text-correct
text_error_correction文本纠错的相关数据
chinese_text_correction
Dataset Card
中文真实场景文本纠错数据集,包括拼写纠错、语法纠错、校对数据。
Repository: shibing624/pycorrector
Dataset Summary
拼写纠错数据
lemon_*.tsv:各领域拼写纠错数据集,包括汽车、医疗、新闻、游戏等领域,来自 https://github.com/gingasan/lemon/tree/main/lemon_v2
ec_*.tsv:法律、医学、政府领域拼写纠错数据集,来自 https://github.com/aopolin-lv/ECSpell/tree/main/Data/domains_data
medical_csc.tsv :医学领域拼写纠错数据集,来自 https://github.com/yzhihao/MCSCSet/tree/main/data/mcsc_benchmark_dataset… See the full description on the dataset page: https://huggingface.co/datasets/shibing624/chinese_text_correction.text_error_correction文本纠错的相关数据
preference_data_llama_factory_corrected_format_text_onlySLT-Task1-Post-ASR-Text-Correction
Dataset Name: Pilot dataset for Multi-domain ASR corrections
Description
This dataset is a pilot version of a larger dataset for automatic speech recognition (ASR) corrections across multiple domains.
It contains paired hypotheses and corrected transcriptions for various ASR tasks consolidated from PeacefulData/HyPoradise-v0
Structure
Data Split
The dataset is divided into training and test splits:
Training Data: 281,082 entries
Approximately 6,255… See the full description on the dataset page: https://huggingface.co/datasets/GenSEC-LLM/SLT-Task1-Post-ASR-Text-Correction.ICDAR_2019_Competition_Post-OCR_Text_Correction
[!NOTE]
Dataset origin: https://zenodo.org/records/3515403
Corpus for the ICDAR2019 Competition on Post-OCR Text Correction (October 2019)
=> Website: http://l3i.univ-larochelle.fr/ICDAR2019PostOCR
Description:
The corpus accounts for 22M OCRed characters along with the corresponding Gold Standard (GS). The documents come from different digital collections available, among others, at the National Library of France (BnF) and the British Library (BL). The corresponding GS… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/ICDAR_2019_Competition_Post-OCR_Text_Correction.
