Unpin `tensorflow` maximum version

Removes the temporary pin introduced in #6264 

<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) | 0.006663 / 0.011353 (-0.004690) | 0.004091 / 0.011008 (-0.006918) | 0.084954 / 0.038508 (0.046445) | 0.071869 / 0.023109 (0.048760) | 0.314706 / 0.275898 (0.038808) | 0.352794 / 0.323480 (0.029314) | 0.004027 / 0.007986 (-0.003959) | 0.003371 / 0.004328 (-0.000957) | 0.065456 / 0.004250 (0.061205) | 0.055828 / 0.037052 (0.018775) | 0.316502 / 0.258489 (0.058013) | 0.377979 / 0.293841 (0.084138) | 0.030870 / 0.128546 (-0.097676) | 0.008616 / 0.075646 (-0.067030) | 0.288625 / 0.419271 (-0.130646) | 0.052314 / 0.043533 (0.008781) | 0.322725 / 0.255139 (0.067586) | 0.351810 / 0.283200 (0.068611) | 0.025726 / 0.141683 (-0.115957) | 1.439308 / 1.452155 (-0.012847) | 1.524484 / 1.492716 (0.031768) |

### 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) | 0.235212 / 0.018006 (0.217206) | 0.444926 / 0.000490 (0.444437) | 0.009887 / 0.000200 (0.009687) | 0.000402 / 0.000054 (0.000347) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.028956 / 0.037411 (-0.008455) | 0.084401 / 0.014526 (0.069875) | 0.339686 / 0.176557 (0.163130) | 0.186785 / 0.737135 (-0.550350) | 0.195017 / 0.296338 (-0.101322) |

### 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) | 0.405480 / 0.215209 (0.190271) | 4.024315 / 2.077655 (1.946661) | 2.056398 / 1.504120 (0.552278) | 1.912099 / 1.541195 (0.370904) | 1.950119 / 1.468490 (0.481629) | 0.486071 / 4.584777 (-4.098706) | 3.578501 / 3.745712 (-0.167211) | 3.268980 / 5.269862 (-2.000881) | 2.018114 / 4.565676 (-2.547563) | 0.057440 / 0.424275 (-0.366835) | 0.007281 / 0.007607 (-0.000326) | 0.474760 / 0.226044 (0.248716) | 4.746908 / 2.268929 (2.477979) | 2.550111 / 55.444624 (-52.894513) | 2.171932 / 6.876477 (-4.704544) | 2.392235 / 2.142072 (0.250162) | 0.585940 / 4.805227 (-4.219287) | 0.136445 / 6.500664 (-6.364219) | 0.062125 / 0.075469 (-0.013344) |

### 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) | 1.270763 / 1.841788 (-0.571025) | 19.213516 / 8.074308 (11.139208) | 13.992620 / 10.191392 (3.801228) | 0.167356 / 0.680424 (-0.513068) | 0.018261 / 0.534201 (-0.515940) | 0.392489 / 0.579283 (-0.186794) | 0.418845 / 0.434364 (-0.015519) | 0.461824 / 0.540337 (-0.078513) | 0.649661 / 1.386936 (-0.737275) |

</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) | 0.006675 / 0.011353 (-0.004678) | 0.003913 / 0.011008 (-0.007096) | 0.064943 / 0.038508 (0.026435) | 0.072426 / 0.023109 (0.049317) | 0.400785 / 0.275898 (0.124887) | 0.434359 / 0.323480 (0.110879) | 0.005370 / 0.007986 (-0.002616) | 0.003290 / 0.004328 (-0.001038) | 0.065035 / 0.004250 (0.060785) | 0.054924 / 0.037052 (0.017872) | 0.404442 / 0.258489 (0.145953) | 0.439027 / 0.293841 (0.145186) | 0.032467 / 0.128546 (-0.096080) | 0.008565 / 0.075646 (-0.067081) | 0.070653 / 0.419271 (-0.348619) | 0.048034 / 0.043533 (0.004501) | 0.400869 / 0.255139 (0.145730) | 0.423048 / 0.283200 (0.139848) | 0.022757 / 0.141683 (-0.118926) | 1.516956 / 1.452155 (0.064801) | 1.581599 / 1.492716 (0.088883) |

