Title: Release: 2.17.1
Author: albertvillanova (MEMBER)
State: closed
Created: 2024-02-19T09:24:29Z


Comments:
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6678). 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) | 0.005070 / 0.011353 (-0.006283) | 0.003685 / 0.011008 (-0.007323) | 0.063191 / 0.038508 (0.024683) | 0.030506 / 0.023109 (0.007397) | 0.258033 / 0.275898 (-0.017865) | 0.269790 / 0.323480 (-0.053690) | 0.004180 / 0.007986 (-0.003805) | 0.002811 / 0.004328 (-0.001517) | 0.048718 / 0.004250 (0.044467) | 0.043473 / 0.037052 (0.006421) | 0.267306 / 0.258489 (0.008817) | 0.290315 / 0.293841 (-0.003526) | 0.027402 / 0.128546 (-0.101144) | 0.010782 / 0.075646 (-0.064864) | 0.207243 / 0.419271 (-0.212029) | 0.035637 / 0.043533 (-0.007896) | 0.264032 / 0.255139 (0.008893) | 0.270450 / 0.283200 (-0.012749) | 0.017407 / 0.141683 (-0.124276) | 1.107481 / 1.452155 (-0.344674) | 1.163187 / 1.492716 (-0.329529) |

### 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) | 0.095065 / 0.018006 (0.077059) | 0.305169 / 0.000490 (0.304680) | 0.000221 / 0.000200 (0.000021) | 0.000045 / 0.000054 (-0.000009) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.017706 / 0.037411 (-0.019706) | 0.061431 / 0.014526 (0.046905) | 0.073541 / 0.176557 (-0.103016) | 0.117326 / 0.737135 (-0.619809) | 0.074368 / 0.296338 (-0.221971) |

### 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) | 0.284533 / 0.215209 (0.069324) | 2.775230 / 2.077655 (0.697575) | 1.455196 / 1.504120 (-0.048924) | 1.357651 / 1.541195 (-0.183544) | 1.337477 / 1.468490 (-0.131013) | 0.567439 / 4.584777 (-4.017338) | 2.380612 / 3.745712 (-1.365100) | 2.792305 / 5.269862 (-2.477556) | 1.726501 / 4.565676 (-2.839176) | 0.061729 / 0.424275 (-0.362546) | 0.004928 / 0.007607 (-0.002679) | 0.331989 / 0.226044 (0.105944) | 3.301704 / 2.268929 (1.032776) | 1.805107 / 55.444624 (-53.639518) | 1.500434 / 6.876477 (-5.376043) | 1.535548 / 2.142072 (-0.606524) | 0.639490 / 4.805227 (-4.165737) | 0.115876 / 6.500664 (-6.384788) | 0.041895 / 0.075469 (-0.033574) |

### 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) | 0.993584 / 1.841788 (-0.848203) | 11.596680 / 8.074308 (3.522371) | 9.631726 / 10.191392 (-0.559666) | 0.141153 / 0.680424 (-0.539271) | 0.014077 / 0.534201 (-0.520124) | 0.288237 / 0.579283 (-0.291046) | 0.261213 / 0.434364 (-0.173151) | 0.323897 / 0.540337 (-0.216441) | 0.420350 / 1.386936 (-0.966586) |

</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) | 0.005275 / 0.011353 (-0.006078) | 0.003739 / 0.011008 (-0.007269) | 0.049801 / 0.038508 (0.011293) | 0.030544 / 0.023109 (0.007435) | 0.264835 / 0.275898 (-0.011063) | 0.297738 / 0.323480 (-0.025742) | 0.004487 / 0.007986 (-0.003499) | 0.002835 / 0.004328 (-0.001493) | 0.048091 / 0.004250 (0.043841) | 0.044375 / 0.037052 (0.007322) | 0.286538 / 0.258489 (0.028049) | 0.319561 / 0.293841 (0.025720) | 0.047925 / 0.128546 (-0.080621) | 0.010816 / 0.075646 (-0.064831) | 0.057940 / 0.419271 (-0.361331) | 0.033588 / 0.043533 (-0.009945) | 0.270075 / 0.255139 (0.014936) | 0.290441 / 0.283200 (0.007242) | 0.017173 / 0.141683 (-0.124509) | 1.164686 / 1.452155 (-0.287469) | 1.213205 / 1.492716 (-0.279511) |

### 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) | 0.093408 / 0.018006 (0.075402) | 0.305525 / 0.000490 (0.305036) | 0.000235 / 0.000200 (0.000035) | 0.000045 / 0.000054 (-0.000010) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.021605 / 0.037411 (-0.015806) | 0.075479 / 0.014526 (0.060953) | 0.085990 / 0.176557 (-0.090567) | 0.124783 / 0.737135 (-0.612352) | 0.089108 / 0.296338 (-0.207230) |

### 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) | 0.306222 / 0.215209 (0.091013) | 2.987282 / 2.077655 (0.909627) | 1.664714 / 1.504120 (0.160594) | 1.523136 / 1.541195 (-0.018059) | 1.534112 / 1.468490 (0.065622) | 0.566347 / 4.584777 (-4.018430) | 2.438641 / 3.745712 (-1.307071) | 2.669048 / 5.269862 (-2.600814) | 1.732935 / 4.565676 (-2.832741) | 0.063460 / 0.424275 (-0.360815) | 0.004973 / 0.007607 (-0.002634) | 0.366233 / 0.226044 (0.140189) | 3.553578 / 2.268929 (1.284649) | 1.984343 / 55.444624 (-53.460281) | 1.711038 / 6.876477 (-5.165439) | 1.857346 / 2.142072 (-0.284726) | 0.651077 / 4.805227 (-4.154150) | 0.118670 / 6.500664 (-6.381994) | 0.041839 / 0.075469 (-0.033631) |

### 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) | 1.008230 / 1.841788 (-0.833558) | 12.047403 / 8.074308 (3.973095) | 10.039053 / 10.191392 (-0.152339) | 0.141640 / 0.680424 (-0.538784) | 0.014758 / 0.534201 (-0.519443) | 0.285016 / 0.579283 (-0.294267) | 0.275461 / 0.434364 (-0.158903) | 0.325535 / 0.540337 (-0.214803) | 0.415871 / 1.386936 (-0.971065) |

</details>
</details>

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