Add a parallel implementation of to_tf_dataset()

Hey all! Here's a first draft of the PR to add a multiprocessing implementation for `to_tf_dataset()`. It worked in some quick testing for me, but obviously I need to do some much more rigorous testing/benchmarking, and add some proper library tests.

The core idea is that we do everything using `multiprocessing` and `numpy`, and just wrap a `tf.data.Dataset` around the output. We could also rewrite the existing single-threaded implementation based on this code, which might simplify it a bit.

Checklist:
- [X] Add initial draft
- [x] Check that it works regardless of whether the `collate_fn` or dataset returns `tf` or `np` arrays
- [x] Check that it works with `tf.string` return data
- [x] Check indices are correctly reshuffled each epoch
- [x] Make sure workers don't try to initialize a GPU device!!
- [x] Check `fit()` with multiple epochs works fine and that the progress bar is correct
- [x] Check there are no memory leaks or zombie processes
- [x] Benchmark performance
- [x] Tweak params for dataset inference - can we speed things up there a bit?
- [x] Add tests to the library
- [x] Add a PR to `transformers` to expose the `num_workers` argument via `prepare_tf_dataset` (will merge after this one is released)
- [x] Stop TF console spam!! (almost)
- [x] Add a method for creating SHM that doesn't crash if it was left and still linked
- [x] Add a barrier for Py <= 3.7 because it doesn't support SharedMemory
- [x] Support string dtypes by converting them into fixed-width character arrays

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

Failing because the test server uses Py3.7 but the `SharedMemory` features require Py3.8! I forgot we still support 3.7 for another couple of months. I'm not sure exactly how to proceed, whether I should leave this PR until then, or just gate the feature behind a version check and skip the tests until the Python version catches up.

I haven't played with `NumpyMultiprocessingGenerator` so I can't really help here, but this sounds promising :) Otherwise I think it's also fine to allow `num_workers` only for py>=3.8 for now. You can skip the test on 3.7 and make sure to raise an informative error if someone wants to use `num_workers` with 3.7

Lots of comments here - I'll reply to the specific code comments underneath them, but in response to the general comments:

@gante: I think this approach is much more performant than a `multiprocessing.Pool`. The reason is that when results are returned from a process `Pool`, the returned Python objects are pickled by the child processes, sent down a pipe and unpickled by the parent process. This creates a huge single-process bottleneck as the parent has to unpickle lots of large NumPy arrays, which is quite slow.

When you use a `SharedMemory` approach, the data is just **there** for the parent process - the child and the parent are writing to exactly the same array in memory, and no pickling or unpickling occurs. This means the parent can just immediately copy the array (which is much faster than unpickling) and yield it to `tf.data`. We're taking advantage of the fact that we know the data is just big NumPy arrays and we don't need the full generality of `pickle`.

@lhoestq: Sounds good! I'll add a clear error and skip the tests on Py<=3.7.

Also, an extra technicality, just for information in case anyone looks at this PR later: Recent versions of Python allow [pickled objects to store out-of-band data](https://peps.python.org/pep-0574/). This allows for very efficient zero-copy unpickling of objects like NumPy arrays, with the unpickled object having a view on the same memory as the original. 

However, this explicitly does **not** work when the object is unpickled by a different process than the one that created it. For this to work you must explicitly allocate shared memory and create the array there, which pickle cannot handle for you. As a result, if you just benchmark unpickling vs copying of NumPy arrays it can seem like unpickling is very fast - but this is only true when the pickle was created in the unpickling process!

<details>
<summary>Show benchmarks</summary>

PyArrow==6.0.0

<details>
<summary>Show updated benchmarks!</summary>

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.008666 / 0.011353 (-0.002687) | 0.004624 / 0.011008 (-0.006384) | 0.099247 / 0.038508 (0.060739) | 0.029766 / 0.023109 (0.006657) | 0.303347 / 0.275898 (0.027449) | 0.370022 / 0.323480 (0.046542) | 0.007128 / 0.007986 (-0.000857) | 0.003446 / 0.004328 (-0.000883) | 0.076670 / 0.004250 (0.072420) | 0.038892 / 0.037052 (0.001840) | 0.313035 / 0.258489 (0.054546) | 0.350503 / 0.293841 (0.056662) | 0.033732 / 0.128546 (-0.094815) | 0.011644 / 0.075646 (-0.064003) | 0.323295 / 0.419271 (-0.095977) | 0.040336 / 0.043533 (-0.003196) | 0.302253 / 0.255139 (0.047114) | 0.337199 / 0.283200 (0.053999) | 0.089454 / 0.141683 (-0.052229) | 1.624906 / 1.452155 (0.172752) | 1.546187 / 1.492716 (0.053470) |

### 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) | 0.184614 / 0.018006 (0.166608) | 0.427397 / 0.000490 (0.426907) | 0.003342 / 0.000200 (0.003142) | 0.000079 / 0.000054 (0.000025) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.023684 / 0.037411 (-0.013727) | 0.100095 / 0.014526 (0.085569) | 0.104996 / 0.176557 (-0.071560) | 0.144719 / 0.737135 (-0.592416) | 0.110759 / 0.296338 (-0.185579) |

### 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) | 0.421108 / 0.215209 (0.205899) | 4.214094 / 2.077655 (2.136440) | 1.906231 / 1.504120 (0.402111) | 1.698000 / 1.541195 (0.156806) | 1.744856 / 1.468490 (0.276366) | 0.693671 / 4.584777 (-3.891106) | 3.362522 / 3.745712 (-0.383190) | 1.878470 / 5.269862 (-3.391392) | 1.167563 / 4.565676 (-3.398113) | 0.082455 / 0.424275 (-0.341820) | 0.012261 / 0.007607 (0.004654) | 0.525196 / 0.226044 (0.299152) | 5.257553 / 2.268929 (2.988624) | 2.298286 / 55.444624 (-53.146339) | 1.956106 / 6.876477 (-4.920371) | 2.006308 / 2.142072 (-0.135764) | 0.811069 / 4.805227 (-3.994158) | 0.150368 / 6.500664 (-6.350296) | 0.065699 / 0.075469 (-0.009771) |

### 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) | 1.224516 / 1.841788 (-0.617272) | 13.619084 / 8.074308 (5.544776) | 14.096666 / 10.191392 (3.905274) | 0.151068 / 0.680424 (-0.529356) | 0.028819 / 0.534201 (-0.505382) | 0.402071 / 0.579283 (-0.177212) | 0.408647 / 0.434364 (-0.025717) | 0.466605 / 0.540337 (-0.073733) | 0.547094 / 1.386936 (-0.839842) |

</details>
PyArrow==latest

<details>
<summary>Show updated benchmarks!</summary>

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.006935 / 0.011353 (-0.004418) | 0.004590 / 0.011008 (-0.006419) | 0.099398 / 0.038508 (0.060890) | 0.028145 / 0.023109 (0.005036) | 0.426582 / 0.275898 (0.150684) | 0.465712 / 0.323480 (0.142233) | 0.005254 / 0.007986 (-0.002731) | 0.004956 / 0.004328 (0.000627) | 0.075616 / 0.004250 (0.071365) | 0.039871 / 0.037052 (0.002819) | 0.428859 / 0.258489 (0.170370) | 0.470839 / 0.293841 (0.176998) | 0.032150 / 0.128546 (-0.096396) | 0.011778 / 0.075646 (-0.063868) | 0.322358 / 0.419271 (-0.096913) | 0.041974 / 0.043533 (-0.001559) | 0.427459 / 0.255139 (0.172320) | 0.446685 / 0.283200 (0.163485) | 0.092000 / 0.141683 (-0.049683) | 1.509231 / 1.452155 (0.057076) | 1.578950 / 1.492716 (0.086234) |

### 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) | 0.168047 / 0.018006 (0.150041) | 0.418993 / 0.000490 (0.418503) | 0.002855 / 0.000200 (0.002655) | 0.000080 / 0.000054 (0.000026) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.025652 / 0.037411 (-0.011759) | 0.100141 / 0.014526 (0.085616) | 0.107293 / 0.176557 (-0.069264) | 0.142857 / 0.737135 (-0.594278) | 0.110933 / 0.296338 (-0.185406) |

### 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) | 0.477556 / 0.215209 (0.262347) | 4.777951 / 2.077655 (2.700296) | 2.461885 / 1.504120 (0.957765) | 2.252307 / 1.541195 (0.711112) | 2.307983 / 1.468490 (0.839493) | 0.697570 / 4.584777 (-3.887207) | 3.370323 / 3.745712 (-0.375389) | 3.131333 / 5.269862 (-2.138529) | 1.594839 / 4.565676 (-2.970838) | 0.082333 / 0.424275 (-0.341942) | 0.012574 / 0.007607 (0.004967) | 0.583704 / 0.226044 (0.357660) | 5.817675 / 2.268929 (3.548746) | 2.927054 / 55.444624 (-52.517570) | 2.582929 / 6.876477 (-4.293548) | 2.634275 / 2.142072 (0.492202) | 0.806407 / 4.805227 (-3.998821) | 0.151438 / 6.500664 (-6.349226) | 0.067429 / 0.075469 (-0.008040) |

### 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) | 1.267011 / 1.841788 (-0.574776) | 13.989515 / 8.074308 (5.915207) | 14.087968 / 10.191392 (3.896576) | 0.142130 / 0.680424 (-0.538293) | 0.017201 / 0.534201 (-0.517000) | 0.383394 / 0.579283 (-0.195889) | 0.381921 / 0.434364 (-0.052443) | 0.439169 / 0.540337 (-0.101168) | 0.524215 / 1.386936 (-0.862721) |

</details>
</details>

![](https://cml.dev/watermark.png#be2ebc8f3cfeb532c933be2443094603bafcab04 "CML watermark")


<details>
<summary>Show benchmarks</summary>

PyArrow==6.0.0

<details>
<summary>Show updated benchmarks!</summary>

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.008489 / 0.011353 (-0.002864) | 0.004617 / 0.011008 (-0.006391) | 0.102035 / 0.038508 (0.063527) | 0.029850 / 0.023109 (0.006741) | 0.296789 / 0.275898 (0.020891) | 0.367270 / 0.323480 (0.043790) | 0.006934 / 0.007986 (-0.001052) | 0.004923 / 0.004328 (0.000595) | 0.079150 / 0.004250 (0.074900) | 0.036884 / 0.037052 (-0.000169) | 0.305747 / 0.258489 (0.047258) | 0.348510 / 0.293841 (0.054669) | 0.034074 / 0.128546 (-0.094472) | 0.011650 / 0.075646 (-0.063997) | 0.324226 / 0.419271 (-0.095045) | 0.041763 / 0.043533 (-0.001770) | 0.300887 / 0.255139 (0.045748) | 0.333393 / 0.283200 (0.050193) | 0.093838 / 0.141683 (-0.047844) | 1.499801 / 1.452155 (0.047646) | 1.505988 / 1.492716 (0.013272) |

### 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) | 0.198610 / 0.018006 (0.180604) | 0.407380 / 0.000490 (0.406891) | 0.000367 / 0.000200 (0.000167) | 0.000059 / 0.000054 (0.000005) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.022858 / 0.037411 (-0.014554) | 0.095727 / 0.014526 (0.081202) | 0.104014 / 0.176557 (-0.072543) | 0.138764 / 0.737135 (-0.598371) | 0.105860 / 0.296338 (-0.190478) |

### 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) | 0.416352 / 0.215209 (0.201143) | 4.150007 / 2.077655 (2.072352) | 1.878727 / 1.504120 (0.374607) | 1.678978 / 1.541195 (0.137783) | 1.711990 / 1.468490 (0.243500) | 0.691722 / 4.584777 (-3.893055) | 3.386466 / 3.745712 (-0.359246) | 1.835730 / 5.269862 (-3.434132) | 1.149975 / 4.565676 (-3.415702) | 0.081914 / 0.424275 (-0.342362) | 0.012238 / 0.007607 (0.004631) | 0.522945 / 0.226044 (0.296900) | 5.251793 / 2.268929 (2.982864) | 2.306907 / 55.444624 (-53.137717) | 1.968400 / 6.876477 (-4.908076) | 1.981154 / 2.142072 (-0.160919) | 0.810126 / 4.805227 (-3.995101) | 0.147876 / 6.500664 (-6.352788) | 0.064042 / 0.075469 (-0.011428) |

### 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) | 1.199150 / 1.841788 (-0.642637) | 13.913473 / 8.074308 (5.839165) | 14.079132 / 10.191392 (3.887740) | 0.137387 / 0.680424 (-0.543037) | 0.028456 / 0.534201 (-0.505745) | 0.394162 / 0.579283 (-0.185122) | 0.402051 / 0.434364 (-0.032313) | 0.461944 / 0.540337 (-0.078394) | 0.542648 / 1.386936 (-0.844288) |

</details>
PyArrow==latest

<details>
<summary>Show updated benchmarks!</summary>

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.006393 / 0.011353 (-0.004960) | 0.004599 / 0.011008 (-0.006409) | 0.097389 / 0.038508 (0.058881) | 0.027719 / 0.023109 (0.004610) | 0.341060 / 0.275898 (0.065162) | 0.379604 / 0.323480 (0.056124) | 0.004955 / 0.007986 (-0.003030) | 0.003369 / 0.004328 (-0.000959) | 0.075390 / 0.004250 (0.071139) | 0.038518 / 0.037052 (0.001466) | 0.347085 / 0.258489 (0.088596) | 0.393468 / 0.293841 (0.099627) | 0.031482 / 0.128546 (-0.097064) | 0.011585 / 0.075646 (-0.064061) | 0.317969 / 0.419271 (-0.101302) | 0.041389 / 0.043533 (-0.002144) | 0.343812 / 0.255139 (0.088673) | 0.371047 / 0.283200 (0.087848) | 0.090020 / 0.141683 (-0.051663) | 1.461690 / 1.452155 (0.009536) | 1.552458 / 1.492716 (0.059741) |

### 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) | 0.188691 / 0.018006 (0.170684) | 0.415635 / 0.000490 (0.415145) | 0.005285 / 0.000200 (0.005085) | 0.000087 / 0.000054 (0.000033) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.024695 / 0.037411 (-0.012716) | 0.098939 / 0.014526 (0.084413) | 0.108472 / 0.176557 (-0.068085) | 0.152635 / 0.737135 (-0.584501) | 0.109947 / 0.296338 (-0.186391) |

### 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) | 0.471975 / 0.215209 (0.256766) | 4.716437 / 2.077655 (2.638782) | 2.420148 / 1.504120 (0.916028) | 2.219864 / 1.541195 (0.678669) | 2.238647 / 1.468490 (0.770157) | 0.697628 / 4.584777 (-3.887149) | 3.530720 / 3.745712 (-0.214993) | 3.327354 / 5.269862 (-1.942508) | 1.665877 / 4.565676 (-2.899800) | 0.082650 / 0.424275 (-0.341625) | 0.012593 / 0.007607 (0.004986) | 0.576109 / 0.226044 (0.350065) | 5.744691 / 2.268929 (3.475762) | 2.863473 / 55.444624 (-52.581152) | 2.529616 / 6.876477 (-4.346861) | 2.562802 / 2.142072 (0.420730) | 0.805631 / 4.805227 (-3.999597) | 0.150788 / 6.500664 (-6.349876) | 0.065743 / 0.075469 (-0.009726) |

### 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) | 1.295134 / 1.841788 (-0.546654) | 14.096046 / 8.074308 (6.021738) | 13.901399 / 10.191392 (3.710007) | 0.127481 / 0.680424 (-0.552943) | 0.016666 / 0.534201 (-0.517535) | 0.381819 / 0.579283 (-0.197464) | 0.382629 / 0.434364 (-0.051735) | 0.439354 / 0.540337 (-0.100984) | 0.527662 / 1.386936 (-0.859274) |

</details>
</details>

![](https://cml.dev/watermark.png#0fe2ad43f59e65d39f2f2ce7442c76990493deb7 "CML watermark")


