Fix Quickstart notebook link
State: closed | Author: mariosasko (COLLABORATOR)

Reported in https://github.com/huggingface/datasets/pull/5902#issuecomment-1649885621 (cc @alvarobartt)

Comments: _The documentation is not available anymore as the PR was closed or merged._

<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) | 0.008473 / 0.011353 (-0.002880) | 0.004734 / 0.011008 (-0.006274) | 0.103895 / 0.038508 (0.065387) | 0.071838 / 0.023109 (0.048729) | 0.379949 / 0.275898 (0.104051) | 0.397375 / 0.323480 (0.073895) | 0.006695 / 0.007986 (-0.001290) | 0.004536 / 0.004328 (0.000207) | 0.076151 / 0.004250 (0.071901) | 0.058690 / 0.037052 (0.021638) | 0.379937 / 0.258489 (0.121448) | 0.411833 / 0.293841 (0.117992) | 0.046805 / 0.128546 (-0.081741) | 0.013689 / 0.075646 (-0.061958) | 0.327896 / 0.419271 (-0.091375) | 0.063873 / 0.043533 (0.020340) | 0.378451 / 0.255139 (0.123312) | 0.398725 / 0.283200 (0.115525) | 0.034961 / 0.141683 (-0.106722) | 1.604999 / 1.452155 (0.152845) | 1.748370 / 1.492716 (0.255654) |

### 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) | 0.224634 / 0.018006 (0.206628) | 0.548468 / 0.000490 (0.547979) | 0.005049 / 0.000200 (0.004849) | 0.000097 / 0.000054 (0.000043) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.028144 / 0.037411 (-0.009267) | 0.092184 / 0.014526 (0.077659) | 0.102987 / 0.176557 (-0.073570) | 0.176987 / 0.737135 (-0.560149) | 0.103093 / 0.296338 (-0.193246) |

### 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) | 0.578410 / 0.215209 (0.363201) | 5.664781 / 2.077655 (3.587126) | 2.487763 / 1.504120 (0.983643) | 2.254213 / 1.541195 (0.713018) | 2.239693 / 1.468490 (0.771202) | 0.810380 / 4.584777 (-3.774397) | 5.036540 / 3.745712 (1.290828) | 7.064695 / 5.269862 (1.794834) | 4.215101 / 4.565676 (-0.350575) | 0.089792 / 0.424275 (-0.334483) | 0.008487 / 0.007607 (0.000879) | 0.692292 / 0.226044 (0.466248) | 6.780226 / 2.268929 (4.511297) | 3.245510 / 55.444624 (-52.199114) | 2.575984 / 6.876477 (-4.300493) | 2.747546 / 2.142072 (0.605473) | 0.956604 / 4.805227 (-3.848623) | 0.198937 / 6.500664 (-6.301727) | 0.070849 / 0.075469 (-0.004620) |

### 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) | 1.536469 / 1.841788 (-0.305319) | 21.750583 / 8.074308 (13.676275) | 20.559532 / 10.191392 (10.368140) | 0.241244 / 0.680424 (-0.439180) | 0.030078 / 0.534201 (-0.504123) | 0.462204 / 0.579283 (-0.117079) | 0.600103 / 0.434364 (0.165739) | 0.535074 / 0.540337 (-0.005264) | 0.764427 / 1.386936 (-0.622509) |

</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) | 0.009712 / 0.011353 (-0.001641) | 0.005036 / 0.011008 (-0.005972) | 0.073683 / 0.038508 (0.035175) | 0.078684 / 0.023109 (0.055574) | 0.445096 / 0.275898 (0.169198) | 0.496233 / 0.323480 (0.172754) | 0.006231 / 0.007986 (-0.001755) | 0.004720 / 0.004328 (0.000392) | 0.076444 / 0.004250 (0.072194) | 0.060932 / 0.037052 (0.023880) | 0.505727 / 0.258489 (0.247238) | 0.498702 / 0.293841 (0.204861) | 0.047115 / 0.128546 (-0.081431) | 0.014028 / 0.075646 (-0.061618) | 0.099292 / 0.419271 (-0.319980) | 0.061571 / 0.043533 (0.018038) | 0.468435 / 0.255139 (0.213296) | 0.481747 / 0.283200 (0.198547) | 0.033962 / 0.141683 (-0.107721) | 1.665397 / 1.452155 (0.213242) | 1.830488 / 1.492716 (0.337772) |

