / 8.074308 (16.779172) | 17.162978 / 10.191392 (6.971586) | 0.209577 / 0.680424 (-0.470847) | 0.030110 / 0.534201 (-0.504091) | 0.546970 / 0.579283 (-0.032313) | 0.581912 / 0.434364 (0.147548) | 0.571460 / 0.540337 (0.031123) | 0.823411 / 1.386936 (-0.563525) |

</details>
</details>

![](https://cml.dev/watermark.png#83b792dddd074ccd007c407f942f6870aac7ee84 "CML watermark")
 <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) | 0.006674 / 0.011353 (-0.004679) | 0.004198 / 0.011008 (-0.006810) | 0.084859 / 0.038508 (0.046351) | 0.076065 / 0.023109 (0.052955) | 0.316065 / 0.275898 (0.040167) | 0.352097 / 0.323480 (0.028617) | 0.005610 / 0.007986 (-0.002376) | 0.003600 / 0.004328 (-0.000729) | 0.064921 / 0.004250 (0.060671) | 0.054493 / 0.037052 (0.017441) | 0.318125 / 0.258489 (0.059636) | 0.370183 / 0.293841 (0.076342) | 0.031141 / 0.128546 (-0.097405) | 0.008755 / 0.075646 (-0.066891) | 0.288241 / 0.419271 (-0.131030) | 0.052379 / 0.043533 (0.008846) | 0.328147 / 0.255139 (0.073008) | 0.347548 / 0.283200 (0.064348) | 0.024393 / 0.141683 (-0.117290) | 1.480646 / 1.452155 (0.028492) | 1.575867 / 1.492716 (0.083151) |

### 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) | 0.268978 / 0.018006 (0.250971) | 0.586470 / 0.000490 (0.585980) | 0.003190 / 0.000200 (0.002990) | 0.000081 / 0.000054 (0.000026) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.030595 / 0.037411 (-0.006816) | 0.083037 / 0.014526 (0.068511) | 0.103706 / 0.176557 (-0.072850) | 0.164104 / 0.737135 (-0.573031) | 0.104536 / 0.296338 (-0.191802) |

### 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) | 0.382274 / 0.215209 (0.167065) | 3.811878 / 2.077655 (1.734223) | 1.840098 / 1.504120 (0.335978) | 1.670949 / 1.541195 (0.129754) | 1.763755 / 1.468490 (0.295264) | 0.479526 / 4.584777 (-4.105251) | 3.544443 / 3.745712 (-0.201269) | 3.263004 / 5.269862 (-2.006858) | 2.092801 / 4.565676 (-2.472875) | 0.057167 / 0.424275 (-0.367108) | 0.007450 / 0.007607 (-0.000157) | 0.463731 / 0.226044 (0.237686) | 4.624630 / 2.268929 (2.355701) | 2.327078 / 55.444624 (-53.117546) | 1.977734 / 6.876477 (-4.898743) | 2.237152 / 2.142072 (0.095079) | 0.573210 / 4.805227 (-4.232018) | 0.132095 / 6.500664 (-6.368569) | 0.060283 / 0.075469 (-0.015186) |

### 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) | 1.243404 / 1.841788 (-0.598384) | 20.306778 / 8.074308 (12.232470) | 14.561660 / 10.191392 (4.370268) | 0.170826 / 0.680424 (-0.509598) | 0.018574 / 0.534201 (-0.515627) | 0.392367 / 0.579283 (-0.186916) | 0.402918 / 0.434364 (-0.031446) | 0.476629 / 0.540337 (-0.063708) | 0.653709 / 1.386936 (-0.733227) |

</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) | 0.006562 / 0.011353 (-0.004791) | 0.004092 / 0.011008 (-0.006916) | 0.065951 / 0.038508 (0.027443) | 0.078090 / 0.023109 (0.054981) | 0.369679 / 0.275898 (0.093781) | 0.411442 / 0.323480 (0.087962) | 0.005646 / 0.007986 (-0.002339) | 0.003537 / 0.004328 (-0.000791) | 0.066024 / 0.004250 (0.061773) | 0.058947 / 0.037052 (0.021895) | 0.389219 / 0.258489 (0.130730) | 0.414200 / 0.293841 (0.120359) | 0.030372 / 0.128546 (-0.098174) | 0.008631 / 0.075646 (-0.067015) | 0.071692 / 0.419271 (-0.347580) | 0.048035 / 0.043533 (0.004502) | 0.376960 / 0.255139 (0.121821) | 0.389847 / 0.283200 (0.106648) | 0.023940 / 0.141683 (-0.117743) | 1.487633 / 1.452155 (0.035479) | 1.561680 / 1.492716 (0.068964) |