<details>
<summary>Show benchmarks</summary>

PyArrow==6.0.0

<details>
<summary>Show updated benchmarks!</summary>

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.008509 / 0.011353 (-0.002844) | 0.004523 / 0.011008 (-0.006485) | 0.100616 / 0.038508 (0.062108) | 0.029573 / 0.023109 (0.006464) | 0.306414 / 0.275898 (0.030516) | 0.377034 / 0.323480 (0.053554) | 0.007621 / 0.007986 (-0.000365) | 0.003335 / 0.004328 (-0.000993) | 0.078598 / 0.004250 (0.074348) | 0.036902 / 0.037052 (-0.000150) | 0.318146 / 0.258489 (0.059657) | 0.355626 / 0.293841 (0.061785) | 0.033441 / 0.128546 (-0.095105) | 0.011552 / 0.075646 (-0.064094) | 0.322973 / 0.419271 (-0.096299) | 0.040564 / 0.043533 (-0.002968) | 0.306451 / 0.255139 (0.051312) | 0.337591 / 0.283200 (0.054392) | 0.086822 / 0.141683 (-0.054861) | 1.484601 / 1.452155 (0.032447) | 1.542777 / 1.492716 (0.050061) |

### 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) | 0.201711 / 0.018006 (0.183705) | 0.418387 / 0.000490 (0.417898) | 0.002753 / 0.000200 (0.002553) | 0.000263 / 0.000054 (0.000209) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.023016 / 0.037411 (-0.014395) | 0.097313 / 0.014526 (0.082787) | 0.103435 / 0.176557 (-0.073122) | 0.142665 / 0.737135 (-0.594470) | 0.107397 / 0.296338 (-0.188942) |

### 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) | 0.422739 / 0.215209 (0.207530) | 4.220126 / 2.077655 (2.142471) | 1.865447 / 1.504120 (0.361327) | 1.649647 / 1.541195 (0.108453) | 1.711655 / 1.468490 (0.243165) | 0.704269 / 4.584777 (-3.880508) | 3.407390 / 3.745712 (-0.338322) | 1.929224 / 5.269862 (-3.340638) | 1.281225 / 4.565676 (-3.284452) | 0.082924 / 0.424275 (-0.341351) | 0.012588 / 0.007607 (0.004981) | 0.531025 / 0.226044 (0.304980) | 5.339441 / 2.268929 (3.070512) | 2.298969 / 55.444624 (-53.145656) | 1.952145 / 6.876477 (-4.924332) | 2.034754 / 2.142072 (-0.107318) | 0.823672 / 4.805227 (-3.981555) | 0.151465 / 6.500664 (-6.349199) | 0.066663 / 0.075469 (-0.008807) |

### 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) | 1.258981 / 1.841788 (-0.582807) | 13.791640 / 8.074308 (5.717332) | 14.001514 / 10.191392 (3.810122) | 0.149805 / 0.680424 (-0.530619) | 0.028614 / 0.534201 (-0.505587) | 0.400266 / 0.579283 (-0.179017) | 0.405891 / 0.434364 (-0.028473) | 0.471903 / 0.540337 (-0.068435) | 0.563656 / 1.386936 (-0.823280) |

</details>
PyArrow==latest

<details>
<summary>Show updated benchmarks!</summary>

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.006751 / 0.011353 (-0.004601) | 0.004665 / 0.011008 (-0.006343) | 0.098362 / 0.038508 (0.059854) | 0.027451 / 0.023109 (0.004342) | 0.421859 / 0.275898 (0.145961) | 0.458089 / 0.323480 (0.134609) | 0.004885 / 0.007986 (-0.003101) | 0.003459 / 0.004328 (-0.000870) | 0.075871 / 0.004250 (0.071621) | 0.036591 / 0.037052 (-0.000462) | 0.423307 / 0.258489 (0.164818) | 0.467040 / 0.293841 (0.173199) | 0.031837 / 0.128546 (-0.096710) | 0.011604 / 0.075646 (-0.064042) | 0.321132 / 0.419271 (-0.098140) | 0.041806 / 0.043533 (-0.001727) | 0.421653 / 0.255139 (0.166514) | 0.445896 / 0.283200 (0.162696) | 0.087998 / 0.141683 (-0.053685) | 1.475818 / 1.452155 (0.023664) | 1.559487 / 1.492716 (0.066770) |

### 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) | 0.203096 / 0.018006 (0.185090) | 0.401381 / 0.000490 (0.400892) | 0.004037 / 0.000200 (0.003837) | 0.000080 / 0.000054 (0.000026) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.023757 / 0.037411 (-0.013654) | 0.099919 / 0.014526 (0.085393) | 0.108384 / 0.176557 (-0.068173) | 0.143780 / 0.737135 (-0.593355) | 0.111528 / 0.296338 (-0.184811) |

### 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) | 0.475896 / 0.215209 (0.260686) | 4.754567 / 2.077655 (2.676912) | 2.444986 / 1.504120 (0.940866) | 2.231055 / 1.541195 (0.689860) | 2.283646 / 1.468490 (0.815156) | 0.701303 / 4.584777 (-3.883474) | 3.381597 / 3.745712 (-0.364115) | 1.878714 / 5.269862 (-3.391148) | 1.171566 / 4.565676 (-3.394111) | 0.083106 / 0.424275 (-0.341169) | 0.012575 / 0.007607 (0.004967) | 0.582570 / 0.226044 (0.356526) | 5.813677 / 2.268929 (3.544748) | 2.908578 / 55.444624 (-52.536046) | 2.548459 / 6.876477 (-4.328017) | 2.581211 / 2.142072 (0.439139) | 0.807925 / 4.805227 (-3.997302) | 0.153516 / 6.500664 (-6.347148) | 0.068763 / 0.075469 (-0.006706) |

### 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) | 1.249595 / 1.841788 (-0.592193) | 14.208573 / 8.074308 (6.134265) | 14.179174 / 10.191392 (3.987781) | 0.156005 / 0.680424 (-0.524419) | 0.017045 / 0.534201 (-0.517156) | 0.377414 / 0.579283 (-0.201869) | 0.395291 / 0.434364 (-0.039073) | 0.444642 / 0.540337 (-0.095695) | 0.531626 / 1.386936 (-0.855311) |

</details>
</details>

![](https://cml.dev/watermark.png#52888645daa6854928474df6308bd997c8878ced "CML watermark")


<details>
<summary>Show benchmarks</summary>

PyArrow==6.0.0

<details>
<summary>Show updated benchmarks!</summary>

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.008871 / 0.011353 (-0.002482) | 0.004616 / 0.011008 (-0.006392) | 0.100910 / 0.038508 (0.062402) | 0.030381 / 0.023109 (0.007272) | 0.304636 / 0.275898 (0.028737) | 0.384258 / 0.323480 (0.060778) | 0.007019 / 0.007986 (-0.000966) | 0.004262 / 0.004328 (-0.000066) | 0.077082 / 0.004250 (0.072832) | 0.035235 / 0.037052 (-0.001817) | 0.318293 / 0.258489 (0.059804) | 0.356578 / 0.293841 (0.062737) | 0.033568 / 0.128546 (-0.094978) | 0.011583 / 0.075646 (-0.064063) | 0.322442 / 0.419271 (-0.096830) | 0.041941 / 0.043533 (-0.001592) | 0.310469 / 0.255139 (0.055330) | 0.335626 / 0.283200 (0.052427) | 0.088195 / 0.141683 (-0.053487) | 1.466778 / 1.452155 (0.014623) | 1.512459 / 1.492716 (0.019743) |

### 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) | 0.184126 / 0.018006 (0.166120) | 0.413392 / 0.000490 (0.412902) | 0.002191 / 0.000200 (0.001992) | 0.000072 / 0.000054 (0.000018) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.023426 / 0.037411 (-0.013985) | 0.096240 / 0.014526 (0.081715) | 0.105908 / 0.176557 (-0.070648) | 0.146331 / 0.737135 (-0.590804) | 0.107441 / 0.296338 (-0.188898) |

### 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) | 0.420018 / 0.215209 (0.204809) | 4.198129 / 2.077655 (2.120474) | 1.998726 / 1.504120 (0.494606) | 1.870410 / 1.541195 (0.329215) | 1.925160 / 1.468490 (0.456670) | 0.688790 / 4.584777 (-3.895987) | 3.430629 / 3.745712 (-0.315083) | 2.875616 / 5.269862 (-2.394246) | 1.566269 / 4.565676 (-2.999408) | 0.082431 / 0.424275 (-0.341844) | 0.012409 / 0.007607 (0.004802) | 0.536178 / 0.226044 (0.310134) | 5.342918 / 2.268929 (3.073989) | 2.410814 / 55.444624 (-53.033811) | 2.056518 / 6.876477 (-4.819958) | 2.240148 / 2.142072 (0.098075) | 0.804848 / 4.805227 (-4.000379) | 0.147325 / 6.500664 (-6.353340) | 0.064217 / 0.075469 (-0.011252) |

### 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) | 1.285725 / 1.841788 (-0.556063) | 13.909739 / 8.074308 (5.835431) | 14.025774 / 10.191392 (3.834382) | 0.142413 / 0.680424 (-0.538011) | 0.028390 / 0.534201 (-0.505811) | 0.402345 / 0.579283 (-0.176939) | 0.404341 / 0.434364 (-0.030023) | 0.463055 / 0.540337 (-0.077282) | 0.556811 / 1.386936 (-0.830125) |

</details>
PyArrow==latest

<details>
<summary>Show updated benchmarks!</summary>

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.006557 / 0.011353 (-0.004795) | 0.004668 / 0.011008 (-0.006340) | 0.098839 / 0.038508 (0.060331) | 0.027618 / 0.023109 (0.004508) | 0.409338 / 0.275898 (0.133440) | 0.444048 / 0.323480 (0.120568) | 0.004881 / 0.007986 (-0.003105) | 0.003434 / 0.004328 (-0.000895) | 0.076497 / 0.004250 (0.072247) | 0.038932 / 0.037052 (0.001880) | 0.411419 / 0.258489 (0.152930) | 0.451167 / 0.293841 (0.157326) | 0.031649 / 0.128546 (-0.096897) | 0.011691 / 0.075646 (-0.063955) | 0.321586 / 0.419271 (-0.097685) | 0.041984 / 0.043533 (-0.001549) | 0.407717 / 0.255139 (0.152578) | 0.434687 / 0.283200 (0.151487) | 0.086419 / 0.141683 (-0.055264) | 1.491755 / 1.452155 (0.039601) | 1.569081 / 1.492716 (0.076364) |

### 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) | 0.231746 / 0.018006 (0.213739) | 0.412271 / 0.000490 (0.411781) | 0.000403 / 0.000200 (0.000203) | 0.000063 / 0.000054 (0.000008) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.024264 / 0.037411 (-0.013147) | 0.100478 / 0.014526 (0.085952) | 0.107065 / 0.176557 (-0.069491) | 0.140724 / 0.737135 (-0.596412) | 0.110631 / 0.296338 (-0.185707) |

### 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) | 0.472476 / 0.215209 (0.257267) | 4.738919 / 2.077655 (2.661265) | 2.438049 / 1.504120 (0.933929) | 2.237855 / 1.541195 (0.696660) | 2.282885 / 1.468490 (0.814395) | 0.690420 / 4.584777 (-3.894357) | 3.426487 / 3.745712 (-0.319225) | 1.842443 / 5.269862 (-3.427418) | 1.154466 / 4.565676 (-3.411210) | 0.082166 / 0.424275 (-0.342109) | 0.012309 / 0.007607 (0.004701) | 0.574730 / 0.226044 (0.348686) | 5.737566 / 2.268929 (3.468638) | 2.882405 / 55.444624 (-52.562220) | 2.540276 / 6.876477 (-4.336201) | 2.552356 / 2.142072 (0.410283) | 0.796413 / 4.805227 (-4.008815) | 0.152705 / 6.500664 (-6.347959) | 0.068273 / 0.075469 (-0.007196) |

### 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) | 1.244423 / 1.841788 (-0.597365) | 13.827750 / 8.074308 (5.753442) | 14.074083 / 10.191392 (3.882691) | 0.140291 / 0.680424 (-0.540133) | 0.017337 / 0.534201 (-0.516864) | 0.389314 / 0.579283 (-0.189969) | 0.390914 / 0.434364 (-0.043450) | 0.450333 / 0.540337 (-0.090004) | 0.543860 / 1.386936 (-0.843076) |

</details>
</details>

![](https://cml.dev/watermark.png#2cdcddc51d3cda24c2d79ad137af9e55d0a38044 "CML watermark")


<details>
<summary>Show benchmarks</summary>

PyArrow==6.0.0

<details>
<summary>Show updated benchmarks!</summary>

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.009490 / 0.011353 (-0.001863) | 0.005211 / 0.011008 (-0.005798) | 0.100884 / 0.038508 (0.062376) | 0.035834 / 0.023109 (0.012725) | 0.293623 / 0.275898 (0.017724) | 0.378118 / 0.323480 (0.054638) | 0.008106 / 0.007986 (0.000120) | 0.005339 / 0.004328 (0.001010) | 0.076311 / 0.004250 (0.072061) | 0.045954 / 0.037052 (0.008902) | 0.308163 / 0.258489 (0.049674) | 0.353470 / 0.293841 (0.059629) | 0.038539 / 0.128546 (-0.090008) | 0.012174 / 0.075646 (-0.063472) | 0.334875 / 0.419271 (-0.084396) | 0.048602 / 0.043533 (0.005069) | 0.295803 / 0.255139 (0.040664) | 0.318894 / 0.283200 (0.035695) | 0.105487 / 0.141683 (-0.036195) | 1.433628 / 1.452155 (-0.018526) | 1.466843 / 1.492716 (-0.025873) |

### 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) | 0.203426 / 0.018006 (0.185419) | 0.456877 / 0.000490 (0.456387) | 0.001452 / 0.000200 (0.001252) | 0.000088 / 0.000054 (0.000033) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.028308 / 0.037411 (-0.009103) | 0.108965 / 0.014526 (0.094439) | 0.119552 / 0.176557 (-0.057005) | 0.156371 / 0.737135 (-0.580765) | 0.124141 / 0.296338 (-0.172197) |

### 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) | 0.400183 / 0.215209 (0.184973) | 3.990983 / 2.077655 (1.913329) | 1.806729 / 1.504120 (0.302609) | 1.611944 / 1.541195 (0.070750) | 1.740019 / 1.468490 (0.271529) | 0.699600 / 4.584777 (-3.885177) | 3.868711 / 3.745712 (0.122999) | 3.249758 / 5.269862 (-2.020103) | 1.832213 / 4.565676 (-2.733463) | 0.085282 / 0.424275 (-0.338993) | 0.012726 / 0.007607 (0.005119) | 0.509385 / 0.226044 (0.283341) | 5.066913 / 2.268929 (2.797984) | 2.325710 / 55.444624 (-53.118914) | 1.962238 / 6.876477 (-4.914239) | 2.017576 / 2.142072 (-0.124496) | 0.839444 / 4.805227 (-3.965783) | 0.166936 / 6.500664 (-6.333728) | 0.064546 / 0.075469 (-0.010923) |

### 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) | 1.196396 / 1.841788 (-0.645392) | 15.077063 / 8.074308 (7.002755) | 14.268103 / 10.191392 (4.076711) | 0.163782 / 0.680424 (-0.516642) | 0.028794 / 0.534201 (-0.505407) | 0.440564 / 0.579283 (-0.138719) | 0.439826 / 0.434364 (0.005463) | 0.514786 / 0.540337 (-0.025551) | 0.603353 / 1.386936 (-0.783583) |

</details>
PyArrow==latest

<details>
<summary>Show updated benchmarks!</summary>

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.007874 / 0.011353 (-0.003479) | 0.005347 / 0.011008 (-0.005661) | 0.099461 / 0.038508 (0.060953) | 0.034010 / 0.023109 (0.010901) | 0.384650 / 0.275898 (0.108752) | 0.423827 / 0.323480 (0.100347) | 0.006201 / 0.007986 (-0.001784) | 0.004212 / 0.004328 (-0.000117) | 0.074354 / 0.004250 (0.070104) | 0.051675 / 0.037052 (0.014623) | 0.392488 / 0.258489 (0.133999) | 0.425828 / 0.293841 (0.131987) | 0.037444 / 0.128546 (-0.091103) | 0.012388 / 0.075646 (-0.063258) | 0.334482 / 0.419271 (-0.084789) | 0.050715 / 0.043533 (0.007182) | 0.378323 / 0.255139 (0.123184) | 0.395450 / 0.283200 (0.112250) | 0.108403 / 0.141683 (-0.033280) | 1.426803 / 1.452155 (-0.025352) | 1.532417 / 1.492716 (0.039701) |

