set dev version

The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6344). All of your documentation changes will be reflected on that endpoint.

Show benchmarks

PyArrow==8.0.0

Show updated benchmarks!

### 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) | 0.008237 / 0.011353 (-0.003116) | 0.004658 / 0.011008 (-0.006351) | 0.105902 / 0.038508 (0.067394) | 0.082690 / 0.023109 (0.059581) | 0.471745 / 0.275898 (0.195847) | 0.464772 / 0.323480 (0.141292) | 0.006373 / 0.007986 (-0.001613) | 0.003823 / 0.004328 (-0.000505) | 0.077721 / 0.004250 (0.073471) | 0.068371 / 0.037052 (0.031318) | 0.457004 / 0.258489 (0.198515) | 0.500989 / 0.293841 (0.207148) | 0.036688 / 0.128546 (-0.091858) | 0.010004 / 0.075646 (-0.065643) | 0.363398 / 0.419271 (-0.055874) | 0.065354 / 0.043533 (0.021821) | 0.440326 / 0.255139 (0.185187) | 0.475314 / 0.283200 (0.192115) | 0.029024 / 0.141683 (-0.112659) | 1.851005 / 1.452155 (0.398851) | 1.939997 / 1.492716 (0.447281) |

### 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) | 0.269739 / 0.018006 (0.251732) | 0.510411 / 0.000490 (0.509922) | 0.013423 / 0.000200 (0.013223) | 0.000513 / 0.000054 (0.000458) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.032912 / 0.037411 (-0.004499) | 0.097497 / 0.014526 (0.082971) | 0.111945 / 0.176557 (-0.064612) | 0.179264 / 0.737135 (-0.557871) | 0.111901 / 0.296338 (-0.184437) |

### 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) | 0.480994 / 0.215209 (0.265785) | 4.800969 / 2.077655 (2.723314) | 2.467390 / 1.504120 (0.963270) | 2.283219 / 1.541195 (0.742024) | 2.407735 / 1.468490 (0.939245) | 0.573862 / 4.584777 (-4.010915) | 4.213394 / 3.745712 (0.467682) | 4.120092 / 5.269862 (-1.149770) | 2.479549 / 4.565676 (-2.086128) | 0.077204 / 0.424275 (-0.347071) | 0.009165 / 0.007607 (0.001558) | 0.583887 / 0.226044 (0.357842) | 5.760759 / 2.268929 (3.491830) | 3.089220 / 55.444624 (-52.355404) | 2.652330 / 6.876477 (-4.224146) | 2.746255 / 2.142072 (0.604182) | 0.689010 / 4.805227 (-4.116217) | 0.158042 / 6.500664 (-6.342622) | 0.072789 / 0.075469 (-0.002680) |

### 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) | 1.658877 / 1.841788 (-0.182911) | 22.928756 / 8.074308 (14.854448) | 17.231823 / 10.191392 (7.040431) | 0.201475 / 0.680424 (-0.478949) | 0.025533 / 0.534201 (-0.508668) | 0.467023 / 0.579283 (-0.112260) | 0.470779 / 0.434364 (0.036415) | 0.643192 / 0.540337 (0.102855) | 0.822006 / 1.386936 (-0.564930) |

PyArrow==latest

Show updated benchmarks!

### 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) | 0.008096 / 0.011353 (-0.003257) | 0.004708 / 0.011008 (-0.006300) | 0.076607 / 0.038508 (0.038099) | 0.086278 / 0.023109 (0.063168) | 0.478027 / 0.275898 (0.202129) | 0.533121 / 0.323480 (0.209641) | 0.006331 / 0.007986 (-0.001654) | 0.004005 / 0.004328 (-0.000324) | 0.076018 / 0.004250 (0.071767) | 0.067240 / 0.037052 (0.030188) | 0.484882 / 0.258489 (0.226393) | 0.536924 / 0.293841 (0.243083) | 0.045064 / 0.128546 (-0.083482) | 0.010071 / 0.075646 (-0.065575) | 0.084319 / 0.419271 (-0.334953) | 0.066267 / 0.043533 (0.022734) | 0.479283 / 0.255139 (0.224144) | 0.507832 / 0.283200 (0.224633) | 0.026436 / 0.141683 (-0.115247) | 1.820043 / 1.452155 (0.367889) | 1.954663 / 1.492716 (0.461947) |

### 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) | 0.292672 / 0.018006 (0.274666) | 0.495523 / 0.000490 (0.495033) | 0.020836 / 0.000200 (0.020636) | 0.000143 / 0.000054 (0.000088) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.038326 / 0.037411 (0.000915) | 0.114629 / 0.014526 (0.100103) | 0.126036 / 0.176557 (-0.050521) | 0.191498 / 0.737135 (-0.545638) | 0.128763 / 0.296338 (-0.167575) |

### 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) | 0.507657 / 0.215209 (0.292448) | 5.062056 / 2.077655 (2.984401) | 2.765895 / 1.504120 (1.261775) | 2.590335 / 1.541195 (1.049141) | 2.790912 / 1.468490 (1.322422) | 0.582819 / 4.584777 (-4.001958) | 4.350034 / 3.745712 (0.604322) | 3.899466 / 5.269862 (-1.370396) | 2.499655 / 4.565676 (-2.066021) | 0.068909 / 0.424275 (-0.355366) | 0.008633 / 0.007607 (0.001026) | 0.593597 / 0.226044 (0.367553) | 5.934398 / 2.268929 (3.665470) | 3.358549 / 55.444624 (-52.086075) | 3.145686 / 6.876477 (-3.730791) | 3.232153 / 2.142072 (1.090080) | 0.753039 / 4.805227 (-4.052188) | 0.164043 / 6.500664 (-6.336621) | 0.072084 / 0.075469 (-0.003385) |

### 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) | 1.632702 / 1.841788 (-0.209086) | 23.411084 / 8.074308 (15.336776) | 17.035726 / 10.191392 (6.844334) | 0.223460 / 0.680424 (-0.456964) | 0.023723 / 0.534201 (-0.510478) | 0.474160 / 0.579283 (-0.105124) | 0.538638 / 0.434364 (0.104274) | 0.595591 / 0.540337 (0.055254) | 0.803324 / 1.386936 (-0.583612) |

![](https://cml.dev/watermark.png#84855c8ddc8d3e33b516f04b687e01d498d0906e "CML watermark")

Show benchmarks

PyArrow==8.0.0

Show updated benchmarks!

### 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) | 0.008300 / 0.011353 (-0.003053) | 0.004667 / 0.011008 (-0.006341) | 0.101028 / 0.038508 (0.062520) | 0.100269 / 0.023109 (0.077160) | 0.418651 / 0.275898 (0.142752) | 0.459061 / 0.323480 (0.135581) | 0.006786 / 0.007986 (-0.001199) | 0.003926 / 0.004328 (-0.000403) | 0.076682 / 0.004250 (0.072432) | 0.066173 / 0.037052 (0.029120) | 0.430644 / 0.258489 (0.172155) | 0.466244 / 0.293841 (0.172403) | 0.040601 / 0.128546 (-0.087946) | 0.009856 / 0.075646 (-0.065790) | 0.351467 / 0.419271 (-0.067805) | 0.068727 / 0.043533 (0.025194) | 0.419527 / 0.255139 (0.164388) | 0.431245 / 0.283200 (0.148045) | 0.028933 / 0.141683 (-0.112750) | 1.749540 / 1.452155 (0.297386) | 1.829076 / 1.492716 (0.336360) |

### 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) | 0.282248 / 0.018006 (0.264242) | 0.587293 / 0.000490 (0.586803) | 0.014497 / 0.000200 (0.014297) | 0.000383 / 0.000054 (0.000329) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.031861 / 0.037411 (-0.005550) | 0.097395 / 0.014526 (0.082869) | 0.113610 / 0.176557 (-0.062946) | 0.181208 / 0.737135 (-0.555927) | 0.115340 / 0.296338 (-0.180999) |

