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TeleSpec-Data

Dataset Summary

TeleSpec-Data is a dataset of telecommunications standards documents from two major bodies: ETSI and 3GPP. It is designed for continual pretraining of language models on telecom domain knowledge.

The dataset consists of two categories:

  • 3gpp-standard: 15,054 3GPP technical specifications and reports covering Release 8 through Release 19 (updated to April 2025), sourced from TSpec-LLM.
  • etsi-standard: 23,248 ETSI documents spanning 15 working groups (TS, TR, EN, ES, GS, GR, EG, ETR, ETS, GTS, and others), covering years 2000–2024, extracted from the PDF corpus in NetSpec-LLM.

Total: 38,302 documents.

Dataset Structure

Data Fields

  • id: Unique identifier for each document.
  • category: Category of the document — 3gpp-standard or etsi-standard.
  • content: Full text of the document. Sections are separated by \n.
  • metadata: JSON string with document-level metadata. Fields vary by category.

Data Instances

An example from the 3GPP subset:

{
    "id": "3gpp_24229_Rel-17_hc0",
    "category": "3gpp-standard",
    "content": "3GPP TS 24.229 Release 17 Vhc0 \n 1 Scope \n The present document specifies...",
    "metadata": "{\"doc_number\": \"24229\", \"series\": \"24\", \"release\": \"17\", \"version\": \"hc0\", \"filename\": \"24229-hc0.md\", \"series_dir\": \"24_series\"}"
}

An example from the ETSI subset:

{
    "id": "etsi_28737",
    "category": "etsi-standard",
    "content": "ETSI TS 132 371 V7.3.1 (2008-07) \n Security Management concept and requirements \n 1 Scope \n The present document specifies...",
    "metadata": "{\"working_group\": \"TS\", \"year\": 2008, \"deliverable_type\": \"TS\", \"version\": \"7.3.1\", \"title\": \"Security Management concept and requirements\"}"
}

Sample Code

import json
from datasets import load_dataset

# Full dataset
ds = load_dataset("NareshModina/TeleSpec-Data")

# Single category
ds = load_dataset("NareshModina/TeleSpec-Data", name="etsi-standard")
ds = load_dataset("NareshModina/TeleSpec-Data", name="3gpp-standard")

sample = ds["train"][0]
print(f"ID: {sample['id']}\nCategory: {sample['category']}\nContent: {sample['content'][:200]}")
for key, value in json.loads(sample["metadata"]).items():
    print(f"{key}: {value}")

Citation

If you use this dataset, please cite:

@dataset{modina2025telespecdata,
  author    = {Naresh Modina},
  title     = {TeleSpec-Data: A Telecommunications Standards Dataset for Language Model Pretraining},
  year      = {2025},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/datasets/NareshModina/TeleSpec-Data}
}

Please also cite the upstream sources:

@misc{nikbakht2024tspecllm,
  title         = {TSpec-LLM: An Open-source Dataset for LLM Understanding of 3GPP Specifications},
  author        = {Rasoul Nikbakht and Mohamed Benzaghta and Giovanni Geraci},
  year          = {2024},
  eprint        = {2406.01768},
  archivePrefix = {arXiv},
  primaryClass  = {cs.NI},
  url           = {https://arxiv.org/abs/2406.01768}
}

ETSI document corpus sourced from rasoul-nikbakht/NetSpec-LLM (CC BY-NC 4.0).

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