Release: 2.12.0
State: closed


Comments:
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5803). All of your documentation changes will be reflected on that endpoint.

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

PyArrow==8.0.0

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

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.008303 / 0.011353 (-0.003050) | 0.005681 / 0.011008 (-0.005327) | 0.111830 / 0.038508 (0.073322) | 0.039222 / 0.023109 (0.016112) | 0.336773 / 0.275898 (0.060875) | 0.376673 / 0.323480 (0.053193) | 0.006756 / 0.007986 (-0.001230) | 0.006078 / 0.004328 (0.001749) | 0.083552 / 0.004250 (0.079301) | 0.054430 / 0.037052 (0.017377) | 0.337310 / 0.258489 (0.078821) | 0.386138 / 0.293841 (0.092297) | 0.040068 / 0.128546 (-0.088478) | 0.013895 / 0.075646 (-0.061751) | 0.384174 / 0.419271 (-0.035097) | 0.058244 / 0.043533 (0.014711) | 0.342410 / 0.255139 (0.087271) | 0.362417 / 0.283200 (0.079217) | 0.123470 / 0.141683 (-0.018213) | 1.662938 / 1.452155 (0.210784) | 1.786488 / 1.492716 (0.293771) |

### 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) | 0.232629 / 0.018006 (0.214622) | 0.478252 / 0.000490 (0.477762) | 0.008519 / 0.000200 (0.008319) | 0.000111 / 0.000054 (0.000057) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.031222 / 0.037411 (-0.006190) | 0.125875 / 0.014526 (0.111350) | 0.138995 / 0.176557 (-0.037562) | 0.213073 / 0.737135 (-0.524062) | 0.141848 / 0.296338 (-0.154490) |

### 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) | 0.463648 / 0.215209 (0.248439) | 4.582969 / 2.077655 (2.505314) | 2.104622 / 1.504120 (0.600502) | 1.887697 / 1.541195 (0.346502) | 1.946096 / 1.468490 (0.477606) | 0.809008 / 4.584777 (-3.775769) | 4.527871 / 3.745712 (0.782159) | 4.862721 / 5.269862 (-0.407141) | 2.423257 / 4.565676 (-2.142419) | 0.101080 / 0.424275 (-0.323196) | 0.014767 / 0.007607 (0.007160) | 0.574471 / 0.226044 (0.348427) | 5.746445 / 2.268929 (3.477516) | 2.682584 / 55.444624 (-52.762040) | 2.320113 / 6.876477 (-4.556364) | 2.474530 / 2.142072 (0.332458) | 0.992979 / 4.805227 (-3.812249) | 0.200812 / 6.500664 (-6.299852) | 0.076291 / 0.075469 (0.000822) |

### 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) | 1.395533 / 1.841788 (-0.446254) | 17.418803 / 8.074308 (9.344495) | 16.584875 / 10.191392 (6.393483) | 0.167739 / 0.680424 (-0.512685) | 0.020923 / 0.534201 (-0.513278) | 0.500788 / 0.579283 (-0.078496) | 0.510270 / 0.434364 (0.075906) | 0.589608 / 0.540337 (0.049270) | 0.694233 / 1.386936 (-0.692703) |

</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) | 0.008440 / 0.011353 (-0.002913) | 0.005871 / 0.011008 (-0.005137) | 0.085805 / 0.038508 (0.047297) | 0.039324 / 0.023109 (0.016215) | 0.400587 / 0.275898 (0.124689) | 0.431729 / 0.323480 (0.108249) | 0.006557 / 0.007986 (-0.001429) | 0.005778 / 0.004328 (0.001450) | 0.084394 / 0.004250 (0.080144) | 0.055274 / 0.037052 (0.018222) | 0.410568 / 0.258489 (0.152079) | 0.439952 / 0.293841 (0.146111) | 0.040335 / 0.128546 (-0.088211) | 0.013968 / 0.075646 (-0.061679) | 0.098765 / 0.419271 (-0.320507) | 0.055897 / 0.043533 (0.012364) | 0.387584 / 0.255139 (0.132445) | 0.412568 / 0.283200 (0.129368) | 0.120393 / 0.141683 (-0.021290) | 1.730996 / 1.452155 (0.278841) | 1.821538 / 1.492716 (0.328822) |

### 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) | 0.245688 / 0.018006 (0.227682) | 0.484888 / 0.000490 (0.484398) | 0.000485 / 0.000200 (0.000285) | 0.000068 / 0.000054 (0.000013) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.032340 / 0.037411 (-0.005072) | 0.130819 / 0.014526 (0.116293) | 0.138491 / 0.176557 (-0.038065) | 0.196902 / 0.737135 (-0.540233) | 0.145404 / 0.296338 (-0.150935) |

