Add support for `fsspec>=2023.9.0`
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2023-09-15T18:05:21Z
https://github.com/huggingface/datasets/pull/6244#issuecomment-1721656563
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<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) | 0.006410 / 0.011353 (-0.004943) | 0.003995 / 0.011008 (-0.007013) | 0.083585 / 0.038508 (0.045076) | 0.074285 / 0.023109 (0.051176) | 0.307163 / 0.275898 (0.031265) | 0.344691 / 0.323480 (0.021212) | 0.004277 / 0.007986 (-0.003708) | 0.004192 / 0.004328 (-0.000136) | 0.065156 / 0.004250 (0.060905) | 0.056774 / 0.037052 (0.019721) | 0.315483 / 0.258489 (0.056994) | 0.361911 / 0.293841 (0.068070) | 0.030454 / 0.128546 (-0.098092) | 0.008600 / 0.075646 (-0.067047) | 0.286692 / 0.419271 (-0.132579) | 0.052354 / 0.043533 (0.008821) | 0.308997 / 0.255139 (0.053858) | 0.337847 / 0.283200 (0.054647) | 0.022459 / 0.141683 (-0.119224) | 1.482758 / 1.452155 (0.030604) | 1.572853 / 1.492716 (0.080137) |

### 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) | 0.288603 / 0.018006 (0.270597) | 0.632903 / 0.000490 (0.632413) | 0.013702 / 0.000200 (0.013502) | 0.000284 / 0.000054 (0.000230) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.028448 / 0.037411 (-0.008964) | 0.082441 / 0.014526 (0.067916) | 0.099048 / 0.176557 (-0.077508) | 0.154370 / 0.737135 (-0.582765) | 0.146143 / 0.296338 (-0.150195) |

### 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) | 0.399250 / 0.215209 (0.184040) | 3.986683 / 2.077655 (1.909028) | 1.962606 / 1.504120 (0.458486) | 1.782653 / 1.541195 (0.241459) | 1.830251 / 1.468490 (0.361761) | 0.492498 / 4.584777 (-4.092278) | 3.549581 / 3.745712 (-0.196131) | 3.200056 / 5.269862 (-2.069806) | 2.028109 / 4.565676 (-2.537568) | 0.058222 / 0.424275 (-0.366053) | 0.007629 / 0.007607 (0.000022) | 0.482083 / 0.226044 (0.256039) | 4.824728 / 2.268929 (2.555800) | 2.448772 / 55.444624 (-52.995852) | 2.079629 / 6.876477 (-4.796848) | 2.267739 / 2.142072 (0.125667) | 0.586712 / 4.805227 (-4.218515) | 0.134073 / 6.500664 (-6.366591) | 0.060565 / 0.075469 (-0.014904) |

### 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) | 1.263244 / 1.841788 (-0.578544) | 18.964498 / 8.074308 (10.890190) | 14.125062 / 10.191392 (3.933670) | 0.167635 / 0.680424 (-0.512789) | 0.018469 / 0.534201 (-0.515732) | 0.390395 / 0.579283 (-0.188888) | 0.406055 / 0.434364 (-0.028309) | 0.460717 / 0.540337 (-0.079620) | 0.642746 / 1.386936 (-0.744190) |

</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) | 0.006637 / 0.011353 (-0.004716) | 0.003972 / 0.011008 (-0.007036) | 0.064569 / 0.038508 (0.026061) | 0.075450 / 0.023109 (0.052341) | 0.405250 / 0.275898 (0.129352) | 0.433530 / 0.323480 (0.110050) | 0.005625 / 0.007986 (-0.002361) | 0.004118 / 0.004328 (-0.000211) | 0.065092 / 0.004250 (0.060842) | 0.057979 / 0.037052 (0.020927) | 0.413732 / 0.258489 (0.155243) | 0.451983 / 0.293841 (0.158142) | 0.032170 / 0.128546 (-0.096377) | 0.008690 / 0.075646 (-0.066957) | 0.071792 / 0.419271 (-0.347479) | 0.048560 / 0.043533 (0.005027) | 0.410312 / 0.255139 (0.155173) | 0.427294 / 0.283200 (0.144095) | 0.023006 / 0.141683 (-0.118677) | 1.496319 / 1.452155 (0.044164) | 1.566744 / 1.492716 (0.074027) |

### 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) | 0.266812 / 0.018006 (0.248805) | 0.540277 / 0.000490 (0.539788) | 0.008998 / 0.000200 (0.008799) | 0.000101 / 0.000054 (0.000047) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.032496 / 0.037411 (-0.004915) | 0.091387 / 0.014526 (0.076861) | 0.107516 / 0.176557 (-0.069041) | 0.160019 / 0.737135 (-0.577116) | 0.107686 / 0.296338 (-0.188652) |

### 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) | 0.433321 / 0.215209 (0.218111) | 4.330221 / 2.077655 (2.252566) | 2.367215 / 1.504120 (0.863095) | 2.192464 / 1.541195 (0.651269) | 2.200204 / 1.468490 (0.731714) | 0.488057 / 4.584777 (-4.096720) | 3.625429 / 3.745712 (-0.120283) | 3.282859 / 5.269862 (-1.987003) | 2.038716 / 4.565676 (-2.526960) | 0.057968 / 0.424275 (-0.366307) | 0.007753 / 0.007607 (0.000146) | 0.509133 / 0.226044 (0.283089) | 5.086445 / 2.268929 (2.817516) | 2.846017 / 55.444624 (-52.598607) | 2.469546 / 6.876477 (-4.406931) | 2.673218 / 2.142072 (0.531145) | 0.591228 / 4.805227 (-4.213999) | 0.131920 / 6.500664 (-6.368744) | 0.059967 / 0.075469 (-0.015502) |

### 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) | 1.375634 / 1.841788 (-0.466153) | 19.506752 / 8.074308 (11.432444) | 14.677876 / 10.191392 (4.486484) | 0.165071 / 0.680424 (-0.515353) | 0.020614 / 0.534201 (-0.513587) | 0.395967 / 0.579283 (-0.183316) | 0.424358 / 0.434364 (-0.010006) | 0.469954 / 0.540337 (-0.070384) | 0.643169 / 1.386936 (-0.743767) |

</details>
</details>

![](https://cml.dev/watermark.png#887a854f03c4ac6d2e99b9ef4d89e6fe8c46d6f1 "CML watermark")

2023-09-15T18:06:27Z
https://github.com/huggingface/datasets/pull/6244#issuecomment-1721657699
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<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) | 0.006072 / 0.011353 (-0.005281) | 0.003691 / 0.011008 (-0.007318) | 0.081683 / 0.038508 (0.043175) | 0.059114 / 0.023109 (0.036005) | 0.317053 / 0.275898 (0.041155) | 0.357672 / 0.323480 (0.034192) | 0.003577 / 0.007986 (-0.004408) | 0.003890 / 0.004328 (-0.000438) | 0.063667 / 0.004250 (0.059417) | 0.048233 / 0.037052 (0.011181) | 0.322854 / 0.258489 (0.064365) | 0.368014 / 0.293841 (0.074173) | 0.027750 / 0.128546 (-0.100796) | 0.008137 / 0.075646 (-0.067509) | 0.263906 / 0.419271 (-0.155366) | 0.045402 / 0.043533 (0.001870) | 0.315414 / 0.255139 (0.060275) | 0.340906 / 0.283200 (0.057707) | 0.023475 / 0.141683 (-0.118208) | 1.443922 / 1.452155 (-0.008233) | 1.550332 / 1.492716 (0.057616) |

### 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) | 0.211914 / 0.018006 (0.193908) | 0.423577 / 0.000490 (0.423088) | 0.003436 / 0.000200 (0.003236) | 0.000077 / 0.000054 (0.000022) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.024675 / 0.037411 (-0.012737) | 0.072550 / 0.014526 (0.058024) | 0.084533 / 0.176557 (-0.092024) | 0.146106 / 0.737135 (-0.591029) | 0.085523 / 0.296338 (-0.210816) |

### 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) | 0.403498 / 0.215209 (0.188289) | 4.019000 / 2.077655 (1.941345) | 1.984821 / 1.504120 (0.480701) | 1.805071 / 1.541195 (0.263876) | 1.860906 / 1.468490 (0.392416) | 0.499570 / 4.584777 (-4.085207) | 3.088424 / 3.745712 (-0.657288) | 2.833693 / 5.269862 (-2.436169) | 1.869731 / 4.565676 (-2.695945) | 0.057606 / 0.424275 (-0.366669) | 0.006960 / 0.007607 (-0.000647) | 0.476085 / 0.226044 (0.250040) | 4.774063 / 2.268929 (2.505134) | 2.458079 / 55.444624 (-52.986545) | 2.106075 / 6.876477 (-4.770402) | 2.248373 / 2.142072 (0.106301) | 0.589767 / 4.805227 (-4.215460) | 0.124382 / 6.500664 (-6.376282) | 0.060705 / 0.075469 (-0.014764) |

### 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) | 1.287031 / 1.841788 (-0.554756) | 17.662455 / 8.074308 (9.588147) | 14.288812 / 10.191392 (4.097420) | 0.156168 / 0.680424 (-0.524256) | 0.016795 / 0.534201 (-0.517406) | 0.333726 / 0.579283 (-0.245557) | 0.362327 / 0.434364 (-0.072037) | 0.387773 / 0.540337 (-0.152564) | 0.547232 / 1.386936 (-0.839704) |

