Title: Use `hf-internal-testing` repos for hosting test dataset repos
State: closed

Use `hf-internal-testing` for hosting instead of the maintainers' dataset repos.

Comments:
_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) | 0.006505 / 0.011353 (-0.004847) | 0.003950 / 0.011008 (-0.007058) | 0.084554 / 0.038508 (0.046046) | 0.074376 / 0.023109 (0.051267) | 0.350184 / 0.275898 (0.074286) | 0.380704 / 0.323480 (0.057224) | 0.004011 / 0.007986 (-0.003975) | 0.003890 / 0.004328 (-0.000438) | 0.065483 / 0.004250 (0.061232) | 0.054912 / 0.037052 (0.017860) | 0.359586 / 0.258489 (0.101097) | 0.403360 / 0.293841 (0.109519) | 0.030614 / 0.128546 (-0.097932) | 0.008530 / 0.075646 (-0.067117) | 0.288220 / 0.419271 (-0.131052) | 0.052270 / 0.043533 (0.008737) | 0.352557 / 0.255139 (0.097418) | 0.380509 / 0.283200 (0.097309) | 0.025513 / 0.141683 (-0.116170) | 1.488469 / 1.452155 (0.036315) | 1.559182 / 1.492716 (0.066466) |

### 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) | 0.266163 / 0.018006 (0.248157) | 0.596345 / 0.000490 (0.595855) | 0.004368 / 0.000200 (0.004168) | 0.000211 / 0.000054 (0.000156) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.027137 / 0.037411 (-0.010274) | 0.082251 / 0.014526 (0.067725) | 0.094745 / 0.176557 (-0.081812) | 0.148756 / 0.737135 (-0.588379) | 0.094580 / 0.296338 (-0.201758) |

### 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) | 0.383506 / 0.215209 (0.168297) | 3.823147 / 2.077655 (1.745493) | 1.859627 / 1.504120 (0.355507) | 1.687969 / 1.541195 (0.146775) | 1.720786 / 1.468490 (0.252296) | 0.476552 / 4.584777 (-4.108225) | 3.539558 / 3.745712 (-0.206154) | 3.209032 / 5.269862 (-2.060830) | 1.999643 / 4.565676 (-2.566034) | 0.056484 / 0.424275 (-0.367791) | 0.007443 / 0.007607 (-0.000164) | 0.456089 / 0.226044 (0.230044) | 4.562522 / 2.268929 (2.293593) | 2.348286 / 55.444624 (-53.096338) | 1.984323 / 6.876477 (-4.892154) | 2.148988 / 2.142072 (0.006915) | 0.570761 / 4.805227 (-4.234466) | 0.131439 / 6.500664 (-6.369225) | 0.059752 / 0.075469 (-0.015717) |

### 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) | 1.276803 / 1.841788 (-0.564985) | 19.406812 / 8.074308 (11.332504) | 13.979088 / 10.191392 (3.787696) | 0.157418 / 0.680424 (-0.523006) | 0.018051 / 0.534201 (-0.516150) | 0.392307 / 0.579283 (-0.186976) | 0.406603 / 0.434364 (-0.027760) | 0.458450 / 0.540337 (-0.081888) | 0.622569 / 1.386936 (-0.764367) |

</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) | 0.006552 / 0.011353 (-0.004800) | 0.004060 / 0.011008 (-0.006948) | 0.063522 / 0.038508 (0.025014) | 0.072537 / 0.023109 (0.049428) | 0.398452 / 0.275898 (0.122554) | 0.422059 / 0.323480 (0.098579) | 0.005577 / 0.007986 (-0.002409) | 0.003413 / 0.004328 (-0.000916) | 0.064095 / 0.004250 (0.059845) | 0.056883 / 0.037052 (0.019831) | 0.407119 / 0.258489 (0.148630) | 0.435889 / 0.293841 (0.142048) | 0.031549 / 0.128546 (-0.096998) | 0.008418 / 0.075646 (-0.067228) | 0.070315 / 0.419271 (-0.348957) | 0.047828 / 0.043533 (0.004295) | 0.398705 / 0.255139 (0.143566) | 0.416986 / 0.283200 (0.133786) | 0.022304 / 0.141683 (-0.119379) | 1.512597 / 1.452155 (0.060442) | 1.570588 / 1.492716 (0.077871) |

### 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) | 0.295100 / 0.018006 (0.277094) | 0.541883 / 0.000490 (0.541393) | 0.007375 / 0.000200 (0.007175) | 0.000100 / 0.000054 (0.000045) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.030877 / 0.037411 (-0.006534) | 0.090807 / 0.014526 (0.076281) | 0.106155 / 0.176557 (-0.070402) | 0.155546 / 0.737135 (-0.581589) | 0.103847 / 0.296338 (-0.192492) |