### 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) | 0.219989 / 0.018006 (0.201982) | 0.454101 / 0.000490 (0.453611) | 0.000407 / 0.000200 (0.000207) | 0.000056 / 0.000054 (0.000002) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.030590 / 0.037411 (-0.006822) | 0.113483 / 0.014526 (0.098957) | 0.122603 / 0.176557 (-0.053954) | 0.161031 / 0.737135 (-0.576104) | 0.128039 / 0.296338 (-0.168300) |

### 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) | 0.430458 / 0.215209 (0.215249) | 4.286594 / 2.077655 (2.208940) | 2.056666 / 1.504120 (0.552546) | 1.861142 / 1.541195 (0.319948) | 1.937185 / 1.468490 (0.468695) | 0.701881 / 4.584777 (-3.882896) | 3.970144 / 3.745712 (0.224432) | 2.107118 / 5.269862 (-3.162744) | 1.351561 / 4.565676 (-3.214115) | 0.085470 / 0.424275 (-0.338805) | 0.012366 / 0.007607 (0.004759) | 0.525212 / 0.226044 (0.299168) | 5.301553 / 2.268929 (3.032625) | 2.593862 / 55.444624 (-52.850763) | 2.287315 / 6.876477 (-4.589161) | 2.368249 / 2.142072 (0.226176) | 0.855656 / 4.805227 (-3.949571) | 0.167846 / 6.500664 (-6.332818) | 0.064521 / 0.075469 (-0.010948) |

### 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) | 1.237008 / 1.841788 (-0.604779) | 15.784303 / 8.074308 (7.709995) | 14.613081 / 10.191392 (4.421689) | 0.161012 / 0.680424 (-0.519412) | 0.017928 / 0.534201 (-0.516273) | 0.423905 / 0.579283 (-0.155378) | 0.428316 / 0.434364 (-0.006048) | 0.500226 / 0.540337 (-0.040112) | 0.606725 / 1.386936 (-0.780211) |

</details>
</details>

![](https://cml.dev/watermark.png#08473e2ee66acb7e6f82d3591bb9b03924a661ed "CML watermark")


<details>
<summary>Show benchmarks</summary>

PyArrow==6.0.0

<details>
<summary>Show updated benchmarks!</summary>

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.008874 / 0.011353 (-0.002479) | 0.004581 / 0.011008 (-0.006428) | 0.100180 / 0.038508 (0.061672) | 0.029990 / 0.023109 (0.006880) | 0.301616 / 0.275898 (0.025718) | 0.343662 / 0.323480 (0.020183) | 0.007111 / 0.007986 (-0.000875) | 0.003428 / 0.004328 (-0.000900) | 0.078031 / 0.004250 (0.073780) | 0.037332 / 0.037052 (0.000279) | 0.301977 / 0.258489 (0.043488) | 0.345581 / 0.293841 (0.051740) | 0.034305 / 0.128546 (-0.094241) | 0.011660 / 0.075646 (-0.063986) | 0.322289 / 0.419271 (-0.096982) | 0.041488 / 0.043533 (-0.002045) | 0.301612 / 0.255139 (0.046473) | 0.328174 / 0.283200 (0.044974) | 0.085561 / 0.141683 (-0.056122) | 1.482114 / 1.452155 (0.029959) | 1.556194 / 1.492716 (0.063478) |

### 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) | 0.186989 / 0.018006 (0.168983) | 0.421499 / 0.000490 (0.421009) | 0.001193 / 0.000200 (0.000993) | 0.000070 / 0.000054 (0.000016) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.023551 / 0.037411 (-0.013861) | 0.099868 / 0.014526 (0.085343) | 0.105233 / 0.176557 (-0.071324) | 0.141628 / 0.737135 (-0.595507) | 0.109004 / 0.296338 (-0.187335) |

### 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) | 0.415189 / 0.215209 (0.199979) | 4.145716 / 2.077655 (2.068061) | 1.837917 / 1.504120 (0.333797) | 1.635043 / 1.541195 (0.093848) | 1.683299 / 1.468490 (0.214809) | 0.688538 / 4.584777 (-3.896239) | 3.412628 / 3.745712 (-0.333084) | 1.877456 / 5.269862 (-3.392405) | 1.154129 / 4.565676 (-3.411547) | 0.081850 / 0.424275 (-0.342425) | 0.012309 / 0.007607 (0.004702) | 0.522830 / 0.226044 (0.296785) | 5.238685 / 2.268929 (2.969756) | 2.277840 / 55.444624 (-53.166784) | 1.941787 / 6.876477 (-4.934690) | 1.999688 / 2.142072 (-0.142385) | 0.807590 / 4.805227 (-3.997637) | 0.148157 / 6.500664 (-6.352507) | 0.064898 / 0.075469 (-0.010571) |

### 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) | 1.253859 / 1.841788 (-0.587929) | 13.676097 / 8.074308 (5.601789) | 14.237837 / 10.191392 (4.046444) | 0.137178 / 0.680424 (-0.543246) | 0.028971 / 0.534201 (-0.505230) | 0.400380 / 0.579283 (-0.178903) | 0.409990 / 0.434364 (-0.024374) | 0.462552 / 0.540337 (-0.077786) | 0.552153 / 1.386936 (-0.834783) |

</details>
PyArrow==latest

<details>
<summary>Show updated benchmarks!</summary>

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.006831 / 0.011353 (-0.004522) | 0.004627 / 0.011008 (-0.006381) | 0.099883 / 0.038508 (0.061375) | 0.028072 / 0.023109 (0.004962) | 0.343556 / 0.275898 (0.067658) | 0.386792 / 0.323480 (0.063312) | 0.005080 / 0.007986 (-0.002906) | 0.003508 / 0.004328 (-0.000820) | 0.077803 / 0.004250 (0.073552) | 0.040038 / 0.037052 (0.002985) | 0.345089 / 0.258489 (0.086600) | 0.396078 / 0.293841 (0.102238) | 0.032241 / 0.128546 (-0.096305) | 0.011711 / 0.075646 (-0.063935) | 0.320531 / 0.419271 (-0.098740) | 0.043658 / 0.043533 (0.000125) | 0.344696 / 0.255139 (0.089557) | 0.389847 / 0.283200 (0.106648) | 0.092328 / 0.141683 (-0.049355) | 1.477290 / 1.452155 (0.025136) | 1.548698 / 1.492716 (0.055982) |

### 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) | 0.236073 / 0.018006 (0.218067) | 0.422113 / 0.000490 (0.421624) | 0.000431 / 0.000200 (0.000231) | 0.000060 / 0.000054 (0.000005) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.024738 / 0.037411 (-0.012673) | 0.100546 / 0.014526 (0.086020) | 0.107550 / 0.176557 (-0.069006) | 0.146056 / 0.737135 (-0.591079) | 0.112665 / 0.296338 (-0.183674) |

### 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) | 0.490259 / 0.215209 (0.275050) | 4.907994 / 2.077655 (2.830339) | 2.547175 / 1.504120 (1.043055) | 2.344419 / 1.541195 (0.803224) | 2.403985 / 1.468490 (0.935495) | 0.696011 / 4.584777 (-3.888766) | 3.442426 / 3.745712 (-0.303286) | 1.878702 / 5.269862 (-3.391159) | 1.158280 / 4.565676 (-3.407396) | 0.082300 / 0.424275 (-0.341975) | 0.012513 / 0.007607 (0.004906) | 0.602696 / 0.226044 (0.376651) | 6.014592 / 2.268929 (3.745663) | 3.014466 / 55.444624 (-52.430159) | 2.669376 / 6.876477 (-4.207101) | 2.724485 / 2.142072 (0.582412) | 0.799795 / 4.805227 (-4.005432) | 0.151220 / 6.500664 (-6.349444) | 0.067486 / 0.075469 (-0.007983) |

### 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) | 1.281265 / 1.841788 (-0.560523) | 14.362284 / 8.074308 (6.287976) | 14.313690 / 10.191392 (4.122298) | 0.142870 / 0.680424 (-0.537554) | 0.017206 / 0.534201 (-0.516995) | 0.380084 / 0.579283 (-0.199199) | 0.388161 / 0.434364 (-0.046203) | 0.442617 / 0.540337 (-0.097721) | 0.528487 / 1.386936 (-0.858449) |

</details>
</details>

![](https://cml.dev/watermark.png#452b7f8ae78967dc662f5436e751233d46c62e78 "CML watermark")


@lhoestq @amyeroberts @gante I did a substantial rewrite and all tests are passing now (Windows seems to time out or something and I can't figure out why - not sure if that's related to this PR!). I also confirmed tests are passing locally with Py==3.10. 

Aside from incorporating everyone's comments, I also made a context manager to create and handle shared memory - this ensures that shared memory is cleaned up even if execution is interrupted. Also, shared memory names include a UUID string now to avoid collisions. Finally, string arrays are now split up into fixed-width character arrays in the workers so that they can be passed through shared memory, and the parent process reconstructs them into string arrays.

Update: `test_arrow_dataset.py` ran fine in this branch on my Windows machine (Py 3.10), so I have no idea what's up with those tests

<details>
<summary>Show benchmarks</summary>

PyArrow==6.0.0

<details>
<summary>Show updated benchmarks!</summary>

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.008852 / 0.011353 (-0.002500) | 0.004545 / 0.011008 (-0.006464) | 0.099814 / 0.038508 (0.061306) | 0.030314 / 0.023109 (0.007205) | 0.310426 / 0.275898 (0.034528) | 0.366893 / 0.323480 (0.043413) | 0.007183 / 0.007986 (-0.000802) | 0.003476 / 0.004328 (-0.000853) | 0.077566 / 0.004250 (0.073315) | 0.038269 / 0.037052 (0.001217) | 0.319133 / 0.258489 (0.060644) | 0.352399 / 0.293841 (0.058558) | 0.033847 / 0.128546 (-0.094700) | 0.011568 / 0.075646 (-0.064078) | 0.321355 / 0.419271 (-0.097917) | 0.040719 / 0.043533 (-0.002814) | 0.304812 / 0.255139 (0.049673) | 0.329512 / 0.283200 (0.046312) | 0.088045 / 0.141683 (-0.053638) | 1.514182 / 1.452155 (0.062027) | 1.529459 / 1.492716 (0.036742) |

### 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) | 0.216749 / 0.018006 (0.198743) | 0.409909 / 0.000490 (0.409419) | 0.002790 / 0.000200 (0.002590) | 0.000081 / 0.000054 (0.000027) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.023390 / 0.037411 (-0.014021) | 0.095955 / 0.014526 (0.081430) | 0.104749 / 0.176557 (-0.071807) | 0.143414 / 0.737135 (-0.593721) | 0.109011 / 0.296338 (-0.187328) |

### 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) | 0.420410 / 0.215209 (0.205201) | 4.185745 / 2.077655 (2.108090) | 1.910207 / 1.504120 (0.406087) | 1.679330 / 1.541195 (0.138135) | 1.727134 / 1.468490 (0.258644) | 0.692379 / 4.584777 (-3.892398) | 3.358731 / 3.745712 (-0.386982) | 2.914657 / 5.269862 (-2.355205) | 1.506083 / 4.565676 (-3.059594) | 0.081922 / 0.424275 (-0.342353) | 0.012691 / 0.007607 (0.005084) | 0.530942 / 0.226044 (0.304897) | 5.357642 / 2.268929 (3.088714) | 2.387347 / 55.444624 (-53.057277) | 2.030001 / 6.876477 (-4.846476) | 2.026405 / 2.142072 (-0.115667) | 0.809406 / 4.805227 (-3.995821) | 0.149003 / 6.500664 (-6.351661) | 0.066910 / 0.075469 (-0.008559) |

### 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) | 1.278160 / 1.841788 (-0.563627) | 13.632742 / 8.074308 (5.558434) | 13.995537 / 10.191392 (3.804145) | 0.136507 / 0.680424 (-0.543917) | 0.028817 / 0.534201 (-0.505384) | 0.394842 / 0.579283 (-0.184441) | 0.399526 / 0.434364 (-0.034838) | 0.459174 / 0.540337 (-0.081163) | 0.536877 / 1.386936 (-0.850059) |

</details>
PyArrow==latest

<details>
<summary>Show updated benchmarks!</summary>

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.006814 / 0.011353 (-0.004539) | 0.004456 / 0.011008 (-0.006552) | 0.098386 / 0.038508 (0.059878) | 0.028124 / 0.023109 (0.005015) | 0.409004 / 0.275898 (0.133106) | 0.446746 / 0.323480 (0.123266) | 0.005108 / 0.007986 (-0.002877) | 0.004807 / 0.004328 (0.000479) | 0.075751 / 0.004250 (0.071500) | 0.039297 / 0.037052 (0.002244) | 0.413198 / 0.258489 (0.154709) | 0.452124 / 0.293841 (0.158283) | 0.032534 / 0.128546 (-0.096012) | 0.011689 / 0.075646 (-0.063957) | 0.325465 / 0.419271 (-0.093806) | 0.041347 / 0.043533 (-0.002185) | 0.411489 / 0.255139 (0.156350) | 0.447120 / 0.283200 (0.163920) | 0.093058 / 0.141683 (-0.048625) | 1.489903 / 1.452155 (0.037748) | 1.580771 / 1.492716 (0.088055) |

### 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) | 0.192619 / 0.018006 (0.174613) | 0.399201 / 0.000490 (0.398711) | 0.002894 / 0.000200 (0.002694) | 0.000071 / 0.000054 (0.000017) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.025120 / 0.037411 (-0.012292) | 0.100126 / 0.014526 (0.085600) | 0.108669 / 0.176557 (-0.067887) | 0.148687 / 0.737135 (-0.588448) | 0.112286 / 0.296338 (-0.184052) |

### 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) | 0.438866 / 0.215209 (0.223657) | 4.382418 / 2.077655 (2.304764) | 2.106450 / 1.504120 (0.602330) | 1.885105 / 1.541195 (0.343910) | 1.922948 / 1.468490 (0.454458) | 0.693145 / 4.584777 (-3.891632) | 3.378206 / 3.745712 (-0.367506) | 1.867295 / 5.269862 (-3.402566) | 1.164999 / 4.565676 (-3.400678) | 0.081918 / 0.424275 (-0.342357) | 0.012225 / 0.007607 (0.004618) | 0.547114 / 0.226044 (0.321069) | 5.454208 / 2.268929 (3.185279) | 2.532112 / 55.444624 (-52.912512) | 2.192573 / 6.876477 (-4.683904) | 2.225364 / 2.142072 (0.083291) | 0.797165 / 4.805227 (-4.008062) | 0.151185 / 6.500664 (-6.349480) | 0.067512 / 0.075469 (-0.007957) |

### 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) | 1.303905 / 1.841788 (-0.537883) | 14.107678 / 8.074308 (6.033370) | 14.147630 / 10.191392 (3.956238) | 0.156597 / 0.680424 (-0.523827) | 0.017037 / 0.534201 (-0.517164) | 0.383202 / 0.579283 (-0.196081) | 0.385340 / 0.434364 (-0.049024) | 0.443338 / 0.540337 (-0.097000) | 0.542345 / 1.386936 (-0.844591) |

</details>
</details>

![](https://cml.dev/watermark.png#38228533a03767aab713a3806aac0e8503668c68 "CML watermark")


<details>
<summary>Show benchmarks</summary>

PyArrow==6.0.0

<details>
<summary>Show updated benchmarks!</summary>

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.009982 / 0.011353 (-0.001371) | 0.005327 / 0.011008 (-0.005681) | 0.099092 / 0.038508 (0.060584) | 0.035824 / 0.023109 (0.012715) | 0.303258 / 0.275898 (0.027360) | 0.335379 / 0.323480 (0.011899) | 0.008192 / 0.007986 (0.000207) | 0.004242 / 0.004328 (-0.000087) | 0.076277 / 0.004250 (0.072026) | 0.043851 / 0.037052 (0.006799) | 0.307750 / 0.258489 (0.049261) | 0.348459 / 0.293841 (0.054618) | 0.038943 / 0.128546 (-0.089604) | 0.012128 / 0.075646 (-0.063519) | 0.334143 / 0.419271 (-0.085128) | 0.047865 / 0.043533 (0.004332) | 0.300909 / 0.255139 (0.045770) | 0.320879 / 0.283200 (0.037680) | 0.103812 / 0.141683 (-0.037871) | 1.468646 / 1.452155 (0.016491) | 1.557660 / 1.492716 (0.064944) |