</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) | 0.006494 / 0.011353 (-0.004859) | 0.003762 / 0.011008 (-0.007247) | 0.062373 / 0.038508 (0.023864) | 0.066357 / 0.023109 (0.043247) | 0.448687 / 0.275898 (0.172789) | 0.482445 / 0.323480 (0.158965) | 0.004990 / 0.007986 (-0.002996) | 0.002945 / 0.004328 (-0.001384) | 0.062444 / 0.004250 (0.058194) | 0.051381 / 0.037052 (0.014329) | 0.449310 / 0.258489 (0.190821) | 0.483188 / 0.293841 (0.189347) | 0.029078 / 0.128546 (-0.099468) | 0.008146 / 0.075646 (-0.067501) | 0.067369 / 0.419271 (-0.351903) | 0.041732 / 0.043533 (-0.001801) | 0.451675 / 0.255139 (0.196536) | 0.470445 / 0.283200 (0.187246) | 0.021053 / 0.141683 (-0.120630) | 1.483627 / 1.452155 (0.031472) | 1.541594 / 1.492716 (0.048878) |

### 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) | 0.210247 / 0.018006 (0.192240) | 0.424663 / 0.000490 (0.424173) | 0.005394 / 0.000200 (0.005194) | 0.000076 / 0.000054 (0.000021) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.026894 / 0.037411 (-0.010517) | 0.081324 / 0.014526 (0.066798) | 0.091362 / 0.176557 (-0.085195) | 0.145602 / 0.737135 (-0.591533) | 0.091896 / 0.296338 (-0.204443) |

### 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) | 0.469662 / 0.215209 (0.254453) | 4.689495 / 2.077655 (2.611840) | 2.596462 / 1.504120 (1.092342) | 2.422584 / 1.541195 (0.881389) | 2.476710 / 1.468490 (1.008220) | 0.507049 / 4.584777 (-4.077728) | 3.185519 / 3.745712 (-0.560193) | 2.879842 / 5.269862 (-2.390019) | 1.882643 / 4.565676 (-2.683034) | 0.058046 / 0.424275 (-0.366229) | 0.006797 / 0.007607 (-0.000811) | 0.545245 / 0.226044 (0.319201) | 5.449248 / 2.268929 (3.180319) | 3.057341 / 55.444624 (-52.387283) | 2.728385 / 6.876477 (-4.148092) | 2.898945 / 2.142072 (0.756873) | 0.600035 / 4.805227 (-4.205192) | 0.126337 / 6.500664 (-6.374327) | 0.061333 / 0.075469 (-0.014136) |

### 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) | 1.332966 / 1.841788 (-0.508821) | 17.960805 / 8.074308 (9.886497) | 14.978838 / 10.191392 (4.787446) | 0.148852 / 0.680424 (-0.531572) | 0.018307 / 0.534201 (-0.515894) | 0.335234 / 0.579283 (-0.244050) | 0.389659 / 0.434364 (-0.044704) | 0.393259 / 0.540337 (-0.147078) | 0.549237 / 1.386936 (-0.837699) |

</details>
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<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) | 0.008808 / 0.011353 (-0.002545) | 0.005001 / 0.011008 (-0.006008) | 0.110022 / 0.038508 (0.071514) | 0.078015 / 0.023109 (0.054906) | 0.384724 / 0.275898 (0.108826) | 0.441354 / 0.323480 (0.117874) | 0.005116 / 0.007986 (-0.002870) | 0.004308 / 0.004328 (-0.000020) | 0.081679 / 0.004250 (0.077429) | 0.061386 / 0.037052 (0.024333) | 0.398149 / 0.258489 (0.139660) | 0.464859 / 0.293841 (0.171018) | 0.047443 / 0.128546 (-0.081104) | 0.014693 / 0.075646 (-0.060954) | 0.365438 / 0.419271 (-0.053833) | 0.081689 / 0.043533 (0.038156) | 0.400458 / 0.255139 (0.145319) | 0.449958 / 0.283200 (0.166758) | 0.038266 / 0.141683 (-0.103417) | 1.795043 / 1.452155 (0.342888) | 1.908819 / 1.492716 (0.416102) |

### 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) | 0.297911 / 0.018006 (0.279905) | 0.601640 / 0.000490 (0.601150) | 0.015406 / 0.000200 (0.015206) | 0.000163 / 0.000054 (0.000108) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.034520 / 0.037411 (-0.002891) | 0.092657 / 0.014526 (0.078131) | 0.113992 / 0.176557 (-0.062564) | 0.189075 / 0.737135 (-0.548061) | 0.106602 / 0.296338 (-0.189736) |

### 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) | 0.585838 / 0.215209 (0.370629) | 5.719281 / 2.077655 (3.641627) | 2.525914 / 1.504120 (1.021794) | 2.231908 / 1.541195 (0.690713) | 2.215272 / 1.468490 (0.746782) | 0.814425 / 4.584777 (-3.770352) | 5.243406 / 3.745712 (1.497694) | 4.476642 / 5.269862 (-0.793220) | 2.929438 / 4.565676 (-1.636239) | 0.092070 / 0.424275 (-0.332205) | 0.009358 / 0.007607 (0.001751) | 0.713975 / 0.226044 (0.487931) | 6.948846 / 2.268929 (4.679918) | 3.361125 / 55.444624 (-52.083500) | 2.575224 / 6.876477 (-4.301253) | 2.783082 / 2.142072 (0.641009) | 1.016205 / 4.805227 (-3.789022) | 0.202578 / 6.500664 (-6.298086) | 0.076696 / 0.075469 (0.001227) |

### 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) | 1.650889 / 1.841788 (-0.190898) | 23.358273 / 8.074308 (15.283965) | 19.882450 / 10.191392 (9.691058) | 0.228971 / 0.680424 (-0.451453) | 0.027736 / 0.534201 (-0.506465) | 0.472405 / 0.579283 (-0.106878) | 0.581799 / 0.434364 (0.147435) | 0.533000 / 0.540337 (-0.007338) | 0.815588 / 1.386936 (-0.571348) |

</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) | 0.009151 / 0.011353 (-0.002202) | 0.005074 / 0.011008 (-0.005934) | 0.078709 / 0.038508 (0.040201) | 0.077696 / 0.023109 (0.054586) | 0.522356 / 0.275898 (0.246458) | 0.562345 / 0.323480 (0.238865) | 0.006411 / 0.007986 (-0.001575) | 0.004379 / 0.004328 (0.000051) | 0.082402 / 0.004250 (0.078151) | 0.064223 / 0.037052 (0.027170) | 0.518184 / 0.258489 (0.259695) | 0.566221 / 0.293841 (0.272380) | 0.046796 / 0.128546 (-0.081750) | 0.013987 / 0.075646 (-0.061659) | 0.094925 / 0.419271 (-0.324346) | 0.058810 / 0.043533 (0.015277) | 0.520252 / 0.255139 (0.265113) | 0.566403 / 0.283200 (0.283203) | 0.034720 / 0.141683 (-0.106963) | 1.796809 / 1.452155 (0.344654) | 1.913787 / 1.492716 (0.421070) |

### 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) | 0.317449 / 0.018006 (0.299443) | 0.620154 / 0.000490 (0.619664) | 0.007066 / 0.000200 (0.006866) | 0.000126 / 0.000054 (0.000072) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.035252 / 0.037411 (-0.002160) | 0.111648 / 0.014526 (0.097122) | 0.120692 / 0.176557 (-0.055864) | 0.193202 / 0.737135 (-0.543933) | 0.127905 / 0.296338 (-0.168434) |

### 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) | 0.661012 / 0.215209 (0.445803) | 6.626680 / 2.077655 (4.549026) | 3.243065 / 1.504120 (1.738945) | 2.904053 / 1.541195 (1.362858) | 2.880516 / 1.468490 (1.412026) | 0.875650 / 4.584777 (-3.709127) | 5.381993 / 3.745712 (1.636281) | 4.743997 / 5.269862 (-0.525864) | 3.020736 / 4.565676 (-1.544940) | 0.106573 / 0.424275 (-0.317702) | 0.011151 / 0.007607 (0.003544) | 0.821990 / 0.226044 (0.595946) | 8.225383 / 2.268929 (5.956454) | 3.963232 / 55.444624 (-51.481392) | 3.288916 / 6.876477 (-3.587561) | 3.579435 / 2.142072 (1.437363) | 1.043379 / 4.805227 (-3.761848) | 0.207508 / 6.500664 (-6.293156) | 0.085109 / 0.075469 (0.009640) |

### 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) | 1.723798 / 1.841788 (-0.117990) | 24.709848 / 8.074308 (16.635540) | 22.484674 / 10.191392 (12.293282) | 0.260357 / 0.680424 (-0.420067) | 0.033539 / 0.534201 (-0.500662) | 0.487814 / 0.579283 (-0.091469) | 0.610171 / 0.434364 (0.175807) | 0.585012 / 0.540337 (0.044674) | 0.803764 / 1.386936 (-0.583172) |

</details>
</details>

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2023-09-17T22:49:23Z
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<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) | 0.006661 / 0.011353 (-0.004692) | 0.004022 / 0.011008 (-0.006987) | 0.084269 / 0.038508 (0.045760) | 0.070707 / 0.023109 (0.047598) | 0.315035 / 0.275898 (0.039137) | 0.339830 / 0.323480 (0.016350) | 0.003994 / 0.007986 (-0.003991) | 0.004129 / 0.004328 (-0.000199) | 0.065383 / 0.004250 (0.061133) | 0.055493 / 0.037052 (0.018441) | 0.320521 / 0.258489 (0.062032) | 0.354301 / 0.293841 (0.060460) | 0.031177 / 0.128546 (-0.097370) | 0.008724 / 0.075646 (-0.066922) | 0.288298 / 0.419271 (-0.130974) | 0.052418 / 0.043533 (0.008885) | 0.319122 / 0.255139 (0.063983) | 0.335859 / 0.283200 (0.052659) | 0.026260 / 0.141683 (-0.115423) | 1.450039 / 1.452155 (-0.002115) | 1.545172 / 1.492716 (0.052455) |

