Better filenotfound for gated
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<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) | 0.006374 / 0.011353 (-0.004979) | 0.004100 / 0.011008 (-0.006909) | 0.104031 / 0.038508 (0.065523) | 0.035186 / 0.023109 (0.012076) | 0.328904 / 0.275898 (0.053006) | 0.361409 / 0.323480 (0.037929) | 0.003855 / 0.007986 (-0.004130) | 0.004140 / 0.004328 (-0.000189) | 0.080406 / 0.004250 (0.076156) | 0.045658 / 0.037052 (0.008606) | 0.341133 / 0.258489 (0.082644) | 0.372688 / 0.293841 (0.078847) | 0.032025 / 0.128546 (-0.096521) | 0.008877 / 0.075646 (-0.066769) | 0.354784 / 0.419271 (-0.064488) | 0.068874 / 0.043533 (0.025341) | 0.335441 / 0.255139 (0.080302) | 0.356498 / 0.283200 (0.073298) | 0.113367 / 0.141683 (-0.028316) | 1.522458 / 1.452155 (0.070304) | 1.608046 / 1.492716 (0.115329) |

### 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) | 0.231653 / 0.018006 (0.213647) | 0.446678 / 0.000490 (0.446188) | 0.003246 / 0.000200 (0.003046) | 0.000085 / 0.000054 (0.000030) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.025299 / 0.037411 (-0.012112) | 0.111440 / 0.014526 (0.096914) | 0.118758 / 0.176557 (-0.057799) | 0.175037 / 0.737135 (-0.562098) | 0.124583 / 0.296338 (-0.171755) |

### 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) | 0.418694 / 0.215209 (0.203484) | 4.174695 / 2.077655 (2.097041) | 1.890323 / 1.504120 (0.386203) | 1.683300 / 1.541195 (0.142106) | 1.781954 / 1.468490 (0.313464) | 0.546131 / 4.584777 (-4.038645) | 3.768055 / 3.745712 (0.022343) | 1.839878 / 5.269862 (-3.429983) | 1.111877 / 4.565676 (-3.453800) | 0.068568 / 0.424275 (-0.355707) | 0.011950 / 0.007607 (0.004343) | 0.527469 / 0.226044 (0.301425) | 5.274887 / 2.268929 (3.005958) | 2.391274 / 55.444624 (-53.053351) | 2.063837 / 6.876477 (-4.812640) | 2.140627 / 2.142072 (-0.001445) | 0.681508 / 4.805227 (-4.123719) | 0.148203 / 6.500664 (-6.352461) | 0.064456 / 0.075469 (-0.011013) |

### 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) | 1.221478 / 1.841788 (-0.620310) | 14.713705 / 8.074308 (6.639397) | 14.674184 / 10.191392 (4.482792) | 0.148411 / 0.680424 (-0.532012) | 0.017858 / 0.534201 (-0.516343) | 0.436166 / 0.579283 (-0.143117) | 0.437290 / 0.434364 (0.002926) | 0.521994 / 0.540337 (-0.018343) | 0.635488 / 1.386936 (-0.751448) |

</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) | 0.006108 / 0.011353 (-0.005245) | 0.003888 / 0.011008 (-0.007120) | 0.078424 / 0.038508 (0.039916) | 0.033618 / 0.023109 (0.010509) | 0.376284 / 0.275898 (0.100386) | 0.396957 / 0.323480 (0.073477) | 0.003799 / 0.007986 (-0.004187) | 0.003160 / 0.004328 (-0.001168) | 0.078358 / 0.004250 (0.074107) | 0.045597 / 0.037052 (0.008545) | 0.386396 / 0.258489 (0.127907) | 0.412985 / 0.293841 (0.119144) | 0.031610 / 0.128546 (-0.096936) | 0.008720 / 0.075646 (-0.066926) | 0.085944 / 0.419271 (-0.333328) | 0.050780 / 0.043533 (0.007247) | 0.378099 / 0.255139 (0.122960) | 0.381894 / 0.283200 (0.098694) | 0.098926 / 0.141683 (-0.042756) | 1.513842 / 1.452155 (0.061688) | 1.595040 / 1.492716 (0.102323) |

