Remove README link to deprecated Colab notebook

[mariosasko]

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[HuggingFaceDocBuilderDev]

The documentation is not available anymore as the PR was closed or merged.

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Show benchmarks

PyArrow==8.0.0

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)	0.006458 / 0.011353 (-0.004894)	0.003895 / 0.011008 (-0.007114)	0.084280 / 0.038508 (0.045772)	0.071304 / 0.023109 (0.048195)	0.313910 / 0.275898 (0.038012)	0.344070 / 0.323480 (0.020590)	0.005413 / 0.007986 (-0.002573)	0.003308 / 0.004328 (-0.001021)	0.064570 / 0.004250 (0.060320)	0.056824 / 0.037052 (0.019771)	0.321102 / 0.258489 (0.062613)	0.355834 / 0.293841 (0.061993)	0.031252 / 0.128546 (-0.097294)	0.008427 / 0.075646 (-0.067219)	0.287348 / 0.419271 (-0.131924)	0.053261 / 0.043533 (0.009728)	0.324892 / 0.255139 (0.069753)	0.335847 / 0.283200 (0.052647)	0.023453 / 0.141683 (-0.118230)	1.485456 / 1.452155 (0.033301)	1.531329 / 1.492716 (0.038612)

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)	0.201924 / 0.018006 (0.183918)	0.447188 / 0.000490 (0.446698)	0.005543 / 0.000200 (0.005343)	0.000086 / 0.000054 (0.000031)

Benchmark: benchmark_indices_mapping.json

metric	select	shard	shuffle	sort	train_test_split
new / old (diff)	0.027586 / 0.037411 (-0.009825)	0.082412 / 0.014526 (0.067886)	0.094851 / 0.176557 (-0.081706)	0.151331 / 0.737135 (-0.585804)	0.094475 / 0.296338 (-0.201863)

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)	0.399004 / 0.215209 (0.183795)	3.974652 / 2.077655 (1.896997)	1.991909 / 1.504120 (0.487789)	1.811684 / 1.541195 (0.270489)	1.869774 / 1.468490 (0.401283)	0.487745 / 4.584777 (-4.097032)	3.558945 / 3.745712 (-0.186768)	5.530468 / 5.269862 (0.260606)	3.293147 / 4.565676 (-1.272529)	0.057531 / 0.424275 (-0.366744)	0.007212 / 0.007607 (-0.000395)	0.470325 / 0.226044 (0.244281)	4.701652 / 2.268929 (2.432723)	2.453020 / 55.444624 (-52.991605)	2.110152 / 6.876477 (-4.766325)	2.314669 / 2.142072 (0.172597)	0.615039 / 4.805227 (-4.190189)	0.133229 / 6.500664 (-6.367435)	0.060821 / 0.075469 (-0.014648)

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)	1.296708 / 1.841788 (-0.545079)	18.717251 / 8.074308 (10.642943)	14.325305 / 10.191392 (4.133913)	0.147680 / 0.680424 (-0.532744)	0.018312 / 0.534201 (-0.515889)	0.392766 / 0.579283 (-0.186517)	0.403319 / 0.434364 (-0.031045)	0.453696 / 0.540337 (-0.086641)	0.622564 / 1.386936 (-0.764372)

PyArrow==latest

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)	0.006483 / 0.011353 (-0.004870)	0.004018 / 0.011008 (-0.006991)	0.064436 / 0.038508 (0.025928)	0.072365 / 0.023109 (0.049256)	0.387532 / 0.275898 (0.111634)	0.418175 / 0.323480 (0.094695)	0.005453 / 0.007986 (-0.002533)	0.003368 / 0.004328 (-0.000961)	0.064896 / 0.004250 (0.060645)	0.057018 / 0.037052 (0.019966)	0.406596 / 0.258489 (0.148107)	0.431194 / 0.293841 (0.137353)	0.031788 / 0.128546 (-0.096759)	0.008532 / 0.075646 (-0.067114)	0.070605 / 0.419271 (-0.348666)	0.053317 / 0.043533 (0.009785)	0.391930 / 0.255139 (0.136791)	0.406071 / 0.283200 (0.122872)	0.028652 / 0.141683 (-0.113030)	1.487677 / 1.452155 (0.035522)	1.546071 / 1.492716 (0.053355)

