Add missing `revision` argument
State: closed

I've noticed that when you're not working on the main branch, there are sometimes errors in the files returned. After some investigation, I realized that the revision was not properly passed  everywhere. This PR proposes a fix.

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

I have found the same issue. Good fix. Should be merged as soon as possible.

<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) | 0.006258 / 0.011353 (-0.005095) | 0.003717 / 0.011008 (-0.007291) | 0.079444 / 0.038508 (0.040936) | 0.066318 / 0.023109 (0.043209) | 0.310129 / 0.275898 (0.034231) | 0.346948 / 0.323480 (0.023469) | 0.003505 / 0.007986 (-0.004480) | 0.002855 / 0.004328 (-0.001474) | 0.062447 / 0.004250 (0.058197) | 0.050191 / 0.037052 (0.013139) | 0.314550 / 0.258489 (0.056061) | 0.357883 / 0.293841 (0.064042) | 0.027754 / 0.128546 (-0.100792) | 0.008068 / 0.075646 (-0.067578) | 0.262170 / 0.419271 (-0.157102) | 0.045834 / 0.043533 (0.002301) | 0.306938 / 0.255139 (0.051799) | 0.339229 / 0.283200 (0.056030) | 0.021188 / 0.141683 (-0.120495) | 1.430904 / 1.452155 (-0.021251) | 1.542038 / 1.492716 (0.049321) |

### 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) | 0.201232 / 0.018006 (0.183226) | 0.432848 / 0.000490 (0.432358) | 0.002403 / 0.000200 (0.002203) | 0.000070 / 0.000054 (0.000015) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.024068 / 0.037411 (-0.013344) | 0.074077 / 0.014526 (0.059551) | 0.083578 / 0.176557 (-0.092978) | 0.144497 / 0.737135 (-0.592638) | 0.085386 / 0.296338 (-0.210952) |

### 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) | 0.397912 / 0.215209 (0.182702) | 3.940953 / 2.077655 (1.863299) | 1.935914 / 1.504120 (0.431794) | 1.753688 / 1.541195 (0.212493) | 1.832916 / 1.468490 (0.364426) | 0.503320 / 4.584777 (-4.081457) | 3.068693 / 3.745712 (-0.677019) | 2.867543 / 5.269862 (-2.402318) | 1.876265 / 4.565676 (-2.689412) | 0.057234 / 0.424275 (-0.367041) | 0.006753 / 0.007607 (-0.000854) | 0.468456 / 0.226044 (0.242411) | 4.681671 / 2.268929 (2.412742) | 2.445141 / 55.444624 (-52.999483) | 2.182366 / 6.876477 (-4.694110) | 2.399365 / 2.142072 (0.257293) | 0.591880 / 4.805227 (-4.213347) | 0.126176 / 6.500664 (-6.374488) | 0.061488 / 0.075469 (-0.013982) |

### 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) | 1.244013 / 1.841788 (-0.597775) | 18.534720 / 8.074308 (10.460412) | 13.853267 / 10.191392 (3.661875) | 0.154167 / 0.680424 (-0.526257) | 0.016685 / 0.534201 (-0.517515) | 0.331044 / 0.579283 (-0.248239) | 0.341399 / 0.434364 (-0.092965) | 0.378878 / 0.540337 (-0.161459) | 0.535707 / 1.386936 (-0.851230) |

</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) | 0.006284 / 0.011353 (-0.005069) | 0.003707 / 0.011008 (-0.007301) | 0.062481 / 0.038508 (0.023973) | 0.063342 / 0.023109 (0.040233) | 0.445465 / 0.275898 (0.169567) | 0.482021 / 0.323480 (0.158541) | 0.004909 / 0.007986 (-0.003076) | 0.002908 / 0.004328 (-0.001420) | 0.063111 / 0.004250 (0.058860) | 0.050197 / 0.037052 (0.013145) | 0.453367 / 0.258489 (0.194878) | 0.485249 / 0.293841 (0.191408) | 0.028532 / 0.128546 (-0.100014) | 0.008157 / 0.075646 (-0.067490) | 0.068033 / 0.419271 (-0.351238) | 0.041093 / 0.043533 (-0.002440) | 0.446555 / 0.255139 (0.191416) | 0.469103 / 0.283200 (0.185904) | 0.019529 / 0.141683 (-0.122154) | 1.503135 / 1.452155 (0.050980) | 1.545819 / 1.492716 (0.053103) |

