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update GLUE urls (now hosted on FB) (#626)
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@jeswan
jeswan authored Sep 16, 2020
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Show benchmarks

PyArrow==0.17.1

Show updated benchmarks!

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) 0.022583 / 0.011353 (0.011230) 0.015890 / 0.011008 (0.004882) 0.047287 / 0.038508 (0.008779) 0.033810 / 0.023109 (0.010701) 0.227905 / 0.275898 (-0.047993) 0.262862 / 0.323480 (-0.060618) 0.009709 / 0.007986 (0.001724) 0.004796 / 0.004328 (0.000467) 0.007244 / 0.004250 (0.002993) 0.044339 / 0.037052 (0.007287) 0.225388 / 0.258489 (-0.033101) 0.258457 / 0.293841 (-0.035384) 0.160974 / 0.128546 (0.032428) 0.138177 / 0.075646 (0.062530) 0.453205 / 0.419271 (0.033934) 0.590689 / 0.043533 (0.547156) 0.223962 / 0.255139 (-0.031177) 0.236938 / 0.283200 (-0.046261) 0.088531 / 0.141683 (-0.053152) 2.014055 / 1.452155 (0.561901) 2.021648 / 1.492716 (0.528932)

Benchmark: benchmark_indices_mapping.json

metric select shard shuffle sort train_test_split
new / old (diff) 0.040453 / 0.037411 (0.003042) 0.021827 / 0.014526 (0.007301) 0.029792 / 0.176557 (-0.146765) 0.093632 / 0.737135 (-0.643503) 0.070708 / 0.296338 (-0.225630)

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) 0.223725 / 0.215209 (0.008516) 2.267681 / 2.077655 (0.190026) 1.340617 / 1.504120 (-0.163503) 1.246941 / 1.541195 (-0.294254) 1.284870 / 1.468490 (-0.183620) 7.133372 / 4.584777 (2.548595) 6.080532 / 3.745712 (2.334820) 8.414922 / 5.269862 (3.145060) 7.333297 / 4.565676 (2.767621) 0.729447 / 0.424275 (0.305172) 0.012135 / 0.007607 (0.004528) 0.253153 / 0.226044 (0.027109) 2.752771 / 2.268929 (0.483843) 1.891170 / 55.444624 (-53.553455) 1.720168 / 6.876477 (-5.156309) 1.732116 / 2.142072 (-0.409956) 7.276891 / 4.805227 (2.471664) 5.871837 / 6.500664 (-0.628827) 8.893003 / 0.075469 (8.817534)

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) 331.752172 / 1.841788 (329.910384) 14.751716 / 8.074308 (6.677408) 16.014075 / 10.191392 (5.822683) 0.897119 / 0.680424 (0.216695) 0.312947 / 0.534201 (-0.221254) 0.844968 / 0.579283 (0.265685) 0.639188 / 0.434364 (0.204824) 0.804720 / 0.540337 (0.264383) 1.728883 / 1.386936 (0.341947)
PyArrow==1.0
Show updated benchmarks!

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) 0.019055 / 0.011353 (0.007702) 0.015755 / 0.011008 (0.004746) 0.050581 / 0.038508 (0.012073) 0.032475 / 0.023109 (0.009365) 0.383852 / 0.275898 (0.107954) 0.402606 / 0.323480 (0.079126) 0.010124 / 0.007986 (0.002138) 0.004534 / 0.004328 (0.000206) 0.007387 / 0.004250 (0.003136) 0.053647 / 0.037052 (0.016595) 0.378429 / 0.258489 (0.119940) 0.400620 / 0.293841 (0.106779) 0.160025 / 0.128546 (0.031478) 0.134725 / 0.075646 (0.059079) 0.464364 / 0.419271 (0.045093) 0.439143 / 0.043533 (0.395611) 0.367171 / 0.255139 (0.112032) 0.384708 / 0.283200 (0.101508) 0.099404 / 0.141683 (-0.042279) 2.035781 / 1.452155 (0.583627) 2.085739 / 1.492716 (0.593023)

Benchmark: benchmark_indices_mapping.json

metric select shard shuffle sort train_test_split
new / old (diff) 0.045941 / 0.037411 (0.008529) 0.022816 / 0.014526 (0.008290) 0.027450 / 0.176557 (-0.149106) 0.088278 / 0.737135 (-0.648857) 0.065295 / 0.296338 (-0.231043)

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) 0.292878 / 0.215209 (0.077669) 2.924101 / 2.077655 (0.846446) 2.025836 / 1.504120 (0.521716) 1.919333 / 1.541195 (0.378138) 1.985190 / 1.468490 (0.516699) 6.906188 / 4.584777 (2.321411) 5.902403 / 3.745712 (2.156691) 8.215520 / 5.269862 (2.945658) 7.272887 / 4.565676 (2.707211) 0.680600 / 0.424275 (0.256325) 0.011259 / 0.007607 (0.003652) 0.314920 / 0.226044 (0.088876) 3.326644 / 2.268929 (1.057715) 24.412762 / 55.444624 (-31.031862) 4.216476 / 6.876477 (-2.660001) 2.228383 / 2.142072 (0.086310) 6.921325 / 4.805227 (2.116098) 3.146921 / 6.500664 (-3.353743) 0.039908 / 0.075469 (-0.035562)

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) 326.042598 / 1.841788 (324.200810) 15.288928 / 8.074308 (7.214620) 16.782757 / 10.191392 (6.591365) 0.891837 / 0.680424 (0.211414) 0.619914 / 0.534201 (0.085713) 0.865915 / 0.579283 (0.286632) 0.656473 / 0.434364 (0.222109) 0.806992 / 0.540337 (0.266655) 1.770825 / 1.386936 (0.383888)

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