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")
DataFrameBench
DataFrameBench
DataFrameBench is a dataframe-library-agnostic, test-backed code-generation benchmark derived
from BigCodeBench. It measures how well a
model can use whichever data-processing library it is told to use — pandas, polars, or anything
else — on identical problems.
Existing dataframe benchmarks are written for a library: the problem statement says "return a
DataFrame", the tests call assert_frame_equal. A polars solution then fails for reasons that have
nothing to do… See the full description on the dataset page: https://huggingface.co/datasets/itsluketwist/DataFrameBench.NYC-TAXI-Parquet-Dataframeptbr_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.ehr-multi-file-patient-samples
Built by DataFramer
DataFramer is an AI Workflow Intelligence Platform. Unify your AI traces,
user signals, and expert judgment into one loop — find accuracy failures,
diagnose root causes, and turn every fix into reusable business context that
makes every AI workflow more accurate, adopted, and valuable.
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README
This repository contains a 1000-strong synthetic EHR / patient histories dataset generated by DataFramer (AIMon Labs, Inc.) for… See the full description on the dataset page: https://huggingface.co/datasets/dataframer/ehr-multi-file-patient-samples.