Adding Oracle Cloud to docs
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2023-03-09T17:22:10Z
https://github.com/huggingface/datasets/pull/5621#issuecomment-1462453995
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<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) | 0.006183 / 0.011353 (-0.005170) | 0.004377 / 0.011008 (-0.006631) | 0.096898 / 0.038508 (0.058390) | 0.027729 / 0.023109 (0.004620) | 0.336582 / 0.275898 (0.060684) | 0.353792 / 0.323480 (0.030312) | 0.004541 / 0.007986 (-0.003445) | 0.004349 / 0.004328 (0.000020) | 0.074403 / 0.004250 (0.070153) | 0.033918 / 0.037052 (-0.003134) | 0.341505 / 0.258489 (0.083016) | 0.380192 / 0.293841 (0.086351) | 0.031703 / 0.128546 (-0.096843) | 0.011561 / 0.075646 (-0.064086) | 0.321848 / 0.419271 (-0.097423) | 0.043407 / 0.043533 (-0.000126) | 0.330365 / 0.255139 (0.075226) | 0.364630 / 0.283200 (0.081430) | 0.084798 / 0.141683 (-0.056885) | 1.450908 / 1.452155 (-0.001246) | 1.522235 / 1.492716 (0.029519) |

### 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) | 0.198267 / 0.018006 (0.180261) | 0.409554 / 0.000490 (0.409065) | 0.002501 / 0.000200 (0.002301) | 0.000270 / 0.000054 (0.000215) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.021801 / 0.037411 (-0.015610) | 0.097429 / 0.014526 (0.082904) | 0.103259 / 0.176557 (-0.073298) | 0.161483 / 0.737135 (-0.575652) | 0.107843 / 0.296338 (-0.188496) |

### 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) | 0.427057 / 0.215209 (0.211848) | 4.259477 / 2.077655 (2.181823) | 1.945819 / 1.504120 (0.441699) | 1.733013 / 1.541195 (0.191819) | 1.748486 / 1.468490 (0.279996) | 0.702231 / 4.584777 (-3.882546) | 3.387608 / 3.745712 (-0.358104) | 1.890187 / 5.269862 (-3.379675) | 1.300465 / 4.565676 (-3.265211) | 0.083702 / 0.424275 (-0.340573) | 0.012674 / 0.007607 (0.005067) | 0.527978 / 0.226044 (0.301934) | 5.259610 / 2.268929 (2.990681) | 2.366512 / 55.444624 (-53.078113) | 2.013811 / 6.876477 (-4.862666) | 2.058175 / 2.142072 (-0.083898) | 0.815042 / 4.805227 (-3.990185) | 0.153496 / 6.500664 (-6.347168) | 0.065442 / 0.075469 (-0.010027) |

### 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) | 1.227494 / 1.841788 (-0.614294) | 13.812921 / 8.074308 (5.738613) | 14.430149 / 10.191392 (4.238757) | 0.145422 / 0.680424 (-0.535002) | 0.016672 / 0.534201 (-0.517529) | 0.382126 / 0.579283 (-0.197157) | 0.388369 / 0.434364 (-0.045995) | 0.446133 / 0.540337 (-0.094204) | 0.531044 / 1.386936 (-0.855892) |

</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) | 0.006273 / 0.011353 (-0.005080) | 0.004557 / 0.011008 (-0.006452) | 0.077398 / 0.038508 (0.038890) | 0.027295 / 0.023109 (0.004185) | 0.340866 / 0.275898 (0.064968) | 0.373918 / 0.323480 (0.050438) | 0.004967 / 0.007986 (-0.003018) | 0.003337 / 0.004328 (-0.000991) | 0.076041 / 0.004250 (0.071791) | 0.036708 / 0.037052 (-0.000344) | 0.346126 / 0.258489 (0.087637) | 0.385177 / 0.293841 (0.091336) | 0.032272 / 0.128546 (-0.096275) | 0.011756 / 0.075646 (-0.063890) | 0.086512 / 0.419271 (-0.332759) | 0.049310 / 0.043533 (0.005777) | 0.339352 / 0.255139 (0.084213) | 0.372058 / 0.283200 (0.088859) | 0.089712 / 0.141683 (-0.051971) | 1.501964 / 1.452155 (0.049809) | 1.573753 / 1.492716 (0.081037) |

### 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) | 0.162075 / 0.018006 (0.144069) | 0.391462 / 0.000490 (0.390973) | 0.002868 / 0.000200 (0.002668) | 0.000077 / 0.000054 (0.000023) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.024176 / 0.037411 (-0.013235) | 0.099631 / 0.014526 (0.085105) | 0.107544 / 0.176557 (-0.069013) | 0.157659 / 0.737135 (-0.579477) | 0.111130 / 0.296338 (-0.185209) |

### 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) | 0.442086 / 0.215209 (0.226877) | 4.426311 / 2.077655 (2.348657) | 2.086133 / 1.504120 (0.582013) | 1.860415 / 1.541195 (0.319220) | 1.892306 / 1.468490 (0.423816) | 0.702752 / 4.584777 (-3.882025) | 3.394358 / 3.745712 (-0.351354) | 1.857396 / 5.269862 (-3.412466) | 1.167168 / 4.565676 (-3.398509) | 0.083549 / 0.424275 (-0.340726) | 0.012780 / 0.007607 (0.005173) | 0.547075 / 0.226044 (0.321031) | 5.466619 / 2.268929 (3.197691) | 2.548893 / 55.444624 (-52.895731) | 2.185574 / 6.876477 (-4.690903) | 2.188000 / 2.142072 (0.045928) | 0.810370 / 4.805227 (-3.994857) | 0.153320 / 6.500664 (-6.347344) | 0.068409 / 0.075469 (-0.007060) |

### 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) | 1.330431 / 1.841788 (-0.511356) | 14.178916 / 8.074308 (6.104608) | 14.409594 / 10.191392 (4.218202) | 0.156270 / 0.680424 (-0.524154) | 0.016452 / 0.534201 (-0.517749) | 0.379837 / 0.579283 (-0.199447) | 0.389896 / 0.434364 (-0.044468) | 0.443892 / 0.540337 (-0.096446) | 0.531392 / 1.386936 (-0.855544) |

</details>
</details>

![](https://cml.dev/watermark.png#e502117cafd92fd9c25d1d6dd047cc650c691629 "CML watermark")

2023-03-11T00:57:17Z
https://github.com/huggingface/datasets/pull/5621#issuecomment-1464732462
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Adding Oracle Cloud's fsspec implementation to the list of supported cloud storage providers.