Created
July 29, 2022 08:33
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Convert at dataset stored as a pandas dataframe to a Hugging Face DatasetDict.
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import pandas as pd | |
from datasets import Dataset, DatasetDict | |
def dataframe_to_huggingface_dataset(df: pd.DataFrame) -> DatasetDict: | |
"""Convert at dataframe with split column into Hugging Face DatasetDict. | |
Args: | |
df (pd.DataFrame): Dataset stored in a pandas dataframe with a | |
column named "split" that tells what split a datapoint belongs to. | |
Example: | |
text label split | |
0 Drama i X Factor: Teknik ødelægger optræden – ... flash train | |
1 Hjemvendt Superliga-profil vil lægge stilen om... sport train | |
2 Voldsom lejlighedsbrand: Tre opgange evakueret... 112 val | |
3 Storbritannien: Forældre får livstid for æresd... 112 train | |
4 Slut med Payet og Martial: EU-exit kan smadre ... sport test | |
Returns: | |
DatasetDict: Dataset wrapped in a Hugging Face dataset dictionary. | |
""" | |
assert isinstance(df, pd.DataFrame), "df is required to be a pandas dataframe :(" | |
assert "split" in df, "Dataframe is required to have a column named 'split'." | |
ds = DatasetDict() | |
splits = df["split"].unique().tolist() | |
for split in splits: | |
ds[split] = Dataset.from_pandas(df.loc[df["split"] == split], split=split, preserve_index=False) | |
return ds |
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