language:
- en
Telco Common Corpus (TCC) is a ten billion tokens collection of fully open, free licensed telecommunications knowledge (scientific literature, patents, open data, and open-web projects) with licence and provenance verified at a document-level.
TCC stems from GSMA's effort to make AI work for the telecom sector. The Open-Telco LLM Benchmarks and the broader Open Telco AI initiative have already established that current models fall short on real telecom tasks, including network management and, even more importantly, that they have not progressed significantly over the last two years.
Composition
What equally sets TCC apart is the diversity of its sources: alongside peer-reviewed articles, it reaches technical reports, standards-adjacent project deliverables, patents, and public-domain government research on propagation, spectrum, and coding.
| Source | What it covers | Licence | Tokens |
|---|---|---|---|
| 3GPP preparatory documents | Working documents behind the 3GPP standards | Public domain | 3,546,022,615 |
| RFC specifications | ~10,000 IETF specifications | Public domain | 113,005,444 |
| RFC drafts | ~40,000 updated drafts | Public domain | 307,750,151 |
| RFC preparatory documents | Spec drafts, discussions, and related artifacts | Public domain / no copyright | 1,374,532,228 |
| RFC proceedings | Minutes and discussions | Public domain / no copyright | 47,930,212 |
| IEEE open access | 64,000 journal articles released by IEEE under free licence | Various, mostly CC-BY | 1,210,317,934 |
| Other open access papers from OpenAlex | Various, mostly CC-By | 459,392,269 | |
| US patents | 95,000 US patents (2020–2026), filtered to the telecom domain | Public domain | 2,345,121,436 |
| EU patents | 25,000 EU patents (last two years), filtered to the telecom domain | Public domain | 606,815,778 |
| Wikipedia (telecom) | Structured Wikipedia filtered to telecom topics | CC-BY-SA | 12,132,156 |
| Wikidata (telecom) | Structured Wikipedia filtered to telecom topics | CC0 | 11,345,452 |
| Total | 10,034,365,675 |
Processing
Most TCC sources come from doc or PDF documents that require advanced processing. We used a Pleias internal pipeline (Stratum) relying on open weights VLMs like dots.ocr to properly parse each document at the section level and preserve fundamental document structure like tables.
The dataset is almost exclusively English. The few multilingual documents have been detected using CommonLingua, a SOTA language detection already jointly released by Pleias and GSMA.