### 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) | 0.459746 / 0.215209 (0.244537) | 4.582387 / 2.077655 (2.504733) | 2.247968 / 1.504120 (0.743848) | 2.032340 / 1.541195 (0.491145) | 2.151766 / 1.468490 (0.683276) | 0.567664 / 4.584777 (-4.017113) | 4.491732 / 3.745712 (0.746020) | 4.000651 / 5.269862 (-1.269211) | 2.429113 / 4.565676 (-2.136564) | 0.067052 / 0.424275 (-0.357223) | 0.009095 / 0.007607 (0.001488) | 0.546461 / 0.226044 (0.320417) | 5.473524 / 2.268929 (3.204595) | 2.902091 / 55.444624 (-52.542533) | 2.517510 / 6.876477 (-4.358966) | 2.572537 / 2.142072 (0.430464) | 0.683499 / 4.805227 (-4.121728) | 0.154863 / 6.500664 (-6.345801) | 0.071298 / 0.075469 (-0.004171) |

### 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) | 1.625236 / 1.841788 (-0.216552) | 23.531541 / 8.074308 (15.457233) | 16.762514 / 10.191392 (6.571122) | 0.215922 / 0.680424 (-0.464502) | 0.021928 / 0.534201 (-0.512273) | 0.466055 / 0.579283 (-0.113228) | 0.553036 / 0.434364 (0.118672) | 0.590063 / 0.540337 (0.049725) | 0.789959 / 1.386936 (-0.596977) |

PyArrow==latest

Show updated benchmarks!

### 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) | 0.008240 / 0.011353 (-0.003113) | 0.004151 / 0.011008 (-0.006858) | 0.077988 / 0.038508 (0.039479) | 0.092865 / 0.023109 (0.069756) | 0.468238 / 0.275898 (0.192340) | 0.512882 / 0.323480 (0.189402) | 0.006632 / 0.007986 (-0.001354) | 0.003879 / 0.004328 (-0.000450) | 0.076238 / 0.004250 (0.071988) | 0.069372 / 0.037052 (0.032319) | 0.481040 / 0.258489 (0.222550) | 0.526332 / 0.293841 (0.232491) | 0.036768 / 0.128546 (-0.091778) | 0.009891 / 0.075646 (-0.065756) | 0.084426 / 0.419271 (-0.334846) | 0.062382 / 0.043533 (0.018849) | 0.480667 / 0.255139 (0.225528) | 0.509001 / 0.283200 (0.225802) | 0.029215 / 0.141683 (-0.112468) | 1.776075 / 1.452155 (0.323920) | 1.948558 / 1.492716 (0.455841) |

### 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) | 0.257879 / 0.018006 (0.239873) | 0.471038 / 0.000490 (0.470548) | 0.009273 / 0.000200 (0.009073) | 0.000208 / 0.000054 (0.000154) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.039249 / 0.037411 (0.001838) | 0.133281 / 0.014526 (0.118755) | 0.138261 / 0.176557 (-0.038296) | 0.191051 / 0.737135 (-0.546084) | 0.134493 / 0.296338 (-0.161845) |

### 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) | 0.507165 / 0.215209 (0.291955) | 5.081018 / 2.077655 (3.003364) | 2.747633 / 1.504120 (1.243513) | 2.558265 / 1.541195 (1.017070) | 2.710839 / 1.468490 (1.242348) | 0.579913 / 4.584777 (-4.004864) | 4.843657 / 3.745712 (1.097945) | 3.942503 / 5.269862 (-1.327358) | 2.529641 / 4.565676 (-2.036036) | 0.068826 / 0.424275 (-0.355449) | 0.008847 / 0.007607 (0.001240) | 0.605332 / 0.226044 (0.379287) | 6.039574 / 2.268929 (3.770646) | 3.437291 / 55.444624 (-52.007333) | 3.086631 / 6.876477 (-3.789846) | 3.189340 / 2.142072 (1.047267) | 0.702650 / 4.805227 (-4.102578) | 0.157403 / 6.500664 (-6.343261) | 0.074637 / 0.075469 (-0.000832) |

### 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) | 1.816532 / 1.841788 (-0.025256) | 24.526675 / 8.074308 (16.452367) | 17.371691 / 10.191392 (7.180299) | 0.236044 / 0.680424 (-0.444380) | 0.024759 / 0.534201 (-0.509442) | 0.530578 / 0.579283 (-0.048705) | 0.527424 / 0.434364 (0.093060) | 0.620267 / 0.540337 (0.079929) | 0.791159 / 1.386936 (-0.595777) |

![](https://cml.dev/watermark.png#78cfce823b98b6cce79a9297fe6fa9e8f80a869c "CML watermark")


Remove unused argument in `_get_data_files_patterns`

_The documentation is not available anymore as the PR was closed or merged._

Show benchmarks

PyArrow==8.0.0

Show updated benchmarks!

### 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) | 0.006584 / 0.011353 (-0.004769) | 0.004197 / 0.011008 (-0.006812) | 0.083598 / 0.038508 (0.045090) | 0.075502 / 0.023109 (0.052392) | 0.312986 / 0.275898 (0.037088) | 0.344630 / 0.323480 (0.021150) | 0.005394 / 0.007986 (-0.002591) | 0.003485 / 0.004328 (-0.000843) | 0.064529 / 0.004250 (0.060279) | 0.055003 / 0.037052 (0.017950) | 0.320522 / 0.258489 (0.062033) | 0.362623 / 0.293841 (0.068782) | 0.030900 / 0.128546 (-0.097646) | 0.008459 / 0.075646 (-0.067187) | 0.286986 / 0.419271 (-0.132285) | 0.052310 / 0.043533 (0.008777) | 0.315873 / 0.255139 (0.060734) | 0.333962 / 0.283200 (0.050762) | 0.023836 / 0.141683 (-0.117847) | 1.481806 / 1.452155 (0.029651) | 1.567926 / 1.492716 (0.075209) |

### 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) | 0.268188 / 0.018006 (0.250182) | 0.520542 / 0.000490 (0.520052) | 0.017617 / 0.000200 (0.017417) | 0.000631 / 0.000054 (0.000577) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.028828 / 0.037411 (-0.008584) | 0.083028 / 0.014526 (0.068502) | 0.099808 / 0.176557 (-0.076748) | 0.154282 / 0.737135 (-0.582853) | 0.098590 / 0.296338 (-0.197748) |

### 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) | 0.407548 / 0.215209 (0.192339) | 4.066128 / 2.077655 (1.988474) | 2.036757 / 1.504120 (0.532637) | 1.870130 / 1.541195 (0.328935) | 1.949031 / 1.468490 (0.480541) | 0.489263 / 4.584777 (-4.095514) | 3.506269 / 3.745712 (-0.239443) | 3.457232 / 5.269862 (-1.812629) | 2.060097 / 4.565676 (-2.505580) | 0.057252 / 0.424275 (-0.367024) | 0.007727 / 0.007607 (0.000120) | 0.480229 / 0.226044 (0.254185) | 4.807064 / 2.268929 (2.538135) | 2.495438 / 55.444624 (-52.949186) | 2.186194 / 6.876477 (-4.690283) | 2.243372 / 2.142072 (0.101300) | 0.580550 / 4.805227 (-4.224678) | 0.135398 / 6.500664 (-6.365266) | 0.061878 / 0.075469 (-0.013591) |

### 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) | 1.305635 / 1.841788 (-0.536152) | 19.194421 / 8.074308 (11.120113) | 14.531699 / 10.191392 (4.340307) | 0.167144 / 0.680424 (-0.513280) | 0.018270 / 0.534201 (-0.515931) | 0.393702 / 0.579283 (-0.185581) | 0.406518 / 0.434364 (-0.027846) | 0.458126 / 0.540337 (-0.082211) | 0.639839 / 1.386936 (-0.747097) |

PyArrow==latest

Show updated benchmarks!

