Title: Do not filter out .zip extensions from no-script datasets
State: closed

This PR is a hotfix of:
- #6207

That PR introduced the filtering out of `.zip` extensions. This PR reverts that.

Hot fix #6207.

Maybe we should do patch releases: the bug was introduced in 2.13.1.

CC: @lhoestq 

Comments: <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) | 0.006797 / 0.011353 (-0.004556) | 0.003966 / 0.011008 (-0.007042) | 0.085296 / 0.038508 (0.046788) | 0.076873 / 0.023109 (0.053764) | 0.355795 / 0.275898 (0.079897) | 0.397132 / 0.323480 (0.073652) | 0.005325 / 0.007986 (-0.002660) | 0.003343 / 0.004328 (-0.000986) | 0.064966 / 0.004250 (0.060716) | 0.054519 / 0.037052 (0.017467) | 0.357864 / 0.258489 (0.099374) | 0.409238 / 0.293841 (0.115397) | 0.031620 / 0.128546 (-0.096926) | 0.008529 / 0.075646 (-0.067117) | 0.288502 / 0.419271 (-0.130769) | 0.053260 / 0.043533 (0.009728) | 0.355245 / 0.255139 (0.100106) | 0.384139 / 0.283200 (0.100939) | 0.024507 / 0.141683 (-0.117176) | 1.494696 / 1.452155 (0.042541) | 1.579847 / 1.492716 (0.087130) |

### 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) | 0.204011 / 0.018006 (0.186005) | 0.451729 / 0.000490 (0.451239) | 0.004628 / 0.000200 (0.004428) | 0.000081 / 0.000054 (0.000026) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.028342 / 0.037411 (-0.009069) | 0.084647 / 0.014526 (0.070121) | 0.096174 / 0.176557 (-0.080383) | 0.151753 / 0.737135 (-0.585382) | 0.096347 / 0.296338 (-0.199991) |

### 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) | 0.387179 / 0.215209 (0.171970) | 3.861552 / 2.077655 (1.783898) | 1.844033 / 1.504120 (0.339913) | 1.678811 / 1.541195 (0.137616) | 1.793207 / 1.468490 (0.324717) | 0.485836 / 4.584777 (-4.098941) | 3.566274 / 3.745712 (-0.179438) | 3.269888 / 5.269862 (-1.999974) | 2.042850 / 4.565676 (-2.522827) | 0.057088 / 0.424275 (-0.367187) | 0.007627 / 0.007607 (0.000019) | 0.460510 / 0.226044 (0.234465) | 4.602019 / 2.268929 (2.333090) | 2.390984 / 55.444624 (-53.053641) | 1.976150 / 6.876477 (-4.900327) | 2.193394 / 2.142072 (0.051322) | 0.582775 / 4.805227 (-4.222453) | 0.133408 / 6.500664 (-6.367256) | 0.060577 / 0.075469 (-0.014893) |

### 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) | 1.248505 / 1.841788 (-0.593283) | 19.771301 / 8.074308 (11.696993) | 14.327871 / 10.191392 (4.136479) | 0.155288 / 0.680424 (-0.525136) | 0.018310 / 0.534201 (-0.515891) | 0.393664 / 0.579283 (-0.185619) | 0.410578 / 0.434364 (-0.023786) | 0.459301 / 0.540337 (-0.081037) | 0.631921 / 1.386936 (-0.755015) |

</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) | 0.006827 / 0.011353 (-0.004526) | 0.004094 / 0.011008 (-0.006915) | 0.065299 / 0.038508 (0.026791) | 0.079496 / 0.023109 (0.056387) | 0.403661 / 0.275898 (0.127763) | 0.434449 / 0.323480 (0.110969) | 0.005398 / 0.007986 (-0.002588) | 0.003410 / 0.004328 (-0.000919) | 0.064832 / 0.004250 (0.060582) | 0.056303 / 0.037052 (0.019250) | 0.397848 / 0.258489 (0.139359) | 0.438244 / 0.293841 (0.144403) | 0.032637 / 0.128546 (-0.095909) | 0.008584 / 0.075646 (-0.067063) | 0.071406 / 0.419271 (-0.347866) | 0.048265 / 0.043533 (0.004732) | 0.397814 / 0.255139 (0.142675) | 0.421601 / 0.283200 (0.138402) | 0.023815 / 0.141683 (-0.117868) | 1.504814 / 1.452155 (0.052659) | 1.577185 / 1.492716 (0.084469) |

