Issue: Remove metrics
State: closed
Author: albertvillanova

Remove all metrics, as part of the 3.0 release.

Note they are deprecated since 2.5.0 version.

Comments:
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6983). 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) | 0.005566 / 0.011353 (-0.005787) | 0.003977 / 0.011008 (-0.007031) | 0.063250 / 0.038508 (0.024742) | 0.030907 / 0.023109 (0.007798) | 0.244989 / 0.275898 (-0.030909) | 0.272139 / 0.323480 (-0.051341) | 0.004332 / 0.007986 (-0.003653) | 0.002960 / 0.004328 (-0.001368) | 0.050147 / 0.004250 (0.045896) | 0.044740 / 0.037052 (0.007688) | 0.256947 / 0.258489 (-0.001542) | 0.290372 / 0.293841 (-0.003469) | 0.030444 / 0.128546 (-0.098102) | 0.012675 / 0.075646 (-0.062971) | 0.203852 / 0.419271 (-0.215420) | 0.036977 / 0.043533 (-0.006556) | 0.244401 / 0.255139 (-0.010738) | 0.270020 / 0.283200 (-0.013179) | 0.018177 / 0.141683 (-0.123506) | 1.122189 / 1.452155 (-0.329966) | 1.176688 / 1.492716 (-0.316028) |

### 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) | 0.100721 / 0.018006 (0.082715) | 0.311824 / 0.000490 (0.311335) | 0.000222 / 0.000200 (0.000022) | 0.000043 / 0.000054 (-0.000012) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.020039 / 0.037411 (-0.017373) | 0.062084 / 0.014526 (0.047558) | 0.074317 / 0.176557 (-0.102240) | 0.123935 / 0.737135 (-0.613200) | 0.076186 / 0.296338 (-0.220153) |

### 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) | 0.284827 / 0.215209 (0.069618) | 2.782727 / 2.077655 (0.705072) | 1.417624 / 1.504120 (-0.086496) | 1.294476 / 1.541195 (-0.246718) | 1.332658 / 1.468490 (-0.135832) | 0.724820 / 4.584777 (-3.859957) | 2.384546 / 3.745712 (-1.361166) | 2.866759 / 5.269862 (-2.403103) | 1.930756 / 4.565676 (-2.634921) | 0.083090 / 0.424275 (-0.341185) | 0.005566 / 0.007607 (-0.002041) | 0.340117 / 0.226044 (0.114072) | 3.342417 / 2.268929 (1.073488) | 1.807842 / 55.444624 (-53.636782) | 1.511647 / 6.876477 (-5.364830) | 1.653893 / 2.142072 (-0.488179) | 0.803983 / 4.805227 (-4.001244) | 0.136205 / 6.500664 (-6.364459) | 0.042815 / 0.075469 (-0.032654) |

### 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) | 0.962346 / 1.841788 (-0.879442) | 11.792239 / 8.074308 (3.717931) | 9.236256 / 10.191392 (-0.955136) | 0.143200 / 0.680424 (-0.537224) | 0.015050 / 0.534201 (-0.519151) | 0.304623 / 0.579283 (-0.274660) | 0.266417 / 0.434364 (-0.167947) | 0.341213 / 0.540337 (-0.199124) | 0.454258 / 1.386936 (-0.932678) |

</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) | 0.005917 / 0.011353 (-0.005436) | 0.004005 / 0.011008 (-0.007003) | 0.049781 / 0.038508 (0.011273) | 0.033310 / 0.023109 (0.010200) | 0.271881 / 0.275898 (-0.004017) | 0.296855 / 0.323480 (-0.026625) | 0.004479 / 0.007986 (-0.003507) | 0.002818 / 0.004328 (-0.001510) | 0.048213 / 0.004250 (0.043962) | 0.043480 / 0.037052 (0.006428) | 0.285963 / 0.258489 (0.027473) | 0.317304 / 0.293841 (0.023463) | 0.031619 / 0.128546 (-0.096928) | 0.012312 / 0.075646 (-0.063335) | 0.059904 / 0.419271 (-0.359368) | 0.033152 / 0.043533 (-0.010381) | 0.274198 / 0.255139 (0.019059) | 0.290469 / 0.283200 (0.007269) | 0.019424 / 0.141683 (-0.122258) | 1.133669 / 1.452155 (-0.318485) | 1.194427 / 1.492716 (-0.298290) |

### 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) | 0.101561 / 0.018006 (0.083555) | 0.312617 / 0.000490 (0.312127) | 0.000216 / 0.000200 (0.000016) | 0.000045 / 0.000054 (-0.000009) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.023705 / 0.037411 (-0.013706) | 0.076781 / 0.014526 (0.062255) | 0.089922 / 0.176557 (-0.086634) | 0.129182 / 0.737135 (-0.607953) | 0.092022 / 0.296338 (-0.204317) |

### 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) | 0.300977 / 0.215209 (0.085768) | 2.909088 / 2.077655 (0.831433) | 1.592821 / 1.504120 (0.088701) | 1.466627 / 1.541195 (-0.074568) | 1.497558 / 1.468490 (0.029068) | 0.720986 / 4.584777 (-3.863791) | 0.958039 / 3.745712 (-2.787673) | 3.023413 / 5.269862 (-2.246448) | 1.933245 / 4.565676 (-2.632432) | 0.080500 / 0.424275 (-0.343775) | 0.005243 / 0.007607 (-0.002364) | 0.361259 / 0.226044 (0.135215) | 3.447317 / 2.268929 (1.178389) | 1.938234 / 55.444624 (-53.506390) | 1.671563 / 6.876477 (-5.204913) | 1.674647 / 2.142072 (-0.467425) | 0.790606 / 4.805227 (-4.014621) | 0.133312 / 6.500664 (-6.367352) | 0.041241 / 0.075469 (-0.034228) |

### 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) | 0.996167 / 1.841788 (-0.845621) | 12.460877 / 8.074308 (4.386569) | 10.608415 / 10.191392 (0.417023) | 0.134076 / 0.680424 (-0.546348) | 0.016166 / 0.534201 (-0.518035) | 0.301218 / 0.579283 (-0.278065) | 0.128979 / 0.434364 (-0.305385) | 0.336453 / 0.540337 (-0.203884) | 0.435561 / 1.386936 (-0.951375) |

</details>
</details>

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