Update release instructions
State: closed | Author: albertvillanova (MEMBER)
Labels: name: maintenance

Update release instructions.

Comments: The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6681). 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) | 0.005410 / 0.011353 (-0.005943) | 0.003862 / 0.011008 (-0.007146) | 0.063457 / 0.038508 (0.024949) | 0.030081 / 0.023109 (0.006972) | 0.250657 / 0.275898 (-0.025241) | 0.275483 / 0.323480 (-0.047997) | 0.004048 / 0.007986 (-0.003938) | 0.002818 / 0.004328 (-0.001511) | 0.048940 / 0.004250 (0.044689) | 0.043397 / 0.037052 (0.006345) | 0.262160 / 0.258489 (0.003671) | 0.294154 / 0.293841 (0.000313) | 0.030028 / 0.128546 (-0.098519) | 0.010789 / 0.075646 (-0.064857) | 0.209665 / 0.419271 (-0.209606) | 0.035297 / 0.043533 (-0.008236) | 0.253169 / 0.255139 (-0.001970) | 0.271775 / 0.283200 (-0.011424) | 0.018332 / 0.141683 (-0.123351) | 1.152420 / 1.452155 (-0.299735) | 1.262767 / 1.492716 (-0.229949) |

### 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) | 0.089990 / 0.018006 (0.071984) | 0.298552 / 0.000490 (0.298062) | 0.000217 / 0.000200 (0.000017) | 0.000050 / 0.000054 (-0.000005) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.018414 / 0.037411 (-0.018997) | 0.061566 / 0.014526 (0.047040) | 0.075360 / 0.176557 (-0.101196) | 0.123470 / 0.737135 (-0.613665) | 0.075215 / 0.296338 (-0.221124) |

### 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) | 0.279563 / 0.215209 (0.064354) | 2.725212 / 2.077655 (0.647557) | 1.446413 / 1.504120 (-0.057707) | 1.321665 / 1.541195 (-0.219529) | 1.352475 / 1.468490 (-0.116015) | 0.568440 / 4.584777 (-4.016337) | 2.393217 / 3.745712 (-1.352495) | 2.793150 / 5.269862 (-2.476711) | 1.764316 / 4.565676 (-2.801360) | 0.063157 / 0.424275 (-0.361118) | 0.005117 / 0.007607 (-0.002491) | 0.333310 / 0.226044 (0.107265) | 3.291000 / 2.268929 (1.022071) | 1.824654 / 55.444624 (-53.619971) | 1.558681 / 6.876477 (-5.317795) | 1.580558 / 2.142072 (-0.561514) | 0.649831 / 4.805227 (-4.155396) | 0.118674 / 6.500664 (-6.381990) | 0.042247 / 0.075469 (-0.033222) |

### 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) | 0.976552 / 1.841788 (-0.865236) | 11.847361 / 8.074308 (3.773053) | 9.490786 / 10.191392 (-0.700606) | 0.141643 / 0.680424 (-0.538781) | 0.013653 / 0.534201 (-0.520548) | 0.284345 / 0.579283 (-0.294938) | 0.268314 / 0.434364 (-0.166050) | 0.339586 / 0.540337 (-0.200751) | 0.445239 / 1.386936 (-0.941697) |

</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) | 0.005754 / 0.011353 (-0.005599) | 0.004038 / 0.011008 (-0.006970) | 0.050027 / 0.038508 (0.011519) | 0.033598 / 0.023109 (0.010488) | 0.286514 / 0.275898 (0.010616) | 0.302493 / 0.323480 (-0.020986) | 0.004254 / 0.007986 (-0.003731) | 0.002827 / 0.004328 (-0.001502) | 0.050433 / 0.004250 (0.046182) | 0.046106 / 0.037052 (0.009054) | 0.301522 / 0.258489 (0.043033) | 0.325784 / 0.293841 (0.031943) | 0.030014 / 0.128546 (-0.098532) | 0.010891 / 0.075646 (-0.064756) | 0.059899 / 0.419271 (-0.359373) | 0.057252 / 0.043533 (0.013719) | 0.280276 / 0.255139 (0.025137) | 0.295632 / 0.283200 (0.012433) | 0.019060 / 0.141683 (-0.122622) | 1.141423 / 1.452155 (-0.310731) | 1.226960 / 1.492716 (-0.265757) |

### 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) | 0.091919 / 0.018006 (0.073913) | 0.300769 / 0.000490 (0.300279) | 0.000220 / 0.000200 (0.000020) | 0.000053 / 0.000054 (-0.000002) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.022467 / 0.037411 (-0.014945) | 0.075342 / 0.014526 (0.060816) | 0.087988 / 0.176557 (-0.088569) | 0.128304 / 0.737135 (-0.608831) | 0.089058 / 0.296338 (-0.207280) |

### 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) | 0.294662 / 0.215209 (0.079453) | 2.887743 / 2.077655 (0.810088) | 1.591756 / 1.504120 (0.087636) | 1.469249 / 1.541195 (-0.071945) | 1.495639 / 1.468490 (0.027149) | 0.575507 / 4.584777 (-4.009270) | 2.449674 / 3.745712 (-1.296038) | 2.737217 / 5.269862 (-2.532645) | 1.783066 / 4.565676 (-2.782610) | 0.063388 / 0.424275 (-0.360887) | 0.005044 / 0.007607 (-0.002563) | 0.344807 / 0.226044 (0.118763) | 3.410845 / 2.268929 (1.141916) | 1.967452 / 55.444624 (-53.477173) | 1.699884 / 6.876477 (-5.176593) | 1.862466 / 2.142072 (-0.279607) | 0.663714 / 4.805227 (-4.141513) | 0.118356 / 6.500664 (-6.382308) | 0.041176 / 0.075469 (-0.034293) |

### 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) | 1.013523 / 1.841788 (-0.828264) | 12.498866 / 8.074308 (4.424558) | 10.382595 / 10.191392 (0.191203) | 0.141757 / 0.680424 (-0.538667) | 0.015992 / 0.534201 (-0.518209) | 0.295639 / 0.579283 (-0.283644) | 0.278382 / 0.434364 (-0.155982) | 0.330351 / 0.540337 (-0.209986) | 0.431293 / 1.386936 (-0.955643) |

</details>
</details>

![](https://cml.dev/watermark.png#cf1aaa32eddd73076cf6600125661df4a32cb20a "CML watermark")