### 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) | 0.301467 / 0.018006 (0.283461) | 0.544159 / 0.000490 (0.543669) | 0.000408 / 0.000200 (0.000208) | 0.000055 / 0.000054 (0.000001) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.030939 / 0.037411 (-0.006472) | 0.087432 / 0.014526 (0.072906) | 0.103263 / 0.176557 (-0.073293) | 0.154551 / 0.737135 (-0.582585) | 0.104631 / 0.296338 (-0.191707) |

### 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) | 0.422348 / 0.215209 (0.207139) | 4.206003 / 2.077655 (2.128348) | 2.212619 / 1.504120 (0.708499) | 2.049616 / 1.541195 (0.508421) | 2.139093 / 1.468490 (0.670603) | 0.489647 / 4.584777 (-4.095130) | 3.523291 / 3.745712 (-0.222422) | 3.277657 / 5.269862 (-1.992205) | 2.111353 / 4.565676 (-2.454324) | 0.057597 / 0.424275 (-0.366679) | 0.007675 / 0.007607 (0.000068) | 0.493068 / 0.226044 (0.267023) | 4.939493 / 2.268929 (2.670565) | 2.695995 / 55.444624 (-52.748630) | 2.374904 / 6.876477 (-4.501573) | 2.600110 / 2.142072 (0.458038) | 0.586306 / 4.805227 (-4.218921) | 0.134137 / 6.500664 (-6.366527) | 0.061897 / 0.075469 (-0.013572) |

### 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) | 1.330628 / 1.841788 (-0.511160) | 20.557964 / 8.074308 (12.483656) | 14.251632 / 10.191392 (4.060240) | 0.148772 / 0.680424 (-0.531652) | 0.018383 / 0.534201 (-0.515817) | 0.392552 / 0.579283 (-0.186731) | 0.403959 / 0.434364 (-0.030405) | 0.462154 / 0.540337 (-0.078184) | 0.608832 / 1.386936 (-0.778104) |

</details>
</details>

![](https://cml.dev/watermark.png#7a291b2b659a356199dff0ab004ad3845459034b "CML watermark")
 <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) | 0.007659 / 0.011353 (-0.003694) | 0.004500 / 0.011008 (-0.006508) | 0.100379 / 0.038508 (0.061871) | 0.079731 / 0.023109 (0.056622) | 0.381788 / 0.275898 (0.105890) | 0.416524 / 0.323480 (0.093044) | 0.004446 / 0.007986 (-0.003539) | 0.003752 / 0.004328 (-0.000577) | 0.074956 / 0.004250 (0.070706) | 0.062885 / 0.037052 (0.025832) | 0.383849 / 0.258489 (0.125360) | 0.433906 / 0.293841 (0.140065) | 0.036079 / 0.128546 (-0.092468) | 0.009927 / 0.075646 (-0.065719) | 0.343879 / 0.419271 (-0.075393) | 0.061055 / 0.043533 (0.017523) | 0.376703 / 0.255139 (0.121564) | 0.428111 / 0.283200 (0.144911) | 0.028667 / 0.141683 (-0.113016) | 1.777755 / 1.452155 (0.325600) | 1.878283 / 1.492716 (0.385567) |

### 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) | 0.220829 / 0.018006 (0.202823) | 0.506406 / 0.000490 (0.505916) | 0.005550 / 0.000200 (0.005350) | 0.000123 / 0.000054 (0.000069) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.034928 / 0.037411 (-0.002483) | 0.103873 / 0.014526 (0.089347) | 0.114352 / 0.176557 (-0.062204) | 0.188218 / 0.737135 (-0.548918) | 0.117343 / 0.296338 (-0.178995) |

