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2023-08-03T14:52:50Z
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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) | 0.012516 / 0.011353 (0.001163) | 0.004725 / 0.011008 (-0.006283) | 0.112245 / 0.038508 (0.073736) | 0.079146 / 0.023109 (0.056037) | 0.386415 / 0.275898 (0.110517) | 0.420441 / 0.323480 (0.096961) | 0.005682 / 0.007986 (-0.002304) | 0.004169 / 0.004328 (-0.000160) | 0.077847 / 0.004250 (0.073597) | 0.055763 / 0.037052 (0.018711) | 0.385529 / 0.258489 (0.127040) | 0.422711 / 0.293841 (0.128870) | 0.047212 / 0.128546 (-0.081334) | 0.013711 / 0.075646 (-0.061935) | 0.342856 / 0.419271 (-0.076416) | 0.066788 / 0.043533 (0.023255) | 0.380728 / 0.255139 (0.125589) | 0.416241 / 0.283200 (0.133041) | 0.034676 / 0.141683 (-0.107007) | 1.679661 / 1.452155 (0.227506) | 1.838014 / 1.492716 (0.345297) |

### 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) | 0.219556 / 0.018006 (0.201550) | 0.524728 / 0.000490 (0.524238) | 0.005045 / 0.000200 (0.004845) | 0.000124 / 0.000054 (0.000069) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.025475 / 0.037411 (-0.011936) | 0.085937 / 0.014526 (0.071412) | 0.099245 / 0.176557 (-0.077311) | 0.158995 / 0.737135 (-0.578141) | 0.101504 / 0.296338 (-0.194835) |

### 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) | 0.582200 / 0.215209 (0.366991) | 5.794340 / 2.077655 (3.716685) | 2.473635 / 1.504120 (0.969515) | 2.168135 / 1.541195 (0.626941) | 2.215886 / 1.468490 (0.747396) | 0.855599 / 4.584777 (-3.729178) | 5.003067 / 3.745712 (1.257354) | 4.503566 / 5.269862 (-0.766295) | 2.912248 / 4.565676 (-1.653428) | 0.103267 / 0.424275 (-0.321008) | 0.012114 / 0.007607 (0.004507) | 0.712240 / 0.226044 (0.486196) | 7.131946 / 2.268929 (4.863017) | 3.280052 / 55.444624 (-52.164573) | 2.583472 / 6.876477 (-4.293004) | 2.820758 / 2.142072 (0.678686) | 1.132097 / 4.805227 (-3.673131) | 0.232191 / 6.500664 (-6.268473) | 0.082966 / 0.075469 (0.007497) |

### 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) | 1.581125 / 1.841788 (-0.260662) | 22.723878 / 8.074308 (14.649570) | 19.969347 / 10.191392 (9.777955) | 0.234365 / 0.680424 (-0.446059) | 0.030245 / 0.534201 (-0.503956) | 0.470843 / 0.579283 (-0.108440) | 0.558069 / 0.434364 (0.123705) | 0.534878 / 0.540337 (-0.005460) | 0.801025 / 1.386936 (-0.585911) |

</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) | 0.008524 / 0.011353 (-0.002829) | 0.005083 / 0.011008 (-0.005925) | 0.078054 / 0.038508 (0.039546) | 0.082025 / 0.023109 (0.058915) | 0.458027 / 0.275898 (0.182129) | 0.498232 / 0.323480 (0.174752) | 0.005938 / 0.007986 (-0.002048) | 0.003776 / 0.004328 (-0.000553) | 0.080413 / 0.004250 (0.076163) | 0.060485 / 0.037052 (0.023433) | 0.462816 / 0.258489 (0.204327) | 0.513970 / 0.293841 (0.220129) | 0.047574 / 0.128546 (-0.080973) | 0.013424 / 0.075646 (-0.062222) | 0.087707 / 0.419271 (-0.331565) | 0.065007 / 0.043533 (0.021474) | 0.465844 / 0.255139 (0.210705) | 0.498474 / 0.283200 (0.215274) | 0.033518 / 0.141683 (-0.108164) | 1.737507 / 1.452155 (0.285352) | 1.848291 / 1.492716 (0.355574) |

