Single TQDM bar in multi-proc map
_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) | 0.008372 / 0.011353 (-0.002981) | 0.004658 / 0.011008 (-0.006350) | 0.102005 / 0.038508 (0.063497) | 0.029030 / 0.023109 (0.005920) | 0.296968 / 0.275898 (0.021070) | 0.364898 / 0.323480 (0.041418) | 0.006899 / 0.007986 (-0.001087) | 0.003410 / 0.004328 (-0.000919) | 0.079705 / 0.004250 (0.075455) | 0.034265 / 0.037052 (-0.002787) | 0.305695 / 0.258489 (0.047206) | 0.343275 / 0.293841 (0.049434) | 0.033783 / 0.128546 (-0.094763) | 0.011604 / 0.075646 (-0.064042) | 0.322577 / 0.419271 (-0.096694) | 0.040540 / 0.043533 (-0.002993) | 0.299176 / 0.255139 (0.044037) | 0.333157 / 0.283200 (0.049957) | 0.087460 / 0.141683 (-0.054223) | 1.494392 / 1.452155 (0.042237) | 1.539580 / 1.492716 (0.046863) |

### 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) | 0.176206 / 0.018006 (0.158200) | 0.413702 / 0.000490 (0.413212) | 0.002625 / 0.000200 (0.002425) | 0.000071 / 0.000054 (0.000017) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.023886 / 0.037411 (-0.013525) | 0.099758 / 0.014526 (0.085232) | 0.104349 / 0.176557 (-0.072208) | 0.147138 / 0.737135 (-0.589998) | 0.108682 / 0.296338 (-0.187657) |

### 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) | 0.411957 / 0.215209 (0.196748) | 4.110004 / 2.077655 (2.032349) | 1.820951 / 1.504120 (0.316831) | 1.629726 / 1.541195 (0.088532) | 1.672573 / 1.468490 (0.204083) | 0.686627 / 4.584777 (-3.898150) | 3.382665 / 3.745712 (-0.363047) | 2.875908 / 5.269862 (-2.393954) | 1.475331 / 4.565676 (-3.090345) | 0.081353 / 0.424275 (-0.342922) | 0.012521 / 0.007607 (0.004914) | 0.516226 / 0.226044 (0.290182) | 5.157658 / 2.268929 (2.888729) | 2.302012 / 55.444624 (-53.142612) | 1.950831 / 6.876477 (-4.925646) | 1.962081 / 2.142072 (-0.179992) | 0.800007 / 4.805227 (-4.005221) | 0.148462 / 6.500664 (-6.352202) | 0.064448 / 0.075469 (-0.011021) |

### 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) | 1.227977 / 1.841788 (-0.613810) | 13.776087 / 8.074308 (5.701779) | 13.749825 / 10.191392 (3.558433) | 0.137034 / 0.680424 (-0.543390) | 0.028461 / 0.534201 (-0.505740) | 0.392335 / 0.579283 (-0.186948) | 0.397404 / 0.434364 (-0.036960) | 0.450831 / 0.540337 (-0.089507) | 0.533716 / 1.386936 (-0.853220) |

</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) | 0.006883 / 0.011353 (-0.004470) | 0.004625 / 0.011008 (-0.006383) | 0.099039 / 0.038508 (0.060531) | 0.028068 / 0.023109 (0.004958) | 0.419988 / 0.275898 (0.144090) | 0.449543 / 0.323480 (0.126063) | 0.005232 / 0.007986 (-0.002753) | 0.003527 / 0.004328 (-0.000801) | 0.076308 / 0.004250 (0.072057) | 0.040523 / 0.037052 (0.003471) | 0.420165 / 0.258489 (0.161676) | 0.463220 / 0.293841 (0.169379) | 0.032368 / 0.128546 (-0.096178) | 0.011784 / 0.075646 (-0.063863) | 0.320675 / 0.419271 (-0.098597) | 0.041861 / 0.043533 (-0.001672) | 0.424903 / 0.255139 (0.169764) | 0.443528 / 0.283200 (0.160328) | 0.090869 / 0.141683 (-0.050814) | 1.504757 / 1.452155 (0.052602) | 1.557824 / 1.492716 (0.065108) |

### 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) | 0.224020 / 0.018006 (0.206014) | 0.404090 / 0.000490 (0.403601) | 0.000403 / 0.000200 (0.000203) | 0.000058 / 0.000054 (0.000004) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.024556 / 0.037411 (-0.012855) | 0.101280 / 0.014526 (0.086754) | 0.108017 / 0.176557 (-0.068540) | 0.146679 / 0.737135 (-0.590456) | 0.111468 / 0.296338 (-0.184870) |

### 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) | 0.478955 / 0.215209 (0.263746) | 4.769628 / 2.077655 (2.691973) | 2.473238 / 1.504120 (0.969118) | 2.263588 / 1.541195 (0.722393) | 2.285425 / 1.468490 (0.816935) | 0.699051 / 4.584777 (-3.885726) | 3.390495 / 3.745712 (-0.355217) | 1.858569 / 5.269862 (-3.411293) | 1.162081 / 4.565676 (-3.403596) | 0.083294 / 0.424275 (-0.340981) | 0.012410 / 0.007607 (0.004803) | 0.580786 / 0.226044 (0.354741) | 5.866868 / 2.268929 (3.597940) | 2.944358 / 55.444624 (-52.500266) | 2.596241 / 6.876477 (-4.280235) | 2.664464 / 2.142072 (0.522392) | 0.806751 / 4.805227 (-3.998476) | 0.152389 / 6.500664 (-6.348275) | 0.066945 / 0.075469 (-0.008524) |

### 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) | 1.290545 / 1.841788 (-0.551243) | 14.005727 / 8.074308 (5.931419) | 14.478951 / 10.191392 (4.287559) | 0.127488 / 0.680424 (-0.552935) | 0.016929 / 0.534201 (-0.517272) | 0.378380 / 0.579283 (-0.200904) | 0.387499 / 0.434364 (-0.046865) | 0.440816 / 0.540337 (-0.099522) | 0.525794 / 1.386936 (-0.861142) |

</details>
</details>

![](https://cml.dev/watermark.png#07549c6fcb2dced59d7614b4b8264d54ef573407 "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) | 0.008704 / 0.011353 (-0.002649) | 0.004474 / 0.011008 (-0.006534) | 0.101720 / 0.038508 (0.063212) | 0.030426 / 0.023109 (0.007317) | 0.298944 / 0.275898 (0.023046) | 0.371491 / 0.323480 (0.048011) | 0.007042 / 0.007986 (-0.000944) | 0.003479 / 0.004328 (-0.000850) | 0.078086 / 0.004250 (0.073835) | 0.037014 / 0.037052 (-0.000038) | 0.312964 / 0.258489 (0.054475) | 0.351251 / 0.293841 (0.057410) | 0.033286 / 0.128546 (-0.095260) | 0.011468 / 0.075646 (-0.064179) | 0.321784 / 0.419271 (-0.097488) | 0.040700 / 0.043533 (-0.002832) | 0.303799 / 0.255139 (0.048660) | 0.336982 / 0.283200 (0.053782) | 0.089448 / 0.141683 (-0.052235) | 1.462430 / 1.452155 (0.010275) | 1.524448 / 1.492716 (0.031732) |

### 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) | 0.178390 / 0.018006 (0.160384) | 0.402474 / 0.000490 (0.401984) | 0.002697 / 0.000200 (0.002497) | 0.000078 / 0.000054 (0.000023) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.022679 / 0.037411 (-0.014733) | 0.097759 / 0.014526 (0.083234) | 0.105102 / 0.176557 (-0.071454) | 0.140720 / 0.737135 (-0.596415) | 0.109119 / 0.296338 (-0.187219) |