### 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) | 0.231775 / 0.018006 (0.213769) | 0.445437 / 0.000490 (0.444948) | 0.005252 / 0.000200 (0.005052) | 0.000093 / 0.000054 (0.000039) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.032777 / 0.037411 (-0.004634) | 0.095054 / 0.014526 (0.080528) | 0.106429 / 0.176557 (-0.070127) | 0.160111 / 0.737135 (-0.577024) | 0.108075 / 0.296338 (-0.188263) |

### 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) | 0.426034 / 0.215209 (0.210825) | 4.244668 / 2.077655 (2.167013) | 2.257938 / 1.504120 (0.753818) | 2.087993 / 1.541195 (0.546798) | 2.170878 / 1.468490 (0.702387) | 0.485228 / 4.584777 (-4.099549) | 3.725912 / 3.745712 (-0.019800) | 3.286925 / 5.269862 (-1.982937) | 2.059929 / 4.565676 (-2.505748) | 0.057813 / 0.424275 (-0.366462) | 0.007518 / 0.007607 (-0.000089) | 0.506632 / 0.226044 (0.280588) | 5.048340 / 2.268929 (2.779411) | 2.744756 / 55.444624 (-52.699869) | 2.406636 / 6.876477 (-4.469841) | 2.617552 / 2.142072 (0.475480) | 0.588476 / 4.805227 (-4.216751) | 0.133518 / 6.500664 (-6.367146) | 0.060778 / 0.075469 (-0.014691) |

### 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) | 1.356416 / 1.841788 (-0.485372) | 20.467516 / 8.074308 (12.393208) | 15.265443 / 10.191392 (5.074051) | 0.169201 / 0.680424 (-0.511223) | 0.020087 / 0.534201 (-0.514114) | 0.402332 / 0.579283 (-0.176951) | 0.414848 / 0.434364 (-0.019516) | 0.470422 / 0.540337 (-0.069916) | 0.647266 / 1.386936 (-0.739670) |

</details>
</details>

![](https://cml.dev/watermark.png#eb001b4cee7f1d71e393c3ad489a8a5cd8119df5 "CML watermark")
_The documentation is not available anymore as the PR was closed or merged._<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) | 0.005804 / 0.011353 (-0.005549) | 0.003519 / 0.011008 (-0.007489) | 0.080003 / 0.038508 (0.041495) | 0.055419 / 0.023109 (0.032309) | 0.395254 / 0.275898 (0.119356) | 0.432714 / 0.323480 (0.109234) | 0.004438 / 0.007986 (-0.003548) | 0.002832 / 0.004328 (-0.001496) | 0.062026 / 0.004250 (0.057775) | 0.044334 / 0.037052 (0.007282) | 0.401278 / 0.258489 (0.142789) | 0.451516 / 0.293841 (0.157675) | 0.026791 / 0.128546 (-0.101755) | 0.007946 / 0.075646 (-0.067700) | 0.265166 / 0.419271 (-0.154106) | 0.044119 / 0.043533 (0.000586) | 0.399621 / 0.255139 (0.144482) | 0.422808 / 0.283200 (0.139609) | 0.019998 / 0.141683 (-0.121685) | 1.433559 / 1.452155 (-0.018596) | 1.596902 / 1.492716 (0.104186) |

### 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) | 0.195662 / 0.018006 (0.177656) | 0.423167 / 0.000490 (0.422677) | 0.003426 / 0.000200 (0.003227) | 0.000066 / 0.000054 (0.000012) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.023318 / 0.037411 (-0.014094) | 0.072532 / 0.014526 (0.058006) | 0.082181 / 0.176557 (-0.094375) | 0.142214 / 0.737135 (-0.594921) | 0.083423 / 0.296338 (-0.212915) |