### 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) | 0.208169 / 0.018006 (0.190163) | 0.431653 / 0.000490 (0.431163) | 0.000935 / 0.000200 (0.000735) | 0.000088 / 0.000054 (0.000034) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.029600 / 0.037411 (-0.007812) | 0.116936 / 0.014526 (0.102410) | 0.125603 / 0.176557 (-0.050953) | 0.177007 / 0.737135 (-0.560129) | 0.130602 / 0.296338 (-0.165736) |

### 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) | 0.457158 / 0.215209 (0.241949) | 4.563254 / 2.077655 (2.485599) | 2.303549 / 1.504120 (0.799429) | 2.107269 / 1.541195 (0.566074) | 2.130861 / 1.468490 (0.662371) | 0.548931 / 4.584777 (-4.035846) | 3.745578 / 3.745712 (-0.000134) | 1.820372 / 5.269862 (-3.449490) | 1.099316 / 4.565676 (-3.466361) | 0.068218 / 0.424275 (-0.356057) | 0.012336 / 0.007607 (0.004728) | 0.569721 / 0.226044 (0.343676) | 5.691312 / 2.268929 (3.422384) | 2.797483 / 55.444624 (-52.647141) | 2.422621 / 6.876477 (-4.453855) | 2.426187 / 2.142072 (0.284115) | 0.674777 / 4.805227 (-4.130451) | 0.144855 / 6.500664 (-6.355809) | 0.065805 / 0.075469 (-0.009664) |

### 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) | 1.305078 / 1.841788 (-0.536709) | 14.874315 / 8.074308 (6.800007) | 14.541301 / 10.191392 (4.349909) | 0.175818 / 0.680424 (-0.504606) | 0.018169 / 0.534201 (-0.516032) | 0.435836 / 0.579283 (-0.143447) | 0.458397 / 0.434364 (0.024033) | 0.506232 / 0.540337 (-0.034106) | 0.605306 / 1.386936 (-0.781630) |

</details>
</details>

![](https://cml.dev/watermark.png#7e0c1ceab96821c7c6557482d25a9bd2078d716a "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) | 0.006138 / 0.011353 (-0.005215) | 0.003792 / 0.011008 (-0.007216) | 0.099417 / 0.038508 (0.060908) | 0.028739 / 0.023109 (0.005630) | 0.302835 / 0.275898 (0.026937) | 0.336397 / 0.323480 (0.012918) | 0.003537 / 0.007986 (-0.004449) | 0.002973 / 0.004328 (-0.001355) | 0.077461 / 0.004250 (0.073211) | 0.039493 / 0.037052 (0.002440) | 0.302367 / 0.258489 (0.043878) | 0.344936 / 0.293841 (0.051095) | 0.027813 / 0.128546 (-0.100733) | 0.008591 / 0.075646 (-0.067055) | 0.318975 / 0.419271 (-0.100297) | 0.045971 / 0.043533 (0.002438) | 0.301672 / 0.255139 (0.046533) | 0.328202 / 0.283200 (0.045003) | 0.091400 / 0.141683 (-0.050282) | 1.487215 / 1.452155 (0.035060) | 1.557730 / 1.492716 (0.065014) |

### 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) | 0.208343 / 0.018006 (0.190336) | 0.426764 / 0.000490 (0.426275) | 0.001196 / 0.000200 (0.000996) | 0.000069 / 0.000054 (0.000015) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.024332 / 0.037411 (-0.013079) | 0.101861 / 0.014526 (0.087335) | 0.108669 / 0.176557 (-0.067888) | 0.172042 / 0.737135 (-0.565093) | 0.113048 / 0.296338 (-0.183290) |

### 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) | 0.421419 / 0.215209 (0.206210) | 4.200816 / 2.077655 (2.123162) | 1.913516 / 1.504120 (0.409396) | 1.712167 / 1.541195 (0.170972) | 1.762129 / 1.468490 (0.293639) | 0.561616 / 4.584777 (-4.023161) | 3.398122 / 3.745712 (-0.347590) | 1.744323 / 5.269862 (-3.525538) | 1.036023 / 4.565676 (-3.529653) | 0.067658 / 0.424275 (-0.356617) | 0.011145 / 0.007607 (0.003538) | 0.522803 / 0.226044 (0.296759) | 5.226245 / 2.268929 (2.957317) | 2.355148 / 55.444624 (-53.089476) | 2.014939 / 6.876477 (-4.861538) | 2.140028 / 2.142072 (-0.002044) | 0.695049 / 4.805227 (-4.110178) | 0.138428 / 6.500664 (-6.362236) | 0.066721 / 0.075469 (-0.008748) |