### 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) | 0.257274 / 0.018006 (0.239268) | 0.418643 / 0.000490 (0.418153) | 0.011604 / 0.000200 (0.011405) | 0.000094 / 0.000054 (0.000040) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.026286 / 0.037411 (-0.011125) | 0.082459 / 0.014526 (0.067933) | 0.090007 / 0.176557 (-0.086550) | 0.144963 / 0.737135 (-0.592173) | 0.093236 / 0.296338 (-0.203102) |

### 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) | 0.456331 / 0.215209 (0.241122) | 4.559469 / 2.077655 (2.481814) | 2.503452 / 1.504120 (0.999333) | 2.326579 / 1.541195 (0.785384) | 2.387551 / 1.468490 (0.919061) | 0.508683 / 4.584777 (-4.076094) | 3.071293 / 3.745712 (-0.674419) | 2.872820 / 5.269862 (-2.397041) | 1.891674 / 4.565676 (-2.674003) | 0.058951 / 0.424275 (-0.365324) | 0.006493 / 0.007607 (-0.001114) | 0.526747 / 0.226044 (0.300703) | 5.279985 / 2.268929 (3.011057) | 2.986146 / 55.444624 (-52.458478) | 2.603462 / 6.876477 (-4.273015) | 2.766776 / 2.142072 (0.624704) | 0.594685 / 4.805227 (-4.210542) | 0.125174 / 6.500664 (-6.375490) | 0.061430 / 0.075469 (-0.014039) |

### 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) | 1.350012 / 1.841788 (-0.491776) | 18.991941 / 8.074308 (10.917633) | 14.903483 / 10.191392 (4.712091) | 0.145918 / 0.680424 (-0.534506) | 0.017766 / 0.534201 (-0.516435) | 0.335350 / 0.579283 (-0.243933) | 0.357936 / 0.434364 (-0.076428) | 0.392355 / 0.540337 (-0.147983) | 0.545787 / 1.386936 (-0.841149) |

</details>
</details>

![](https://cml.dev/watermark.png#439e115d34a2d8737af719660c1b586ac32279dc "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) | 0.005927 / 0.011353 (-0.005426) | 0.003497 / 0.011008 (-0.007512) | 0.079802 / 0.038508 (0.041294) | 0.058994 / 0.023109 (0.035885) | 0.309349 / 0.275898 (0.033451) | 0.344876 / 0.323480 (0.021396) | 0.004631 / 0.007986 (-0.003354) | 0.002814 / 0.004328 (-0.001515) | 0.062228 / 0.004250 (0.057978) | 0.046001 / 0.037052 (0.008949) | 0.312196 / 0.258489 (0.053707) | 0.356283 / 0.293841 (0.062442) | 0.027264 / 0.128546 (-0.101282) | 0.007992 / 0.075646 (-0.067654) | 0.260746 / 0.419271 (-0.158526) | 0.045112 / 0.043533 (0.001579) | 0.310463 / 0.255139 (0.055324) | 0.336456 / 0.283200 (0.053256) | 0.020364 / 0.141683 (-0.121319) | 1.482159 / 1.452155 (0.030005) | 1.541586 / 1.492716 (0.048870) |

### 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) | 0.185035 / 0.018006 (0.167028) | 0.432104 / 0.000490 (0.431615) | 0.002911 / 0.000200 (0.002711) | 0.000070 / 0.000054 (0.000016) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.023674 / 0.037411 (-0.013737) | 0.072462 / 0.014526 (0.057936) | 0.080154 / 0.176557 (-0.096402) | 0.143022 / 0.737135 (-0.594114) | 0.082909 / 0.296338 (-0.213430) |