### 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) | 0.316710 / 0.018006 (0.298703) | 0.504415 / 0.000490 (0.503925) | 0.042128 / 0.000200 (0.041928) | 0.000171 / 0.000054 (0.000117) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.032097 / 0.037411 (-0.005314) | 0.099371 / 0.014526 (0.084845) | 0.109311 / 0.176557 (-0.067246) | 0.177373 / 0.737135 (-0.559762) | 0.110753 / 0.296338 (-0.185585) |

### 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) | 0.688060 / 0.215209 (0.472851) | 6.255219 / 2.077655 (4.177564) | 2.696845 / 1.504120 (1.192725) | 2.395424 / 1.541195 (0.854230) | 2.414870 / 1.468490 (0.946380) | 0.865704 / 4.584777 (-3.719073) | 5.086828 / 3.745712 (1.341116) | 4.648107 / 5.269862 (-0.621754) | 3.091119 / 4.565676 (-1.474558) | 0.101787 / 0.424275 (-0.322489) | 0.008829 / 0.007607 (0.001222) | 0.772398 / 0.226044 (0.546354) | 7.700366 / 2.268929 (5.431438) | 3.608632 / 55.444624 (-51.835992) | 2.923309 / 6.876477 (-3.953168) | 2.952141 / 2.142072 (0.810069) | 1.093006 / 4.805227 (-3.712221) | 0.224363 / 6.500664 (-6.276301) | 0.074927 / 0.075469 (-0.000542) |

### 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) | 1.638414 / 1.841788 (-0.203374) | 23.486781 / 8.074308 (15.412473) | 21.129104 / 10.191392 (10.937712) | 0.259955 / 0.680424 (-0.420469) | 0.027305 / 0.534201 (-0.506895) | 0.464448 / 0.579283 (-0.114835) | 0.553737 / 0.434364 (0.119373) | 0.571318 / 0.540337 (0.030981) | 0.772917 / 1.386936 (-0.614019) |

</details>
</details>

![](https://cml.dev/watermark.png#3ec5ee9e78b464364796651d995823c7ecb0f951 "CML watermark")

2023-08-03T14:56:15Z
https://github.com/huggingface/datasets/pull/6117#issuecomment-1664144168
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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) | 0.009093 / 0.011353 (-0.002260) | 0.005283 / 0.011008 (-0.005725) | 0.112299 / 0.038508 (0.073791) | 0.081341 / 0.023109 (0.058232) | 0.363799 / 0.275898 (0.087901) | 0.409261 / 0.323480 (0.085781) | 0.006400 / 0.007986 (-0.001586) | 0.003965 / 0.004328 (-0.000363) | 0.074389 / 0.004250 (0.070139) | 0.060654 / 0.037052 (0.023602) | 0.391046 / 0.258489 (0.132557) | 0.430514 / 0.293841 (0.136673) | 0.054900 / 0.128546 (-0.073646) | 0.017972 / 0.075646 (-0.057675) | 0.410875 / 0.419271 (-0.008396) | 0.067405 / 0.043533 (0.023873) | 0.371468 / 0.255139 (0.116329) | 0.435061 / 0.283200 (0.151861) | 0.038063 / 0.141683 (-0.103620) | 1.733509 / 1.452155 (0.281354) | 1.833899 / 1.492716 (0.341182) |

### 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) | 0.243230 / 0.018006 (0.225224) | 0.605636 / 0.000490 (0.605146) | 0.004890 / 0.000200 (0.004690) | 0.000098 / 0.000054 (0.000043) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.027624 / 0.037411 (-0.009787) | 0.084799 / 0.014526 (0.070273) | 0.104405 / 0.176557 (-0.072152) | 0.165383 / 0.737135 (-0.571752) | 0.102083 / 0.296338 (-0.194255) |