### 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) | 0.006742 / 0.011353 (-0.004611) | 0.004092 / 0.011008 (-0.006916) | 0.065547 / 0.038508 (0.027039) | 0.076293 / 0.023109 (0.053184) | 0.389701 / 0.275898 (0.113803) | 0.429158 / 0.323480 (0.105678) | 0.005606 / 0.007986 (-0.002380) | 0.003491 / 0.004328 (-0.000837) | 0.065903 / 0.004250 (0.061653) | 0.057346 / 0.037052 (0.020293) | 0.393233 / 0.258489 (0.134744) | 0.433106 / 0.293841 (0.139265) | 0.032612 / 0.128546 (-0.095934) | 0.008777 / 0.075646 (-0.066869) | 0.073135 / 0.419271 (-0.346137) | 0.048167 / 0.043533 (0.004635) | 0.389309 / 0.255139 (0.134170) | 0.416442 / 0.283200 (0.133242) | 0.022839 / 0.141683 (-0.118844) | 1.531607 / 1.452155 (0.079453) | 1.598950 / 1.492716 (0.106234) |

### 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) | 0.254856 / 0.018006 (0.236850) | 0.528186 / 0.000490 (0.527697) | 0.006975 / 0.000200 (0.006775) | 0.000102 / 0.000054 (0.000048) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.032377 / 0.037411 (-0.005034) | 0.092706 / 0.014526 (0.078180) | 0.107618 / 0.176557 (-0.068939) | 0.160103 / 0.737135 (-0.577032) | 0.107226 / 0.296338 (-0.189112) |

### 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) | 0.430922 / 0.215209 (0.215713) | 4.312556 / 2.077655 (2.234901) | 2.287686 / 1.504120 (0.783567) | 2.111103 / 1.541195 (0.569908) | 2.284105 / 1.468490 (0.815614) | 0.485987 / 4.584777 (-4.098790) | 3.557320 / 3.745712 (-0.188392) | 3.341150 / 5.269862 (-1.928711) | 2.056705 / 4.565676 (-2.508972) | 0.057265 / 0.424275 (-0.367010) | 0.007264 / 0.007607 (-0.000344) | 0.505191 / 0.226044 (0.279146) | 5.045379 / 2.268929 (2.776450) | 2.732357 / 55.444624 (-52.712267) | 2.390256 / 6.876477 (-4.486220) | 2.643676 / 2.142072 (0.501604) | 0.584630 / 4.805227 (-4.220597) | 0.132402 / 6.500664 (-6.368262) | 0.061387 / 0.075469 (-0.014082) |

### 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) | 1.340721 / 1.841788 (-0.501066) | 19.744145 / 8.074308 (11.669837) | 14.694482 / 10.191392 (4.503090) | 0.166294 / 0.680424 (-0.514129) | 0.020691 / 0.534201 (-0.513510) | 0.398359 / 0.579283 (-0.180924) | 0.423831 / 0.434364 (-0.010533) | 0.474365 / 0.540337 (-0.065972) | 0.649410 / 1.386936 (-0.737526) |

![](https://cml.dev/watermark.png#b29bc9cef6237eb0d18f77c56686705f468bed25 "CML watermark")

Show benchmarks

PyArrow==8.0.0

Show updated benchmarks!

### 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) | 0.004369 / 0.011353 (-0.006984) | 0.002728 / 0.011008 (-0.008280) | 0.063754 / 0.038508 (0.025246) | 0.029396 / 0.023109 (0.006287) | 0.269409 / 0.275898 (-0.006489) | 0.287654 / 0.323480 (-0.035826) | 0.003926 / 0.007986 (-0.004060) | 0.002366 / 0.004328 (-0.001963) | 0.048910 / 0.004250 (0.044660) | 0.043126 / 0.037052 (0.006074) | 0.260774 / 0.258489 (0.002285) | 0.299996 / 0.293841 (0.006155) | 0.023359 / 0.128546 (-0.105187) | 0.007259 / 0.075646 (-0.068388) | 0.211412 / 0.419271 (-0.207860) | 0.053883 / 0.043533 (0.010350) | 0.268946 / 0.255139 (0.013807) | 0.287664 / 0.283200 (0.004465) | 0.017600 / 0.141683 (-0.124083) | 1.096478 / 1.452155 (-0.355676) | 1.193063 / 1.492716 (-0.299653) |

### 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) | 0.090985 / 0.018006 (0.072979) | 0.287168 / 0.000490 (0.286678) | 0.000208 / 0.000200 (0.000009) | 0.000052 / 0.000054 (-0.000002) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.019238 / 0.037411 (-0.018173) | 0.062660 / 0.014526 (0.048134) | 0.073414 / 0.176557 (-0.103143) | 0.120842 / 0.737135 (-0.616294) | 0.077658 / 0.296338 (-0.218681) |

### 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) | 0.280285 / 0.215209 (0.065076) | 2.729807 / 2.077655 (0.652152) | 1.430686 / 1.504120 (-0.073434) | 1.307260 / 1.541195 (-0.233935) | 1.321013 / 1.468490 (-0.147477) | 0.387253 / 4.584777 (-4.197524) | 2.415635 / 3.745712 (-1.330077) | 2.557206 / 5.269862 (-2.712656) | 1.553224 / 4.565676 (-3.012453) | 0.045402 / 0.424275 (-0.378873) | 0.004798 / 0.007607 (-0.002809) | 0.330493 / 0.226044 (0.104449) | 3.226835 / 2.268929 (0.957906) | 1.739068 / 55.444624 (-53.705557) | 1.494841 / 6.876477 (-5.381636) | 1.528253 / 2.142072 (-0.613820) | 0.451525 / 4.805227 (-4.353702) | 0.096620 / 6.500664 (-6.404044) | 0.041176 / 0.075469 (-0.034293) |

### Benchmark: benchmark_map_filter.json

| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |
|--------|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.930892 / 1.841788 (-0.910896) | 11.343351 / 8.074308 (3.269043) | 10.420327 / 10.191392 (0.228935) | 0.137629 / 0.680424 (-0.542795) | 0.013907 / 0.534201 (-0.520293) | 0.267778 / 0.579283 (-0.311505) | 0.260774 / 0.434364 (-0.173590) | 0.308213 / 0.540337 (-0.232124) | 0.419659 / 1.386936 (-0.967277) |

PyArrow==latest

Show updated benchmarks!

### 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) | 0.004867 / 0.011353 (-0.006486) | 0.002830 / 0.011008 (-0.008178) | 0.048506 / 0.038508 (0.009998) | 0.048190 / 0.023109 (0.025080) | 0.279995 / 0.275898 (0.004097) | 0.296396 / 0.323480 (-0.027083) | 0.004700 / 0.007986 (-0.003285) | 0.003546 / 0.004328 (-0.000782) | 0.048237 / 0.004250 (0.043987) | 0.037102 / 0.037052 (0.000050) | 0.284582 / 0.258489 (0.026093) | 0.315896 / 0.293841 (0.022055) | 0.024699 / 0.128546 (-0.103848) | 0.007077 / 0.075646 (-0.068569) | 0.054471 / 0.419271 (-0.364800) | 0.032537 / 0.043533 (-0.010996) | 0.276761 / 0.255139 (0.021622) | 0.294741 / 0.283200 (0.011542) | 0.017766 / 0.141683 (-0.123917) | 1.118377 / 1.452155 (-0.333778) | 1.186617 / 1.492716 (-0.306100) |

### 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) | 0.088981 / 0.018006 (0.070975) | 0.297793 / 0.000490 (0.297303) | 0.000220 / 0.000200 (0.000020) | 0.000050 / 0.000054 (-0.000004) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.021300 / 0.037411 (-0.016111) | 0.070059 / 0.014526 (0.055533) | 0.080452 / 0.176557 (-0.096104) | 0.118461 / 0.737135 (-0.618674) | 0.081099 / 0.296338 (-0.215240) |