### 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) | 0.414153 / 0.215209 (0.198944) | 4.131799 / 2.077655 (2.054144) | 1.852325 / 1.504120 (0.348205) | 1.646955 / 1.541195 (0.105760) | 1.662880 / 1.468490 (0.194390) | 0.693823 / 4.584777 (-3.890954) | 3.378843 / 3.745712 (-0.366869) | 1.861324 / 5.269862 (-3.408538) | 1.156916 / 4.565676 (-3.408761) | 0.082385 / 0.424275 (-0.341890) | 0.012166 / 0.007607 (0.004559) | 0.528690 / 0.226044 (0.302646) | 5.286388 / 2.268929 (3.017459) | 2.319941 / 55.444624 (-53.124684) | 1.959462 / 6.876477 (-4.917014) | 1.995102 / 2.142072 (-0.146970) | 0.817158 / 4.805227 (-3.988069) | 0.149479 / 6.500664 (-6.351185) | 0.065668 / 0.075469 (-0.009801) |

### 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) | 1.240228 / 1.841788 (-0.601560) | 13.770357 / 8.074308 (5.696048) | 13.940638 / 10.191392 (3.749246) | 0.152589 / 0.680424 (-0.527835) | 0.028498 / 0.534201 (-0.505703) | 0.392579 / 0.579283 (-0.186704) | 0.402843 / 0.434364 (-0.031521) | 0.455429 / 0.540337 (-0.084909) | 0.541090 / 1.386936 (-0.845846) |

</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) | 0.006692 / 0.011353 (-0.004661) | 0.004514 / 0.011008 (-0.006495) | 0.097058 / 0.038508 (0.058550) | 0.027780 / 0.023109 (0.004671) | 0.415806 / 0.275898 (0.139908) | 0.443079 / 0.323480 (0.119599) | 0.005181 / 0.007986 (-0.002805) | 0.003408 / 0.004328 (-0.000921) | 0.075263 / 0.004250 (0.071013) | 0.038169 / 0.037052 (0.001116) | 0.417292 / 0.258489 (0.158803) | 0.461875 / 0.293841 (0.168034) | 0.032280 / 0.128546 (-0.096266) | 0.011571 / 0.075646 (-0.064075) | 0.319091 / 0.419271 (-0.100181) | 0.048295 / 0.043533 (0.004762) | 0.423619 / 0.255139 (0.168480) | 0.435064 / 0.283200 (0.151864) | 0.094869 / 0.141683 (-0.046814) | 1.523000 / 1.452155 (0.070846) | 1.583097 / 1.492716 (0.090381) |

### 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) | 0.214326 / 0.018006 (0.196320) | 0.391623 / 0.000490 (0.391134) | 0.004602 / 0.000200 (0.004403) | 0.000078 / 0.000054 (0.000024) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.024306 / 0.037411 (-0.013106) | 0.101178 / 0.014526 (0.086652) | 0.108504 / 0.176557 (-0.068053) | 0.144114 / 0.737135 (-0.593022) | 0.111088 / 0.296338 (-0.185250) |

### 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) | 0.472573 / 0.215209 (0.257364) | 4.748929 / 2.077655 (2.671274) | 2.441602 / 1.504120 (0.937482) | 2.238841 / 1.541195 (0.697647) | 2.303303 / 1.468490 (0.834813) | 0.696618 / 4.584777 (-3.888159) | 3.373867 / 3.745712 (-0.371845) | 2.809009 / 5.269862 (-2.460852) | 1.337240 / 4.565676 (-3.228437) | 0.082682 / 0.424275 (-0.341593) | 0.012834 / 0.007607 (0.005227) | 0.569686 / 0.226044 (0.343642) | 5.723407 / 2.268929 (3.454478) | 2.882944 / 55.444624 (-52.561680) | 2.543530 / 6.876477 (-4.332947) | 2.581856 / 2.142072 (0.439784) | 0.802353 / 4.805227 (-4.002874) | 0.149947 / 6.500664 (-6.350717) | 0.065865 / 0.075469 (-0.009604) |

### 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) | 1.282146 / 1.841788 (-0.559642) | 13.831344 / 8.074308 (5.757036) | 14.081550 / 10.191392 (3.890157) | 0.141735 / 0.680424 (-0.538689) | 0.016677 / 0.534201 (-0.517524) | 0.378967 / 0.579283 (-0.200316) | 0.383775 / 0.434364 (-0.050589) | 0.432892 / 0.540337 (-0.107446) | 0.518042 / 1.386936 (-0.868894) |

</details>
</details>

![](https://cml.dev/watermark.png#01b4a5a18b56fa7b648b0f131f6b5568b1fd436a "CML watermark")
 Omg I love this ! cc @TevenLeScao @thomasw21 this will save your terminals from infinite streams of progress bars <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) | 0.008680 / 0.011353 (-0.002673) | 0.004597 / 0.011008 (-0.006411) | 0.101154 / 0.038508 (0.062646) | 0.029831 / 0.023109 (0.006722) | 0.300619 / 0.275898 (0.024721) | 0.358259 / 0.323480 (0.034779) | 0.007284 / 0.007986 (-0.000701) | 0.003511 / 0.004328 (-0.000817) | 0.078805 / 0.004250 (0.074555) | 0.037192 / 0.037052 (0.000140) | 0.307241 / 0.258489 (0.048752) | 0.354648 / 0.293841 (0.060807) | 0.033696 / 0.128546 (-0.094851) | 0.011660 / 0.075646 (-0.063986) | 0.324266 / 0.419271 (-0.095006) | 0.043393 / 0.043533 (-0.000140) | 0.297503 / 0.255139 (0.042364) | 0.326037 / 0.283200 (0.042838) | 0.091165 / 0.141683 (-0.050517) | 1.479970 / 1.452155 (0.027816) | 1.508507 / 1.492716 (0.015791) |

### 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) | 0.179995 / 0.018006 (0.161989) | 0.464282 / 0.000490 (0.463793) | 0.003953 / 0.000200 (0.003753) | 0.000077 / 0.000054 (0.000023) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.022696 / 0.037411 (-0.014715) | 0.099510 / 0.014526 (0.084984) | 0.103741 / 0.176557 (-0.072816) | 0.137837 / 0.737135 (-0.599299) | 0.108776 / 0.296338 (-0.187563) |

### 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) | 0.417034 / 0.215209 (0.201825) | 4.183479 / 2.077655 (2.105824) | 1.855329 / 1.504120 (0.351209) | 1.660675 / 1.541195 (0.119481) | 1.723936 / 1.468490 (0.255446) | 0.687815 / 4.584777 (-3.896962) | 3.331280 / 3.745712 (-0.414432) | 2.821430 / 5.269862 (-2.448432) | 1.542394 / 4.565676 (-3.023283) | 0.081665 / 0.424275 (-0.342610) | 0.012483 / 0.007607 (0.004875) | 0.524758 / 0.226044 (0.298713) | 5.277285 / 2.268929 (3.008357) | 2.278067 / 55.444624 (-53.166557) | 1.923232 / 6.876477 (-4.953245) | 1.978645 / 2.142072 (-0.163428) | 0.806225 / 4.805227 (-3.999002) | 0.147568 / 6.500664 (-6.353096) | 0.064206 / 0.075469 (-0.011263) |

### 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) | 1.175079 / 1.841788 (-0.666708) | 13.677443 / 8.074308 (5.603135) | 14.064103 / 10.191392 (3.872711) | 0.167462 / 0.680424 (-0.512962) | 0.028677 / 0.534201 (-0.505524) | 0.399090 / 0.579283 (-0.180193) | 0.398930 / 0.434364 (-0.035433) | 0.461604 / 0.540337 (-0.078733) | 0.540978 / 1.386936 (-0.845958) |

