Issue: Flatten repository_structure docs on yaml
State: closed
Author: lhoestq

To have Splits, Configurations and Builder parameters at the same doc level

Comments:
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6041). 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) | 0.007587 / 0.011353 (-0.003766) | 0.004469 / 0.011008 (-0.006540) | 0.098028 / 0.038508 (0.059520) | 0.086378 / 0.023109 (0.063269) | 0.412290 / 0.275898 (0.136392) | 0.449912 / 0.323480 (0.126432) | 0.004769 / 0.007986 (-0.003217) | 0.003708 / 0.004328 (-0.000621) | 0.075541 / 0.004250 (0.071290) | 0.063821 / 0.037052 (0.026768) | 0.417213 / 0.258489 (0.158724) | 0.471954 / 0.293841 (0.178113) | 0.036243 / 0.128546 (-0.092303) | 0.009540 / 0.075646 (-0.066106) | 0.339043 / 0.419271 (-0.080228) | 0.061853 / 0.043533 (0.018320) | 0.418510 / 0.255139 (0.163371) | 0.462372 / 0.283200 (0.179173) | 0.027328 / 0.141683 (-0.114355) | 1.745114 / 1.452155 (0.292959) | 1.879839 / 1.492716 (0.387123) |

### 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) | 0.211042 / 0.018006 (0.193035) | 0.512865 / 0.000490 (0.512375) | 0.008744 / 0.000200 (0.008544) | 0.000121 / 0.000054 (0.000066) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.032493 / 0.037411 (-0.004918) | 0.096472 / 0.014526 (0.081946) | 0.110340 / 0.176557 (-0.066216) | 0.183195 / 0.737135 (-0.553940) | 0.112829 / 0.296338 (-0.183510) |

### 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) | 0.478040 / 0.215209 (0.262830) | 4.743776 / 2.077655 (2.666121) | 2.389770 / 1.504120 (0.885650) | 2.168468 / 1.541195 (0.627274) | 2.238154 / 1.468490 (0.769663) | 0.572308 / 4.584777 (-4.012469) | 4.154783 / 3.745712 (0.409071) | 3.771509 / 5.269862 (-1.498353) | 2.384828 / 4.565676 (-2.180848) | 0.068122 / 0.424275 (-0.356153) | 0.008573 / 0.007607 (0.000965) | 0.560300 / 0.226044 (0.334256) | 5.591163 / 2.268929 (3.322235) | 2.929660 / 55.444624 (-52.514965) | 2.517721 / 6.876477 (-4.358756) | 2.762285 / 2.142072 (0.620213) | 0.687193 / 4.805227 (-4.118034) | 0.157839 / 6.500664 (-6.342825) | 0.071862 / 0.075469 (-0.003607) |

### 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) | 1.484788 / 1.841788 (-0.357000) | 21.696071 / 8.074308 (13.621763) | 15.476166 / 10.191392 (5.284774) | 0.185034 / 0.680424 (-0.495390) | 0.021181 / 0.534201 (-0.513020) | 0.463324 / 0.579283 (-0.115959) | 0.502455 / 0.434364 (0.068091) | 0.559880 / 0.540337 (0.019543) | 0.767281 / 1.386936 (-0.619655) |

</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) | 0.007572 / 0.011353 (-0.003781) | 0.004331 / 0.011008 (-0.006677) | 0.075023 / 0.038508 (0.036515) | 0.085474 / 0.023109 (0.062365) | 0.464900 / 0.275898 (0.189002) | 0.503348 / 0.323480 (0.179868) | 0.006885 / 0.007986 (-0.001101) | 0.003647 / 0.004328 (-0.000681) | 0.074874 / 0.004250 (0.070623) | 0.071076 / 0.037052 (0.034024) | 0.465495 / 0.258489 (0.207006) | 0.506418 / 0.293841 (0.212577) | 0.038900 / 0.128546 (-0.089647) | 0.009467 / 0.075646 (-0.066180) | 0.082547 / 0.419271 (-0.336724) | 0.058457 / 0.043533 (0.014924) | 0.459114 / 0.255139 (0.203975) | 0.484872 / 0.283200 (0.201673) | 0.027443 / 0.141683 (-0.114240) | 1.713996 / 1.452155 (0.261841) | 1.893639 / 1.492716 (0.400922) |

