Omkar2118/datasets huggingface dataset:
CMRC 2019
Full name: Chinese Machine Reading Comprehension 2019

**CMRC 2019** is a Chinese Machine Reading Comprehension dataset that was used in The Third Evaluation Workshop on Chinese Machine Reading Comprehension. Specifically, CMRC 2019 is a sentence cloze-style machine reading comprehension dataset that aims to evaluate the sentence-level inference ability.

Source: [http://ymcui.com/cmrc2019/](http://ymcui.com/cmrc2019/)

Introducing paper: A Sentence Cloze Dataset for Chinese Machine Reading Comprehension
CMU DoG
Full name: CMU Document Grounded Conversations Dataset

This is a document grounded dataset for text conversations. "Document Grounded Conversations" are conversations that are about the contents of a specified document. In this dataset the specified documents are Wikipedia articles about popular movies. The dataset contains 4112 conversations with an average of 21.43 turns per conversation.

Source: [https://github.com/festvox/datasets-CMU_DoG](https://github.com/festvox/datasets-CMU_DoG)
Image Source: [https://arxiv.org/pdf/1809.07358v1.pdf](https://arxiv.org/pdf/1809.07358v1.pdf)

Introducing paper: A Dataset for Document Grounded Conversations
CN-CELEB

CN-Celeb is a large-scale speaker recognition dataset collected `in the wild'. This dataset contains more than 130,000 utterances from 1,000 Chinese celebrities, and covers 11 different genres in real world.

Source: [CN-CELEB: a challenging Chinese speaker recognition dataset](/paper/cn-celeb-a-challenging-chinese-speaker)

Introducing paper: CN-CELEB: a challenging Chinese speaker recognition dataset