textllmagentsbenchmarkinformation-retrievalevaluation

WideSearch — Agentic Broad Information-Seeking Benchmark

Category
Text
Records
200 rows
Format
PARQUET
Update Frequency
One-time snapshot
Collection Method
uploaded
PII
None detected
File Size
~0.12 MB
Downloads
0

About this data

A 200-instance benchmark for evaluating LLM-driven agents on broad, wide-coverage information-seeking tasks. Each instance provides a query, structured evaluation criteria, and language metadata for measuring agent search performance.

Schema

NameTypeDescription
instance_idVARCHAR
queryVARCHAR
evaluationVARCHAR
languageVARCHAR

Sample Data

Preview a sample of the data before downloading.

Free

Open dataset

Quality: No ratings
0 downloads
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: "WideSearch — Agentic Broad Inf" })
// Found: eeb5af00-37a0-4989-a039-36cff1d6b7bf
get_download_url({ dataset_id: "eeb5af00-37a0-4989-a039-36cff1d6b7bf" })  // free — no API key needed
Via REST API
# Free dataset — no API key required:
curl https://api.databazaar.io/datasets/eeb5af00-37a0-4989-a039-36cff1d6b7bf/download-url