### 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) | 0.248693 / 0.018006 (0.230687) | 0.488805 / 0.000490 (0.488315) | 0.000421 / 0.000200 (0.000221) | 0.000067 / 0.000054 (0.000012) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.034886 / 0.037411 (-0.002525) | 0.103215 / 0.014526 (0.088689) | 0.116422 / 0.176557 (-0.060134) | 0.182789 / 0.737135 (-0.554346) | 0.117788 / 0.296338 (-0.178550) |

### 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) | 0.482782 / 0.215209 (0.267573) | 4.802895 / 2.077655 (2.725241) | 2.489823 / 1.504120 (0.985703) | 2.324005 / 1.541195 (0.782810) | 2.457674 / 1.468490 (0.989184) | 0.566980 / 4.584777 (-4.017797) | 4.117359 / 3.745712 (0.371647) | 3.841180 / 5.269862 (-1.428681) | 2.322410 / 4.565676 (-2.243266) | 0.066367 / 0.424275 (-0.357908) | 0.008501 / 0.007607 (0.000894) | 0.561453 / 0.226044 (0.335408) | 5.694861 / 2.268929 (3.425932) | 3.129829 / 55.444624 (-52.314796) | 2.647375 / 6.876477 (-4.229102) | 2.673071 / 2.142072 (0.530998) | 0.676120 / 4.805227 (-4.129108) | 0.153483 / 6.500664 (-6.347181) | 0.070797 / 0.075469 (-0.004672) |

### 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) | 1.575697 / 1.841788 (-0.266091) | 22.447462 / 8.074308 (14.373154) | 15.964906 / 10.191392 (5.773514) | 0.218343 / 0.680424 (-0.462081) | 0.021051 / 0.534201 (-0.513150) | 0.466079 / 0.579283 (-0.113204) | 0.493190 / 0.434364 (0.058826) | 0.565929 / 0.540337 (0.025592) | 0.768638 / 1.386936 (-0.618298) |

</details>
</details>

![](https://cml.dev/watermark.png#104bafffef7ddc775ec2d0b10b2b262466041eb7 "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) | 0.006268 / 0.011353 (-0.005085) | 0.003715 / 0.011008 (-0.007293) | 0.080628 / 0.038508 (0.042120) | 0.070294 / 0.023109 (0.047185) | 0.404749 / 0.275898 (0.128851) | 0.434130 / 0.323480 (0.110650) | 0.005533 / 0.007986 (-0.002452) | 0.002980 / 0.004328 (-0.001349) | 0.063016 / 0.004250 (0.058766) | 0.051667 / 0.037052 (0.014615) | 0.403859 / 0.258489 (0.145370) | 0.437913 / 0.293841 (0.144073) | 0.027518 / 0.128546 (-0.101029) | 0.007991 / 0.075646 (-0.067655) | 0.260723 / 0.419271 (-0.158548) | 0.046580 / 0.043533 (0.003047) | 0.405453 / 0.255139 (0.150314) | 0.428390 / 0.283200 (0.145190) | 0.022774 / 0.141683 (-0.118909) | 1.488204 / 1.452155 (0.036049) | 1.536557 / 1.492716 (0.043841) |

### 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) | 0.185864 / 0.018006 (0.167858) | 0.431388 / 0.000490 (0.430898) | 0.003743 / 0.000200 (0.003543) | 0.000065 / 0.000054 (0.000011) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.024062 / 0.037411 (-0.013350) | 0.075749 / 0.014526 (0.061224) | 0.083519 / 0.176557 (-0.093037) | 0.147965 / 0.737135 (-0.589170) | 0.085635 / 0.296338 (-0.210703) |