### 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) | 0.268217 / 0.018006 (0.250211) | 0.555123 / 0.000490 (0.554633) | 0.000451 / 0.000200 (0.000251) | 0.000156 / 0.000054 (0.000101) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.034262 / 0.037411 (-0.003150) | 0.107807 / 0.014526 (0.093281) | 0.115631 / 0.176557 (-0.060926) | 0.175914 / 0.737135 (-0.561221) | 0.118775 / 0.296338 (-0.177564) |

### 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) | 0.583260 / 0.215209 (0.368051) | 5.934976 / 2.077655 (3.857321) | 2.752304 / 1.504120 (1.248184) | 2.382746 / 1.541195 (0.841551) | 2.389402 / 1.468490 (0.920912) | 0.794213 / 4.584777 (-3.790564) | 5.215269 / 3.745712 (1.469557) | 7.083595 / 5.269862 (1.813733) | 3.776136 / 4.565676 (-0.789540) | 0.091141 / 0.424275 (-0.333135) | 0.008803 / 0.007607 (0.001196) | 0.726510 / 0.226044 (0.500465) | 6.926860 / 2.268929 (4.657931) | 3.475612 / 55.444624 (-51.969012) | 2.730237 / 6.876477 (-4.146240) | 2.879145 / 2.142072 (0.737073) | 0.959956 / 4.805227 (-3.845271) | 0.189812 / 6.500664 (-6.310852) | 0.071624 / 0.075469 (-0.003845) |

### 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) | 1.748184 / 1.841788 (-0.093603) | 23.764520 / 8.074308 (15.690212) | 19.502461 / 10.191392 (9.311069) | 0.233987 / 0.680424 (-0.446437) | 0.028116 / 0.534201 (-0.506085) | 0.478838 / 0.579283 (-0.100445) | 0.560952 / 0.434364 (0.126588) | 0.529902 / 0.540337 (-0.010435) | 0.735095 / 1.386936 (-0.651841) |

</details>
</details>

![](https://cml.dev/watermark.png#dda3e389212f44117a40b44bb0cdf358cfd9f71e "CML watermark")


<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) | 0.006735 / 0.011353 (-0.004618) | 0.004131 / 0.011008 (-0.006878) | 0.085619 / 0.038508 (0.047111) | 0.076973 / 0.023109 (0.053864) | 0.315175 / 0.275898 (0.039277) | 0.354703 / 0.323480 (0.031223) | 0.005409 / 0.007986 (-0.002577) | 0.003438 / 0.004328 (-0.000891) | 0.064773 / 0.004250 (0.060523) | 0.056117 / 0.037052 (0.019064) | 0.313825 / 0.258489 (0.055336) | 0.354654 / 0.293841 (0.060813) | 0.031384 / 0.128546 (-0.097163) | 0.008537 / 0.075646 (-0.067109) | 0.288528 / 0.419271 (-0.130744) | 0.053036 / 0.043533 (0.009504) | 0.312213 / 0.255139 (0.057074) | 0.335952 / 0.283200 (0.052752) | 0.023165 / 0.141683 (-0.118518) | 1.497559 / 1.452155 (0.045404) | 1.561949 / 1.492716 (0.069233) |

### 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) | 0.212558 / 0.018006 (0.194552) | 0.456555 / 0.000490 (0.456065) | 0.000334 / 0.000200 (0.000134) | 0.000052 / 0.000054 (-0.000002) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.028571 / 0.037411 (-0.008840) | 0.085154 / 0.014526 (0.070628) | 0.095961 / 0.176557 (-0.080596) | 0.153041 / 0.737135 (-0.584094) | 0.099234 / 0.296338 (-0.197105) |

