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All datasets matching “web”webshop-dataessential-web-v1.0
🌐 Essential-Web: Complete 24-Trillion Token Dataset
🏆 Website | 🖥️ Code | 📖 Paper | ☁️ AWS
📋 Dataset Description
Essential-Web is a 24-trillion-token web dataset with document-level metadata designed for flexible dataset curation. The dataset provides metadata including subject matter classification, web page type, content complexity, and document quality scores for each of the 23.6 billion documents.
Researchers can filter and curate specialized datasets… See the full description on the dataset page: https://huggingface.co/datasets/EssentialAI/essential-web-v1.0.WebVidCorpus-200B
WebOrganizer/Corpus-200B
[Paper] [Website] [GitHub]
This dataset is a pre-processed version of the 1b-1x CommonCrawl pool from DataComps-LM cleaned with
(1) RefinedWeb filters and
(2) BFF deduplication.
We provide the resulting 200B token corpus annotated with two quality scores, WebOrganizer domains, and k-means scores.
Download the dataset by cloning the repository with Git LFS instead of HuggingFace's load_dataset().
The dataset has the following folder structure:… See the full description on the dataset page: https://huggingface.co/datasets/WebOrganizer/Corpus-200B.weblinx-browsergym
WebLINX: Real-World Website Navigation with Multi-Turn Dialogue
Xing Han Lù*, Zdeněk Kasner*, Siva Reddy
💾Code
📄Paper
🌐Website
📓Colab
🤖Models💻Explorer
🐦Tweets
🏆Leaderboard
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This dataset was specifically created to allow WebLINX to be used inside the BrowserGym and Agentlab ecosystem. Please see the browsergym repository for more information.
[!NOTE]
The version associated with this library is WebLINX… See the full description on the dataset page: https://huggingface.co/datasets/McGill-NLP/weblinx-browsergym.open-web-math
Keiran Paster*, Marco Dos Santos*, Zhangir Azerbayev, Jimmy Ba
GitHub | ArXiv
| PDF
OpenWebMath is a dataset containing the majority of the high-quality, mathematical text from the internet. It is filtered and extracted from over 200B HTML files on Common Crawl down to a set of 6.3 million documents containing a total of 14.7B tokens. OpenWebMath is intended for use in pretraining and finetuninglarge language models.
You can download the dataset using Hugging Face:
from datasets import… See the full description on the dataset page: https://huggingface.co/datasets/open-web-math/open-web-math.