Title: Set dev version
Author: albertvillanova (MEMBER)
State: closed
Created: 2024-08-14T08:31:17Z


Comments:
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7099). 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) | 0.005649 / 0.011353 (-0.005704) | 0.003918 / 0.011008 (-0.007091) | 0.064333 / 0.038508 (0.025825) | 0.031909 / 0.023109 (0.008800) | 0.249020 / 0.275898 (-0.026878) | 0.273563 / 0.323480 (-0.049917) | 0.004184 / 0.007986 (-0.003802) | 0.002809 / 0.004328 (-0.001519) | 0.049066 / 0.004250 (0.044816) | 0.043324 / 0.037052 (0.006272) | 0.257889 / 0.258489 (-0.000600) | 0.285410 / 0.293841 (-0.008431) | 0.030681 / 0.128546 (-0.097865) | 0.012389 / 0.075646 (-0.063258) | 0.206172 / 0.419271 (-0.213100) | 0.036500 / 0.043533 (-0.007032) | 0.253674 / 0.255139 (-0.001465) | 0.272086 / 0.283200 (-0.011114) | 0.019558 / 0.141683 (-0.122125) | 1.149501 / 1.452155 (-0.302653) | 1.198036 / 1.492716 (-0.294680) |

### 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) | 0.139977 / 0.018006 (0.121971) | 0.301149 / 0.000490 (0.300659) | 0.000253 / 0.000200 (0.000053) | 0.000049 / 0.000054 (-0.000005) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.019137 / 0.037411 (-0.018274) | 0.062616 / 0.014526 (0.048090) | 0.075965 / 0.176557 (-0.100591) | 0.120976 / 0.737135 (-0.616159) | 0.076384 / 0.296338 (-0.219954) |

### 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) | 0.283801 / 0.215209 (0.068592) | 2.794074 / 2.077655 (0.716419) | 1.475633 / 1.504120 (-0.028487) | 1.336270 / 1.541195 (-0.204925) | 1.376159 / 1.468490 (-0.092331) | 0.718768 / 4.584777 (-3.866009) | 2.375970 / 3.745712 (-1.369742) | 2.969121 / 5.269862 (-2.300741) | 1.900236 / 4.565676 (-2.665440) | 0.082463 / 0.424275 (-0.341812) | 0.005159 / 0.007607 (-0.002448) | 0.329057 / 0.226044 (0.103012) | 3.250535 / 2.268929 (0.981607) | 1.846415 / 55.444624 (-53.598210) | 1.496622 / 6.876477 (-5.379855) | 1.538125 / 2.142072 (-0.603947) | 0.806127 / 4.805227 (-3.999101) | 0.135272 / 6.500664 (-6.365392) | 0.042668 / 0.075469 (-0.032801) |

### 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) | 0.983035 / 1.841788 (-0.858753) | 11.725835 / 8.074308 (3.651527) | 9.962818 / 10.191392 (-0.228574) | 0.131928 / 0.680424 (-0.548496) | 0.015784 / 0.534201 (-0.518417) | 0.301640 / 0.579283 (-0.277643) | 0.266251 / 0.434364 (-0.168113) | 0.339723 / 0.540337 (-0.200614) | 0.443384 / 1.386936 (-0.943552) |

</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) | 0.006301 / 0.011353 (-0.005052) | 0.004346 / 0.011008 (-0.006662) | 0.051406 / 0.038508 (0.012898) | 0.032263 / 0.023109 (0.009154) | 0.273715 / 0.275898 (-0.002183) | 0.300982 / 0.323480 (-0.022498) | 0.004533 / 0.007986 (-0.003452) | 0.002911 / 0.004328 (-0.001418) | 0.050464 / 0.004250 (0.046214) | 0.041131 / 0.037052 (0.004078) | 0.289958 / 0.258489 (0.031469) | 0.328632 / 0.293841 (0.034791) | 0.033545 / 0.128546 (-0.095001) | 0.013145 / 0.075646 (-0.062501) | 0.062241 / 0.419271 (-0.357031) | 0.035095 / 0.043533 (-0.008438) | 0.273303 / 0.255139 (0.018164) | 0.293652 / 0.283200 (0.010452) | 0.019980 / 0.141683 (-0.121703) | 1.155432 / 1.452155 (-0.296722) | 1.211409 / 1.492716 (-0.281307) |

### 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) | 0.094885 / 0.018006 (0.076879) | 0.307423 / 0.000490 (0.306933) | 0.000254 / 0.000200 (0.000054) | 0.000068 / 0.000054 (0.000013) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.023462 / 0.037411 (-0.013949) | 0.081980 / 0.014526 (0.067454) | 0.089890 / 0.176557 (-0.086666) | 0.131058 / 0.737135 (-0.606078) | 0.091873 / 0.296338 (-0.204465) |

### 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) | 0.298522 / 0.215209 (0.083313) | 2.981771 / 2.077655 (0.904116) | 1.632515 / 1.504120 (0.128395) | 1.502885 / 1.541195 (-0.038310) | 1.496868 / 1.468490 (0.028377) | 0.750145 / 4.584777 (-3.834632) | 0.988853 / 3.745712 (-2.756859) | 3.029162 / 5.269862 (-2.240700) | 1.952304 / 4.565676 (-2.613373) | 0.082418 / 0.424275 (-0.341857) | 0.005724 / 0.007607 (-0.001883) | 0.356914 / 0.226044 (0.130870) | 3.523804 / 2.268929 (1.254875) | 1.983254 / 55.444624 (-53.461370) | 1.673135 / 6.876477 (-5.203342) | 1.716639 / 2.142072 (-0.425433) | 0.821568 / 4.805227 (-3.983659) | 0.136113 / 6.500664 (-6.364551) | 0.041593 / 0.075469 (-0.033876) |

### 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) | 1.044670 / 1.841788 (-0.797118) | 12.739375 / 8.074308 (4.665066) | 10.263619 / 10.191392 (0.072227) | 0.132811 / 0.680424 (-0.547613) | 0.015491 / 0.534201 (-0.518710) | 0.305545 / 0.579283 (-0.273738) | 0.129226 / 0.434364 (-0.305138) | 0.345532 / 0.540337 (-0.194805) | 0.460406 / 1.386936 (-0.926530) |

</details>
</details>

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