ci: 🎡 remove two obsolete issue templates
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<summary>Show benchmarks</summary>

PyArrow==6.0.0

<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) | 0.008450 / 0.011353 (-0.002902) | 0.004478 / 0.011008 (-0.006530) | 0.100440 / 0.038508 (0.061931) | 0.029568 / 0.023109 (0.006459) | 0.296705 / 0.275898 (0.020807) | 0.354565 / 0.323480 (0.031085) | 0.006887 / 0.007986 (-0.001098) | 0.003415 / 0.004328 (-0.000914) | 0.078876 / 0.004250 (0.074626) | 0.034927 / 0.037052 (-0.002125) | 0.307695 / 0.258489 (0.049206) | 0.340917 / 0.293841 (0.047076) | 0.033630 / 0.128546 (-0.094916) | 0.011626 / 0.075646 (-0.064020) | 0.322644 / 0.419271 (-0.096627) | 0.040254 / 0.043533 (-0.003279) | 0.297419 / 0.255139 (0.042280) | 0.321584 / 0.283200 (0.038384) | 0.086202 / 0.141683 (-0.055481) | 1.465579 / 1.452155 (0.013425) | 1.521456 / 1.492716 (0.028740) |

### 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) | 0.200890 / 0.018006 (0.182884) | 0.410300 / 0.000490 (0.409811) | 0.001647 / 0.000200 (0.001447) | 0.000074 / 0.000054 (0.000020) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.022569 / 0.037411 (-0.014843) | 0.096062 / 0.014526 (0.081536) | 0.102474 / 0.176557 (-0.074082) | 0.138596 / 0.737135 (-0.598539) | 0.106262 / 0.296338 (-0.190077) |

### 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) | 0.415976 / 0.215209 (0.200766) | 4.144322 / 2.077655 (2.066667) | 1.871783 / 1.504120 (0.367663) | 1.669478 / 1.541195 (0.128283) | 1.718214 / 1.468490 (0.249724) | 0.687870 / 4.584777 (-3.896907) | 3.362084 / 3.745712 (-0.383628) | 1.844127 / 5.269862 (-3.425735) | 1.149611 / 4.565676 (-3.416066) | 0.081410 / 0.424275 (-0.342865) | 0.012278 / 0.007607 (0.004671) | 0.518245 / 0.226044 (0.292200) | 5.185164 / 2.268929 (2.916236) | 2.299029 / 55.444624 (-53.145595) | 1.960021 / 6.876477 (-4.916456) | 2.009751 / 2.142072 (-0.132322) | 0.803759 / 4.805227 (-4.001468) | 0.147340 / 6.500664 (-6.353324) | 0.063896 / 0.075469 (-0.011573) |

### 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) | 1.254142 / 1.841788 (-0.587646) | 13.799683 / 8.074308 (5.725375) | 13.940387 / 10.191392 (3.748995) | 0.151246 / 0.680424 (-0.529178) | 0.028709 / 0.534201 (-0.505491) | 0.391600 / 0.579283 (-0.187683) | 0.405750 / 0.434364 (-0.028614) | 0.455479 / 0.540337 (-0.084858) | 0.541022 / 1.386936 (-0.845914) |

</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) | 0.006462 / 0.011353 (-0.004891) | 0.004462 / 0.011008 (-0.006547) | 0.096588 / 0.038508 (0.058080) | 0.026931 / 0.023109 (0.003822) | 0.344595 / 0.275898 (0.068697) | 0.378743 / 0.323480 (0.055264) | 0.005672 / 0.007986 (-0.002314) | 0.003345 / 0.004328 (-0.000984) | 0.074363 / 0.004250 (0.070112) | 0.037300 / 0.037052 (0.000248) | 0.346895 / 0.258489 (0.088406) | 0.388585 / 0.293841 (0.094744) | 0.031459 / 0.128546 (-0.097088) | 0.011522 / 0.075646 (-0.064124) | 0.318507 / 0.419271 (-0.100764) | 0.041145 / 0.043533 (-0.002388) | 0.343866 / 0.255139 (0.088727) | 0.366490 / 0.283200 (0.083291) | 0.086793 / 0.141683 (-0.054890) | 1.483859 / 1.452155 (0.031704) | 1.574006 / 1.492716 (0.081290) |