</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) | 0.006846 / 0.011353 (-0.004507) | 0.004452 / 0.011008 (-0.006556) | 0.076169 / 0.038508 (0.037661) | 0.028290 / 0.023109 (0.005181) | 0.341105 / 0.275898 (0.065207) | 0.381465 / 0.323480 (0.057986) | 0.005038 / 0.007986 (-0.002948) | 0.003298 / 0.004328 (-0.001031) | 0.075794 / 0.004250 (0.071544) | 0.039225 / 0.037052 (0.002173) | 0.342995 / 0.258489 (0.084506) | 0.384878 / 0.293841 (0.091037) | 0.031766 / 0.128546 (-0.096780) | 0.011597 / 0.075646 (-0.064049) | 0.084849 / 0.419271 (-0.334423) | 0.041795 / 0.043533 (-0.001737) | 0.341770 / 0.255139 (0.086631) | 0.383142 / 0.283200 (0.099942) | 0.088854 / 0.141683 (-0.052829) | 1.465116 / 1.452155 (0.012961) | 1.566888 / 1.492716 (0.074171) |

### 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) | 0.225129 / 0.018006 (0.207123) | 0.394290 / 0.000490 (0.393801) | 0.000397 / 0.000200 (0.000197) | 0.000060 / 0.000054 (0.000006) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.025492 / 0.037411 (-0.011919) | 0.100494 / 0.014526 (0.085968) | 0.110587 / 0.176557 (-0.065969) | 0.142715 / 0.737135 (-0.594420) | 0.110962 / 0.296338 (-0.185376) |

### 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) | 0.437240 / 0.215209 (0.222031) | 4.379191 / 2.077655 (2.301536) | 2.055059 / 1.504120 (0.550939) | 1.844643 / 1.541195 (0.303448) | 1.914678 / 1.468490 (0.446188) | 0.695607 / 4.584777 (-3.889170) | 3.353845 / 3.745712 (-0.391867) | 1.837403 / 5.269862 (-3.432459) | 1.155518 / 4.565676 (-3.410158) | 0.082753 / 0.424275 (-0.341523) | 0.012812 / 0.007607 (0.005205) | 0.537304 / 0.226044 (0.311260) | 5.387425 / 2.268929 (3.118497) | 2.506986 / 55.444624 (-52.937638) | 2.159031 / 6.876477 (-4.717445) | 2.187844 / 2.142072 (0.045772) | 0.796880 / 4.805227 (-4.008347) | 0.151850 / 6.500664 (-6.348815) | 0.067577 / 0.075469 (-0.007892) |

### 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) | 1.257779 / 1.841788 (-0.584009) | 13.968842 / 8.074308 (5.894534) | 13.544220 / 10.191392 (3.352828) | 0.149962 / 0.680424 (-0.530462) | 0.016875 / 0.534201 (-0.517326) | 0.394714 / 0.579283 (-0.184570) | 0.387845 / 0.434364 (-0.046519) | 0.481674 / 0.540337 (-0.058664) | 0.569820 / 1.386936 (-0.817116) |

</details>
</details>

![](https://cml.dev/watermark.png#71e50283422a93e805ea76722ce2520d1aae39c2 "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) | 0.009745 / 0.011353 (-0.001607) | 0.005307 / 0.011008 (-0.005702) | 0.104230 / 0.038508 (0.065722) | 0.039745 / 0.023109 (0.016635) | 0.306102 / 0.275898 (0.030204) | 0.384390 / 0.323480 (0.060910) | 0.008265 / 0.007986 (0.000279) | 0.005516 / 0.004328 (0.001187) | 0.076023 / 0.004250 (0.071772) | 0.048266 / 0.037052 (0.011213) | 0.315380 / 0.258489 (0.056891) | 0.365735 / 0.293841 (0.071895) | 0.038222 / 0.128546 (-0.090324) | 0.012397 / 0.075646 (-0.063249) | 0.348964 / 0.419271 (-0.070307) | 0.047668 / 0.043533 (0.004135) | 0.301037 / 0.255139 (0.045898) | 0.322982 / 0.283200 (0.039783) | 0.109307 / 0.141683 (-0.032376) | 1.420777 / 1.452155 (-0.031378) | 1.468290 / 1.492716 (-0.024426) |

### 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) | 0.262386 / 0.018006 (0.244380) | 0.557151 / 0.000490 (0.556661) | 0.000352 / 0.000200 (0.000152) | 0.000062 / 0.000054 (0.000007) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.029508 / 0.037411 (-0.007903) | 0.113960 / 0.014526 (0.099434) | 0.123176 / 0.176557 (-0.053381) | 0.161928 / 0.737135 (-0.575207) | 0.129196 / 0.296338 (-0.167142) |

### 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) | 0.407051 / 0.215209 (0.191842) | 4.072550 / 2.077655 (1.994895) | 1.899809 / 1.504120 (0.395689) | 1.751981 / 1.541195 (0.210786) | 1.841361 / 1.468490 (0.372871) | 0.713908 / 4.584777 (-3.870869) | 3.703339 / 3.745712 (-0.042373) | 2.091283 / 5.269862 (-3.178578) | 1.323810 / 4.565676 (-3.241866) | 0.084691 / 0.424275 (-0.339584) | 0.012685 / 0.007607 (0.005078) | 0.511301 / 0.226044 (0.285257) | 5.109741 / 2.268929 (2.840813) | 2.315073 / 55.444624 (-53.129551) | 2.012746 / 6.876477 (-4.863731) | 2.160074 / 2.142072 (0.018002) | 0.853025 / 4.805227 (-3.952202) | 0.165301 / 6.500664 (-6.335363) | 0.062244 / 0.075469 (-0.013225) |

### 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) | 1.219727 / 1.841788 (-0.622061) | 15.319675 / 8.074308 (7.245367) | 13.100883 / 10.191392 (2.909491) | 0.173451 / 0.680424 (-0.506973) | 0.029173 / 0.534201 (-0.505028) | 0.440162 / 0.579283 (-0.139122) | 0.429771 / 0.434364 (-0.004593) | 0.518689 / 0.540337 (-0.021648) | 0.608590 / 1.386936 (-0.778346) |

</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) | 0.007839 / 0.011353 (-0.003514) | 0.005409 / 0.011008 (-0.005599) | 0.076468 / 0.038508 (0.037960) | 0.036568 / 0.023109 (0.013459) | 0.337568 / 0.275898 (0.061670) | 0.379353 / 0.323480 (0.055873) | 0.006208 / 0.007986 (-0.001778) | 0.005971 / 0.004328 (0.001643) | 0.073765 / 0.004250 (0.069514) | 0.056609 / 0.037052 (0.019556) | 0.344578 / 0.258489 (0.086089) | 0.405249 / 0.293841 (0.111408) | 0.037652 / 0.128546 (-0.090894) | 0.012549 / 0.075646 (-0.063097) | 0.087086 / 0.419271 (-0.332186) | 0.056669 / 0.043533 (0.013136) | 0.334121 / 0.255139 (0.078983) | 0.354582 / 0.283200 (0.071383) | 0.113293 / 0.141683 (-0.028390) | 1.437327 / 1.452155 (-0.014828) | 1.574400 / 1.492716 (0.081684) |

### 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) | 0.325235 / 0.018006 (0.307229) | 0.535405 / 0.000490 (0.534915) | 0.014119 / 0.000200 (0.013919) | 0.000278 / 0.000054 (0.000224) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.030826 / 0.037411 (-0.006585) | 0.114077 / 0.014526 (0.099552) | 0.128799 / 0.176557 (-0.047758) | 0.172164 / 0.737135 (-0.564971) | 0.133665 / 0.296338 (-0.162673) |

