[docs] Fix link

Fixes link to the builder classes :)


_The documentation is not available anymore as the PR was closed or merged._

<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) | 0.007039 / 0.011353 (-0.004314) | 0.004175 / 0.011008 (-0.006833) | 0.085426 / 0.038508 (0.046918) | 0.079818 / 0.023109 (0.056709) | 0.321924 / 0.275898 (0.046026) | 0.345482 / 0.323480 (0.022002) | 0.005510 / 0.007986 (-0.002475) | 0.003452 / 0.004328 (-0.000877) | 0.065158 / 0.004250 (0.060907) | 0.058843 / 0.037052 (0.021791) | 0.316280 / 0.258489 (0.057791) | 0.351666 / 0.293841 (0.057825) | 0.031190 / 0.128546 (-0.097357) | 0.008500 / 0.075646 (-0.067147) | 0.289595 / 0.419271 (-0.129676) | 0.053798 / 0.043533 (0.010265) | 0.315804 / 0.255139 (0.060665) | 0.334957 / 0.283200 (0.051757) | 0.024350 / 0.141683 (-0.117332) | 1.515753 / 1.452155 (0.063599) | 1.556215 / 1.492716 (0.063499) |

### 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) | 0.210378 / 0.018006 (0.192372) | 0.469309 / 0.000490 (0.468820) | 0.002890 / 0.000200 (0.002690) | 0.000086 / 0.000054 (0.000031) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.030214 / 0.037411 (-0.007197) | 0.088492 / 0.014526 (0.073966) | 0.098684 / 0.176557 (-0.077873) | 0.156077 / 0.737135 (-0.581058) | 0.098814 / 0.296338 (-0.197525) |

### 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) | 0.404548 / 0.215209 (0.189339) | 4.026173 / 2.077655 (1.948518) | 2.043216 / 1.504120 (0.539096) | 1.880997 / 1.541195 (0.339802) | 1.975205 / 1.468490 (0.506715) | 0.489395 / 4.584777 (-4.095382) | 3.684097 / 3.745712 (-0.061615) | 5.126934 / 5.269862 (-0.142928) | 3.092153 / 4.565676 (-1.473524) | 0.057668 / 0.424275 (-0.366607) | 0.007372 / 0.007607 (-0.000235) | 0.479647 / 0.226044 (0.253603) | 4.780207 / 2.268929 (2.511278) | 2.533457 / 55.444624 (-52.911168) | 2.182126 / 6.876477 (-4.694351) | 2.431834 / 2.142072 (0.289761) | 0.591760 / 4.805227 (-4.213467) | 0.135450 / 6.500664 (-6.365214) | 0.063218 / 0.075469 (-0.012251) |

### 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) | 1.262053 / 1.841788 (-0.579734) | 20.246992 / 8.074308 (12.172684) | 14.638222 / 10.191392 (4.446830) | 0.150021 / 0.680424 (-0.530403) | 0.018680 / 0.534201 (-0.515521) | 0.395215 / 0.579283 (-0.184068) | 0.421270 / 0.434364 (-0.013094) | 0.458845 / 0.540337 (-0.081492) | 0.634488 / 1.386936 (-0.752448) |

</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) | 0.007080 / 0.011353 (-0.004273) | 0.004112 / 0.011008 (-0.006896) | 0.066426 / 0.038508 (0.027918) | 0.090088 / 0.023109 (0.066978) | 0.400191 / 0.275898 (0.124293) | 0.429614 / 0.323480 (0.106134) | 0.005428 / 0.007986 (-0.002558) | 0.003501 / 0.004328 (-0.000827) | 0.065056 / 0.004250 (0.060806) | 0.061643 / 0.037052 (0.024590) | 0.398619 / 0.258489 (0.140130) | 0.445497 / 0.293841 (0.151657) | 0.031703 / 0.128546 (-0.096843) | 0.008708 / 0.075646 (-0.066938) | 0.071561 / 0.419271 (-0.347711) | 0.050684 / 0.043533 (0.007151) | 0.385361 / 0.255139 (0.130222) | 0.409349 / 0.283200 (0.126149) | 0.027388 / 0.141683 (-0.114295) | 1.473021 / 1.452155 (0.020866) | 1.525246 / 1.492716 (0.032529) |