### 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) | 0.214761 / 0.018006 (0.196755) | 0.440921 / 0.000490 (0.440431) | 0.007538 / 0.000200 (0.007338) | 0.000087 / 0.000054 (0.000033) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.032313 / 0.037411 (-0.005099) | 0.091365 / 0.014526 (0.076839) | 0.106665 / 0.176557 (-0.069891) | 0.158637 / 0.737135 (-0.578498) | 0.104894 / 0.296338 (-0.191445) |

### 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) | 0.432995 / 0.215209 (0.217786) | 4.339911 / 2.077655 (2.262256) | 2.313139 / 1.504120 (0.809019) | 2.142552 / 1.541195 (0.601357) | 2.279275 / 1.468490 (0.810785) | 0.501133 / 4.584777 (-4.083644) | 3.696160 / 3.745712 (-0.049552) | 3.341886 / 5.269862 (-1.927976) | 2.105972 / 4.565676 (-2.459705) | 0.059268 / 0.424275 (-0.365008) | 0.007568 / 0.007607 (-0.000039) | 0.512546 / 0.226044 (0.286502) | 5.130219 / 2.268929 (2.861290) | 2.808292 / 55.444624 (-52.636332) | 2.478721 / 6.876477 (-4.397755) | 2.679341 / 2.142072 (0.537269) | 0.599022 / 4.805227 (-4.206206) | 0.143761 / 6.500664 (-6.356903) | 0.062061 / 0.075469 (-0.013409) |

### 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) | 1.430507 / 1.841788 (-0.411281) | 20.458085 / 8.074308 (12.383777) | 15.268356 / 10.191392 (5.076964) | 0.163359 / 0.680424 (-0.517065) | 0.020908 / 0.534201 (-0.513293) | 0.396870 / 0.579283 (-0.182413) | 0.432630 / 0.434364 (-0.001733) | 0.475909 / 0.540337 (-0.064429) | 0.681031 / 1.386936 (-0.705905) |

</details>
</details>

![](https://cml.dev/watermark.png#fd1dd6aa4c7fa7744c1c1f877573ff59f1529292 "CML watermark")


CI failures are unrelated

<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) | 0.005815 / 0.011353 (-0.005538) | 0.003419 / 0.011008 (-0.007589) | 0.080286 / 0.038508 (0.041778) | 0.056487 / 0.023109 (0.033377) | 0.304414 / 0.275898 (0.028516) | 0.341039 / 0.323480 (0.017559) | 0.004392 / 0.007986 (-0.003594) | 0.002852 / 0.004328 (-0.001477) | 0.062339 / 0.004250 (0.058089) | 0.044683 / 0.037052 (0.007630) | 0.311651 / 0.258489 (0.053162) | 0.357249 / 0.293841 (0.063409) | 0.027300 / 0.128546 (-0.101246) | 0.007963 / 0.075646 (-0.067683) | 0.261948 / 0.419271 (-0.157323) | 0.044952 / 0.043533 (0.001419) | 0.309990 / 0.255139 (0.054851) | 0.340735 / 0.283200 (0.057536) | 0.020786 / 0.141683 (-0.120897) | 1.471378 / 1.452155 (0.019224) | 1.517260 / 1.492716 (0.024543) |

### 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) | 0.245447 / 0.018006 (0.227441) | 0.418967 / 0.000490 (0.418477) | 0.007039 / 0.000200 (0.006840) | 0.000196 / 0.000054 (0.000142) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.022880 / 0.037411 (-0.014532) | 0.071862 / 0.014526 (0.057337) | 0.083009 / 0.176557 (-0.093547) | 0.143414 / 0.737135 (-0.593722) | 0.082896 / 0.296338 (-0.213442) |