### 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) | 0.430898 / 0.215209 (0.215689) | 4.285507 / 2.077655 (2.207853) | 2.089767 / 1.504120 (0.585647) | 1.899457 / 1.541195 (0.358262) | 2.042875 / 1.468490 (0.574385) | 0.690575 / 4.584777 (-3.894202) | 3.815905 / 3.745712 (0.070192) | 3.371085 / 5.269862 (-1.898776) | 1.865748 / 4.565676 (-2.699929) | 0.086678 / 0.424275 (-0.337597) | 0.013172 / 0.007607 (0.005565) | 0.552038 / 0.226044 (0.325994) | 5.275093 / 2.268929 (3.006165) | 2.561102 / 55.444624 (-52.883522) | 2.224235 / 6.876477 (-4.652242) | 2.330315 / 2.142072 (0.188243) | 0.845163 / 4.805227 (-3.960064) | 0.170675 / 6.500664 (-6.329989) | 0.068446 / 0.075469 (-0.007023) |

### 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) | 1.261213 / 1.841788 (-0.580575) | 15.354959 / 8.074308 (7.280651) | 15.034302 / 10.191392 (4.842910) | 0.146704 / 0.680424 (-0.533720) | 0.017986 / 0.534201 (-0.516215) | 0.425978 / 0.579283 (-0.153305) | 0.421806 / 0.434364 (-0.012558) | 0.494844 / 0.540337 (-0.045493) | 0.587870 / 1.386936 (-0.799066) |

</details>
</details>

![](https://cml.dev/watermark.png#0933901bb757e9a386095aef0fb11de9f9a04085 "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) | 0.012765 / 0.011353 (0.001412) | 0.006429 / 0.011008 (-0.004579) | 0.133669 / 0.038508 (0.095161) | 0.041420 / 0.023109 (0.018311) | 0.419990 / 0.275898 (0.144092) | 0.505218 / 0.323480 (0.181738) | 0.010189 / 0.007986 (0.002204) | 0.005134 / 0.004328 (0.000805) | 0.100890 / 0.004250 (0.096640) | 0.045639 / 0.037052 (0.008587) | 0.440593 / 0.258489 (0.182103) | 0.476966 / 0.293841 (0.183125) | 0.059270 / 0.128546 (-0.069276) | 0.018625 / 0.075646 (-0.057021) | 0.444957 / 0.419271 (0.025686) | 0.060669 / 0.043533 (0.017136) | 0.415373 / 0.255139 (0.160234) | 0.461810 / 0.283200 (0.178610) | 0.116119 / 0.141683 (-0.025564) | 1.873691 / 1.452155 (0.421536) | 1.939891 / 1.492716 (0.447175) |

### 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) | 0.259529 / 0.018006 (0.241523) | 0.587213 / 0.000490 (0.586723) | 0.003729 / 0.000200 (0.003529) | 0.000115 / 0.000054 (0.000060) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.032064 / 0.037411 (-0.005347) | 0.140228 / 0.014526 (0.125702) | 0.147139 / 0.176557 (-0.029417) | 0.193731 / 0.737135 (-0.543405) | 0.162126 / 0.296338 (-0.134213) |

### 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) | 0.639262 / 0.215209 (0.424053) | 6.496491 / 2.077655 (4.418836) | 2.602044 / 1.504120 (1.097924) | 2.245891 / 1.541195 (0.704696) | 2.301321 / 1.468490 (0.832831) | 1.234088 / 4.584777 (-3.350689) | 5.883315 / 3.745712 (2.137603) | 3.166902 / 5.269862 (-2.102959) | 2.258279 / 4.565676 (-2.307398) | 0.146203 / 0.424275 (-0.278072) | 0.015490 / 0.007607 (0.007883) | 0.800188 / 0.226044 (0.574144) | 8.150866 / 2.268929 (5.881938) | 3.419508 / 55.444624 (-52.025117) | 2.712174 / 6.876477 (-4.164302) | 2.805059 / 2.142072 (0.662987) | 1.421047 / 4.805227 (-3.384180) | 0.254274 / 6.500664 (-6.246390) | 0.083886 / 0.075469 (0.008417) |

### 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) | 1.651962 / 1.841788 (-0.189826) | 19.453202 / 8.074308 (11.378894) | 24.643881 / 10.191392 (14.452489) | 0.263612 / 0.680424 (-0.416812) | 0.046913 / 0.534201 (-0.487288) | 0.579861 / 0.579283 (0.000578) | 0.695137 / 0.434364 (0.260773) | 0.705479 / 0.540337 (0.165142) | 0.806073 / 1.386936 (-0.580863) |

</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) | 0.010384 / 0.011353 (-0.000969) | 0.007460 / 0.011008 (-0.003548) | 0.107830 / 0.038508 (0.069322) | 0.036792 / 0.023109 (0.013682) | 0.469585 / 0.275898 (0.193687) | 0.521278 / 0.323480 (0.197798) | 0.007472 / 0.007986 (-0.000513) | 0.007774 / 0.004328 (0.003446) | 0.105405 / 0.004250 (0.101154) | 0.053732 / 0.037052 (0.016680) | 0.486299 / 0.258489 (0.227810) | 0.537067 / 0.293841 (0.243226) | 0.053378 / 0.128546 (-0.075168) | 0.022018 / 0.075646 (-0.053628) | 0.127765 / 0.419271 (-0.291507) | 0.063844 / 0.043533 (0.020311) | 0.479724 / 0.255139 (0.224585) | 0.511243 / 0.283200 (0.228043) | 0.123223 / 0.141683 (-0.018460) | 1.934167 / 1.452155 (0.482013) | 2.003168 / 1.492716 (0.510451) |

### 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) | 0.227670 / 0.018006 (0.209664) | 0.609125 / 0.000490 (0.608635) | 0.004408 / 0.000200 (0.004208) | 0.000147 / 0.000054 (0.000092) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.035905 / 0.037411 (-0.001506) | 0.142207 / 0.014526 (0.127681) | 0.154749 / 0.176557 (-0.021808) | 0.216191 / 0.737135 (-0.520944) | 0.156577 / 0.296338 (-0.139761) |

### 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) | 0.665085 / 0.215209 (0.449876) | 6.510923 / 2.077655 (4.433269) | 2.902438 / 1.504120 (1.398318) | 2.561427 / 1.541195 (1.020232) | 2.669556 / 1.468490 (1.201066) | 1.190340 / 4.584777 (-3.394437) | 5.933066 / 3.745712 (2.187354) | 5.627784 / 5.269862 (0.357922) | 2.971922 / 4.565676 (-1.593755) | 0.140884 / 0.424275 (-0.283391) | 0.015382 / 0.007607 (0.007775) | 0.810441 / 0.226044 (0.584396) | 8.255538 / 2.268929 (5.986609) | 3.819014 / 55.444624 (-51.625611) | 3.222479 / 6.876477 (-3.653998) | 3.181700 / 2.142072 (1.039627) | 1.483403 / 4.805227 (-3.321824) | 0.262726 / 6.500664 (-6.237939) | 0.090252 / 0.075469 (0.014783) |

### 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) | 1.748566 / 1.841788 (-0.093222) | 19.566894 / 8.074308 (11.492586) | 24.382155 / 10.191392 (14.190763) | 0.260118 / 0.680424 (-0.420305) | 0.028725 / 0.534201 (-0.505476) | 0.564875 / 0.579283 (-0.014408) | 0.666708 / 0.434364 (0.232344) | 0.691165 / 0.540337 (0.150827) | 0.837061 / 1.386936 (-0.549875) |

