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2024-02-19T10:04:39Z
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<details>
<summary>Show benchmarks</summary>

PyArrow==8.0.0

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

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.004981 / 0.011353 (-0.006372) | 0.003030 / 0.011008 (-0.007978) | 0.059862 / 0.038508 (0.021354) | 0.030595 / 0.023109 (0.007486) | 0.262638 / 0.275898 (-0.013260) | 0.276287 / 0.323480 (-0.047193) | 0.003955 / 0.007986 (-0.004030) | 0.002667 / 0.004328 (-0.001661) | 0.047827 / 0.004250 (0.043576) | 0.041170 / 0.037052 (0.004118) | 0.252494 / 0.258489 (-0.005995) | 0.277493 / 0.293841 (-0.016348) | 0.027269 / 0.128546 (-0.101277) | 0.010380 / 0.075646 (-0.065266) | 0.204404 / 0.419271 (-0.214867) | 0.035251 / 0.043533 (-0.008282) | 0.244368 / 0.255139 (-0.010771) | 0.258003 / 0.283200 (-0.025197) | 0.016751 / 0.141683 (-0.124932) | 1.134108 / 1.452155 (-0.318047) | 1.159969 / 1.492716 (-0.332748) |

### 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) | 0.087011 / 0.018006 (0.069004) | 0.295577 / 0.000490 (0.295087) | 0.000213 / 0.000200 (0.000013) | 0.000044 / 0.000054 (-0.000011) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.017993 / 0.037411 (-0.019419) | 0.061690 / 0.014526 (0.047164) | 0.071791 / 0.176557 (-0.104765) | 0.118282 / 0.737135 (-0.618853) | 0.073453 / 0.296338 (-0.222885) |

### 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) | 0.284764 / 0.215209 (0.069555) | 2.771791 / 2.077655 (0.694136) | 1.469614 / 1.504120 (-0.034506) | 1.334096 / 1.541195 (-0.207099) | 1.339995 / 1.468490 (-0.128495) | 0.562740 / 4.584777 (-4.022037) | 2.390219 / 3.745712 (-1.355493) | 2.679776 / 5.269862 (-2.590086) | 1.684397 / 4.565676 (-2.881279) | 0.062137 / 0.424275 (-0.362138) | 0.004934 / 0.007607 (-0.002673) | 0.336257 / 0.226044 (0.110212) | 3.256330 / 2.268929 (0.987401) | 1.801520 / 55.444624 (-53.643105) | 1.520662 / 6.876477 (-5.355815) | 1.537023 / 2.142072 (-0.605049) | 0.644360 / 4.805227 (-4.160867) | 0.115603 / 6.500664 (-6.385061) | 0.040601 / 0.075469 (-0.034868) |

### Benchmark: benchmark_map_filter.json

| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |
|--------|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.982992 / 1.841788 (-0.858796) | 11.002182 / 8.074308 (2.927873) | 9.564671 / 10.191392 (-0.626721) | 0.137682 / 0.680424 (-0.542742) | 0.013936 / 0.534201 (-0.520265) | 0.285898 / 0.579283 (-0.293385) | 0.264426 / 0.434364 (-0.169938) | 0.321615 / 0.540337 (-0.218723) | 0.420216 / 1.386936 (-0.966720) |

</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) | 0.005239 / 0.011353 (-0.006114) | 0.003165 / 0.011008 (-0.007844) | 0.048176 / 0.038508 (0.009668) | 0.030680 / 0.023109 (0.007571) | 0.258176 / 0.275898 (-0.017722) | 0.282342 / 0.323480 (-0.041138) | 0.004218 / 0.007986 (-0.003767) | 0.002616 / 0.004328 (-0.001713) | 0.047253 / 0.004250 (0.043003) | 0.044178 / 0.037052 (0.007126) | 0.276942 / 0.258489 (0.018453) | 0.312353 / 0.293841 (0.018512) | 0.046714 / 0.128546 (-0.081832) | 0.009892 / 0.075646 (-0.065755) | 0.056123 / 0.419271 (-0.363149) | 0.032691 / 0.043533 (-0.010842) | 0.268781 / 0.255139 (0.013642) | 0.285921 / 0.283200 (0.002722) | 0.016050 / 0.141683 (-0.125633) | 1.138058 / 1.452155 (-0.314096) | 1.193405 / 1.492716 (-0.299311) |

### 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) | 0.089280 / 0.018006 (0.071273) | 0.288425 / 0.000490 (0.287935) | 0.000201 / 0.000200 (0.000001) | 0.000049 / 0.000054 (-0.000005) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.021536 / 0.037411 (-0.015875) | 0.075157 / 0.014526 (0.060631) | 0.088943 / 0.176557 (-0.087613) | 0.125191 / 0.737135 (-0.611945) | 0.087991 / 0.296338 (-0.208348) |

### 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) | 0.285103 / 0.215209 (0.069894) | 2.791798 / 2.077655 (0.714144) | 1.518104 / 1.504120 (0.013984) | 1.388690 / 1.541195 (-0.152505) | 1.409896 / 1.468490 (-0.058594) | 0.554077 / 4.584777 (-4.030700) | 2.396994 / 3.745712 (-1.348718) | 2.596801 / 5.269862 (-2.673060) | 1.683761 / 4.565676 (-2.881915) | 0.061209 / 0.424275 (-0.363066) | 0.004735 / 0.007607 (-0.002873) | 0.337566 / 0.226044 (0.111522) | 3.258183 / 2.268929 (0.989254) | 1.886185 / 55.444624 (-53.558439) | 1.599148 / 6.876477 (-5.277329) | 1.726867 / 2.142072 (-0.415206) | 0.642784 / 4.805227 (-4.162444) | 0.114947 / 6.500664 (-6.385717) | 0.040450 / 0.075469 (-0.035019) |

### 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) | 1.001316 / 1.841788 (-0.840472) | 11.695367 / 8.074308 (3.621058) | 9.854870 / 10.191392 (-0.336522) | 0.136462 / 0.680424 (-0.543961) | 0.016708 / 0.534201 (-0.517493) | 0.286421 / 0.579283 (-0.292862) | 0.270773 / 0.434364 (-0.163591) | 0.322947 / 0.540337 (-0.217390) | 0.416772 / 1.386936 (-0.970164) |

</details>
</details>

![](https://cml.dev/watermark.png#6ba542847314bd349301937e59c3de04ce13aa5e "CML watermark")

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