### 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) | 0.487643 / 0.215209 (0.272434) | 4.818956 / 2.077655 (2.741301) | 2.332316 / 1.504120 (0.828196) | 2.102018 / 1.541195 (0.560823) | 2.156743 / 1.468490 (0.688253) | 0.803365 / 4.584777 (-3.781412) | 4.308561 / 3.745712 (0.562849) | 2.373331 / 5.269862 (-2.896530) | 1.539474 / 4.565676 (-3.026202) | 0.099081 / 0.424275 (-0.325194) | 0.014627 / 0.007607 (0.007020) | 0.609883 / 0.226044 (0.383838) | 6.092402 / 2.268929 (3.823474) | 2.858137 / 55.444624 (-52.586488) | 2.463256 / 6.876477 (-4.413220) | 2.637048 / 2.142072 (0.494976) | 0.959552 / 4.805227 (-3.845676) | 0.194170 / 6.500664 (-6.306495) | 0.075231 / 0.075469 (-0.000238) |

### 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) | 1.516502 / 1.841788 (-0.325285) | 18.077893 / 8.074308 (10.003585) | 16.507961 / 10.191392 (6.316569) | 0.171643 / 0.680424 (-0.508780) | 0.020378 / 0.534201 (-0.513823) | 0.491508 / 0.579283 (-0.087775) | 0.492136 / 0.434364 (0.057772) | 0.602258 / 0.540337 (0.061920) | 0.719882 / 1.386936 (-0.667054) |

</details>
</details>

![](https://cml.dev/watermark.png#330ac3e95fd3f2d61bac31b5b9c24399a5b54723 "CML watermark")


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

PyArrow==8.0.0

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

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.006572 / 0.011353 (-0.004781) | 0.004647 / 0.011008 (-0.006362) | 0.098277 / 0.038508 (0.059769) | 0.027937 / 0.023109 (0.004828) | 0.339833 / 0.275898 (0.063935) | 0.398305 / 0.323480 (0.074825) | 0.005093 / 0.007986 (-0.002893) | 0.003374 / 0.004328 (-0.000954) | 0.075287 / 0.004250 (0.071037) | 0.037355 / 0.037052 (0.000303) | 0.339779 / 0.258489 (0.081290) | 0.403756 / 0.293841 (0.109915) | 0.030705 / 0.128546 (-0.097841) | 0.011596 / 0.075646 (-0.064050) | 0.323809 / 0.419271 (-0.095463) | 0.043357 / 0.043533 (-0.000176) | 0.342817 / 0.255139 (0.087678) | 0.386330 / 0.283200 (0.103130) | 0.088229 / 0.141683 (-0.053454) | 1.466017 / 1.452155 (0.013862) | 1.566551 / 1.492716 (0.073835) |

### 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) | 0.196276 / 0.018006 (0.178269) | 0.420321 / 0.000490 (0.419831) | 0.002234 / 0.000200 (0.002034) | 0.000071 / 0.000054 (0.000016) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.023999 / 0.037411 (-0.013412) | 0.095117 / 0.014526 (0.080592) | 0.102544 / 0.176557 (-0.074013) | 0.164796 / 0.737135 (-0.572340) | 0.107030 / 0.296338 (-0.189309) |

### 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) | 0.429299 / 0.215209 (0.214089) | 4.272503 / 2.077655 (2.194849) | 2.101890 / 1.504120 (0.597771) | 1.978907 / 1.541195 (0.437713) | 2.008993 / 1.468490 (0.540503) | 0.695171 / 4.584777 (-3.889606) | 3.427050 / 3.745712 (-0.318662) | 1.892945 / 5.269862 (-3.376917) | 1.247156 / 4.565676 (-3.318521) | 0.082576 / 0.424275 (-0.341699) | 0.012526 / 0.007607 (0.004918) | 0.526338 / 0.226044 (0.300293) | 5.313855 / 2.268929 (3.044927) | 2.421134 / 55.444624 (-53.023490) | 2.072026 / 6.876477 (-4.804451) | 2.159846 / 2.142072 (0.017773) | 0.800753 / 4.805227 (-4.004474) | 0.150507 / 6.500664 (-6.350157) | 0.066378 / 0.075469 (-0.009091) |

### 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) | 1.218709 / 1.841788 (-0.623079) | 13.649239 / 8.074308 (5.574931) | 13.952762 / 10.191392 (3.761370) | 0.141967 / 0.680424 (-0.538457) | 0.016443 / 0.534201 (-0.517758) | 0.380408 / 0.579283 (-0.198875) | 0.377693 / 0.434364 (-0.056671) | 0.439819 / 0.540337 (-0.100518) | 0.529667 / 1.386936 (-0.857269) |