### 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) | 0.400455 / 0.215209 (0.185246) | 4.084294 / 2.077655 (2.006640) | 1.928795 / 1.504120 (0.424675) | 1.743205 / 1.541195 (0.202010) | 1.811233 / 1.468490 (0.342743) | 0.504976 / 4.584777 (-4.079801) | 3.073134 / 3.745712 (-0.672578) | 2.816357 / 5.269862 (-2.453505) | 1.857462 / 4.565676 (-2.708214) | 0.058329 / 0.424275 (-0.365946) | 0.006850 / 0.007607 (-0.000757) | 0.466017 / 0.226044 (0.239973) | 4.660158 / 2.268929 (2.391230) | 2.396614 / 55.444624 (-53.048010) | 2.007491 / 6.876477 (-4.868986) | 2.206997 / 2.142072 (0.064925) | 0.592233 / 4.805227 (-4.212994) | 0.125364 / 6.500664 (-6.375300) | 0.061166 / 0.075469 (-0.014303) |

### 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) | 1.290148 / 1.841788 (-0.551640) | 18.317462 / 8.074308 (10.243154) | 13.465142 / 10.191392 (3.273750) | 0.149696 / 0.680424 (-0.530728) | 0.017120 / 0.534201 (-0.517081) | 0.334818 / 0.579283 (-0.244465) | 0.363976 / 0.434364 (-0.070388) | 0.388271 / 0.540337 (-0.152066) | 0.542383 / 1.386936 (-0.844553) |

</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) | 0.006029 / 0.011353 (-0.005324) | 0.003656 / 0.011008 (-0.007352) | 0.063518 / 0.038508 (0.025010) | 0.058214 / 0.023109 (0.035105) | 0.435987 / 0.275898 (0.160089) | 0.442769 / 0.323480 (0.119289) | 0.004675 / 0.007986 (-0.003310) | 0.002911 / 0.004328 (-0.001418) | 0.063020 / 0.004250 (0.058769) | 0.049422 / 0.037052 (0.012369) | 0.435521 / 0.258489 (0.177032) | 0.478251 / 0.293841 (0.184411) | 0.027294 / 0.128546 (-0.101252) | 0.008073 / 0.075646 (-0.067574) | 0.068397 / 0.419271 (-0.350875) | 0.044796 / 0.043533 (0.001263) | 0.416646 / 0.255139 (0.161507) | 0.435021 / 0.283200 (0.151821) | 0.024686 / 0.141683 (-0.116997) | 1.495650 / 1.452155 (0.043496) | 1.495846 / 1.492716 (0.003130) |

### 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) | 0.211205 / 0.018006 (0.193199) | 0.414497 / 0.000490 (0.414007) | 0.001704 / 0.000200 (0.001504) | 0.000073 / 0.000054 (0.000019) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.025237 / 0.037411 (-0.012174) | 0.077291 / 0.014526 (0.062765) | 0.085736 / 0.176557 (-0.090821) | 0.141059 / 0.737135 (-0.596076) | 0.087620 / 0.296338 (-0.208719) |

### 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) | 0.421995 / 0.215209 (0.206786) | 4.158503 / 2.077655 (2.080849) | 2.313598 / 1.504120 (0.809479) | 2.183553 / 1.541195 (0.642359) | 2.279656 / 1.468490 (0.811166) | 0.500146 / 4.584777 (-4.084631) | 3.092654 / 3.745712 (-0.653059) | 4.371616 / 5.269862 (-0.898245) | 2.605096 / 4.565676 (-1.960581) | 0.057658 / 0.424275 (-0.366617) | 0.006574 / 0.007607 (-0.001033) | 0.491455 / 0.226044 (0.265411) | 4.926730 / 2.268929 (2.657801) | 2.635749 / 55.444624 (-52.808875) | 2.255780 / 6.876477 (-4.620697) | 2.305547 / 2.142072 (0.163474) | 0.589027 / 4.805227 (-4.216200) | 0.126229 / 6.500664 (-6.374435) | 0.063268 / 0.075469 (-0.012201) |

### 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) | 1.299102 / 1.841788 (-0.542686) | 18.547417 / 8.074308 (10.473109) | 13.860030 / 10.191392 (3.668638) | 0.145482 / 0.680424 (-0.534942) | 0.016543 / 0.534201 (-0.517658) | 0.330788 / 0.579283 (-0.248496) | 0.362020 / 0.434364 (-0.072344) | 0.380635 / 0.540337 (-0.159703) | 0.517375 / 1.386936 (-0.869561) |

</details>
</details>

![](https://cml.dev/watermark.png#bf602e0193baca21e283babbac9622ae36d1e6b6 "CML watermark")