preprocessing
results_indobert-large-p2_preprocessing_tuningresults_indobert-base-p2_preprocessing_tuningBERT_without_preprocessing_grid_searchresults_indobert-base-p2_with_preprocessingresults_indobert-base-p2_preprocessing_without_stopword_tuningBERT_with_preprocessing_grid_searchresults_indobert-large-p1_with_preprocessingresults_indobert-large-p2_preprocessing_aug_tuning
data-preprocessing-automl-benchmarks
Data Preprocessing AutoML Benchmarks
This repository contains text classification datasets with known data quality issues for preprocessing research in AutoML.
Usage
Load a specific dataset configuration like this:
from datasets import load_dataset
# Example for loading the TREC dataset
dataset = load_dataset("MothMalone/data-preprocessing-automl-benchmarks", "trec")
Available Datasets
Below are the details for each dataset configuration available in this… See the full description on the dataset page: https://huggingface.co/datasets/MothMalone/data-preprocessing-automl-benchmarks.Whisper_FineTuning_Su_preprocessingWhisper_FineTuning_Ko_preprocessingAI_HUB_DATASET_after_preprocessingsummarize_from_feedback_oai_preprocessing_1706381144
Dataset Card for "summarize_from_feedback_oai_preprocessing_1706381144"
More Information needed
summarize_from_feedback_tldr_3_filtered_oai_preprocessing_1706381144
TL;DR SFT Dataset for OpenAI's Summarize from Feedback task
The dataset is directly taken from https://github.com/openai/summarize-from-feedback/tree/700967448d10004279f138666442bf1497d0e705#reddit-tldr-dataset
These columns are taken directly from the aforementioned dataset:
id: unique identifier for the post
subreddit: subreddit the post was taken from
title: title of the post
post: body of the post
summary: summary of the post
reference_response: reference response for the post… See the full description on the dataset page: https://huggingface.co/datasets/vwxyzjn/summarize_from_feedback_tldr_3_filtered_oai_preprocessing_1706381144.