### 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) | 0.402270 / 0.215209 (0.187061) | 4.027607 / 2.077655 (1.949953) | 2.059803 / 1.504120 (0.555684) | 1.865115 / 1.541195 (0.323920) | 1.934976 / 1.468490 (0.466485) | 0.502145 / 4.584777 (-4.082632) | 2.970865 / 3.745712 (-0.774847) | 2.784155 / 5.269862 (-2.485707) | 1.822003 / 4.565676 (-2.743673) | 0.057699 / 0.424275 (-0.366576) | 0.006668 / 0.007607 (-0.000939) | 0.471164 / 0.226044 (0.245120) | 4.733079 / 2.268929 (2.464150) | 2.445119 / 55.444624 (-52.999505) | 2.132956 / 6.876477 (-4.743521) | 2.335998 / 2.142072 (0.193926) | 0.594881 / 4.805227 (-4.210347) | 0.125801 / 6.500664 (-6.374863) | 0.060780 / 0.075469 (-0.014689) |

### 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) | 1.233170 / 1.841788 (-0.608618) | 17.942205 / 8.074308 (9.867897) | 13.587020 / 10.191392 (3.395628) | 0.142110 / 0.680424 (-0.538314) | 0.016600 / 0.534201 (-0.517601) | 0.328659 / 0.579283 (-0.250624) | 0.347759 / 0.434364 (-0.086605) | 0.378651 / 0.540337 (-0.161687) | 0.523474 / 1.386936 (-0.863462) |

</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) | 0.006028 / 0.011353 (-0.005325) | 0.003552 / 0.011008 (-0.007456) | 0.062175 / 0.038508 (0.023667) | 0.057602 / 0.023109 (0.034493) | 0.444585 / 0.275898 (0.168687) | 0.471238 / 0.323480 (0.147758) | 0.004562 / 0.007986 (-0.003423) | 0.002871 / 0.004328 (-0.001457) | 0.063101 / 0.004250 (0.058851) | 0.046072 / 0.037052 (0.009020) | 0.448253 / 0.258489 (0.189764) | 0.478734 / 0.293841 (0.184893) | 0.028463 / 0.128546 (-0.100084) | 0.008090 / 0.075646 (-0.067557) | 0.068142 / 0.419271 (-0.351130) | 0.040517 / 0.043533 (-0.003016) | 0.447145 / 0.255139 (0.192006) | 0.469472 / 0.283200 (0.186273) | 0.019391 / 0.141683 (-0.122291) | 1.471195 / 1.452155 (0.019040) | 1.532966 / 1.492716 (0.040249) |

### 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) | 0.259894 / 0.018006 (0.241888) | 0.412987 / 0.000490 (0.412497) | 0.020780 / 0.000200 (0.020580) | 0.000084 / 0.000054 (0.000030) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.026352 / 0.037411 (-0.011060) | 0.080024 / 0.014526 (0.065498) | 0.088041 / 0.176557 (-0.088516) | 0.142987 / 0.737135 (-0.594148) | 0.090108 / 0.296338 (-0.206231) |

### 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) | 0.458874 / 0.215209 (0.243665) | 4.573005 / 2.077655 (2.495351) | 2.507885 / 1.504120 (1.003765) | 2.335432 / 1.541195 (0.794238) | 2.379617 / 1.468490 (0.911126) | 0.503331 / 4.584777 (-4.081446) | 3.078284 / 3.745712 (-0.667428) | 2.750580 / 5.269862 (-2.519282) | 1.828100 / 4.565676 (-2.737577) | 0.057572 / 0.424275 (-0.366703) | 0.006553 / 0.007607 (-0.001054) | 0.532283 / 0.226044 (0.306239) | 5.310584 / 2.268929 (3.041656) | 2.943559 / 55.444624 (-52.501065) | 2.587544 / 6.876477 (-4.288932) | 2.718261 / 2.142072 (0.576188) | 0.590267 / 4.805227 (-4.214961) | 0.123229 / 6.500664 (-6.377435) | 0.060219 / 0.075469 (-0.015250) |

### 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) | 1.340773 / 1.841788 (-0.501014) | 18.420766 / 8.074308 (10.346458) | 14.630550 / 10.191392 (4.439158) | 0.146666 / 0.680424 (-0.533758) | 0.017905 / 0.534201 (-0.516296) | 0.332483 / 0.579283 (-0.246801) | 0.355490 / 0.434364 (-0.078874) | 0.382618 / 0.540337 (-0.157720) | 0.531336 / 1.386936 (-0.855600) |