### 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) | 0.300560 / 0.215209 (0.085351) | 2.951461 / 2.077655 (0.873806) | 1.621978 / 1.504120 (0.117858) | 1.478871 / 1.541195 (-0.062324) | 1.520732 / 1.468490 (0.052242) | 0.408625 / 4.584777 (-4.176152) | 2.407253 / 3.745712 (-1.338459) | 2.546000 / 5.269862 (-2.723861) | 1.525920 / 4.565676 (-3.039757) | 0.046817 / 0.424275 (-0.377458) | 0.004880 / 0.007607 (-0.002727) | 0.350866 / 0.226044 (0.124821) | 3.489379 / 2.268929 (1.220451) | 1.967197 / 55.444624 (-53.477427) | 1.686083 / 6.876477 (-5.190394) | 1.699307 / 2.142072 (-0.442766) | 0.479659 / 4.805227 (-4.325568) | 0.098853 / 6.500664 (-6.401811) | 0.040718 / 0.075469 (-0.034751) |

### 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) | 1.018352 / 1.841788 (-0.823436) | 12.022551 / 8.074308 (3.948243) | 10.841890 / 10.191392 (0.650498) | 0.130732 / 0.680424 (-0.549692) | 0.016334 / 0.534201 (-0.517867) | 0.271984 / 0.579283 (-0.307299) | 0.276733 / 0.434364 (-0.157631) | 0.308049 / 0.540337 (-0.232289) | 0.415428 / 1.386936 (-0.971508) |

![](https://cml.dev/watermark.png#31d95717e4e5fc6dd7699878720f063d51f1d595 "CML watermark")


Release: 2.14.6

Show benchmarks

PyArrow==8.0.0

Show updated benchmarks!

### 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) | 0.007051 / 0.011353 (-0.004302) | 0.004291 / 0.011008 (-0.006717) | 0.085557 / 0.038508 (0.047048) | 0.087919 / 0.023109 (0.064810) | 0.356912 / 0.275898 (0.081014) | 0.394835 / 0.323480 (0.071355) | 0.004464 / 0.007986 (-0.003522) | 0.003688 / 0.004328 (-0.000640) | 0.065437 / 0.004250 (0.061186) | 0.060156 / 0.037052 (0.023103) | 0.361807 / 0.258489 (0.103318) | 0.420917 / 0.293841 (0.127076) | 0.031704 / 0.128546 (-0.096842) | 0.008921 / 0.075646 (-0.066726) | 0.287828 / 0.419271 (-0.131443) | 0.053600 / 0.043533 (0.010067) | 0.361833 / 0.255139 (0.106694) | 0.396732 / 0.283200 (0.113532) | 0.025874 / 0.141683 (-0.115809) | 1.474926 / 1.452155 (0.022771) | 1.563186 / 1.492716 (0.070469) |

### 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) | 0.316823 / 0.018006 (0.298817) | 0.604085 / 0.000490 (0.603595) | 0.020828 / 0.000200 (0.020628) | 0.000351 / 0.000054 (0.000297) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.030468 / 0.037411 (-0.006943) | 0.083904 / 0.014526 (0.069378) | 0.103019 / 0.176557 (-0.073537) | 0.159018 / 0.737135 (-0.578117) | 0.102737 / 0.296338 (-0.193602) |

### 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) | 0.405311 / 0.215209 (0.190102) | 4.029060 / 2.077655 (1.951406) | 2.046590 / 1.504120 (0.542470) | 1.919335 / 1.541195 (0.378140) | 2.030371 / 1.468490 (0.561881) | 0.484209 / 4.584777 (-4.100568) | 3.486888 / 3.745712 (-0.258824) | 3.390777 / 5.269862 (-1.879084) | 2.110744 / 4.565676 (-2.454933) | 0.056587 / 0.424275 (-0.367688) | 0.007766 / 0.007607 (0.000159) | 0.488217 / 0.226044 (0.262173) | 4.853904 / 2.268929 (2.584976) | 2.595122 / 55.444624 (-52.849502) | 2.217712 / 6.876477 (-4.658765) | 2.500368 / 2.142072 (0.358296) | 0.580843 / 4.805227 (-4.224384) | 0.132719 / 6.500664 (-6.367945) | 0.060202 / 0.075469 (-0.015267) |

### 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) | 1.260748 / 1.841788 (-0.581040) | 20.148848 / 8.074308 (12.074540) | 14.738779 / 10.191392 (4.547387) | 0.167562 / 0.680424 (-0.512862) | 0.018944 / 0.534201 (-0.515257) | 0.394314 / 0.579283 (-0.184969) | 0.409345 / 0.434364 (-0.025019) | 0.458743 / 0.540337 (-0.081594) | 0.638175 / 1.386936 (-0.748761) |

PyArrow==latest

Show updated benchmarks!

### 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) | 0.007097 / 0.011353 (-0.004256) | 0.004304 / 0.011008 (-0.006705) | 0.065539 / 0.038508 (0.027030) | 0.094078 / 0.023109 (0.070969) | 0.412411 / 0.275898 (0.136513) | 0.441900 / 0.323480 (0.118420) | 0.006038 / 0.007986 (-0.001948) | 0.003647 / 0.004328 (-0.000682) | 0.065298 / 0.004250 (0.061048) | 0.062571 / 0.037052 (0.025518) | 0.405156 / 0.258489 (0.146667) | 0.443779 / 0.293841 (0.149938) | 0.034470 / 0.128546 (-0.094077) | 0.008858 / 0.075646 (-0.066789) | 0.071840 / 0.419271 (-0.347431) | 0.050468 / 0.043533 (0.006935) | 0.404198 / 0.255139 (0.149059) | 0.430196 / 0.283200 (0.146997) | 0.025710 / 0.141683 (-0.115973) | 1.525374 / 1.452155 (0.073219) | 1.591830 / 1.492716 (0.099114) |

### 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) | 0.294330 / 0.018006 (0.276324) | 0.516943 / 0.000490 (0.516453) | 0.004807 / 0.000200 (0.004607) | 0.000103 / 0.000054 (0.000048) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.034505 / 0.037411 (-0.002907) | 0.096645 / 0.014526 (0.082119) | 0.111926 / 0.176557 (-0.064630) | 0.165241 / 0.737135 (-0.571894) | 0.111834 / 0.296338 (-0.184504) |

### 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) | 0.436370 / 0.215209 (0.221161) | 4.357568 / 2.077655 (2.279913) | 2.360529 / 1.504120 (0.856409) | 2.196375 / 1.541195 (0.655180) | 2.307481 / 1.468490 (0.838991) | 0.494072 / 4.584777 (-4.090705) | 3.565078 / 3.745712 (-0.180634) | 3.405174 / 5.269862 (-1.864688) | 2.203307 / 4.565676 (-2.362369) | 0.058582 / 0.424275 (-0.365693) | 0.007410 / 0.007607 (-0.000197) | 0.514323 / 0.226044 (0.288279) | 5.139834 / 2.268929 (2.870905) | 2.884111 / 55.444624 (-52.560513) | 2.589021 / 6.876477 (-4.287456) | 2.787577 / 2.142072 (0.645504) | 0.590765 / 4.805227 (-4.214462) | 0.135237 / 6.500664 (-6.365427) | 0.061078 / 0.075469 (-0.014391) |

### 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) | 1.346938 / 1.841788 (-0.494850) | 21.009948 / 8.074308 (12.935640) | 15.203281 / 10.191392 (5.011889) | 0.166208 / 0.680424 (-0.514216) | 0.020634 / 0.534201 (-0.513567) | 0.413825 / 0.579283 (-0.165458) | 0.416477 / 0.434364 (-0.017887) | 0.485888 / 0.540337 (-0.054449) | 0.664941 / 1.386936 (-0.721995) |

![](https://cml.dev/watermark.png#395b30ee2c0f6088e28fe78a3e61b591e40a4668 "CML watermark")

Show benchmarks

PyArrow==8.0.0

Show updated benchmarks!