### 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) | 0.234232 / 0.018006 (0.216226) | 0.454983 / 0.000490 (0.454493) | 0.007590 / 0.000200 (0.007390) | 0.000550 / 0.000054 (0.000495) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.028714 / 0.037411 (-0.008698) | 0.083686 / 0.014526 (0.069160) | 0.162986 / 0.176557 (-0.013570) | 0.167574 / 0.737135 (-0.569561) | 0.273158 / 0.296338 (-0.023180) |

### 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) | 0.388275 / 0.215209 (0.173066) | 3.862034 / 2.077655 (1.784379) | 1.843561 / 1.504120 (0.339441) | 1.675224 / 1.541195 (0.134029) | 1.730394 / 1.468490 (0.261904) | 0.495259 / 4.584777 (-4.089518) | 3.627155 / 3.745712 (-0.118557) | 3.290590 / 5.269862 (-1.979272) | 2.032432 / 4.565676 (-2.533245) | 0.058212 / 0.424275 (-0.366063) | 0.007815 / 0.007607 (0.000208) | 0.460625 / 0.226044 (0.234580) | 4.616845 / 2.268929 (2.347916) | 2.339280 / 55.444624 (-53.105344) | 1.957216 / 6.876477 (-4.919261) | 2.129511 / 2.142072 (-0.012562) | 0.591782 / 4.805227 (-4.213446) | 0.136391 / 6.500664 (-6.364273) | 0.059627 / 0.075469 (-0.015842) |

### 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) | 1.278998 / 1.841788 (-0.562789) | 18.485496 / 8.074308 (10.411188) | 14.161273 / 10.191392 (3.969881) | 0.164346 / 0.680424 (-0.516078) | 0.018144 / 0.534201 (-0.516057) | 0.391601 / 0.579283 (-0.187682) | 0.424391 / 0.434364 (-0.009973) | 0.458209 / 0.540337 (-0.082129) | 0.645124 / 1.386936 (-0.741812) |

</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) | 0.006799 / 0.011353 (-0.004554) | 0.004023 / 0.011008 (-0.006985) | 0.065206 / 0.038508 (0.026698) | 0.074386 / 0.023109 (0.051277) | 0.437399 / 0.275898 (0.161501) | 0.467382 / 0.323480 (0.143903) | 0.005467 / 0.007986 (-0.002519) | 0.003324 / 0.004328 (-0.001005) | 0.064289 / 0.004250 (0.060039) | 0.057257 / 0.037052 (0.020205) | 0.440035 / 0.258489 (0.181546) | 0.477138 / 0.293841 (0.183298) | 0.032171 / 0.128546 (-0.096375) | 0.008400 / 0.075646 (-0.067247) | 0.070877 / 0.419271 (-0.348395) | 0.048180 / 0.043533 (0.004648) | 0.441274 / 0.255139 (0.186135) | 0.461386 / 0.283200 (0.178187) | 0.022576 / 0.141683 (-0.119106) | 1.520914 / 1.452155 (0.068759) | 1.575593 / 1.492716 (0.082877) |

### 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) | 0.221551 / 0.018006 (0.203545) | 0.447213 / 0.000490 (0.446723) | 0.004435 / 0.000200 (0.004235) | 0.000099 / 0.000054 (0.000044) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.032123 / 0.037411 (-0.005288) | 0.091809 / 0.014526 (0.077283) | 0.103938 / 0.176557 (-0.072618) | 0.156878 / 0.737135 (-0.580258) | 0.105071 / 0.296338 (-0.191268) |

### 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) | 0.430389 / 0.215209 (0.215180) | 4.293496 / 2.077655 (2.215841) | 2.292801 / 1.504120 (0.788681) | 2.135320 / 1.541195 (0.594126) | 2.195720 / 1.468490 (0.727229) | 0.493277 / 4.584777 (-4.091500) | 3.685617 / 3.745712 (-0.060096) | 3.278897 / 5.269862 (-1.990965) | 2.036939 / 4.565676 (-2.528737) | 0.058766 / 0.424275 (-0.365509) | 0.007783 / 0.007607 (0.000176) | 0.511165 / 0.226044 (0.285120) | 5.126757 / 2.268929 (2.857829) | 2.756690 / 55.444624 (-52.687935) | 2.421745 / 6.876477 (-4.454732) | 2.597249 / 2.142072 (0.455177) | 0.647206 / 4.805227 (-4.158021) | 0.143392 / 6.500664 (-6.357273) | 0.060110 / 0.075469 (-0.015359) |

### 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) | 1.340289 / 1.841788 (-0.501499) | 19.057620 / 8.074308 (10.983312) | 14.832892 / 10.191392 (4.641500) | 0.167730 / 0.680424 (-0.512694) | 0.020178 / 0.534201 (-0.514023) | 0.394060 / 0.579283 (-0.185223) | 0.433976 / 0.434364 (-0.000388) | 0.474417 / 0.540337 (-0.065921) | 0.640653 / 1.386936 (-0.746283) |

</details>
</details>

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<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) | 0.007661 / 0.011353 (-0.003692) | 0.004541 / 0.011008 (-0.006467) | 0.100547 / 0.038508 (0.062039) | 0.084257 / 0.023109 (0.061148) | 0.377627 / 0.275898 (0.101729) | 0.433764 / 0.323480 (0.110284) | 0.005995 / 0.007986 (-0.001990) | 0.003810 / 0.004328 (-0.000518) | 0.076409 / 0.004250 (0.072158) | 0.063411 / 0.037052 (0.026359) | 0.382504 / 0.258489 (0.124015) | 0.449721 / 0.293841 (0.155880) | 0.036499 / 0.128546 (-0.092047) | 0.009942 / 0.075646 (-0.065705) | 0.343839 / 0.419271 (-0.075433) | 0.062147 / 0.043533 (0.018614) | 0.383244 / 0.255139 (0.128105) | 0.415606 / 0.283200 (0.132406) | 0.027475 / 0.141683 (-0.114207) | 1.740413 / 1.452155 (0.288258) | 1.862210 / 1.492716 (0.369493) |

### 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) | 0.260064 / 0.018006 (0.242058) | 0.499001 / 0.000490 (0.498511) | 0.015811 / 0.000200 (0.015611) | 0.000119 / 0.000054 (0.000065) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.033599 / 0.037411 (-0.003812) | 0.099354 / 0.014526 (0.084828) | 0.114693 / 0.176557 (-0.061864) | 0.180231 / 0.737135 (-0.556904) | 0.114715 / 0.296338 (-0.181623) |

### 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) | 0.459884 / 0.215209 (0.244675) | 4.580806 / 2.077655 (2.503151) | 2.270770 / 1.504120 (0.766650) | 2.077127 / 1.541195 (0.535932) | 2.167175 / 1.468490 (0.698685) | 0.570593 / 4.584777 (-4.014184) | 4.120926 / 3.745712 (0.375214) | 3.817595 / 5.269862 (-1.452267) | 2.404782 / 4.565676 (-2.160894) | 0.067972 / 0.424275 (-0.356304) | 0.009378 / 0.007607 (0.001771) | 0.549642 / 0.226044 (0.323597) | 5.490369 / 2.268929 (3.221440) | 2.905264 / 55.444624 (-52.539361) | 2.452935 / 6.876477 (-4.423542) | 2.700760 / 2.142072 (0.558688) | 0.700407 / 4.805227 (-4.104820) | 0.159349 / 6.500664 (-6.341315) | 0.074605 / 0.075469 (-0.000864) |

### 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) | 1.517803 / 1.841788 (-0.323985) | 22.343700 / 8.074308 (14.269392) | 16.411639 / 10.191392 (6.220247) | 0.169816 / 0.680424 (-0.510608) | 0.021532 / 0.534201 (-0.512668) | 0.470161 / 0.579283 (-0.109122) | 0.473412 / 0.434364 (0.039048) | 0.539690 / 0.540337 (-0.000647) | 0.774011 / 1.386936 (-0.612925) |

</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) | 0.007629 / 0.011353 (-0.003724) | 0.004651 / 0.011008 (-0.006357) | 0.075162 / 0.038508 (0.036654) | 0.085365 / 0.023109 (0.062256) | 0.493272 / 0.275898 (0.217374) | 0.535776 / 0.323480 (0.212296) | 0.006323 / 0.007986 (-0.001663) | 0.003785 / 0.004328 (-0.000544) | 0.076161 / 0.004250 (0.071911) | 0.065982 / 0.037052 (0.028929) | 0.513355 / 0.258489 (0.254866) | 0.549219 / 0.293841 (0.255378) | 0.038052 / 0.128546 (-0.090494) | 0.010055 / 0.075646 (-0.065592) | 0.083744 / 0.419271 (-0.335527) | 0.056708 / 0.043533 (0.013175) | 0.496273 / 0.255139 (0.241135) | 0.523709 / 0.283200 (0.240509) | 0.026502 / 0.141683 (-0.115181) | 1.793032 / 1.452155 (0.340877) | 1.870534 / 1.492716 (0.377817) |