### 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) | 0.244108 / 0.018006 (0.226102) | 0.554895 / 0.000490 (0.554405) | 0.005311 / 0.000200 (0.005111) | 0.000120 / 0.000054 (0.000065) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.028771 / 0.037411 (-0.008640) | 0.108133 / 0.014526 (0.093608) | 0.120098 / 0.176557 (-0.056458) | 0.159815 / 0.737135 (-0.577320) | 0.125437 / 0.296338 (-0.170901) |

### 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) | 0.397675 / 0.215209 (0.182466) | 3.975839 / 2.077655 (1.898184) | 1.797803 / 1.504120 (0.293683) | 1.612517 / 1.541195 (0.071322) | 1.659086 / 1.468490 (0.190596) | 0.679822 / 4.584777 (-3.904955) | 3.688321 / 3.745712 (-0.057391) | 2.155285 / 5.269862 (-3.114576) | 1.466453 / 4.565676 (-3.099223) | 0.084102 / 0.424275 (-0.340173) | 0.012074 / 0.007607 (0.004467) | 0.503744 / 0.226044 (0.277699) | 5.075599 / 2.268929 (2.806670) | 2.312149 / 55.444624 (-53.132476) | 1.975028 / 6.876477 (-4.901449) | 2.069554 / 2.142072 (-0.072519) | 0.828329 / 4.805227 (-3.976898) | 0.162816 / 6.500664 (-6.337849) | 0.063813 / 0.075469 (-0.011656) |

### 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) | 1.173327 / 1.841788 (-0.668461) | 15.281584 / 8.074308 (7.207276) | 14.450851 / 10.191392 (4.259459) | 0.165621 / 0.680424 (-0.514802) | 0.028779 / 0.534201 (-0.505422) | 0.438483 / 0.579283 (-0.140800) | 0.438477 / 0.434364 (0.004113) | 0.517703 / 0.540337 (-0.022634) | 0.615119 / 1.386936 (-0.771817) |

</details>
PyArrow==latest

<details>
<summary>Show updated benchmarks!</summary>

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.007013 / 0.011353 (-0.004340) | 0.005272 / 0.011008 (-0.005736) | 0.097203 / 0.038508 (0.058695) | 0.033103 / 0.023109 (0.009994) | 0.380203 / 0.275898 (0.104305) | 0.414868 / 0.323480 (0.091388) | 0.006326 / 0.007986 (-0.001659) | 0.005433 / 0.004328 (0.001104) | 0.074299 / 0.004250 (0.070049) | 0.049418 / 0.037052 (0.012366) | 0.388771 / 0.258489 (0.130282) | 0.435169 / 0.293841 (0.141328) | 0.036170 / 0.128546 (-0.092377) | 0.012452 / 0.075646 (-0.063195) | 0.331215 / 0.419271 (-0.088056) | 0.048577 / 0.043533 (0.005044) | 0.381491 / 0.255139 (0.126352) | 0.396731 / 0.283200 (0.113531) | 0.106435 / 0.141683 (-0.035248) | 1.446437 / 1.452155 (-0.005718) | 1.542337 / 1.492716 (0.049621) |

### 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) | 0.216714 / 0.018006 (0.198707) | 0.562460 / 0.000490 (0.561970) | 0.003636 / 0.000200 (0.003436) | 0.000100 / 0.000054 (0.000045) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.028726 / 0.037411 (-0.008686) | 0.111993 / 0.014526 (0.097467) | 0.125325 / 0.176557 (-0.051232) | 0.157779 / 0.737135 (-0.579356) | 0.130633 / 0.296338 (-0.165705) |

### 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) | 0.440520 / 0.215209 (0.225311) | 4.396283 / 2.077655 (2.318628) | 2.204714 / 1.504120 (0.700594) | 2.011667 / 1.541195 (0.470473) | 2.050518 / 1.468490 (0.582028) | 0.695204 / 4.584777 (-3.889573) | 3.779699 / 3.745712 (0.033987) | 2.096064 / 5.269862 (-3.173798) | 1.325446 / 4.565676 (-3.240230) | 0.085315 / 0.424275 (-0.338960) | 0.012178 / 0.007607 (0.004570) | 0.550478 / 0.226044 (0.324434) | 5.471872 / 2.268929 (3.202943) | 2.687147 / 55.444624 (-52.757478) | 2.348465 / 6.876477 (-4.528011) | 2.409700 / 2.142072 (0.267628) | 0.839468 / 4.805227 (-3.965760) | 0.167030 / 6.500664 (-6.333635) | 0.063243 / 0.075469 (-0.012226) |

### 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) | 1.257347 / 1.841788 (-0.584441) | 15.157821 / 8.074308 (7.083512) | 14.646381 / 10.191392 (4.454989) | 0.185550 / 0.680424 (-0.494874) | 0.018441 / 0.534201 (-0.515760) | 0.423330 / 0.579283 (-0.155954) | 0.426204 / 0.434364 (-0.008160) | 0.498985 / 0.540337 (-0.041352) | 0.608432 / 1.386936 (-0.778504) |

</details>
</details>

![](https://cml.dev/watermark.png#0f96e349ec5665e1e4135b5a108ba5db227bd3b1 "CML watermark")


<details>
<summary>Show benchmarks</summary>

PyArrow==6.0.0

<details>
<summary>Show updated benchmarks!</summary>

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.010856 / 0.011353 (-0.000497) | 0.005897 / 0.011008 (-0.005111) | 0.117826 / 0.038508 (0.079317) | 0.041899 / 0.023109 (0.018790) | 0.353804 / 0.275898 (0.077906) | 0.431021 / 0.323480 (0.107541) | 0.009288 / 0.007986 (0.001303) | 0.004556 / 0.004328 (0.000227) | 0.089344 / 0.004250 (0.085094) | 0.052224 / 0.037052 (0.015172) | 0.373242 / 0.258489 (0.114753) | 0.420667 / 0.293841 (0.126826) | 0.044191 / 0.128546 (-0.084355) | 0.014083 / 0.075646 (-0.061564) | 0.400373 / 0.419271 (-0.018898) | 0.056119 / 0.043533 (0.012586) | 0.363302 / 0.255139 (0.108163) | 0.382073 / 0.283200 (0.098873) | 0.118646 / 0.141683 (-0.023037) | 1.696576 / 1.452155 (0.244422) | 1.756518 / 1.492716 (0.263802) |

### 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) | 0.216388 / 0.018006 (0.198382) | 0.485732 / 0.000490 (0.485242) | 0.004012 / 0.000200 (0.003812) | 0.000104 / 0.000054 (0.000050) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.032095 / 0.037411 (-0.005316) | 0.128954 / 0.014526 (0.114429) | 0.137564 / 0.176557 (-0.038993) | 0.184315 / 0.737135 (-0.552820) | 0.144707 / 0.296338 (-0.151631) |

### 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) | 0.472792 / 0.215209 (0.257583) | 4.723044 / 2.077655 (2.645390) | 2.115075 / 1.504120 (0.610955) | 1.898993 / 1.541195 (0.357798) | 1.972894 / 1.468490 (0.504404) | 0.807210 / 4.584777 (-3.777567) | 4.493139 / 3.745712 (0.747427) | 2.501053 / 5.269862 (-2.768808) | 1.686121 / 4.565676 (-2.879556) | 0.099545 / 0.424275 (-0.324730) | 0.014360 / 0.007607 (0.006753) | 0.596235 / 0.226044 (0.370191) | 5.944285 / 2.268929 (3.675357) | 2.654944 / 55.444624 (-52.789681) | 2.281451 / 6.876477 (-4.595026) | 2.448407 / 2.142072 (0.306334) | 1.000512 / 4.805227 (-3.804716) | 0.196413 / 6.500664 (-6.304251) | 0.075810 / 0.075469 (0.000341) |

### 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) | 1.435707 / 1.841788 (-0.406081) | 17.931070 / 8.074308 (9.856762) | 16.635522 / 10.191392 (6.444130) | 0.189119 / 0.680424 (-0.491304) | 0.034392 / 0.534201 (-0.499809) | 0.519041 / 0.579283 (-0.060242) | 0.516159 / 0.434364 (0.081795) | 0.601180 / 0.540337 (0.060843) | 0.713180 / 1.386936 (-0.673756) |

</details>
PyArrow==latest

<details>
<summary>Show updated benchmarks!</summary>

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.008741 / 0.011353 (-0.002612) | 0.006102 / 0.011008 (-0.004906) | 0.114787 / 0.038508 (0.076279) | 0.039610 / 0.023109 (0.016501) | 0.451730 / 0.275898 (0.175832) | 0.488820 / 0.323480 (0.165340) | 0.006979 / 0.007986 (-0.001006) | 0.006458 / 0.004328 (0.002130) | 0.086505 / 0.004250 (0.082254) | 0.057684 / 0.037052 (0.020632) | 0.451354 / 0.258489 (0.192865) | 0.523143 / 0.293841 (0.229302) | 0.043224 / 0.128546 (-0.085323) | 0.014671 / 0.075646 (-0.060975) | 0.398030 / 0.419271 (-0.021241) | 0.063650 / 0.043533 (0.020117) | 0.448324 / 0.255139 (0.193185) | 0.476560 / 0.283200 (0.193361) | 0.125772 / 0.141683 (-0.015911) | 1.801051 / 1.452155 (0.348896) | 1.872736 / 1.492716 (0.380020) |

### 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) | 0.256146 / 0.018006 (0.238139) | 0.486915 / 0.000490 (0.486425) | 0.000513 / 0.000200 (0.000313) | 0.000067 / 0.000054 (0.000012) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.035242 / 0.037411 (-0.002170) | 0.134322 / 0.014526 (0.119797) | 0.144786 / 0.176557 (-0.031770) | 0.188786 / 0.737135 (-0.548349) | 0.151737 / 0.296338 (-0.144602) |

### 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) | 0.506047 / 0.215209 (0.290838) | 5.028253 / 2.077655 (2.950598) | 2.393070 / 1.504120 (0.888950) | 2.157847 / 1.541195 (0.616652) | 2.229412 / 1.468490 (0.760922) | 0.828973 / 4.584777 (-3.755804) | 4.741470 / 3.745712 (0.995758) | 4.048118 / 5.269862 (-1.221744) | 2.573818 / 4.565676 (-1.991859) | 0.101019 / 0.424275 (-0.323256) | 0.014640 / 0.007607 (0.007033) | 0.632591 / 0.226044 (0.406546) | 6.289153 / 2.268929 (4.020224) | 2.977261 / 55.444624 (-52.467363) | 2.554396 / 6.876477 (-4.322081) | 2.619446 / 2.142072 (0.477374) | 0.988376 / 4.805227 (-3.816851) | 0.196895 / 6.500664 (-6.303769) | 0.076355 / 0.075469 (0.000886) |

### 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) | 1.493570 / 1.841788 (-0.348218) | 18.422758 / 8.074308 (10.348449) | 17.007352 / 10.191392 (6.815960) | 0.191903 / 0.680424 (-0.488521) | 0.020974 / 0.534201 (-0.513227) | 0.500573 / 0.579283 (-0.078710) | 0.489381 / 0.434364 (0.055017) | 0.580765 / 0.540337 (0.040428) | 0.698907 / 1.386936 (-0.688029) |

</details>
</details>

![](https://cml.dev/watermark.png#fa9baa268a6d285ab0a61cc37413392c94cfe2e8 "CML watermark")


<details>
<summary>Show benchmarks</summary>

PyArrow==6.0.0

<details>
<summary>Show updated benchmarks!</summary>

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.008979 / 0.011353 (-0.002374) | 0.004497 / 0.011008 (-0.006511) | 0.102227 / 0.038508 (0.063719) | 0.031302 / 0.023109 (0.008193) | 0.298488 / 0.275898 (0.022590) | 0.372589 / 0.323480 (0.049109) | 0.007261 / 0.007986 (-0.000725) | 0.003542 / 0.004328 (-0.000786) | 0.078503 / 0.004250 (0.074253) | 0.039474 / 0.037052 (0.002422) | 0.310991 / 0.258489 (0.052502) | 0.353245 / 0.293841 (0.059404) | 0.033798 / 0.128546 (-0.094749) | 0.011634 / 0.075646 (-0.064012) | 0.321141 / 0.419271 (-0.098131) | 0.041264 / 0.043533 (-0.002268) | 0.300900 / 0.255139 (0.045761) | 0.326255 / 0.283200 (0.043055) | 0.092477 / 0.141683 (-0.049205) | 1.478921 / 1.452155 (0.026766) | 1.514915 / 1.492716 (0.022198) |

### 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) | 0.184415 / 0.018006 (0.166408) | 0.428986 / 0.000490 (0.428497) | 0.002590 / 0.000200 (0.002390) | 0.000072 / 0.000054 (0.000018) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.023730 / 0.037411 (-0.013681) | 0.099846 / 0.014526 (0.085320) | 0.107075 / 0.176557 (-0.069482) | 0.147475 / 0.737135 (-0.589661) | 0.111802 / 0.296338 (-0.184537) |

### 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) | 0.413704 / 0.215209 (0.198494) | 4.144498 / 2.077655 (2.066843) | 1.855900 / 1.504120 (0.351780) | 1.647958 / 1.541195 (0.106763) | 1.712437 / 1.468490 (0.243947) | 0.688382 / 4.584777 (-3.896395) | 3.432136 / 3.745712 (-0.313576) | 2.837211 / 5.269862 (-2.432651) | 1.519004 / 4.565676 (-3.046672) | 0.082429 / 0.424275 (-0.341846) | 0.012610 / 0.007607 (0.005003) | 0.525078 / 0.226044 (0.299034) | 5.272932 / 2.268929 (3.004003) | 2.340482 / 55.444624 (-53.104143) | 2.007372 / 6.876477 (-4.869104) | 2.060567 / 2.142072 (-0.081506) | 0.806476 / 4.805227 (-3.998752) | 0.149421 / 6.500664 (-6.351243) | 0.066252 / 0.075469 (-0.009218) |

### 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) | 1.235078 / 1.841788 (-0.606710) | 13.870758 / 8.074308 (5.796450) | 14.104582 / 10.191392 (3.913190) | 0.159375 / 0.680424 (-0.521049) | 0.029233 / 0.534201 (-0.504968) | 0.392184 / 0.579283 (-0.187099) | 0.407909 / 0.434364 (-0.026455) | 0.458757 / 0.540337 (-0.081581) | 0.547681 / 1.386936 (-0.839255) |

</details>
PyArrow==latest

<details>
<summary>Show updated benchmarks!</summary>

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.007194 / 0.011353 (-0.004159) | 0.004578 / 0.011008 (-0.006431) | 0.098936 / 0.038508 (0.060428) | 0.029639 / 0.023109 (0.006530) | 0.347241 / 0.275898 (0.071343) | 0.378838 / 0.323480 (0.055358) | 0.005632 / 0.007986 (-0.002353) | 0.003469 / 0.004328 (-0.000860) | 0.075536 / 0.004250 (0.071285) | 0.043301 / 0.037052 (0.006249) | 0.348091 / 0.258489 (0.089602) | 0.388595 / 0.293841 (0.094754) | 0.033512 / 0.128546 (-0.095034) | 0.011754 / 0.075646 (-0.063892) | 0.321003 / 0.419271 (-0.098268) | 0.044634 / 0.043533 (0.001101) | 0.346688 / 0.255139 (0.091549) | 0.366346 / 0.283200 (0.083147) | 0.093650 / 0.141683 (-0.048033) | 1.509913 / 1.452155 (0.057759) | 1.596414 / 1.492716 (0.103698) |

