Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Languages:
Danish
Size:
< 1K
Tags:
conversational
KennethEnevoldsen
commited on
Commit
•
23efc67
1
Parent(s):
83b2aca
Create create.py
Browse files
create.py
ADDED
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from datasets import Dataset, load_dataset
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ds: Dataset = load_dataset("DDSC/partial-danish-gigaword-no-twitter") # type: ignore
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ds = ds["train"]
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# filter to only include spontaneous speech
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ds = ds.filter(lambda x: x["source"] == "spont", num_proc=6)
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texts = ds["text"]
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def remove_taler(text):
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if text.startswith("Taler"):
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text = text.split(":")[1:]
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text = ":".join(text)
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return text.strip()
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qa_pairs = []
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for text in texts:
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lines = text.split("\n")
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lines = [remove_taler(line) for line in lines]
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questions = [
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(i, text)
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for i, text in enumerate(lines)
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if len(text.split(" ")) > 7 and text.endswith("?")
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]
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qa_pairs_ = [{"question": lines[i], "answer": lines[i + 1]} for i, _ in questions]
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qa_pairs += qa_pairs_
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# filter qa pairs
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def get_length_of_pair(qa: dict):
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return len(qa["question"].split(" ")) + len(qa["answer"].split(" "))
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def get_min_length_of_pair(qa: dict):
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return min(len(qa["question"].split(" ")), len(qa["answer"].split(" ")))
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qa_pairs = [
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qa
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for qa in qa_pairs
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if get_length_of_pair(qa) < 20 and get_min_length_of_pair(qa) > 4
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]
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# create dataset
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qa_ds = Dataset.from_list(qa_pairs)
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# add readme
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qa_ds.info.description = """# Spontanous speech QA
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This dataset contains QA pairs from the spontaneous speech subsection of the Danish Gigaword.
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The dataset is created from the [DDSC dataset](DDSC/partial-danish-gigaword-no-twitter) and
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filtered to only include QA pairs where the question is less than 20 tokens and the answer is
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at least 4 tokens long.
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To find out more about the creation see the accompanying script.
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"""
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qa_ds.info.license = ds[0]["LICENSE"]
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qa_ds.info.dataset_name = "Spontanous Speech QA"
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# split dataset
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qa_ds = qa_ds.train_test_split(test_size=0.2)
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# upload dataset
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qa_ds.push_to_hub("spontanous-speech-qa")
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