### 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) | 0.005927 / 0.011353 (-0.005425) | 0.003622 / 0.011008 (-0.007386) | 0.081414 / 0.038508 (0.042906) | 0.061031 / 0.023109 (0.037922) | 0.358323 / 0.275898 (0.082425) | 0.394192 / 0.323480 (0.070712) | 0.003471 / 0.007986 (-0.004515) | 0.002930 / 0.004328 (-0.001399) | 0.064215 / 0.004250 (0.059964) | 0.048678 / 0.037052 (0.011625) | 0.367966 / 0.258489 (0.109477) | 0.412618 / 0.293841 (0.118777) | 0.027192 / 0.128546 (-0.101355) | 0.007921 / 0.075646 (-0.067725) | 0.262213 / 0.419271 (-0.157059) | 0.044750 / 0.043533 (0.001217) | 0.351573 / 0.255139 (0.096434) | 0.389000 / 0.283200 (0.105800) | 0.020842 / 0.141683 (-0.120840) | 1.448925 / 1.452155 (-0.003229) | 1.530478 / 1.492716 (0.037761) |

### 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) | 0.227787 / 0.018006 (0.209780) | 0.423161 / 0.000490 (0.422671) | 0.007557 / 0.000200 (0.007357) | 0.000205 / 0.000054 (0.000150) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.024703 / 0.037411 (-0.012709) | 0.074044 / 0.014526 (0.059518) | 0.085520 / 0.176557 (-0.091037) | 0.146132 / 0.737135 (-0.591003) | 0.085637 / 0.296338 (-0.210701) |

### 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) | 0.393177 / 0.215209 (0.177968) | 3.926740 / 2.077655 (1.849085) | 1.892420 / 1.504120 (0.388300) | 1.716844 / 1.541195 (0.175650) | 1.784040 / 1.468490 (0.315550) | 0.499570 / 4.584777 (-4.085207) | 3.057764 / 3.745712 (-0.687948) | 2.885463 / 5.269862 (-2.384399) | 1.905206 / 4.565676 (-2.660471) | 0.058216 / 0.424275 (-0.366059) | 0.006805 / 0.007607 (-0.000802) | 0.465406 / 0.226044 (0.239361) | 4.658569 / 2.268929 (2.389641) | 2.461737 / 55.444624 (-52.982887) | 2.170620 / 6.876477 (-4.705856) | 2.373715 / 2.142072 (0.231643) | 0.592818 / 4.805227 (-4.212409) | 0.127960 / 6.500664 (-6.372704) | 0.061696 / 0.075469 (-0.013773) |

### 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) | 1.229073 / 1.841788 (-0.612715) | 17.832087 / 8.074308 (9.757778) | 13.889485 / 10.191392 (3.698093) | 0.142237 / 0.680424 (-0.538187) | 0.016752 / 0.534201 (-0.517449) | 0.338342 / 0.579283 (-0.240941) | 0.383933 / 0.434364 (-0.050431) | 0.393017 / 0.540337 (-0.147320) | 0.557621 / 1.386936 (-0.829315) |

PyArrow==latest

Show updated benchmarks!

### 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) | 0.006218 / 0.011353 (-0.005135) | 0.003679 / 0.011008 (-0.007329) | 0.062934 / 0.038508 (0.024426) | 0.066764 / 0.023109 (0.043655) | 0.482737 / 0.275898 (0.206839) | 0.483241 / 0.323480 (0.159761) | 0.004828 / 0.007986 (-0.003158) | 0.002880 / 0.004328 (-0.001448) | 0.063111 / 0.004250 (0.058861) | 0.049500 / 0.037052 (0.012448) | 0.453155 / 0.258489 (0.194666) | 0.488776 / 0.293841 (0.194935) | 0.028568 / 0.128546 (-0.099978) | 0.008490 / 0.075646 (-0.067157) | 0.068202 / 0.419271 (-0.351069) | 0.040695 / 0.043533 (-0.002838) | 0.457473 / 0.255139 (0.202334) | 0.471968 / 0.283200 (0.188768) | 0.021261 / 0.141683 (-0.120422) | 1.476304 / 1.452155 (0.024150) | 1.503433 / 1.492716 (0.010716) |

### 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) | 0.227108 / 0.018006 (0.209102) | 0.428330 / 0.000490 (0.427840) | 0.004637 / 0.000200 (0.004437) | 0.000074 / 0.000054 (0.000020) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.027253 / 0.037411 (-0.010158) | 0.081990 / 0.014526 (0.067464) | 0.092763 / 0.176557 (-0.083794) | 0.146155 / 0.737135 (-0.590981) | 0.093175 / 0.296338 (-0.203164) |

### 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) | 0.464585 / 0.215209 (0.249376) | 4.630704 / 2.077655 (2.553050) | 2.583272 / 1.504120 (1.079152) | 2.393810 / 1.541195 (0.852615) | 2.463255 / 1.468490 (0.994765) | 0.507045 / 4.584777 (-4.077732) | 3.181972 / 3.745712 (-0.563740) | 2.902321 / 5.269862 (-2.367541) | 1.905431 / 4.565676 (-2.660246) | 0.059427 / 0.424275 (-0.364848) | 0.006387 / 0.007607 (-0.001220) | 0.542247 / 0.226044 (0.316203) | 5.426868 / 2.268929 (3.157939) | 3.073489 / 55.444624 (-52.371136) | 2.719620 / 6.876477 (-4.156857) | 2.861865 / 2.142072 (0.719793) | 0.593757 / 4.805227 (-4.211471) | 0.125439 / 6.500664 (-6.375225) | 0.060901 / 0.075469 (-0.014568) |

### 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) | 1.359938 / 1.841788 (-0.481850) | 18.484867 / 8.074308 (10.410559) | 14.685645 / 10.191392 (4.494253) | 0.164098 / 0.680424 (-0.516325) | 0.018090 / 0.534201 (-0.516111) | 0.339760 / 0.579283 (-0.239523) | 0.376668 / 0.434364 (-0.057696) | 0.396963 / 0.540337 (-0.143374) | 0.549305 / 1.386936 (-0.837631) |

![](https://cml.dev/watermark.png#0c896f4195ec8a91e09f8bb9a57950bcec8b8450 "CML watermark")

Show benchmarks

PyArrow==8.0.0

Show updated benchmarks!

### 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) | 0.006052 / 0.011353 (-0.005301) | 0.003715 / 0.011008 (-0.007293) | 0.079646 / 0.038508 (0.041138) | 0.059053 / 0.023109 (0.035944) | 0.393016 / 0.275898 (0.117118) | 0.424758 / 0.323480 (0.101278) | 0.005407 / 0.007986 (-0.002578) | 0.002920 / 0.004328 (-0.001408) | 0.062145 / 0.004250 (0.057894) | 0.047289 / 0.037052 (0.010237) | 0.399848 / 0.258489 (0.141359) | 0.434239 / 0.293841 (0.140398) | 0.027388 / 0.128546 (-0.101158) | 0.007967 / 0.075646 (-0.067680) | 0.262546 / 0.419271 (-0.156725) | 0.045014 / 0.043533 (0.001482) | 0.398086 / 0.255139 (0.142947) | 0.414615 / 0.283200 (0.131415) | 0.020410 / 0.141683 (-0.121272) | 1.447276 / 1.452155 (-0.004879) | 1.512390 / 1.492716 (0.019673) |

### 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) | 0.224854 / 0.018006 (0.206847) | 0.434173 / 0.000490 (0.433683) | 0.010091 / 0.000200 (0.009891) | 0.000259 / 0.000054 (0.000205) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.025316 / 0.037411 (-0.012095) | 0.073284 / 0.014526 (0.058758) | 0.085177 / 0.176557 (-0.091379) | 0.148905 / 0.737135 (-0.588230) | 0.084696 / 0.296338 (-0.211642) |