</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) | 0.006722 / 0.011353 (-0.004630) | 0.004495 / 0.011008 (-0.006513) | 0.075459 / 0.038508 (0.036951) | 0.028135 / 0.023109 (0.005026) | 0.349904 / 0.275898 (0.074006) | 0.390620 / 0.323480 (0.067140) | 0.005175 / 0.007986 (-0.002810) | 0.004720 / 0.004328 (0.000392) | 0.074243 / 0.004250 (0.069993) | 0.039084 / 0.037052 (0.002032) | 0.352486 / 0.258489 (0.093997) | 0.397549 / 0.293841 (0.103708) | 0.030596 / 0.128546 (-0.097950) | 0.011627 / 0.075646 (-0.064020) | 0.083394 / 0.419271 (-0.335878) | 0.042155 / 0.043533 (-0.001378) | 0.345668 / 0.255139 (0.090529) | 0.383474 / 0.283200 (0.100275) | 0.096530 / 0.141683 (-0.045153) | 1.493360 / 1.452155 (0.041206) | 1.572259 / 1.492716 (0.079543) |

### 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) | 0.162605 / 0.018006 (0.144599) | 0.409513 / 0.000490 (0.409023) | 0.002029 / 0.000200 (0.001829) | 0.000069 / 0.000054 (0.000015) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.025824 / 0.037411 (-0.011588) | 0.102439 / 0.014526 (0.087913) | 0.109515 / 0.176557 (-0.067041) | 0.160650 / 0.737135 (-0.576486) | 0.112971 / 0.296338 (-0.183367) |

### 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) | 0.433293 / 0.215209 (0.218084) | 4.340286 / 2.077655 (2.262631) | 2.055857 / 1.504120 (0.551737) | 1.854451 / 1.541195 (0.313256) | 1.912752 / 1.468490 (0.444261) | 0.700076 / 4.584777 (-3.884701) | 3.361542 / 3.745712 (-0.384170) | 2.760204 / 5.269862 (-2.509658) | 1.477395 / 4.565676 (-3.088282) | 0.082868 / 0.424275 (-0.341407) | 0.012479 / 0.007607 (0.004872) | 0.532749 / 0.226044 (0.306704) | 5.323701 / 2.268929 (3.054772) | 2.509524 / 55.444624 (-52.935100) | 2.168668 / 6.876477 (-4.707809) | 2.259112 / 2.142072 (0.117040) | 0.806686 / 4.805227 (-3.998542) | 0.154620 / 6.500664 (-6.346044) | 0.068348 / 0.075469 (-0.007121) |

### 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) | 1.316512 / 1.841788 (-0.525276) | 14.158143 / 8.074308 (6.083835) | 14.110643 / 10.191392 (3.919251) | 0.143760 / 0.680424 (-0.536664) | 0.016851 / 0.534201 (-0.517350) | 0.376594 / 0.579283 (-0.202689) | 0.386957 / 0.434364 (-0.047407) | 0.466185 / 0.540337 (-0.074152) | 0.550269 / 1.386936 (-0.836667) |

</details>
</details>

![](https://cml.dev/watermark.png#8e1af7b30c94ce77abd9de732f19198e197d900c "CML watermark")


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

PyArrow==8.0.0

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

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.009457 / 0.011353 (-0.001896) | 0.006453 / 0.011008 (-0.004555) | 0.136392 / 0.038508 (0.097884) | 0.038378 / 0.023109 (0.015269) | 0.413171 / 0.275898 (0.137273) | 0.451605 / 0.323480 (0.128126) | 0.007123 / 0.007986 (-0.000863) | 0.006316 / 0.004328 (0.001987) | 0.103009 / 0.004250 (0.098758) | 0.049182 / 0.037052 (0.012130) | 0.398635 / 0.258489 (0.140146) | 0.463146 / 0.293841 (0.169305) | 0.056247 / 0.128546 (-0.072299) | 0.019589 / 0.075646 (-0.056058) | 0.475882 / 0.419271 (0.056610) | 0.094918 / 0.043533 (0.051385) | 0.416502 / 0.255139 (0.161363) | 0.447129 / 0.283200 (0.163929) | 0.133314 / 0.141683 (-0.008369) | 2.132888 / 1.452155 (0.680733) | 2.073383 / 1.492716 (0.580667) |

### 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) | 0.273037 / 0.018006 (0.255030) | 0.625675 / 0.000490 (0.625185) | 0.003449 / 0.000200 (0.003249) | 0.000185 / 0.000054 (0.000130) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.031889 / 0.037411 (-0.005523) | 0.131673 / 0.014526 (0.117148) | 0.141575 / 0.176557 (-0.034982) | 0.214978 / 0.737135 (-0.522158) | 0.145586 / 0.296338 (-0.150752) |