### 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) | 0.237710 / 0.018006 (0.219704) | 0.468719 / 0.000490 (0.468230) | 0.000385 / 0.000200 (0.000185) | 0.000054 / 0.000054 (-0.000000) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.032539 / 0.037411 (-0.004872) | 0.095324 / 0.014526 (0.080798) | 0.102248 / 0.176557 (-0.074308) | 0.156096 / 0.737135 (-0.581039) | 0.103458 / 0.296338 (-0.192881) |

### 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) | 0.416226 / 0.215209 (0.201017) | 4.141044 / 2.077655 (2.063389) | 2.143732 / 1.504120 (0.639612) | 2.001020 / 1.541195 (0.459825) | 2.091194 / 1.468490 (0.622704) | 0.489977 / 4.584777 (-4.094800) | 3.579615 / 3.745712 (-0.166097) | 3.438082 / 5.269862 (-1.831780) | 2.069031 / 4.565676 (-2.496645) | 0.056994 / 0.424275 (-0.367281) | 0.007362 / 0.007607 (-0.000245) | 0.493077 / 0.226044 (0.267033) | 4.922622 / 2.268929 (2.653694) | 2.627083 / 55.444624 (-52.817541) | 2.301141 / 6.876477 (-4.575336) | 2.356794 / 2.142072 (0.214722) | 0.583792 / 4.805227 (-4.221436) | 0.133707 / 6.500664 (-6.366958) | 0.062892 / 0.075469 (-0.012577) |

### 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) | 1.364908 / 1.841788 (-0.476880) | 20.641219 / 8.074308 (12.566911) | 14.848528 / 10.191392 (4.657136) | 0.174207 / 0.680424 (-0.506217) | 0.018206 / 0.534201 (-0.515995) | 0.413742 / 0.579283 (-0.165541) | 0.419940 / 0.434364 (-0.014424) | 0.458543 / 0.540337 (-0.081794) | 0.616518 / 1.386936 (-0.770418) |

</details>
</details>

![](https://cml.dev/watermark.png#18b2202c3e7cdde05920078f01864964556427da "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) | 0.006875 / 0.011353 (-0.004478) | 0.003489 / 0.011008 (-0.007519) | 0.082077 / 0.038508 (0.043569) | 0.103011 / 0.023109 (0.079902) | 0.370572 / 0.275898 (0.094674) | 0.416400 / 0.323480 (0.092920) | 0.004048 / 0.007986 (-0.003938) | 0.003563 / 0.004328 (-0.000765) | 0.062666 / 0.004250 (0.058416) | 0.063664 / 0.037052 (0.026612) | 0.374206 / 0.258489 (0.115717) | 0.425590 / 0.293841 (0.131749) | 0.028174 / 0.128546 (-0.100373) | 0.007906 / 0.075646 (-0.067741) | 0.266251 / 0.419271 (-0.153020) | 0.045923 / 0.043533 (0.002390) | 0.376746 / 0.255139 (0.121607) | 0.401950 / 0.283200 (0.118750) | 0.024628 / 0.141683 (-0.117054) | 1.441903 / 1.452155 (-0.010252) | 1.537494 / 1.492716 (0.044777) |

### 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) | 0.214696 / 0.018006 (0.196690) | 0.425626 / 0.000490 (0.425137) | 0.003370 / 0.000200 (0.003170) | 0.000071 / 0.000054 (0.000017) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.023133 / 0.037411 (-0.014279) | 0.072374 / 0.014526 (0.057848) | 0.081255 / 0.176557 (-0.095301) | 0.146960 / 0.737135 (-0.590175) | 0.081748 / 0.296338 (-0.214590) |

