Dataset · Hugging Face

MichiganNLP/TID-8

Name: TID-8
Creator: MichiganNLP
License: unknown
Keywords: task_categories:text-classification, task_ids:natural-language-inference, task_ids:sentiment-analysis, task_ids:hate-speech-detection, annotations_creators:crowdsourced, language_creators:other, multilinguality:monolingual, source_datasets:extended|other, language:en, license:unknown, size_categories:100K<n<1M, format:parquet, modality:text, library:datasets, library:pandas

Dataset Card for "TID-8" Dataset Summary TID-8 is a new aggregated benchmark focused on the task of letting models learn from data that has inherent disagreement proposed in link at Findings of EMNLP 2023. In the paper, we focus on the inherent disagreement and let the model directly learn from data that has such disagreement. We provide two split for TID-8. Annotation Split We split the annotations for each annotator into train and test set. In other words, the same set… See the full description on the dataset page: https://huggingface.co/datasets/MichiganNLP/TID-8.

View on Hugging FaceReport an issue

Author / organization	MichiganNLP
License (as declared)	unknown
Downloads	359 (as reported by Hugging Face)
Likes	4
Created	16 October 2023
Last updated at source	30 October 2023

tid8annotation disagreement

Embed this entry

<iframe src="https://silytics.si/embed/item/d949a65b-faad-492f-b34c-9166b071299b" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

More from MichiganNLP

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.