Add  `huggingface_hub` version to env cli command
State: closed

Add the `huggingface_hub` version to the `env` command's output.

_The documentation is not available anymore as the PR was closed or merged._

<details>
<summary>Show benchmarks</summary>

PyArrow==6.0.0

<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) | 0.008124 / 0.011353 (-0.003229) | 0.004594 / 0.011008 (-0.006414) | 0.101575 / 0.038508 (0.063066) | 0.029074 / 0.023109 (0.005965) | 0.314641 / 0.275898 (0.038743) | 0.372006 / 0.323480 (0.048526) | 0.006882 / 0.007986 (-0.001103) | 0.003371 / 0.004328 (-0.000958) | 0.078800 / 0.004250 (0.074550) | 0.034030 / 0.037052 (-0.003023) | 0.326917 / 0.258489 (0.068428) | 0.357628 / 0.293841 (0.063788) | 0.033076 / 0.128546 (-0.095470) | 0.011552 / 0.075646 (-0.064094) | 0.321715 / 0.419271 (-0.097557) | 0.040426 / 0.043533 (-0.003107) | 0.315091 / 0.255139 (0.059952) | 0.339291 / 0.283200 (0.056091) | 0.087280 / 0.141683 (-0.054403) | 1.443445 / 1.452155 (-0.008710) | 1.489233 / 1.492716 (-0.003483) |

### 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) | 0.182643 / 0.018006 (0.164637) | 0.390205 / 0.000490 (0.389716) | 0.001361 / 0.000200 (0.001161) | 0.000072 / 0.000054 (0.000018) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.022767 / 0.037411 (-0.014644) | 0.095744 / 0.014526 (0.081219) | 0.102763 / 0.176557 (-0.073794) | 0.166760 / 0.737135 (-0.570375) | 0.106393 / 0.296338 (-0.189945) |

### 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) | 0.424649 / 0.215209 (0.209440) | 4.257982 / 2.077655 (2.180327) | 2.135847 / 1.504120 (0.631727) | 1.924810 / 1.541195 (0.383615) | 1.813797 / 1.468490 (0.345307) | 0.695467 / 4.584777 (-3.889310) | 3.330164 / 3.745712 (-0.415548) | 2.665606 / 5.269862 (-2.604255) | 1.458619 / 4.565676 (-3.107058) | 0.082408 / 0.424275 (-0.341867) | 0.012259 / 0.007607 (0.004652) | 0.527737 / 0.226044 (0.301693) | 5.271119 / 2.268929 (3.002191) | 2.618655 / 55.444624 (-52.825970) | 2.312321 / 6.876477 (-4.564155) | 2.270096 / 2.142072 (0.128023) | 0.811563 / 4.805227 (-3.993664) | 0.148512 / 6.500664 (-6.352152) | 0.064562 / 0.075469 (-0.010907) |

### 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) | 1.212483 / 1.841788 (-0.629304) | 13.471679 / 8.074308 (5.397371) | 13.691054 / 10.191392 (3.499662) | 0.137399 / 0.680424 (-0.543025) | 0.028489 / 0.534201 (-0.505711) | 0.398879 / 0.579283 (-0.180404) | 0.396712 / 0.434364 (-0.037652) | 0.458879 / 0.540337 (-0.081458) | 0.537143 / 1.386936 (-0.849793) |

</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) | 0.006911 / 0.011353 (-0.004442) | 0.004941 / 0.011008 (-0.006067) | 0.078606 / 0.038508 (0.040098) | 0.028411 / 0.023109 (0.005302) | 0.352172 / 0.275898 (0.076274) | 0.401155 / 0.323480 (0.077675) | 0.005433 / 0.007986 (-0.002552) | 0.003704 / 0.004328 (-0.000625) | 0.076615 / 0.004250 (0.072365) | 0.043814 / 0.037052 (0.006761) | 0.346928 / 0.258489 (0.088439) | 0.405587 / 0.293841 (0.111746) | 0.032176 / 0.128546 (-0.096370) | 0.011863 / 0.075646 (-0.063783) | 0.087209 / 0.419271 (-0.332063) | 0.042977 / 0.043533 (-0.000556) | 0.345366 / 0.255139 (0.090227) | 0.419664 / 0.283200 (0.136464) | 0.093862 / 0.141683 (-0.047821) | 1.490968 / 1.452155 (0.038813) | 1.566644 / 1.492716 (0.073927) |

### 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) | 0.216703 / 0.018006 (0.198697) | 0.472411 / 0.000490 (0.471921) | 0.002234 / 0.000200 (0.002034) | 0.000085 / 0.000054 (0.000031) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.027672 / 0.037411 (-0.009740) | 0.109793 / 0.014526 (0.095267) | 0.110720 / 0.176557 (-0.065837) | 0.182342 / 0.737135 (-0.554793) | 0.116150 / 0.296338 (-0.180188) |

