Remove beam
Opened by albertvillanova (closed)

Remove beam, as part of the 3.0 release.

Comments:
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6987). 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) | 0.005931 / 0.011353 (-0.005422) | 0.004127 / 0.011008 (-0.006881) | 0.063854 / 0.038508 (0.025346) | 0.034687 / 0.023109 (0.011577) | 0.251397 / 0.275898 (-0.024501) | 0.280348 / 0.323480 (-0.043132) | 0.005008 / 0.007986 (-0.002977) | 0.002930 / 0.004328 (-0.001398) | 0.050703 / 0.004250 (0.046452) | 0.047109 / 0.037052 (0.010057) | 0.258525 / 0.258489 (0.000035) | 0.288759 / 0.293841 (-0.005081) | 0.030547 / 0.128546 (-0.097999) | 0.102184 / 0.075646 (0.026537) | 0.207934 / 0.419271 (-0.211338) | 0.036477 / 0.043533 (-0.007056) | 0.338160 / 0.255139 (0.083021) | 0.310735 / 0.283200 (0.027535) | 0.018637 / 0.141683 (-0.123045) | 1.228539 / 1.452155 (-0.223616) | 1.168004 / 1.492716 (-0.324713) |

### 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) | 0.098355 / 0.018006 (0.080348) | 0.302310 / 0.000490 (0.301820) | 0.000215 / 0.000200 (0.000015) | 0.000044 / 0.000054 (-0.000011) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.019607 / 0.037411 (-0.017804) | 0.063795 / 0.014526 (0.049269) | 0.075029 / 0.176557 (-0.101528) | 0.121293 / 0.737135 (-0.615842) | 0.076480 / 0.296338 (-0.219858) |

### 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) | 0.285285 / 0.215209 (0.070076) | 2.747455 / 2.077655 (0.669801) | 1.454190 / 1.504120 (-0.049929) | 1.330777 / 1.541195 (-0.210418) | 1.358292 / 1.468490 (-0.110198) | 0.724991 / 4.584777 (-3.859786) | 2.374889 / 3.745712 (-1.370823) | 2.985868 / 5.269862 (-2.283994) | 1.921521 / 4.565676 (-2.644156) | 0.078589 / 0.424275 (-0.345686) | 0.005104 / 0.007607 (-0.002503) | 0.333898 / 0.226044 (0.107853) | 3.317702 / 2.268929 (1.048773) | 1.887161 / 55.444624 (-53.557463) | 1.510700 / 6.876477 (-5.365777) | 1.544175 / 2.142072 (-0.597898) | 0.804262 / 4.805227 (-4.000965) | 0.134015 / 6.500664 (-6.366649) | 0.042819 / 0.075469 (-0.032650) |

### 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) | 1.012142 / 1.841788 (-0.829645) | 11.861780 / 8.074308 (3.787472) | 9.797285 / 10.191392 (-0.394107) | 0.142114 / 0.680424 (-0.538310) | 0.013984 / 0.534201 (-0.520217) | 0.302412 / 0.579283 (-0.276871) | 0.265060 / 0.434364 (-0.169304) | 0.337510 / 0.540337 (-0.202828) | 0.432197 / 1.386936 (-0.954739) |

</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) | 0.005920 / 0.011353 (-0.005433) | 0.003991 / 0.011008 (-0.007017) | 0.049874 / 0.038508 (0.011366) | 0.033771 / 0.023109 (0.010662) | 0.264789 / 0.275898 (-0.011109) | 0.287554 / 0.323480 (-0.035926) | 0.004341 / 0.007986 (-0.003644) | 0.002888 / 0.004328 (-0.001441) | 0.049383 / 0.004250 (0.045133) | 0.040757 / 0.037052 (0.003704) | 0.286067 / 0.258489 (0.027578) | 0.311105 / 0.293841 (0.017264) | 0.031482 / 0.128546 (-0.097064) | 0.012358 / 0.075646 (-0.063288) | 0.060298 / 0.419271 (-0.358973) | 0.033237 / 0.043533 (-0.010296) | 0.265804 / 0.255139 (0.010665) | 0.281273 / 0.283200 (-0.001927) | 0.017879 / 0.141683 (-0.123804) | 1.154059 / 1.452155 (-0.298096) | 1.156758 / 1.492716 (-0.335958) |

### 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) | 0.004677 / 0.018006 (-0.013329) | 0.300768 / 0.000490 (0.300278) | 0.000212 / 0.000200 (0.000013) | 0.000043 / 0.000054 (-0.000012) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.023032 / 0.037411 (-0.014379) | 0.077498 / 0.014526 (0.062973) | 0.089134 / 0.176557 (-0.087422) | 0.129691 / 0.737135 (-0.607444) | 0.091372 / 0.296338 (-0.204967) |

### 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) | 0.290823 / 0.215209 (0.075613) | 2.873159 / 2.077655 (0.795504) | 1.563361 / 1.504120 (0.059241) | 1.447048 / 1.541195 (-0.094147) | 1.490473 / 1.468490 (0.021983) | 0.715642 / 4.584777 (-3.869135) | 0.996223 / 3.745712 (-2.749489) | 2.861466 / 5.269862 (-2.408396) | 1.915581 / 4.565676 (-2.650096) | 0.077892 / 0.424275 (-0.346383) | 0.005463 / 0.007607 (-0.002144) | 0.339670 / 0.226044 (0.113626) | 3.412830 / 2.268929 (1.143902) | 1.908676 / 55.444624 (-53.535949) | 1.625358 / 6.876477 (-5.251119) | 1.769437 / 2.142072 (-0.372635) | 0.792505 / 4.805227 (-4.012722) | 0.133007 / 6.500664 (-6.367657) | 0.041305 / 0.075469 (-0.034164) |

### 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) | 0.986882 / 1.841788 (-0.854905) | 12.368101 / 8.074308 (4.293793) | 10.367439 / 10.191392 (0.176047) | 0.141248 / 0.680424 (-0.539176) | 0.016144 / 0.534201 (-0.518057) | 0.300962 / 0.579283 (-0.278321) | 0.126863 / 0.434364 (-0.307501) | 0.341107 / 0.540337 (-0.199230) | 0.439819 / 1.386936 (-0.947117) |

</details>
</details>

![](https://cml.dev/watermark.png#b2754625d45e153bd9758af40e65e7545321fc2a "CML watermark")