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Support dataset upsampling / relative ratio in PytorchTranslateTask (#657) #494
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…ytorch#494) Summary: Pull Request resolved: pytorch#494 Pull Request resolved: facebookresearch/fairseq#657 Library side change split from D14924942 Added 2 arguments for load_dataset in PytorchTranslateTask 1. dataset_upsampling. A nested dictionary {direction:{dataset: upsampling_ratio}}. Upsampling_ratio larger than one mean that the bitext is ob- served more often than actually present in the combined bitext and synthetic training corpus. 2. dataset_relative_ratio. A tuple (dataset, ratio). The ratio represents the frequency certain dataset gets sampled to the rest of corpora map. At most one of them could be specified. Differential Revision: D15041293 fbshipit-source-id: 3a15d8ca10f03cbf147bbcf56d385b358ca498ce
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…ytorch#494) Summary: Pull Request resolved: pytorch#494 Pull Request resolved: facebookresearch/fairseq#657 Library side change split from D14924942 Added 2 arguments for load_dataset in PytorchTranslateTask 1. dataset_upsampling. A nested dictionary {direction:{dataset: upsampling_ratio}}. Upsampling_ratio larger than one mean that the bitext is ob- served more often than actually present in the combined bitext and synthetic training corpus. 2. dataset_relative_ratio. A tuple (dataset, ratio). The ratio represents the frequency certain dataset gets sampled to the rest of corpora map. At most one of them could be specified. Reviewed By: liezl200 Differential Revision: D15041293 fbshipit-source-id: cb5bdcbac503e9f2ceaf058fec8c59e69a3ab4a2
…ytorch#494) Summary: Pull Request resolved: pytorch#494 Pull Request resolved: facebookresearch/fairseq#657 Library side change split from D14924942 Added 2 arguments for load_dataset in PytorchTranslateTask 1. dataset_upsampling. A nested dictionary {direction:{dataset: upsampling_ratio}}. Upsampling_ratio larger than one mean that the bitext is ob- served more often than actually present in the combined bitext and synthetic training corpus. 2. dataset_relative_ratio. A tuple (dataset, ratio). The ratio represents the frequency certain dataset gets sampled to the rest of corpora map. At most one of them could be specified. Reviewed By: liezl200 Differential Revision: D15041293 fbshipit-source-id: 9b91de4c8f6a3e99ae2118c6f486660e8a86c09c
cndn
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…acebookresearch#494) Summary: Pull Request resolved: pytorch/translate#494 Pull Request resolved: facebookresearch#657 Library side change split from D14924942 Added 2 arguments for load_dataset in PytorchTranslateTask 1. dataset_upsampling. A nested dictionary {direction:{dataset: upsampling_ratio}}. Upsampling_ratio larger than one mean that the bitext is ob- served more often than actually present in the combined bitext and synthetic training corpus. 2. dataset_relative_ratio. A tuple (dataset, ratio). The ratio represents the frequency certain dataset gets sampled to the rest of corpora map. At most one of them could be specified. Reviewed By: liezl200 Differential Revision: D15041293 fbshipit-source-id: b5eac5fadaf4fcaf32113fa8e3fe1a0bb3eae22d
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…494) Summary: Pull Request resolved: #494 Pull Request resolved: facebookresearch/fairseq#657 Library side change split from D14924942 Added 2 arguments for load_dataset in PytorchTranslateTask 1. dataset_upsampling. A nested dictionary {direction:{dataset: upsampling_ratio}}. Upsampling_ratio larger than one mean that the bitext is ob- served more often than actually present in the combined bitext and synthetic training corpus. 2. dataset_relative_ratio. A tuple (dataset, ratio). The ratio represents the frequency certain dataset gets sampled to the rest of corpora map. At most one of them could be specified. Reviewed By: liezl200 Differential Revision: D15041293 fbshipit-source-id: 92daad29895c234e26d1b19f121106118a3957ad
yzpang
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Feb 19, 2021
…#494) Summary: Pull Request resolved: pytorch/translate#494 Pull Request resolved: facebookresearch/fairseq#657 Library side change split from D14924942 Added 2 arguments for load_dataset in PytorchTranslateTask 1. dataset_upsampling. A nested dictionary {direction:{dataset: upsampling_ratio}}. Upsampling_ratio larger than one mean that the bitext is ob- served more often than actually present in the combined bitext and synthetic training corpus. 2. dataset_relative_ratio. A tuple (dataset, ratio). The ratio represents the frequency certain dataset gets sampled to the rest of corpora map. At most one of them could be specified. Reviewed By: liezl200 Differential Revision: D15041293 fbshipit-source-id: 92daad29895c234e26d1b19f121106118a3957ad
yzpang
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Feb 19, 2021
…#494) Summary: Pull Request resolved: pytorch/translate#494 Pull Request resolved: facebookresearch/fairseq#657 Library side change split from D14924942 Added 2 arguments for load_dataset in PytorchTranslateTask 1. dataset_upsampling. A nested dictionary {direction:{dataset: upsampling_ratio}}. Upsampling_ratio larger than one mean that the bitext is ob- served more often than actually present in the combined bitext and synthetic training corpus. 2. dataset_relative_ratio. A tuple (dataset, ratio). The ratio represents the frequency certain dataset gets sampled to the rest of corpora map. At most one of them could be specified. Reviewed By: liezl200 Differential Revision: D15041293 fbshipit-source-id: 92daad29895c234e26d1b19f121106118a3957ad
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Summary:
Pull Request resolved: facebookresearch/fairseq#657
Library side change split from D14924942
Added 2 arguments for load_dataset in PytorchTranslateTask
dataset_upsampling. A nested dictionary {direction:{dataset: upsampling_ratio}}. Upsampling_ratio larger than one mean that the bitext is ob- served more often than actually present in the combined bitext and synthetic training corpus.
dataset_relative_ratio. A tuple (dataset, ratio). The ratio represents the frequency certain dataset gets sampled to the rest of corpora map.
At most one of them could be specified.
Differential Revision: D15041293