GraphCanon updated Oct 10, 2026 · GitHub synced Oct 10, 2026
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Decision brief
Decision-critical facts for BIG-bench
Good fit when
- When you need a comprehensive benchmark that evaluates language models across various tasks and includes methods for extrapolating model capabilities.
- When your project requires tools specifically designed to measure human-like understanding of AI models beyond mere imitation.
Avoid when
- If you are looking for a tool that simplifies benchmarking with minimal configuration, BIG-bench requires setting up an environment and can be more complex compared to streamlined benchmark tools.
- As BIG-bench relies on collaboration across various tasks and contributions from the community, it might not be ideal if you need benchmark tasks or evaluations immediately available without potential
- Requirements:
- Python 3.5-3.8 required.; `pytest` is necessary for running automated tests.
Observed Jul 11, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Archived (812d since push)
- As of Oct 10, 2026
- Provenance
- Not a fork · Organization account
- As of Oct 10, 2026
- Security (OSV)
- 324 low (324 low)
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Backing
Company context for Google. Display-only - separate from trust and ranking.
- Company
- Google·GitHub org profile·Jul 11, 2026
- Employees
- 47,756·Wikidata (P1128 employees)·Jul 11, 2026
- Commercial model
- Pure OSS·GitHub org profile (public repos)·Jul 11, 2026
Install
pip install BIG-benchSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models through various tasks and evaluation methods.
Capability facts
- Languages
- python
Source: github.language · Oct 10, 2026
Categories
Graph entities
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Tags
README
Quick start Colab notebooks Using SeqIO to inspect and evaluate BIG bench json tasks : load BIG bench json tasks and inspect examples <a href="https://colab.research.google.com/github/google/BIG bench/blob/main/bigbench/bbseqio/docs/quick start.ipynb" target=" parent" <img src="h...
For agents
This page has a .md twin and JSON over the API.