### 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) | 0.252288 / 0.018006 (0.234281) | 0.490380 / 0.000490 (0.489890) | 0.005884 / 0.000200 (0.005684) | 0.000109 / 0.000054 (0.000054) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.038238 / 0.037411 (0.000827) | 0.110010 / 0.014526 (0.095485) | 0.125497 / 0.176557 (-0.051059) | 0.188154 / 0.737135 (-0.548981) | 0.126112 / 0.296338 (-0.170227) |

### 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) | 0.515837 / 0.215209 (0.300628) | 5.135153 / 2.077655 (3.057498) | 2.761740 / 1.504120 (1.257620) | 2.552718 / 1.541195 (1.011523) | 2.636425 / 1.468490 (1.167935) | 0.588442 / 4.584777 (-3.996335) | 4.220833 / 3.745712 (0.475120) | 3.874637 / 5.269862 (-1.395225) | 2.424668 / 4.565676 (-2.141009) | 0.069979 / 0.424275 (-0.354296) | 0.009349 / 0.007607 (0.001742) | 0.608936 / 0.226044 (0.382891) | 6.081209 / 2.268929 (3.812280) | 3.348067 / 55.444624 (-52.096557) | 2.919130 / 6.876477 (-3.957347) | 3.159093 / 2.142072 (1.017020) | 0.704059 / 4.805227 (-4.101169) | 0.158417 / 6.500664 (-6.342247) | 0.071321 / 0.075469 (-0.004148) |

### 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) | 1.595287 / 1.841788 (-0.246501) | 23.096619 / 8.074308 (15.022311) | 17.258041 / 10.191392 (7.066649) | 0.186197 / 0.680424 (-0.494227) | 0.023633 / 0.534201 (-0.510567) | 0.472181 / 0.579283 (-0.107102) | 0.493817 / 0.434364 (0.059453) | 0.567657 / 0.540337 (0.027320) | 0.793789 / 1.386936 (-0.593147) |

</details>
</details>

![](https://cml.dev/watermark.png#e0bd8444689c5d82344a62ddf79e5dc103fc67b8 "CML watermark")

2023-09-17T22:56:35Z
https://github.com/huggingface/datasets/pull/6244#issuecomment-1722589192
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<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) | 0.007084 / 0.011353 (-0.004268) | 0.004093 / 0.011008 (-0.006915) | 0.086395 / 0.038508 (0.047887) | 0.087734 / 0.023109 (0.064625) | 0.356936 / 0.275898 (0.081038) | 0.386413 / 0.323480 (0.062933) | 0.005531 / 0.007986 (-0.002454) | 0.003462 / 0.004328 (-0.000866) | 0.065503 / 0.004250 (0.061252) | 0.058973 / 0.037052 (0.021920) | 0.354151 / 0.258489 (0.095662) | 0.398812 / 0.293841 (0.104971) | 0.031508 / 0.128546 (-0.097038) | 0.008537 / 0.075646 (-0.067109) | 0.290942 / 0.419271 (-0.128329) | 0.053537 / 0.043533 (0.010004) | 0.352067 / 0.255139 (0.096928) | 0.375142 / 0.283200 (0.091943) | 0.025658 / 0.141683 (-0.116025) | 1.468496 / 1.452155 (0.016341) | 1.556926 / 1.492716 (0.064210) |

### 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) | 0.238858 / 0.018006 (0.220852) | 0.460018 / 0.000490 (0.459528) | 0.009613 / 0.000200 (0.009414) | 0.000326 / 0.000054 (0.000272) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.030333 / 0.037411 (-0.007078) | 0.088431 / 0.014526 (0.073905) | 0.098130 / 0.176557 (-0.078427) | 0.155160 / 0.737135 (-0.581975) | 0.099963 / 0.296338 (-0.196375) |

### 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) | 0.385769 / 0.215209 (0.170560) | 3.836723 / 2.077655 (1.759069) | 1.861065 / 1.504120 (0.356945) | 1.685159 / 1.541195 (0.143965) | 1.780679 / 1.468490 (0.312189) | 0.491865 / 4.584777 (-4.092912) | 3.581139 / 3.745712 (-0.164573) | 3.366278 / 5.269862 (-1.903584) | 2.093094 / 4.565676 (-2.472583) | 0.058063 / 0.424275 (-0.366212) | 0.007903 / 0.007607 (0.000296) | 0.464866 / 0.226044 (0.238821) | 4.647754 / 2.268929 (2.378825) | 2.316466 / 55.444624 (-53.128158) | 1.984079 / 6.876477 (-4.892398) | 2.235020 / 2.142072 (0.092948) | 0.592591 / 4.805227 (-4.212636) | 0.135586 / 6.500664 (-6.365078) | 0.061434 / 0.075469 (-0.014035) |

### 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) | 1.282940 / 1.841788 (-0.558848) | 19.635975 / 8.074308 (11.561667) | 14.426135 / 10.191392 (4.234743) | 0.166732 / 0.680424 (-0.513692) | 0.018438 / 0.534201 (-0.515763) | 0.393173 / 0.579283 (-0.186110) | 0.417291 / 0.434364 (-0.017073) | 0.459188 / 0.540337 (-0.081149) | 0.632568 / 1.386936 (-0.754368) |

</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) | 0.007166 / 0.011353 (-0.004187) | 0.004254 / 0.011008 (-0.006754) | 0.064667 / 0.038508 (0.026159) | 0.085142 / 0.023109 (0.062033) | 0.410081 / 0.275898 (0.134183) | 0.445803 / 0.323480 (0.122323) | 0.005600 / 0.007986 (-0.002385) | 0.003520 / 0.004328 (-0.000809) | 0.064148 / 0.004250 (0.059897) | 0.059869 / 0.037052 (0.022817) | 0.407439 / 0.258489 (0.148950) | 0.451169 / 0.293841 (0.157329) | 0.032619 / 0.128546 (-0.095927) | 0.008706 / 0.075646 (-0.066940) | 0.071230 / 0.419271 (-0.348041) | 0.048499 / 0.043533 (0.004966) | 0.416401 / 0.255139 (0.161262) | 0.430737 / 0.283200 (0.147537) | 0.022511 / 0.141683 (-0.119172) | 1.517296 / 1.452155 (0.065141) | 1.581704 / 1.492716 (0.088988) |

### 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) | 0.220738 / 0.018006 (0.202732) | 0.454026 / 0.000490 (0.453536) | 0.004695 / 0.000200 (0.004495) | 0.000087 / 0.000054 (0.000033) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.033202 / 0.037411 (-0.004209) | 0.097506 / 0.014526 (0.082980) | 0.106661 / 0.176557 (-0.069896) | 0.160554 / 0.737135 (-0.576581) | 0.109203 / 0.296338 (-0.187135) |

### 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) | 0.432013 / 0.215209 (0.216804) | 4.310399 / 2.077655 (2.232744) | 2.296529 / 1.504120 (0.792409) | 2.139929 / 1.541195 (0.598734) | 2.227432 / 1.468490 (0.758942) | 0.493697 / 4.584777 (-4.091080) | 3.639877 / 3.745712 (-0.105835) | 3.323165 / 5.269862 (-1.946697) | 2.084527 / 4.565676 (-2.481150) | 0.058812 / 0.424275 (-0.365463) | 0.007813 / 0.007607 (0.000206) | 0.512366 / 0.226044 (0.286321) | 5.119660 / 2.268929 (2.850732) | 2.783819 / 55.444624 (-52.660806) | 2.490669 / 6.876477 (-4.385808) | 2.696653 / 2.142072 (0.554581) | 0.627161 / 4.805227 (-4.178066) | 0.137032 / 6.500664 (-6.363632) | 0.064040 / 0.075469 (-0.011429) |

### 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) | 1.369578 / 1.841788 (-0.472210) | 20.421182 / 8.074308 (12.346873) | 15.719347 / 10.191392 (5.527955) | 0.166150 / 0.680424 (-0.514274) | 0.020262 / 0.534201 (-0.513939) | 0.395645 / 0.579283 (-0.183638) | 0.430363 / 0.434364 (-0.004001) | 0.477843 / 0.540337 (-0.062494) | 0.638501 / 1.386936 (-0.748435) |

</details>
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<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) | 0.006141 / 0.011353 (-0.005211) | 0.003683 / 0.011008 (-0.007325) | 0.081127 / 0.038508 (0.042618) | 0.064285 / 0.023109 (0.041176) | 0.323038 / 0.275898 (0.047140) | 0.347280 / 0.323480 (0.023800) | 0.003518 / 0.007986 (-0.004467) | 0.002958 / 0.004328 (-0.001370) | 0.063093 / 0.004250 (0.058843) | 0.050682 / 0.037052 (0.013629) | 0.321222 / 0.258489 (0.062733) | 0.359266 / 0.293841 (0.065425) | 0.027515 / 0.128546 (-0.101032) | 0.007964 / 0.075646 (-0.067682) | 0.261305 / 0.419271 (-0.157966) | 0.044897 / 0.043533 (0.001365) | 0.320684 / 0.255139 (0.065545) | 0.335722 / 0.283200 (0.052522) | 0.023378 / 0.141683 (-0.118305) | 1.418211 / 1.452155 (-0.033943) | 1.523728 / 1.492716 (0.031011) |

### 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) | 0.222316 / 0.018006 (0.204310) | 0.426943 / 0.000490 (0.426454) | 0.008785 / 0.000200 (0.008585) | 0.000081 / 0.000054 (0.000026) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.024716 / 0.037411 (-0.012695) | 0.075341 / 0.014526 (0.060816) | 0.089532 / 0.176557 (-0.087024) | 0.147638 / 0.737135 (-0.589498) | 0.085697 / 0.296338 (-0.210641) |

