Title: Pass through information about location of cache directory.
State: closed

If cache directory is set, information is not passed through.
Pass download config in as an arg too.

Comments:
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6677). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.

<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) | 0.007162 / 0.011353 (-0.004191) | 0.004125 / 0.011008 (-0.006883) | 0.064011 / 0.038508 (0.025503) | 0.031795 / 0.023109 (0.008686) | 0.248761 / 0.275898 (-0.027137) | 0.275130 / 0.323480 (-0.048350) | 0.003138 / 0.007986 (-0.004847) | 0.002736 / 0.004328 (-0.001592) | 0.050515 / 0.004250 (0.046264) | 0.044787 / 0.037052 (0.007735) | 0.261997 / 0.258489 (0.003507) | 0.292170 / 0.293841 (-0.001671) | 0.028122 / 0.128546 (-0.100424) | 0.010780 / 0.075646 (-0.064866) | 0.208805 / 0.419271 (-0.210467) | 0.036362 / 0.043533 (-0.007171) | 0.251599 / 0.255139 (-0.003540) | 0.271200 / 0.283200 (-0.012000) | 0.020215 / 0.141683 (-0.121468) | 1.133352 / 1.452155 (-0.318803) | 1.185240 / 1.492716 (-0.307477) |

### 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) | 0.089990 / 0.018006 (0.071984) | 0.298099 / 0.000490 (0.297609) | 0.000221 / 0.000200 (0.000021) | 0.000055 / 0.000054 (0.000001) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.018432 / 0.037411 (-0.018980) | 0.062641 / 0.014526 (0.048115) | 0.075210 / 0.176557 (-0.101346) | 0.122239 / 0.737135 (-0.614897) | 0.078914 / 0.296338 (-0.217424) |

### 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) | 0.287682 / 0.215209 (0.072473) | 2.815030 / 2.077655 (0.737375) | 1.499512 / 1.504120 (-0.004607) | 1.370210 / 1.541195 (-0.170985) | 1.381944 / 1.468490 (-0.086546) | 0.571645 / 4.584777 (-4.013132) | 2.377773 / 3.745712 (-1.367939) | 2.757206 / 5.269862 (-2.512655) | 1.717159 / 4.565676 (-2.848518) | 0.063038 / 0.424275 (-0.361237) | 0.004913 / 0.007607 (-0.002694) | 0.340854 / 0.226044 (0.114810) | 3.348087 / 2.268929 (1.079159) | 1.843123 / 55.444624 (-53.601502) | 1.569714 / 6.876477 (-5.306763) | 1.593791 / 2.142072 (-0.548281) | 0.642865 / 4.805227 (-4.162362) | 0.116933 / 6.500664 (-6.383731) | 0.041891 / 0.075469 (-0.033578) |

### 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) | 0.976453 / 1.841788 (-0.865334) | 12.229986 / 8.074308 (4.155678) | 9.617912 / 10.191392 (-0.573480) | 0.141292 / 0.680424 (-0.539132) | 0.013732 / 0.534201 (-0.520469) | 0.291424 / 0.579283 (-0.287859) | 0.264748 / 0.434364 (-0.169616) | 0.345262 / 0.540337 (-0.195075) | 0.445126 / 1.386936 (-0.941810) |

</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) | 0.005286 / 0.011353 (-0.006067) | 0.003749 / 0.011008 (-0.007259) | 0.049070 / 0.038508 (0.010562) | 0.031779 / 0.023109 (0.008670) | 0.275636 / 0.275898 (-0.000262) | 0.296956 / 0.323480 (-0.026524) | 0.004278 / 0.007986 (-0.003708) | 0.002702 / 0.004328 (-0.001626) | 0.049658 / 0.004250 (0.045408) | 0.046025 / 0.037052 (0.008973) | 0.293238 / 0.258489 (0.034749) | 0.316676 / 0.293841 (0.022835) | 0.029277 / 0.128546 (-0.099269) | 0.010096 / 0.075646 (-0.065550) | 0.059861 / 0.419271 (-0.359411) | 0.054310 / 0.043533 (0.010778) | 0.275025 / 0.255139 (0.019886) | 0.292995 / 0.283200 (0.009796) | 0.018448 / 0.141683 (-0.123235) | 1.150805 / 1.452155 (-0.301350) | 1.178310 / 1.492716 (-0.314406) |

### 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) | 0.092644 / 0.018006 (0.074638) | 0.297979 / 0.000490 (0.297489) | 0.000207 / 0.000200 (0.000007) | 0.000042 / 0.000054 (-0.000012) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.021758 / 0.037411 (-0.015654) | 0.076734 / 0.014526 (0.062208) | 0.088522 / 0.176557 (-0.088034) | 0.126190 / 0.737135 (-0.610945) | 0.090466 / 0.296338 (-0.205873) |

### 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) | 0.305355 / 0.215209 (0.090146) | 2.978927 / 2.077655 (0.901272) | 1.612312 / 1.504120 (0.108192) | 1.485829 / 1.541195 (-0.055366) | 1.513303 / 1.468490 (0.044813) | 0.592368 / 4.584777 (-3.992409) | 2.448529 / 3.745712 (-1.297183) | 2.713460 / 5.269862 (-2.556402) | 1.803859 / 4.565676 (-2.761817) | 0.065630 / 0.424275 (-0.358645) | 0.005072 / 0.007607 (-0.002535) | 0.358340 / 0.226044 (0.132295) | 3.528516 / 2.268929 (1.259588) | 1.977901 / 55.444624 (-53.466723) | 1.692526 / 6.876477 (-5.183950) | 1.858405 / 2.142072 (-0.283668) | 0.676169 / 4.805227 (-4.129059) | 0.121136 / 6.500664 (-6.379528) | 0.041384 / 0.075469 (-0.034085) |

### 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) | 1.011801 / 1.841788 (-0.829987) | 12.496459 / 8.074308 (4.422151) | 10.465659 / 10.191392 (0.274267) | 0.154121 / 0.680424 (-0.526302) | 0.016796 / 0.534201 (-0.517405) | 0.288908 / 0.579283 (-0.290376) | 0.274328 / 0.434364 (-0.160036) | 0.322366 / 0.540337 (-0.217971) | 0.423498 / 1.386936 (-0.963438) |

</details>
</details>

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