### 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) | 0.438259 / 0.215209 (0.223050) | 4.380679 / 2.077655 (2.303025) | 2.310329 / 1.504120 (0.806209) | 2.144002 / 1.541195 (0.602807) | 2.203761 / 1.468490 (0.735270) | 0.500559 / 4.584777 (-4.084218) | 3.031172 / 3.745712 (-0.714540) | 2.839425 / 5.269862 (-2.430436) | 1.878391 / 4.565676 (-2.687285) | 0.057325 / 0.424275 (-0.366950) | 0.006719 / 0.007607 (-0.000888) | 0.510122 / 0.226044 (0.284078) | 5.108632 / 2.268929 (2.839704) | 2.805716 / 55.444624 (-52.638909) | 2.422183 / 6.876477 (-4.454293) | 2.635280 / 2.142072 (0.493207) | 0.589351 / 4.805227 (-4.215876) | 0.125416 / 6.500664 (-6.375248) | 0.061142 / 0.075469 (-0.014327) |

### 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) | 1.234997 / 1.841788 (-0.606791) | 17.731828 / 8.074308 (9.657520) | 13.858081 / 10.191392 (3.666689) | 0.145975 / 0.680424 (-0.534449) | 0.016827 / 0.534201 (-0.517374) | 0.335701 / 0.579283 (-0.243582) | 0.361867 / 0.434364 (-0.072497) | 0.394620 / 0.540337 (-0.145718) | 0.532146 / 1.386936 (-0.854790) |

PyArrow==latest

Show updated benchmarks!

### 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) | 0.006091 / 0.011353 (-0.005262) | 0.003663 / 0.011008 (-0.007345) | 0.062596 / 0.038508 (0.024088) | 0.061649 / 0.023109 (0.038539) | 0.440647 / 0.275898 (0.164749) | 0.472974 / 0.323480 (0.149494) | 0.005009 / 0.007986 (-0.002976) | 0.002879 / 0.004328 (-0.001449) | 0.062815 / 0.004250 (0.058565) | 0.049000 / 0.037052 (0.011947) | 0.442990 / 0.258489 (0.184501) | 0.477622 / 0.293841 (0.183781) | 0.028512 / 0.128546 (-0.100034) | 0.008031 / 0.075646 (-0.067615) | 0.067853 / 0.419271 (-0.351418) | 0.040823 / 0.043533 (-0.002710) | 0.437811 / 0.255139 (0.182672) | 0.464615 / 0.283200 (0.181416) | 0.021348 / 0.141683 (-0.120334) | 1.479230 / 1.452155 (0.027075) | 1.544053 / 1.492716 (0.051337) |

### 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) | 0.210697 / 0.018006 (0.192691) | 0.436450 / 0.000490 (0.435960) | 0.003413 / 0.000200 (0.003213) | 0.000089 / 0.000054 (0.000035) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.027190 / 0.037411 (-0.010222) | 0.083254 / 0.014526 (0.068728) | 0.092936 / 0.176557 (-0.083620) | 0.147261 / 0.737135 (-0.589874) | 0.092910 / 0.296338 (-0.203429) |

### 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) | 0.454195 / 0.215209 (0.238986) | 4.569122 / 2.077655 (2.491468) | 2.497198 / 1.504120 (0.993079) | 2.314337 / 1.541195 (0.773142) | 2.378471 / 1.468490 (0.909981) | 0.515402 / 4.584777 (-4.069375) | 3.199374 / 3.745712 (-0.546338) | 2.899300 / 5.269862 (-2.370562) | 1.873314 / 4.565676 (-2.692362) | 0.058820 / 0.424275 (-0.365455) | 0.006651 / 0.007607 (-0.000957) | 0.526681 / 0.226044 (0.300636) | 5.275232 / 2.268929 (3.006303) | 2.969107 / 55.444624 (-52.475517) | 2.600959 / 6.876477 (-4.275518) | 2.762930 / 2.142072 (0.620858) | 0.605726 / 4.805227 (-4.199501) | 0.127618 / 6.500664 (-6.373046) | 0.062840 / 0.075469 (-0.012629) |

### 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) | 1.367276 / 1.841788 (-0.474512) | 18.069385 / 8.074308 (9.995077) | 14.691945 / 10.191392 (4.500553) | 0.147203 / 0.680424 (-0.533221) | 0.018484 / 0.534201 (-0.515717) | 0.333759 / 0.579283 (-0.245524) | 0.395503 / 0.434364 (-0.038861) | 0.387031 / 0.540337 (-0.153306) | 0.550428 / 1.386936 (-0.836508) |

![](https://cml.dev/watermark.png#4c8f7eb79dff66dd03211321dcb55f7a7a05ef38 "CML watermark")

Show benchmarks

PyArrow==8.0.0

Show updated benchmarks!

### 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) | 0.007675 / 0.011353 (-0.003678) | 0.004532 / 0.011008 (-0.006476) | 0.088176 / 0.038508 (0.049668) | 0.103257 / 0.023109 (0.080148) | 0.314785 / 0.275898 (0.038887) | 0.354280 / 0.323480 (0.030800) | 0.004638 / 0.007986 (-0.003348) | 0.003736 / 0.004328 (-0.000592) | 0.066744 / 0.004250 (0.062493) | 0.064647 / 0.037052 (0.027595) | 0.320227 / 0.258489 (0.061738) | 0.369581 / 0.293841 (0.075740) | 0.032347 / 0.128546 (-0.096199) | 0.009226 / 0.075646 (-0.066421) | 0.292966 / 0.419271 (-0.126306) | 0.055738 / 0.043533 (0.012206) | 0.316537 / 0.255139 (0.061398) | 0.334699 / 0.283200 (0.051499) | 0.027401 / 0.141683 (-0.114282) | 1.482390 / 1.452155 (0.030236) | 1.594771 / 1.492716 (0.102055) |

### 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) | 0.322181 / 0.018006 (0.304175) | 0.577701 / 0.000490 (0.577212) | 0.014565 / 0.000200 (0.014365) | 0.000393 / 0.000054 (0.000338) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.033255 / 0.037411 (-0.004156) | 0.094271 / 0.014526 (0.079745) | 0.105360 / 0.176557 (-0.071197) | 0.163699 / 0.737135 (-0.573436) | 0.105620 / 0.296338 (-0.190719) |

### 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) | 0.383449 / 0.215209 (0.168240) | 3.824292 / 2.077655 (1.746637) | 1.861809 / 1.504120 (0.357689) | 1.698153 / 1.541195 (0.156958) | 1.819460 / 1.468490 (0.350970) | 0.488277 / 4.584777 (-4.096500) | 3.622772 / 3.745712 (-0.122940) | 3.486041 / 5.269862 (-1.783821) | 2.211679 / 4.565676 (-2.353998) | 0.057637 / 0.424275 (-0.366638) | 0.008028 / 0.007607 (0.000421) | 0.461917 / 0.226044 (0.235873) | 4.626493 / 2.268929 (2.357565) | 2.374846 / 55.444624 (-53.069779) | 1.976003 / 6.876477 (-4.900473) | 2.325342 / 2.142072 (0.183269) | 0.582538 / 4.805227 (-4.222689) | 0.133575 / 6.500664 (-6.367089) | 0.061696 / 0.075469 (-0.013773) |

### 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) | 1.271846 / 1.841788 (-0.569941) | 20.944702 / 8.074308 (12.870394) | 15.438119 / 10.191392 (5.246727) | 0.167334 / 0.680424 (-0.513090) | 0.019538 / 0.534201 (-0.514663) | 0.401467 / 0.579283 (-0.177816) | 0.428222 / 0.434364 (-0.006142) | 0.466108 / 0.540337 (-0.074229) | 0.645326 / 1.386936 (-0.741610) |

PyArrow==latest

Show updated benchmarks!