### 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) | 0.396395 / 0.215209 (0.181186) | 3.947280 / 2.077655 (1.869625) | 1.894762 / 1.504120 (0.390642) | 1.712094 / 1.541195 (0.170899) | 1.779049 / 1.468490 (0.310559) | 0.509206 / 4.584777 (-4.075571) | 3.073951 / 3.745712 (-0.671761) | 2.886826 / 5.269862 (-2.383035) | 1.894444 / 4.565676 (-2.671232) | 0.059519 / 0.424275 (-0.364756) | 0.006951 / 0.007607 (-0.000656) | 0.468213 / 0.226044 (0.242169) | 4.667134 / 2.268929 (2.398206) | 2.342516 / 55.444624 (-53.102108) | 1.992047 / 6.876477 (-4.884430) | 2.142059 / 2.142072 (-0.000014) | 0.600507 / 4.805227 (-4.204720) | 0.128982 / 6.500664 (-6.371682) | 0.062100 / 0.075469 (-0.013369) |

### 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) | 1.234500 / 1.841788 (-0.607288) | 17.951646 / 8.074308 (9.877338) | 13.862763 / 10.191392 (3.671371) | 0.143133 / 0.680424 (-0.537291) | 0.016643 / 0.534201 (-0.517558) | 0.333174 / 0.579283 (-0.246109) | 0.366956 / 0.434364 (-0.067408) | 0.384569 / 0.540337 (-0.155769) | 0.546830 / 1.386936 (-0.840106) |

</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) | 0.006146 / 0.011353 (-0.005207) | 0.003725 / 0.011008 (-0.007283) | 0.062099 / 0.038508 (0.023591) | 0.064117 / 0.023109 (0.041008) | 0.456100 / 0.275898 (0.180202) | 0.490794 / 0.323480 (0.167314) | 0.005652 / 0.007986 (-0.002334) | 0.002897 / 0.004328 (-0.001432) | 0.061909 / 0.004250 (0.057659) | 0.050634 / 0.037052 (0.013582) | 0.454422 / 0.258489 (0.195933) | 0.493208 / 0.293841 (0.199367) | 0.028822 / 0.128546 (-0.099724) | 0.008115 / 0.075646 (-0.067531) | 0.067214 / 0.419271 (-0.352058) | 0.041529 / 0.043533 (-0.002004) | 0.458016 / 0.255139 (0.202877) | 0.476059 / 0.283200 (0.192859) | 0.019926 / 0.141683 (-0.121757) | 1.465345 / 1.452155 (0.013190) | 1.533518 / 1.492716 (0.040802) |

### 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) | 0.218830 / 0.018006 (0.200823) | 0.418869 / 0.000490 (0.418380) | 0.005154 / 0.000200 (0.004954) | 0.000080 / 0.000054 (0.000026) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.027648 / 0.037411 (-0.009763) | 0.083842 / 0.014526 (0.069316) | 0.092300 / 0.176557 (-0.084257) | 0.146098 / 0.737135 (-0.591037) | 0.093441 / 0.296338 (-0.202898) |

### 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) | 0.464426 / 0.215209 (0.249217) | 4.632705 / 2.077655 (2.555051) | 2.642091 / 1.504120 (1.137971) | 2.461768 / 1.541195 (0.920573) | 2.535554 / 1.468490 (1.067064) | 0.507506 / 4.584777 (-4.077271) | 3.095485 / 3.745712 (-0.650227) | 2.884261 / 5.269862 (-2.385601) | 1.908943 / 4.565676 (-2.656734) | 0.058622 / 0.424275 (-0.365653) | 0.006892 / 0.007607 (-0.000715) | 0.536045 / 0.226044 (0.310001) | 5.377448 / 2.268929 (3.108519) | 3.076023 / 55.444624 (-52.368602) | 2.745586 / 6.876477 (-4.130890) | 2.939582 / 2.142072 (0.797510) | 0.595639 / 4.805227 (-4.209589) | 0.125086 / 6.500664 (-6.375578) | 0.061075 / 0.075469 (-0.014394) |

### 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) | 1.342820 / 1.841788 (-0.498968) | 18.326240 / 8.074308 (10.251932) | 15.007094 / 10.191392 (4.815702) | 0.133037 / 0.680424 (-0.547387) | 0.018702 / 0.534201 (-0.515499) | 0.330245 / 0.579283 (-0.249038) | 0.381494 / 0.434364 (-0.052870) | 0.393705 / 0.540337 (-0.146633) | 0.533676 / 1.386936 (-0.853260) |

</details>
</details>

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2023-09-18T19:05:42Z
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<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) | 0.007644 / 0.011353 (-0.003709) | 0.004759 / 0.011008 (-0.006249) | 0.100569 / 0.038508 (0.062061) | 0.089645 / 0.023109 (0.066536) | 0.376679 / 0.275898 (0.100781) | 0.413214 / 0.323480 (0.089735) | 0.006087 / 0.007986 (-0.001899) | 0.003832 / 0.004328 (-0.000496) | 0.075892 / 0.004250 (0.071641) | 0.064635 / 0.037052 (0.027582) | 0.376874 / 0.258489 (0.118385) | 0.436756 / 0.293841 (0.142915) | 0.036372 / 0.128546 (-0.092174) | 0.010047 / 0.075646 (-0.065599) | 0.345073 / 0.419271 (-0.074198) | 0.062092 / 0.043533 (0.018559) | 0.380503 / 0.255139 (0.125364) | 0.414800 / 0.283200 (0.131600) | 0.028274 / 0.141683 (-0.113409) | 1.732463 / 1.452155 (0.280308) | 1.859049 / 1.492716 (0.366333) |

### 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) | 0.267129 / 0.018006 (0.249123) | 0.509109 / 0.000490 (0.508619) | 0.012329 / 0.000200 (0.012130) | 0.000432 / 0.000054 (0.000377) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.033773 / 0.037411 (-0.003638) | 0.102800 / 0.014526 (0.088274) | 0.114256 / 0.176557 (-0.062300) | 0.182048 / 0.737135 (-0.555087) | 0.118225 / 0.296338 (-0.178113) |

### 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) | 0.457553 / 0.215209 (0.242344) | 4.588212 / 2.077655 (2.510557) | 2.184138 / 1.504120 (0.680018) | 2.003570 / 1.541195 (0.462375) | 2.093217 / 1.468490 (0.624727) | 0.585679 / 4.584777 (-3.999098) | 4.175319 / 3.745712 (0.429607) | 3.914168 / 5.269862 (-1.355693) | 2.452992 / 4.565676 (-2.112684) | 0.068363 / 0.424275 (-0.355912) | 0.009314 / 0.007607 (0.001707) | 0.543640 / 0.226044 (0.317595) | 5.440853 / 2.268929 (3.171925) | 2.782415 / 55.444624 (-52.662210) | 2.332359 / 6.876477 (-4.544118) | 2.628520 / 2.142072 (0.486448) | 0.696838 / 4.805227 (-4.108389) | 0.160653 / 6.500664 (-6.340012) | 0.075599 / 0.075469 (0.000130) |

### 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) | 1.545305 / 1.841788 (-0.296483) | 23.073174 / 8.074308 (14.998866) | 16.974977 / 10.191392 (6.783585) | 0.183719 / 0.680424 (-0.496705) | 0.021633 / 0.534201 (-0.512568) | 0.471202 / 0.579283 (-0.108081) | 0.479385 / 0.434364 (0.045021) | 0.550872 / 0.540337 (0.010535) | 0.766825 / 1.386936 (-0.620111) |

</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) | 0.007918 / 0.011353 (-0.003435) | 0.004793 / 0.011008 (-0.006215) | 0.077273 / 0.038508 (0.038765) | 0.092079 / 0.023109 (0.068969) | 0.483269 / 0.275898 (0.207371) | 0.524919 / 0.323480 (0.201439) | 0.006273 / 0.007986 (-0.001713) | 0.004018 / 0.004328 (-0.000310) | 0.077188 / 0.004250 (0.072937) | 0.067891 / 0.037052 (0.030839) | 0.478531 / 0.258489 (0.220042) | 0.526956 / 0.293841 (0.233115) | 0.038309 / 0.128546 (-0.090237) | 0.010133 / 0.075646 (-0.065513) | 0.083892 / 0.419271 (-0.335379) | 0.057369 / 0.043533 (0.013836) | 0.509427 / 0.255139 (0.254288) | 0.506574 / 0.283200 (0.223374) | 0.027987 / 0.141683 (-0.113696) | 1.897469 / 1.452155 (0.445314) | 1.893102 / 1.492716 (0.400385) |

### 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) | 0.243003 / 0.018006 (0.224997) | 0.500267 / 0.000490 (0.499777) | 0.007442 / 0.000200 (0.007242) | 0.000110 / 0.000054 (0.000055) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.039266 / 0.037411 (0.001855) | 0.114438 / 0.014526 (0.099912) | 0.124528 / 0.176557 (-0.052029) | 0.189399 / 0.737135 (-0.547736) | 0.126703 / 0.296338 (-0.169635) |