### 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) | 0.441176 / 0.215209 (0.225967) | 4.401025 / 2.077655 (2.323371) | 2.394764 / 1.504120 (0.890644) | 2.226434 / 1.541195 (0.685239) | 2.247248 / 1.468490 (0.778758) | 0.489149 / 4.584777 (-4.095628) | 3.642468 / 3.745712 (-0.103244) | 3.235597 / 5.269862 (-2.034265) | 1.992660 / 4.565676 (-2.573016) | 0.057457 / 0.424275 (-0.366818) | 0.007192 / 0.007607 (-0.000415) | 0.515978 / 0.226044 (0.289934) | 5.147728 / 2.268929 (2.878800) | 2.837394 / 55.444624 (-52.607230) | 2.505753 / 6.876477 (-4.370723) | 2.653090 / 2.142072 (0.511018) | 0.583274 / 4.805227 (-4.221954) | 0.132116 / 6.500664 (-6.368548) | 0.058794 / 0.075469 (-0.016675) |

### 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) | 1.331630 / 1.841788 (-0.510158) | 20.056890 / 8.074308 (11.982582) | 14.950561 / 10.191392 (4.759169) | 0.165449 / 0.680424 (-0.514975) | 0.020161 / 0.534201 (-0.514040) | 0.395791 / 0.579283 (-0.183492) | 0.415631 / 0.434364 (-0.018733) | 0.474440 / 0.540337 (-0.065898) | 0.643060 / 1.386936 (-0.743876) |

</details>
</details>

![](https://cml.dev/watermark.png#712185ed5e9cb3ff6d6528b4528882d51935f334 "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) | 0.007440 / 0.011353 (-0.003913) | 0.004456 / 0.011008 (-0.006552) | 0.099498 / 0.038508 (0.060990) | 0.077579 / 0.023109 (0.054470) | 0.374934 / 0.275898 (0.099036) | 0.409590 / 0.323480 (0.086110) | 0.005876 / 0.007986 (-0.002110) | 0.003642 / 0.004328 (-0.000687) | 0.076781 / 0.004250 (0.072531) | 0.060185 / 0.037052 (0.023133) | 0.374762 / 0.258489 (0.116273) | 0.445608 / 0.293841 (0.151767) | 0.036557 / 0.128546 (-0.091990) | 0.009941 / 0.075646 (-0.065706) | 0.345214 / 0.419271 (-0.074058) | 0.061912 / 0.043533 (0.018379) | 0.378346 / 0.255139 (0.123207) | 0.415275 / 0.283200 (0.132076) | 0.027396 / 0.141683 (-0.114287) | 1.776602 / 1.452155 (0.324447) | 1.827683 / 1.492716 (0.334967) |

### 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) | 0.235227 / 0.018006 (0.217221) | 0.491846 / 0.000490 (0.491356) | 0.004987 / 0.000200 (0.004787) | 0.000127 / 0.000054 (0.000073) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.032517 / 0.037411 (-0.004894) | 0.099217 / 0.014526 (0.084691) | 0.109749 / 0.176557 (-0.066807) | 0.176190 / 0.737135 (-0.560946) | 0.109868 / 0.296338 (-0.186471) |

### 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) | 0.455188 / 0.215209 (0.239979) | 4.560143 / 2.077655 (2.482489) | 2.249928 / 1.504120 (0.745809) | 2.032808 / 1.541195 (0.491614) | 2.090096 / 1.468490 (0.621605) | 0.567813 / 4.584777 (-4.016964) | 4.338299 / 3.745712 (0.592587) | 3.701589 / 5.269862 (-1.568273) | 2.404805 / 4.565676 (-2.160871) | 0.067931 / 0.424275 (-0.356344) | 0.009011 / 0.007607 (0.001404) | 0.542565 / 0.226044 (0.316521) | 5.406578 / 2.268929 (3.137650) | 2.773508 / 55.444624 (-52.671116) | 2.402926 / 6.876477 (-4.473550) | 2.679318 / 2.142072 (0.537246) | 0.683781 / 4.805227 (-4.121446) | 0.155970 / 6.500664 (-6.344694) | 0.070108 / 0.075469 (-0.005361) |

### 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) | 1.541583 / 1.841788 (-0.300205) | 21.592562 / 8.074308 (13.518254) | 16.426868 / 10.191392 (6.235476) | 0.168618 / 0.680424 (-0.511806) | 0.021560 / 0.534201 (-0.512641) | 0.467062 / 0.579283 (-0.112221) | 0.479968 / 0.434364 (0.045604) | 0.540747 / 0.540337 (0.000410) | 0.775502 / 1.386936 (-0.611434) |