### 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) | 0.230466 / 0.018006 (0.212459) | 0.417106 / 0.000490 (0.416617) | 0.000959 / 0.000200 (0.000759) | 0.000070 / 0.000054 (0.000015) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.025581 / 0.037411 (-0.011830) | 0.105246 / 0.014526 (0.090720) | 0.108997 / 0.176557 (-0.067560) | 0.144342 / 0.737135 (-0.592794) | 0.113911 / 0.296338 (-0.182427) |

### 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) | 0.479608 / 0.215209 (0.264399) | 4.766081 / 2.077655 (2.688426) | 2.446597 / 1.504120 (0.942477) | 2.228278 / 1.541195 (0.687083) | 2.289943 / 1.468490 (0.821453) | 0.703146 / 4.584777 (-3.881631) | 3.414150 / 3.745712 (-0.331562) | 2.957730 / 5.269862 (-2.312132) | 1.531524 / 4.565676 (-3.034152) | 0.083449 / 0.424275 (-0.340826) | 0.012684 / 0.007607 (0.005077) | 0.587622 / 0.226044 (0.361578) | 5.888791 / 2.268929 (3.619863) | 2.884200 / 55.444624 (-52.560424) | 2.543739 / 6.876477 (-4.332737) | 2.596245 / 2.142072 (0.454173) | 0.813070 / 4.805227 (-3.992157) | 0.152706 / 6.500664 (-6.347958) | 0.069257 / 0.075469 (-0.006212) |

### 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) | 1.302945 / 1.841788 (-0.538842) | 14.484051 / 8.074308 (6.409743) | 14.216143 / 10.191392 (4.024751) | 0.154537 / 0.680424 (-0.525886) | 0.016909 / 0.534201 (-0.517292) | 0.389433 / 0.579283 (-0.189850) | 0.393280 / 0.434364 (-0.041084) | 0.446884 / 0.540337 (-0.093453) | 0.534394 / 1.386936 (-0.852542) |

</details>
</details>

![](https://cml.dev/watermark.png#2bcdeb952c57c5f22643061d49d16014a7b6426a "CML watermark")


<details>
<summary>Show benchmarks</summary>

PyArrow==6.0.0

<details>
<summary>Show updated benchmarks!</summary>

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.008822 / 0.011353 (-0.002530) | 0.004826 / 0.011008 (-0.006182) | 0.102710 / 0.038508 (0.064202) | 0.030353 / 0.023109 (0.007244) | 0.297224 / 0.275898 (0.021326) | 0.371861 / 0.323480 (0.048381) | 0.007266 / 0.007986 (-0.000720) | 0.003632 / 0.004328 (-0.000696) | 0.079960 / 0.004250 (0.075710) | 0.036908 / 0.037052 (-0.000144) | 0.309582 / 0.258489 (0.051093) | 0.350108 / 0.293841 (0.056267) | 0.034280 / 0.128546 (-0.094266) | 0.011739 / 0.075646 (-0.063907) | 0.323217 / 0.419271 (-0.096054) | 0.043491 / 0.043533 (-0.000042) | 0.298454 / 0.255139 (0.043315) | 0.326735 / 0.283200 (0.043535) | 0.093955 / 0.141683 (-0.047728) | 1.494313 / 1.452155 (0.042159) | 1.562104 / 1.492716 (0.069388) |

### 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) | 0.182796 / 0.018006 (0.164790) | 0.420133 / 0.000490 (0.419643) | 0.002537 / 0.000200 (0.002337) | 0.000070 / 0.000054 (0.000015) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.023143 / 0.037411 (-0.014269) | 0.098560 / 0.014526 (0.084034) | 0.105060 / 0.176557 (-0.071496) | 0.140269 / 0.737135 (-0.596866) | 0.109120 / 0.296338 (-0.187219) |

### 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) | 0.419907 / 0.215209 (0.204698) | 4.196179 / 2.077655 (2.118524) | 1.887663 / 1.504120 (0.383543) | 1.686232 / 1.541195 (0.145037) | 1.741741 / 1.468490 (0.273251) | 0.696222 / 4.584777 (-3.888555) | 3.400250 / 3.745712 (-0.345462) | 1.875058 / 5.269862 (-3.394803) | 1.159466 / 4.565676 (-3.406211) | 0.082520 / 0.424275 (-0.341755) | 0.012408 / 0.007607 (0.004801) | 0.525212 / 0.226044 (0.299168) | 5.283691 / 2.268929 (3.014762) | 2.314487 / 55.444624 (-53.130138) | 1.966212 / 6.876477 (-4.910265) | 2.023458 / 2.142072 (-0.118615) | 0.808896 / 4.805227 (-3.996331) | 0.148973 / 6.500664 (-6.351691) | 0.065378 / 0.075469 (-0.010091) |

### 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) | 1.223833 / 1.841788 (-0.617955) | 14.053651 / 8.074308 (5.979343) | 14.072165 / 10.191392 (3.880773) | 0.156006 / 0.680424 (-0.524418) | 0.028665 / 0.534201 (-0.505536) | 0.392099 / 0.579283 (-0.187184) | 0.401460 / 0.434364 (-0.032904) | 0.462184 / 0.540337 (-0.078153) | 0.540459 / 1.386936 (-0.846477) |

</details>
PyArrow==latest

<details>
<summary>Show updated benchmarks!</summary>

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.006907 / 0.011353 (-0.004446) | 0.004585 / 0.011008 (-0.006423) | 0.099027 / 0.038508 (0.060519) | 0.028317 / 0.023109 (0.005208) | 0.421068 / 0.275898 (0.145170) | 0.450712 / 0.323480 (0.127233) | 0.005229 / 0.007986 (-0.002756) | 0.004873 / 0.004328 (0.000545) | 0.077374 / 0.004250 (0.073124) | 0.042530 / 0.037052 (0.005477) | 0.417392 / 0.258489 (0.158903) | 0.462605 / 0.293841 (0.168764) | 0.032195 / 0.128546 (-0.096351) | 0.011777 / 0.075646 (-0.063870) | 0.321927 / 0.419271 (-0.097344) | 0.041999 / 0.043533 (-0.001533) | 0.419402 / 0.255139 (0.164263) | 0.437179 / 0.283200 (0.153979) | 0.089549 / 0.141683 (-0.052134) | 1.469525 / 1.452155 (0.017370) | 1.586407 / 1.492716 (0.093691) |

### 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) | 0.209533 / 0.018006 (0.191526) | 0.413886 / 0.000490 (0.413396) | 0.003357 / 0.000200 (0.003157) | 0.000121 / 0.000054 (0.000067) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.026133 / 0.037411 (-0.011278) | 0.103128 / 0.014526 (0.088602) | 0.110604 / 0.176557 (-0.065952) | 0.153055 / 0.737135 (-0.584080) | 0.112257 / 0.296338 (-0.184081) |

### 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) | 0.471281 / 0.215209 (0.256072) | 4.708361 / 2.077655 (2.630706) | 2.572681 / 1.504120 (1.068561) | 2.370536 / 1.541195 (0.829341) | 2.456010 / 1.468490 (0.987520) | 0.694173 / 4.584777 (-3.890603) | 3.434511 / 3.745712 (-0.311201) | 1.877169 / 5.269862 (-3.392693) | 1.158387 / 4.565676 (-3.407289) | 0.081849 / 0.424275 (-0.342426) | 0.012176 / 0.007607 (0.004569) | 0.581736 / 0.226044 (0.355692) | 5.803173 / 2.268929 (3.534245) | 3.040003 / 55.444624 (-52.404621) | 2.704698 / 6.876477 (-4.171779) | 2.760138 / 2.142072 (0.618065) | 0.802557 / 4.805227 (-4.002671) | 0.151397 / 6.500664 (-6.349268) | 0.068308 / 0.075469 (-0.007161) |

### 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) | 1.304062 / 1.841788 (-0.537725) | 14.364809 / 8.074308 (6.290501) | 14.192131 / 10.191392 (4.000739) | 0.150025 / 0.680424 (-0.530399) | 0.017020 / 0.534201 (-0.517181) | 0.389235 / 0.579283 (-0.190048) | 0.387557 / 0.434364 (-0.046807) | 0.454636 / 0.540337 (-0.085702) | 0.558182 / 1.386936 (-0.828754) |

</details>
</details>

![](https://cml.dev/watermark.png#663e5eddca188abbb37e2f803846f02fe4ca0d9b "CML watermark")


<details>
<summary>Show benchmarks</summary>

PyArrow==6.0.0

<details>
<summary>Show updated benchmarks!</summary>

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.008519 / 0.011353 (-0.002834) | 0.004538 / 0.011008 (-0.006470) | 0.102066 / 0.038508 (0.063558) | 0.029700 / 0.023109 (0.006591) | 0.304573 / 0.275898 (0.028675) | 0.366232 / 0.323480 (0.042752) | 0.007154 / 0.007986 (-0.000832) | 0.003497 / 0.004328 (-0.000831) | 0.079119 / 0.004250 (0.074868) | 0.036088 / 0.037052 (-0.000964) | 0.311076 / 0.258489 (0.052587) | 0.352205 / 0.293841 (0.058364) | 0.033706 / 0.128546 (-0.094840) | 0.011657 / 0.075646 (-0.063990) | 0.324024 / 0.419271 (-0.095247) | 0.040777 / 0.043533 (-0.002756) | 0.302661 / 0.255139 (0.047522) | 0.329091 / 0.283200 (0.045891) | 0.086774 / 0.141683 (-0.054909) | 1.485874 / 1.452155 (0.033720) | 1.535726 / 1.492716 (0.043009) |

### 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) | 0.194284 / 0.018006 (0.176277) | 0.412875 / 0.000490 (0.412385) | 0.003348 / 0.000200 (0.003148) | 0.000074 / 0.000054 (0.000020) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.022432 / 0.037411 (-0.014979) | 0.095008 / 0.014526 (0.080482) | 0.103268 / 0.176557 (-0.073288) | 0.140121 / 0.737135 (-0.597014) | 0.106619 / 0.296338 (-0.189719) |

### 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) | 0.414786 / 0.215209 (0.199577) | 4.146345 / 2.077655 (2.068690) | 1.873703 / 1.504120 (0.369583) | 1.673498 / 1.541195 (0.132303) | 1.716993 / 1.468490 (0.248502) | 0.692098 / 4.584777 (-3.892679) | 3.380991 / 3.745712 (-0.364721) | 1.846811 / 5.269862 (-3.423050) | 1.159617 / 4.565676 (-3.406059) | 0.081867 / 0.424275 (-0.342408) | 0.012371 / 0.007607 (0.004764) | 0.526228 / 0.226044 (0.300184) | 5.273139 / 2.268929 (3.004211) | 2.327147 / 55.444624 (-53.117477) | 1.968366 / 6.876477 (-4.908111) | 2.018053 / 2.142072 (-0.124019) | 0.816098 / 4.805227 (-3.989130) | 0.149438 / 6.500664 (-6.351226) | 0.065000 / 0.075469 (-0.010469) |

### 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) | 1.244408 / 1.841788 (-0.597380) | 13.774354 / 8.074308 (5.700046) | 14.178923 / 10.191392 (3.987531) | 0.150032 / 0.680424 (-0.530392) | 0.029736 / 0.534201 (-0.504465) | 0.399134 / 0.579283 (-0.180149) | 0.404214 / 0.434364 (-0.030150) | 0.462096 / 0.540337 (-0.078242) | 0.542256 / 1.386936 (-0.844680) |

</details>
PyArrow==latest

<details>
<summary>Show updated benchmarks!</summary>

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.006776 / 0.011353 (-0.004577) | 0.004586 / 0.011008 (-0.006422) | 0.097658 / 0.038508 (0.059150) | 0.027627 / 0.023109 (0.004517) | 0.423794 / 0.275898 (0.147896) | 0.447443 / 0.323480 (0.123963) | 0.005099 / 0.007986 (-0.002886) | 0.004846 / 0.004328 (0.000517) | 0.075135 / 0.004250 (0.070884) | 0.038068 / 0.037052 (0.001016) | 0.420999 / 0.258489 (0.162510) | 0.460368 / 0.293841 (0.166527) | 0.032107 / 0.128546 (-0.096439) | 0.011775 / 0.075646 (-0.063871) | 0.323854 / 0.419271 (-0.095418) | 0.045538 / 0.043533 (0.002005) | 0.420949 / 0.255139 (0.165810) | 0.441906 / 0.283200 (0.158706) | 0.091955 / 0.141683 (-0.049728) | 1.523736 / 1.452155 (0.071581) | 1.587865 / 1.492716 (0.095148) |

### 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) | 0.263297 / 0.018006 (0.245290) | 0.416170 / 0.000490 (0.415680) | 0.023161 / 0.000200 (0.022961) | 0.000243 / 0.000054 (0.000188) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.024000 / 0.037411 (-0.013412) | 0.097787 / 0.014526 (0.083262) | 0.106884 / 0.176557 (-0.069672) | 0.140861 / 0.737135 (-0.596274) | 0.108228 / 0.296338 (-0.188111) |

### 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) | 0.477222 / 0.215209 (0.262013) | 4.774729 / 2.077655 (2.697074) | 2.451575 / 1.504120 (0.947455) | 2.251255 / 1.541195 (0.710060) | 2.281154 / 1.468490 (0.812664) | 0.699394 / 4.584777 (-3.885383) | 3.421575 / 3.745712 (-0.324137) | 2.704713 / 5.269862 (-2.565148) | 1.508464 / 4.565676 (-3.057212) | 0.082199 / 0.424275 (-0.342076) | 0.012586 / 0.007607 (0.004979) | 0.588783 / 0.226044 (0.362739) | 5.878434 / 2.268929 (3.609505) | 2.927422 / 55.444624 (-52.517202) | 2.574357 / 6.876477 (-4.302120) | 2.603626 / 2.142072 (0.461554) | 0.804706 / 4.805227 (-4.000521) | 0.152919 / 6.500664 (-6.347745) | 0.069316 / 0.075469 (-0.006153) |

### 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) | 1.280025 / 1.841788 (-0.561763) | 13.968407 / 8.074308 (5.894099) | 13.874506 / 10.191392 (3.683114) | 0.154711 / 0.680424 (-0.525713) | 0.016827 / 0.534201 (-0.517374) | 0.377775 / 0.579283 (-0.201508) | 0.393035 / 0.434364 (-0.041329) | 0.439405 / 0.540337 (-0.100932) | 0.528135 / 1.386936 (-0.858801) |

</details>
</details>

![](https://cml.dev/watermark.png#00b27a59b8af9075967b800e3b0f1de8616aa0ce "CML watermark")


<details>
<summary>Show benchmarks</summary>

PyArrow==6.0.0

<details>
<summary>Show updated benchmarks!</summary>

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.009035 / 0.011353 (-0.002318) | 0.004518 / 0.011008 (-0.006490) | 0.102077 / 0.038508 (0.063569) | 0.030169 / 0.023109 (0.007060) | 0.297713 / 0.275898 (0.021815) | 0.364976 / 0.323480 (0.041496) | 0.007079 / 0.007986 (-0.000906) | 0.003438 / 0.004328 (-0.000890) | 0.079667 / 0.004250 (0.075416) | 0.035890 / 0.037052 (-0.001162) | 0.306065 / 0.258489 (0.047576) | 0.352133 / 0.293841 (0.058292) | 0.033800 / 0.128546 (-0.094746) | 0.011613 / 0.075646 (-0.064034) | 0.322917 / 0.419271 (-0.096354) | 0.040973 / 0.043533 (-0.002560) | 0.300896 / 0.255139 (0.045757) | 0.331540 / 0.283200 (0.048341) | 0.089579 / 0.141683 (-0.052103) | 1.466755 / 1.452155 (0.014600) | 1.522120 / 1.492716 (0.029404) |

### 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) | 0.193172 / 0.018006 (0.175166) | 0.408878 / 0.000490 (0.408389) | 0.001586 / 0.000200 (0.001386) | 0.000071 / 0.000054 (0.000017) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.023496 / 0.037411 (-0.013915) | 0.098046 / 0.014526 (0.083520) | 0.104599 / 0.176557 (-0.071957) | 0.139054 / 0.737135 (-0.598081) | 0.111163 / 0.296338 (-0.185175) |