</details>
</details>

![](https://cml.dev/watermark.png#fe6bf908e9f12e0b69b4059c392da8264881525d "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) | 0.010098 / 0.011353 (-0.001255) | 0.005797 / 0.011008 (-0.005211) | 0.111262 / 0.038508 (0.072754) | 0.039687 / 0.023109 (0.016578) | 0.331081 / 0.275898 (0.055183) | 0.395878 / 0.323480 (0.072398) | 0.009244 / 0.007986 (0.001259) | 0.004498 / 0.004328 (0.000170) | 0.086129 / 0.004250 (0.081879) | 0.046662 / 0.037052 (0.009610) | 0.361926 / 0.258489 (0.103437) | 0.386155 / 0.293841 (0.092314) | 0.043657 / 0.128546 (-0.084889) | 0.013545 / 0.075646 (-0.062101) | 0.383735 / 0.419271 (-0.035537) | 0.055727 / 0.043533 (0.012194) | 0.355356 / 0.255139 (0.100217) | 0.358749 / 0.283200 (0.075550) | 0.123219 / 0.141683 (-0.018463) | 1.707982 / 1.452155 (0.255828) | 1.773342 / 1.492716 (0.280626) |

### 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) | 0.238902 / 0.018006 (0.220896) | 0.495525 / 0.000490 (0.495036) | 0.001742 / 0.000200 (0.001542) | 0.000096 / 0.000054 (0.000041) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.031276 / 0.037411 (-0.006135) | 0.124286 / 0.014526 (0.109760) | 0.136236 / 0.176557 (-0.040321) | 0.180257 / 0.737135 (-0.556879) | 0.141047 / 0.296338 (-0.155292) |

### 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) | 0.465075 / 0.215209 (0.249865) | 4.543997 / 2.077655 (2.466342) | 2.036632 / 1.504120 (0.532512) | 1.820356 / 1.541195 (0.279161) | 1.860692 / 1.468490 (0.392202) | 0.807549 / 4.584777 (-3.777227) | 4.400369 / 3.745712 (0.654657) | 2.423372 / 5.269862 (-2.846490) | 1.741338 / 4.565676 (-2.824339) | 0.099457 / 0.424275 (-0.324818) | 0.014464 / 0.007607 (0.006857) | 0.599442 / 0.226044 (0.373398) | 5.867798 / 2.268929 (3.598870) | 2.641859 / 55.444624 (-52.802766) | 2.294246 / 6.876477 (-4.582231) | 2.329639 / 2.142072 (0.187567) | 0.981897 / 4.805227 (-3.823331) | 0.189278 / 6.500664 (-6.311386) | 0.071868 / 0.075469 (-0.003601) |

### 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) | 1.471800 / 1.841788 (-0.369988) | 17.149150 / 8.074308 (9.074841) | 15.818942 / 10.191392 (5.627550) | 0.174760 / 0.680424 (-0.505664) | 0.033507 / 0.534201 (-0.500694) | 0.511055 / 0.579283 (-0.068228) | 0.517107 / 0.434364 (0.082743) | 0.650813 / 0.540337 (0.110476) | 0.752515 / 1.386936 (-0.634421) |

</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) | 0.008651 / 0.011353 (-0.002702) | 0.005935 / 0.011008 (-0.005073) | 0.088589 / 0.038508 (0.050081) | 0.038796 / 0.023109 (0.015687) | 0.415430 / 0.275898 (0.139532) | 0.443693 / 0.323480 (0.120213) | 0.006631 / 0.007986 (-0.001354) | 0.004638 / 0.004328 (0.000309) | 0.085779 / 0.004250 (0.081529) | 0.053994 / 0.037052 (0.016942) | 0.408349 / 0.258489 (0.149860) | 0.475441 / 0.293841 (0.181600) | 0.042792 / 0.128546 (-0.085754) | 0.013938 / 0.075646 (-0.061709) | 0.102173 / 0.419271 (-0.317098) | 0.057940 / 0.043533 (0.014407) | 0.408967 / 0.255139 (0.153828) | 0.422741 / 0.283200 (0.139541) | 0.121844 / 0.141683 (-0.019839) | 1.772779 / 1.452155 (0.320625) | 1.837706 / 1.492716 (0.344989) |

### 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) | 0.228896 / 0.018006 (0.210890) | 0.497964 / 0.000490 (0.497475) | 0.004402 / 0.000200 (0.004202) | 0.000112 / 0.000054 (0.000057) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.035626 / 0.037411 (-0.001786) | 0.132021 / 0.014526 (0.117495) | 0.145599 / 0.176557 (-0.030957) | 0.192317 / 0.737135 (-0.544818) | 0.150165 / 0.296338 (-0.146174) |

### 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) | 0.500216 / 0.215209 (0.285007) | 5.002916 / 2.077655 (2.925262) | 2.502439 / 1.504120 (0.998319) | 2.353019 / 1.541195 (0.811825) | 2.485082 / 1.468490 (1.016592) | 0.827694 / 4.584777 (-3.757083) | 4.569319 / 3.745712 (0.823607) | 3.739820 / 5.269862 (-1.530042) | 2.097857 / 4.565676 (-2.467819) | 0.098636 / 0.424275 (-0.325639) | 0.014608 / 0.007607 (0.007001) | 0.604411 / 0.226044 (0.378366) | 6.131702 / 2.268929 (3.862774) | 3.043988 / 55.444624 (-52.400637) | 2.642427 / 6.876477 (-4.234050) | 2.687223 / 2.142072 (0.545151) | 0.968808 / 4.805227 (-3.836419) | 0.193876 / 6.500664 (-6.306788) | 0.076931 / 0.075469 (0.001462) |

### 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) | 1.511820 / 1.841788 (-0.329968) | 17.971574 / 8.074308 (9.897265) | 16.512738 / 10.191392 (6.321346) | 0.223702 / 0.680424 (-0.456722) | 0.020191 / 0.534201 (-0.514010) | 0.511045 / 0.579283 (-0.068238) | 0.499813 / 0.434364 (0.065449) | 0.642147 / 0.540337 (0.101810) | 0.756029 / 1.386936 (-0.630907) |

</details>
</details>

![](https://cml.dev/watermark.png#1f6c7b9eb4bca89ec90c465623f7a2e6f5251062 "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) | 0.008909 / 0.011353 (-0.002444) | 0.005096 / 0.011008 (-0.005912) | 0.098568 / 0.038508 (0.060060) | 0.034548 / 0.023109 (0.011438) | 0.294762 / 0.275898 (0.018864) | 0.366093 / 0.323480 (0.042613) | 0.007476 / 0.007986 (-0.000510) | 0.003982 / 0.004328 (-0.000347) | 0.075975 / 0.004250 (0.071725) | 0.040499 / 0.037052 (0.003446) | 0.315050 / 0.258489 (0.056561) | 0.351273 / 0.293841 (0.057433) | 0.038327 / 0.128546 (-0.090219) | 0.011943 / 0.075646 (-0.063703) | 0.332148 / 0.419271 (-0.087124) | 0.047648 / 0.043533 (0.004115) | 0.295817 / 0.255139 (0.040678) | 0.322704 / 0.283200 (0.039504) | 0.100830 / 0.141683 (-0.040853) | 1.422162 / 1.452155 (-0.029993) | 1.468972 / 1.492716 (-0.023744) |

### 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) | 0.201164 / 0.018006 (0.183158) | 0.435425 / 0.000490 (0.434935) | 0.001576 / 0.000200 (0.001376) | 0.000218 / 0.000054 (0.000163) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.026667 / 0.037411 (-0.010744) | 0.106161 / 0.014526 (0.091636) | 0.115836 / 0.176557 (-0.060720) | 0.151511 / 0.737135 (-0.585624) | 0.122248 / 0.296338 (-0.174091) |

