error-correction
p208p2002_-_bloom-1b1-zh-error-correction-dpo-ggufLlama-3.1-8B-Instruct-Grammatical-Error-Correction-2-GGUFgrammatical-error-correctionGoogle-T5-base-Grammatical_Error_Correction-Finetuned-C4-200M-550kmbart_bn_error_correctionurdu-asr-error-correction-tiny-aya-fireerror_correction_Bangla_keyboard_typing3bloom-1b1-zh-error-correction-dpo
text_error_correction文本纠错的相关数据
text_error_correction文本纠错的相关数据
red_ace_asr_error_detection_and_correction
RED-ACE
Dataset Summary
This dataset can be used to train and evaluate ASR Error Detection or Correction models. It was introduced in the RED-ACE paper (Gekhman et al, 2022).
The dataset contains ASR outputs on the LibriSpeech corpus (Panayotov et al., 2015) with annotated transcription errors.
Dataset Details
The LibriSpeech corpus was decoded using Google Cloud Speech-to-Text API, with the default and video models.
The word-level confidence was enabled… See the full description on the dataset page: https://huggingface.co/datasets/google/red_ace_asr_error_detection_and_correction.kurdish-kurmanji-grammar-error-correctionThis dataset is for developing and evaluating grammatical error correction (GEC) models,
like Grammarly, for Kurdish Kurmanji. Incorrect sentences were manually collected
from YouTube comment sections of Kurdish videos and X(Twitter) and Muzaffer Cıkay added their corrections.
The source videos are documented in the source.txt file.
Usage
from datasets import load_dataset
dataset = load_dataset("muzaffercky/kurdish-kurmanji-typo-correction", split="train")
print(dataset)
zhtw-sentence-error-correction
中文錯字糾正資料集
由規則與字典自維基百科產生的錯誤糾正資料集。
包含錯誤類型：隨機錯字、近似音錯字、缺字錯誤、冗字錯誤。
資料集使用函式庫: p208p2002/zh-mistake-text-gen
子集
alpha: 95%錯誤，5%不變。單句中可能有多個錯誤。
beta: 50%錯誤，50%不變。單句中僅有一個錯誤。
gamma: 100%錯誤。單句中可能有多個錯誤。
urdu-asr-error-correction-data
Urdu ASR Generative Error Correction Dataset
This dataset contains paired training and testing data for post-ASR error correction in Urdu.
Dataset Details
Language: Urdu (ur)
Task: ASR Error Correction
License: CC BY-NC 4.0
Dataset Structure
The dataset consists of parallel text pairs containing raw ASR transcripts generated by Whisper-large-v3-turbo alongside their corresponding target corrections (pseudo-gold).
train.jsonl / train.csv:… See the full description on the dataset page: https://huggingface.co/datasets/sajjadiba/urdu-asr-error-correction-data.