Title: Release: 2.16.0
Author: lhoestq (MEMBER)
State: closed
Created: 2023-12-22T13:59:56Z


Comments:
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6527). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.

<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) | 0.004870 / 0.011353 (-0.006483) | 0.003606 / 0.011008 (-0.007402) | 0.062719 / 0.038508 (0.024211) | 0.031785 / 0.023109 (0.008676) | 0.238809 / 0.275898 (-0.037089) | 0.263000 / 0.323480 (-0.060480) | 0.002844 / 0.007986 (-0.005142) | 0.002698 / 0.004328 (-0.001631) | 0.048070 / 0.004250 (0.043819) | 0.042333 / 0.037052 (0.005280) | 0.243032 / 0.258489 (-0.015457) | 0.273197 / 0.293841 (-0.020644) | 0.027498 / 0.128546 (-0.101048) | 0.010592 / 0.075646 (-0.065055) | 0.204770 / 0.419271 (-0.214502) | 0.034837 / 0.043533 (-0.008696) | 0.242518 / 0.255139 (-0.012621) | 0.267461 / 0.283200 (-0.015739) | 0.018479 / 0.141683 (-0.123204) | 1.105444 / 1.452155 (-0.346710) | 1.163659 / 1.492716 (-0.329057) |

### 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) | 0.004717 / 0.018006 (-0.013289) | 0.303338 / 0.000490 (0.302849) | 0.000221 / 0.000200 (0.000021) | 0.000043 / 0.000054 (-0.000011) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.018298 / 0.037411 (-0.019113) | 0.061225 / 0.014526 (0.046699) | 0.073514 / 0.176557 (-0.103043) | 0.120230 / 0.737135 (-0.616905) | 0.076195 / 0.296338 (-0.220144) |

### 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) | 0.284731 / 0.215209 (0.069522) | 2.773463 / 2.077655 (0.695809) | 1.498239 / 1.504120 (-0.005881) | 1.372143 / 1.541195 (-0.169052) | 1.448949 / 1.468490 (-0.019542) | 0.572516 / 4.584777 (-4.012261) | 2.404041 / 3.745712 (-1.341671) | 2.763047 / 5.269862 (-2.506814) | 1.722419 / 4.565676 (-2.843257) | 0.063104 / 0.424275 (-0.361172) | 0.004989 / 0.007607 (-0.002618) | 0.341864 / 0.226044 (0.115820) | 3.391635 / 2.268929 (1.122707) | 1.872694 / 55.444624 (-53.571931) | 1.594490 / 6.876477 (-5.281987) | 1.596940 / 2.142072 (-0.545132) | 0.645265 / 4.805227 (-4.159962) | 0.117408 / 6.500664 (-6.383256) | 0.042405 / 0.075469 (-0.033064) |

### 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) | 0.963207 / 1.841788 (-0.878580) | 11.676551 / 8.074308 (3.602243) | 10.194287 / 10.191392 (0.002895) | 0.130329 / 0.680424 (-0.550094) | 0.015381 / 0.534201 (-0.518820) | 0.288848 / 0.579283 (-0.290435) | 0.264781 / 0.434364 (-0.169583) | 0.321212 / 0.540337 (-0.219126) | 0.418308 / 1.386936 (-0.968628) |

</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) | 0.005533 / 0.011353 (-0.005819) | 0.003733 / 0.011008 (-0.007276) | 0.048877 / 0.038508 (0.010369) | 0.030263 / 0.023109 (0.007154) | 0.281161 / 0.275898 (0.005263) | 0.302971 / 0.323480 (-0.020509) | 0.003943 / 0.007986 (-0.004043) | 0.002717 / 0.004328 (-0.001612) | 0.047845 / 0.004250 (0.043594) | 0.045809 / 0.037052 (0.008757) | 0.283337 / 0.258489 (0.024848) | 0.312914 / 0.293841 (0.019073) | 0.029074 / 0.128546 (-0.099472) | 0.010775 / 0.075646 (-0.064871) | 0.057461 / 0.419271 (-0.361810) | 0.053756 / 0.043533 (0.010223) | 0.281809 / 0.255139 (0.026670) | 0.298339 / 0.283200 (0.015139) | 0.019270 / 0.141683 (-0.122413) | 1.117575 / 1.452155 (-0.334580) | 1.191703 / 1.492716 (-0.301013) |

### 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) | 0.093513 / 0.018006 (0.075507) | 0.301267 / 0.000490 (0.300777) | 0.000211 / 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) | 0.022278 / 0.037411 (-0.015133) | 0.076805 / 0.014526 (0.062279) | 0.088820 / 0.176557 (-0.087736) | 0.127903 / 0.737135 (-0.609233) | 0.092988 / 0.296338 (-0.203350) |

### 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) | 0.297787 / 0.215209 (0.082578) | 2.899652 / 2.077655 (0.821997) | 1.598830 / 1.504120 (0.094710) | 1.469398 / 1.541195 (-0.071797) | 1.511099 / 1.468490 (0.042609) | 0.559785 / 4.584777 (-4.024992) | 2.426448 / 3.745712 (-1.319264) | 2.798811 / 5.269862 (-2.471051) | 1.737790 / 4.565676 (-2.827887) | 0.062219 / 0.424275 (-0.362056) | 0.005120 / 0.007607 (-0.002487) | 0.351051 / 0.226044 (0.125007) | 3.492063 / 2.268929 (1.223134) | 1.965674 / 55.444624 (-53.478950) | 1.672874 / 6.876477 (-5.203603) | 1.709700 / 2.142072 (-0.432373) | 0.639347 / 4.805227 (-4.165880) | 0.126383 / 6.500664 (-6.374281) | 0.042731 / 0.075469 (-0.032738) |

### 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) | 0.968619 / 1.841788 (-0.873168) | 12.671030 / 8.074308 (4.596722) | 11.125347 / 10.191392 (0.933955) | 0.142983 / 0.680424 (-0.537441) | 0.015726 / 0.534201 (-0.518475) | 0.288610 / 0.579283 (-0.290673) | 0.276473 / 0.434364 (-0.157891) | 0.326590 / 0.540337 (-0.213748) | 0.423832 / 1.386936 (-0.963104) |

</details>
</details>

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