### 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) | 0.395974 / 0.215209 (0.180765) | 3.952958 / 2.077655 (1.875303) | 1.772111 / 1.504120 (0.267991) | 1.581370 / 1.541195 (0.040175) | 1.602811 / 1.468490 (0.134321) | 0.694072 / 4.584777 (-3.890705) | 3.640238 / 3.745712 (-0.105474) | 2.028865 / 5.269862 (-3.240997) | 1.419182 / 4.565676 (-3.146495) | 0.084078 / 0.424275 (-0.340197) | 0.012248 / 0.007607 (0.004641) | 0.499768 / 0.226044 (0.273723) | 4.997449 / 2.268929 (2.728521) | 2.280711 / 55.444624 (-53.163913) | 1.971701 / 6.876477 (-4.904776) | 1.983248 / 2.142072 (-0.158824) | 0.831030 / 4.805227 (-3.974198) | 0.163008 / 6.500664 (-6.337656) | 0.061887 / 0.075469 (-0.013582) |

### 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) | 1.191744 / 1.841788 (-0.650043) | 14.424546 / 8.074308 (6.350238) | 14.530127 / 10.191392 (4.338735) | 0.165793 / 0.680424 (-0.514631) | 0.029099 / 0.534201 (-0.505102) | 0.447830 / 0.579283 (-0.131453) | 0.441036 / 0.434364 (0.006672) | 0.554697 / 0.540337 (0.014360) | 0.668854 / 1.386936 (-0.718082) |

</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) | 0.006825 / 0.011353 (-0.004528) | 0.004998 / 0.011008 (-0.006010) | 0.074197 / 0.038508 (0.035689) | 0.032381 / 0.023109 (0.009272) | 0.335745 / 0.275898 (0.059847) | 0.360474 / 0.323480 (0.036994) | 0.005420 / 0.007986 (-0.002566) | 0.005121 / 0.004328 (0.000792) | 0.074980 / 0.004250 (0.070730) | 0.046392 / 0.037052 (0.009340) | 0.338693 / 0.258489 (0.080204) | 0.383679 / 0.293841 (0.089838) | 0.035380 / 0.128546 (-0.093166) | 0.012197 / 0.075646 (-0.063449) | 0.085738 / 0.419271 (-0.333533) | 0.049990 / 0.043533 (0.006458) | 0.342640 / 0.255139 (0.087501) | 0.355139 / 0.283200 (0.071939) | 0.102992 / 0.141683 (-0.038690) | 1.451900 / 1.452155 (-0.000254) | 1.550919 / 1.492716 (0.058202) |

### 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) | 0.223241 / 0.018006 (0.205235) | 0.436954 / 0.000490 (0.436464) | 0.003319 / 0.000200 (0.003120) | 0.000088 / 0.000054 (0.000034) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.028042 / 0.037411 (-0.009370) | 0.106079 / 0.014526 (0.091554) | 0.122713 / 0.176557 (-0.053843) | 0.156543 / 0.737135 (-0.580593) | 0.122424 / 0.296338 (-0.173914) |

### 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) | 0.439482 / 0.215209 (0.224273) | 4.283112 / 2.077655 (2.205457) | 2.139705 / 1.504120 (0.635585) | 1.940898 / 1.541195 (0.399703) | 2.003906 / 1.468490 (0.535416) | 0.703269 / 4.584777 (-3.881508) | 3.780391 / 3.745712 (0.034679) | 2.079963 / 5.269862 (-3.189898) | 1.330669 / 4.565676 (-3.235007) | 0.086582 / 0.424275 (-0.337693) | 0.012497 / 0.007607 (0.004890) | 0.519329 / 0.226044 (0.293284) | 5.218117 / 2.268929 (2.949189) | 2.635982 / 55.444624 (-52.808643) | 2.301111 / 6.876477 (-4.575366) | 2.341312 / 2.142072 (0.199239) | 0.840157 / 4.805227 (-3.965070) | 0.166174 / 6.500664 (-6.334490) | 0.062890 / 0.075469 (-0.012579) |

### 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) | 1.257672 / 1.841788 (-0.584116) | 14.983374 / 8.074308 (6.909066) | 14.284441 / 10.191392 (4.093049) | 0.176077 / 0.680424 (-0.504347) | 0.017544 / 0.534201 (-0.516657) | 0.429619 / 0.579283 (-0.149664) | 0.426371 / 0.434364 (-0.007993) | 0.534832 / 0.540337 (-0.005506) | 0.643322 / 1.386936 (-0.743614) |

</details>
</details>

![](https://cml.dev/watermark.png#0409b1435876fa97b3674b0275285e84b49d83f8 "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) | 0.010622 / 0.011353 (-0.000731) | 0.005856 / 0.011008 (-0.005152) | 0.108608 / 0.038508 (0.070100) | 0.039868 / 0.023109 (0.016759) | 0.327853 / 0.275898 (0.051955) | 0.396721 / 0.323480 (0.073241) | 0.008916 / 0.007986 (0.000930) | 0.004590 / 0.004328 (0.000261) | 0.085020 / 0.004250 (0.080770) | 0.046608 / 0.037052 (0.009555) | 0.356369 / 0.258489 (0.097880) | 0.391142 / 0.293841 (0.097301) | 0.040579 / 0.128546 (-0.087967) | 0.012249 / 0.075646 (-0.063397) | 0.387740 / 0.419271 (-0.031532) | 0.057794 / 0.043533 (0.014262) | 0.335763 / 0.255139 (0.080624) | 0.369847 / 0.283200 (0.086647) | 0.121276 / 0.141683 (-0.020407) | 1.605406 / 1.452155 (0.153251) | 1.709524 / 1.492716 (0.216808) |

### 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) | 0.226688 / 0.018006 (0.208681) | 0.493320 / 0.000490 (0.492831) | 0.002825 / 0.000200 (0.002626) | 0.000088 / 0.000054 (0.000033) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.031874 / 0.037411 (-0.005538) | 0.117365 / 0.014526 (0.102840) | 0.127697 / 0.176557 (-0.048859) | 0.175589 / 0.737135 (-0.561546) | 0.137731 / 0.296338 (-0.158608) |

### 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) | 0.472563 / 0.215209 (0.257354) | 4.744383 / 2.077655 (2.666728) | 2.152015 / 1.504120 (0.647895) | 1.925398 / 1.541195 (0.384203) | 2.054613 / 1.468490 (0.586123) | 0.821703 / 4.584777 (-3.763074) | 4.468177 / 3.745712 (0.722465) | 4.687682 / 5.269862 (-0.582179) | 2.379674 / 4.565676 (-2.186003) | 0.101325 / 0.424275 (-0.322950) | 0.014891 / 0.007607 (0.007284) | 0.593161 / 0.226044 (0.367117) | 5.641670 / 2.268929 (3.372741) | 2.460206 / 55.444624 (-52.984419) | 2.131148 / 6.876477 (-4.745329) | 2.351067 / 2.142072 (0.208994) | 0.997634 / 4.805227 (-3.807593) | 0.195338 / 6.500664 (-6.305326) | 0.075540 / 0.075469 (0.000071) |

### 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) | 1.411585 / 1.841788 (-0.430203) | 17.055689 / 8.074308 (8.981381) | 16.544028 / 10.191392 (6.352636) | 0.180840 / 0.680424 (-0.499584) | 0.034549 / 0.534201 (-0.499652) | 0.510256 / 0.579283 (-0.069027) | 0.525632 / 0.434364 (0.091268) | 0.601206 / 0.540337 (0.060868) | 0.668468 / 1.386936 (-0.718469) |