### 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) | 0.459148 / 0.215209 (0.243939) | 4.582092 / 2.077655 (2.504437) | 2.275603 / 1.504120 (0.771483) | 2.058155 / 1.541195 (0.516960) | 2.163886 / 1.468490 (0.695396) | 0.573033 / 4.584777 (-4.011744) | 4.414891 / 3.745712 (0.669178) | 7.280433 / 5.269862 (2.010572) | 4.119414 / 4.565676 (-0.446262) | 0.067432 / 0.424275 (-0.356843) | 0.008687 / 0.007607 (0.001080) | 0.556029 / 0.226044 (0.329984) | 5.557192 / 2.268929 (3.288264) | 2.921596 / 55.444624 (-52.523028) | 2.520249 / 6.876477 (-4.356228) | 2.778965 / 2.142072 (0.636893) | 0.684765 / 4.805227 (-4.120462) | 0.159228 / 6.500664 (-6.341436) | 0.074015 / 0.075469 (-0.001454) |

### 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) | 1.534470 / 1.841788 (-0.307318) | 23.630693 / 8.074308 (15.556385) | 17.058142 / 10.191392 (6.866750) | 0.200909 / 0.680424 (-0.479515) | 0.021637 / 0.534201 (-0.512564) | 0.467417 / 0.579283 (-0.111866) | 0.460456 / 0.434364 (0.026092) | 0.541131 / 0.540337 (0.000793) | 0.728560 / 1.386936 (-0.658376) |

</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) | 0.007625 / 0.011353 (-0.003727) | 0.004495 / 0.011008 (-0.006513) | 0.076373 / 0.038508 (0.037865) | 0.085260 / 0.023109 (0.062151) | 0.475778 / 0.275898 (0.199880) | 0.504604 / 0.323480 (0.181124) | 0.006733 / 0.007986 (-0.001253) | 0.003751 / 0.004328 (-0.000578) | 0.074993 / 0.004250 (0.070743) | 0.064704 / 0.037052 (0.027652) | 0.490072 / 0.258489 (0.231583) | 0.507560 / 0.293841 (0.213719) | 0.036765 / 0.128546 (-0.091781) | 0.009955 / 0.075646 (-0.065692) | 0.082452 / 0.419271 (-0.336820) | 0.057131 / 0.043533 (0.013598) | 0.467664 / 0.255139 (0.212525) | 0.482143 / 0.283200 (0.198943) | 0.025396 / 0.141683 (-0.116287) | 1.807587 / 1.452155 (0.355433) | 1.853355 / 1.492716 (0.360639) |

### 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) | 0.250543 / 0.018006 (0.232537) | 0.495685 / 0.000490 (0.495196) | 0.000415 / 0.000200 (0.000215) | 0.000063 / 0.000054 (0.000008) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.035795 / 0.037411 (-0.001616) | 0.105954 / 0.014526 (0.091428) | 0.120158 / 0.176557 (-0.056399) | 0.181714 / 0.737135 (-0.555422) | 0.121242 / 0.296338 (-0.175097) |

### 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) | 0.488241 / 0.215209 (0.273032) | 4.866916 / 2.077655 (2.789262) | 2.531530 / 1.504120 (1.027410) | 2.360642 / 1.541195 (0.819448) | 2.457320 / 1.468490 (0.988830) | 0.571224 / 4.584777 (-4.013553) | 4.339042 / 3.745712 (0.593330) | 3.672812 / 5.269862 (-1.597050) | 2.364535 / 4.565676 (-2.201142) | 0.067004 / 0.424275 (-0.357271) | 0.009019 / 0.007607 (0.001412) | 0.563751 / 0.226044 (0.337707) | 5.664917 / 2.268929 (3.395989) | 3.043316 / 55.444624 (-52.401308) | 2.682722 / 6.876477 (-4.193755) | 2.863482 / 2.142072 (0.721409) | 0.666171 / 4.805227 (-4.139056) | 0.151862 / 6.500664 (-6.348802) | 0.071199 / 0.075469 (-0.004271) |

### 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) | 1.601880 / 1.841788 (-0.239907) | 23.069073 / 8.074308 (14.994765) | 16.918377 / 10.191392 (6.726985) | 0.173614 / 0.680424 (-0.506810) | 0.021843 / 0.534201 (-0.512358) | 0.470531 / 0.579283 (-0.108753) | 0.471152 / 0.434364 (0.036788) | 0.550968 / 0.540337 (0.010631) | 0.718869 / 1.386936 (-0.668067) |