### 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) | 0.220436 / 0.018006 (0.202430) | 0.402988 / 0.000490 (0.402498) | 0.000435 / 0.000200 (0.000235) | 0.000063 / 0.000054 (0.000009) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.024573 / 0.037411 (-0.012838) | 0.099190 / 0.014526 (0.084664) | 0.106796 / 0.176557 (-0.069761) | 0.142387 / 0.737135 (-0.594748) | 0.109991 / 0.296338 (-0.186347) |

### 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) | 0.473452 / 0.215209 (0.258243) | 4.749554 / 2.077655 (2.671899) | 2.433482 / 1.504120 (0.929362) | 2.224276 / 1.541195 (0.683082) | 2.261579 / 1.468490 (0.793088) | 0.699876 / 4.584777 (-3.884901) | 3.378366 / 3.745712 (-0.367346) | 1.835062 / 5.269862 (-3.434799) | 1.161249 / 4.565676 (-3.404427) | 0.082967 / 0.424275 (-0.341308) | 0.012745 / 0.007607 (0.005138) | 0.580006 / 0.226044 (0.353962) | 5.789868 / 2.268929 (3.520939) | 2.909496 / 55.444624 (-52.535128) | 2.539196 / 6.876477 (-4.337280) | 2.617737 / 2.142072 (0.475665) | 0.810320 / 4.805227 (-3.994907) | 0.152501 / 6.500664 (-6.348163) | 0.067201 / 0.075469 (-0.008268) |

### 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) | 1.257844 / 1.841788 (-0.583943) | 13.865295 / 8.074308 (5.790987) | 14.169073 / 10.191392 (3.977680) | 0.135655 / 0.680424 (-0.544769) | 0.016597 / 0.534201 (-0.517604) | 0.374915 / 0.579283 (-0.204368) | 0.382771 / 0.434364 (-0.051593) | 0.431934 / 0.540337 (-0.108403) | 0.524617 / 1.386936 (-0.862319) |

</details>
</details>

![](https://cml.dev/watermark.png "CML watermark")
 <details>
<summary>Show benchmarks</summary>

PyArrow==6.0.0

<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) | 0.008748 / 0.011353 (-0.002605) | 0.004489 / 0.011008 (-0.006519) | 0.100923 / 0.038508 (0.062415) | 0.031436 / 0.023109 (0.008326) | 0.306508 / 0.275898 (0.030610) | 0.365110 / 0.323480 (0.041630) | 0.007161 / 0.007986 (-0.000824) | 0.005489 / 0.004328 (0.001160) | 0.078909 / 0.004250 (0.074658) | 0.036097 / 0.037052 (-0.000955) | 0.307907 / 0.258489 (0.049418) | 0.370277 / 0.293841 (0.076436) | 0.034184 / 0.128546 (-0.094362) | 0.011613 / 0.075646 (-0.064033) | 0.322896 / 0.419271 (-0.096375) | 0.041829 / 0.043533 (-0.001704) | 0.299669 / 0.255139 (0.044530) | 0.322217 / 0.283200 (0.039017) | 0.087751 / 0.141683 (-0.053932) | 1.476277 / 1.452155 (0.024122) | 1.548196 / 1.492716 (0.055480) |

### 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) | 0.183002 / 0.018006 (0.164995) | 0.415627 / 0.000490 (0.415138) | 0.003272 / 0.000200 (0.003072) | 0.000070 / 0.000054 (0.000015) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.024881 / 0.037411 (-0.012531) | 0.103424 / 0.014526 (0.088898) | 0.106446 / 0.176557 (-0.070110) | 0.142806 / 0.737135 (-0.594330) | 0.110938 / 0.296338 (-0.185401) |

### 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) | 0.421669 / 0.215209 (0.206460) | 4.207457 / 2.077655 (2.129802) | 1.882176 / 1.504120 (0.378056) | 1.677609 / 1.541195 (0.136415) | 1.734065 / 1.468490 (0.265575) | 0.695915 / 4.584777 (-3.888862) | 3.416731 / 3.745712 (-0.328981) | 1.872575 / 5.269862 (-3.397286) | 1.163612 / 4.565676 (-3.402064) | 0.082710 / 0.424275 (-0.341565) | 0.012659 / 0.007607 (0.005052) | 0.528785 / 0.226044 (0.302741) | 5.305328 / 2.268929 (3.036399) | 2.299850 / 55.444624 (-53.144774) | 1.968137 / 6.876477 (-4.908339) | 2.028326 / 2.142072 (-0.113746) | 0.813157 / 4.805227 (-3.992070) | 0.149997 / 6.500664 (-6.350668) | 0.066739 / 0.075469 (-0.008730) |

