flair.datasets.biomedical.SCAI_CHEMICALS#
- class flair.datasets.biomedical.SCAI_CHEMICALS(*args, **kwargs)View on GitHub#
Bases:
ScaiCorpus
Original SCAI chemicals corpus containing chemical annotations.
For further information see Kolářik et al.: Chemical Names: Terminological Resources and Corpora Annotation https://pub.uni-bielefeld.de/record/2603498
Deprecated since version 0.13.0: Please use data set implementation from BigBio instead (see BIGBIO_NER_CORPUS)
- __init__(*args, **kwargs)View on GitHub#
Initialize the SCAU corpus.
- Parameters:
base_path – Path to the corpus on your machine
in_memory – If True, keeps dataset in memory giving speedups in training.
sentence_splitter – Implementation of
SentenceSplitter
which segments documents into sentences and tokens (defaultSciSpacySentenceSplitter
)
Methods
__init__
(*args, **kwargs)Initialize the SCAU corpus.
add_label_noise
(label_type, labels[, ...])Generates uniform label noise distribution in the chosen dataset split.
download_corpus
(data_dir)downsample
([percentage, downsample_train, ...])Randomly downsample the corpus to the given percentage (by removing data points).
filter_empty_sentences
()A method that filters all sentences consisting of 0 tokens.
filter_long_sentences
(max_charlength)A method that filters all sentences for which the plain text is longer than a specified number of characters.
get_all_sentences
()Returns all sentences (spanning all three splits) in the
Corpus
.get_label_distribution
()Counts occurrences of each label in the corpus and returns them as a dictionary object.
make_label_dictionary
(label_type[, ...])Creates a dictionary of all labels assigned to the sentences in the corpus.
make_tag_dictionary
(tag_type)Create a tag dictionary of a given label type.
make_vocab_dictionary
([max_tokens, min_freq])Creates a
Dictionary
of all tokens contained in the corpus.obtain_statistics
([label_type, pretty_print])Print statistics about the corpus, including the length of the sentences and the labels in the corpus.
parse_input_file
(input_file)perform_corpus_download
(data_dir)Attributes
dev
The dev split as a
torch.utils.data.Dataset
object.test
The test split as a
torch.utils.data.Dataset
object.train
The training split as a
torch.utils.data.Dataset
object.- download_corpus(data_dir)View on GitHub#
- Return type:
Path
- static perform_corpus_download(data_dir)View on GitHub#
- Return type:
Path