### 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) | 0.417374 / 0.215209 (0.202165) | 4.145808 / 2.077655 (2.068153) | 1.847101 / 1.504120 (0.342981) | 1.637207 / 1.541195 (0.096012) | 1.676906 / 1.468490 (0.208416) | 0.689851 / 4.584777 (-3.894926) | 3.402099 / 3.745712 (-0.343614) | 1.896808 / 5.269862 (-3.373054) | 1.257876 / 4.565676 (-3.307801) | 0.081744 / 0.424275 (-0.342531) | 0.012206 / 0.007607 (0.004599) | 0.524830 / 0.226044 (0.298786) | 5.251344 / 2.268929 (2.982416) | 2.277907 / 55.444624 (-53.166717) | 1.933985 / 6.876477 (-4.942491) | 2.038500 / 2.142072 (-0.103573) | 0.808696 / 4.805227 (-3.996532) | 0.149488 / 6.500664 (-6.351176) | 0.065323 / 0.075469 (-0.010146) |

### 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) | 1.204294 / 1.841788 (-0.637493) | 13.696526 / 8.074308 (5.622218) | 13.947195 / 10.191392 (3.755802) | 0.136812 / 0.680424 (-0.543611) | 0.028625 / 0.534201 (-0.505576) | 0.397662 / 0.579283 (-0.181621) | 0.403423 / 0.434364 (-0.030941) | 0.465288 / 0.540337 (-0.075049) | 0.551919 / 1.386936 (-0.835017) |

</details>
PyArrow==latest

<details>
<summary>Show updated benchmarks!</summary>

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.006467 / 0.011353 (-0.004886) | 0.004562 / 0.011008 (-0.006447) | 0.097514 / 0.038508 (0.059006) | 0.027471 / 0.023109 (0.004362) | 0.425504 / 0.275898 (0.149606) | 0.458856 / 0.323480 (0.135376) | 0.004816 / 0.007986 (-0.003169) | 0.003264 / 0.004328 (-0.001065) | 0.074947 / 0.004250 (0.070697) | 0.037147 / 0.037052 (0.000095) | 0.429513 / 0.258489 (0.171024) | 0.463971 / 0.293841 (0.170130) | 0.031638 / 0.128546 (-0.096908) | 0.011545 / 0.075646 (-0.064101) | 0.320261 / 0.419271 (-0.099010) | 0.041570 / 0.043533 (-0.001963) | 0.424809 / 0.255139 (0.169670) | 0.447158 / 0.283200 (0.163959) | 0.088418 / 0.141683 (-0.053265) | 1.492242 / 1.452155 (0.040087) | 1.545523 / 1.492716 (0.052807) |

### 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) | 0.217865 / 0.018006 (0.199859) | 0.399925 / 0.000490 (0.399436) | 0.004853 / 0.000200 (0.004653) | 0.000073 / 0.000054 (0.000019) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.024275 / 0.037411 (-0.013137) | 0.098249 / 0.014526 (0.083723) | 0.107110 / 0.176557 (-0.069446) | 0.143870 / 0.737135 (-0.593265) | 0.108796 / 0.296338 (-0.187542) |

### 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) | 0.470856 / 0.215209 (0.255647) | 4.687921 / 2.077655 (2.610266) | 2.448631 / 1.504120 (0.944511) | 2.247748 / 1.541195 (0.706553) | 2.287713 / 1.468490 (0.819223) | 0.687534 / 4.584777 (-3.897243) | 3.421099 / 3.745712 (-0.324613) | 2.977280 / 5.269862 (-2.292582) | 1.274837 / 4.565676 (-3.290839) | 0.081611 / 0.424275 (-0.342664) | 0.012603 / 0.007607 (0.004996) | 0.574600 / 0.226044 (0.348556) | 5.802826 / 2.268929 (3.533898) | 2.913178 / 55.444624 (-52.531446) | 2.589486 / 6.876477 (-4.286991) | 2.630004 / 2.142072 (0.487932) | 0.790087 / 4.805227 (-4.015140) | 0.150019 / 6.500664 (-6.350645) | 0.067346 / 0.075469 (-0.008123) |

### 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) | 1.266521 / 1.841788 (-0.575267) | 13.818770 / 8.074308 (5.744462) | 13.872277 / 10.191392 (3.680885) | 0.147375 / 0.680424 (-0.533049) | 0.016837 / 0.534201 (-0.517363) | 0.376421 / 0.579283 (-0.202862) | 0.400236 / 0.434364 (-0.034128) | 0.436623 / 0.540337 (-0.103714) | 0.527173 / 1.386936 (-0.859763) |

</details>
</details>

![](https://cml.dev/watermark.png#5f347cf8443aa35401ba6a4159600b92bc6a156b "CML watermark")


<details>
<summary>Show benchmarks</summary>

PyArrow==6.0.0

<details>
<summary>Show updated benchmarks!</summary>

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.009341 / 0.011353 (-0.002012) | 0.005188 / 0.011008 (-0.005820) | 0.101831 / 0.038508 (0.063323) | 0.035141 / 0.023109 (0.012032) | 0.299324 / 0.275898 (0.023426) | 0.334749 / 0.323480 (0.011269) | 0.007958 / 0.007986 (-0.000027) | 0.005482 / 0.004328 (0.001153) | 0.077070 / 0.004250 (0.072820) | 0.044733 / 0.037052 (0.007680) | 0.310398 / 0.258489 (0.051909) | 0.347925 / 0.293841 (0.054084) | 0.038141 / 0.128546 (-0.090405) | 0.012135 / 0.075646 (-0.063512) | 0.333799 / 0.419271 (-0.085472) | 0.048881 / 0.043533 (0.005348) | 0.301336 / 0.255139 (0.046197) | 0.314592 / 0.283200 (0.031393) | 0.103635 / 0.141683 (-0.038048) | 1.437321 / 1.452155 (-0.014833) | 1.598781 / 1.492716 (0.106065) |

### 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) | 0.248911 / 0.018006 (0.230905) | 0.528932 / 0.000490 (0.528442) | 0.002495 / 0.000200 (0.002295) | 0.000094 / 0.000054 (0.000040) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.027903 / 0.037411 (-0.009509) | 0.106716 / 0.014526 (0.092190) | 0.122650 / 0.176557 (-0.053907) | 0.162481 / 0.737135 (-0.574654) | 0.126402 / 0.296338 (-0.169937) |

### 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) | 0.352819 / 0.215209 (0.137610) | 3.522761 / 2.077655 (1.445106) | 1.576761 / 1.504120 (0.072641) | 1.411631 / 1.541195 (-0.129563) | 1.449689 / 1.468490 (-0.018801) | 0.608987 / 4.584777 (-3.975790) | 3.705121 / 3.745712 (-0.040592) | 2.085071 / 5.269862 (-3.184790) | 1.308653 / 4.565676 (-3.257024) | 0.083763 / 0.424275 (-0.340512) | 0.011957 / 0.007607 (0.004350) | 0.502182 / 0.226044 (0.276137) | 5.008829 / 2.268929 (2.739900) | 2.244687 / 55.444624 (-53.199937) | 1.891411 / 6.876477 (-4.985065) | 1.940789 / 2.142072 (-0.201284) | 0.825966 / 4.805227 (-3.979261) | 0.165267 / 6.500664 (-6.335397) | 0.063020 / 0.075469 (-0.012449) |

### 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) | 1.196707 / 1.841788 (-0.645081) | 14.236877 / 8.074308 (6.162569) | 14.872954 / 10.191392 (4.681562) | 0.168560 / 0.680424 (-0.511864) | 0.029038 / 0.534201 (-0.505163) | 0.440192 / 0.579283 (-0.139091) | 0.437021 / 0.434364 (0.002657) | 0.519612 / 0.540337 (-0.020725) | 0.612013 / 1.386936 (-0.774923) |

</details>
PyArrow==latest

<details>
<summary>Show updated benchmarks!</summary>

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.007170 / 0.011353 (-0.004183) | 0.005303 / 0.011008 (-0.005705) | 0.098503 / 0.038508 (0.059995) | 0.032573 / 0.023109 (0.009463) | 0.398203 / 0.275898 (0.122305) | 0.446075 / 0.323480 (0.122595) | 0.005712 / 0.007986 (-0.002274) | 0.004165 / 0.004328 (-0.000164) | 0.074273 / 0.004250 (0.070023) | 0.049587 / 0.037052 (0.012534) | 0.399458 / 0.258489 (0.140969) | 0.459167 / 0.293841 (0.165327) | 0.036063 / 0.128546 (-0.092483) | 0.012394 / 0.075646 (-0.063253) | 0.332559 / 0.419271 (-0.086713) | 0.048499 / 0.043533 (0.004967) | 0.404044 / 0.255139 (0.148905) | 0.410462 / 0.283200 (0.127262) | 0.104104 / 0.141683 (-0.037579) | 1.488141 / 1.452155 (0.035986) | 1.535517 / 1.492716 (0.042801) |

### 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) | 0.292976 / 0.018006 (0.274970) | 0.569139 / 0.000490 (0.568649) | 0.000553 / 0.000200 (0.000353) | 0.000063 / 0.000054 (0.000008) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.030144 / 0.037411 (-0.007267) | 0.098699 / 0.014526 (0.084173) | 0.114437 / 0.176557 (-0.062120) | 0.156657 / 0.737135 (-0.580478) | 0.117449 / 0.296338 (-0.178890) |

### 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) | 0.441921 / 0.215209 (0.226712) | 4.413090 / 2.077655 (2.335435) | 2.190458 / 1.504120 (0.686338) | 2.008919 / 1.541195 (0.467724) | 2.049657 / 1.468490 (0.581167) | 0.691751 / 4.584777 (-3.893026) | 3.767524 / 3.745712 (0.021812) | 3.395564 / 5.269862 (-1.874297) | 1.633480 / 4.565676 (-2.932196) | 0.084880 / 0.424275 (-0.339395) | 0.012133 / 0.007607 (0.004526) | 0.555372 / 0.226044 (0.329327) | 5.522820 / 2.268929 (3.253892) | 2.723331 / 55.444624 (-52.721293) | 2.337583 / 6.876477 (-4.538894) | 2.368746 / 2.142072 (0.226674) | 0.830127 / 4.805227 (-3.975100) | 0.166239 / 6.500664 (-6.334425) | 0.064279 / 0.075469 (-0.011190) |

### 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) | 1.123421 / 1.841788 (-0.718367) | 14.413392 / 8.074308 (6.339084) | 12.865143 / 10.191392 (2.673751) | 0.132198 / 0.680424 (-0.548226) | 0.016138 / 0.534201 (-0.518063) | 0.380760 / 0.579283 (-0.198523) | 0.387223 / 0.434364 (-0.047141) | 0.445574 / 0.540337 (-0.094764) | 0.535658 / 1.386936 (-0.851278) |

</details>
</details>

![](https://cml.dev/watermark.png#a89564d3d17b5960db2435662cb9c49f8ad7488a "CML watermark")


<details>
<summary>Show benchmarks</summary>

PyArrow==6.0.0

<details>
<summary>Show updated benchmarks!</summary>

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.008316 / 0.011353 (-0.003037) | 0.004503 / 0.011008 (-0.006505) | 0.100565 / 0.038508 (0.062057) | 0.030388 / 0.023109 (0.007279) | 0.304417 / 0.275898 (0.028519) | 0.369655 / 0.323480 (0.046175) | 0.007796 / 0.007986 (-0.000190) | 0.003450 / 0.004328 (-0.000878) | 0.078694 / 0.004250 (0.074443) | 0.038068 / 0.037052 (0.001016) | 0.316353 / 0.258489 (0.057864) | 0.352344 / 0.293841 (0.058503) | 0.033271 / 0.128546 (-0.095276) | 0.011427 / 0.075646 (-0.064220) | 0.322367 / 0.419271 (-0.096904) | 0.041497 / 0.043533 (-0.002036) | 0.305876 / 0.255139 (0.050737) | 0.332279 / 0.283200 (0.049079) | 0.086719 / 0.141683 (-0.054964) | 1.488367 / 1.452155 (0.036212) | 1.528943 / 1.492716 (0.036227) |

### 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) | 0.171072 / 0.018006 (0.153066) | 0.421048 / 0.000490 (0.420558) | 0.003622 / 0.000200 (0.003422) | 0.000075 / 0.000054 (0.000020) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.022632 / 0.037411 (-0.014779) | 0.095304 / 0.014526 (0.080778) | 0.106254 / 0.176557 (-0.070302) | 0.138437 / 0.737135 (-0.598698) | 0.107258 / 0.296338 (-0.189080) |

### 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) | 0.423201 / 0.215209 (0.207992) | 4.208397 / 2.077655 (2.130742) | 1.899800 / 1.504120 (0.395680) | 1.682782 / 1.541195 (0.141587) | 1.708840 / 1.468490 (0.240350) | 0.694492 / 4.584777 (-3.890285) | 3.380369 / 3.745712 (-0.365344) | 1.851731 / 5.269862 (-3.418130) | 1.151615 / 4.565676 (-3.414061) | 0.082446 / 0.424275 (-0.341829) | 0.012483 / 0.007607 (0.004876) | 0.533688 / 0.226044 (0.307643) | 5.373434 / 2.268929 (3.104505) | 2.346403 / 55.444624 (-53.098221) | 1.978505 / 6.876477 (-4.897971) | 2.005875 / 2.142072 (-0.136198) | 0.820785 / 4.805227 (-3.984442) | 0.150728 / 6.500664 (-6.349936) | 0.065761 / 0.075469 (-0.009708) |

### 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) | 1.244550 / 1.841788 (-0.597237) | 13.219096 / 8.074308 (5.144788) | 13.960463 / 10.191392 (3.769071) | 0.135572 / 0.680424 (-0.544852) | 0.028746 / 0.534201 (-0.505455) | 0.393082 / 0.579283 (-0.186201) | 0.402852 / 0.434364 (-0.031512) | 0.461191 / 0.540337 (-0.079147) | 0.543500 / 1.386936 (-0.843436) |

</details>
PyArrow==latest

<details>
<summary>Show updated benchmarks!</summary>

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.006316 / 0.011353 (-0.005037) | 0.004394 / 0.011008 (-0.006615) | 0.096478 / 0.038508 (0.057970) | 0.026965 / 0.023109 (0.003855) | 0.340371 / 0.275898 (0.064473) | 0.368334 / 0.323480 (0.044854) | 0.004744 / 0.007986 (-0.003242) | 0.004652 / 0.004328 (0.000324) | 0.074479 / 0.004250 (0.070228) | 0.036358 / 0.037052 (-0.000694) | 0.342968 / 0.258489 (0.084479) | 0.383675 / 0.293841 (0.089834) | 0.031439 / 0.128546 (-0.097107) | 0.011529 / 0.075646 (-0.064117) | 0.319560 / 0.419271 (-0.099711) | 0.041370 / 0.043533 (-0.002163) | 0.342594 / 0.255139 (0.087455) | 0.363237 / 0.283200 (0.080038) | 0.087316 / 0.141683 (-0.054367) | 1.468690 / 1.452155 (0.016535) | 1.553974 / 1.492716 (0.061257) |

### 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) | 0.198366 / 0.018006 (0.180360) | 0.401581 / 0.000490 (0.401091) | 0.000400 / 0.000200 (0.000200) | 0.000059 / 0.000054 (0.000005) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.023150 / 0.037411 (-0.014261) | 0.097797 / 0.014526 (0.083271) | 0.106198 / 0.176557 (-0.070359) | 0.139599 / 0.737135 (-0.597536) | 0.108361 / 0.296338 (-0.187978) |

### 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) | 0.472962 / 0.215209 (0.257753) | 4.702688 / 2.077655 (2.625033) | 2.401002 / 1.504120 (0.896882) | 2.193857 / 1.541195 (0.652663) | 2.219188 / 1.468490 (0.750697) | 0.689993 / 4.584777 (-3.894784) | 3.369409 / 3.745712 (-0.376304) | 1.824801 / 5.269862 (-3.445061) | 1.150815 / 4.565676 (-3.414862) | 0.082197 / 0.424275 (-0.342078) | 0.012287 / 0.007607 (0.004679) | 0.581963 / 0.226044 (0.355918) | 5.786943 / 2.268929 (3.518015) | 2.871235 / 55.444624 (-52.573389) | 2.516009 / 6.876477 (-4.360468) | 2.535669 / 2.142072 (0.393597) | 0.804733 / 4.805227 (-4.000494) | 0.150545 / 6.500664 (-6.350119) | 0.066964 / 0.075469 (-0.008505) |

