set dev version
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5686). All of your documentation changes will be reflected on that endpoint. <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) | 0.008460 / 0.011353 (-0.002893) | 0.006114 / 0.011008 (-0.004894) | 0.121496 / 0.038508 (0.082987) | 0.035030 / 0.023109 (0.011920) | 0.397778 / 0.275898 (0.121880) | 0.429020 / 0.323480 (0.105540) | 0.007811 / 0.007986 (-0.000174) | 0.006269 / 0.004328 (0.001940) | 0.098895 / 0.004250 (0.094645) | 0.045407 / 0.037052 (0.008355) | 0.413679 / 0.258489 (0.155189) | 0.437491 / 0.293841 (0.143650) | 0.053207 / 0.128546 (-0.075339) | 0.018471 / 0.075646 (-0.057175) | 0.414800 / 0.419271 (-0.004472) | 0.060864 / 0.043533 (0.017332) | 0.398501 / 0.255139 (0.143362) | 0.421142 / 0.283200 (0.137942) | 0.114908 / 0.141683 (-0.026775) | 1.678630 / 1.452155 (0.226475) | 1.782313 / 1.492716 (0.289596) |

### 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) | 0.280783 / 0.018006 (0.262777) | 0.591573 / 0.000490 (0.591083) | 0.005797 / 0.000200 (0.005597) | 0.000115 / 0.000054 (0.000060) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.030431 / 0.037411 (-0.006981) | 0.117342 / 0.014526 (0.102816) | 0.128456 / 0.176557 (-0.048101) | 0.198782 / 0.737135 (-0.538354) | 0.128501 / 0.296338 (-0.167838) |

### 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) | 0.603073 / 0.215209 (0.387864) | 6.101354 / 2.077655 (4.023699) | 2.527812 / 1.504120 (1.023692) | 2.101468 / 1.541195 (0.560273) | 2.092813 / 1.468490 (0.624323) | 1.182150 / 4.584777 (-3.402627) | 5.389278 / 3.745712 (1.643566) | 5.041001 / 5.269862 (-0.228860) | 2.650581 / 4.565676 (-1.915095) | 0.138761 / 0.424275 (-0.285514) | 0.014209 / 0.007607 (0.006602) | 0.748596 / 0.226044 (0.522552) | 7.373937 / 2.268929 (5.105008) | 3.245882 / 55.444624 (-52.198742) | 2.523569 / 6.876477 (-4.352908) | 2.581343 / 2.142072 (0.439270) | 1.340436 / 4.805227 (-3.464791) | 0.241388 / 6.500664 (-6.259276) | 0.076634 / 0.075469 (0.001164) |

### 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) | 1.480237 / 1.841788 (-0.361551) | 16.781338 / 8.074308 (8.707030) | 19.735028 / 10.191392 (9.543636) | 0.256872 / 0.680424 (-0.423551) | 0.029211 / 0.534201 (-0.504990) | 0.503292 / 0.579283 (-0.075991) | 0.584510 / 0.434364 (0.150146) | 0.580293 / 0.540337 (0.039955) | 0.678863 / 1.386936 (-0.708073) |

</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) | 0.009972 / 0.011353 (-0.001381) | 0.006107 / 0.011008 (-0.004902) | 0.096188 / 0.038508 (0.057680) | 0.033320 / 0.023109 (0.010210) | 0.420789 / 0.275898 (0.144891) | 0.460488 / 0.323480 (0.137008) | 0.006492 / 0.007986 (-0.001493) | 0.005325 / 0.004328 (0.000997) | 0.094974 / 0.004250 (0.090723) | 0.047708 / 0.037052 (0.010655) | 0.426689 / 0.258489 (0.168200) | 0.476440 / 0.293841 (0.182599) | 0.052776 / 0.128546 (-0.075770) | 0.018779 / 0.075646 (-0.056868) | 0.119598 / 0.419271 (-0.299673) | 0.061800 / 0.043533 (0.018267) | 0.421305 / 0.255139 (0.166166) | 0.441125 / 0.283200 (0.157925) | 0.114221 / 0.141683 (-0.027462) | 1.712681 / 1.452155 (0.260526) | 1.852316 / 1.492716 (0.359600) |

