Title: Set dev version
Author: albertvillanova (MEMBER)
State: closed
Created: 2024-06-13T14:59:45Z


Comments:
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6970). 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) | 0.005450 / 0.011353 (-0.005902) | 0.003911 / 0.011008 (-0.007098) | 0.063467 / 0.038508 (0.024959) | 0.031029 / 0.023109 (0.007920) | 0.247916 / 0.275898 (-0.027982) | 0.274737 / 0.323480 (-0.048743) | 0.003255 / 0.007986 (-0.004731) | 0.002842 / 0.004328 (-0.001487) | 0.049617 / 0.004250 (0.045366) | 0.046689 / 0.037052 (0.009637) | 0.255152 / 0.258489 (-0.003337) | 0.288630 / 0.293841 (-0.005211) | 0.028174 / 0.128546 (-0.100372) | 0.010773 / 0.075646 (-0.064873) | 0.202119 / 0.419271 (-0.217153) | 0.035914 / 0.043533 (-0.007619) | 0.248197 / 0.255139 (-0.006942) | 0.273508 / 0.283200 (-0.009691) | 0.020626 / 0.141683 (-0.121057) | 1.125668 / 1.452155 (-0.326487) | 1.156678 / 1.492716 (-0.336038) |

### 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) | 0.098294 / 0.018006 (0.080288) | 0.306661 / 0.000490 (0.306172) | 0.000227 / 0.000200 (0.000027) | 0.000043 / 0.000054 (-0.000011) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.019118 / 0.037411 (-0.018293) | 0.063086 / 0.014526 (0.048560) | 0.077735 / 0.176557 (-0.098822) | 0.123159 / 0.737135 (-0.613976) | 0.077228 / 0.296338 (-0.219111) |

### 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) | 0.280031 / 0.215209 (0.064822) | 2.762524 / 2.077655 (0.684870) | 1.444571 / 1.504120 (-0.059549) | 1.330590 / 1.541195 (-0.210604) | 1.371937 / 1.468490 (-0.096553) | 0.563847 / 4.584777 (-4.020930) | 2.369908 / 3.745712 (-1.375804) | 2.827441 / 5.269862 (-2.442420) | 1.749864 / 4.565676 (-2.815812) | 0.063996 / 0.424275 (-0.360279) | 0.005060 / 0.007607 (-0.002547) | 0.326067 / 0.226044 (0.100023) | 3.270170 / 2.268929 (1.001242) | 1.785164 / 55.444624 (-53.659460) | 1.560432 / 6.876477 (-5.316045) | 1.587005 / 2.142072 (-0.555068) | 0.645714 / 4.805227 (-4.159513) | 0.119975 / 6.500664 (-6.380689) | 0.043962 / 0.075469 (-0.031507) |

### 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) | 0.979003 / 1.841788 (-0.862785) | 11.988701 / 8.074308 (3.914393) | 9.788564 / 10.191392 (-0.402828) | 0.142644 / 0.680424 (-0.537780) | 0.014924 / 0.534201 (-0.519277) | 0.285942 / 0.579283 (-0.293341) | 0.264086 / 0.434364 (-0.170278) | 0.343360 / 0.540337 (-0.196977) | 0.413467 / 1.386936 (-0.973469) |

</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) | 0.005818 / 0.011353 (-0.005535) | 0.003726 / 0.011008 (-0.007283) | 0.050936 / 0.038508 (0.012428) | 0.032000 / 0.023109 (0.008890) | 0.273282 / 0.275898 (-0.002616) | 0.293889 / 0.323480 (-0.029591) | 0.004287 / 0.007986 (-0.003699) | 0.002797 / 0.004328 (-0.001531) | 0.049088 / 0.004250 (0.044838) | 0.040235 / 0.037052 (0.003183) | 0.280240 / 0.258489 (0.021751) | 0.315749 / 0.293841 (0.021908) | 0.029986 / 0.128546 (-0.098560) | 0.010440 / 0.075646 (-0.065206) | 0.058935 / 0.419271 (-0.360336) | 0.033198 / 0.043533 (-0.010335) | 0.274321 / 0.255139 (0.019182) | 0.288039 / 0.283200 (0.004840) | 0.018865 / 0.141683 (-0.122818) | 1.114915 / 1.452155 (-0.337240) | 1.180548 / 1.492716 (-0.312169) |

### 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) | 0.095028 / 0.018006 (0.077022) | 0.304797 / 0.000490 (0.304307) | 0.000221 / 0.000200 (0.000021) | 0.000056 / 0.000054 (0.000001) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.022556 / 0.037411 (-0.014855) | 0.076839 / 0.014526 (0.062313) | 0.090255 / 0.176557 (-0.086302) | 0.128748 / 0.737135 (-0.608387) | 0.091718 / 0.296338 (-0.204621) |

### 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) | 0.296061 / 0.215209 (0.080852) | 2.851376 / 2.077655 (0.773722) | 1.548084 / 1.504120 (0.043964) | 1.428589 / 1.541195 (-0.112606) | 1.467244 / 1.468490 (-0.001246) | 0.583533 / 4.584777 (-4.001244) | 0.967436 / 3.745712 (-2.778277) | 2.774775 / 5.269862 (-2.495087) | 1.800435 / 4.565676 (-2.765242) | 0.063998 / 0.424275 (-0.360277) | 0.005420 / 0.007607 (-0.002187) | 0.346353 / 0.226044 (0.120308) | 3.383885 / 2.268929 (1.114956) | 1.902914 / 55.444624 (-53.541710) | 1.599545 / 6.876477 (-5.276932) | 1.772754 / 2.142072 (-0.369318) | 0.651804 / 4.805227 (-4.153423) | 0.120380 / 6.500664 (-6.380284) | 0.043311 / 0.075469 (-0.032159) |

### 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) | 1.004414 / 1.841788 (-0.837374) | 12.356077 / 8.074308 (4.281769) | 10.513420 / 10.191392 (0.322028) | 0.132419 / 0.680424 (-0.548005) | 0.015470 / 0.534201 (-0.518731) | 0.284883 / 0.579283 (-0.294400) | 0.130763 / 0.434364 (-0.303601) | 0.320068 / 0.540337 (-0.220270) | 0.430284 / 1.386936 (-0.956652) |

</details>
</details>

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