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)	0.220063 / 0.018006 (0.202056)	0.441111 / 0.000490 (0.440621)	0.006066 / 0.000200 (0.005867)	0.000084 / 0.000054 (0.000030)

Benchmark: benchmark_indices_mapping.json

metric	select	shard	shuffle	sort	train_test_split
new / old (diff)	0.035179 / 0.037411 (-0.002232)	0.096745 / 0.014526 (0.082219)	0.108171 / 0.176557 (-0.068386)	0.164590 / 0.737135 (-0.572545)	0.109425 / 0.296338 (-0.186913)

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)	0.408101 / 0.215209 (0.192892)	4.062961 / 2.077655 (1.985306)	2.101849 / 1.504120 (0.597730)	1.935919 / 1.541195 (0.394724)	1.993749 / 1.468490 (0.525259)	0.487788 / 4.584777 (-4.096989)	3.533972 / 3.745712 (-0.211740)	3.218448 / 5.269862 (-2.051414)	2.002322 / 4.565676 (-2.563355)	0.057371 / 0.424275 (-0.366904)	0.007704 / 0.007607 (0.000097)	0.491695 / 0.226044 (0.265650)	4.905009 / 2.268929 (2.636080)	2.597879 / 55.444624 (-52.846745)	2.252086 / 6.876477 (-4.624391)	2.434439 / 2.142072 (0.292367)	0.583071 / 4.805227 (-4.222156)	0.133765 / 6.500664 (-6.366899)	0.061276 / 0.075469 (-0.014193)

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)	1.403111 / 1.841788 (-0.438676)	19.218886 / 8.074308 (11.144578)	13.981775 / 10.191392 (3.790383)	0.167784 / 0.680424 (-0.512640)	0.018401 / 0.534201 (-0.515800)	0.392038 / 0.579283 (-0.187245)	0.414776 / 0.434364 (-0.019587)	0.476221 / 0.540337 (-0.064117)	0.632724 / 1.386936 (-0.754212)

[github-actions]

Show benchmarks

PyArrow==8.0.0

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)	0.007595 / 0.011353 (-0.003758)	0.004540 / 0.011008 (-0.006468)	0.099350 / 0.038508 (0.060842)	0.087062 / 0.023109 (0.063953)	0.415980 / 0.275898 (0.140082)	0.466390 / 0.323480 (0.142910)	0.005958 / 0.007986 (-0.002027)	0.003671 / 0.004328 (-0.000657)	0.075714 / 0.004250 (0.071463)	0.066062 / 0.037052 (0.029010)	0.426527 / 0.258489 (0.168038)	0.473282 / 0.293841 (0.179441)	0.035669 / 0.128546 (-0.092878)	0.009729 / 0.075646 (-0.065918)	0.344035 / 0.419271 (-0.075237)	0.061153 / 0.043533 (0.017620)	0.428607 / 0.255139 (0.173468)	0.445951 / 0.283200 (0.162752)	0.026373 / 0.141683 (-0.115310)	1.788725 / 1.452155 (0.336570)	1.871055 / 1.492716 (0.378339)

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)	0.230606 / 0.018006 (0.212600)	0.489835 / 0.000490 (0.489345)	0.005669 / 0.000200 (0.005469)	0.000100 / 0.000054 (0.000045)

Benchmark: benchmark_indices_mapping.json

metric	select	shard	shuffle	sort	train_test_split
new / old (diff)	0.032197 / 0.037411 (-0.005214)	0.099571 / 0.014526 (0.085045)	0.112686 / 0.176557 (-0.063871)	0.179478 / 0.737135 (-0.557658)	0.112670 / 0.296338 (-0.183668)

