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README.md

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-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+_Welcome to the official GSMA organization on Hugging Face!_
+
+The [GSMA](https://www.gsma.com) represents mobile operators and organisations across the mobile ecosystem worldwide. We are building **open resources to advance AI in telecommunications** — making telecom-domain evaluation, benchmarking, and knowledge accessible to the global research community.
+
+## Open Telco AI
+
+[**Open Telco**](https://github.com/gsma-research/open_telco) is a comprehensive suite of telco-specific benchmarks built on the [Inspect AI](https://inspect.ai-safety-institute.org.uk/) framework, designed to ensure safe and optimal deployment of AI in telecommunications environments. A collaborative effort with major telecom providers, research institutions, and universities.
+
+- **[ot-full](https://huggingface.co/datasets/GSMA/ot-full)** — 16,866 evaluation samples across 7 benchmarks — the complete evaluation suite
+- **[ot-lite](https://huggingface.co/datasets/GSMA/ot-lite)** — 1,700 sample subset for fast iteration during model development
+- **[Leaderboard Scores](https://huggingface.co/datasets/GSMA/leaderboard)** — Published benchmark scores with standard errors
+
+### Benchmarks
+
+The evaluation suite curates 7 telecom-domain benchmarks from academic and industry sources:
+
+| Benchmark | Samples | Task |
+|-----------|---------|------|
+| **TeleQnA** | 10,000 | Multiple-choice Q&A on telecom standards |
+| **TeleMath** | 1,500 | Mathematical reasoning in telecom contexts |
+| **TeleTables** | 500 | Table interpretation from 3GPP specifications |
+| **TeleLogs** | 586 | Log analysis and network troubleshooting |
+| **3GPP TSG** | 3,780 | 3GPP Technical Specification Group document understanding |
+| **ORANBench** | 200 | O-RAN architecture and specifications |
+| **SRSRANBench** | 300 | srsRAN open-source network stack |
+
+## Satellite — Eval Runner
+
+[**Satellite**](https://github.com/gsma-labs/evals) provides telecom-focused evaluation operations built on Inspect AI. Run the full Open Telco benchmark suite locally within your own infrastructure with a single command.
+
+## Telecom Simulation Sandboxes
+
+Purpose-built sandbox environments that place AI agents inside live telecom network simulations — for evaluating whether models can *operate* networks, not just answer questions about them.
+
+- **[inspect-kathara](https://github.com/gsma-labs/inspect-kathara)** — Run AI agent evaluations inside isolated network topologies. Integrates Inspect AI with Docker-based network sandboxes to evaluate agents' ability to diagnose and resolve network connectivity issues in reproducible environments.
+
+- **[5gs-sandbox](https://github.com/gsma-labs/5gs-sandbox)** — Run AI agent evaluations inside a complete 5G Standalone network. A full 5G SA deployment with 15 Docker containers (Open5GS + UERANSIM), enabling agents to configure, diagnose, and optimize real 5G network functions with actual performance measurement.
+
+## Datasets and Knowledge Resources
+
+- **[telecom-kg-rel19](https://huggingface.co/datasets/GSMA/telecom-kg-rel19)** — Large-scale telecom knowledge graph built from 3GPP Release 19 specifications, with text chunks for retrieval-augmented generation (RAG) and LLM reasoning over standards
+
+## Research and Community
+
+- **GSMA AI Initiatives**: https://www.gsma.com/solutions-and-impact/technologies/artificial-intelligence/
+- **Open Gateway**: https://www.gsma.com/solutions-and-impact/gsma-open-gateway/
+- **MWC (Mobile World Congress)**: https://www.mwcbarcelona.com/