Issue: Update hub-docs reference
State: closed
Author: mishig25

Follow up to huggingface/huggingface.js#296

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) | 0.005119 / 0.011353 (-0.006234) | 0.003469 / 0.011008 (-0.007540) | 0.061791 / 0.038508 (0.023283) | 0.051655 / 0.023109 (0.028545) | 0.241157 / 0.275898 (-0.034741) | 0.265930 / 0.323480 (-0.057549) | 0.003851 / 0.007986 (-0.004134) | 0.002412 / 0.004328 (-0.001916) | 0.047498 / 0.004250 (0.043247) | 0.037328 / 0.037052 (0.000276) | 0.250418 / 0.258489 (-0.008071) | 0.277842 / 0.293841 (-0.015999) | 0.027626 / 0.128546 (-0.100920) | 0.009947 / 0.075646 (-0.065699) | 0.204549 / 0.419271 (-0.214722) | 0.037546 / 0.043533 (-0.005987) | 0.245383 / 0.255139 (-0.009756) | 0.263486 / 0.283200 (-0.019713) | 0.017792 / 0.141683 (-0.123891) | 1.158900 / 1.452155 (-0.293255) | 1.194060 / 1.492716 (-0.298657) |

### 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) | 0.090607 / 0.018006 (0.072601) | 0.299909 / 0.000490 (0.299419) | 0.000206 / 0.000200 (0.000006) | 0.000042 / 0.000054 (-0.000013) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.018814 / 0.037411 (-0.018597) | 0.062068 / 0.014526 (0.047542) | 0.087221 / 0.176557 (-0.089336) | 0.119594 / 0.737135 (-0.617541) | 0.075485 / 0.296338 (-0.220853) |

### 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) | 0.286093 / 0.215209 (0.070884) | 2.767396 / 2.077655 (0.689741) | 1.500472 / 1.504120 (-0.003648) | 1.389514 / 1.541195 (-0.151680) | 1.438933 / 1.468490 (-0.029557) | 0.562545 / 4.584777 (-4.022232) | 2.383330 / 3.745712 (-1.362382) | 2.799215 / 5.269862 (-2.470647) | 1.732618 / 4.565676 (-2.833058) | 0.061282 / 0.424275 (-0.362993) | 0.005007 / 0.007607 (-0.002601) | 0.339769 / 0.226044 (0.113725) | 3.337146 / 2.268929 (1.068218) | 1.890789 / 55.444624 (-53.553836) | 1.593555 / 6.876477 (-5.282922) | 1.660016 / 2.142072 (-0.482057) | 0.632452 / 4.805227 (-4.172775) | 0.115503 / 6.500664 (-6.385161) | 0.041590 / 0.075469 (-0.033880) |

### 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) | 0.941966 / 1.841788 (-0.899822) | 11.470271 / 8.074308 (3.395963) | 10.579454 / 10.191392 (0.388062) | 0.140970 / 0.680424 (-0.539454) | 0.014057 / 0.534201 (-0.520144) | 0.289326 / 0.579283 (-0.289957) | 0.265366 / 0.434364 (-0.168998) | 0.324612 / 0.540337 (-0.215726) | 0.415832 / 1.386936 (-0.971104) |

</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) | 0.005208 / 0.011353 (-0.006145) | 0.003199 / 0.011008 (-0.007809) | 0.048299 / 0.038508 (0.009791) | 0.050727 / 0.023109 (0.027618) | 0.274897 / 0.275898 (-0.001001) | 0.298328 / 0.323480 (-0.025152) | 0.003989 / 0.007986 (-0.003997) | 0.002439 / 0.004328 (-0.001890) | 0.047308 / 0.004250 (0.043058) | 0.039726 / 0.037052 (0.002673) | 0.276279 / 0.258489 (0.017790) | 0.303679 / 0.293841 (0.009838) | 0.028943 / 0.128546 (-0.099603) | 0.010223 / 0.075646 (-0.065423) | 0.056694 / 0.419271 (-0.362577) | 0.032283 / 0.043533 (-0.011250) | 0.275344 / 0.255139 (0.020205) | 0.296358 / 0.283200 (0.013158) | 0.017481 / 0.141683 (-0.124201) | 1.131063 / 1.452155 (-0.321092) | 1.181146 / 1.492716 (-0.311570) |