### 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) | 0.518139 / 0.215209 (0.302930) | 5.162058 / 2.077655 (3.084403) | 2.835111 / 1.504120 (1.330991) | 2.640919 / 1.541195 (1.099724) | 2.736800 / 1.468490 (1.268310) | 0.582813 / 4.584777 (-4.001964) | 4.246269 / 3.745712 (0.500557) | 3.891161 / 5.269862 (-1.378701) | 2.445392 / 4.565676 (-2.120285) | 0.068943 / 0.424275 (-0.355332) | 0.009248 / 0.007607 (0.001641) | 0.604859 / 0.226044 (0.378815) | 6.030660 / 2.268929 (3.761731) | 3.409778 / 55.444624 (-52.034846) | 2.990488 / 6.876477 (-3.885988) | 3.281317 / 2.142072 (1.139245) | 0.697705 / 4.805227 (-4.107523) | 0.159502 / 6.500664 (-6.341162) | 0.072471 / 0.075469 (-0.002999) |

### 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) | 1.625428 / 1.841788 (-0.216360) | 23.602509 / 8.074308 (15.528201) | 18.091474 / 10.191392 (7.900082) | 0.172816 / 0.680424 (-0.507608) | 0.023708 / 0.534201 (-0.510493) | 0.473768 / 0.579283 (-0.105515) | 0.493713 / 0.434364 (0.059349) | 0.566326 / 0.540337 (0.025989) | 0.788670 / 1.386936 (-0.598266) |

</details>
</details>

![](https://cml.dev/watermark.png#1ee2359c17ccb35b57e195f2bfe8478f49630039 "CML watermark")

2023-09-19T15:09:35Z
https://github.com/huggingface/datasets/pull/6244#issuecomment-1725839865
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> Thanks. Any comment on my comment below?
> 
> >Maybe we should update the docstring of get_data_patterns accordingly? Currently it only gives examples of outputs with ** not in a single path segment (i.e. not with a / as prefix or suffix).

Yea right we need to update it indeed, the outputs are the ones from older versions of fsspec, and from older patterns that we don't use anymore.

In general in docstrings I also think we should encourage users to use `**/*` instead of `**` (which has a behavior that is unique to fsspec)
2023-09-20T15:37:10Z
https://github.com/huggingface/datasets/pull/6244#issuecomment-1727970380
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Also just noticed that `KEYWORDS_IN_DIR_NAME_BASE_PATTERNS` seems to include `KEYWORDS_IN_FILENAME_BASE_PATTERNS`. I guess we can try to remove the filename one in another PR to remove this redundancy 

(noticed this by checking that the data pattern is the same for both the dir name and filename examples in the get_data_patterns docstring)
2023-09-20T15:54:39Z
https://github.com/huggingface/datasets/pull/6244#issuecomment-1728000175
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<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) | 0.006922 / 0.011353 (-0.004431) | 0.004459 / 0.011008 (-0.006549) | 0.084742 / 0.038508 (0.046234) | 0.089002 / 0.023109 (0.065893) | 0.310886 / 0.275898 (0.034988) | 0.340518 / 0.323480 (0.017038) | 0.007011 / 0.007986 (-0.000975) | 0.004566 / 0.004328 (0.000237) | 0.067260 / 0.004250 (0.063009) | 0.066349 / 0.037052 (0.029297) | 0.324029 / 0.258489 (0.065540) | 0.373785 / 0.293841 (0.079944) | 0.031780 / 0.128546 (-0.096766) | 0.009208 / 0.075646 (-0.066438) | 0.288871 / 0.419271 (-0.130401) | 0.054548 / 0.043533 (0.011015) | 0.313344 / 0.255139 (0.058205) | 0.336430 / 0.283200 (0.053231) | 0.029037 / 0.141683 (-0.112646) | 1.483797 / 1.452155 (0.031642) | 1.581884 / 1.492716 (0.089167) |

### 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) | 0.370520 / 0.018006 (0.352514) | 0.796720 / 0.000490 (0.796230) | 0.009329 / 0.000200 (0.009129) | 0.000109 / 0.000054 (0.000055) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.033002 / 0.037411 (-0.004410) | 0.083442 / 0.014526 (0.068916) | 0.106468 / 0.176557 (-0.070088) | 0.165315 / 0.737135 (-0.571820) | 0.103048 / 0.296338 (-0.193291) |

### 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) | 0.386800 / 0.215209 (0.171591) | 3.843312 / 2.077655 (1.765658) | 1.848953 / 1.504120 (0.344834) | 1.679508 / 1.541195 (0.138313) | 1.733578 / 1.468490 (0.265088) | 0.488455 / 4.584777 (-4.096322) | 3.613594 / 3.745712 (-0.132118) | 3.533334 / 5.269862 (-1.736528) | 2.176216 / 4.565676 (-2.389460) | 0.056915 / 0.424275 (-0.367360) | 0.007349 / 0.007607 (-0.000258) | 0.465132 / 0.226044 (0.239088) | 4.638479 / 2.268929 (2.369550) | 2.354741 / 55.444624 (-53.089883) | 1.991777 / 6.876477 (-4.884700) | 2.249823 / 2.142072 (0.107751) | 0.582748 / 4.805227 (-4.222480) | 0.133829 / 6.500664 (-6.366835) | 0.060949 / 0.075469 (-0.014520) |

### 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) | 1.252027 / 1.841788 (-0.589760) | 20.660234 / 8.074308 (12.585926) | 14.328496 / 10.191392 (4.137104) | 0.164872 / 0.680424 (-0.515552) | 0.018867 / 0.534201 (-0.515334) | 0.392850 / 0.579283 (-0.186433) | 0.425684 / 0.434364 (-0.008679) | 0.461776 / 0.540337 (-0.078562) | 0.663688 / 1.386936 (-0.723248) |

</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) | 0.007010 / 0.011353 (-0.004343) | 0.004791 / 0.011008 (-0.006217) | 0.064738 / 0.038508 (0.026230) | 0.088648 / 0.023109 (0.065539) | 0.418106 / 0.275898 (0.142208) | 0.446767 / 0.323480 (0.123287) | 0.006761 / 0.007986 (-0.001224) | 0.004649 / 0.004328 (0.000320) | 0.066345 / 0.004250 (0.062094) | 0.068326 / 0.037052 (0.031274) | 0.423426 / 0.258489 (0.164937) | 0.463160 / 0.293841 (0.169319) | 0.032689 / 0.128546 (-0.095858) | 0.009299 / 0.075646 (-0.066347) | 0.071321 / 0.419271 (-0.347951) | 0.048752 / 0.043533 (0.005219) | 0.418932 / 0.255139 (0.163793) | 0.440673 / 0.283200 (0.157473) | 0.027898 / 0.141683 (-0.113785) | 1.531860 / 1.452155 (0.079705) | 1.620456 / 1.492716 (0.127739) |

### 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) | 0.354917 / 0.018006 (0.336911) | 0.792432 / 0.000490 (0.791943) | 0.006626 / 0.000200 (0.006426) | 0.000124 / 0.000054 (0.000070) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.036190 / 0.037411 (-0.001222) | 0.093052 / 0.014526 (0.078526) | 0.111927 / 0.176557 (-0.064629) | 0.165571 / 0.737135 (-0.571564) | 0.112159 / 0.296338 (-0.184180) |

### 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) | 0.437798 / 0.215209 (0.222589) | 4.367166 / 2.077655 (2.289511) | 2.343292 / 1.504120 (0.839172) | 2.169298 / 1.541195 (0.628103) | 2.224471 / 1.468490 (0.755981) | 0.487317 / 4.584777 (-4.097460) | 3.627825 / 3.745712 (-0.117887) | 3.500914 / 5.269862 (-1.768947) | 2.175862 / 4.565676 (-2.389815) | 0.057975 / 0.424275 (-0.366300) | 0.007509 / 0.007607 (-0.000098) | 0.517389 / 0.226044 (0.291345) | 5.169694 / 2.268929 (2.900766) | 2.850993 / 55.444624 (-52.593631) | 2.473111 / 6.876477 (-4.403366) | 2.746731 / 2.142072 (0.604659) | 0.586597 / 4.805227 (-4.218630) | 0.134082 / 6.500664 (-6.366582) | 0.061035 / 0.075469 (-0.014434) |

### 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) | 1.375186 / 1.841788 (-0.466602) | 20.960817 / 8.074308 (12.886509) | 15.035071 / 10.191392 (4.843679) | 0.169494 / 0.680424 (-0.510930) | 0.020654 / 0.534201 (-0.513547) | 0.398047 / 0.579283 (-0.181236) | 0.438117 / 0.434364 (0.003753) | 0.483896 / 0.540337 (-0.056441) | 0.690728 / 1.386936 (-0.696208) |

</details>
</details>

![](https://cml.dev/watermark.png#3e7fc64af912e5fcdcf949ed09d954332f0ae94a "CML watermark")

2023-09-22T16:22:06Z
https://github.com/huggingface/datasets/pull/6244#issuecomment-1731699967
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<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) | 0.006892 / 0.011353 (-0.004461) | 0.004087 / 0.011008 (-0.006921) | 0.084695 / 0.038508 (0.046187) | 0.078084 / 0.023109 (0.054975) | 0.322976 / 0.275898 (0.047078) | 0.355332 / 0.323480 (0.031852) | 0.004235 / 0.007986 (-0.003750) | 0.003450 / 0.004328 (-0.000879) | 0.065355 / 0.004250 (0.061104) | 0.058593 / 0.037052 (0.021541) | 0.335761 / 0.258489 (0.077272) | 0.370392 / 0.293841 (0.076551) | 0.031720 / 0.128546 (-0.096827) | 0.008611 / 0.075646 (-0.067036) | 0.288213 / 0.419271 (-0.131059) | 0.053374 / 0.043533 (0.009842) | 0.321863 / 0.255139 (0.066724) | 0.341587 / 0.283200 (0.058387) | 0.025694 / 0.141683 (-0.115989) | 1.470502 / 1.452155 (0.018348) | 1.565068 / 1.492716 (0.072352) |

