Update requests >=2.32.1 to fix vulnerability
State: closed | Author: albertvillanova (MEMBER)

Update requests >=2.32.1 to fix vulnerability.

Comments: The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6909). 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) | 0.005375 / 0.011353 (-0.005978) | 0.004005 / 0.011008 (-0.007003) | 0.062407 / 0.038508 (0.023899) | 0.032241 / 0.023109 (0.009131) | 0.256092 / 0.275898 (-0.019806) | 0.285740 / 0.323480 (-0.037740) | 0.004146 / 0.007986 (-0.003839) | 0.002831 / 0.004328 (-0.001497) | 0.049179 / 0.004250 (0.044928) | 0.048303 / 0.037052 (0.011251) | 0.270841 / 0.258489 (0.012352) | 0.303209 / 0.293841 (0.009368) | 0.027642 / 0.128546 (-0.100905) | 0.010661 / 0.075646 (-0.064985) | 0.201999 / 0.419271 (-0.217272) | 0.036532 / 0.043533 (-0.007001) | 0.262441 / 0.255139 (0.007302) | 0.280944 / 0.283200 (-0.002256) | 0.018369 / 0.141683 (-0.123314) | 1.122249 / 1.452155 (-0.329906) | 1.171352 / 1.492716 (-0.321364) |

### 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) | 0.096433 / 0.018006 (0.078427) | 0.297272 / 0.000490 (0.296782) | 0.000222 / 0.000200 (0.000023) | 0.000043 / 0.000054 (-0.000011) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.019645 / 0.037411 (-0.017766) | 0.062744 / 0.014526 (0.048219) | 0.076096 / 0.176557 (-0.100460) | 0.121882 / 0.737135 (-0.615253) | 0.076267 / 0.296338 (-0.220072) |

### 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) | 0.274159 / 0.215209 (0.058950) | 2.729371 / 2.077655 (0.651716) | 1.454328 / 1.504120 (-0.049792) | 1.330517 / 1.541195 (-0.210678) | 1.338832 / 1.468490 (-0.129658) | 0.600252 / 4.584777 (-3.984525) | 2.388658 / 3.745712 (-1.357054) | 2.837717 / 5.269862 (-2.432145) | 1.747329 / 4.565676 (-2.818347) | 0.064620 / 0.424275 (-0.359655) | 0.004955 / 0.007607 (-0.002653) | 0.340253 / 0.226044 (0.114209) | 3.351559 / 2.268929 (1.082630) | 1.822718 / 55.444624 (-53.621907) | 1.518663 / 6.876477 (-5.357814) | 1.548066 / 2.142072 (-0.594006) | 0.663525 / 4.805227 (-4.141702) | 0.118334 / 6.500664 (-6.382331) | 0.042060 / 0.075469 (-0.033410) |

### 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) | 0.976509 / 1.841788 (-0.865278) | 11.703321 / 8.074308 (3.629013) | 9.305605 / 10.191392 (-0.885787) | 0.131016 / 0.680424 (-0.549408) | 0.014299 / 0.534201 (-0.519902) | 0.293963 / 0.579283 (-0.285320) | 0.264018 / 0.434364 (-0.170345) | 0.330265 / 0.540337 (-0.210073) | 0.427239 / 1.386936 (-0.959697) |

</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) | 0.005437 / 0.011353 (-0.005916) | 0.003774 / 0.011008 (-0.007234) | 0.049927 / 0.038508 (0.011419) | 0.032246 / 0.023109 (0.009137) | 0.271808 / 0.275898 (-0.004090) | 0.295652 / 0.323480 (-0.027828) | 0.004220 / 0.007986 (-0.003766) | 0.002803 / 0.004328 (-0.001525) | 0.049656 / 0.004250 (0.045406) | 0.041938 / 0.037052 (0.004885) | 0.282199 / 0.258489 (0.023710) | 0.310206 / 0.293841 (0.016365) | 0.030389 / 0.128546 (-0.098157) | 0.010593 / 0.075646 (-0.065054) | 0.057862 / 0.419271 (-0.361409) | 0.033937 / 0.043533 (-0.009596) | 0.268920 / 0.255139 (0.013781) | 0.286000 / 0.283200 (0.002800) | 0.018766 / 0.141683 (-0.122917) | 1.118556 / 1.452155 (-0.333599) | 1.175083 / 1.492716 (-0.317633) |

### 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) | 0.095135 / 0.018006 (0.077129) | 0.304735 / 0.000490 (0.304245) | 0.000210 / 0.000200 (0.000010) | 0.000054 / 0.000054 (-0.000000) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.022971 / 0.037411 (-0.014441) | 0.076204 / 0.014526 (0.061678) | 0.090801 / 0.176557 (-0.085756) | 0.130149 / 0.737135 (-0.606987) | 0.090986 / 0.296338 (-0.205352) |

### 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) | 0.298535 / 0.215209 (0.083326) | 2.882959 / 2.077655 (0.805304) | 1.574018 / 1.504120 (0.069899) | 1.445251 / 1.541195 (-0.095944) | 1.483651 / 1.468490 (0.015160) | 0.572012 / 4.584777 (-4.012765) | 0.972223 / 3.745712 (-2.773489) | 2.745776 / 5.269862 (-2.524085) | 1.783980 / 4.565676 (-2.781697) | 0.063910 / 0.424275 (-0.360365) | 0.005397 / 0.007607 (-0.002210) | 0.349104 / 0.226044 (0.123059) | 3.433303 / 2.268929 (1.164374) | 1.961506 / 55.444624 (-53.483119) | 1.665905 / 6.876477 (-5.210571) | 1.800977 / 2.142072 (-0.341095) | 0.655843 / 4.805227 (-4.149384) | 0.118320 / 6.500664 (-6.382345) | 0.041748 / 0.075469 (-0.033722) |

### 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) | 1.006835 / 1.841788 (-0.834952) | 12.506123 / 8.074308 (4.431815) | 10.564310 / 10.191392 (0.372918) | 0.143121 / 0.680424 (-0.537303) | 0.016340 / 0.534201 (-0.517861) | 0.284181 / 0.579283 (-0.295102) | 0.125975 / 0.434364 (-0.308389) | 0.324369 / 0.540337 (-0.215969) | 0.443713 / 1.386936 (-0.943223) |

</details>
</details>

![](https://cml.dev/watermark.png#60d21efbc01e15d0b596ac1072750cbecd91548a "CML watermark")