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2023-12-22T14:28:23Z
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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) | 0.004875 / 0.011353 (-0.006478) | 0.003501 / 0.011008 (-0.007507) | 0.062604 / 0.038508 (0.024096) | 0.031916 / 0.023109 (0.008806) | 0.256138 / 0.275898 (-0.019760) | 0.278514 / 0.323480 (-0.044966) | 0.002917 / 0.007986 (-0.005069) | 0.002636 / 0.004328 (-0.001693) | 0.049154 / 0.004250 (0.044904) | 0.041985 / 0.037052 (0.004933) | 0.256857 / 0.258489 (-0.001632) | 0.282628 / 0.293841 (-0.011213) | 0.027506 / 0.128546 (-0.101041) | 0.010736 / 0.075646 (-0.064910) | 0.207268 / 0.419271 (-0.212003) | 0.035312 / 0.043533 (-0.008221) | 0.259274 / 0.255139 (0.004135) | 0.281463 / 0.283200 (-0.001737) | 0.019905 / 0.141683 (-0.121778) | 1.108719 / 1.452155 (-0.343435) | 1.177871 / 1.492716 (-0.314845) |

### 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) | 0.004435 / 0.018006 (-0.013571) | 0.310643 / 0.000490 (0.310153) | 0.000243 / 0.000200 (0.000043) | 0.000044 / 0.000054 (-0.000010) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.018013 / 0.037411 (-0.019398) | 0.060702 / 0.014526 (0.046176) | 0.073243 / 0.176557 (-0.103314) | 0.119523 / 0.737135 (-0.617613) | 0.074204 / 0.296338 (-0.222134) |

### 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) | 0.281075 / 0.215209 (0.065866) | 2.722154 / 2.077655 (0.644499) | 1.441052 / 1.504120 (-0.063068) | 1.305940 / 1.541195 (-0.235255) | 1.356752 / 1.468490 (-0.111738) | 0.570399 / 4.584777 (-4.014378) | 2.329158 / 3.745712 (-1.416554) | 2.749093 / 5.269862 (-2.520768) | 1.717752 / 4.565676 (-2.847925) | 0.063228 / 0.424275 (-0.361047) | 0.004981 / 0.007607 (-0.002626) | 0.330601 / 0.226044 (0.104557) | 3.300987 / 2.268929 (1.032059) | 1.778673 / 55.444624 (-53.665951) | 1.507841 / 6.876477 (-5.368636) | 1.520454 / 2.142072 (-0.621619) | 0.650816 / 4.805227 (-4.154412) | 0.118606 / 6.500664 (-6.382058) | 0.042199 / 0.075469 (-0.033271) |

### 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) | 0.919668 / 1.841788 (-0.922119) | 11.293437 / 8.074308 (3.219129) | 9.928525 / 10.191392 (-0.262867) | 0.127142 / 0.680424 (-0.553282) | 0.013470 / 0.534201 (-0.520731) | 0.284648 / 0.579283 (-0.294636) | 0.264942 / 0.434364 (-0.169422) | 0.321866 / 0.540337 (-0.218471) | 0.414513 / 1.386936 (-0.972423) |

</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) | 0.005052 / 0.011353 (-0.006301) | 0.003204 / 0.011008 (-0.007804) | 0.051102 / 0.038508 (0.012594) | 0.032105 / 0.023109 (0.008996) | 0.273923 / 0.275898 (-0.001976) | 0.297031 / 0.323480 (-0.026449) | 0.004002 / 0.007986 (-0.003984) | 0.002636 / 0.004328 (-0.001693) | 0.047696 / 0.004250 (0.043445) | 0.044086 / 0.037052 (0.007034) | 0.277779 / 0.258489 (0.019289) | 0.306678 / 0.293841 (0.012837) | 0.028557 / 0.128546 (-0.099989) | 0.010631 / 0.075646 (-0.065015) | 0.056419 / 0.419271 (-0.362852) | 0.054285 / 0.043533 (0.010752) | 0.276506 / 0.255139 (0.021367) | 0.296315 / 0.283200 (0.013116) | 0.018642 / 0.141683 (-0.123040) | 1.146926 / 1.452155 (-0.305229) | 1.257625 / 1.492716 (-0.235092) |

### 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) | 0.094231 / 0.018006 (0.076225) | 0.302805 / 0.000490 (0.302315) | 0.000229 / 0.000200 (0.000029) | 0.000051 / 0.000054 (-0.000004) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.022510 / 0.037411 (-0.014901) | 0.076092 / 0.014526 (0.061566) | 0.090642 / 0.176557 (-0.085915) | 0.127016 / 0.737135 (-0.610120) | 0.089169 / 0.296338 (-0.207169) |

### 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) | 0.290812 / 0.215209 (0.075603) | 2.858528 / 2.077655 (0.780873) | 1.577555 / 1.504120 (0.073436) | 1.447810 / 1.541195 (-0.093384) | 1.447546 / 1.468490 (-0.020944) | 0.559118 / 4.584777 (-4.025659) | 2.408930 / 3.745712 (-1.336782) | 2.733761 / 5.269862 (-2.536101) | 1.700107 / 4.565676 (-2.865570) | 0.062447 / 0.424275 (-0.361828) | 0.004999 / 0.007607 (-0.002608) | 0.340207 / 0.226044 (0.114162) | 3.344131 / 2.268929 (1.075203) | 1.902289 / 55.444624 (-53.542335) | 1.628226 / 6.876477 (-5.248251) | 1.629435 / 2.142072 (-0.512637) | 0.625011 / 4.805227 (-4.180216) | 0.119929 / 6.500664 (-6.380735) | 0.041097 / 0.075469 (-0.034372) |

### 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) | 0.977461 / 1.841788 (-0.864327) | 12.303189 / 8.074308 (4.228881) | 11.008743 / 10.191392 (0.817351) | 0.128578 / 0.680424 (-0.551845) | 0.015305 / 0.534201 (-0.518896) | 0.286468 / 0.579283 (-0.292816) | 0.275824 / 0.434364 (-0.158540) | 0.321487 / 0.540337 (-0.218851) | 0.420591 / 1.386936 (-0.966345) |

</details>
</details>

![](https://cml.dev/watermark.png#5ff3670c18ed34fa8ddfa70a9aa403ae6cc9ad54 "CML watermark")

2023-12-22T14:31:40Z
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