### 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) | 1.206332 / 1.841788 (-0.635456) | 13.795510 / 8.074308 (5.721202) | 14.367695 / 10.191392 (4.176303) | 0.138106 / 0.680424 (-0.542318) | 0.028760 / 0.534201 (-0.505441) | 0.394822 / 0.579283 (-0.184461) | 0.403291 / 0.434364 (-0.031073) | 0.463273 / 0.540337 (-0.077065) | 0.540881 / 1.386936 (-0.846055) |

</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) | 0.006830 / 0.011353 (-0.004523) | 0.004606 / 0.011008 (-0.006402) | 0.097763 / 0.038508 (0.059255) | 0.027832 / 0.023109 (0.004723) | 0.422970 / 0.275898 (0.147072) | 0.460313 / 0.323480 (0.136833) | 0.005110 / 0.007986 (-0.002876) | 0.003428 / 0.004328 (-0.000901) | 0.075047 / 0.004250 (0.070797) | 0.038374 / 0.037052 (0.001322) | 0.422762 / 0.258489 (0.164273) | 0.469886 / 0.293841 (0.176045) | 0.032391 / 0.128546 (-0.096155) | 0.011804 / 0.075646 (-0.063843) | 0.320439 / 0.419271 (-0.098832) | 0.041939 / 0.043533 (-0.001594) | 0.422521 / 0.255139 (0.167382) | 0.446420 / 0.283200 (0.163220) | 0.090715 / 0.141683 (-0.050968) | 1.484578 / 1.452155 (0.032423) | 1.556154 / 1.492716 (0.063438) |

### 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) | 0.260735 / 0.018006 (0.242728) | 0.415586 / 0.000490 (0.415096) | 0.026960 / 0.000200 (0.026760) | 0.000296 / 0.000054 (0.000241) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.024926 / 0.037411 (-0.012486) | 0.099651 / 0.014526 (0.085125) | 0.107810 / 0.176557 (-0.068747) | 0.148685 / 0.737135 (-0.588451) | 0.112725 / 0.296338 (-0.183614) |

### 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) | 0.472669 / 0.215209 (0.257460) | 4.718827 / 2.077655 (2.641172) | 2.475583 / 1.504120 (0.971463) | 2.260862 / 1.541195 (0.719667) | 2.307820 / 1.468490 (0.839330) | 0.699464 / 4.584777 (-3.885313) | 3.376282 / 3.745712 (-0.369431) | 1.872650 / 5.269862 (-3.397211) | 1.176399 / 4.565676 (-3.389277) | 0.082854 / 0.424275 (-0.341421) | 0.012845 / 0.007607 (0.005237) | 0.582088 / 0.226044 (0.356044) | 5.861609 / 2.268929 (3.592681) | 2.930728 / 55.444624 (-52.513896) | 2.624310 / 6.876477 (-4.252167) | 2.762130 / 2.142072 (0.620058) | 0.811902 / 4.805227 (-3.993325) | 0.152516 / 6.500664 (-6.348149) | 0.067670 / 0.075469 (-0.007799) |

### 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) | 1.289790 / 1.841788 (-0.551997) | 14.267607 / 8.074308 (6.193299) | 14.120655 / 10.191392 (3.929263) | 0.128442 / 0.680424 (-0.551982) | 0.017079 / 0.534201 (-0.517121) | 0.381807 / 0.579283 (-0.197476) | 0.400546 / 0.434364 (-0.033818) | 0.447629 / 0.540337 (-0.092709) | 0.532006 / 1.386936 (-0.854930) |

</details>
</details>

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

add-dataset is not needed anymore since the "canonical" datasets are on the Hub. And dataset-viewer is managed within the datasets-server project.

See https://github.com/huggingface/datasets/issues/new/choose

<img width="1245" alt="Capture d’écran 2023-01-13 à 13 59 58" src="https://user-images.githubusercontent.com/1676121/212325813-2d4c30e2-343e-4aa2-8cce-b2b77f45628e.png">
