From $1.50 usage-based · Free plan🇮🇱
Web data provider with proxy networks, scraper APIs, a hosted scraping browser and an AI tool that generates scrapers.
Best datasets for training and evaluating AI (October 2026)
This category lists open datasets that companies use to train, adapt or test AI models.
In this guide:16 toolsBefore you buyHow to choose datasets for training and evaluating AI (October 2026)Questions
16tools in this category
7countries with local strength
0can host data in the EU
How results are ranked: How we review
Results
Free🇭🇰🇨🇳
Chinese evaluation suite with 13,948 multiple-choice questions in 52 disciplines and four difficulty levels for foundation models.
Free🇫🇷
Open pretraining corpus of 2.27 trillion tokens from Pleias in Paris, containing only uncopyrighted or freely licensed documents.
Free🇺🇸
Hugging Face pretraining dataset of 1.3 trillion tokens of educational web pages, selected from Common Crawl by an AI quality classifier.
Free🇺🇸
Multilingual pretraining dataset from Hugging Face covering more than 1,000 languages, including a large German subset.
Free🇺🇸
OpenAI's set of 8,500 grade school math word problems with worked solutions, used to test multi-step reasoning of language models.
Free🇺🇸
Collaborative benchmark of 162 English legal reasoning tasks from 40 contributors, covering contracts, statutes and court opinions.
Free🇨🇦
Evaluation set of about 12,000 expert-reviewed multiple-choice questions with ten options each, used to compare language models.
Contact for pricing · Free planAvailable internationally
Free, open-source prompt library, formerly Awesome ChatGPT Prompts, available as a website, MCP server or self-hosted company library.
Free🇮🇳
Pretraining dataset of 251 billion tokens in 22 Indian languages from AI4Bharat at IIT Madras, with verified, filtered and translated parts.
Free🇺🇸
Benchmark that tests whether AI systems resolve real GitHub issues, with Verified, Lite, Multimodal, Multilingual and Bash Only boards.
Free🇺🇸
Instruction-tuning mix of 939,344 examples from the Allen Institute for AI, used to train the Tulu 3 models.
FreeAvailable internationally
Contract Understanding Atticus Dataset: 510 commercial contracts with 13,000+ lawyer-supervised labels for 41 clause types.
FreeAvailable internationally
Open-book question answering test on public company filings from Patronus AI, with an open sample of 150 annotated cases.
FreeAvailable internationally
LLM benchmark that adds new questions regularly and scores answers against objective ground truth, without an LLM judge.
FreeAvailable internationally
Open source robotics library from Hugging Face with pretrained policies, a common dataset format and a hardware interface.
How to choose datasets for training and evaluating AI (October 2026)
This category lists open datasets that companies use to train, adapt or test AI models. It is split into three areas: training data such as large web corpora and instruction sets, domain datasets from fields like law and finance, and evaluation data that measures how well a model answers questions or solves tasks. Each entry names the license, the maintaining organization and recent download figures from the Hugging Face Hub.
The AI connection is direct. Pretraining corpora teach a model language and knowledge, instruction sets turn a base model into an assistant, and evaluation sets show whether a model is good enough for a task before it reaches staff or customers. Some datasets were themselves filtered by AI, for example with a classifier that keeps only educational pages, or were extended with machine translation. Domain sets help legal, finance or service teams test a model on work that resembles their own.
Before you use a dataset, read its license. Some allow commercial use with attribution, others are limited to research or non-commercial use, and mixtures can contain subsets with different terms. Web data can include personal data and copyrighted text, which matters for data protection and for documentation duties under the EU AI Act. Check the language coverage too: many sets are English only, so German use needs extra data or tests.
Questions about datasets for training and evaluating AI (October 2026)
Can we use open datasets commercially?
Only if the license allows it. Licenses such as MIT, CC BY 4.0 or ODC-By permit commercial use with conditions, while CC BY-NC variants exclude it. Mixtures can combine several licenses, so check the source of each subset.
Why do evaluation datasets matter for buyers?
They let you compare models on the same questions before choosing one. Public results can be inflated when test questions leaked into training data, so add a few tests with your own tasks.
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