Remove tasks
Opened by albertvillanova (closed)

Remove tasks, as part of the 3.0 release.

Comments:
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6999). 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) | 0.005330 / 0.011353 (-0.006023) | 0.003946 / 0.011008 (-0.007062) | 0.063530 / 0.038508 (0.025022) | 0.030529 / 0.023109 (0.007419) | 0.239364 / 0.275898 (-0.036534) | 0.261683 / 0.323480 (-0.061797) | 0.003197 / 0.007986 (-0.004789) | 0.003485 / 0.004328 (-0.000844) | 0.049575 / 0.004250 (0.045325) | 0.046164 / 0.037052 (0.009112) | 0.246129 / 0.258489 (-0.012360) | 0.281365 / 0.293841 (-0.012476) | 0.029480 / 0.128546 (-0.099066) | 0.012450 / 0.075646 (-0.063196) | 0.203696 / 0.419271 (-0.215575) | 0.036539 / 0.043533 (-0.006994) | 0.241664 / 0.255139 (-0.013475) | 0.260930 / 0.283200 (-0.022270) | 0.019931 / 0.141683 (-0.121752) | 1.221075 / 1.452155 (-0.231080) | 1.246315 / 1.492716 (-0.246402) |

### 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) | 0.095061 / 0.018006 (0.077055) | 0.304773 / 0.000490 (0.304283) | 0.000208 / 0.000200 (0.000008) | 0.000050 / 0.000054 (-0.000004) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.019032 / 0.037411 (-0.018380) | 0.062521 / 0.014526 (0.047995) | 0.075668 / 0.176557 (-0.100889) | 0.121634 / 0.737135 (-0.615501) | 0.075456 / 0.296338 (-0.220882) |

### 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) | 0.291721 / 0.215209 (0.076512) | 2.845445 / 2.077655 (0.767790) | 1.450971 / 1.504120 (-0.053149) | 1.334586 / 1.541195 (-0.206609) | 1.358095 / 1.468490 (-0.110396) | 0.729624 / 4.584777 (-3.855153) | 2.411504 / 3.745712 (-1.334208) | 2.858871 / 5.269862 (-2.410991) | 1.893074 / 4.565676 (-2.672603) | 0.079068 / 0.424275 (-0.345207) | 0.005476 / 0.007607 (-0.002131) | 0.329816 / 0.226044 (0.103771) | 3.305361 / 2.268929 (1.036432) | 1.799924 / 55.444624 (-53.644700) | 1.512130 / 6.876477 (-5.364347) | 1.635195 / 2.142072 (-0.506877) | 0.801486 / 4.805227 (-4.003741) | 0.134677 / 6.500664 (-6.365987) | 0.042266 / 0.075469 (-0.033203) |

### 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) | 0.969835 / 1.841788 (-0.871952) | 11.421833 / 8.074308 (3.347524) | 9.799120 / 10.191392 (-0.392272) | 0.144888 / 0.680424 (-0.535536) | 0.014191 / 0.534201 (-0.520010) | 0.301037 / 0.579283 (-0.278246) | 0.263329 / 0.434364 (-0.171034) | 0.403013 / 0.540337 (-0.137324) | 0.463805 / 1.386936 (-0.923131) |

</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) | 0.005913 / 0.011353 (-0.005440) | 0.003890 / 0.011008 (-0.007118) | 0.049995 / 0.038508 (0.011487) | 0.032497 / 0.023109 (0.009387) | 0.269926 / 0.275898 (-0.005972) | 0.295567 / 0.323480 (-0.027913) | 0.004365 / 0.007986 (-0.003620) | 0.002818 / 0.004328 (-0.001510) | 0.049055 / 0.004250 (0.044805) | 0.040683 / 0.037052 (0.003630) | 0.283043 / 0.258489 (0.024554) | 0.321072 / 0.293841 (0.027232) | 0.032760 / 0.128546 (-0.095787) | 0.012370 / 0.075646 (-0.063277) | 0.061574 / 0.419271 (-0.357698) | 0.033714 / 0.043533 (-0.009819) | 0.276287 / 0.255139 (0.021148) | 0.290078 / 0.283200 (0.006878) | 0.017250 / 0.141683 (-0.124432) | 1.165291 / 1.452155 (-0.286863) | 1.213687 / 1.492716 (-0.279029) |

### 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) | 0.096122 / 0.018006 (0.078115) | 0.311954 / 0.000490 (0.311464) | 0.000213 / 0.000200 (0.000013) | 0.000052 / 0.000054 (-0.000002) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.022142 / 0.037411 (-0.015270) | 0.076470 / 0.014526 (0.061945) | 0.088340 / 0.176557 (-0.088216) | 0.128594 / 0.737135 (-0.608542) | 0.089780 / 0.296338 (-0.206558) |

### 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) | 0.298129 / 0.215209 (0.082920) | 2.943735 / 2.077655 (0.866080) | 1.574351 / 1.504120 (0.070231) | 1.446688 / 1.541195 (-0.094506) | 1.477714 / 1.468490 (0.009223) | 0.722195 / 4.584777 (-3.862582) | 0.967675 / 3.745712 (-2.778037) | 2.803346 / 5.269862 (-2.466515) | 1.895882 / 4.565676 (-2.669794) | 0.079193 / 0.424275 (-0.345082) | 0.005250 / 0.007607 (-0.002357) | 0.350193 / 0.226044 (0.124149) | 3.514562 / 2.268929 (1.245634) | 1.962743 / 55.444624 (-53.481881) | 1.677308 / 6.876477 (-5.199169) | 1.811473 / 2.142072 (-0.330600) | 0.796234 / 4.805227 (-4.008993) | 0.131810 / 6.500664 (-6.368854) | 0.041301 / 0.075469 (-0.034168) |

### 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) | 1.030700 / 1.841788 (-0.811088) | 12.108809 / 8.074308 (4.034501) | 10.426112 / 10.191392 (0.234720) | 0.139829 / 0.680424 (-0.540595) | 0.015133 / 0.534201 (-0.519068) | 0.307782 / 0.579283 (-0.271501) | 0.130554 / 0.434364 (-0.303810) | 0.342728 / 0.540337 (-0.197610) | 0.435426 / 1.386936 (-0.951510) |

</details>
</details>

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