</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) | 0.008632 / 0.011353 (-0.002721) | 0.004523 / 0.011008 (-0.006485) | 0.075814 / 0.038508 (0.037306) | 0.087096 / 0.023109 (0.063987) | 0.482136 / 0.275898 (0.206238) | 0.529969 / 0.323480 (0.206489) | 0.006882 / 0.007986 (-0.001103) | 0.003720 / 0.004328 (-0.000609) | 0.076232 / 0.004250 (0.071981) | 0.069307 / 0.037052 (0.032254) | 0.491554 / 0.258489 (0.233065) | 0.528989 / 0.293841 (0.235148) | 0.042219 / 0.128546 (-0.086327) | 0.009717 / 0.075646 (-0.065929) | 0.103006 / 0.419271 (-0.316266) | 0.060377 / 0.043533 (0.016844) | 0.484454 / 0.255139 (0.229315) | 0.536072 / 0.283200 (0.252872) | 0.027482 / 0.141683 (-0.114201) | 1.844677 / 1.452155 (0.392522) | 2.001800 / 1.492716 (0.509083) |

### 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) | 0.252367 / 0.018006 (0.234361) | 0.483601 / 0.000490 (0.483111) | 0.007445 / 0.000200 (0.007245) | 0.000163 / 0.000054 (0.000108) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.036463 / 0.037411 (-0.000948) | 0.108837 / 0.014526 (0.094311) | 0.122256 / 0.176557 (-0.054300) | 0.186455 / 0.737135 (-0.550681) | 0.122270 / 0.296338 (-0.174069) |

### 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) | 0.506291 / 0.215209 (0.291082) | 5.038044 / 2.077655 (2.960389) | 2.751017 / 1.504120 (1.246897) | 2.553655 / 1.541195 (1.012460) | 2.612724 / 1.468490 (1.144234) | 0.581755 / 4.584777 (-4.003022) | 4.376012 / 3.745712 (0.630300) | 3.749755 / 5.269862 (-1.520107) | 2.394059 / 4.565676 (-2.171618) | 0.068727 / 0.424275 (-0.355548) | 0.008714 / 0.007607 (0.001107) | 0.607371 / 0.226044 (0.381326) | 6.062053 / 2.268929 (3.793125) | 3.278378 / 55.444624 (-52.166247) | 2.866417 / 6.876477 (-4.010060) | 3.056150 / 2.142072 (0.914077) | 0.695090 / 4.805227 (-4.110137) | 0.155274 / 6.500664 (-6.345390) | 0.071106 / 0.075469 (-0.004363) |

### 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) | 1.584552 / 1.841788 (-0.257236) | 23.092569 / 8.074308 (15.018260) | 17.381905 / 10.191392 (7.190513) | 0.206535 / 0.680424 (-0.473888) | 0.025401 / 0.534201 (-0.508800) | 0.514297 / 0.579283 (-0.064986) | 0.507487 / 0.434364 (0.073123) | 0.566883 / 0.540337 (0.026545) | 0.811074 / 1.386936 (-0.575862) |

</details>
</details>

![](https://cml.dev/watermark.png#5fb01295bff860f09a4c466e745f3840f851efdc "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) | 0.008400 / 0.011353 (-0.002953) | 0.004872 / 0.011008 (-0.006136) | 0.104434 / 0.038508 (0.065926) | 0.074411 / 0.023109 (0.051302) | 0.395970 / 0.275898 (0.120072) | 0.431661 / 0.323480 (0.108181) | 0.005365 / 0.007986 (-0.002621) | 0.005495 / 0.004328 (0.001167) | 0.081255 / 0.004250 (0.077004) | 0.057141 / 0.037052 (0.020089) | 0.397242 / 0.258489 (0.138753) | 0.456052 / 0.293841 (0.162211) | 0.048362 / 0.128546 (-0.080184) | 0.014077 / 0.075646 (-0.061569) | 0.351128 / 0.419271 (-0.068143) | 0.067842 / 0.043533 (0.024309) | 0.372820 / 0.255139 (0.117681) | 0.407917 / 0.283200 (0.124717) | 0.037707 / 0.141683 (-0.103976) | 1.677136 / 1.452155 (0.224981) | 1.764614 / 1.492716 (0.271897) |

### 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) | 0.269850 / 0.018006 (0.251844) | 0.601458 / 0.000490 (0.600969) | 0.006500 / 0.000200 (0.006300) | 0.000107 / 0.000054 (0.000053) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.030340 / 0.037411 (-0.007072) | 0.098041 / 0.014526 (0.083515) | 0.107270 / 0.176557 (-0.069287) | 0.173502 / 0.737135 (-0.563633) | 0.113296 / 0.296338 (-0.183043) |