### 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) | 0.436977 / 0.215209 (0.221768) | 4.359633 / 2.077655 (2.281979) | 2.321479 / 1.504120 (0.817359) | 2.115277 / 1.541195 (0.574082) | 2.172303 / 1.468490 (0.703813) | 0.495735 / 4.584777 (-4.089042) | 3.006773 / 3.745712 (-0.738939) | 2.866560 / 5.269862 (-2.403302) | 1.839339 / 4.565676 (-2.726337) | 0.056925 / 0.424275 (-0.367350) | 0.006777 / 0.007607 (-0.000830) | 0.507217 / 0.226044 (0.281172) | 5.064933 / 2.268929 (2.796004) | 2.737542 / 55.444624 (-52.707082) | 2.386227 / 6.876477 (-4.490250) | 2.566375 / 2.142072 (0.424302) | 0.582965 / 4.805227 (-4.222262) | 0.124715 / 6.500664 (-6.375949) | 0.061560 / 0.075469 (-0.013909) |

### 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) | 1.295684 / 1.841788 (-0.546103) | 18.178345 / 8.074308 (10.104037) | 13.795886 / 10.191392 (3.604494) | 0.131464 / 0.680424 (-0.548960) | 0.016808 / 0.534201 (-0.517393) | 0.334190 / 0.579283 (-0.245093) | 0.347358 / 0.434364 (-0.087006) | 0.386198 / 0.540337 (-0.154139) | 0.527807 / 1.386936 (-0.859129) |

</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) | 0.006118 / 0.011353 (-0.005235) | 0.003634 / 0.011008 (-0.007374) | 0.062117 / 0.038508 (0.023609) | 0.061407 / 0.023109 (0.038298) | 0.448047 / 0.275898 (0.172149) | 0.483382 / 0.323480 (0.159902) | 0.004849 / 0.007986 (-0.003137) | 0.002859 / 0.004328 (-0.001469) | 0.061714 / 0.004250 (0.057463) | 0.047959 / 0.037052 (0.010907) | 0.452038 / 0.258489 (0.193549) | 0.485206 / 0.293841 (0.191365) | 0.028254 / 0.128546 (-0.100292) | 0.008055 / 0.075646 (-0.067591) | 0.067752 / 0.419271 (-0.351519) | 0.040355 / 0.043533 (-0.003178) | 0.446986 / 0.255139 (0.191847) | 0.472554 / 0.283200 (0.189354) | 0.019461 / 0.141683 (-0.122222) | 1.459048 / 1.452155 (0.006893) | 1.497283 / 1.492716 (0.004566) |

### 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) | 0.241788 / 0.018006 (0.223782) | 0.457352 / 0.000490 (0.456862) | 0.003841 / 0.000200 (0.003641) | 0.000081 / 0.000054 (0.000027) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.026429 / 0.037411 (-0.010982) | 0.081604 / 0.014526 (0.067078) | 0.092881 / 0.176557 (-0.083675) | 0.146057 / 0.737135 (-0.591078) | 0.092987 / 0.296338 (-0.203352) |

### 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) | 0.456641 / 0.215209 (0.241432) | 4.567853 / 2.077655 (2.490198) | 2.491684 / 1.504120 (0.987564) | 2.323647 / 1.541195 (0.782452) | 2.387689 / 1.468490 (0.919198) | 0.505114 / 4.584777 (-4.079663) | 3.071615 / 3.745712 (-0.674098) | 2.912391 / 5.269862 (-2.357471) | 1.922350 / 4.565676 (-2.643326) | 0.057785 / 0.424275 (-0.366490) | 0.006642 / 0.007607 (-0.000965) | 0.532463 / 0.226044 (0.306418) | 5.344084 / 2.268929 (3.075155) | 2.970182 / 55.444624 (-52.474442) | 2.601733 / 6.876477 (-4.274744) | 2.763803 / 2.142072 (0.621731) | 0.596333 / 4.805227 (-4.208894) | 0.127047 / 6.500664 (-6.373617) | 0.062516 / 0.075469 (-0.012953) |

### 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) | 1.343206 / 1.841788 (-0.498581) | 19.405215 / 8.074308 (11.330907) | 15.406568 / 10.191392 (5.215176) | 0.132328 / 0.680424 (-0.548096) | 0.017882 / 0.534201 (-0.516318) | 0.336393 / 0.579283 (-0.242890) | 0.361989 / 0.434364 (-0.072375) | 0.394336 / 0.540337 (-0.146001) | 0.545166 / 1.386936 (-0.841770) |

</details>
</details>

![](https://cml.dev/watermark.png#439e115d34a2d8737af719660c1b586ac32279dc "CML watermark")