### 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) | 0.092259 / 0.018006 (0.074253) | 0.299381 / 0.000490 (0.298891) | 0.000216 / 0.000200 (0.000016) | 0.000050 / 0.000054 (-0.000004) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.021693 / 0.037411 (-0.015718) | 0.070441 / 0.014526 (0.055916) | 0.080648 / 0.176557 (-0.095908) | 0.119002 / 0.737135 (-0.618133) | 0.081412 / 0.296338 (-0.214926) |

### 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) | 0.296475 / 0.215209 (0.081266) | 2.905098 / 2.077655 (0.827443) | 1.596321 / 1.504120 (0.092201) | 1.472640 / 1.541195 (-0.068555) | 1.484453 / 1.468490 (0.015963) | 0.565229 / 4.584777 (-4.019548) | 2.390631 / 3.745712 (-1.355081) | 2.765125 / 5.269862 (-2.504737) | 1.738993 / 4.565676 (-2.826683) | 0.063034 / 0.424275 (-0.361241) | 0.004891 / 0.007607 (-0.002716) | 0.350678 / 0.226044 (0.124633) | 3.530919 / 2.268929 (1.261990) | 1.943758 / 55.444624 (-53.500867) | 1.665553 / 6.876477 (-5.210924) | 1.656990 / 2.142072 (-0.485083) | 0.647027 / 4.805227 (-4.158201) | 0.116771 / 6.500664 (-6.383893) | 0.041012 / 0.075469 (-0.034457) |

### 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) | 1.034226 / 1.841788 (-0.807561) | 12.036726 / 8.074308 (3.962418) | 10.934239 / 10.191392 (0.742847) | 0.130142 / 0.680424 (-0.550281) | 0.015537 / 0.534201 (-0.518664) | 0.286020 / 0.579283 (-0.293263) | 0.276739 / 0.434364 (-0.157625) | 0.326284 / 0.540337 (-0.214054) | 0.413392 / 1.386936 (-0.973544) |

</details>
</details>

![](https://cml.dev/watermark.png#4787c0022c8b59c15256021478b444a6c51fa984 "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) | 0.005400 / 0.011353 (-0.005953) | 0.003415 / 0.011008 (-0.007593) | 0.062416 / 0.038508 (0.023908) | 0.055962 / 0.023109 (0.032853) | 0.234725 / 0.275898 (-0.041173) | 0.261775 / 0.323480 (-0.061705) | 0.002868 / 0.007986 (-0.005118) | 0.002426 / 0.004328 (-0.001902) | 0.047989 / 0.004250 (0.043738) | 0.039214 / 0.037052 (0.002162) | 0.246068 / 0.258489 (-0.012421) | 0.270245 / 0.293841 (-0.023596) | 0.027558 / 0.128546 (-0.100988) | 0.010256 / 0.075646 (-0.065390) | 0.210988 / 0.419271 (-0.208283) | 0.035684 / 0.043533 (-0.007849) | 0.245254 / 0.255139 (-0.009885) | 0.255476 / 0.283200 (-0.027724) | 0.018495 / 0.141683 (-0.123188) | 1.115458 / 1.452155 (-0.336697) | 1.166149 / 1.492716 (-0.326567) |

### 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) | 0.092736 / 0.018006 (0.074730) | 0.301040 / 0.000490 (0.300550) | 0.000213 / 0.000200 (0.000013) | 0.000053 / 0.000054 (-0.000002) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.018607 / 0.037411 (-0.018805) | 0.062189 / 0.014526 (0.047664) | 0.073782 / 0.176557 (-0.102775) | 0.119895 / 0.737135 (-0.617240) | 0.074907 / 0.296338 (-0.221431) |