### 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) | 0.272412 / 0.018006 (0.254405) | 0.583996 / 0.000490 (0.583506) | 0.000505 / 0.000200 (0.000305) | 0.000077 / 0.000054 (0.000022) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.029553 / 0.037411 (-0.007858) | 0.124921 / 0.014526 (0.110395) | 0.133338 / 0.176557 (-0.043218) | 0.193811 / 0.737135 (-0.543325) | 0.147973 / 0.296338 (-0.148365) |

### 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) | 0.595241 / 0.215209 (0.380032) | 6.012015 / 2.077655 (3.934360) | 2.611295 / 1.504120 (1.107175) | 2.290127 / 1.541195 (0.748932) | 2.300366 / 1.468490 (0.831876) | 1.197602 / 4.584777 (-3.387175) | 5.439064 / 3.745712 (1.693352) | 2.906088 / 5.269862 (-2.363773) | 1.919183 / 4.565676 (-2.646493) | 0.132166 / 0.424275 (-0.292109) | 0.014544 / 0.007607 (0.006937) | 0.726377 / 0.226044 (0.500333) | 7.361023 / 2.268929 (5.092094) | 3.289266 / 55.444624 (-52.155358) | 2.635570 / 6.876477 (-4.240907) | 2.595691 / 2.142072 (0.453619) | 1.329458 / 4.805227 (-3.475769) | 0.239419 / 6.500664 (-6.261245) | 0.076316 / 0.075469 (0.000847) |

### 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) | 1.547616 / 1.841788 (-0.294172) | 17.374315 / 8.074308 (9.300007) | 20.216275 / 10.191392 (10.024883) | 0.252102 / 0.680424 (-0.428322) | 0.027535 / 0.534201 (-0.506665) | 0.524618 / 0.579283 (-0.054666) | 0.596803 / 0.434364 (0.162439) | 0.652632 / 0.540337 (0.112294) | 0.762272 / 1.386936 (-0.624664) |

</details>
</details>

![](https://cml.dev/watermark.png#8c7d4b2f981f8cf639dcbd80f40a41aa5b1693c6 "CML watermark")
 <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) | 0.008236 / 0.011353 (-0.003117) | 0.006186 / 0.011008 (-0.004822) | 0.117852 / 0.038508 (0.079344) | 0.034711 / 0.023109 (0.011602) | 0.447564 / 0.275898 (0.171666) | 0.438727 / 0.323480 (0.115247) | 0.006576 / 0.007986 (-0.001410) | 0.005903 / 0.004328 (0.001574) | 0.094309 / 0.004250 (0.090059) | 0.042760 / 0.037052 (0.005708) | 0.393269 / 0.258489 (0.134780) | 0.438061 / 0.293841 (0.144220) | 0.059029 / 0.128546 (-0.069517) | 0.020296 / 0.075646 (-0.055350) | 0.412057 / 0.419271 (-0.007215) | 0.059808 / 0.043533 (0.016275) | 0.407243 / 0.255139 (0.152104) | 0.414290 / 0.283200 (0.131090) | 0.107701 / 0.141683 (-0.033981) | 1.671522 / 1.452155 (0.219367) | 1.775055 / 1.492716 (0.282338) |

### 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) | 0.275242 / 0.018006 (0.257236) | 0.599698 / 0.000490 (0.599208) | 0.001289 / 0.000200 (0.001089) | 0.000101 / 0.000054 (0.000046) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.029579 / 0.037411 (-0.007832) | 0.127249 / 0.014526 (0.112723) | 0.137431 / 0.176557 (-0.039126) | 0.220330 / 0.737135 (-0.516805) | 0.133540 / 0.296338 (-0.162798) |

