dataframe
meerkat-dataframes
imagenette-160px-facebook-convnext-tiny-224.mk.tar.gz
data = mk.get("imagenette", version="160px")
df =
mk.DataFrame.read("https://huggingface.co/datasets/meerkat-ml/meerkat-dataframes/resolve/main/imagenette-160px-facebook-convnext-tiny-224.mk.tar.gz")
df = data.merge(df[["img_id", "logits", "pred"]], on="img_id")
ptbr_tracka_dataframe_folds_train_testdataframeQAThe dataset comprises 547 natural language questions, each accompanied by a corresponding pandas query that provides the answer. This dataset was sourced from GitHub and subsequently preprocessed. During preprocessing, duplicate entries were removed, along with questions that involved graphical representations or machine learning models. Only instances containing pandas code were retained.
@article{ye2024dataframe,
title={DataFrame QA: A Universal LLM Framework on DataFrame Question… See the full description on the dataset page: https://huggingface.co/datasets/serguntsov/dataframeQA.dataframer_text_to_sqlNYC-TAXI-Parquet-DataframeHDM-Bench
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