Omkar2118/datasets huggingface dataset:
CJRC
Full name: Chinese judicial reading comprehension

The Chinese judicial reading comprehension (CJRC) dataset contains approximately 10K documents and almost 50K questions with answers. The documents come from judgment documents and the questions are annotated by law experts. 

Source: [CJRC: A Reliable Human-Annotated Benchmark DataSet for Chinese Judicial Reading Comprehension](/paper/cjrc-a-reliable-human-annotated-benchmark)

Introducing paper: CJRC: A Reliable Human-Annotated Benchmark DataSet for Chinese Judicial Reading Comprehension
ACM
Full name: Association for Computing Machinery
Active Contour Model
algebraic collective model
and-Compare Module
Active Contour Models

The **ACM** dataset contains papers published in KDD, SIGMOD, SIGCOMM, MobiCOMM, and VLDB and are divided into three classes (Database, Wireless Communication, Data Mining). An heterogeneous graph is constructed, which comprises 3025 papers, 5835 authors, and 56 subjects. Paper features correspond to elements of a bag-of-words represented of keywords.

Source: [https://arxiv.org/pdf/1903.07293.pdf](https://arxiv.org/pdf/1903.07293.pdf)
FNC-1
Full name: Fake News Challenge Stage 1

**FNC-1** was designed as a stance detection dataset and it contains 75,385 labeled headline and article pairs. The pairs are labelled as either agree, disagree, discuss, and unrelated. Each headline in the dataset is phrased as a statement

Source: [Investigating Rumor News Using Agreement-Aware Search](https://arxiv.org/abs/1802.07398)
Image Source: [http://www.fakenewschallenge.org/](http://www.fakenewschallenge.org/)

Introducing paper: The fake news challenge: Exploring how artificial intelligence technologies could be leveraged to combat fake news