### 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) | 0.390683 / 0.215209 (0.175473) | 3.893166 / 2.077655 (1.815511) | 1.884321 / 1.504120 (0.380201) | 1.701899 / 1.541195 (0.160704) | 1.737839 / 1.468490 (0.269349) | 0.497008 / 4.584777 (-4.087769) | 3.041211 / 3.745712 (-0.704501) | 3.519947 / 5.269862 (-1.749915) | 2.015085 / 4.565676 (-2.550592) | 0.057685 / 0.424275 (-0.366590) | 0.006415 / 0.007607 (-0.001192) | 0.465565 / 0.226044 (0.239520) | 4.635224 / 2.268929 (2.366295) | 2.297941 / 55.444624 (-53.146683) | 1.946670 / 6.876477 (-4.929807) | 2.078527 / 2.142072 (-0.063546) | 0.584101 / 4.805227 (-4.221126) | 0.126488 / 6.500664 (-6.374176) | 0.060819 / 0.075469 (-0.014650) |

### 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) | 1.223400 / 1.841788 (-0.618388) | 17.960923 / 8.074308 (9.886615) | 13.187683 / 10.191392 (2.996291) | 0.129258 / 0.680424 (-0.551166) | 0.016601 / 0.534201 (-0.517600) | 0.330028 / 0.579283 (-0.249255) | 0.353861 / 0.434364 (-0.080503) | 0.376022 / 0.540337 (-0.164315) | 0.518145 / 1.386936 (-0.868791) |

</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) | 0.006015 / 0.011353 (-0.005338) | 0.003605 / 0.011008 (-0.007403) | 0.062169 / 0.038508 (0.023661) | 0.056094 / 0.023109 (0.032985) | 0.353085 / 0.275898 (0.077187) | 0.393744 / 0.323480 (0.070265) | 0.004672 / 0.007986 (-0.003313) | 0.002859 / 0.004328 (-0.001469) | 0.062992 / 0.004250 (0.058742) | 0.049767 / 0.037052 (0.012714) | 0.356850 / 0.258489 (0.098361) | 0.403731 / 0.293841 (0.109890) | 0.026664 / 0.128546 (-0.101882) | 0.008026 / 0.075646 (-0.067621) | 0.067944 / 0.419271 (-0.351327) | 0.042133 / 0.043533 (-0.001400) | 0.353865 / 0.255139 (0.098726) | 0.383461 / 0.283200 (0.100261) | 0.021250 / 0.141683 (-0.120433) | 1.428102 / 1.452155 (-0.024053) | 1.481061 / 1.492716 (-0.011655) |

### 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) | 0.223552 / 0.018006 (0.205546) | 0.402390 / 0.000490 (0.401900) | 0.000721 / 0.000200 (0.000521) | 0.000059 / 0.000054 (0.000005) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.025065 / 0.037411 (-0.012347) | 0.075537 / 0.014526 (0.061011) | 0.083519 / 0.176557 (-0.093037) | 0.137068 / 0.737135 (-0.600068) | 0.084165 / 0.296338 (-0.212173) |

### 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) | 0.420176 / 0.215209 (0.204967) | 4.206226 / 2.077655 (2.128571) | 2.168089 / 1.504120 (0.663969) | 1.987299 / 1.541195 (0.446104) | 2.029489 / 1.468490 (0.560999) | 0.495822 / 4.584777 (-4.088955) | 3.106580 / 3.745712 (-0.639132) | 3.833215 / 5.269862 (-1.436647) | 2.450450 / 4.565676 (-2.115226) | 0.056979 / 0.424275 (-0.367296) | 0.006514 / 0.007607 (-0.001093) | 0.503646 / 0.226044 (0.277601) | 5.035035 / 2.268929 (2.766106) | 2.608245 / 55.444624 (-52.836379) | 2.245492 / 6.876477 (-4.630985) | 2.262868 / 2.142072 (0.120795) | 0.590736 / 4.805227 (-4.214491) | 0.124637 / 6.500664 (-6.376027) | 0.061442 / 0.075469 (-0.014027) |

### 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) | 1.316736 / 1.841788 (-0.525052) | 17.948635 / 8.074308 (9.874327) | 13.752442 / 10.191392 (3.561050) | 0.144107 / 0.680424 (-0.536317) | 0.017112 / 0.534201 (-0.517089) | 0.336537 / 0.579283 (-0.242746) | 0.347832 / 0.434364 (-0.086532) | 0.392944 / 0.540337 (-0.147393) | 0.534455 / 1.386936 (-0.852481) |

</details>
</details>

![](https://cml.dev/watermark.png#406b2212263c0d33f267e35b917f410ff6b3bc00 "CML watermark")