Dataset · Hugging Face

GSMA/telco-retrieve-chunks

Name: telco-retrieve-chunks
Creator: GSMA
License: apache-2.0
Keywords: task_categories:feature-extraction, task_categories:sentence-similarity, task_categories:text-retrieval, language:en, license:apache-2.0, size_categories:n<1K, modality:tabular, modality:text, region:us, telecom, telecommunications, 3gpp, rag, retrieval-augmented-generation, vector-database

Telco-Retrieve Chunks — 3GPP Rel-19 Vector Database Grid 120 pre-built retrieval indexes over the 3GPP Release-19 corpus — one per (embedding model × chunking strategy × enrichment strategy) configuration. Each is a complete ChromaDB dense index plus a parallel SQLite FTS5 (BM25) index, ready to query with no re-ingestion. Part of the GSMA Open Telco AI initiative. Companion to GSMA/telco-retrieve-QnA (the evaluation questions) and the open-telco-rag pipeline that reads these… See the full description on the dataset page: https://huggingface.co/datasets/GSMA/telco-retrieve-chunks.

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Author / organization	GSMA
License (as declared)	apache-2.0
Downloads	2K (as reported by Hugging Face)
Likes	0
Created	4 September 2026
Last updated at source	8 September 2026

telecomtelecommunications3gppragretrieval-augmented-generationvector-databasechromadbembeddingsbm25benchmark

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