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from datasets import Dataset, DatasetDict
from spacy.tokens import DocBin
import spacy
def convert_spacy_docs_to_hf_entry(doc) -> dict:
return doc.to_json()
train = "/Users/au561649/Github/DaCy/training/dane_plus/train.spacy"
dev = "/Users/au561649/Github/DaCy/training/dane_plus/dev.spacy"
test = "/Users/au561649/Github/DaCy/training/dane_plus/test.spacy"
nlp = spacy.blank("da")
train_docs = list(DocBin().from_disk(train).get_docs(nlp.vocab))
dev_docs = list(DocBin().from_disk(dev).get_docs(nlp.vocab))
test_docs = list(DocBin().from_disk(test).get_docs(nlp.vocab))
# my_list = [{"a": 1}, {"a": 2}, {"a": 3}]
# dataset = Dataset.from_list(my_list)
train_dataset = Dataset.from_list([convert_spacy_docs_to_hf_entry(doc) for doc in train_docs])
dev_dataset = Dataset.from_list([convert_spacy_docs_to_hf_entry(doc) for doc in dev_docs])
test_dataset = Dataset.from_list([convert_spacy_docs_to_hf_entry(doc) for doc in test_docs])
dataset_dict = DatasetDict({"train": train_dataset, "dev": dev_dataset, "test": test_dataset})
dataset_dict.push_to_hub("dane_plus")
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