</details>
</details>

![](https://cml.dev/watermark.png#f9e6eea46fc9503765c125395e30e26c1ae2e084 "CML watermark")
 <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) | 0.007530 / 0.011353 (-0.003823) | 0.004151 / 0.011008 (-0.006858) | 0.098490 / 0.038508 (0.059982) | 0.086955 / 0.023109 (0.063846) | 0.362133 / 0.275898 (0.086235) | 0.391402 / 0.323480 (0.067922) | 0.006274 / 0.007986 (-0.001712) | 0.003711 / 0.004328 (-0.000618) | 0.073519 / 0.004250 (0.069269) | 0.066170 / 0.037052 (0.029118) | 0.379057 / 0.258489 (0.120568) | 0.398132 / 0.293841 (0.104291) | 0.033936 / 0.128546 (-0.094610) | 0.009977 / 0.075646 (-0.065670) | 0.323766 / 0.419271 (-0.095505) | 0.078615 / 0.043533 (0.035082) | 0.352403 / 0.255139 (0.097264) | 0.386607 / 0.283200 (0.103407) | 0.036579 / 0.141683 (-0.105103) | 1.691899 / 1.452155 (0.239745) | 1.819396 / 1.492716 (0.326680) |

### 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) | 0.216888 / 0.018006 (0.198882) | 0.465781 / 0.000490 (0.465291) | 0.006197 / 0.000200 (0.005997) | 0.000086 / 0.000054 (0.000031) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.032870 / 0.037411 (-0.004542) | 0.096026 / 0.014526 (0.081500) | 0.111093 / 0.176557 (-0.065464) | 0.185982 / 0.737135 (-0.551154) | 0.106967 / 0.296338 (-0.189371) |

### 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) | 0.441567 / 0.215209 (0.226358) | 4.353813 / 2.077655 (2.276158) | 2.176034 / 1.504120 (0.671914) | 1.969631 / 1.541195 (0.428437) | 2.048821 / 1.468490 (0.580330) | 0.549144 / 4.584777 (-4.035633) | 4.016166 / 3.745712 (0.270453) | 3.764249 / 5.269862 (-1.505613) | 2.293995 / 4.565676 (-2.271681) | 0.065227 / 0.424275 (-0.359048) | 0.008303 / 0.007607 (0.000695) | 0.513783 / 0.226044 (0.287738) | 5.247617 / 2.268929 (2.978689) | 2.782114 / 55.444624 (-52.662510) | 2.342776 / 6.876477 (-4.533701) | 2.621569 / 2.142072 (0.479497) | 0.679336 / 4.805227 (-4.125891) | 0.152061 / 6.500664 (-6.348603) | 0.070294 / 0.075469 (-0.005175) |

### 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) | 1.471778 / 1.841788 (-0.370010) | 22.714904 / 8.074308 (14.640596) | 15.607991 / 10.191392 (5.416599) | 0.172592 / 0.680424 (-0.507832) | 0.021799 / 0.534201 (-0.512402) | 0.462740 / 0.579283 (-0.116543) | 0.490885 / 0.434364 (0.056521) | 0.552997 / 0.540337 (0.012660) | 0.763784 / 1.386936 (-0.623152) |

</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) | 0.007466 / 0.011353 (-0.003886) | 0.004322 / 0.011008 (-0.006686) | 0.074331 / 0.038508 (0.035823) | 0.085315 / 0.023109 (0.062206) | 0.409284 / 0.275898 (0.133386) | 0.464584 / 0.323480 (0.141104) | 0.005651 / 0.007986 (-0.002335) | 0.003577 / 0.004328 (-0.000751) | 0.070250 / 0.004250 (0.066000) | 0.059780 / 0.037052 (0.022727) | 0.419668 / 0.258489 (0.161179) | 0.462984 / 0.293841 (0.169143) | 0.034159 / 0.128546 (-0.094387) | 0.008999 / 0.075646 (-0.066647) | 0.076302 / 0.419271 (-0.342969) | 0.052274 / 0.043533 (0.008741) | 0.425938 / 0.255139 (0.170799) | 0.430399 / 0.283200 (0.147200) | 0.025017 / 0.141683 (-0.116666) | 1.680697 / 1.452155 (0.228542) | 1.774677 / 1.492716 (0.281960) |

