Title: Release: 2.17.0
Author: albertvillanova (MEMBER)
State: closed
Created: 2024-02-09T09:25:01Z


Comments:
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6652). 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) | 0.005207 / 0.011353 (-0.006145) | 0.003785 / 0.011008 (-0.007223) | 0.064221 / 0.038508 (0.025713) | 0.028981 / 0.023109 (0.005872) | 0.246215 / 0.275898 (-0.029683) | 0.268058 / 0.323480 (-0.055422) | 0.004028 / 0.007986 (-0.003958) | 0.002804 / 0.004328 (-0.001525) | 0.048878 / 0.004250 (0.044627) | 0.042641 / 0.037052 (0.005589) | 0.255590 / 0.258489 (-0.002899) | 0.287377 / 0.293841 (-0.006464) | 0.027772 / 0.128546 (-0.100774) | 0.010637 / 0.075646 (-0.065009) | 0.211526 / 0.419271 (-0.207746) | 0.035789 / 0.043533 (-0.007744) | 0.243042 / 0.255139 (-0.012097) | 0.268369 / 0.283200 (-0.014830) | 0.017907 / 0.141683 (-0.123776) | 1.138829 / 1.452155 (-0.313326) | 1.175732 / 1.492716 (-0.316984) |

### 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) | 0.094205 / 0.018006 (0.076199) | 0.304317 / 0.000490 (0.303827) | 0.000206 / 0.000200 (0.000006) | 0.000049 / 0.000054 (-0.000005) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.018424 / 0.037411 (-0.018987) | 0.061719 / 0.014526 (0.047193) | 0.073471 / 0.176557 (-0.103085) | 0.121577 / 0.737135 (-0.615558) | 0.075134 / 0.296338 (-0.221204) |

### 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) | 0.275178 / 0.215209 (0.059969) | 2.689222 / 2.077655 (0.611568) | 1.396680 / 1.504120 (-0.107439) | 1.278782 / 1.541195 (-0.262413) | 1.326632 / 1.468490 (-0.141858) | 0.566915 / 4.584777 (-4.017862) | 2.365928 / 3.745712 (-1.379784) | 2.785435 / 5.269862 (-2.484427) | 1.745131 / 4.565676 (-2.820546) | 0.062798 / 0.424275 (-0.361477) | 0.005107 / 0.007607 (-0.002500) | 0.330441 / 0.226044 (0.104396) | 3.266265 / 2.268929 (0.997337) | 1.792588 / 55.444624 (-53.652036) | 1.516021 / 6.876477 (-5.360455) | 1.562750 / 2.142072 (-0.579323) | 0.652964 / 4.805227 (-4.152264) | 0.117813 / 6.500664 (-6.382852) | 0.042372 / 0.075469 (-0.033097) |

### 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) | 1.010107 / 1.841788 (-0.831680) | 11.819910 / 8.074308 (3.745602) | 9.701673 / 10.191392 (-0.489719) | 0.178165 / 0.680424 (-0.502259) | 0.014438 / 0.534201 (-0.519763) | 0.297733 / 0.579283 (-0.281550) | 0.264914 / 0.434364 (-0.169450) | 0.324531 / 0.540337 (-0.215806) | 0.430207 / 1.386936 (-0.956729) |

</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) | 0.005848 / 0.011353 (-0.005505) | 0.003870 / 0.011008 (-0.007138) | 0.050379 / 0.038508 (0.011871) | 0.031238 / 0.023109 (0.008129) | 0.276839 / 0.275898 (0.000941) | 0.299488 / 0.323480 (-0.023992) | 0.005143 / 0.007986 (-0.002842) | 0.002725 / 0.004328 (-0.001604) | 0.048184 / 0.004250 (0.043934) | 0.046232 / 0.037052 (0.009180) | 0.287058 / 0.258489 (0.028569) | 0.322659 / 0.293841 (0.028818) | 0.047598 / 0.128546 (-0.080949) | 0.011116 / 0.075646 (-0.064530) | 0.058252 / 0.419271 (-0.361019) | 0.033404 / 0.043533 (-0.010128) | 0.277650 / 0.255139 (0.022511) | 0.295610 / 0.283200 (0.012410) | 0.018124 / 0.141683 (-0.123559) | 1.135052 / 1.452155 (-0.317103) | 1.194261 / 1.492716 (-0.298456) |

### 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) | 0.095595 / 0.018006 (0.077588) | 0.306408 / 0.000490 (0.305918) | 0.000216 / 0.000200 (0.000016) | 0.000044 / 0.000054 (-0.000010) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.022027 / 0.037411 (-0.015385) | 0.076224 / 0.014526 (0.061698) | 0.087441 / 0.176557 (-0.089116) | 0.126636 / 0.737135 (-0.610499) | 0.089442 / 0.296338 (-0.206896) |

### 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) | 0.291315 / 0.215209 (0.076106) | 2.835304 / 2.077655 (0.757650) | 1.581102 / 1.504120 (0.076982) | 1.463046 / 1.541195 (-0.078149) | 1.481982 / 1.468490 (0.013492) | 0.559989 / 4.584777 (-4.024788) | 2.385262 / 3.745712 (-1.360450) | 2.773478 / 5.269862 (-2.496383) | 1.744427 / 4.565676 (-2.821249) | 0.062687 / 0.424275 (-0.361589) | 0.005149 / 0.007607 (-0.002458) | 0.374600 / 0.226044 (0.148555) | 3.376507 / 2.268929 (1.107579) | 1.935290 / 55.444624 (-53.509334) | 1.663227 / 6.876477 (-5.213250) | 1.678987 / 2.142072 (-0.463085) | 0.638970 / 4.805227 (-4.166258) | 0.120000 / 6.500664 (-6.380664) | 0.040862 / 0.075469 (-0.034608) |

### 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) | 1.008795 / 1.841788 (-0.832993) | 12.275084 / 8.074308 (4.200776) | 10.340088 / 10.191392 (0.148696) | 0.136454 / 0.680424 (-0.543970) | 0.014404 / 0.534201 (-0.519797) | 0.289478 / 0.579283 (-0.289805) | 0.279243 / 0.434364 (-0.155121) | 0.330992 / 0.540337 (-0.209346) | 0.422043 / 1.386936 (-0.964893) |

</details>
</details>

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