IndustryBench
A multi-lingual benchmark for evaluating industrial domain knowledge of LLMs
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
IndustryBench is a multi-lingual benchmark for assessing the industrial domain knowledge of LLMs, grounded in Chinese national standards and structured industrial product records.
Good fit when
- When evaluating LLM performance on industry-specific inquiries across English, Russian, Vietnamese, and source Chinese content
- If requiring detailed capability and difficulty dimensions aligned with 10 industry categories, enabling nuanced model comparison
Avoid when
- If the focus is solely on natural language understanding without a specific industrial knowledge requirement
- For benchmarking models where non-Chinese national standard data sources are preferred over GB/T excerpts and structured records
Observed Jul 14, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (96d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 20, 2026
- Security (OSV)
- 4 medium, 3 low (4 medium, 3 low)
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install IndustryBenchSimilar 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
IndustryBench is a dataset that evaluates the industrial knowledge boundaries of language models across multiple languages and includes human-reviewed translations tied to Chinese national standards or structured industrial product records.
Capability facts
- Languages
- python
Source: github.language · Sep 20, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 20, 2026)
```python from datasets import load_datasetSource link
Tags
README
IndustryBench: Probing the Industrial Knowledge Boundaries of LLMs 📝Paper 🤗HuggingFace Data Source grounded industrial procurement QA for LLMs: each item is tied to a Chinese national standard (GB/T) or a structured industrial product record , with human reviewed English, Russi...
For agents
This page has a .md twin and JSON over the API.