</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) | 0.008989 / 0.011353 (-0.002364) | 0.006065 / 0.011008 (-0.004943) | 0.088294 / 0.038508 (0.049786) | 0.040404 / 0.023109 (0.017295) | 0.405622 / 0.275898 (0.129724) | 0.454519 / 0.323480 (0.131039) | 0.006919 / 0.007986 (-0.001067) | 0.004545 / 0.004328 (0.000217) | 0.087023 / 0.004250 (0.082772) | 0.055962 / 0.037052 (0.018910) | 0.400942 / 0.258489 (0.142453) | 0.490670 / 0.293841 (0.196829) | 0.044086 / 0.128546 (-0.084461) | 0.014485 / 0.075646 (-0.061162) | 0.103333 / 0.419271 (-0.315938) | 0.059663 / 0.043533 (0.016130) | 0.404944 / 0.255139 (0.149805) | 0.425763 / 0.283200 (0.142563) | 0.123989 / 0.141683 (-0.017694) | 1.777244 / 1.452155 (0.325089) | 1.879884 / 1.492716 (0.387167) |

### 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) | 0.226440 / 0.018006 (0.208434) | 0.492688 / 0.000490 (0.492198) | 0.004691 / 0.000200 (0.004491) | 0.000110 / 0.000054 (0.000055) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.035123 / 0.037411 (-0.002288) | 0.134288 / 0.014526 (0.119762) | 0.145542 / 0.176557 (-0.031015) | 0.195372 / 0.737135 (-0.541764) | 0.152551 / 0.296338 (-0.143787) |

### 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) | 0.468615 / 0.215209 (0.253406) | 4.813363 / 2.077655 (2.735708) | 2.333606 / 1.504120 (0.829486) | 2.107344 / 1.541195 (0.566149) | 2.109109 / 1.468490 (0.640619) | 0.783779 / 4.584777 (-3.800998) | 4.521448 / 3.745712 (0.775736) | 2.290532 / 5.269862 (-2.979329) | 1.553488 / 4.565676 (-3.012189) | 0.088786 / 0.424275 (-0.335489) | 0.013091 / 0.007607 (0.005484) | 0.567165 / 0.226044 (0.341120) | 5.974315 / 2.268929 (3.705386) | 2.815018 / 55.444624 (-52.629606) | 2.488954 / 6.876477 (-4.387522) | 2.461849 / 2.142072 (0.319776) | 0.934487 / 4.805227 (-3.870740) | 0.190209 / 6.500664 (-6.310455) | 0.074811 / 0.075469 (-0.000658) |

### 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) | 1.513476 / 1.841788 (-0.328311) | 17.902599 / 8.074308 (9.828291) | 14.308027 / 10.191392 (4.116635) | 0.201992 / 0.680424 (-0.478432) | 0.018678 / 0.534201 (-0.515523) | 0.454707 / 0.579283 (-0.124576) | 0.470643 / 0.434364 (0.036279) | 0.612534 / 0.540337 (0.072197) | 0.685773 / 1.386936 (-0.701163) |

</details>
</details>

![](https://cml.dev/watermark.png#c4a66da3633a811eb8ea01d23469c41dfec0ffb8 "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) | 0.009385 / 0.011353 (-0.001968) | 0.005220 / 0.011008 (-0.005788) | 0.098722 / 0.038508 (0.060214) | 0.035382 / 0.023109 (0.012273) | 0.297114 / 0.275898 (0.021216) | 0.371443 / 0.323480 (0.047963) | 0.008070 / 0.007986 (0.000084) | 0.004204 / 0.004328 (-0.000125) | 0.075621 / 0.004250 (0.071370) | 0.046015 / 0.037052 (0.008963) | 0.304569 / 0.258489 (0.046080) | 0.345598 / 0.293841 (0.051757) | 0.037946 / 0.128546 (-0.090600) | 0.011972 / 0.075646 (-0.063674) | 0.331993 / 0.419271 (-0.087279) | 0.047250 / 0.043533 (0.003717) | 0.296588 / 0.255139 (0.041449) | 0.316070 / 0.283200 (0.032870) | 0.108211 / 0.141683 (-0.033472) | 1.447619 / 1.452155 (-0.004535) | 1.481243 / 1.492716 (-0.011473) |

### 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) | 0.274860 / 0.018006 (0.256854) | 0.503139 / 0.000490 (0.502649) | 0.003598 / 0.000200 (0.003398) | 0.000081 / 0.000054 (0.000027) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.026752 / 0.037411 (-0.010660) | 0.109008 / 0.014526 (0.094482) | 0.119109 / 0.176557 (-0.057448) | 0.158462 / 0.737135 (-0.578673) | 0.126171 / 0.296338 (-0.170168) |

### 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) | 0.396396 / 0.215209 (0.181187) | 3.963055 / 2.077655 (1.885400) | 1.796308 / 1.504120 (0.292188) | 1.600565 / 1.541195 (0.059370) | 1.742409 / 1.468490 (0.273919) | 0.690942 / 4.584777 (-3.893835) | 3.713343 / 3.745712 (-0.032369) | 2.066804 / 5.269862 (-3.203058) | 1.292946 / 4.565676 (-3.272730) | 0.084344 / 0.424275 (-0.339931) | 0.012473 / 0.007607 (0.004865) | 0.513109 / 0.226044 (0.287065) | 5.175141 / 2.268929 (2.906213) | 2.266559 / 55.444624 (-53.178066) | 1.935737 / 6.876477 (-4.940740) | 2.028911 / 2.142072 (-0.113161) | 0.831191 / 4.805227 (-3.974036) | 0.163155 / 6.500664 (-6.337509) | 0.063414 / 0.075469 (-0.012055) |

### 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) | 1.195429 / 1.841788 (-0.646358) | 15.257933 / 8.074308 (7.183625) | 14.358815 / 10.191392 (4.167423) | 0.152677 / 0.680424 (-0.527747) | 0.028890 / 0.534201 (-0.505311) | 0.455342 / 0.579283 (-0.123941) | 0.442602 / 0.434364 (0.008238) | 0.526833 / 0.540337 (-0.013505) | 0.618296 / 1.386936 (-0.768640) |

</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) | 0.007613 / 0.011353 (-0.003740) | 0.005515 / 0.011008 (-0.005493) | 0.073759 / 0.038508 (0.035251) | 0.033944 / 0.023109 (0.010835) | 0.347764 / 0.275898 (0.071866) | 0.371143 / 0.323480 (0.047664) | 0.005997 / 0.007986 (-0.001988) | 0.004322 / 0.004328 (-0.000006) | 0.073002 / 0.004250 (0.068751) | 0.053051 / 0.037052 (0.015999) | 0.340345 / 0.258489 (0.081856) | 0.383761 / 0.293841 (0.089920) | 0.037734 / 0.128546 (-0.090813) | 0.012815 / 0.075646 (-0.062831) | 0.086998 / 0.419271 (-0.332273) | 0.050165 / 0.043533 (0.006632) | 0.343864 / 0.255139 (0.088725) | 0.356734 / 0.283200 (0.073534) | 0.108955 / 0.141683 (-0.032728) | 1.464558 / 1.452155 (0.012403) | 1.560084 / 1.492716 (0.067368) |

### 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) | 0.327885 / 0.018006 (0.309878) | 0.515515 / 0.000490 (0.515025) | 0.000439 / 0.000200 (0.000239) | 0.000059 / 0.000054 (0.000004) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.030741 / 0.037411 (-0.006670) | 0.107634 / 0.014526 (0.093108) | 0.127121 / 0.176557 (-0.049436) | 0.164044 / 0.737135 (-0.573092) | 0.129097 / 0.296338 (-0.167242) |

### 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) | 0.435690 / 0.215209 (0.220481) | 4.350705 / 2.077655 (2.273050) | 2.199597 / 1.504120 (0.695477) | 2.022715 / 1.541195 (0.481521) | 2.265907 / 1.468490 (0.797417) | 0.695817 / 4.584777 (-3.888960) | 3.795207 / 3.745712 (0.049494) | 3.061587 / 5.269862 (-2.208274) | 1.872213 / 4.565676 (-2.693463) | 0.085265 / 0.424275 (-0.339010) | 0.012243 / 0.007607 (0.004636) | 0.547209 / 0.226044 (0.321164) | 5.383626 / 2.268929 (3.114698) | 2.707439 / 55.444624 (-52.737185) | 2.393773 / 6.876477 (-4.482703) | 2.481385 / 2.142072 (0.339312) | 0.826169 / 4.805227 (-3.979059) | 0.166643 / 6.500664 (-6.334021) | 0.065817 / 0.075469 (-0.009652) |