### 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) | 0.438165 / 0.215209 (0.222956) | 4.366213 / 2.077655 (2.288558) | 2.065036 / 1.504120 (0.560917) | 1.860105 / 1.541195 (0.318911) | 1.966885 / 1.468490 (0.498395) | 0.705194 / 4.584777 (-3.879583) | 3.389408 / 3.745712 (-0.356304) | 2.632155 / 5.269862 (-2.637707) | 1.471090 / 4.565676 (-3.094587) | 0.083579 / 0.424275 (-0.340697) | 0.012643 / 0.007607 (0.005036) | 0.542230 / 0.226044 (0.316186) | 5.416293 / 2.268929 (3.147365) | 2.517391 / 55.444624 (-52.927233) | 2.160159 / 6.876477 (-4.716317) | 2.167104 / 2.142072 (0.025031) | 0.807142 / 4.805227 (-3.998085) | 0.152249 / 6.500664 (-6.348415) | 0.067559 / 0.075469 (-0.007910) |

### 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) | 1.399516 / 1.841788 (-0.442272) | 15.289898 / 8.074308 (7.215590) | 14.188758 / 10.191392 (3.997366) | 0.161277 / 0.680424 (-0.519147) | 0.016854 / 0.534201 (-0.517347) | 0.382091 / 0.579283 (-0.197192) | 0.396639 / 0.434364 (-0.037725) | 0.467932 / 0.540337 (-0.072405) | 0.552017 / 1.386936 (-0.834919) |

</details>
</details>

![](https://cml.dev/watermark.png#2e050273ec3d2a7e53d817544318b23fb51430d0 "CML watermark")


<details>
<summary>Show benchmarks</summary>

PyArrow==6.0.0

<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) | 0.011038 / 0.011353 (-0.000315) | 0.005878 / 0.011008 (-0.005130) | 0.118247 / 0.038508 (0.079739) | 0.043988 / 0.023109 (0.020879) | 0.350823 / 0.275898 (0.074925) | 0.430350 / 0.323480 (0.106870) | 0.009259 / 0.007986 (0.001274) | 0.004614 / 0.004328 (0.000286) | 0.089366 / 0.004250 (0.085116) | 0.049993 / 0.037052 (0.012941) | 0.367620 / 0.258489 (0.109131) | 0.404809 / 0.293841 (0.110968) | 0.044078 / 0.128546 (-0.084468) | 0.014226 / 0.075646 (-0.061421) | 0.397707 / 0.419271 (-0.021565) | 0.056631 / 0.043533 (0.013098) | 0.355942 / 0.255139 (0.100803) | 0.375537 / 0.283200 (0.092338) | 0.121956 / 0.141683 (-0.019727) | 1.757958 / 1.452155 (0.305803) | 1.822183 / 1.492716 (0.329466) |

### 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) | 0.024505 / 0.018006 (0.006499) | 0.488754 / 0.000490 (0.488265) | 0.011032 / 0.000200 (0.010832) | 0.000540 / 0.000054 (0.000486) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.032895 / 0.037411 (-0.004516) | 0.132496 / 0.014526 (0.117970) | 0.140620 / 0.176557 (-0.035937) | 0.220628 / 0.737135 (-0.516507) | 0.147622 / 0.296338 (-0.148717) |

### 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) | 0.471335 / 0.215209 (0.256126) | 4.699792 / 2.077655 (2.622137) | 2.119782 / 1.504120 (0.615662) | 1.894784 / 1.541195 (0.353590) | 2.002694 / 1.468490 (0.534204) | 0.822610 / 4.584777 (-3.762167) | 4.511510 / 3.745712 (0.765797) | 2.467017 / 5.269862 (-2.802845) | 1.568500 / 4.565676 (-2.997177) | 0.101488 / 0.424275 (-0.322787) | 0.014567 / 0.007607 (0.006960) | 0.603033 / 0.226044 (0.376989) | 6.041397 / 2.268929 (3.772468) | 2.759140 / 55.444624 (-52.685484) | 2.397192 / 6.876477 (-4.479285) | 2.491986 / 2.142072 (0.349914) | 1.021198 / 4.805227 (-3.784029) | 0.196415 / 6.500664 (-6.304249) | 0.076409 / 0.075469 (0.000939) |

### 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) | 1.406816 / 1.841788 (-0.434972) | 17.740263 / 8.074308 (9.665954) | 16.926489 / 10.191392 (6.735097) | 0.235302 / 0.680424 (-0.445122) | 0.036829 / 0.534201 (-0.497372) | 0.525326 / 0.579283 (-0.053957) | 0.530905 / 0.434364 (0.096541) | 0.650357 / 0.540337 (0.110019) | 0.770641 / 1.386936 (-0.616295) |

