coedit
Datasets
All datasets matching “coedit”coedit
Dataset Card for CoEdIT: Text Editing via Instruction Tuning
Paper: CoEdIT: Text Editing by Task-Specific Instruction Tuning
Authors: Vipul Raheja, Dhruv Kumar, Ryan Koo, Dongyeop Kang
Project Repo: https://github.com/vipulraheja/coedit
Dataset Summary
This is the dataset that was used to train the CoEdIT text editing models. Full details of the dataset can be found in our paper.
Dataset Structure
The dataset is in JSON format.… See the full description on the dataset page: https://huggingface.co/datasets/grammarly/coedit.coedit-multilingual
CoEdIT Multilingual
A multilingual text-editing dataset for evaluating instruction-following edit models
(grammar correction, paraphrase, simplification, neutralization, coherence, clarity)
plus operational speech-transcript edits (translation, number/punctuation formatting,
filler removal, summarization, formalize/casualize, abbreviation expansion).
Construction
English: the original grammarly/coedit (train + validation).
Translated (de, es, fr, it, pt, nl, zh… See the full description on the dataset page: https://huggingface.co/datasets/jacekduszenko/coedit-multilingual.coedit-reworded-deduped
BEE-spoke-data/coedit-reworded-deduped
Minhash deduplication on the target column. Source data from coedit-reworded
load
from datasets import load_dataset
dataset = load_dataset("BEE-spoke-data/coedit-reworded-deduped", revision="refs/convert/parquet")
dataset
output:
DatasetDict({
train: Dataset({
features: ['task', 'id', 'original_instruction', 'instruction', 'input', 'output'],
num_rows: 79943
})
})
Citation
Original dataset… See the full description on the dataset page: https://huggingface.co/datasets/BEE-spoke-data/coedit-reworded-deduped.CoEdit-AlpacaAn Alpaca instruction conversion of Grammarly's CoEdIT dataset.
r2_coedit
Dataset Card for "r2_coedit"
More Information needed
r2_coedit_iter
Dataset Card for "r2_coedit_iter"
More Information needed