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| # Copyright 2022 Google. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| """Add Tasks to registry.""" | |
| import functools | |
| from transformer import text_dataset | |
| import seqio | |
| import t5.data | |
| from t5.data import preprocessors | |
| import tensorflow as tf | |
| TaskRegistry = seqio.TaskRegistry | |
| def define_pg19_task(name: str, vocab: seqio.Vocabulary): | |
| seqio.TaskRegistry.add( | |
| name, | |
| seqio.TfdsDataSource( | |
| tfds_name="pg19:0.1.1" | |
| ), | |
| preprocessors=[ | |
| functools.partial(text_dataset.rekey_articles, | |
| rekey={"book_text": "targets"}, | |
| keep={"book_title", "book_id", "publication_date"}), | |
| seqio.preprocessors.tokenize, | |
| ], | |
| output_features={ | |
| "targets": seqio.Feature(vocab, | |
| add_eos=False, dtype=tf.int32), | |
| } | |
| ) | |
| T5_DEFAULT_VOCABULARY = t5.data.get_default_vocabulary() | |
| define_pg19_task("pg19_bytes", seqio.ByteVocabulary()) | |
| define_pg19_task("pg19_tokens", T5_DEFAULT_VOCABULARY) | |