### 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) | 1.219610 / 1.841788 (-0.622177) | 14.239576 / 8.074308 (6.165268) | 14.381955 / 10.191392 (4.190563) | 0.131208 / 0.680424 (-0.549216) | 0.016698 / 0.534201 (-0.517503) | 0.361373 / 0.579283 (-0.217910) | 0.382560 / 0.434364 (-0.051804) | 0.419427 / 0.540337 (-0.120911) | 0.508314 / 1.386936 (-0.878622) |

</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) | 0.006174 / 0.011353 (-0.005179) | 0.003893 / 0.011008 (-0.007115) | 0.079614 / 0.038508 (0.041106) | 0.028685 / 0.023109 (0.005576) | 0.368627 / 0.275898 (0.092729) | 0.411599 / 0.323480 (0.088119) | 0.003573 / 0.007986 (-0.004413) | 0.002989 / 0.004328 (-0.001340) | 0.078653 / 0.004250 (0.074402) | 0.041146 / 0.037052 (0.004094) | 0.362387 / 0.258489 (0.103898) | 0.417234 / 0.293841 (0.123393) | 0.027958 / 0.128546 (-0.100589) | 0.008695 / 0.075646 (-0.066952) | 0.084637 / 0.419271 (-0.334635) | 0.044188 / 0.043533 (0.000655) | 0.358514 / 0.255139 (0.103375) | 0.392314 / 0.283200 (0.109114) | 0.093986 / 0.141683 (-0.047697) | 1.535366 / 1.452155 (0.083212) | 1.605978 / 1.492716 (0.113262) |

### 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) | 0.196215 / 0.018006 (0.178209) | 0.429403 / 0.000490 (0.428913) | 0.003736 / 0.000200 (0.003536) | 0.000078 / 0.000054 (0.000023) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.025281 / 0.037411 (-0.012130) | 0.104325 / 0.014526 (0.089799) | 0.111548 / 0.176557 (-0.065009) | 0.162326 / 0.737135 (-0.574809) | 0.113853 / 0.296338 (-0.182486) |

### 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) | 0.447600 / 0.215209 (0.232391) | 4.463422 / 2.077655 (2.385767) | 2.168028 / 1.504120 (0.663908) | 1.968699 / 1.541195 (0.427504) | 2.035531 / 1.468490 (0.567041) | 0.564575 / 4.584777 (-4.020202) | 3.435338 / 3.745712 (-0.310374) | 2.981930 / 5.269862 (-2.287932) | 1.492172 / 4.565676 (-3.073505) | 0.067981 / 0.424275 (-0.356294) | 0.011254 / 0.007607 (0.003647) | 0.544385 / 0.226044 (0.318340) | 5.441694 / 2.268929 (3.172765) | 2.650168 / 55.444624 (-52.794456) | 2.333974 / 6.876477 (-4.542503) | 2.383424 / 2.142072 (0.241351) | 0.669814 / 4.805227 (-4.135414) | 0.135456 / 6.500664 (-6.365209) | 0.067067 / 0.075469 (-0.008402) |

### 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) | 1.313275 / 1.841788 (-0.528513) | 14.527636 / 8.074308 (6.453328) | 14.470957 / 10.191392 (4.279565) | 0.144361 / 0.680424 (-0.536063) | 0.016847 / 0.534201 (-0.517354) | 0.365158 / 0.579283 (-0.214125) | 0.393809 / 0.434364 (-0.040555) | 0.428527 / 0.540337 (-0.111810) | 0.515816 / 1.386936 (-0.871120) |

</details>
</details>

![](https://cml.dev/watermark.png#7845d4c3c301226b3f8941ac90aaa123bfd7c69e "CML watermark")

close https://github.com/huggingface/datasets/issues/5953

<img width="1292" alt="image" src="https://github.com/huggingface/datasets/assets/42851186/270fe5bc-1739-4878-b7bc-ab6d35336d4d">
