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2024-06-03T05:32:56Z
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<details>
<summary>Show benchmarks</summary>

PyArrow==8.0.0

<details>
<summary>Show updated benchmarks!</summary>

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.005150 / 0.011353 (-0.006203) | 0.003663 / 0.011008 (-0.007346) | 0.062832 / 0.038508 (0.024324) | 0.031928 / 0.023109 (0.008819) | 0.246455 / 0.275898 (-0.029443) | 0.272121 / 0.323480 (-0.051359) | 0.004220 / 0.007986 (-0.003765) | 0.002756 / 0.004328 (-0.001573) | 0.050071 / 0.004250 (0.045821) | 0.046074 / 0.037052 (0.009022) | 0.259676 / 0.258489 (0.001187) | 0.290674 / 0.293841 (-0.003167) | 0.027822 / 0.128546 (-0.100724) | 0.010791 / 0.075646 (-0.064855) | 0.202827 / 0.419271 (-0.216445) | 0.037057 / 0.043533 (-0.006476) | 0.256128 / 0.255139 (0.000989) | 0.269422 / 0.283200 (-0.013777) | 0.017395 / 0.141683 (-0.124288) | 1.125919 / 1.452155 (-0.326236) | 1.177708 / 1.492716 (-0.315008) |

### 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) | 0.098466 / 0.018006 (0.080460) | 0.305508 / 0.000490 (0.305018) | 0.000232 / 0.000200 (0.000032) | 0.000043 / 0.000054 (-0.000011) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.018866 / 0.037411 (-0.018545) | 0.062079 / 0.014526 (0.047553) | 0.074670 / 0.176557 (-0.101886) | 0.121025 / 0.737135 (-0.616111) | 0.075883 / 0.296338 (-0.220455) |

### 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) | 0.291880 / 0.215209 (0.076671) | 2.874064 / 2.077655 (0.796409) | 1.477040 / 1.504120 (-0.027080) | 1.356198 / 1.541195 (-0.184997) | 1.354676 / 1.468490 (-0.113814) | 0.559731 / 4.584777 (-4.025046) | 2.362746 / 3.745712 (-1.382966) | 2.678838 / 5.269862 (-2.591024) | 1.752633 / 4.565676 (-2.813044) | 0.064023 / 0.424275 (-0.360252) | 0.005035 / 0.007607 (-0.002572) | 0.354807 / 0.226044 (0.128762) | 3.424463 / 2.268929 (1.155534) | 1.810476 / 55.444624 (-53.634149) | 1.519031 / 6.876477 (-5.357446) | 1.693957 / 2.142072 (-0.448116) | 0.647987 / 4.805227 (-4.157240) | 0.118993 / 6.500664 (-6.381671) | 0.042186 / 0.075469 (-0.033283) |

### Benchmark: benchmark_map_filter.json

| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |
|--------|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.982565 / 1.841788 (-0.859223) | 11.645075 / 8.074308 (3.570767) | 9.588360 / 10.191392 (-0.603032) | 0.142369 / 0.680424 (-0.538055) | 0.014025 / 0.534201 (-0.520176) | 0.285668 / 0.579283 (-0.293616) | 0.265825 / 0.434364 (-0.168539) | 0.323371 / 0.540337 (-0.216966) | 0.421227 / 1.386936 (-0.965709) |

</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) | 0.005587 / 0.011353 (-0.005766) | 0.003664 / 0.011008 (-0.007345) | 0.050411 / 0.038508 (0.011903) | 0.033268 / 0.023109 (0.010159) | 0.266631 / 0.275898 (-0.009267) | 0.291135 / 0.323480 (-0.032345) | 0.004275 / 0.007986 (-0.003710) | 0.002822 / 0.004328 (-0.001506) | 0.049349 / 0.004250 (0.045099) | 0.040653 / 0.037052 (0.003601) | 0.282641 / 0.258489 (0.024152) | 0.315460 / 0.293841 (0.021619) | 0.029343 / 0.128546 (-0.099203) | 0.010606 / 0.075646 (-0.065040) | 0.058783 / 0.419271 (-0.360489) | 0.033205 / 0.043533 (-0.010327) | 0.266805 / 0.255139 (0.011666) | 0.288907 / 0.283200 (0.005707) | 0.017817 / 0.141683 (-0.123866) | 1.128132 / 1.452155 (-0.324023) | 1.175120 / 1.492716 (-0.317597) |

### 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) | 0.095653 / 0.018006 (0.077647) | 0.304825 / 0.000490 (0.304335) | 0.000212 / 0.000200 (0.000012) | 0.000045 / 0.000054 (-0.000010) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.022766 / 0.037411 (-0.014645) | 0.076598 / 0.014526 (0.062072) | 0.088314 / 0.176557 (-0.088242) | 0.127888 / 0.737135 (-0.609247) | 0.090391 / 0.296338 (-0.205947) |

### 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) | 0.293384 / 0.215209 (0.078175) | 2.883742 / 2.077655 (0.806087) | 1.533868 / 1.504120 (0.029748) | 1.391964 / 1.541195 (-0.149231) | 1.423732 / 1.468490 (-0.044759) | 0.575457 / 4.584777 (-4.009320) | 0.970860 / 3.745712 (-2.774852) | 2.711405 / 5.269862 (-2.558457) | 1.774468 / 4.565676 (-2.791208) | 0.064611 / 0.424275 (-0.359664) | 0.005120 / 0.007607 (-0.002487) | 0.343892 / 0.226044 (0.117847) | 3.362579 / 2.268929 (1.093650) | 1.880200 / 55.444624 (-53.564424) | 1.587435 / 6.876477 (-5.289042) | 1.756464 / 2.142072 (-0.385609) | 0.661469 / 4.805227 (-4.143759) | 0.119030 / 6.500664 (-6.381634) | 0.041704 / 0.075469 (-0.033765) |

### 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) | 1.025008 / 1.841788 (-0.816780) | 12.146244 / 8.074308 (4.071936) | 10.397267 / 10.191392 (0.205875) | 0.145917 / 0.680424 (-0.534507) | 0.015779 / 0.534201 (-0.518422) | 0.287122 / 0.579283 (-0.292161) | 0.125464 / 0.434364 (-0.308900) | 0.323315 / 0.540337 (-0.217023) | 0.416761 / 1.386936 (-0.970175) |

</details>
</details>

![](https://cml.dev/watermark.png#e2d15a6b1871f3998986853298e4338d72891491 "CML watermark")

2024-06-03T05:37:49Z
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