ambiguity
chaos-mnli-ambiguityChaos NLI MNLI portion with gini coefficient pre-computed (from 0 to 1)
High gini means unambiguous inference.
@inproceedings{xzhou2022distnli,
Author = {Xiang Zhou and Yixin Nie and Mohit Bansal},
Booktitle = {Findings of the Association for Computational Linguistics: ACL 2022},
Publisher = {Association for Computational Linguistics},
Title = {Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning},
Year = {2022}
}
visually-dependent-ambiguity
VIDA: Visually-Dependent Ambiguity for Multimodal MT
VIDA is an English-Chinese multimodal machine translation dataset for visual ambiguity resolution.Each instance contains an English source sentence, its paired image, and Chinese references that resolve annotated ambiguity spans using visual evidence.
Paper: A Multimodal Dataset for Visually Grounded Ambiguity in Machine Translation
Dataset composition
This release contains four splits:
Split
Rows
Description… See the full description on the dataset page: https://huggingface.co/datasets/p1k0/visually-dependent-ambiguity.tram-ambiguity-responsesambiguity-casebook
Dual-Use Ambiguity Casebook
A 35-row, single-annotator research corpus for studying context-sensitive
adjudication in AI-mediated biology. Records follow one exact 21-field schema
and cover six descriptive categories.
This is a dataset release, not a model leaderboard, compliance tool, or
laboratory guide. Raw model responses, model-comparison results, live-provider
evaluation code, and adversarial failure-mode material are intentionally
excluded.
Dataset structure… See the full description on the dataset page: https://huggingface.co/datasets/jang1563/ambiguity-casebook.a2-rl-partial_ambiguityhttp-status-ambiguity-guide
HTTP Status Code Guide for Ambiguous API Scenarios
This dataset provides guidance on selecting appropriate HTTP status codes in common, yet ambiguous, API development situations. It helps developers make consistent and semantically correct choices, improving API predictability and client integration.
25 rows · category: reference · licence: CC0-1.0 (public domain)
Usage
import http_status_guide # Assuming the module is saved as http_status_guide.py
scenarios =… See the full description on the dataset page: https://huggingface.co/datasets/SharkSkin/http-status-ambiguity-guide.