### 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) | 0.231063 / 0.018006 (0.213057) | 0.464996 / 0.000490 (0.464506) | 0.007316 / 0.000200 (0.007116) | 0.000288 / 0.000054 (0.000233) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.029244 / 0.037411 (-0.008167) | 0.086303 / 0.014526 (0.071777) | 0.097281 / 0.176557 (-0.079276) | 0.153552 / 0.737135 (-0.583583) | 0.098488 / 0.296338 (-0.197850) |

### 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) | 0.382753 / 0.215209 (0.167544) | 3.826503 / 2.077655 (1.748848) | 1.848439 / 1.504120 (0.344319) | 1.688519 / 1.541195 (0.147324) | 1.787867 / 1.468490 (0.319377) | 0.489708 / 4.584777 (-4.095069) | 3.576780 / 3.745712 (-0.168932) | 3.341536 / 5.269862 (-1.928325) | 2.108787 / 4.565676 (-2.456889) | 0.057409 / 0.424275 (-0.366866) | 0.007325 / 0.007607 (-0.000282) | 0.459536 / 0.226044 (0.233492) | 4.590609 / 2.268929 (2.321681) | 2.313005 / 55.444624 (-53.131620) | 1.972389 / 6.876477 (-4.904087) | 2.218511 / 2.142072 (0.076439) | 0.613817 / 4.805227 (-4.191410) | 0.133846 / 6.500664 (-6.366818) | 0.062190 / 0.075469 (-0.013279) |

### 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) | 1.279860 / 1.841788 (-0.561928) | 19.549777 / 8.074308 (11.475469) | 14.225844 / 10.191392 (4.034452) | 0.164682 / 0.680424 (-0.515741) | 0.018321 / 0.534201 (-0.515880) | 0.389874 / 0.579283 (-0.189409) | 0.408597 / 0.434364 (-0.025767) | 0.454327 / 0.540337 (-0.086011) | 0.645571 / 1.386936 (-0.741365) |

</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) | 0.007021 / 0.011353 (-0.004332) | 0.004119 / 0.011008 (-0.006889) | 0.065393 / 0.038508 (0.026885) | 0.085005 / 0.023109 (0.061896) | 0.412221 / 0.275898 (0.136323) | 0.438266 / 0.323480 (0.114786) | 0.005594 / 0.007986 (-0.002392) | 0.003499 / 0.004328 (-0.000829) | 0.065053 / 0.004250 (0.060802) | 0.060608 / 0.037052 (0.023555) | 0.413938 / 0.258489 (0.155449) | 0.446192 / 0.293841 (0.152351) | 0.032232 / 0.128546 (-0.096314) | 0.008617 / 0.075646 (-0.067029) | 0.071296 / 0.419271 (-0.347976) | 0.048756 / 0.043533 (0.005223) | 0.404977 / 0.255139 (0.149838) | 0.426801 / 0.283200 (0.143602) | 0.023650 / 0.141683 (-0.118033) | 1.526928 / 1.452155 (0.074773) | 1.627504 / 1.492716 (0.134787) |

### 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) | 0.224318 / 0.018006 (0.206312) | 0.469717 / 0.000490 (0.469227) | 0.005539 / 0.000200 (0.005339) | 0.000098 / 0.000054 (0.000043) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.034240 / 0.037411 (-0.003171) | 0.096449 / 0.014526 (0.081923) | 0.107309 / 0.176557 (-0.069247) | 0.160246 / 0.737135 (-0.576889) | 0.107595 / 0.296338 (-0.188743) |

### 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) | 0.434266 / 0.215209 (0.219057) | 4.325571 / 2.077655 (2.247916) | 2.324066 / 1.504120 (0.819946) | 2.140238 / 1.541195 (0.599044) | 2.244593 / 1.468490 (0.776103) | 0.486259 / 4.584777 (-4.098518) | 3.644120 / 3.745712 (-0.101592) | 3.372330 / 5.269862 (-1.897531) | 2.074779 / 4.565676 (-2.490897) | 0.057154 / 0.424275 (-0.367121) | 0.007304 / 0.007607 (-0.000303) | 0.516944 / 0.226044 (0.290899) | 5.174300 / 2.268929 (2.905372) | 2.816269 / 55.444624 (-52.628356) | 2.462943 / 6.876477 (-4.413534) | 2.735851 / 2.142072 (0.593779) | 0.589028 / 4.805227 (-4.216200) | 0.131804 / 6.500664 (-6.368860) | 0.060173 / 0.075469 (-0.015296) |

### 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) | 1.354540 / 1.841788 (-0.487248) | 20.436511 / 8.074308 (12.362203) | 15.541981 / 10.191392 (5.350589) | 0.168399 / 0.680424 (-0.512025) | 0.020716 / 0.534201 (-0.513485) | 0.396275 / 0.579283 (-0.183008) | 0.427232 / 0.434364 (-0.007132) | 0.475121 / 0.540337 (-0.065216) | 0.648579 / 1.386936 (-0.738357) |

</details>
</details>

![](https://cml.dev/watermark.png#4fa138fc0d9aa1536194fd46566840e698ccde03 "CML watermark")

2023-09-22T17:20:45Z
https://github.com/huggingface/datasets/pull/6244#issuecomment-1731777940
https://api.github.com/repos/huggingface/datasets/issues/6244
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2023-09-22T17:20:45Z
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<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) | 0.009071 / 0.011353 (-0.002282) | 0.005820 / 0.011008 (-0.005188) | 0.119974 / 0.038508 (0.081466) | 0.092145 / 0.023109 (0.069036) | 0.445349 / 0.275898 (0.169451) | 0.442488 / 0.323480 (0.119008) | 0.005352 / 0.007986 (-0.002634) | 0.004332 / 0.004328 (0.000003) | 0.084397 / 0.004250 (0.080147) | 0.064624 / 0.037052 (0.027572) | 0.430938 / 0.258489 (0.172448) | 0.503574 / 0.293841 (0.209733) | 0.047900 / 0.128546 (-0.080647) | 0.014237 / 0.075646 (-0.061409) | 0.366145 / 0.419271 (-0.053127) | 0.066344 / 0.043533 (0.022811) | 0.424582 / 0.255139 (0.169443) | 0.451845 / 0.283200 (0.168646) | 0.041409 / 0.141683 (-0.100274) | 1.886998 / 1.452155 (0.434843) | 2.011676 / 1.492716 (0.518960) |

### 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) | 0.301008 / 0.018006 (0.283001) | 0.608670 / 0.000490 (0.608180) | 0.011963 / 0.000200 (0.011763) | 0.000117 / 0.000054 (0.000063) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.031996 / 0.037411 (-0.005415) | 0.102274 / 0.014526 (0.087748) | 0.121437 / 0.176557 (-0.055120) | 0.181647 / 0.737135 (-0.555489) | 0.121634 / 0.296338 (-0.174704) |

### 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) | 0.597070 / 0.215209 (0.381861) | 5.973808 / 2.077655 (3.896154) | 2.486345 / 1.504120 (0.982225) | 2.125395 / 1.541195 (0.584201) | 2.270864 / 1.468490 (0.802374) | 0.880031 / 4.584777 (-3.704746) | 5.396522 / 3.745712 (1.650809) | 4.702005 / 5.269862 (-0.567857) | 3.023087 / 4.565676 (-1.542589) | 0.097093 / 0.424275 (-0.327182) | 0.008457 / 0.007607 (0.000850) | 0.712164 / 0.226044 (0.486120) | 7.112867 / 2.268929 (4.843938) | 3.364509 / 55.444624 (-52.080115) | 2.646953 / 6.876477 (-4.229524) | 2.795967 / 2.142072 (0.653894) | 1.067182 / 4.805227 (-3.738046) | 0.218297 / 6.500664 (-6.282368) | 0.071720 / 0.075469 (-0.003750) |

### 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) | 1.640477 / 1.841788 (-0.201311) | 24.875163 / 8.074308 (16.800855) | 22.125706 / 10.191392 (11.934314) | 0.247267 / 0.680424 (-0.433157) | 0.033717 / 0.534201 (-0.500484) | 0.492422 / 0.579283 (-0.086862) | 0.578323 / 0.434364 (0.143959) | 0.579503 / 0.540337 (0.039165) | 0.816721 / 1.386936 (-0.570215) |

</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) | 0.009372 / 0.011353 (-0.001981) | 0.005449 / 0.011008 (-0.005559) | 0.095371 / 0.038508 (0.056863) | 0.086320 / 0.023109 (0.063211) | 0.539573 / 0.275898 (0.263675) | 0.580338 / 0.323480 (0.256858) | 0.007028 / 0.007986 (-0.000958) | 0.004196 / 0.004328 (-0.000133) | 0.082710 / 0.004250 (0.078460) | 0.064336 / 0.037052 (0.027284) | 0.521490 / 0.258489 (0.263001) | 0.567942 / 0.293841 (0.274101) | 0.049659 / 0.128546 (-0.078887) | 0.017297 / 0.075646 (-0.058350) | 0.093874 / 0.419271 (-0.325398) | 0.061664 / 0.043533 (0.018131) | 0.524476 / 0.255139 (0.269337) | 0.563255 / 0.283200 (0.280055) | 0.039990 / 0.141683 (-0.101693) | 1.854438 / 1.452155 (0.402283) | 1.819321 / 1.492716 (0.326605) |

