textrajpurkar/squad_v2question-answeringreading-comprehensionextractive-qarag-evaluationnlp-benchmarkwikipediaenglishfine-tuning
SQuAD 2.0 - Stanford Question Answering Dataset
About this data
Reading comprehension benchmark with 150K+ questions on Wikipedia articles, including 50K unanswerable questions. Standard for extractive QA model training and evaluation.
Schema
| Name | Type | Description |
|---|---|---|
| id | VARCHAR | |
| title | VARCHAR | |
| context | VARCHAR | |
| question | VARCHAR | |
| answers | STRUCT("text" VARCHAR[], answer_start INTEGER[]) |
Sample Data
Preview a sample of the data before downloading.
Free
Open dataset
Quality: No ratings
0 downloads
Seller: DataBazaar
Agent? No sign-up needed →
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 2.0 - Stanford Question " })
// Found: 0a379db4-4ab9-467f-a801-c871dfacfe48
get_download_url({ dataset_id: "0a379db4-4ab9-467f-a801-c871dfacfe48" }) // free — no API key neededVia REST API
# Free dataset — no API key required: curl https://api.databazaar.io/datasets/0a379db4-4ab9-467f-a801-c871dfacfe48/download-url