### 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) | 0.291514 / 0.018006 (0.273508) | 0.461175 / 0.000490 (0.460685) | 0.023061 / 0.000200 (0.022861) | 0.000120 / 0.000054 (0.000065) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.033950 / 0.037411 (-0.003462) | 0.100032 / 0.014526 (0.085506) | 0.118308 / 0.176557 (-0.058249) | 0.183601 / 0.737135 (-0.553535) | 0.116936 / 0.296338 (-0.179402) |

### 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) | 0.478779 / 0.215209 (0.263570) | 4.709505 / 2.077655 (2.631850) | 2.457442 / 1.504120 (0.953322) | 2.213737 / 1.541195 (0.672542) | 2.340642 / 1.468490 (0.872152) | 0.567187 / 4.584777 (-4.017590) | 3.923061 / 3.745712 (0.177349) | 3.752989 / 5.269862 (-1.516873) | 2.324028 / 4.565676 (-2.241649) | 0.064471 / 0.424275 (-0.359804) | 0.008845 / 0.007607 (0.001238) | 0.547447 / 0.226044 (0.321402) | 5.599435 / 2.268929 (3.330506) | 2.980547 / 55.444624 (-52.464077) | 2.754908 / 6.876477 (-4.121569) | 2.832978 / 2.142072 (0.690906) | 0.635059 / 4.805227 (-4.170168) | 0.153478 / 6.500664 (-6.347187) | 0.067146 / 0.075469 (-0.008323) |

### 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) | 1.555588 / 1.841788 (-0.286200) | 22.828906 / 8.074308 (14.754597) | 16.211008 / 10.191392 (6.019616) | 0.168009 / 0.680424 (-0.512415) | 0.021966 / 0.534201 (-0.512235) | 0.464872 / 0.579283 (-0.114411) | 0.460429 / 0.434364 (0.026065) | 0.530498 / 0.540337 (-0.009839) | 0.705020 / 1.386936 (-0.681916) |

</details>
</details>

![](https://cml.dev/watermark.png#deb9e703237c8310c5a6db04f54d54368e951edd "CML watermark")
 <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) | 0.005964 / 0.011353 (-0.005389) | 0.003644 / 0.011008 (-0.007364) | 0.079607 / 0.038508 (0.041099) | 0.058387 / 0.023109 (0.035278) | 0.312226 / 0.275898 (0.036328) | 0.349206 / 0.323480 (0.025726) | 0.004715 / 0.007986 (-0.003271) | 0.002869 / 0.004328 (-0.001460) | 0.061668 / 0.004250 (0.057417) | 0.045694 / 0.037052 (0.008642) | 0.313516 / 0.258489 (0.055027) | 0.357543 / 0.293841 (0.063702) | 0.027179 / 0.128546 (-0.101367) | 0.007961 / 0.075646 (-0.067686) | 0.262473 / 0.419271 (-0.156798) | 0.045588 / 0.043533 (0.002055) | 0.313102 / 0.255139 (0.057963) | 0.368686 / 0.283200 (0.085486) | 0.020556 / 0.141683 (-0.121127) | 1.447258 / 1.452155 (-0.004897) | 1.527319 / 1.492716 (0.034602) |

### 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) | 0.199417 / 0.018006 (0.181411) | 0.422155 / 0.000490 (0.421665) | 0.004972 / 0.000200 (0.004772) | 0.000073 / 0.000054 (0.000018) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.023539 / 0.037411 (-0.013872) | 0.073055 / 0.014526 (0.058529) | 0.083631 / 0.176557 (-0.092926) | 0.145923 / 0.737135 (-0.591212) | 0.083820 / 0.296338 (-0.212518) |