### 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) | 1.285431 / 1.841788 (-0.556356) | 14.097108 / 8.074308 (6.022800) | 13.821497 / 10.191392 (3.630105) | 0.141922 / 0.680424 (-0.538502) | 0.016964 / 0.534201 (-0.517237) | 0.374784 / 0.579283 (-0.204500) | 0.381034 / 0.434364 (-0.053330) | 0.435487 / 0.540337 (-0.104850) | 0.521894 / 1.386936 (-0.865042) |

</details>
</details>

![](https://cml.dev/watermark.png#462000c2b12a11f1fc26853e842d3f6e40287737 "CML watermark")


<details>
<summary>Show benchmarks</summary>

PyArrow==6.0.0

<details>
<summary>Show updated benchmarks!</summary>

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.009486 / 0.011353 (-0.001867) | 0.005363 / 0.011008 (-0.005645) | 0.101008 / 0.038508 (0.062500) | 0.036355 / 0.023109 (0.013246) | 0.290575 / 0.275898 (0.014677) | 0.391634 / 0.323480 (0.068154) | 0.009085 / 0.007986 (0.001099) | 0.005780 / 0.004328 (0.001451) | 0.077848 / 0.004250 (0.073598) | 0.049062 / 0.037052 (0.012009) | 0.310900 / 0.258489 (0.052411) | 0.358224 / 0.293841 (0.064383) | 0.038838 / 0.128546 (-0.089708) | 0.012244 / 0.075646 (-0.063402) | 0.333701 / 0.419271 (-0.085570) | 0.048021 / 0.043533 (0.004488) | 0.289584 / 0.255139 (0.034445) | 0.317556 / 0.283200 (0.034356) | 0.109807 / 0.141683 (-0.031876) | 1.465966 / 1.452155 (0.013811) | 1.526341 / 1.492716 (0.033625) |

### 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) | 0.246221 / 0.018006 (0.228215) | 0.580659 / 0.000490 (0.580169) | 0.000627 / 0.000200 (0.000427) | 0.000089 / 0.000054 (0.000035) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.028352 / 0.037411 (-0.009059) | 0.110569 / 0.014526 (0.096043) | 0.126456 / 0.176557 (-0.050100) | 0.163633 / 0.737135 (-0.573503) | 0.128252 / 0.296338 (-0.168087) |

### 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) | 0.397271 / 0.215209 (0.182062) | 3.975336 / 2.077655 (1.897682) | 1.786957 / 1.504120 (0.282837) | 1.598468 / 1.541195 (0.057273) | 1.645299 / 1.468490 (0.176809) | 0.686221 / 4.584777 (-3.898556) | 3.753184 / 3.745712 (0.007472) | 2.089505 / 5.269862 (-3.180356) | 1.325799 / 4.565676 (-3.239878) | 0.084608 / 0.424275 (-0.339667) | 0.012343 / 0.007607 (0.004736) | 0.509951 / 0.226044 (0.283907) | 5.092102 / 2.268929 (2.823174) | 2.297551 / 55.444624 (-53.147073) | 1.938177 / 6.876477 (-4.938300) | 2.012448 / 2.142072 (-0.129625) | 0.835206 / 4.805227 (-3.970021) | 0.166373 / 6.500664 (-6.334291) | 0.063996 / 0.075469 (-0.011473) |

### 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) | 1.212936 / 1.841788 (-0.628851) | 15.067370 / 8.074308 (6.993062) | 14.165214 / 10.191392 (3.973822) | 0.157041 / 0.680424 (-0.523383) | 0.029612 / 0.534201 (-0.504589) | 0.440006 / 0.579283 (-0.139277) | 0.439165 / 0.434364 (0.004801) | 0.524970 / 0.540337 (-0.015368) | 0.608305 / 1.386936 (-0.778631) |

</details>
PyArrow==latest

<details>
<summary>Show updated benchmarks!</summary>

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.007433 / 0.011353 (-0.003920) | 0.005310 / 0.011008 (-0.005698) | 0.097194 / 0.038508 (0.058686) | 0.033265 / 0.023109 (0.010156) | 0.369908 / 0.275898 (0.094010) | 0.411508 / 0.323480 (0.088028) | 0.006000 / 0.007986 (-0.001986) | 0.005647 / 0.004328 (0.001319) | 0.075597 / 0.004250 (0.071347) | 0.051951 / 0.037052 (0.014899) | 0.378469 / 0.258489 (0.119980) | 0.424849 / 0.293841 (0.131008) | 0.036700 / 0.128546 (-0.091846) | 0.012535 / 0.075646 (-0.063111) | 0.333197 / 0.419271 (-0.086074) | 0.049046 / 0.043533 (0.005513) | 0.381845 / 0.255139 (0.126706) | 0.397846 / 0.283200 (0.114646) | 0.109152 / 0.141683 (-0.032531) | 1.432407 / 1.452155 (-0.019748) | 1.555509 / 1.492716 (0.062793) |

### 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) | 0.265433 / 0.018006 (0.247427) | 0.559590 / 0.000490 (0.559100) | 0.000492 / 0.000200 (0.000292) | 0.000060 / 0.000054 (0.000005) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.029748 / 0.037411 (-0.007663) | 0.110490 / 0.014526 (0.095964) | 0.124125 / 0.176557 (-0.052431) | 0.160089 / 0.737135 (-0.577046) | 0.128755 / 0.296338 (-0.167583) |

### 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) | 0.443976 / 0.215209 (0.228767) | 4.416960 / 2.077655 (2.339305) | 2.239408 / 1.504120 (0.735288) | 2.055341 / 1.541195 (0.514147) | 2.093479 / 1.468490 (0.624988) | 0.688846 / 4.584777 (-3.895930) | 3.797526 / 3.745712 (0.051814) | 3.578137 / 5.269862 (-1.691725) | 2.015073 / 4.565676 (-2.550603) | 0.084126 / 0.424275 (-0.340149) | 0.012581 / 0.007607 (0.004974) | 0.549774 / 0.226044 (0.323730) | 5.492185 / 2.268929 (3.223256) | 2.739851 / 55.444624 (-52.704773) | 2.371091 / 6.876477 (-4.505386) | 2.400178 / 2.142072 (0.258105) | 0.831227 / 4.805227 (-3.974001) | 0.166156 / 6.500664 (-6.334508) | 0.063901 / 0.075469 (-0.011568) |

### 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) | 1.236127 / 1.841788 (-0.605660) | 15.236884 / 8.074308 (7.162576) | 14.434351 / 10.191392 (4.242959) | 0.163725 / 0.680424 (-0.516699) | 0.018009 / 0.534201 (-0.516192) | 0.430612 / 0.579283 (-0.148671) | 0.420426 / 0.434364 (-0.013938) | 0.497062 / 0.540337 (-0.043275) | 0.590924 / 1.386936 (-0.796012) |

</details>
</details>

![](https://cml.dev/watermark.png#63377dc53fc94f19bc2b0bbfb118a90d01a1d020 "CML watermark")


<details>
<summary>Show benchmarks</summary>

PyArrow==6.0.0

<details>
<summary>Show updated benchmarks!</summary>

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.010862 / 0.011353 (-0.000491) | 0.005741 / 0.011008 (-0.005267) | 0.111911 / 0.038508 (0.073403) | 0.042316 / 0.023109 (0.019207) | 0.347665 / 0.275898 (0.071767) | 0.377335 / 0.323480 (0.053855) | 0.009400 / 0.007986 (0.001414) | 0.006814 / 0.004328 (0.002486) | 0.087194 / 0.004250 (0.082943) | 0.046878 / 0.037052 (0.009826) | 0.348920 / 0.258489 (0.090430) | 0.393347 / 0.293841 (0.099507) | 0.044212 / 0.128546 (-0.084334) | 0.013925 / 0.075646 (-0.061722) | 0.386076 / 0.419271 (-0.033195) | 0.054195 / 0.043533 (0.010662) | 0.358486 / 0.255139 (0.103347) | 0.360132 / 0.283200 (0.076932) | 0.109783 / 0.141683 (-0.031900) | 1.679875 / 1.452155 (0.227720) | 1.794379 / 1.492716 (0.301663) |

### 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) | 0.221927 / 0.018006 (0.203921) | 0.487352 / 0.000490 (0.486863) | 0.003494 / 0.000200 (0.003294) | 0.000091 / 0.000054 (0.000037) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.032201 / 0.037411 (-0.005210) | 0.125861 / 0.014526 (0.111335) | 0.133905 / 0.176557 (-0.042652) | 0.183319 / 0.737135 (-0.553817) | 0.142646 / 0.296338 (-0.153693) |

### 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) | 0.442720 / 0.215209 (0.227511) | 4.602619 / 2.077655 (2.524964) | 2.050214 / 1.504120 (0.546094) | 1.837968 / 1.541195 (0.296773) | 1.961199 / 1.468490 (0.492709) | 0.793426 / 4.584777 (-3.791351) | 4.472078 / 3.745712 (0.726366) | 2.364903 / 5.269862 (-2.904959) | 1.515076 / 4.565676 (-3.050600) | 0.103087 / 0.424275 (-0.321188) | 0.014676 / 0.007607 (0.007068) | 0.576887 / 0.226044 (0.350843) | 5.785525 / 2.268929 (3.516596) | 2.765231 / 55.444624 (-52.679393) | 2.365364 / 6.876477 (-4.511113) | 2.448335 / 2.142072 (0.306262) | 0.978726 / 4.805227 (-3.826501) | 0.191417 / 6.500664 (-6.309247) | 0.073295 / 0.075469 (-0.002174) |

### 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) | 1.378995 / 1.841788 (-0.462792) | 16.583655 / 8.074308 (8.509347) | 14.944731 / 10.191392 (4.753339) | 0.168916 / 0.680424 (-0.511508) | 0.035272 / 0.534201 (-0.498928) | 0.489729 / 0.579283 (-0.089554) | 0.496231 / 0.434364 (0.061867) | 0.576218 / 0.540337 (0.035880) | 0.673558 / 1.386936 (-0.713378) |

</details>
PyArrow==latest

<details>
<summary>Show updated benchmarks!</summary>

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.008104 / 0.011353 (-0.003249) | 0.005179 / 0.011008 (-0.005829) | 0.103908 / 0.038508 (0.065400) | 0.034661 / 0.023109 (0.011552) | 0.398119 / 0.275898 (0.122221) | 0.411765 / 0.323480 (0.088286) | 0.006016 / 0.007986 (-0.001970) | 0.005637 / 0.004328 (0.001308) | 0.073662 / 0.004250 (0.069412) | 0.052411 / 0.037052 (0.015359) | 0.391826 / 0.258489 (0.133337) | 0.455217 / 0.293841 (0.161376) | 0.039924 / 0.128546 (-0.088622) | 0.013390 / 0.075646 (-0.062256) | 0.390319 / 0.419271 (-0.028953) | 0.054312 / 0.043533 (0.010779) | 0.395492 / 0.255139 (0.140353) | 0.446324 / 0.283200 (0.163124) | 0.116461 / 0.141683 (-0.025222) | 1.502163 / 1.452155 (0.050008) | 1.731541 / 1.492716 (0.238825) |

### 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) | 0.282612 / 0.018006 (0.264606) | 0.503170 / 0.000490 (0.502680) | 0.005307 / 0.000200 (0.005107) | 0.000100 / 0.000054 (0.000046) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.029071 / 0.037411 (-0.008340) | 0.123831 / 0.014526 (0.109306) | 0.133284 / 0.176557 (-0.043272) | 0.172029 / 0.737135 (-0.565106) | 0.140639 / 0.296338 (-0.155700) |

### 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) | 0.496812 / 0.215209 (0.281603) | 4.958915 / 2.077655 (2.881260) | 2.559188 / 1.504120 (1.055068) | 2.262434 / 1.541195 (0.721240) | 2.371126 / 1.468490 (0.902636) | 0.780150 / 4.584777 (-3.804627) | 4.417060 / 3.745712 (0.671348) | 2.401909 / 5.269862 (-2.867953) | 1.527943 / 4.565676 (-3.037733) | 0.100074 / 0.424275 (-0.324201) | 0.014853 / 0.007607 (0.007246) | 0.630192 / 0.226044 (0.404147) | 6.409685 / 2.268929 (4.140757) | 3.224718 / 55.444624 (-52.219906) | 2.795301 / 6.876477 (-4.081176) | 2.927205 / 2.142072 (0.785132) | 0.989537 / 4.805227 (-3.815690) | 0.199775 / 6.500664 (-6.300889) | 0.076725 / 0.075469 (0.001256) |

### 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) | 1.433504 / 1.841788 (-0.408284) | 17.117134 / 8.074308 (9.042825) | 16.606367 / 10.191392 (6.414975) | 0.165653 / 0.680424 (-0.514771) | 0.020818 / 0.534201 (-0.513383) | 0.496782 / 0.579283 (-0.082501) | 0.473895 / 0.434364 (0.039531) | 0.576796 / 0.540337 (0.036459) | 0.703272 / 1.386936 (-0.683664) |

</details>
</details>

![](https://cml.dev/watermark.png#6627fb6f2639ac3b1435b3386545612db038a42e "CML watermark")


<details>
<summary>Show benchmarks</summary>

PyArrow==6.0.0

<details>
<summary>Show updated benchmarks!</summary>

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.012501 / 0.011353 (0.001148) | 0.006437 / 0.011008 (-0.004571) | 0.129387 / 0.038508 (0.090878) | 0.035847 / 0.023109 (0.012737) | 0.339243 / 0.275898 (0.063345) | 0.423274 / 0.323480 (0.099794) | 0.008489 / 0.007986 (0.000503) | 0.004596 / 0.004328 (0.000268) | 0.103322 / 0.004250 (0.099071) | 0.043570 / 0.037052 (0.006517) | 0.357004 / 0.258489 (0.098515) | 0.426511 / 0.293841 (0.132670) | 0.062923 / 0.128546 (-0.065623) | 0.021168 / 0.075646 (-0.054478) | 0.387485 / 0.419271 (-0.031787) | 0.059745 / 0.043533 (0.016213) | 0.341101 / 0.255139 (0.085962) | 0.365530 / 0.283200 (0.082331) | 0.102110 / 0.141683 (-0.039573) | 1.729408 / 1.452155 (0.277253) | 1.759510 / 1.492716 (0.266794) |

### 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) | 0.187065 / 0.018006 (0.169059) | 0.499685 / 0.000490 (0.499196) | 0.004677 / 0.000200 (0.004478) | 0.000120 / 0.000054 (0.000065) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.025827 / 0.037411 (-0.011584) | 0.113780 / 0.014526 (0.099255) | 0.146060 / 0.176557 (-0.030496) | 0.158169 / 0.737135 (-0.578966) | 0.136133 / 0.296338 (-0.160206) |

### 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) | 0.608421 / 0.215209 (0.393211) | 5.907395 / 2.077655 (3.829741) | 2.193140 / 1.504120 (0.689021) | 1.870315 / 1.541195 (0.329120) | 1.885660 / 1.468490 (0.417170) | 1.227637 / 4.584777 (-3.357140) | 5.319242 / 3.745712 (1.573530) | 2.991595 / 5.269862 (-2.278267) | 2.043906 / 4.565676 (-2.521771) | 0.151829 / 0.424275 (-0.272447) | 0.018974 / 0.007607 (0.011367) | 0.778035 / 0.226044 (0.551991) | 7.705796 / 2.268929 (5.436868) | 2.990156 / 55.444624 (-52.454468) | 2.372643 / 6.876477 (-4.503834) | 2.240847 / 2.142072 (0.098775) | 1.407209 / 4.805227 (-3.398018) | 0.242336 / 6.500664 (-6.258328) | 0.069847 / 0.075469 (-0.005622) |