</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) | 0.008728 / 0.011353 (-0.002625) | 0.006023 / 0.011008 (-0.004985) | 0.088694 / 0.038508 (0.050186) | 0.040345 / 0.023109 (0.017236) | 0.408126 / 0.275898 (0.132228) | 0.461178 / 0.323480 (0.137698) | 0.007456 / 0.007986 (-0.000529) | 0.004722 / 0.004328 (0.000394) | 0.087340 / 0.004250 (0.083090) | 0.055826 / 0.037052 (0.018774) | 0.422432 / 0.258489 (0.163942) | 0.466308 / 0.293841 (0.172467) | 0.043637 / 0.128546 (-0.084909) | 0.014602 / 0.075646 (-0.061044) | 0.103610 / 0.419271 (-0.315662) | 0.069999 / 0.043533 (0.026466) | 0.410676 / 0.255139 (0.155537) | 0.434551 / 0.283200 (0.151351) | 0.127699 / 0.141683 (-0.013984) | 1.699858 / 1.452155 (0.247703) | 1.830331 / 1.492716 (0.337615) |

### 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) | 0.235217 / 0.018006 (0.217211) | 0.494814 / 0.000490 (0.494325) | 0.004942 / 0.000200 (0.004742) | 0.000099 / 0.000054 (0.000045) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.035996 / 0.037411 (-0.001416) | 0.139419 / 0.014526 (0.124893) | 0.146859 / 0.176557 (-0.029698) | 0.234793 / 0.737135 (-0.502343) | 0.152495 / 0.296338 (-0.143843) |

### 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) | 0.509812 / 0.215209 (0.294603) | 5.067227 / 2.077655 (2.989572) | 2.455505 / 1.504120 (0.951385) | 2.223516 / 1.541195 (0.682321) | 2.367783 / 1.468490 (0.899293) | 0.852550 / 4.584777 (-3.732227) | 4.517284 / 3.745712 (0.771572) | 4.860399 / 5.269862 (-0.409462) | 2.175290 / 4.565676 (-2.390386) | 0.106155 / 0.424275 (-0.318120) | 0.015023 / 0.007607 (0.007416) | 0.633753 / 0.226044 (0.407708) | 6.316214 / 2.268929 (4.047285) | 3.021118 / 55.444624 (-52.423506) | 2.601317 / 6.876477 (-4.275160) | 2.807988 / 2.142072 (0.665916) | 1.028695 / 4.805227 (-3.776532) | 0.204387 / 6.500664 (-6.296277) | 0.077368 / 0.075469 (0.001899) |

### 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) | 1.540299 / 1.841788 (-0.301489) | 18.311957 / 8.074308 (10.237649) | 16.139892 / 10.191392 (5.948500) | 0.217231 / 0.680424 (-0.463193) | 0.020544 / 0.534201 (-0.513657) | 0.505589 / 0.579283 (-0.073694) | 0.506694 / 0.434364 (0.072330) | 0.622162 / 0.540337 (0.081824) | 0.739537 / 1.386936 (-0.647399) |

</details>
</details>

![](https://cml.dev/watermark.png#0f595fc2aa4786720f7a21da56069a1c46b4552a "CML watermark")


<details>
<summary>Show benchmarks</summary>

PyArrow==6.0.0

<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) | 0.009465 / 0.011353 (-0.001887) | 0.005307 / 0.011008 (-0.005701) | 0.104111 / 0.038508 (0.065603) | 0.036083 / 0.023109 (0.012974) | 0.296608 / 0.275898 (0.020710) | 0.351365 / 0.323480 (0.027885) | 0.008309 / 0.007986 (0.000323) | 0.004383 / 0.004328 (0.000055) | 0.078297 / 0.004250 (0.074047) | 0.044062 / 0.037052 (0.007009) | 0.295592 / 0.258489 (0.037103) | 0.354442 / 0.293841 (0.060602) | 0.038651 / 0.128546 (-0.089896) | 0.012311 / 0.075646 (-0.063335) | 0.337933 / 0.419271 (-0.081338) | 0.048179 / 0.043533 (0.004646) | 0.308320 / 0.255139 (0.053181) | 0.335028 / 0.283200 (0.051829) | 0.105394 / 0.141683 (-0.036289) | 1.444104 / 1.452155 (-0.008050) | 1.573953 / 1.492716 (0.081237) |

### 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) | 0.236548 / 0.018006 (0.218542) | 0.552862 / 0.000490 (0.552372) | 0.003925 / 0.000200 (0.003726) | 0.000107 / 0.000054 (0.000053) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.026386 / 0.037411 (-0.011025) | 0.108002 / 0.014526 (0.093476) | 0.118327 / 0.176557 (-0.058230) | 0.182861 / 0.737135 (-0.554274) | 0.126032 / 0.296338 (-0.170307) |

