Title: Fix metrics dead link
Author: qgallouedec (MEMBER)
State: closed
Created: 2023-12-12T12:51:49Z


Comments:
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6491). 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) | 0.005193 / 0.011353 (-0.006160) | 0.003246 / 0.011008 (-0.007762) | 0.063053 / 0.038508 (0.024545) | 0.049636 / 0.023109 (0.026527) | 0.240990 / 0.275898 (-0.034908) | 0.263732 / 0.323480 (-0.059747) | 0.004062 / 0.007986 (-0.003923) | 0.002681 / 0.004328 (-0.001648) | 0.048527 / 0.004250 (0.044277) | 0.044159 / 0.037052 (0.007107) | 0.248031 / 0.258489 (-0.010458) | 0.275705 / 0.293841 (-0.018136) | 0.028210 / 0.128546 (-0.100336) | 0.010314 / 0.075646 (-0.065332) | 0.209887 / 0.419271 (-0.209384) | 0.035649 / 0.043533 (-0.007884) | 0.251321 / 0.255139 (-0.003818) | 0.266672 / 0.283200 (-0.016528) | 0.017382 / 0.141683 (-0.124301) | 1.088937 / 1.452155 (-0.363217) | 1.143692 / 1.492716 (-0.349024) |

### 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) | 0.092558 / 0.018006 (0.074552) | 0.301648 / 0.000490 (0.301159) | 0.000208 / 0.000200 (0.000008) | 0.000043 / 0.000054 (-0.000012) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.018305 / 0.037411 (-0.019106) | 0.059836 / 0.014526 (0.045310) | 0.072926 / 0.176557 (-0.103631) | 0.119826 / 0.737135 (-0.617309) | 0.074357 / 0.296338 (-0.221982) |

### 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) | 0.279051 / 0.215209 (0.063842) | 2.711402 / 2.077655 (0.633747) | 1.431782 / 1.504120 (-0.072338) | 1.316592 / 1.541195 (-0.224603) | 1.352062 / 1.468490 (-0.116428) | 0.562553 / 4.584777 (-4.022224) | 2.387719 / 3.745712 (-1.357993) | 2.693330 / 5.269862 (-2.576532) | 1.682040 / 4.565676 (-2.883636) | 0.061832 / 0.424275 (-0.362443) | 0.005066 / 0.007607 (-0.002541) | 0.332730 / 0.226044 (0.106685) | 3.315503 / 2.268929 (1.046575) | 1.787129 / 55.444624 (-53.657496) | 1.508955 / 6.876477 (-5.367522) | 1.512620 / 2.142072 (-0.629453) | 0.637120 / 4.805227 (-4.168107) | 0.116005 / 6.500664 (-6.384660) | 0.041973 / 0.075469 (-0.033496) |

### 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) | 0.936996 / 1.841788 (-0.904792) | 11.485975 / 8.074308 (3.411667) | 10.604481 / 10.191392 (0.413089) | 0.130803 / 0.680424 (-0.549621) | 0.014561 / 0.534201 (-0.519640) | 0.285905 / 0.579283 (-0.293378) | 0.271573 / 0.434364 (-0.162791) | 0.329206 / 0.540337 (-0.211132) | 0.411977 / 1.386936 (-0.974959) |

</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) | 0.005333 / 0.011353 (-0.006020) | 0.003519 / 0.011008 (-0.007489) | 0.050880 / 0.038508 (0.012372) | 0.053681 / 0.023109 (0.030571) | 0.269359 / 0.275898 (-0.006539) | 0.291498 / 0.323480 (-0.031982) | 0.004006 / 0.007986 (-0.003979) | 0.002676 / 0.004328 (-0.001653) | 0.049652 / 0.004250 (0.045401) | 0.040588 / 0.037052 (0.003536) | 0.271701 / 0.258489 (0.013212) | 0.308384 / 0.293841 (0.014543) | 0.028713 / 0.128546 (-0.099833) | 0.010423 / 0.075646 (-0.065223) | 0.058099 / 0.419271 (-0.361172) | 0.032372 / 0.043533 (-0.011161) | 0.269395 / 0.255139 (0.014256) | 0.292252 / 0.283200 (0.009052) | 0.020038 / 0.141683 (-0.121645) | 1.124761 / 1.452155 (-0.327393) | 1.177609 / 1.492716 (-0.315107) |

### 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) | 0.092187 / 0.018006 (0.074181) | 0.301936 / 0.000490 (0.301446) | 0.000230 / 0.000200 (0.000030) | 0.000052 / 0.000054 (-0.000002) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.022932 / 0.037411 (-0.014480) | 0.076552 / 0.014526 (0.062027) | 0.088729 / 0.176557 (-0.087827) | 0.127198 / 0.737135 (-0.609937) | 0.091902 / 0.296338 (-0.204436) |

### 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) | 0.299964 / 0.215209 (0.084755) | 2.929352 / 2.077655 (0.851697) | 1.598715 / 1.504120 (0.094595) | 1.462438 / 1.541195 (-0.078756) | 1.474308 / 1.468490 (0.005818) | 0.567120 / 4.584777 (-4.017657) | 2.481757 / 3.745712 (-1.263955) | 2.795375 / 5.269862 (-2.474487) | 1.740346 / 4.565676 (-2.825331) | 0.064048 / 0.424275 (-0.360227) | 0.004995 / 0.007607 (-0.002612) | 0.349084 / 0.226044 (0.123040) | 3.417679 / 2.268929 (1.148750) | 1.910615 / 55.444624 (-53.534009) | 1.694120 / 6.876477 (-5.182356) | 1.658654 / 2.142072 (-0.483419) | 0.638158 / 4.805227 (-4.167069) | 0.115509 / 6.500664 (-6.385156) | 0.040650 / 0.075469 (-0.034819) |

### 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) | 0.988081 / 1.841788 (-0.853707) | 12.210089 / 8.074308 (4.135781) | 11.090203 / 10.191392 (0.898811) | 0.131861 / 0.680424 (-0.548563) | 0.015461 / 0.534201 (-0.518740) | 0.287737 / 0.579283 (-0.291546) | 0.284170 / 0.434364 (-0.150194) | 0.324949 / 0.540337 (-0.215388) | 0.414912 / 1.386936 (-0.972024) |

</details>
</details>

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