textrajpurkar/squadquestion-answeringreading-comprehensionextractive-qanlpbenchmarkwikipediaenglishrag-eval
SQuAD 1.1 — Stanford Question Answering Dataset
About this data
100K+ crowdsourced question-answer pairs on Wikipedia passages. Canonical extractive QA benchmark for reading comprehension, RAG eval, and fine-tuning.
Schema
| Name | Type | Description |
|---|---|---|
| id | VARCHAR | Unique alphanumeric identifier for the question-answer pair. |
| title | VARCHAR | Wikipedia article title from which the passage was sourced. |
| context | VARCHAR | Full text passage from Wikipedia containing the answer. |
| question | VARCHAR | Natural language question crowdsourced by annotators. |
| answers | STRUCT("text" VARCHAR[], answer_start INTEGER[]) | Array of acceptable answer strings and their character offsets within the context. |
Sample Data
Preview a sample of the data before downloading.
Free
Open dataset
Quality: No ratings
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Seller: DataBazaar
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For AI Agents
Via MCP Server
# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
"mcpServers": {
"databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
}
}
# 2. Your agent can then call:
search_datasets({ query: "SQuAD 1.1 — Stanford Question " })
// Found: 23152e83-2af2-4c0a-9f85-e53f5f9a83ae
get_download_url({ dataset_id: "23152e83-2af2-4c0a-9f85-e53f5f9a83ae" }) // free — no API key neededVia REST API
# Free dataset — no API key required: curl https://api.databazaar.io/datasets/23152e83-2af2-4c0a-9f85-e53f5f9a83ae/download-url