### 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) | 0.397037 / 0.215209 (0.181827) | 3.960978 / 2.077655 (1.883323) | 1.771955 / 1.504120 (0.267835) | 1.575033 / 1.541195 (0.033839) | 1.696552 / 1.468490 (0.228062) | 0.679013 / 4.584777 (-3.905764) | 3.770136 / 3.745712 (0.024424) | 2.068323 / 5.269862 (-3.201539) | 1.310823 / 4.565676 (-3.254853) | 0.083752 / 0.424275 (-0.340523) | 0.012366 / 0.007607 (0.004759) | 0.512679 / 0.226044 (0.286635) | 5.127036 / 2.268929 (2.858108) | 2.313200 / 55.444624 (-53.131424) | 1.931007 / 6.876477 (-4.945470) | 2.018336 / 2.142072 (-0.123737) | 0.833033 / 4.805227 (-3.972194) | 0.163778 / 6.500664 (-6.336886) | 0.064053 / 0.075469 (-0.011417) |

### 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) | 1.234102 / 1.841788 (-0.607685) | 15.227921 / 8.074308 (7.153613) | 14.587146 / 10.191392 (4.395754) | 0.176236 / 0.680424 (-0.504187) | 0.028905 / 0.534201 (-0.505295) | 0.439758 / 0.579283 (-0.139525) | 0.439211 / 0.434364 (0.004848) | 0.544325 / 0.540337 (0.003988) | 0.633804 / 1.386936 (-0.753132) |

</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) | 0.007933 / 0.011353 (-0.003420) | 0.005446 / 0.011008 (-0.005563) | 0.077846 / 0.038508 (0.039338) | 0.036017 / 0.023109 (0.012907) | 0.358925 / 0.275898 (0.083027) | 0.402757 / 0.323480 (0.079277) | 0.006478 / 0.007986 (-0.001508) | 0.005708 / 0.004328 (0.001380) | 0.074833 / 0.004250 (0.070583) | 0.053412 / 0.037052 (0.016360) | 0.358587 / 0.258489 (0.100098) | 0.430904 / 0.293841 (0.137063) | 0.037778 / 0.128546 (-0.090768) | 0.012698 / 0.075646 (-0.062948) | 0.087615 / 0.419271 (-0.331657) | 0.050236 / 0.043533 (0.006703) | 0.344160 / 0.255139 (0.089021) | 0.390870 / 0.283200 (0.107670) | 0.111035 / 0.141683 (-0.030648) | 1.446963 / 1.452155 (-0.005192) | 1.566158 / 1.492716 (0.073442) |

### 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) | 0.302380 / 0.018006 (0.284373) | 0.554005 / 0.000490 (0.553515) | 0.007244 / 0.000200 (0.007044) | 0.000115 / 0.000054 (0.000061) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.032291 / 0.037411 (-0.005120) | 0.117117 / 0.014526 (0.102591) | 0.127513 / 0.176557 (-0.049044) | 0.204208 / 0.737135 (-0.532927) | 0.133730 / 0.296338 (-0.162608) |

### 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) | 0.424597 / 0.215209 (0.209388) | 4.233852 / 2.077655 (2.156198) | 2.029731 / 1.504120 (0.525611) | 1.830075 / 1.541195 (0.288880) | 1.966198 / 1.468490 (0.497707) | 0.697881 / 4.584777 (-3.886896) | 3.758012 / 3.745712 (0.012299) | 3.405319 / 5.269862 (-1.864542) | 1.870816 / 4.565676 (-2.694860) | 0.086892 / 0.424275 (-0.337383) | 0.012438 / 0.007607 (0.004831) | 0.524252 / 0.226044 (0.298207) | 5.209534 / 2.268929 (2.940606) | 2.478608 / 55.444624 (-52.966017) | 2.151535 / 6.876477 (-4.724942) | 2.249260 / 2.142072 (0.107187) | 0.831955 / 4.805227 (-3.973273) | 0.165955 / 6.500664 (-6.334710) | 0.064663 / 0.075469 (-0.010806) |

### 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) | 1.253327 / 1.841788 (-0.588460) | 15.904393 / 8.074308 (7.830085) | 13.253464 / 10.191392 (3.062072) | 0.162148 / 0.680424 (-0.518276) | 0.017643 / 0.534201 (-0.516558) | 0.425028 / 0.579283 (-0.154255) | 0.425615 / 0.434364 (-0.008749) | 0.521503 / 0.540337 (-0.018835) | 0.629473 / 1.386936 (-0.757463) |

</details>
</details>

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