Issue: Fix link in docs
State: closed
Author: bbbxyz

Fixes a broken link in the use_with_pytorch docs

Comments:
_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) | 0.006461 / 0.011353 (-0.004892) | 0.004671 / 0.011008 (-0.006337) | 0.097329 / 0.038508 (0.058821) | 0.028380 / 0.023109 (0.005270) | 0.369892 / 0.275898 (0.093994) | 0.398244 / 0.323480 (0.074764) | 0.004795 / 0.007986 (-0.003190) | 0.004866 / 0.004328 (0.000538) | 0.075060 / 0.004250 (0.070809) | 0.035678 / 0.037052 (-0.001374) | 0.372197 / 0.258489 (0.113708) | 0.407509 / 0.293841 (0.113668) | 0.031557 / 0.128546 (-0.096989) | 0.011608 / 0.075646 (-0.064038) | 0.325467 / 0.419271 (-0.093805) | 0.042590 / 0.043533 (-0.000943) | 0.373738 / 0.255139 (0.118599) | 0.395793 / 0.283200 (0.112593) | 0.082335 / 0.141683 (-0.059348) | 1.471582 / 1.452155 (0.019427) | 1.535834 / 1.492716 (0.043117) |

### 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) | 0.192432 / 0.018006 (0.174426) | 0.404423 / 0.000490 (0.403933) | 0.003252 / 0.000200 (0.003052) | 0.000073 / 0.000054 (0.000018) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.025312 / 0.037411 (-0.012099) | 0.099964 / 0.014526 (0.085438) | 0.108779 / 0.176557 (-0.067777) | 0.170438 / 0.737135 (-0.566697) | 0.110116 / 0.296338 (-0.186223) |

### 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) | 0.420402 / 0.215209 (0.205193) | 4.179142 / 2.077655 (2.101487) | 1.858114 / 1.504120 (0.353994) | 1.674452 / 1.541195 (0.133257) | 1.697839 / 1.468490 (0.229349) | 0.694707 / 4.584777 (-3.890070) | 3.394321 / 3.745712 (-0.351391) | 1.918437 / 5.269862 (-3.351425) | 1.277954 / 4.565676 (-3.287723) | 0.082357 / 0.424275 (-0.341918) | 0.012206 / 0.007607 (0.004598) | 0.522093 / 0.226044 (0.296049) | 5.239604 / 2.268929 (2.970675) | 2.347764 / 55.444624 (-53.096860) | 1.996864 / 6.876477 (-4.879613) | 2.050820 / 2.142072 (-0.091253) | 0.806110 / 4.805227 (-3.999118) | 0.151061 / 6.500664 (-6.349603) | 0.066438 / 0.075469 (-0.009031) |

### 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) | 1.211233 / 1.841788 (-0.630554) | 14.054422 / 8.074308 (5.980114) | 14.110141 / 10.191392 (3.918749) | 0.129962 / 0.680424 (-0.550462) | 0.017271 / 0.534201 (-0.516930) | 0.386410 / 0.579283 (-0.192873) | 0.392648 / 0.434364 (-0.041716) | 0.444940 / 0.540337 (-0.095398) | 0.533535 / 1.386936 (-0.853401) |

</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) | 0.006865 / 0.011353 (-0.004488) | 0.004662 / 0.011008 (-0.006346) | 0.077837 / 0.038508 (0.039329) | 0.028258 / 0.023109 (0.005149) | 0.346136 / 0.275898 (0.070238) | 0.380414 / 0.323480 (0.056934) | 0.005039 / 0.007986 (-0.002947) | 0.004967 / 0.004328 (0.000638) | 0.077774 / 0.004250 (0.073523) | 0.037504 / 0.037052 (0.000452) | 0.341550 / 0.258489 (0.083061) | 0.382494 / 0.293841 (0.088653) | 0.031881 / 0.128546 (-0.096665) | 0.011746 / 0.075646 (-0.063901) | 0.087087 / 0.419271 (-0.332185) | 0.043108 / 0.043533 (-0.000425) | 0.344103 / 0.255139 (0.088964) | 0.366613 / 0.283200 (0.083413) | 0.090399 / 0.141683 (-0.051284) | 1.492675 / 1.452155 (0.040520) | 1.588666 / 1.492716 (0.095950) |

### 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) | 0.191859 / 0.018006 (0.173853) | 0.412514 / 0.000490 (0.412025) | 0.001953 / 0.000200 (0.001753) | 0.000084 / 0.000054 (0.000030) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.025159 / 0.037411 (-0.012252) | 0.100125 / 0.014526 (0.085599) | 0.106000 / 0.176557 (-0.070556) | 0.160710 / 0.737135 (-0.576425) | 0.110449 / 0.296338 (-0.185889) |

### 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) | 0.436636 / 0.215209 (0.221427) | 4.364597 / 2.077655 (2.286942) | 2.077492 / 1.504120 (0.573372) | 1.868248 / 1.541195 (0.327053) | 1.911218 / 1.468490 (0.442728) | 0.700306 / 4.584777 (-3.884471) | 3.385428 / 3.745712 (-0.360284) | 2.965384 / 5.269862 (-2.304478) | 1.522093 / 4.565676 (-3.043583) | 0.082805 / 0.424275 (-0.341470) | 0.012432 / 0.007607 (0.004825) | 0.538478 / 0.226044 (0.312433) | 5.383207 / 2.268929 (3.114278) | 2.525177 / 55.444624 (-52.919447) | 2.179632 / 6.876477 (-4.696845) | 2.280768 / 2.142072 (0.138695) | 0.805869 / 4.805227 (-3.999358) | 0.152716 / 6.500664 (-6.347948) | 0.067848 / 0.075469 (-0.007621) |

### 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) | 1.318899 / 1.841788 (-0.522889) | 14.416310 / 8.074308 (6.342002) | 14.172804 / 10.191392 (3.981412) | 0.141729 / 0.680424 (-0.538695) | 0.016785 / 0.534201 (-0.517416) | 0.378626 / 0.579283 (-0.200657) | 0.387153 / 0.434364 (-0.047211) | 0.439950 / 0.540337 (-0.100388) | 0.523958 / 1.386936 (-0.862978) |

</details>
</details>

![](https://cml.dev/watermark.png#7c3a9b057c476c40d157bd7a5d57f49066239df0 "CML watermark")