### 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) | 0.390645 / 0.215209 (0.175436) | 3.888104 / 2.077655 (1.810450) | 1.859572 / 1.504120 (0.355452) | 1.683803 / 1.541195 (0.142608) | 1.697902 / 1.468490 (0.229412) | 0.499537 / 4.584777 (-4.085239) | 3.015832 / 3.745712 (-0.729881) | 2.805696 / 5.269862 (-2.464166) | 1.830408 / 4.565676 (-2.735268) | 0.058191 / 0.424275 (-0.366085) | 0.006357 / 0.007607 (-0.001250) | 0.462486 / 0.226044 (0.236442) | 4.634951 / 2.268929 (2.366022) | 2.309364 / 55.444624 (-53.135260) | 1.979521 / 6.876477 (-4.896956) | 2.080011 / 2.142072 (-0.062062) | 0.593086 / 4.805227 (-4.212141) | 0.124856 / 6.500664 (-6.375808) | 0.060172 / 0.075469 (-0.015297) |

### 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) | 1.251439 / 1.841788 (-0.590349) | 17.068999 / 8.074308 (8.994691) | 13.527209 / 10.191392 (3.335817) | 0.146636 / 0.680424 (-0.533788) | 0.016866 / 0.534201 (-0.517335) | 0.333202 / 0.579283 (-0.246081) | 0.360444 / 0.434364 (-0.073920) | 0.388378 / 0.540337 (-0.151959) | 0.530519 / 1.386936 (-0.856417) |

</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) | 0.006043 / 0.011353 (-0.005310) | 0.003612 / 0.011008 (-0.007396) | 0.062644 / 0.038508 (0.024135) | 0.056104 / 0.023109 (0.032995) | 0.446328 / 0.275898 (0.170430) | 0.478044 / 0.323480 (0.154564) | 0.004641 / 0.007986 (-0.003345) | 0.002896 / 0.004328 (-0.001432) | 0.062344 / 0.004250 (0.058093) | 0.046339 / 0.037052 (0.009287) | 0.454866 / 0.258489 (0.196377) | 0.484242 / 0.293841 (0.190401) | 0.028602 / 0.128546 (-0.099944) | 0.008075 / 0.075646 (-0.067571) | 0.067980 / 0.419271 (-0.351291) | 0.041339 / 0.043533 (-0.002194) | 0.452911 / 0.255139 (0.197772) | 0.474180 / 0.283200 (0.190981) | 0.019395 / 0.141683 (-0.122288) | 1.432161 / 1.452155 (-0.019993) | 1.505800 / 1.492716 (0.013083) |

### 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) | 0.216983 / 0.018006 (0.198977) | 0.406232 / 0.000490 (0.405743) | 0.005101 / 0.000200 (0.004902) | 0.000077 / 0.000054 (0.000022) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.026295 / 0.037411 (-0.011116) | 0.080490 / 0.014526 (0.065964) | 0.088105 / 0.176557 (-0.088451) | 0.143294 / 0.737135 (-0.593841) | 0.089125 / 0.296338 (-0.207213) |

### 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) | 0.465512 / 0.215209 (0.250302) | 4.648656 / 2.077655 (2.571002) | 2.598225 / 1.504120 (1.094105) | 2.409588 / 1.541195 (0.868393) | 2.513745 / 1.468490 (1.045255) | 0.507425 / 4.584777 (-4.077352) | 3.130164 / 3.745712 (-0.615548) | 2.836817 / 5.269862 (-2.433045) | 1.836029 / 4.565676 (-2.729647) | 0.058829 / 0.424275 (-0.365446) | 0.006551 / 0.007607 (-0.001056) | 0.537892 / 0.226044 (0.311848) | 5.401079 / 2.268929 (3.132150) | 3.019817 / 55.444624 (-52.424807) | 2.695131 / 6.876477 (-4.181346) | 2.805321 / 2.142072 (0.663248) | 0.595681 / 4.805227 (-4.209546) | 0.124368 / 6.500664 (-6.376296) | 0.060712 / 0.075469 (-0.014757) |

### 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) | 1.361508 / 1.841788 (-0.480279) | 17.811373 / 8.074308 (9.737065) | 14.482705 / 10.191392 (4.291313) | 0.153193 / 0.680424 (-0.527231) | 0.018347 / 0.534201 (-0.515854) | 0.330900 / 0.579283 (-0.248383) | 0.374948 / 0.434364 (-0.059416) | 0.385615 / 0.540337 (-0.154722) | 0.568077 / 1.386936 (-0.818859) |

</details>
</details>

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