### 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) | 0.007096 / 0.011353 (-0.004257) | 0.004398 / 0.011008 (-0.006610) | 0.066253 / 0.038508 (0.027745) | 0.089415 / 0.023109 (0.066306) | 0.395760 / 0.275898 (0.119862) | 0.436058 / 0.323480 (0.112579) | 0.005944 / 0.007986 (-0.002042) | 0.003821 / 0.004328 (-0.000507) | 0.065286 / 0.004250 (0.061036) | 0.060990 / 0.037052 (0.023937) | 0.394674 / 0.258489 (0.136185) | 0.437672 / 0.293841 (0.143831) | 0.032370 / 0.128546 (-0.096177) | 0.009025 / 0.075646 (-0.066622) | 0.071365 / 0.419271 (-0.347906) | 0.048232 / 0.043533 (0.004699) | 0.395677 / 0.255139 (0.140538) | 0.415869 / 0.283200 (0.132669) | 0.024632 / 0.141683 (-0.117051) | 1.511386 / 1.452155 (0.059231) | 1.604475 / 1.492716 (0.111759) |

### 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) | 0.312864 / 0.018006 (0.294858) | 0.535432 / 0.000490 (0.534943) | 0.005195 / 0.000200 (0.004995) | 0.000101 / 0.000054 (0.000047) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.035827 / 0.037411 (-0.001584) | 0.099353 / 0.014526 (0.084827) | 0.110796 / 0.176557 (-0.065761) | 0.165224 / 0.737135 (-0.571911) | 0.112111 / 0.296338 (-0.184228) |

### 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) | 0.428873 / 0.215209 (0.213664) | 4.284264 / 2.077655 (2.206609) | 2.303966 / 1.504120 (0.799847) | 2.153868 / 1.541195 (0.612674) | 2.275669 / 1.468490 (0.807179) | 0.495452 / 4.584777 (-4.089325) | 3.706773 / 3.745712 (-0.038939) | 3.471988 / 5.269862 (-1.797874) | 2.194851 / 4.565676 (-2.370825) | 0.058998 / 0.424275 (-0.365277) | 0.007522 / 0.007607 (-0.000085) | 0.511222 / 0.226044 (0.285177) | 5.097058 / 2.268929 (2.828130) | 2.856793 / 55.444624 (-52.587832) | 2.521907 / 6.876477 (-4.354569) | 2.783133 / 2.142072 (0.641060) | 0.600511 / 4.805227 (-4.204717) | 0.134130 / 6.500664 (-6.366534) | 0.061726 / 0.075469 (-0.013743) |

### 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) | 1.385272 / 1.841788 (-0.456516) | 21.149260 / 8.074308 (13.074952) | 15.548746 / 10.191392 (5.357354) | 0.167506 / 0.680424 (-0.512918) | 0.020494 / 0.534201 (-0.513707) | 0.400697 / 0.579283 (-0.178586) | 0.427386 / 0.434364 (-0.006978) | 0.478514 / 0.540337 (-0.061824) | 0.655753 / 1.386936 (-0.731183) |

![](https://cml.dev/watermark.png#4c8f7eb79dff66dd03211321dcb55f7a7a05ef38 "CML watermark")


Release 2.14.5

The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6340). All of your documentation changes will be reflected on that endpoint.

(wrong release number - I was continuing the 2.14 branch but 2.14.5 was released from `main`)


minor release step improvement

Show benchmarks

PyArrow==8.0.0

Show updated benchmarks!

### 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) | 0.006572 / 0.011353 (-0.004780) | 0.004019 / 0.011008 (-0.006989) | 0.084080 / 0.038508 (0.045572) | 0.070111 / 0.023109 (0.047002) | 0.340440 / 0.275898 (0.064542) | 0.358839 / 0.323480 (0.035359) | 0.005254 / 0.007986 (-0.002732) | 0.003296 / 0.004328 (-0.001032) | 0.064368 / 0.004250 (0.060117) | 0.054549 / 0.037052 (0.017497) | 0.343817 / 0.258489 (0.085328) | 0.369871 / 0.293841 (0.076030) | 0.030621 / 0.128546 (-0.097925) | 0.008457 / 0.075646 (-0.067189) | 0.287839 / 0.419271 (-0.131432) | 0.051700 / 0.043533 (0.008167) | 0.331602 / 0.255139 (0.076463) | 0.339836 / 0.283200 (0.056636) | 0.023224 / 0.141683 (-0.118459) | 1.494597 / 1.452155 (0.042443) | 1.578640 / 1.492716 (0.085924) |

### 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) | 0.236985 / 0.018006 (0.218979) | 0.506153 / 0.000490 (0.505664) | 0.009753 / 0.000200 (0.009553) | 0.000345 / 0.000054 (0.000291) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.028355 / 0.037411 (-0.009056) | 0.082104 / 0.014526 (0.067578) | 0.095141 / 0.176557 (-0.081415) | 0.151054 / 0.737135 (-0.586081) | 0.095139 / 0.296338 (-0.201200) |

### 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) | 0.403773 / 0.215209 (0.188564) | 4.025567 / 2.077655 (1.947912) | 2.024641 / 1.504120 (0.520521) | 1.857039 / 1.541195 (0.315845) | 1.957346 / 1.468490 (0.488856) | 0.481486 / 4.584777 (-4.103291) | 3.574463 / 3.745712 (-0.171249) | 3.399311 / 5.269862 (-1.870551) | 1.996806 / 4.565676 (-2.568870) | 0.056644 / 0.424275 (-0.367631) | 0.007503 / 0.007607 (-0.000104) | 0.479480 / 0.226044 (0.253435) | 4.793686 / 2.268929 (2.524757) | 2.481011 / 55.444624 (-52.963613) | 2.176473 / 6.876477 (-4.700004) | 2.203192 / 2.142072 (0.061120) | 0.574071 / 4.805227 (-4.231156) | 0.131852 / 6.500664 (-6.368812) | 0.058883 / 0.075469 (-0.016586) |

### 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) | 1.249945 / 1.841788 (-0.591842) | 18.439267 / 8.074308 (10.364959) | 14.100934 / 10.191392 (3.909542) | 0.164191 / 0.680424 (-0.516233) | 0.018086 / 0.534201 (-0.516115) | 0.390821 / 0.579283 (-0.188462) | 0.414166 / 0.434364 (-0.020198) | 0.460073 / 0.540337 (-0.080265) | 0.636299 / 1.386936 (-0.750637) |

PyArrow==latest

Show updated benchmarks!

### 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) | 0.006606 / 0.011353 (-0.004747) | 0.003987 / 0.011008 (-0.007021) | 0.064616 / 0.038508 (0.026108) | 0.070830 / 0.023109 (0.047721) | 0.397340 / 0.275898 (0.121442) | 0.426823 / 0.323480 (0.103343) | 0.005345 / 0.007986 (-0.002641) | 0.003264 / 0.004328 (-0.001065) | 0.064728 / 0.004250 (0.060477) | 0.055763 / 0.037052 (0.018711) | 0.405347 / 0.258489 (0.146858) | 0.433163 / 0.293841 (0.139322) | 0.032394 / 0.128546 (-0.096153) | 0.008474 / 0.075646 (-0.067172) | 0.071583 / 0.419271 (-0.347689) | 0.048424 / 0.043533 (0.004892) | 0.400582 / 0.255139 (0.145443) | 0.418111 / 0.283200 (0.134911) | 0.022257 / 0.141683 (-0.119426) | 1.495521 / 1.452155 (0.043366) | 1.554626 / 1.492716 (0.061910) |

### 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) | 0.218249 / 0.018006 (0.200242) | 0.438527 / 0.000490 (0.438037) | 0.005406 / 0.000200 (0.005206) | 0.000098 / 0.000054 (0.000044) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.031600 / 0.037411 (-0.005812) | 0.090836 / 0.014526 (0.076310) | 0.105000 / 0.176557 (-0.071556) | 0.157648 / 0.737135 (-0.579487) | 0.103827 / 0.296338 (-0.192512) |

