Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

fix tokenize_document() with slow tokenizer #34

Open
wants to merge 2 commits into
base: main
Choose a base branch
from
Open

fix tokenize_document() with slow tokenizer #34

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
e626582
add test_tokenize_document_with_slow_tokenizer()
ArneBinder Jan 11, 2024
dcb7330
add test_tokenize_document_with_slow_tokenizer_and_windowing()
ArneBinder Jan 11, 2024
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
26 changes: 26 additions & 0 deletions tests/document/processing/test_tokenization.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -643,3 +643,29 @@ def test_tokenize_document_partition(text_document, tokenizer):
(str(rel.head), rel.label, str(rel.tail)) for rel in tokenized_doc.relations
]
assert relation_tuples == [("('it',)", "per:founder", "('O',)")]


def test_tokenize_document_with_slow_tokenizer():
tokenizer = AutoTokenizer.from_pretrained("bert-base-cased", use_fast=False)
text_document = TextBasedDocument(text="Alice has a cat. Bob has a dog.")

tokenized_docs = tokenize_document(
text_document, tokenizer=tokenizer, result_document_type=TokenBasedDocument
)
assert len(tokenized_docs) == 1


def test_tokenize_document_with_slow_tokenizer_and_windowing():
tokenizer = AutoTokenizer.from_pretrained("bert-base-cased", use_fast=False)
text_document = TextBasedDocument(text="Alice has a cat. Bob has a dog.")

tokenized_docs = tokenize_document(
text_document,
tokenizer=tokenizer,
result_document_type=TokenBasedDocument,
max_length=5,
return_overflowing_tokens=True,
)
assert (
len(tokenized_docs) == 3
) # the input text gets tokenized into 12 tokens and max_length is 5
Loading