</details>
</details>

![](https://cml.dev/watermark.png#d438617fc577bc0222527714edafea0c52ebf239 "CML watermark")
There were CI errors unrelated to this PR.<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) | 0.008702 / 0.011353 (-0.002651) | 0.005060 / 0.011008 (-0.005948) | 0.097017 / 0.038508 (0.058509) | 0.073740 / 0.023109 (0.050631) | 0.435138 / 0.275898 (0.159240) | 0.512776 / 0.323480 (0.189296) | 0.006186 / 0.007986 (-0.001800) | 0.003970 / 0.004328 (-0.000358) | 0.089523 / 0.004250 (0.085273) | 0.054441 / 0.037052 (0.017389) | 0.447415 / 0.258489 (0.188926) | 0.464851 / 0.293841 (0.171010) | 0.050264 / 0.128546 (-0.078283) | 0.016643 / 0.075646 (-0.059004) | 0.350565 / 0.419271 (-0.068707) | 0.071220 / 0.043533 (0.027687) | 0.432531 / 0.255139 (0.177392) | 0.472994 / 0.283200 (0.189795) | 0.040229 / 0.141683 (-0.101454) | 1.743431 / 1.452155 (0.291276) | 1.778653 / 1.492716 (0.285936) |

### 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) | 0.261992 / 0.018006 (0.243986) | 0.571979 / 0.000490 (0.571489) | 0.006270 / 0.000200 (0.006071) | 0.000109 / 0.000054 (0.000054) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.027821 / 0.037411 (-0.009590) | 0.081874 / 0.014526 (0.067348) | 0.103725 / 0.176557 (-0.072831) | 0.170593 / 0.737135 (-0.566542) | 0.108749 / 0.296338 (-0.187590) |

### 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) | 0.690774 / 0.215209 (0.475565) | 6.770902 / 2.077655 (4.693247) | 2.887218 / 1.504120 (1.383098) | 2.456226 / 1.541195 (0.915032) | 2.509422 / 1.468490 (1.040932) | 0.768451 / 4.584777 (-3.816326) | 4.988933 / 3.745712 (1.243221) | 4.151460 / 5.269862 (-1.118402) | 2.640472 / 4.565676 (-1.925205) | 0.093522 / 0.424275 (-0.330753) | 0.008614 / 0.007607 (0.001007) | 0.696281 / 0.226044 (0.470237) | 6.721077 / 2.268929 (4.452149) | 3.229760 / 55.444624 (-52.214864) | 2.668521 / 6.876477 (-4.207956) | 2.866420 / 2.142072 (0.724347) | 0.945328 / 4.805227 (-3.859899) | 0.197645 / 6.500664 (-6.303019) | 0.074442 / 0.075469 (-0.001027) |

### 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) | 1.630468 / 1.841788 (-0.211320) | 22.991661 / 8.074308 (14.917353) | 19.816919 / 10.191392 (9.625527) | 0.257410 / 0.680424 (-0.423014) | 0.027228 / 0.534201 (-0.506973) | 0.444515 / 0.579283 (-0.134768) | 0.597067 / 0.434364 (0.162703) | 0.528151 / 0.540337 (-0.012186) | 0.771276 / 1.386936 (-0.615660) |

</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) | 0.009154 / 0.011353 (-0.002199) | 0.004648 / 0.011008 (-0.006360) | 0.073054 / 0.038508 (0.034546) | 0.077146 / 0.023109 (0.054037) | 0.481659 / 0.275898 (0.205761) | 0.516985 / 0.323480 (0.193505) | 0.007447 / 0.007986 (-0.000538) | 0.003890 / 0.004328 (-0.000438) | 0.078701 / 0.004250 (0.074450) | 0.059183 / 0.037052 (0.022131) | 0.475350 / 0.258489 (0.216861) | 0.547834 / 0.293841 (0.253993) | 0.058440 / 0.128546 (-0.070106) | 0.013563 / 0.075646 (-0.062083) | 0.084320 / 0.419271 (-0.334951) | 0.065965 / 0.043533 (0.022433) | 0.483541 / 0.255139 (0.228402) | 0.513940 / 0.283200 (0.230740) | 0.042889 / 0.141683 (-0.098794) | 1.676050 / 1.452155 (0.223895) | 1.759206 / 1.492716 (0.266489) |

