ymcui/cmrc2018
A Span-Extraction Dataset for Chinese Machine Reading Comprehension (CMRC 2018)
This is a dataset for evaluating and improving systems that can read and understand Chinese text. It provides sets of questions and corresponding Chinese passages, where the task is to extract the exact answer from the passage. Researchers and developers working on natural language processing for Chinese would use this to build and test machine reading comprehension models.
451 stars. No commits in the last 6 months.
Use this if you are developing or evaluating machine reading comprehension models specifically for the Chinese language.
Not ideal if you are looking for a dataset in a language other than Chinese or for a different natural language processing task like translation or sentiment analysis.
Stars
451
Forks
87
Language
Python
License
CC-BY-SA-4.0
Category
Last pushed
Jun 15, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/ymcui/cmrc2018"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
princeton-nlp/DensePhrases
[ACL 2021] Learning Dense Representations of Phrases at Scale; EMNLP'2021: Phrase Retrieval...
thunlp/MultiRD
Code and data of the AAAI-20 paper "Multi-channel Reverse Dictionary Model"
IndexFziQ/KMRC-Papers
A list of recent papers regarding knowledge-based machine reading comprehension.
danqi/rc-cnn-dailymail
CNN/Daily Mail Reading Comprehension Task
intfloat/SimKGC
ACL 2022, SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models