Omkar2118/datasets huggingface dataset:
CLINC-Single-Domain-OOS

A dataset with two separate domains, i.e., the  "Banking''  domain and the "Credit cards''  domain with both general Out-of-Scope (OOD-OOS) queries and In-Domain but Out-of-Scope (ID-OOS) queries, where ID-OOS queries are semantically similar intents/queries with in-scope intents. Each domain in CLINC150 originally includes 15 intents. Each domain includes ten in-scope intents in this dataset, and the ID-OOS queries are built up based on five held-out in-scope intents.

Can be used to conduct intent detection with and without OOD-OOS and ID-OOS queries

Introducing paper: Are Pretrained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection
BANKING77-OOS

A dataset with a single banking domain, includes both general Out-of-Scope (OOD-OOS) queries and In-Domain but Out-of-Scope (ID-OOS) queries, where ID-OOS queries are semantically similar intents/queries with in-scope intents.  BANKING77 originally includes 77 intents. BANKING77-OOS includes 50 in-scope intents in this dataset, and the ID-OOS queries are built up based on 27 held-out in-scope intents.

Conduct intent detection with and without OOD-OOS and ID-OOS queries

Introducing paper: Are Pretrained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection
IndiaPoliceEvents

**IndiaPoliceEvents** is a corpus of 21,391 sentences from 1,257 English-language Times of India articles about events in the state of Gujarat during March 2002. This dataset is used for automated event extraction.

Introducing paper: Corpus-Level Evaluation for Event QA: The IndiaPoliceEvents Corpus Covering the 2002 Gujarat Violence
Multilingual TOP

**Multilingual TOP** is a dataset for multilingual semantic parsing with human-written sentences as opposed to machine translated ones. The dataset sentences are in English, Italian and Japanese and it is based on the Facebook Task Oriented Parsing (TOP) dataset.

Introducing paper: Multilingual Neural Semantic Parsing for Low-Resourced Languages
MultiOpEd

**MultiOpEd** is a corpus of multi-perspective news editorials. It is an open-domain news editorial corpus that supports various tasks pertaining to the argumentation structure in news editorials, focusing on automatic perspective discovery. News editorial is a genre of persuasive text, where the argumentation structure is usually implicit. However, the arguments presented in an editorial typically center around a concise, focused thesis, which we refer to as their perspective. MultiOpEd aims at supporting the study of multiple tasks relevant to automatic perspective discovery, where a system is expected to produce a single-sentence thesis statement summarizing the arguments presented.

Introducing paper: MultiOpEd: A Corpus of Multi-Perspective News Editorials
S_B_D
Full name: Synthetic Barcode Dataset

100,000 LR synthetic barcode datasets along with their corresponding bounding boxes ground truth masks.

100,000 UHR synthetic barcode datasets along with their corresponding bounding boxes ground truth masks.

Introducing paper: Fast, Accurate Barcode Detection in Ultra High-Resolution Images
Date Estimation in the Wild

~1M Flickr images from the XX century-aged from the 1910s to 1990s.
Dataset was introduced by Müller et al. and can be found  https://www.radar-service.eu/radar/en/dataset/tJzxrsYUkvPklBOw