### 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) | 0.283986 / 0.215209 (0.068777) | 2.824498 / 2.077655 (0.746844) | 1.505848 / 1.504120 (0.001728) | 1.358879 / 1.541195 (-0.182316) | 1.357087 / 1.468490 (-0.111403) | 0.574307 / 4.584777 (-4.010470) | 2.416478 / 3.745712 (-1.329234) | 2.772909 / 5.269862 (-2.496953) | 1.750395 / 4.565676 (-2.815282) | 0.062465 / 0.424275 (-0.361810) | 0.004983 / 0.007607 (-0.002624) | 0.344490 / 0.226044 (0.118445) | 3.405062 / 2.268929 (1.136134) | 1.854972 / 55.444624 (-53.589653) | 1.572789 / 6.876477 (-5.303687) | 1.586109 / 2.142072 (-0.555963) | 0.647431 / 4.805227 (-4.157797) | 0.123079 / 6.500664 (-6.377585) | 0.042766 / 0.075469 (-0.032703) |

### 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) | 0.950493 / 1.841788 (-0.891295) | 11.814821 / 8.074308 (3.740513) | 10.494768 / 10.191392 (0.303376) | 0.131322 / 0.680424 (-0.549102) | 0.015253 / 0.534201 (-0.518948) | 0.287405 / 0.579283 (-0.291878) | 0.269664 / 0.434364 (-0.164699) | 0.322700 / 0.540337 (-0.217637) | 0.424103 / 1.386936 (-0.962833) |

</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) | 0.005264 / 0.011353 (-0.006088) | 0.003304 / 0.011008 (-0.007704) | 0.048531 / 0.038508 (0.010023) | 0.052752 / 0.023109 (0.029643) | 0.274435 / 0.275898 (-0.001463) | 0.297500 / 0.323480 (-0.025980) | 0.003977 / 0.007986 (-0.004009) | 0.002444 / 0.004328 (-0.001884) | 0.048464 / 0.004250 (0.044214) | 0.040192 / 0.037052 (0.003139) | 0.278256 / 0.258489 (0.019767) | 0.303627 / 0.293841 (0.009786) | 0.028709 / 0.128546 (-0.099837) | 0.010530 / 0.075646 (-0.065117) | 0.057427 / 0.419271 (-0.361844) | 0.032539 / 0.043533 (-0.010994) | 0.272237 / 0.255139 (0.017098) | 0.295288 / 0.283200 (0.012088) | 0.018820 / 0.141683 (-0.122862) | 1.116100 / 1.452155 (-0.336055) | 1.180124 / 1.492716 (-0.312592) |

### 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) | 0.092651 / 0.018006 (0.074644) | 0.301481 / 0.000490 (0.300991) | 0.000217 / 0.000200 (0.000017) | 0.000053 / 0.000054 (-0.000001) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.022461 / 0.037411 (-0.014951) | 0.070623 / 0.014526 (0.056097) | 0.082642 / 0.176557 (-0.093915) | 0.120021 / 0.737135 (-0.617114) | 0.083387 / 0.296338 (-0.212952) |

### 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) | 0.291451 / 0.215209 (0.076242) | 2.865602 / 2.077655 (0.787947) | 1.592051 / 1.504120 (0.087931) | 1.463521 / 1.541195 (-0.077673) | 1.498899 / 1.468490 (0.030409) | 0.570854 / 4.584777 (-4.013923) | 2.410002 / 3.745712 (-1.335710) | 2.768028 / 5.269862 (-2.501834) | 1.740463 / 4.565676 (-2.825214) | 0.063801 / 0.424275 (-0.360474) | 0.005019 / 0.007607 (-0.002588) | 0.348353 / 0.226044 (0.122309) | 3.425793 / 2.268929 (1.156864) | 1.957294 / 55.444624 (-53.487331) | 1.696121 / 6.876477 (-5.180355) | 1.691544 / 2.142072 (-0.450528) | 0.645528 / 4.805227 (-4.159700) | 0.118876 / 6.500664 (-6.381788) | 0.041001 / 0.075469 (-0.034469) |

### 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) | 0.983805 / 1.841788 (-0.857983) | 12.085909 / 8.074308 (4.011600) | 10.835395 / 10.191392 (0.644003) | 0.141971 / 0.680424 (-0.538453) | 0.015534 / 0.534201 (-0.518667) | 0.289289 / 0.579283 (-0.289994) | 0.276316 / 0.434364 (-0.158048) | 0.354577 / 0.540337 (-0.185761) | 0.421824 / 1.386936 (-0.965112) |

</details>
</details>

![](https://cml.dev/watermark.png#27d1fe52857c6a25a29cac63a296405136b2797c "CML watermark")