### 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) | 0.274848 / 0.018006 (0.256841) | 0.588965 / 0.000490 (0.588475) | 0.006312 / 0.000200 (0.006112) | 0.000120 / 0.000054 (0.000065) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.033871 / 0.037411 (-0.003540) | 0.104013 / 0.014526 (0.089487) | 0.118457 / 0.176557 (-0.058099) | 0.178268 / 0.737135 (-0.558868) | 0.116972 / 0.296338 (-0.179366) |

### 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) | 0.609952 / 0.215209 (0.394743) | 5.788754 / 2.077655 (3.711100) | 2.812166 / 1.504120 (1.308046) | 2.362861 / 1.541195 (0.821666) | 2.641295 / 1.468490 (1.172804) | 0.767601 / 4.584777 (-3.817176) | 5.027439 / 3.745712 (1.281727) | 4.612511 / 5.269862 (-0.657351) | 2.654364 / 4.565676 (-1.911312) | 0.103100 / 0.424275 (-0.321175) | 0.012233 / 0.007607 (0.004626) | 0.749283 / 0.226044 (0.523238) | 7.511093 / 2.268929 (5.242165) | 3.585867 / 55.444624 (-51.858757) | 3.255110 / 6.876477 (-3.621366) | 3.260174 / 2.142072 (1.118102) | 0.958422 / 4.805227 (-3.846806) | 0.209096 / 6.500664 (-6.291568) | 0.075014 / 0.075469 (-0.000455) |

### 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) | 1.728283 / 1.841788 (-0.113504) | 25.411147 / 8.074308 (17.336839) | 21.335202 / 10.191392 (11.143810) | 0.199090 / 0.680424 (-0.481334) | 0.031288 / 0.534201 (-0.502913) | 0.449226 / 0.579283 (-0.130057) | 0.555570 / 0.434364 (0.121206) | 0.570297 / 0.540337 (0.029960) | 0.758673 / 1.386936 (-0.628263) |

</details>
</details>

![](https://cml.dev/watermark.png#fa696b4b4f0d11c5b8592eb31cb1d54a707e3d33 "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) | 0.006862 / 0.011353 (-0.004491) | 0.003959 / 0.011008 (-0.007049) | 0.087219 / 0.038508 (0.048711) | 0.078335 / 0.023109 (0.055226) | 0.319019 / 0.275898 (0.043121) | 0.342871 / 0.323480 (0.019391) | 0.004065 / 0.007986 (-0.003921) | 0.004346 / 0.004328 (0.000017) | 0.065243 / 0.004250 (0.060993) | 0.056698 / 0.037052 (0.019646) | 0.326906 / 0.258489 (0.068417) | 0.354323 / 0.293841 (0.060482) | 0.031252 / 0.128546 (-0.097295) | 0.008587 / 0.075646 (-0.067060) | 0.300323 / 0.419271 (-0.118948) | 0.052810 / 0.043533 (0.009277) | 0.323866 / 0.255139 (0.068727) | 0.346011 / 0.283200 (0.062811) | 0.025584 / 0.141683 (-0.116099) | 1.464475 / 1.452155 (0.012320) | 1.530868 / 1.492716 (0.038152) |

### 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) | 0.208927 / 0.018006 (0.190921) | 0.454147 / 0.000490 (0.453657) | 0.003945 / 0.000200 (0.003746) | 0.000081 / 0.000054 (0.000026) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.029901 / 0.037411 (-0.007511) | 0.088889 / 0.014526 (0.074363) | 0.098181 / 0.176557 (-0.078375) | 0.156787 / 0.737135 (-0.580349) | 0.099015 / 0.296338 (-0.197324) |