### 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) | 0.578334 / 0.215209 (0.363125) | 5.369520 / 2.077655 (3.291866) | 2.294174 / 1.504120 (0.790055) | 2.054195 / 1.541195 (0.513000) | 2.007304 / 1.468490 (0.538814) | 0.839283 / 4.584777 (-3.745494) | 5.262288 / 3.745712 (1.516576) | 4.363346 / 5.269862 (-0.906516) | 2.854903 / 4.565676 (-1.710773) | 0.096975 / 0.424275 (-0.327300) | 0.008237 / 0.007607 (0.000630) | 0.646746 / 0.226044 (0.420702) | 6.250621 / 2.268929 (3.981693) | 2.900377 / 55.444624 (-52.544247) | 2.283238 / 6.876477 (-4.593239) | 2.443785 / 2.142072 (0.301713) | 0.991719 / 4.805227 (-3.813508) | 0.189755 / 6.500664 (-6.310909) | 0.067906 / 0.075469 (-0.007563) |

### 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) | 1.515563 / 1.841788 (-0.326225) | 21.956499 / 8.074308 (13.882191) | 19.161750 / 10.191392 (8.970358) | 0.238199 / 0.680424 (-0.442225) | 0.026771 / 0.534201 (-0.507430) | 0.450195 / 0.579283 (-0.129088) | 0.585168 / 0.434364 (0.150804) | 0.522945 / 0.540337 (-0.017393) | 0.776244 / 1.386936 (-0.610693) |

</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) | 0.007997 / 0.011353 (-0.003356) | 0.005021 / 0.011008 (-0.005988) | 0.087308 / 0.038508 (0.048800) | 0.077760 / 0.023109 (0.054650) | 0.425313 / 0.275898 (0.149415) | 0.451470 / 0.323480 (0.127990) | 0.006848 / 0.007986 (-0.001137) | 0.004812 / 0.004328 (0.000484) | 0.071198 / 0.004250 (0.066947) | 0.058325 / 0.037052 (0.021273) | 0.427411 / 0.258489 (0.168922) | 0.466069 / 0.293841 (0.172228) | 0.048686 / 0.128546 (-0.079861) | 0.011841 / 0.075646 (-0.063806) | 0.086225 / 0.419271 (-0.333047) | 0.060500 / 0.043533 (0.016967) | 0.435580 / 0.255139 (0.180441) | 0.456919 / 0.283200 (0.173719) | 0.035094 / 0.141683 (-0.106588) | 1.582805 / 1.452155 (0.130650) | 1.717838 / 1.492716 (0.225122) |

### 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) | 0.283967 / 0.018006 (0.265960) | 0.517496 / 0.000490 (0.517006) | 0.014747 / 0.000200 (0.014547) | 0.000099 / 0.000054 (0.000045) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.027870 / 0.037411 (-0.009541) | 0.083835 / 0.014526 (0.069309) | 0.099157 / 0.176557 (-0.077400) | 0.173210 / 0.737135 (-0.563925) | 0.094212 / 0.296338 (-0.202127) |

### 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) | 0.535720 / 0.215209 (0.320511) | 5.273730 / 2.077655 (3.196075) | 2.422560 / 1.504120 (0.918440) | 2.131416 / 1.541195 (0.590222) | 2.192000 / 1.468490 (0.723510) | 0.708469 / 4.584777 (-3.876308) | 4.758092 / 3.745712 (1.012380) | 3.940729 / 5.269862 (-1.329133) | 2.553093 / 4.565676 (-2.012583) | 0.084895 / 0.424275 (-0.339380) | 0.008730 / 0.007607 (0.001123) | 0.646975 / 0.226044 (0.420930) | 6.294811 / 2.268929 (4.025883) | 3.293964 / 55.444624 (-52.150660) | 2.568985 / 6.876477 (-4.307492) | 2.743786 / 2.142072 (0.601713) | 0.899733 / 4.805227 (-3.905494) | 0.193484 / 6.500664 (-6.307181) | 0.070012 / 0.075469 (-0.005457) |

### 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) | 1.502255 / 1.841788 (-0.339532) | 20.690234 / 8.074308 (12.615926) | 18.375791 / 10.191392 (8.184399) | 0.200135 / 0.680424 (-0.480289) | 0.029434 / 0.534201 (-0.504767) | 0.477267 / 0.579283 (-0.102016) | 0.566869 / 0.434364 (0.132505) | 0.543756 / 0.540337 (0.003418) | 0.700476 / 1.386936 (-0.686460) |

</details>
</details>

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2023-08-03T14:56:59Z
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