### 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) | 1.274469 / 1.841788 (-0.567318) | 15.565025 / 8.074308 (7.490717) | 14.254192 / 10.191392 (4.062800) | 0.166785 / 0.680424 (-0.513639) | 0.017830 / 0.534201 (-0.516371) | 0.430406 / 0.579283 (-0.148877) | 0.435655 / 0.434364 (0.001292) | 0.530605 / 0.540337 (-0.009732) | 0.636355 / 1.386936 (-0.750581) |

</details>
</details>

![](https://cml.dev/watermark.png#146983fdc70b9fe2cc38109368e185b6ffa7a05e "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) | 0.008466 / 0.011353 (-0.002887) | 0.004679 / 0.011008 (-0.006329) | 0.100534 / 0.038508 (0.062025) | 0.029513 / 0.023109 (0.006403) | 0.302866 / 0.275898 (0.026968) | 0.352816 / 0.323480 (0.029336) | 0.006912 / 0.007986 (-0.001074) | 0.003513 / 0.004328 (-0.000815) | 0.078625 / 0.004250 (0.074375) | 0.036725 / 0.037052 (-0.000327) | 0.312135 / 0.258489 (0.053646) | 0.344579 / 0.293841 (0.050738) | 0.033870 / 0.128546 (-0.094677) | 0.011563 / 0.075646 (-0.064083) | 0.318982 / 0.419271 (-0.100290) | 0.043002 / 0.043533 (-0.000531) | 0.301956 / 0.255139 (0.046817) | 0.330798 / 0.283200 (0.047599) | 0.091755 / 0.141683 (-0.049927) | 1.458577 / 1.452155 (0.006422) | 1.532642 / 1.492716 (0.039926) |

### 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) | 0.194853 / 0.018006 (0.176847) | 0.396844 / 0.000490 (0.396354) | 0.004401 / 0.000200 (0.004201) | 0.000076 / 0.000054 (0.000022) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.022971 / 0.037411 (-0.014441) | 0.096595 / 0.014526 (0.082069) | 0.106104 / 0.176557 (-0.070452) | 0.144815 / 0.737135 (-0.592320) | 0.110036 / 0.296338 (-0.186303) |

### 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) | 0.415025 / 0.215209 (0.199816) | 4.138136 / 2.077655 (2.060481) | 1.861253 / 1.504120 (0.357133) | 1.653420 / 1.541195 (0.112226) | 1.703784 / 1.468490 (0.235294) | 0.698261 / 4.584777 (-3.886516) | 3.357240 / 3.745712 (-0.388472) | 3.025790 / 5.269862 (-2.244072) | 1.637191 / 4.565676 (-2.928485) | 0.085620 / 0.424275 (-0.338655) | 0.012454 / 0.007607 (0.004846) | 0.524708 / 0.226044 (0.298663) | 5.269234 / 2.268929 (3.000306) | 2.290612 / 55.444624 (-53.154012) | 1.936107 / 6.876477 (-4.940370) | 1.968216 / 2.142072 (-0.173856) | 0.810438 / 4.805227 (-3.994789) | 0.154133 / 6.500664 (-6.346531) | 0.064978 / 0.075469 (-0.010491) |

### 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) | 1.231782 / 1.841788 (-0.610006) | 13.545573 / 8.074308 (5.471264) | 14.558765 / 10.191392 (4.367373) | 0.140763 / 0.680424 (-0.539661) | 0.029259 / 0.534201 (-0.504942) | 0.407776 / 0.579283 (-0.171507) | 0.410244 / 0.434364 (-0.024120) | 0.477313 / 0.540337 (-0.063024) | 0.551465 / 1.386936 (-0.835471) |

</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) | 0.006272 / 0.011353 (-0.005081) | 0.004397 / 0.011008 (-0.006611) | 0.077496 / 0.038508 (0.038988) | 0.026946 / 0.023109 (0.003837) | 0.342992 / 0.275898 (0.067094) | 0.374407 / 0.323480 (0.050927) | 0.004849 / 0.007986 (-0.003136) | 0.004549 / 0.004328 (0.000220) | 0.076439 / 0.004250 (0.072189) | 0.035829 / 0.037052 (-0.001224) | 0.343483 / 0.258489 (0.084994) | 0.385581 / 0.293841 (0.091740) | 0.031745 / 0.128546 (-0.096801) | 0.011617 / 0.075646 (-0.064030) | 0.087207 / 0.419271 (-0.332064) | 0.042252 / 0.043533 (-0.001281) | 0.343223 / 0.255139 (0.088084) | 0.368707 / 0.283200 (0.085508) | 0.093259 / 0.141683 (-0.048424) | 1.506904 / 1.452155 (0.054750) | 1.567583 / 1.492716 (0.074867) |

### 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) | 0.158962 / 0.018006 (0.140955) | 0.395982 / 0.000490 (0.395492) | 0.003604 / 0.000200 (0.003404) | 0.000078 / 0.000054 (0.000023) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.025003 / 0.037411 (-0.012408) | 0.101176 / 0.014526 (0.086650) | 0.104494 / 0.176557 (-0.072062) | 0.140414 / 0.737135 (-0.596722) | 0.108398 / 0.296338 (-0.187941) |

### 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) | 0.436849 / 0.215209 (0.221640) | 4.369428 / 2.077655 (2.291774) | 2.070613 / 1.504120 (0.566493) | 1.867511 / 1.541195 (0.326317) | 1.866589 / 1.468490 (0.398099) | 0.700036 / 4.584777 (-3.884741) | 3.407513 / 3.745712 (-0.338199) | 3.022409 / 5.269862 (-2.247453) | 1.581423 / 4.565676 (-2.984253) | 0.083425 / 0.424275 (-0.340850) | 0.012380 / 0.007607 (0.004773) | 0.535087 / 0.226044 (0.309043) | 5.374814 / 2.268929 (3.105886) | 2.504841 / 55.444624 (-52.939784) | 2.166484 / 6.876477 (-4.709993) | 2.166363 / 2.142072 (0.024291) | 0.803692 / 4.805227 (-4.001535) | 0.150873 / 6.500664 (-6.349791) | 0.066253 / 0.075469 (-0.009216) |

### 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) | 1.291256 / 1.841788 (-0.550532) | 13.827843 / 8.074308 (5.753535) | 13.839334 / 10.191392 (3.647942) | 0.153530 / 0.680424 (-0.526894) | 0.016896 / 0.534201 (-0.517305) | 0.379937 / 0.579283 (-0.199346) | 0.396241 / 0.434364 (-0.038123) | 0.461808 / 0.540337 (-0.078530) | 0.553023 / 1.386936 (-0.833913) |

</details>
</details>

![](https://cml.dev/watermark.png#779ddc5c7ebbd406b2a6c9092c3f455a2cc7f5e7 "CML watermark")

Use the "shard generator approach with periodic progress updates" (used in `save_to_disk` and multi-proc `load_dataset`) in `Dataset.map` to enable having a single TQDM progress bar in the multi-proc mode.

Closes https://github.com/huggingface/datasets/issues/771, closes https://github.com/huggingface/datasets/issues/3177

TODO:
- [x] cleaner refactor of the `_map_single` decorators now that they also have to wrap generator functions (decorate `map` instead of `map_single` with the `transmit_` decorators and predict the shards' fingerprint in `map`)