### 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) | 0.711135 / 0.215209 (0.495926) | 7.162492 / 2.077655 (5.084837) | 2.906028 / 1.504120 (1.401908) | 2.488855 / 1.541195 (0.947660) | 2.574628 / 1.468490 (1.106138) | 1.587824 / 4.584777 (-2.996953) | 6.332962 / 3.745712 (2.587250) | 5.419578 / 5.269862 (0.149717) | 2.935413 / 4.565676 (-1.630263) | 0.169159 / 0.424275 (-0.255116) | 0.015358 / 0.007607 (0.007751) | 0.862036 / 0.226044 (0.635992) | 8.559256 / 2.268929 (6.290328) | 3.530756 / 55.444624 (-51.913868) | 2.626288 / 6.876477 (-4.250188) | 2.770063 / 2.142072 (0.627990) | 1.500116 / 4.805227 (-3.305112) | 0.265109 / 6.500664 (-6.235555) | 0.084944 / 0.075469 (0.009475) |

### 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) | 1.631060 / 1.841788 (-0.210728) | 19.022827 / 8.074308 (10.948519) | 22.973632 / 10.191392 (12.782240) | 0.296265 / 0.680424 (-0.384158) | 0.032317 / 0.534201 (-0.501884) | 0.624171 / 0.579283 (0.044888) | 0.690643 / 0.434364 (0.256279) | 0.691206 / 0.540337 (0.150869) | 0.758855 / 1.386936 (-0.628081) |

</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) | 0.009441 / 0.011353 (-0.001912) | 0.006270 / 0.011008 (-0.004739) | 0.110284 / 0.038508 (0.071776) | 0.035952 / 0.023109 (0.012842) | 0.521894 / 0.275898 (0.245996) | 0.582624 / 0.323480 (0.259144) | 0.011400 / 0.007986 (0.003414) | 0.004677 / 0.004328 (0.000348) | 0.115721 / 0.004250 (0.111470) | 0.048521 / 0.037052 (0.011469) | 0.497142 / 0.258489 (0.238653) | 0.573733 / 0.293841 (0.279892) | 0.055788 / 0.128546 (-0.072759) | 0.020949 / 0.075646 (-0.054697) | 0.132968 / 0.419271 (-0.286303) | 0.063045 / 0.043533 (0.019512) | 0.537769 / 0.255139 (0.282630) | 0.527560 / 0.283200 (0.244361) | 0.123756 / 0.141683 (-0.017927) | 1.994111 / 1.452155 (0.541956) | 2.104623 / 1.492716 (0.611907) |

### 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) | 0.279057 / 0.018006 (0.261051) | 0.537342 / 0.000490 (0.536852) | 0.007782 / 0.000200 (0.007582) | 0.000115 / 0.000054 (0.000060) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.032018 / 0.037411 (-0.005394) | 0.133456 / 0.014526 (0.118930) | 0.142039 / 0.176557 (-0.034517) | 0.213769 / 0.737135 (-0.523366) | 0.143811 / 0.296338 (-0.152527) |

### 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) | 0.680142 / 0.215209 (0.464933) | 6.450439 / 2.077655 (4.372784) | 2.820724 / 1.504120 (1.316604) | 2.520407 / 1.541195 (0.979212) | 2.568972 / 1.468490 (1.100482) | 1.250584 / 4.584777 (-3.334193) | 6.108222 / 3.745712 (2.362509) | 3.065965 / 5.269862 (-2.203897) | 2.108675 / 4.565676 (-2.457002) | 0.167870 / 0.424275 (-0.256405) | 0.015127 / 0.007607 (0.007520) | 0.849645 / 0.226044 (0.623600) | 8.508727 / 2.268929 (6.239799) | 3.707897 / 55.444624 (-51.736727) | 3.009279 / 6.876477 (-3.867198) | 3.067179 / 2.142072 (0.925106) | 1.516370 / 4.805227 (-3.288858) | 0.264845 / 6.500664 (-6.235819) | 0.095137 / 0.075469 (0.019668) |

### 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) | 1.826306 / 1.841788 (-0.015481) | 20.119641 / 8.074308 (12.045333) | 21.532158 / 10.191392 (11.340766) | 0.278631 / 0.680424 (-0.401793) | 0.029494 / 0.534201 (-0.504707) | 0.621887 / 0.579283 (0.042604) | 0.686864 / 0.434364 (0.252500) | 0.695412 / 0.540337 (0.155074) | 0.864829 / 1.386936 (-0.522108) |

</details>
</details>

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