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)	0.449606 / 0.215209 (0.234397)	4.503356 / 2.077655 (2.425701)	2.190480 / 1.504120 (0.686361)	1.986054 / 1.541195 (0.444860)	2.071594 / 1.468490 (0.603104)	0.566301 / 4.584777 (-4.018475)	4.088460 / 3.745712 (0.342748)	4.840100 / 5.269862 (-0.429761)	2.857697 / 4.565676 (-1.707980)	0.066718 / 0.424275 (-0.357557)	0.008642 / 0.007607 (0.001034)	0.539785 / 0.226044 (0.313740)	5.383252 / 2.268929 (3.114323)	2.878177 / 55.444624 (-52.566447)	2.374577 / 6.876477 (-4.501899)	2.590500 / 2.142072 (0.448428)	0.675196 / 4.805227 (-4.130031)	0.153544 / 6.500664 (-6.347120)	0.070958 / 0.075469 (-0.004511)

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)	1.490403 / 1.841788 (-0.351385)	22.085740 / 8.074308 (14.011432)	16.588093 / 10.191392 (6.396701)	0.188598 / 0.680424 (-0.491826)	0.021567 / 0.534201 (-0.512634)	0.472594 / 0.579283 (-0.106689)	0.472903 / 0.434364 (0.038539)	0.545305 / 0.540337 (0.004968)	0.736399 / 1.386936 (-0.650537)

PyArrow==latest

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)	0.007635 / 0.011353 (-0.003718)	0.004731 / 0.011008 (-0.006277)	0.076482 / 0.038508 (0.037974)	0.083666 / 0.023109 (0.060557)	0.469596 / 0.275898 (0.193698)	0.493068 / 0.323480 (0.169588)	0.006014 / 0.007986 (-0.001971)	0.003902 / 0.004328 (-0.000426)	0.077142 / 0.004250 (0.072891)	0.064355 / 0.037052 (0.027303)	0.468859 / 0.258489 (0.210370)	0.504002 / 0.293841 (0.210161)	0.037606 / 0.128546 (-0.090940)	0.010141 / 0.075646 (-0.065505)	0.083790 / 0.419271 (-0.335482)	0.060923 / 0.043533 (0.017390)	0.464752 / 0.255139 (0.209613)	0.500464 / 0.283200 (0.217264)	0.031183 / 0.141683 (-0.110499)	1.779294 / 1.452155 (0.327139)	1.870848 / 1.492716 (0.378131)

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)	0.246567 / 0.018006 (0.228560)	0.477182 / 0.000490 (0.476693)	0.000426 / 0.000200 (0.000226)	0.000067 / 0.000054 (0.000013)

Benchmark: benchmark_indices_mapping.json

metric	select	shard	shuffle	sort	train_test_split
new / old (diff)	0.035377 / 0.037411 (-0.002034)	0.106042 / 0.014526 (0.091516)	0.119237 / 0.176557 (-0.057320)	0.182145 / 0.737135 (-0.554991)	0.119537 / 0.296338 (-0.176801)

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)	0.491352 / 0.215209 (0.276143)	4.824220 / 2.077655 (2.746565)	2.652039 / 1.504120 (1.147919)	2.535310 / 1.541195 (0.994116)	2.620009 / 1.468490 (1.151519)	0.567865 / 4.584777 (-4.016912)	4.158795 / 3.745712 (0.413082)	6.042582 / 5.269862 (0.772721)	3.957193 / 4.565676 (-0.608484)	0.066647 / 0.424275 (-0.357628)	0.008893 / 0.007607 (0.001285)	0.570137 / 0.226044 (0.344093)	5.687126 / 2.268929 (3.418198)	3.137605 / 55.444624 (-52.307019)	2.655979 / 6.876477 (-4.220498)	2.893338 / 2.142072 (0.751265)	0.698388 / 4.805227 (-4.106840)	0.154897 / 6.500664 (-6.345767)	0.071208 / 0.075469 (-0.004261)

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)	1.619346 / 1.841788 (-0.222441)	22.782510 / 8.074308 (14.708202)	16.317395 / 10.191392 (6.126003)	0.197630 / 0.680424 (-0.482794)	0.021795 / 0.534201 (-0.512406)	0.466982 / 0.579283 (-0.112302)	0.468609 / 0.434364 (0.034245)	0.574380 / 0.540337 (0.034043)	0.759827 / 1.386936 (-0.627109)