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01ibm-research /Wikipedia_contradict_benchmark Wikipedia contradict benchmark Wikipedia contradict benchmark is a dataset consisting of 253 high-quality, human-annotated instances designed to assess LLM performance when augmented with retrieved passages containing real-world knowledge conflicts. The dataset was created intentionally with that task in mind, focusing on a benchmark consisting of high-quality, human-annotated instances. Dataset Details Dataset Description… See the full description on the dataset page: https://huggingface.co/datasets/ibm-research/Wikipedia_contradict_benchmark.textquestion-answeringn<1K28 likes793 downloads2y agoHugging Face02BrightData /Wikipedia-Articles Dataset Card for "BrightData/Wikipedia-Articles" Dataset Summary Explore a collection of millions of Wikipedia articles with the Wikipedia dataset, comprising over 1.23M structured records and 10 data fields updated and refreshed regularly. Each entry includes all major data points such as timestamp, URLs, article titles, raw and cataloged text, images, "see also" references, external links, and a structured table of contents. For a complete list of data points, please… See the full description on the dataset page: https://huggingface.co/datasets/BrightData/Wikipedia-Articles.texttext-classification100K<n<1M7 likes59 downloads2y agoHugging Face03orionai /en_wikipedia_001 Dataset Card for en_wikipedia_001 The en_wikipedia_001 dataset is a collection of crawled paragraph text from Wikipedia on the 28th of April, 2024. It contains high-quality text, stored in multiple documents, available to be used to finetune or train AI models based that the license is followed. Dataset Details The dataset was crawled using our web crawler on the 28th of April at an average of 1 page per second as to respect robots.txt rules. Strict licensing must be… See the full description on the dataset page: https://huggingface.co/datasets/orionai/en_wikipedia_001.textquestion-answeringn<1K2 likes34 downloads2y agoHugging Face04vitoghif /wikipedia-id-qna Wikipedia ID Synthetic QnA This dataset contains synthetic question-answer pairs (QnA) generated using DeepSeek from Indonesian Wikipedia articles. The data has been sourced from this Wikipedia dataset, which contains a subset of Indonesian Wikipedia articles. Each entry includes a context, a related question and answer pair, and an unrelated question. Dataset Structure The dataset contains the following columns: id: A unique identifier for each row. context: A… See the full description on the dataset page: https://huggingface.co/datasets/vitoghif/wikipedia-id-qna.textquestion-answeringn<1K1 likes18 downloads2y agoHugging Face05080-ai /20k_wikipedia_title_prompts Wikipedia Prompts Created by combining a gpt-4o-mini request from a Wikipedia's API function, this generated a short 75 word prompt. Along with the title from the randomly generated article. This current version has not been cleaned or pruned, so minor error in formating might exist, as well as duplications. Further versions will be numbered to show their improved formating. import requests import random import csv import time from openai import OpenAI from datetime import… See the full description on the dataset page: https://huggingface.co/datasets/080-ai/20k_wikipedia_title_prompts.textquestion-answering10K<n<100K2 likes11 downloads2y agoHugging Face

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