### 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) | 0.396305 / 0.215209 (0.181096) | 3.967065 / 2.077655 (1.889410) | 2.101109 / 1.504120 (0.596989) | 1.958817 / 1.541195 (0.417622) | 2.037894 / 1.468490 (0.569404) | 0.496955 / 4.584777 (-4.087822) | 3.078948 / 3.745712 (-0.666764) | 3.363655 / 5.269862 (-1.906207) | 2.087659 / 4.565676 (-2.478018) | 0.057171 / 0.424275 (-0.367104) | 0.006410 / 0.007607 (-0.001197) | 0.470535 / 0.226044 (0.244491) | 4.715259 / 2.268929 (2.446330) | 2.355510 / 55.444624 (-53.089114) | 2.025270 / 6.876477 (-4.851207) | 2.210401 / 2.142072 (0.068329) | 0.580538 / 4.805227 (-4.224689) | 0.125068 / 6.500664 (-6.375596) | 0.059871 / 0.075469 (-0.015598) |

### 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) | 1.245468 / 1.841788 (-0.596320) | 18.322042 / 8.074308 (10.247734) | 13.609726 / 10.191392 (3.418334) | 0.143623 / 0.680424 (-0.536801) | 0.017068 / 0.534201 (-0.517133) | 0.330758 / 0.579283 (-0.248525) | 0.339946 / 0.434364 (-0.094418) | 0.377861 / 0.540337 (-0.162476) | 0.524593 / 1.386936 (-0.862343) |

</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) | 0.006049 / 0.011353 (-0.005304) | 0.003737 / 0.011008 (-0.007271) | 0.062816 / 0.038508 (0.024308) | 0.063768 / 0.023109 (0.040658) | 0.362001 / 0.275898 (0.086103) | 0.395251 / 0.323480 (0.071772) | 0.004823 / 0.007986 (-0.003163) | 0.002881 / 0.004328 (-0.001447) | 0.061987 / 0.004250 (0.057737) | 0.049950 / 0.037052 (0.012898) | 0.362442 / 0.258489 (0.103953) | 0.399321 / 0.293841 (0.105480) | 0.027616 / 0.128546 (-0.100930) | 0.007965 / 0.075646 (-0.067681) | 0.068584 / 0.419271 (-0.350687) | 0.044700 / 0.043533 (0.001168) | 0.361011 / 0.255139 (0.105872) | 0.386007 / 0.283200 (0.102807) | 0.024621 / 0.141683 (-0.117061) | 1.441497 / 1.452155 (-0.010657) | 1.533145 / 1.492716 (0.040429) |

### 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) | 0.223446 / 0.018006 (0.205440) | 0.411147 / 0.000490 (0.410657) | 0.001821 / 0.000200 (0.001621) | 0.000081 / 0.000054 (0.000027) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.025661 / 0.037411 (-0.011751) | 0.077838 / 0.014526 (0.063313) | 0.086148 / 0.176557 (-0.090408) | 0.140386 / 0.737135 (-0.596750) | 0.088793 / 0.296338 (-0.207546) |

### 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) | 0.425209 / 0.215209 (0.210000) | 4.250723 / 2.077655 (2.173068) | 2.403437 / 1.504120 (0.899317) | 2.283584 / 1.541195 (0.742390) | 2.326870 / 1.468490 (0.858380) | 0.504781 / 4.584777 (-4.079996) | 3.017042 / 3.745712 (-0.728670) | 4.643068 / 5.269862 (-0.626794) | 2.535710 / 4.565676 (-2.029967) | 0.058520 / 0.424275 (-0.365755) | 0.006766 / 0.007607 (-0.000841) | 0.500664 / 0.226044 (0.274620) | 5.017073 / 2.268929 (2.748145) | 2.668661 / 55.444624 (-52.775963) | 2.335486 / 6.876477 (-4.540991) | 2.486518 / 2.142072 (0.344445) | 0.598795 / 4.805227 (-4.206432) | 0.126395 / 6.500664 (-6.374269) | 0.063154 / 0.075469 (-0.012315) |

### 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) | 1.358059 / 1.841788 (-0.483728) | 18.615724 / 8.074308 (10.541416) | 13.670934 / 10.191392 (3.479542) | 0.134650 / 0.680424 (-0.545774) | 0.016941 / 0.534201 (-0.517260) | 0.335215 / 0.579283 (-0.244068) | 0.356118 / 0.434364 (-0.078246) | 0.393109 / 0.540337 (-0.147228) | 0.534165 / 1.386936 (-0.852771) |

</details>
</details>

![](https://cml.dev/watermark.png#da7d3b557665f34e84cd151ffe9d80b45a19fe33 "CML watermark")

close https://github.com/huggingface/datasets/issues/6071