rumour
Datasets
All datasets matching “rumour”rumoureval_2019
Stance prediction task in English. The goal is to predict whether a given reply to a claim either supports, denies, questions, or simply comments on the claim. Ran as a SemEval task in 2019.tenders
Indian Government Tenders and Awards Dataset
A dataset of tenders and awards scraped from the Central Public Procurement Portal (CPPP) of India. Data sourced from https://tender.sarthaksidhant.com/ and then joined and converted to parquet via https://gist.github.com/rhnvrm/8060dedb15ae592dae492ec62f725c0c.
Using the dataset
from datasets import load_dataset
data = load_dataset("rumourscape/tenders")
Acknowledgements
Sarthak Siddhant for scraping… See the full description on the dataset page: https://huggingface.co/datasets/rumourscape/tenders.presto-rumour-claims
PRESTO Corpus — Rumour Claims from 19th-Century British Newspapers
7,460 rumour claims automatically extracted from 19th-century British newspapers, plus a
200-row hand-adjudicated evaluation sample.
The source material is the British Library's Heritage Made Digital newspaper collection —
the same corpus published as biglam/hmd_newspapers.
PRESTO (Pattern-based Rumour Extraction with Semantic Tracking) applies dependency-pattern
matching to find and structure rumoured… See the full description on the dataset page: https://huggingface.co/datasets/biglam/presto-rumour-claims.longitudinal_rumour_stance_2017
Dataset Details
The Longitudinal Rumour Stance (LRS) is a longitudinal version of the RumourEval-2017 dataset. It consists of Twitter conversations around
newsworthy events. The source tweet of the conversation conveys a rumourous claim, discussed by tweets in the stream. In 325 conversations, a total of 5,568
posts are labelled based on their stance towards the rumourous claim in the corresponding source tweet as either Supporting, Denying, Questioning or Commenting.
We convert… See the full description on the dataset page: https://huggingface.co/datasets/ttseriotou/longitudinal_rumour_stance_2017.Rumour_Eval_llamaRumour_Eval_llama_top1000