Fix archive fs test
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5614). All of your documentation changes will be reflected on that endpoint. <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) | 0.008664 / 0.011353 (-0.002689) | 0.004622 / 0.011008 (-0.006387) | 0.101716 / 0.038508 (0.063208) | 0.030044 / 0.023109 (0.006935) | 0.298476 / 0.275898 (0.022578) | 0.360873 / 0.323480 (0.037393) | 0.007012 / 0.007986 (-0.000974) | 0.003409 / 0.004328 (-0.000919) | 0.077731 / 0.004250 (0.073480) | 0.035493 / 0.037052 (-0.001560) | 0.311474 / 0.258489 (0.052985) | 0.357276 / 0.293841 (0.063435) | 0.033909 / 0.128546 (-0.094638) | 0.011315 / 0.075646 (-0.064332) | 0.323149 / 0.419271 (-0.096122) | 0.040678 / 0.043533 (-0.002855) | 0.298487 / 0.255139 (0.043348) | 0.323107 / 0.283200 (0.039907) | 0.086641 / 0.141683 (-0.055042) | 1.452905 / 1.452155 (0.000750) | 1.510953 / 1.492716 (0.018237) |

### 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) | 0.190607 / 0.018006 (0.172601) | 0.409786 / 0.000490 (0.409297) | 0.000818 / 0.000200 (0.000618) | 0.000075 / 0.000054 (0.000020) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.023267 / 0.037411 (-0.014144) | 0.095390 / 0.014526 (0.080864) | 0.104381 / 0.176557 (-0.072175) | 0.150735 / 0.737135 (-0.586401) | 0.106876 / 0.296338 (-0.189462) |

### 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) | 0.434259 / 0.215209 (0.219050) | 4.326978 / 2.077655 (2.249323) | 2.036690 / 1.504120 (0.532570) | 1.836459 / 1.541195 (0.295264) | 1.904003 / 1.468490 (0.435513) | 0.697265 / 4.584777 (-3.887512) | 3.435911 / 3.745712 (-0.309802) | 3.240918 / 5.269862 (-2.028944) | 1.629220 / 4.565676 (-2.936456) | 0.083158 / 0.424275 (-0.341117) | 0.012604 / 0.007607 (0.004997) | 0.539818 / 0.226044 (0.313773) | 5.397860 / 2.268929 (3.128932) | 2.483890 / 55.444624 (-52.960735) | 2.132404 / 6.876477 (-4.744072) | 2.162583 / 2.142072 (0.020510) | 0.817773 / 4.805227 (-3.987454) | 0.151677 / 6.500664 (-6.348987) | 0.066569 / 0.075469 (-0.008900) |

### 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) | 1.243449 / 1.841788 (-0.598339) | 13.699854 / 8.074308 (5.625546) | 13.930979 / 10.191392 (3.739587) | 0.165344 / 0.680424 (-0.515079) | 0.028910 / 0.534201 (-0.505291) | 0.396201 / 0.579283 (-0.183082) | 0.404448 / 0.434364 (-0.029916) | 0.482031 / 0.540337 (-0.058306) | 0.570023 / 1.386936 (-0.816913) |

</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) | 0.006785 / 0.011353 (-0.004568) | 0.004643 / 0.011008 (-0.006365) | 0.076755 / 0.038508 (0.038247) | 0.027893 / 0.023109 (0.004783) | 0.342539 / 0.275898 (0.066641) | 0.379103 / 0.323480 (0.055623) | 0.005107 / 0.007986 (-0.002879) | 0.003413 / 0.004328 (-0.000915) | 0.075779 / 0.004250 (0.071528) | 0.039251 / 0.037052 (0.002199) | 0.343425 / 0.258489 (0.084935) | 0.385292 / 0.293841 (0.091451) | 0.032229 / 0.128546 (-0.096317) | 0.011666 / 0.075646 (-0.063980) | 0.086452 / 0.419271 (-0.332819) | 0.042918 / 0.043533 (-0.000615) | 0.343145 / 0.255139 (0.088006) | 0.367916 / 0.283200 (0.084717) | 0.090810 / 0.141683 (-0.050873) | 1.471679 / 1.452155 (0.019524) | 1.566683 / 1.492716 (0.073966) |

### 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) | 0.220343 / 0.018006 (0.202336) | 0.396155 / 0.000490 (0.395665) | 0.003831 / 0.000200 (0.003631) | 0.000080 / 0.000054 (0.000025) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.024990 / 0.037411 (-0.012421) | 0.101270 / 0.014526 (0.086744) | 0.110115 / 0.176557 (-0.066442) | 0.161770 / 0.737135 (-0.575365) | 0.112187 / 0.296338 (-0.184151) |

### 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) | 0.436199 / 0.215209 (0.220989) | 4.329084 / 2.077655 (2.251429) | 2.043335 / 1.504120 (0.539215) | 1.836799 / 1.541195 (0.295604) | 1.908362 / 1.468490 (0.439872) | 0.700518 / 4.584777 (-3.884259) | 3.418003 / 3.745712 (-0.327710) | 1.860621 / 5.269862 (-3.409241) | 1.171343 / 4.565676 (-3.394334) | 0.083150 / 0.424275 (-0.341125) | 0.012543 / 0.007607 (0.004936) | 0.533528 / 0.226044 (0.307483) | 5.339660 / 2.268929 (3.070732) | 2.499494 / 55.444624 (-52.945131) | 2.154773 / 6.876477 (-4.721704) | 2.198734 / 2.142072 (0.056661) | 0.803383 / 4.805227 (-4.001844) | 0.150980 / 6.500664 (-6.349684) | 0.068050 / 0.075469 (-0.007419) |

### 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) | 1.309487 / 1.841788 (-0.532301) | 14.177068 / 8.074308 (6.102760) | 13.218912 / 10.191392 (3.027520) | 0.156857 / 0.680424 (-0.523567) | 0.016534 / 0.534201 (-0.517667) | 0.383986 / 0.579283 (-0.195297) | 0.395264 / 0.434364 (-0.039100) | 0.442310 / 0.540337 (-0.098027) | 0.535535 / 1.386936 (-0.851401) |

</details>
</details>

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