liar
Datasets
All datasets matching “liar”liars-bench
Liars' Bench
Liars' Bench is a benchmark for evaluating lie-detectors for language models. For details, see paper here.
It was generated by using...
four open-weight models: mistral-small-3.1-24b-instruct, llama-v3.3-70b-instruct, qwen-2.5-72b-instruct, gemma-3-27b-it
across seven datasets including a control dataset (Alpaca).
Our settings capture qualitatively different types of lies and vary along two dimensions:
the model's reason for lying
the object of belief targeted… See the full description on the dataset page: https://huggingface.co/datasets/Cadenza-Labs/liars-bench.Daily-OmniThis is the official dataset for Daily-Omni. Check code repository for instructions.
liarLIAR is a dataset for fake news detection with 12.8K human labeled short statements from politifact.com's API, and each statement is evaluated by a politifact.com editor for its truthfulness. The distribution of labels in the LIAR dataset is relatively well-balanced: except for 1,050 pants-fire cases, the instances for all other labels range from 2,063 to 2,638. In each case, the labeler provides a lengthy analysis report to ground each judgment.EVAttrs-95K
EVAttrs-95K
Introduction
This is the dataset proposed in EagleVision: Object-level Attribute Multimodal LLM for Remote Sensing.
This dataset contains detailed attributes of 95.1k objects across the ShipRSImageNet, MAR20 and FAIR1M datasets.
How to use
Each data entry in the dataset corresponds to an annotated image, identified by a unique img_id. Within each image, a list of objects (objs) is provided. Each object includes its class, ID, and a detailed caption… See the full description on the dataset page: https://huggingface.co/datasets/liarzone/EVAttrs-95K.liar2
LIAR2
The LIAR dataset has been widely followed by fake news detection researchers since its release, and along with a great deal of research, the community has provided a variety of feedback on the dataset to improve it. We adopted these feedbacks and released the LIAR2 dataset, a new benchmark dataset of ~23k manually labeled by professional fact-checkers for fake news detection tasks. We have used a split ratio of 8:1:1 to distinguish between the training set, the test set… See the full description on the dataset page: https://huggingface.co/datasets/chengxuphd/liar2.liarliar
Bangumi Image Base of Liar Liar
This is the image base of bangumi Liar Liar, we detected 61 characters, 4271 images in total. The full dataset is here.
Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual. If you intend to manually train models using this dataset, we recommend performing necessary preprocessing on the downloaded dataset to eliminate potential noisy samples (approximately 1% probability).
Here is the characters'… See the full description on the dataset page: https://huggingface.co/datasets/BangumiBase/liarliar.