### 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) | 0.426428 / 0.215209 (0.211219) | 4.259435 / 2.077655 (2.181780) | 2.300795 / 1.504120 (0.796675) | 2.121302 / 1.541195 (0.580108) | 2.145602 / 1.468490 (0.677112) | 0.486856 / 4.584777 (-4.097921) | 3.673568 / 3.745712 (-0.072144) | 3.278619 / 5.269862 (-1.991243) | 2.037760 / 4.565676 (-2.527917) | 0.057699 / 0.424275 (-0.366576) | 0.007269 / 0.007607 (-0.000338) | 0.499549 / 0.226044 (0.273505) | 4.996214 / 2.268929 (2.727285) | 2.766480 / 55.444624 (-52.678144) | 2.417308 / 6.876477 (-4.459168) | 2.581026 / 2.142072 (0.438953) | 0.589463 / 4.805227 (-4.215765) | 0.134820 / 6.500664 (-6.365844) | 0.061699 / 0.075469 (-0.013770) |

### 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) | 1.353704 / 1.841788 (-0.488084) | 19.104167 / 8.074308 (11.029859) | 14.652166 / 10.191392 (4.460774) | 0.171885 / 0.680424 (-0.508539) | 0.020222 / 0.534201 (-0.513978) | 0.396777 / 0.579283 (-0.182506) | 0.426304 / 0.434364 (-0.008060) | 0.471347 / 0.540337 (-0.068991) | 0.635887 / 1.386936 (-0.751049) |

![](https://cml.dev/watermark.png#ce19ec527c581eddec306a03ad1db554223cc94a "CML watermark")

Show benchmarks

PyArrow==8.0.0

Show updated benchmarks!

### 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) | 0.004686 / 0.011353 (-0.006667) | 0.002998 / 0.011008 (-0.008010) | 0.063604 / 0.038508 (0.025096) | 0.048927 / 0.023109 (0.025818) | 0.247238 / 0.275898 (-0.028660) | 0.272409 / 0.323480 (-0.051071) | 0.003909 / 0.007986 (-0.004077) | 0.002469 / 0.004328 (-0.001859) | 0.048473 / 0.004250 (0.044223) | 0.037514 / 0.037052 (0.000462) | 0.257292 / 0.258489 (-0.001197) | 0.285203 / 0.293841 (-0.008638) | 0.023131 / 0.128546 (-0.105415) | 0.006803 / 0.075646 (-0.068843) | 0.202920 / 0.419271 (-0.216351) | 0.035653 / 0.043533 (-0.007880) | 0.254791 / 0.255139 (-0.000348) | 0.272973 / 0.283200 (-0.010226) | 0.017707 / 0.141683 (-0.123976) | 1.091606 / 1.452155 (-0.360549) | 1.151453 / 1.492716 (-0.341263) |

### 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) | 0.093701 / 0.018006 (0.075695) | 0.304199 / 0.000490 (0.303709) | 0.000223 / 0.000200 (0.000023) | 0.000051 / 0.000054 (-0.000003) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.019291 / 0.037411 (-0.018120) | 0.062168 / 0.014526 (0.047642) | 0.073273 / 0.176557 (-0.103284) | 0.119497 / 0.737135 (-0.617638) | 0.075008 / 0.296338 (-0.221331) |

### 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) | 0.279983 / 0.215209 (0.064774) | 2.774413 / 2.077655 (0.696758) | 1.476678 / 1.504120 (-0.027441) | 1.336273 / 1.541195 (-0.204922) | 1.332349 / 1.468490 (-0.136142) | 0.403150 / 4.584777 (-4.181627) | 2.390026 / 3.745712 (-1.355686) | 2.619151 / 5.269862 (-2.650711) | 1.578607 / 4.565676 (-2.987069) | 0.046632 / 0.424275 (-0.377643) | 0.007352 / 0.007607 (-0.000255) | 0.333419 / 0.226044 (0.107375) | 3.288734 / 2.268929 (1.019805) | 1.843677 / 55.444624 (-53.600947) | 1.536746 / 6.876477 (-5.339731) | 1.573005 / 2.142072 (-0.569067) | 0.475699 / 4.805227 (-4.329529) | 0.104742 / 6.500664 (-6.395922) | 0.042450 / 0.075469 (-0.033019) |

### Benchmark: benchmark_map_filter.json

| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |
|--------|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.949039 / 1.841788 (-0.892749) | 11.895928 / 8.074308 (3.821620) | 10.650521 / 10.191392 (0.459129) | 0.142308 / 0.680424 (-0.538116) | 0.014207 / 0.534201 (-0.519994) | 0.274011 / 0.579283 (-0.305272) | 0.288259 / 0.434364 (-0.146105) | 0.327729 / 0.540337 (-0.212609) | 0.395728 / 1.386936 (-0.991208) |

PyArrow==latest

Show updated benchmarks!

### 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) | 0.004830 / 0.011353 (-0.006523) | 0.002978 / 0.011008 (-0.008030) | 0.048623 / 0.038508 (0.010114) | 0.055040 / 0.023109 (0.031930) | 0.276436 / 0.275898 (0.000538) | 0.302403 / 0.323480 (-0.021076) | 0.004080 / 0.007986 (-0.003905) | 0.002479 / 0.004328 (-0.001849) | 0.048078 / 0.004250 (0.043827) | 0.039680 / 0.037052 (0.002627) | 0.279095 / 0.258489 (0.020606) | 0.307399 / 0.293841 (0.013558) | 0.024533 / 0.128546 (-0.104013) | 0.007196 / 0.075646 (-0.068450) | 0.053879 / 0.419271 (-0.365393) | 0.032545 / 0.043533 (-0.010988) | 0.275501 / 0.255139 (0.020362) | 0.298530 / 0.283200 (0.015330) | 0.017992 / 0.141683 (-0.123691) | 1.144191 / 1.452155 (-0.307963) | 1.208309 / 1.492716 (-0.284408) |

### 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) | 0.095690 / 0.018006 (0.077684) | 0.304932 / 0.000490 (0.304442) | 0.000223 / 0.000200 (0.000023) | 0.000055 / 0.000054 (0.000000) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.021409 / 0.037411 (-0.016003) | 0.069861 / 0.014526 (0.055335) | 0.080959 / 0.176557 (-0.095597) | 0.119432 / 0.737135 (-0.617703) | 0.083649 / 0.296338 (-0.212690) |

### 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) | 0.297243 / 0.215209 (0.082034) | 2.909288 / 2.077655 (0.831634) | 1.571512 / 1.504120 (0.067392) | 1.452403 / 1.541195 (-0.088792) | 1.481290 / 1.468490 (0.012800) | 0.405795 / 4.584777 (-4.178982) | 2.452923 / 3.745712 (-1.292789) | 2.513371 / 5.269862 (-2.756490) | 1.593216 / 4.565676 (-2.972460) | 0.048073 / 0.424275 (-0.376202) | 0.005312 / 0.007607 (-0.002296) | 0.355783 / 0.226044 (0.129738) | 3.494062 / 2.268929 (1.225133) | 1.947388 / 55.444624 (-53.497236) | 1.651724 / 6.876477 (-5.224753) | 1.789007 / 2.142072 (-0.353065) | 0.487073 / 4.805227 (-4.318154) | 0.100271 / 6.500664 (-6.400393) | 0.041571 / 0.075469 (-0.033898) |

### Benchmark: benchmark_map_filter.json

| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |
|--------|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.983766 / 1.841788 (-0.858021) | 12.384778 / 8.074308 (4.310469) | 10.669519 / 10.191392 (0.478127) | 0.133105 / 0.680424 (-0.547318) | 0.016665 / 0.534201 (-0.517536) | 0.269479 / 0.579283 (-0.309804) | 0.276498 / 0.434364 (-0.157866) | 0.302105 / 0.540337 (-0.238233) | 0.391204 / 1.386936 (-0.995732) |

![](https://cml.dev/watermark.png#12ebe695b4748c5a26e08b44ed51955f74f5801d "CML watermark")


pin fsspec before it switches to glob.glob

closing in favor of https://github.com/huggingface/datasets/pull/6337

The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6338). All of your documentation changes will be reflected on that endpoint.