### 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) | 0.571989 / 0.215209 (0.356780) | 5.931503 / 2.077655 (3.853848) | 2.526646 / 1.504120 (1.022527) | 2.189476 / 1.541195 (0.648281) | 2.151935 / 1.468490 (0.683444) | 1.242440 / 4.584777 (-3.342337) | 5.599675 / 3.745712 (1.853963) | 3.242035 / 5.269862 (-2.027826) | 2.368361 / 4.565676 (-2.197315) | 0.145659 / 0.424275 (-0.278616) | 0.013813 / 0.007607 (0.006206) | 0.782495 / 0.226044 (0.556451) | 7.861619 / 2.268929 (5.592690) | 3.241001 / 55.444624 (-52.203623) | 2.611025 / 6.876477 (-4.265452) | 2.667263 / 2.142072 (0.525191) | 1.429992 / 4.805227 (-3.375235) | 0.243008 / 6.500664 (-6.257656) | 0.083686 / 0.075469 (0.008217) |

### 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) | 1.565526 / 1.841788 (-0.276262) | 18.260815 / 8.074308 (10.186507) | 22.586133 / 10.191392 (12.394741) | 0.231864 / 0.680424 (-0.448559) | 0.030877 / 0.534201 (-0.503324) | 0.569726 / 0.579283 (-0.009557) | 0.678638 / 0.434364 (0.244274) | 0.611810 / 0.540337 (0.071472) | 0.718771 / 1.386936 (-0.668165) |

</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) | 0.009398 / 0.011353 (-0.001955) | 0.006452 / 0.011008 (-0.004556) | 0.103352 / 0.038508 (0.064844) | 0.034773 / 0.023109 (0.011664) | 0.523782 / 0.275898 (0.247884) | 0.523554 / 0.323480 (0.200074) | 0.006990 / 0.007986 (-0.000996) | 0.004994 / 0.004328 (0.000666) | 0.102199 / 0.004250 (0.097949) | 0.050087 / 0.037052 (0.013035) | 0.496662 / 0.258489 (0.238173) | 0.563130 / 0.293841 (0.269289) | 0.052851 / 0.128546 (-0.075695) | 0.019824 / 0.075646 (-0.055822) | 0.122657 / 0.419271 (-0.296614) | 0.057714 / 0.043533 (0.014181) | 0.470502 / 0.255139 (0.215363) | 0.518908 / 0.283200 (0.235708) | 0.114374 / 0.141683 (-0.027309) | 1.795918 / 1.452155 (0.343763) | 1.957461 / 1.492716 (0.464744) |

### 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) | 0.303921 / 0.018006 (0.285915) | 0.584406 / 0.000490 (0.583916) | 0.000444 / 0.000200 (0.000244) | 0.000096 / 0.000054 (0.000042) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.032254 / 0.037411 (-0.005158) | 0.129966 / 0.014526 (0.115440) | 0.151000 / 0.176557 (-0.025557) | 0.234060 / 0.737135 (-0.503076) | 0.149444 / 0.296338 (-0.146895) |

### 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) | 0.666627 / 0.215209 (0.451418) | 7.054701 / 2.077655 (4.977046) | 2.836895 / 1.504120 (1.332775) | 2.561994 / 1.541195 (1.020799) | 2.672460 / 1.468490 (1.203970) | 1.411929 / 4.584777 (-3.172848) | 6.026918 / 3.745712 (2.281206) | 3.341745 / 5.269862 (-1.928116) | 2.280317 / 4.565676 (-2.285359) | 0.156635 / 0.424275 (-0.267641) | 0.014256 / 0.007607 (0.006649) | 0.804830 / 0.226044 (0.578786) | 8.106960 / 2.268929 (5.838031) | 3.597452 / 55.444624 (-51.847172) | 3.002847 / 6.876477 (-3.873630) | 2.931160 / 2.142072 (0.789088) | 1.484172 / 4.805227 (-3.321056) | 0.254166 / 6.500664 (-6.246498) | 0.080554 / 0.075469 (0.005085) |

### 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) | 1.809909 / 1.841788 (-0.031879) | 18.988994 / 8.074308 (10.914686) | 23.153442 / 10.191392 (12.962050) | 0.250554 / 0.680424 (-0.429870) | 0.048677 / 0.534201 (-0.485524) | 0.574109 / 0.579283 (-0.005174) | 0.640917 / 0.434364 (0.206553) | 0.725215 / 0.540337 (0.184878) | 0.878234 / 1.386936 (-0.508702) |

</details>
</details>

![](https://cml.dev/watermark.png#e3667d6e17d68503469c8e88ec344b7cccfa2346 "CML watermark")