### 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) | 0.384981 / 0.215209 (0.169772) | 3.831040 / 2.077655 (1.753386) | 1.858312 / 1.504120 (0.354192) | 1.686846 / 1.541195 (0.145651) | 1.771509 / 1.468490 (0.303019) | 0.485618 / 4.584777 (-4.099159) | 3.430961 / 3.745712 (-0.314751) | 3.264489 / 5.269862 (-2.005372) | 2.040125 / 4.565676 (-2.525551) | 0.057218 / 0.424275 (-0.367057) | 0.007640 / 0.007607 (0.000033) | 0.468072 / 0.226044 (0.242027) | 4.677214 / 2.268929 (2.408286) | 2.348425 / 55.444624 (-53.096199) | 1.994352 / 6.876477 (-4.882125) | 2.217020 / 2.142072 (0.074948) | 0.587467 / 4.805227 (-4.217760) | 0.133550 / 6.500664 (-6.367114) | 0.060571 / 0.075469 (-0.014898) |

### 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) | 1.271003 / 1.841788 (-0.570785) | 19.986365 / 8.074308 (11.912057) | 14.574046 / 10.191392 (4.382654) | 0.146212 / 0.680424 (-0.534212) | 0.018320 / 0.534201 (-0.515881) | 0.394524 / 0.579283 (-0.184759) | 0.399707 / 0.434364 (-0.034657) | 0.458965 / 0.540337 (-0.081372) | 0.619940 / 1.386936 (-0.766996) |

</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) | 0.006982 / 0.011353 (-0.004371) | 0.004061 / 0.011008 (-0.006947) | 0.064520 / 0.038508 (0.026012) | 0.076828 / 0.023109 (0.053719) | 0.402989 / 0.275898 (0.127090) | 0.439697 / 0.323480 (0.116217) | 0.005511 / 0.007986 (-0.002475) | 0.003378 / 0.004328 (-0.000950) | 0.064727 / 0.004250 (0.060477) | 0.058114 / 0.037052 (0.021062) | 0.402054 / 0.258489 (0.143565) | 0.442377 / 0.293841 (0.148536) | 0.032808 / 0.128546 (-0.095738) | 0.008604 / 0.075646 (-0.067043) | 0.070994 / 0.419271 (-0.348278) | 0.048738 / 0.043533 (0.005205) | 0.399786 / 0.255139 (0.144647) | 0.423537 / 0.283200 (0.140338) | 0.022397 / 0.141683 (-0.119286) | 1.504613 / 1.452155 (0.052458) | 1.571064 / 1.492716 (0.078348) |

### 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) | 0.226876 / 0.018006 (0.208870) | 0.451477 / 0.000490 (0.450987) | 0.004511 / 0.000200 (0.004311) | 0.000095 / 0.000054 (0.000041) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.032998 / 0.037411 (-0.004413) | 0.095843 / 0.014526 (0.081317) | 0.105684 / 0.176557 (-0.070873) | 0.158175 / 0.737135 (-0.578960) | 0.107297 / 0.296338 (-0.189041) |

### 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) | 0.434912 / 0.215209 (0.219703) | 4.326394 / 2.077655 (2.248740) | 2.287310 / 1.504120 (0.783190) | 2.127987 / 1.541195 (0.586793) | 2.202485 / 1.468490 (0.733995) | 0.494305 / 4.584777 (-4.090472) | 3.575176 / 3.745712 (-0.170536) | 3.354358 / 5.269862 (-1.915504) | 2.074293 / 4.565676 (-2.491383) | 0.058967 / 0.424275 (-0.365308) | 0.007712 / 0.007607 (0.000105) | 0.513734 / 0.226044 (0.287690) | 5.107538 / 2.268929 (2.838610) | 2.776190 / 55.444624 (-52.668434) | 2.425051 / 6.876477 (-4.451426) | 2.666715 / 2.142072 (0.524643) | 0.598844 / 4.805227 (-4.206383) | 0.134186 / 6.500664 (-6.366478) | 0.062403 / 0.075469 (-0.013066) |

### 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) | 1.346730 / 1.841788 (-0.495058) | 20.533190 / 8.074308 (12.458882) | 15.174443 / 10.191392 (4.983051) | 0.167204 / 0.680424 (-0.513219) | 0.020619 / 0.534201 (-0.513582) | 0.399033 / 0.579283 (-0.180250) | 0.394428 / 0.434364 (-0.039936) | 0.468792 / 0.540337 (-0.071545) | 0.640122 / 1.386936 (-0.746814) |

</details>
</details>

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