Comments (2)
working on something similar, please let me know if you find something
from seqio.
Do you just want to use all of the examples or do you want one task to come first followed by another? To do the first, set the following argument on the Mixture
constructor:
sample_fn = functools.partial(tf.data.Dataset.sample_from_datasets, stop_on_empty_dataset=False)
To do the second, you could probably do the following:
concat_fn = lambda a, b: a.concatenate(b)
...
sample_fn = lambda datasets, _, _: functools.reduce(concat_fn, datasets)
from seqio.
Related Issues (20)
- Please include installation instructions HOT 2
- import seqio
- how to decide ideal mixture rates ? HOT 1
- FunctionDataSource does not allow function with 3 positional arguments thus shuffling does not work HOT 2
- unable to train mt5 from t5x using mixtures ValueError: Dataset is missing an expected feature during input_validation validation: 'inputs' HOT 3
- Tokenizer is not behaving as expected on special tokens (doesn't recognize `pad` and `eos` tokens) HOT 1
- Using a registered task to add another HOT 1
- seqio 0.0.13 cannot be installed on Apple Silicon due to transitive tensorflow dependency of clu HOT 2
- How to apply the huggingface tokenizer in seqio.vocabulary
- Different preprocessors for each dataset split HOT 2
- import seqio: AttributeError: module 'typing' has no attribute 'get_origin' HOT 1
- caching tasks goes out of memory due to apache beam HOT 2
- How to choose minimum sequence length while avoiding truncation
- TfdsDataProvider gives error with non-None tfds_data_dir HOT 2
- Dataset performance
- seqio.get_mixture_or_task('bool_q_template_0_no_opt_five_shot') failed
- unimax sampling ?
- ValueError: mutable default <class 'seqio.vocabularies.PassThroughVocabulary'> for field vocabulary is not allowed: use default_factory HOT 3
- Unimax sampler implementation?
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from seqio.