### 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) | 0.381796 / 0.215209 (0.166587) | 3.806948 / 2.077655 (1.729294) | 1.829597 / 1.504120 (0.325477) | 1.659065 / 1.541195 (0.117870) | 1.738524 / 1.468490 (0.270034) | 0.483379 / 4.584777 (-4.101398) | 3.540648 / 3.745712 (-0.205064) | 3.269188 / 5.269862 (-2.000673) | 2.042113 / 4.565676 (-2.523564) | 0.056905 / 0.424275 (-0.367370) | 0.007235 / 0.007607 (-0.000373) | 0.460581 / 0.226044 (0.234537) | 4.597451 / 2.268929 (2.328522) | 2.334284 / 55.444624 (-53.110340) | 1.960026 / 6.876477 (-4.916450) | 2.172118 / 2.142072 (0.030045) | 0.576758 / 4.805227 (-4.228470) | 0.131196 / 6.500664 (-6.369468) | 0.060053 / 0.075469 (-0.015417) |

### 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) | 1.289466 / 1.841788 (-0.552322) | 19.713059 / 8.074308 (11.638750) | 14.292390 / 10.191392 (4.100998) | 0.146199 / 0.680424 (-0.534225) | 0.018123 / 0.534201 (-0.516078) | 0.392492 / 0.579283 (-0.186791) | 0.416544 / 0.434364 (-0.017820) | 0.457166 / 0.540337 (-0.083171) | 0.645490 / 1.386936 (-0.741446) |

</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) | 0.006508 / 0.011353 (-0.004845) | 0.004010 / 0.011008 (-0.006998) | 0.065201 / 0.038508 (0.026693) | 0.076322 / 0.023109 (0.053213) | 0.364198 / 0.275898 (0.088300) | 0.398251 / 0.323480 (0.074771) | 0.005328 / 0.007986 (-0.002658) | 0.003298 / 0.004328 (-0.001031) | 0.064378 / 0.004250 (0.060128) | 0.056053 / 0.037052 (0.019000) | 0.365431 / 0.258489 (0.106942) | 0.402777 / 0.293841 (0.108936) | 0.031014 / 0.128546 (-0.097532) | 0.008507 / 0.075646 (-0.067140) | 0.071471 / 0.419271 (-0.347801) | 0.048300 / 0.043533 (0.004768) | 0.359700 / 0.255139 (0.104561) | 0.382244 / 0.283200 (0.099044) | 0.023783 / 0.141683 (-0.117900) | 1.517518 / 1.452155 (0.065363) | 1.569732 / 1.492716 (0.077015) |

### 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) | 0.257447 / 0.018006 (0.239440) | 0.452598 / 0.000490 (0.452109) | 0.015187 / 0.000200 (0.014987) | 0.000164 / 0.000054 (0.000109) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.030958 / 0.037411 (-0.006454) | 0.090066 / 0.014526 (0.075540) | 0.101120 / 0.176557 (-0.075437) | 0.154295 / 0.737135 (-0.582840) | 0.103582 / 0.296338 (-0.192756) |

### 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) | 0.415945 / 0.215209 (0.200736) | 4.146464 / 2.077655 (2.068809) | 2.121414 / 1.504120 (0.617294) | 1.956885 / 1.541195 (0.415690) | 2.047955 / 1.468490 (0.579465) | 0.486334 / 4.584777 (-4.098443) | 3.506263 / 3.745712 (-0.239449) | 4.942274 / 5.269862 (-0.327587) | 2.907836 / 4.565676 (-1.657841) | 0.057344 / 0.424275 (-0.366931) | 0.007813 / 0.007607 (0.000206) | 0.497888 / 0.226044 (0.271844) | 4.978017 / 2.268929 (2.709089) | 2.600447 / 55.444624 (-52.844177) | 2.335050 / 6.876477 (-4.541427) | 2.480373 / 2.142072 (0.338301) | 0.597954 / 4.805227 (-4.207274) | 0.134794 / 6.500664 (-6.365870) | 0.062605 / 0.075469 (-0.012864) |

### 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) | 1.344390 / 1.841788 (-0.497398) | 20.020067 / 8.074308 (11.945759) | 14.344626 / 10.191392 (4.153234) | 0.172101 / 0.680424 (-0.508322) | 0.018549 / 0.534201 (-0.515652) | 0.393589 / 0.579283 (-0.185694) | 0.438401 / 0.434364 (0.004037) | 0.463800 / 0.540337 (-0.076537) | 0.618269 / 1.386936 (-0.768667) |

</details>
</details>

![](https://cml.dev/watermark.png#b0177910b32712f28d147879395e511207e39958 "CML watermark")