### 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) | 0.575788 / 0.215209 (0.360579) | 5.723878 / 2.077655 (3.646223) | 2.326339 / 1.504120 (0.822219) | 2.130667 / 1.541195 (0.589472) | 2.080885 / 1.468490 (0.612395) | 0.800936 / 4.584777 (-3.783841) | 5.227888 / 3.745712 (1.482176) | 4.592647 / 5.269862 (-0.677214) | 2.935765 / 4.565676 (-1.629911) | 0.095909 / 0.424275 (-0.328367) | 0.008763 / 0.007607 (0.001156) | 0.697362 / 0.226044 (0.471318) | 6.968105 / 2.268929 (4.699176) | 3.129070 / 55.444624 (-52.315554) | 2.554818 / 6.876477 (-4.321658) | 2.776005 / 2.142072 (0.633933) | 1.017064 / 4.805227 (-3.788163) | 0.211552 / 6.500664 (-6.289112) | 0.072132 / 0.075469 (-0.003338) |

### 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) | 1.517072 / 1.841788 (-0.324716) | 23.737742 / 8.074308 (15.663433) | 22.236447 / 10.191392 (12.045055) | 0.235408 / 0.680424 (-0.445016) | 0.031889 / 0.534201 (-0.502312) | 0.458997 / 0.579283 (-0.120286) | 0.610513 / 0.434364 (0.176149) | 0.536508 / 0.540337 (-0.003830) | 0.750137 / 1.386936 (-0.636799) |

</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) | 0.008696 / 0.011353 (-0.002657) | 0.005374 / 0.011008 (-0.005634) | 0.077974 / 0.038508 (0.039466) | 0.083471 / 0.023109 (0.060362) | 0.498890 / 0.275898 (0.222992) | 0.517570 / 0.323480 (0.194090) | 0.006523 / 0.007986 (-0.001462) | 0.004315 / 0.004328 (-0.000013) | 0.082262 / 0.004250 (0.078012) | 0.064828 / 0.037052 (0.027776) | 0.473101 / 0.258489 (0.214612) | 0.534172 / 0.293841 (0.240331) | 0.051884 / 0.128546 (-0.076662) | 0.015191 / 0.075646 (-0.060455) | 0.084307 / 0.419271 (-0.334965) | 0.066050 / 0.043533 (0.022517) | 0.518007 / 0.255139 (0.262868) | 0.511145 / 0.283200 (0.227946) | 0.045302 / 0.141683 (-0.096381) | 1.670973 / 1.452155 (0.218818) | 1.829225 / 1.492716 (0.336509) |

### 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) | 0.436537 / 0.018006 (0.418531) | 0.608380 / 0.000490 (0.607890) | 0.075211 / 0.000200 (0.075011) | 0.000733 / 0.000054 (0.000679) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.039117 / 0.037411 (0.001706) | 0.103525 / 0.014526 (0.088999) | 0.124413 / 0.176557 (-0.052144) | 0.192352 / 0.737135 (-0.544783) | 0.120379 / 0.296338 (-0.175959) |

### 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) | 0.673338 / 0.215209 (0.458129) | 6.799435 / 2.077655 (4.721780) | 3.600913 / 1.504120 (2.096793) | 2.881008 / 1.541195 (1.339814) | 2.667154 / 1.468490 (1.198664) | 0.868775 / 4.584777 (-3.716002) | 5.517063 / 3.745712 (1.771351) | 4.646706 / 5.269862 (-0.623156) | 2.914825 / 4.565676 (-1.650852) | 0.098784 / 0.424275 (-0.325491) | 0.011504 / 0.007607 (0.003897) | 0.724233 / 0.226044 (0.498188) | 7.311045 / 2.268929 (5.042117) | 3.685490 / 55.444624 (-51.759135) | 2.892360 / 6.876477 (-3.984117) | 3.253189 / 2.142072 (1.111117) | 0.983065 / 4.805227 (-3.822162) | 0.201097 / 6.500664 (-6.299567) | 0.068020 / 0.075469 (-0.007450) |

### 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) | 1.793904 / 1.841788 (-0.047884) | 24.451356 / 8.074308 (16.377048) | 21.697191 / 10.191392 (11.505799) | 0.228545 / 0.680424 (-0.451879) | 0.034600 / 0.534201 (-0.499601) | 0.483253 / 0.579283 (-0.096030) | 0.615103 / 0.434364 (0.180739) | 0.564600 / 0.540337 (0.024262) | 0.799688 / 1.386936 (-0.587248) |

</details>
</details>

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