Class IWSLT2017Dataset
Defined in File datasets.h
Inheritance Relationships
Base Type
public mindspore::dataset::Dataset
(Class Dataset)
Class Documentation
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class IWSLT2017Dataset : public mindspore::dataset::Dataset
A source dataset for reading and parsing IWSLT2017 dataset.
Public Functions
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IWSLT2017Dataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage, const std::vector<std::vector<char>> &language_pair, int64_t num_samples, ShuffleMode shuffle, int32_t num_shards, int32_t shard_id, const std::shared_ptr<DatasetCache> &cache)
Constructor of IWSLT2017Dataset.
Note
The generated dataset has two columns [“text”, “translation”].
- Parameters
dataset_dir – [in] Path to the root directory that contains the dataset.
usage – [in] Part of dataset of IWSLT2017, can be “train”, “valid”, “test” or “all”.
language_pair – [in] List containing src and tgt language.
num_samples – [in] The number of samples to be included in the dataset.
shuffle – [in] The mode for shuffling data every epoch. Can be any of: ShuffleMode::kFalse - No shuffling is performed. ShuffleMode::kFiles - Shuffle files only. ShuffleMode::kGlobal - Shuffle both the files and samples.
num_shards – [in] Number of shards that the dataset should be divided into.
shard_id – [in] The shard ID within num_shards. This argument should be specified only when num_shards is also specified.
cache – [in] Tensor cache to use.
- Returns
Shared pointer to the IWSLT2017Dataset.
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~IWSLT2017Dataset() override = default
Destructor of IWSLT2017Dataset.
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IWSLT2017Dataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage, const std::vector<std::vector<char>> &language_pair, int64_t num_samples, ShuffleMode shuffle, int32_t num_shards, int32_t shard_id, const std::shared_ptr<DatasetCache> &cache)