Title: Release: 2.16.1
Author: lhoestq (MEMBER)
State: closed
Created: 2023-12-30T16:44:51Z


Comments:
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6546). 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) | 0.005415 / 0.011353 (-0.005938) | 0.003733 / 0.011008 (-0.007275) | 0.064178 / 0.038508 (0.025670) | 0.033162 / 0.023109 (0.010053) | 0.249799 / 0.275898 (-0.026099) | 0.274875 / 0.323480 (-0.048605) | 0.002977 / 0.007986 (-0.005009) | 0.002696 / 0.004328 (-0.001633) | 0.050042 / 0.004250 (0.045792) | 0.047127 / 0.037052 (0.010074) | 0.250865 / 0.258489 (-0.007624) | 0.289758 / 0.293841 (-0.004083) | 0.028007 / 0.128546 (-0.100539) | 0.010671 / 0.075646 (-0.064975) | 0.207123 / 0.419271 (-0.212148) | 0.036403 / 0.043533 (-0.007130) | 0.261527 / 0.255139 (0.006388) | 0.277277 / 0.283200 (-0.005922) | 0.019418 / 0.141683 (-0.122264) | 1.118019 / 1.452155 (-0.334136) | 1.180254 / 1.492716 (-0.312462) |

### 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) | 0.004604 / 0.018006 (-0.013402) | 0.308129 / 0.000490 (0.307639) | 0.000202 / 0.000200 (0.000002) | 0.000043 / 0.000054 (-0.000012) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.018400 / 0.037411 (-0.019011) | 0.060777 / 0.014526 (0.046251) | 0.073059 / 0.176557 (-0.103498) | 0.119677 / 0.737135 (-0.617458) | 0.074076 / 0.296338 (-0.222263) |

### 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) | 0.275353 / 0.215209 (0.060144) | 2.694079 / 2.077655 (0.616424) | 1.419670 / 1.504120 (-0.084450) | 1.302079 / 1.541195 (-0.239116) | 1.342077 / 1.468490 (-0.126413) | 0.549794 / 4.584777 (-4.034983) | 2.377149 / 3.745712 (-1.368563) | 2.800362 / 5.269862 (-2.469500) | 1.728152 / 4.565676 (-2.837524) | 0.061774 / 0.424275 (-0.362501) | 0.004898 / 0.007607 (-0.002709) | 0.330996 / 0.226044 (0.104952) | 3.262010 / 2.268929 (0.993082) | 1.761106 / 55.444624 (-53.683518) | 1.489783 / 6.876477 (-5.386694) | 1.532470 / 2.142072 (-0.609602) | 0.648814 / 4.805227 (-4.156414) | 0.116893 / 6.500664 (-6.383771) | 0.042167 / 0.075469 (-0.033303) |

### 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) | 0.937679 / 1.841788 (-0.904109) | 11.621632 / 8.074308 (3.547324) | 10.226177 / 10.191392 (0.034785) | 0.129242 / 0.680424 (-0.551182) | 0.014884 / 0.534201 (-0.519317) | 0.287619 / 0.579283 (-0.291664) | 0.261677 / 0.434364 (-0.172687) | 0.336361 / 0.540337 (-0.203976) | 0.426461 / 1.386936 (-0.960475) |

</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) | 0.005246 / 0.011353 (-0.006106) | 0.003533 / 0.011008 (-0.007475) | 0.051691 / 0.038508 (0.013182) | 0.031551 / 0.023109 (0.008442) | 0.297884 / 0.275898 (0.021986) | 0.323100 / 0.323480 (-0.000380) | 0.004101 / 0.007986 (-0.003884) | 0.002668 / 0.004328 (-0.001661) | 0.048764 / 0.004250 (0.044513) | 0.045429 / 0.037052 (0.008377) | 0.300107 / 0.258489 (0.041618) | 0.335650 / 0.293841 (0.041809) | 0.030061 / 0.128546 (-0.098485) | 0.010878 / 0.075646 (-0.064768) | 0.058561 / 0.419271 (-0.360710) | 0.052829 / 0.043533 (0.009296) | 0.302704 / 0.255139 (0.047565) | 0.320527 / 0.283200 (0.037327) | 0.018995 / 0.141683 (-0.122688) | 1.144050 / 1.452155 (-0.308105) | 1.255275 / 1.492716 (-0.237441) |

### 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) | 0.092708 / 0.018006 (0.074701) | 0.305204 / 0.000490 (0.304714) | 0.000224 / 0.000200 (0.000024) | 0.000055 / 0.000054 (0.000000) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.021607 / 0.037411 (-0.015805) | 0.075938 / 0.014526 (0.061412) | 0.090864 / 0.176557 (-0.085693) | 0.128248 / 0.737135 (-0.608887) | 0.090322 / 0.296338 (-0.206017) |

### 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) | 0.302095 / 0.215209 (0.086886) | 2.925686 / 2.077655 (0.848032) | 1.617767 / 1.504120 (0.113648) | 1.477975 / 1.541195 (-0.063220) | 1.508576 / 1.468490 (0.040086) | 0.574376 / 4.584777 (-4.010401) | 2.467483 / 3.745712 (-1.278229) | 2.832500 / 5.269862 (-2.437362) | 1.765233 / 4.565676 (-2.800443) | 0.064105 / 0.424275 (-0.360170) | 0.005090 / 0.007607 (-0.002517) | 0.349819 / 0.226044 (0.123774) | 3.468916 / 2.268929 (1.199987) | 1.946499 / 55.444624 (-53.498126) | 1.684369 / 6.876477 (-5.192107) | 1.711036 / 2.142072 (-0.431036) | 0.650153 / 4.805227 (-4.155075) | 0.116598 / 6.500664 (-6.384066) | 0.041213 / 0.075469 (-0.034256) |

### 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) | 0.990842 / 1.841788 (-0.850946) | 12.348468 / 8.074308 (4.274160) | 11.174441 / 10.191392 (0.983049) | 0.140950 / 0.680424 (-0.539473) | 0.016100 / 0.534201 (-0.518101) | 0.286486 / 0.579283 (-0.292797) | 0.282054 / 0.434364 (-0.152310) | 0.324261 / 0.540337 (-0.216076) | 0.420717 / 1.386936 (-0.966219) |

</details>
</details>

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