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T5 model for sentence splitting in English

Sentence Split is the task of dividing a long sentence into multiple sentences. E.g.:

Mary likes to play football in her freetime whenever she meets with her friends that are very nice people.

could be split into

Mary likes to play football in her freetime whenever she meets with her friends.
Her friends are very nice people.

How to use it in your code:

from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("flax-community/t5-large-wikisplit")
model = AutoModelForSeq2SeqLM.from_pretrained("flax-community/t5-large-wikisplit")
complex_sentence = "This comedy drama is produced by Tidy , the company she co-founded in 2008 with her husband David Peet , who is managing director ."
sample_tokenized = tokenizer(complex_sentence, return_tensors="pt")
answer = model.generate(sample_tokenized['input_ids'], attention_mask = sample_tokenized['attention_mask'], max_length=256, num_beams=5)
gene_sentence = tokenizer.decode(answer[0], skip_special_tokens=True)
gene_sentence
"""
Output:
This comedy drama is produced by Tidy. She co-founded Tidy in 2008 with her husband David Peet, who is managing director.
"""

Datasets:

Wiki_Split

Current Basline from paper

baseline

Our Results:

Model Exact SARI BLEU
t5-base-wikisplit 17.93 67.5438 76.9
t5-v1_1-base-wikisplit 18.1207 67.4873 76.9478
byt5-base-wikisplit 11.3582 67.2685 73.1682
t5-large-wikisplit 18.6632 68.0501 77.1881
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Dataset used to train flax-community/t5-large-wikisplit