### 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) | 1.445817 / 1.841788 (-0.395970) | 16.059632 / 8.074308 (7.985324) | 18.541971 / 10.191392 (8.350579) | 0.237830 / 0.680424 (-0.442594) | 0.041060 / 0.534201 (-0.493141) | 0.496765 / 0.579283 (-0.082518) | 0.609666 / 0.434364 (0.175302) | 0.584614 / 0.540337 (0.044277) | 0.680858 / 1.386936 (-0.706078) |

</details>
PyArrow==latest

<details>
<summary>Show updated benchmarks!</summary>

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.009037 / 0.011353 (-0.002315) | 0.005961 / 0.011008 (-0.005047) | 0.127204 / 0.038508 (0.088696) | 0.030664 / 0.023109 (0.007555) | 0.417968 / 0.275898 (0.142070) | 0.515316 / 0.323480 (0.191836) | 0.006549 / 0.007986 (-0.001436) | 0.004456 / 0.004328 (0.000128) | 0.083715 / 0.004250 (0.079464) | 0.043701 / 0.037052 (0.006648) | 0.521153 / 0.258489 (0.262664) | 0.565456 / 0.293841 (0.271615) | 0.055298 / 0.128546 (-0.073248) | 0.018103 / 0.075646 (-0.057544) | 0.403990 / 0.419271 (-0.015282) | 0.060162 / 0.043533 (0.016629) | 0.486383 / 0.255139 (0.231244) | 0.470342 / 0.283200 (0.187142) | 0.102269 / 0.141683 (-0.039414) | 1.643241 / 1.452155 (0.191086) | 1.763850 / 1.492716 (0.271133) |

### 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) | 0.185602 / 0.018006 (0.167596) | 0.489163 / 0.000490 (0.488674) | 0.000426 / 0.000200 (0.000226) | 0.000086 / 0.000054 (0.000031) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.026689 / 0.037411 (-0.010722) | 0.111520 / 0.014526 (0.096994) | 0.119838 / 0.176557 (-0.056719) | 0.153698 / 0.737135 (-0.583437) | 0.130969 / 0.296338 (-0.165370) |

### 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) | 0.616170 / 0.215209 (0.400961) | 6.219702 / 2.077655 (4.142048) | 2.533554 / 1.504120 (1.029434) | 2.256009 / 1.541195 (0.714815) | 2.217617 / 1.468490 (0.749127) | 1.156920 / 4.584777 (-3.427857) | 5.175759 / 3.745712 (1.430046) | 2.848419 / 5.269862 (-2.421442) | 1.943864 / 4.565676 (-2.621813) | 0.138342 / 0.424275 (-0.285933) | 0.013140 / 0.007607 (0.005533) | 0.782105 / 0.226044 (0.556060) | 7.602003 / 2.268929 (5.333075) | 3.629577 / 55.444624 (-51.815047) | 2.713849 / 6.876477 (-4.162628) | 2.663888 / 2.142072 (0.521816) | 1.418381 / 4.805227 (-3.386847) | 0.250649 / 6.500664 (-6.250015) | 0.073564 / 0.075469 (-0.001905) |

### 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) | 1.483739 / 1.841788 (-0.358049) | 16.386204 / 8.074308 (8.311896) | 20.685262 / 10.191392 (10.493870) | 0.237084 / 0.680424 (-0.443340) | 0.039097 / 0.534201 (-0.495104) | 0.525399 / 0.579283 (-0.053884) | 0.587541 / 0.434364 (0.153177) | 0.566605 / 0.540337 (0.026268) | 0.677384 / 1.386936 (-0.709552) |

</details>
</details>

![](https://cml.dev/watermark.png#b3b67d42733dabb15ce4997c8324f8e047ce12bd "CML watermark")


<details>
<summary>Show benchmarks</summary>

PyArrow==6.0.0

<details>
<summary>Show updated benchmarks!</summary>

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.014050 / 0.011353 (0.002697) | 0.005981 / 0.011008 (-0.005028) | 0.126307 / 0.038508 (0.087799) | 0.035400 / 0.023109 (0.012290) | 0.387821 / 0.275898 (0.111923) | 0.462785 / 0.323480 (0.139305) | 0.009427 / 0.007986 (0.001441) | 0.005081 / 0.004328 (0.000753) | 0.097273 / 0.004250 (0.093023) | 0.044699 / 0.037052 (0.007647) | 0.396025 / 0.258489 (0.137536) | 0.450137 / 0.293841 (0.156296) | 0.055660 / 0.128546 (-0.072886) | 0.022710 / 0.075646 (-0.052936) | 0.443784 / 0.419271 (0.024513) | 0.065756 / 0.043533 (0.022223) | 0.379350 / 0.255139 (0.124211) | 0.396783 / 0.283200 (0.113583) | 0.114088 / 0.141683 (-0.027594) | 1.856834 / 1.452155 (0.404679) | 1.839292 / 1.492716 (0.346576) |

### 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) | 0.206748 / 0.018006 (0.188742) | 0.517711 / 0.000490 (0.517222) | 0.008302 / 0.000200 (0.008102) | 0.000494 / 0.000054 (0.000440) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.033987 / 0.037411 (-0.003424) | 0.131067 / 0.014526 (0.116542) | 0.155539 / 0.176557 (-0.021018) | 0.188598 / 0.737135 (-0.548537) | 0.156000 / 0.296338 (-0.140338) |

### 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) | 0.641413 / 0.215209 (0.426204) | 6.156680 / 2.077655 (4.079025) | 2.428858 / 1.504120 (0.924738) | 2.086195 / 1.541195 (0.545000) | 2.109604 / 1.468490 (0.641114) | 1.209426 / 4.584777 (-3.375351) | 5.139398 / 3.745712 (1.393686) | 3.041337 / 5.269862 (-2.228524) | 2.294809 / 4.565676 (-2.270868) | 0.142206 / 0.424275 (-0.282069) | 0.015167 / 0.007607 (0.007560) | 0.816269 / 0.226044 (0.590224) | 7.953931 / 2.268929 (5.685002) | 3.201793 / 55.444624 (-52.242832) | 2.448620 / 6.876477 (-4.427857) | 2.521670 / 2.142072 (0.379597) | 1.484094 / 4.805227 (-3.321133) | 0.255069 / 6.500664 (-6.245595) | 0.076031 / 0.075469 (0.000561) |

### 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) | 1.590951 / 1.841788 (-0.250836) | 17.661353 / 8.074308 (9.587045) | 21.097837 / 10.191392 (10.906445) | 0.229265 / 0.680424 (-0.451159) | 0.042618 / 0.534201 (-0.491583) | 0.535942 / 0.579283 (-0.043342) | 0.590195 / 0.434364 (0.155831) | 0.623985 / 0.540337 (0.083648) | 0.742637 / 1.386936 (-0.644299) |

</details>
PyArrow==latest

<details>
<summary>Show updated benchmarks!</summary>

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.009264 / 0.011353 (-0.002088) | 0.008798 / 0.011008 (-0.002210) | 0.122208 / 0.038508 (0.083700) | 0.034835 / 0.023109 (0.011726) | 0.462618 / 0.275898 (0.186720) | 0.505632 / 0.323480 (0.182152) | 0.006320 / 0.007986 (-0.001665) | 0.005383 / 0.004328 (0.001054) | 0.091229 / 0.004250 (0.086979) | 0.045828 / 0.037052 (0.008775) | 0.477507 / 0.258489 (0.219018) | 0.539616 / 0.293841 (0.245775) | 0.061913 / 0.128546 (-0.066633) | 0.019390 / 0.075646 (-0.056257) | 0.420016 / 0.419271 (0.000745) | 0.065958 / 0.043533 (0.022425) | 0.468603 / 0.255139 (0.213464) | 0.486246 / 0.283200 (0.203046) | 0.107924 / 0.141683 (-0.033759) | 1.843614 / 1.452155 (0.391459) | 1.988159 / 1.492716 (0.495442) |

### 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) | 0.247043 / 0.018006 (0.229037) | 0.515580 / 0.000490 (0.515090) | 0.005630 / 0.000200 (0.005430) | 0.000115 / 0.000054 (0.000060) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.030674 / 0.037411 (-0.006737) | 0.130783 / 0.014526 (0.116258) | 0.147669 / 0.176557 (-0.028888) | 0.175656 / 0.737135 (-0.561479) | 0.138317 / 0.296338 (-0.158022) |

### 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) | 0.727119 / 0.215209 (0.511909) | 6.848208 / 2.077655 (4.770553) | 3.121418 / 1.504120 (1.617298) | 2.701799 / 1.541195 (1.160604) | 2.749179 / 1.468490 (1.280689) | 1.312058 / 4.584777 (-3.272719) | 5.400562 / 3.745712 (1.654850) | 3.058142 / 5.269862 (-2.211719) | 2.076361 / 4.565676 (-2.489316) | 0.142169 / 0.424275 (-0.282106) | 0.014340 / 0.007607 (0.006733) | 0.853534 / 0.226044 (0.627490) | 8.734484 / 2.268929 (6.465556) | 3.968130 / 55.444624 (-51.476495) | 3.118032 / 6.876477 (-3.758444) | 3.078757 / 2.142072 (0.936684) | 1.460694 / 4.805227 (-3.344533) | 0.261858 / 6.500664 (-6.238806) | 0.081089 / 0.075469 (0.005620) |

### 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) | 1.611473 / 1.841788 (-0.230315) | 17.660545 / 8.074308 (9.586237) | 20.526023 / 10.191392 (10.334631) | 0.223320 / 0.680424 (-0.457103) | 0.027939 / 0.534201 (-0.506261) | 0.542704 / 0.579283 (-0.036579) | 0.563826 / 0.434364 (0.129462) | 0.639936 / 0.540337 (0.099599) | 0.755974 / 1.386936 (-0.630962) |

</details>
</details>

![](https://cml.dev/watermark.png#942141e13ba2be853e2231d9edbfa38044e2632d "CML watermark")


<details>
<summary>Show benchmarks</summary>

PyArrow==6.0.0

<details>
<summary>Show updated benchmarks!</summary>

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.008776 / 0.011353 (-0.002577) | 0.004532 / 0.011008 (-0.006476) | 0.100373 / 0.038508 (0.061865) | 0.029706 / 0.023109 (0.006597) | 0.304374 / 0.275898 (0.028476) | 0.337223 / 0.323480 (0.013743) | 0.007021 / 0.007986 (-0.000965) | 0.003420 / 0.004328 (-0.000908) | 0.077754 / 0.004250 (0.073504) | 0.034411 / 0.037052 (-0.002642) | 0.302926 / 0.258489 (0.044437) | 0.342654 / 0.293841 (0.048813) | 0.034528 / 0.128546 (-0.094018) | 0.011926 / 0.075646 (-0.063721) | 0.322971 / 0.419271 (-0.096301) | 0.041384 / 0.043533 (-0.002149) | 0.306433 / 0.255139 (0.051294) | 0.332293 / 0.283200 (0.049093) | 0.084972 / 0.141683 (-0.056711) | 1.493426 / 1.452155 (0.041271) | 1.570446 / 1.492716 (0.077729) |

### 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) | 0.189090 / 0.018006 (0.171084) | 0.433904 / 0.000490 (0.433414) | 0.001323 / 0.000200 (0.001124) | 0.000073 / 0.000054 (0.000019) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.023531 / 0.037411 (-0.013880) | 0.097774 / 0.014526 (0.083248) | 0.106383 / 0.176557 (-0.070174) | 0.139158 / 0.737135 (-0.597977) | 0.109443 / 0.296338 (-0.186896) |

### 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) | 0.419078 / 0.215209 (0.203869) | 4.182657 / 2.077655 (2.105002) | 1.887276 / 1.504120 (0.383156) | 1.679542 / 1.541195 (0.138347) | 1.718035 / 1.468490 (0.249545) | 0.692628 / 4.584777 (-3.892149) | 3.361354 / 3.745712 (-0.384358) | 1.928583 / 5.269862 (-3.341278) | 1.317291 / 4.565676 (-3.248386) | 0.081799 / 0.424275 (-0.342476) | 0.012318 / 0.007607 (0.004711) | 0.525927 / 0.226044 (0.299883) | 5.285905 / 2.268929 (3.016977) | 2.317524 / 55.444624 (-53.127100) | 1.966478 / 6.876477 (-4.909998) | 2.054869 / 2.142072 (-0.087204) | 0.807579 / 4.805227 (-3.997649) | 0.149854 / 6.500664 (-6.350810) | 0.065285 / 0.075469 (-0.010184) |

### 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) | 1.180516 / 1.841788 (-0.661271) | 13.889734 / 8.074308 (5.815426) | 14.076163 / 10.191392 (3.884771) | 0.156276 / 0.680424 (-0.524148) | 0.029187 / 0.534201 (-0.505013) | 0.403859 / 0.579283 (-0.175424) | 0.404998 / 0.434364 (-0.029366) | 0.471467 / 0.540337 (-0.068871) | 0.564526 / 1.386936 (-0.822410) |

</details>
PyArrow==latest

<details>
<summary>Show updated benchmarks!</summary>

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.006739 / 0.011353 (-0.004614) | 0.004644 / 0.011008 (-0.006364) | 0.097326 / 0.038508 (0.058818) | 0.027728 / 0.023109 (0.004619) | 0.413537 / 0.275898 (0.137639) | 0.452012 / 0.323480 (0.128532) | 0.005346 / 0.007986 (-0.002639) | 0.003338 / 0.004328 (-0.000991) | 0.075670 / 0.004250 (0.071420) | 0.038825 / 0.037052 (0.001772) | 0.415612 / 0.258489 (0.157123) | 0.454680 / 0.293841 (0.160839) | 0.031866 / 0.128546 (-0.096680) | 0.011616 / 0.075646 (-0.064031) | 0.319527 / 0.419271 (-0.099745) | 0.041283 / 0.043533 (-0.002250) | 0.412046 / 0.255139 (0.156907) | 0.435244 / 0.283200 (0.152044) | 0.088400 / 0.141683 (-0.053283) | 1.478125 / 1.452155 (0.025970) | 1.553677 / 1.492716 (0.060960) |

### 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) | 0.229919 / 0.018006 (0.211913) | 0.415446 / 0.000490 (0.414956) | 0.000386 / 0.000200 (0.000186) | 0.000058 / 0.000054 (0.000003) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.024365 / 0.037411 (-0.013046) | 0.098225 / 0.014526 (0.083699) | 0.106674 / 0.176557 (-0.069883) | 0.144755 / 0.737135 (-0.592380) | 0.109221 / 0.296338 (-0.187117) |

### 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) | 0.457665 / 0.215209 (0.242456) | 4.597849 / 2.077655 (2.520195) | 2.171275 / 1.504120 (0.667155) | 1.945547 / 1.541195 (0.404352) | 2.014043 / 1.468490 (0.545553) | 0.699732 / 4.584777 (-3.885045) | 3.420711 / 3.745712 (-0.325001) | 3.298702 / 5.269862 (-1.971159) | 1.390324 / 4.565676 (-3.175353) | 0.082668 / 0.424275 (-0.341607) | 0.012556 / 0.007607 (0.004949) | 0.550406 / 0.226044 (0.324361) | 5.501060 / 2.268929 (3.232132) | 2.659841 / 55.444624 (-52.784783) | 2.243443 / 6.876477 (-4.633034) | 2.266006 / 2.142072 (0.123934) | 0.806295 / 4.805227 (-3.998933) | 0.151399 / 6.500664 (-6.349265) | 0.067048 / 0.075469 (-0.008421) |

### 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) | 1.291404 / 1.841788 (-0.550384) | 14.164728 / 8.074308 (6.090419) | 13.980219 / 10.191392 (3.788827) | 0.140599 / 0.680424 (-0.539824) | 0.016880 / 0.534201 (-0.517321) | 0.379073 / 0.579283 (-0.200210) | 0.385770 / 0.434364 (-0.048594) | 0.442516 / 0.540337 (-0.097822) | 0.533569 / 1.386936 (-0.853367) |

</details>
</details>

![](https://cml.dev/watermark.png#29fa15df972353f51fc434cf8eceb574b60a415f "CML watermark")


Tests seem to be failing for unrelated reasons.

Tests are failing because of a bug on the Hub side - this is being fixed :)

lmk once the TF documentation page is updated and we can merge !

@lhoestq Docs updated!