### 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) | 0.298817 / 0.018006 (0.280811) | 0.629381 / 0.000490 (0.628891) | 0.006259 / 0.000200 (0.006059) | 0.000690 / 0.000054 (0.000635) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.041009 / 0.037411 (0.003598) | 0.123845 / 0.014526 (0.109319) | 0.138606 / 0.176557 (-0.037951) | 0.215042 / 0.737135 (-0.522093) | 0.129572 / 0.296338 (-0.166767) |

### 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) | 0.668823 / 0.215209 (0.453614) | 6.596762 / 2.077655 (4.519108) | 3.275429 / 1.504120 (1.771309) | 2.921747 / 1.541195 (1.380553) | 2.963748 / 1.468490 (1.495258) | 0.897588 / 4.584777 (-3.687188) | 5.683618 / 3.745712 (1.937906) | 5.051102 / 5.269862 (-0.218760) | 3.178855 / 4.565676 (-1.386822) | 0.107446 / 0.424275 (-0.316829) | 0.008967 / 0.007607 (0.001360) | 0.785577 / 0.226044 (0.559532) | 8.236556 / 2.268929 (5.967628) | 3.914725 / 55.444624 (-51.529899) | 3.129068 / 6.876477 (-3.747409) | 3.368383 / 2.142072 (1.226310) | 1.004307 / 4.805227 (-3.800920) | 0.204788 / 6.500664 (-6.295876) | 0.078250 / 0.075469 (0.002780) |

### 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) | 1.778574 / 1.841788 (-0.063213) | 25.583659 / 8.074308 (17.509351) | 23.505866 / 10.191392 (13.314474) | 0.228759 / 0.680424 (-0.451665) | 0.038348 / 0.534201 (-0.495853) | 0.468980 / 0.579283 (-0.110303) | 0.630194 / 0.434364 (0.195830) | 0.587535 / 0.540337 (0.047198) | 0.831761 / 1.386936 (-0.555175) |

</details>
</details>

![](https://cml.dev/watermark.png#68f4f847f3248f02fc99458310d9d786906d7a6f "CML watermark")

2023-09-22T17:24:03Z
https://github.com/huggingface/datasets/pull/6244#issuecomment-1731781990
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COLLABORATOR
I've addressed the comments. Let me know if it looks all good now :)
2023-09-25T13:08:10Z
https://github.com/huggingface/datasets/pull/6244#issuecomment-1733678509
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Actually just found out that the current `**/*[-._ 0-9/]train[-._ 0-9/]**` doesn't match `data/train.csv` in bash (but does match in fsspec right now).

So there might be a risk that this pattern breaks in the future no ?
2023-09-25T17:23:45Z
https://github.com/huggingface/datasets/pull/6244#issuecomment-1734171408
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@lhoestq `fsspec` has tests to check their specific (non-posix) behavior, so I think merging in the current state is fine. And if  they make a breaking change in the future, we can align the patterns once again :) 
2023-09-26T14:08:53Z
https://github.com/huggingface/datasets/pull/6244#issuecomment-1735619869
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Yea after more thoughts I also think it's fine. Feel free to merge !
2023-09-26T15:07:56Z
https://github.com/huggingface/datasets/pull/6244#issuecomment-1735737554
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NONE
<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) | 0.006920 / 0.011353 (-0.004433) | 0.004182 / 0.011008 (-0.006826) | 0.084629 / 0.038508 (0.046121) | 0.086052 / 0.023109 (0.062943) | 0.326062 / 0.275898 (0.050164) | 0.344190 / 0.323480 (0.020710) | 0.005393 / 0.007986 (-0.002593) | 0.003410 / 0.004328 (-0.000918) | 0.064327 / 0.004250 (0.060076) | 0.056556 / 0.037052 (0.019504) | 0.319255 / 0.258489 (0.060766) | 0.357943 / 0.293841 (0.064102) | 0.032097 / 0.128546 (-0.096450) | 0.008778 / 0.075646 (-0.066868) | 0.291057 / 0.419271 (-0.128215) | 0.053225 / 0.043533 (0.009692) | 0.307713 / 0.255139 (0.052574) | 0.350058 / 0.283200 (0.066858) | 0.024380 / 0.141683 (-0.117303) | 1.459482 / 1.452155 (0.007328) | 1.555711 / 1.492716 (0.062994) |

### 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) | 0.239487 / 0.018006 (0.221480) | 0.467604 / 0.000490 (0.467114) | 0.010742 / 0.000200 (0.010542) | 0.000285 / 0.000054 (0.000230) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.029394 / 0.037411 (-0.008018) | 0.087404 / 0.014526 (0.072879) | 0.098701 / 0.176557 (-0.077855) | 0.154145 / 0.737135 (-0.582990) | 0.099726 / 0.296338 (-0.196612) |

### 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) | 0.389008 / 0.215209 (0.173799) | 3.873165 / 2.077655 (1.795510) | 1.860676 / 1.504120 (0.356556) | 1.679668 / 1.541195 (0.138474) | 1.782347 / 1.468490 (0.313857) | 0.489469 / 4.584777 (-4.095308) | 3.678706 / 3.745712 (-0.067006) | 3.404076 / 5.269862 (-1.865785) | 2.110972 / 4.565676 (-2.454704) | 0.057478 / 0.424275 (-0.366797) | 0.007443 / 0.007607 (-0.000164) | 0.464780 / 0.226044 (0.238736) | 4.643606 / 2.268929 (2.374678) | 2.355744 / 55.444624 (-53.088881) | 1.993992 / 6.876477 (-4.882485) | 2.245520 / 2.142072 (0.103447) | 0.592773 / 4.805227 (-4.212454) | 0.135369 / 6.500664 (-6.365295) | 0.062478 / 0.075469 (-0.012991) |

### 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) | 1.257537 / 1.841788 (-0.584251) | 19.828010 / 8.074308 (11.753702) | 14.709260 / 10.191392 (4.517868) | 0.168359 / 0.680424 (-0.512065) | 0.018907 / 0.534201 (-0.515294) | 0.397223 / 0.579283 (-0.182060) | 0.421760 / 0.434364 (-0.012604) | 0.464597 / 0.540337 (-0.075740) | 0.665905 / 1.386936 (-0.721031) |

</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) | 0.007247 / 0.011353 (-0.004106) | 0.004104 / 0.011008 (-0.006904) | 0.065008 / 0.038508 (0.026500) | 0.083485 / 0.023109 (0.060376) | 0.399808 / 0.275898 (0.123910) | 0.433374 / 0.323480 (0.109894) | 0.005453 / 0.007986 (-0.002532) | 0.003479 / 0.004328 (-0.000850) | 0.065126 / 0.004250 (0.060876) | 0.059945 / 0.037052 (0.022893) | 0.402018 / 0.258489 (0.143529) | 0.437927 / 0.293841 (0.144086) | 0.032654 / 0.128546 (-0.095892) | 0.008717 / 0.075646 (-0.066929) | 0.071737 / 0.419271 (-0.347534) | 0.048903 / 0.043533 (0.005370) | 0.402107 / 0.255139 (0.146968) | 0.417602 / 0.283200 (0.134402) | 0.024821 / 0.141683 (-0.116862) | 1.474471 / 1.452155 (0.022316) | 1.559571 / 1.492716 (0.066855) |

### 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) | 0.232010 / 0.018006 (0.214003) | 0.460768 / 0.000490 (0.460278) | 0.005250 / 0.000200 (0.005050) | 0.000109 / 0.000054 (0.000055) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.033839 / 0.037411 (-0.003573) | 0.101617 / 0.014526 (0.087091) | 0.107984 / 0.176557 (-0.068573) | 0.160923 / 0.737135 (-0.576212) | 0.110367 / 0.296338 (-0.185971) |

### 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) | 0.433087 / 0.215209 (0.217878) | 4.324100 / 2.077655 (2.246445) | 2.312937 / 1.504120 (0.808817) | 2.159903 / 1.541195 (0.618708) | 2.240235 / 1.468490 (0.771745) | 0.500659 / 4.584777 (-4.084118) | 3.743801 / 3.745712 (-0.001911) | 3.441350 / 5.269862 (-1.828512) | 2.141370 / 4.565676 (-2.424306) | 0.059078 / 0.424275 (-0.365197) | 0.007468 / 0.007607 (-0.000139) | 0.508108 / 0.226044 (0.282064) | 5.076738 / 2.268929 (2.807809) | 2.825939 / 55.444624 (-52.618685) | 2.467762 / 6.876477 (-4.408715) | 2.705079 / 2.142072 (0.563006) | 0.603363 / 4.805227 (-4.201864) | 0.136267 / 6.500664 (-6.364397) | 0.062887 / 0.075469 (-0.012582) |

### 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) | 1.359344 / 1.841788 (-0.482443) | 20.581510 / 8.074308 (12.507202) | 15.534489 / 10.191392 (5.343097) | 0.192068 / 0.680424 (-0.488356) | 0.020831 / 0.534201 (-0.513370) | 0.403330 / 0.579283 (-0.175953) | 0.429536 / 0.434364 (-0.004828) | 0.479906 / 0.540337 (-0.060431) | 0.674170 / 1.386936 (-0.712766) |

</details>
</details>

![](https://cml.dev/watermark.png#33ac74c2df928dece49ca2cf25e14172896b442e "CML watermark")

2023-09-26T15:41:38Z
https://github.com/huggingface/datasets/pull/6244#issuecomment-1735807108
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Fix #6214 