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README.md
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---
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license: cc-by-nc-4.0
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language:
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- en
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tags:
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- telecom
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- LLM
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- ETSI
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- 3GPP
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- standards
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- continual-pretraining
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task_categories:
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- text-generation
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size_categories:
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- 1B<n<10B
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/*/*.parquet
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- config_name: 3gpp-standard
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data_files:
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- split: train
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path: data/3gpp-standard/*.parquet
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- config_name: etsi-standard
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data_files:
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- split: train
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path: data/etsi-standard/*.parquet
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---
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# TeleSpec-Data
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## Dataset Summary
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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.
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The dataset consists of two categories:
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- **3gpp-standard**: 3GPP technical specifications and reports, sourced from the standards subset of [Tele-Data](https://huggingface.co/datasets/AliMaatouk/Tele-Data).
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- **etsi-standard**: 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](https://huggingface.co/datasets/rasoul-nikbakht/NetSpec-LLM).
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## Dataset Structure
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### Data Fields
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- `id`: Unique identifier for each document.
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- `category`: Category of the document — `3gpp-standard` or `etsi-standard`.
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- `content`: Full text of the document. Sections are separated by ` \n `.
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- `metadata`: JSON string with document-level metadata. Fields vary by category.
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### Data Instances
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An example from the 3GPP subset:
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```
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{
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"id": "standard_2413",
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"category": "3gpp-standard",
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"content": "3rd Generation Partnership Project; \n Technical Specification Group Core Network and Terminals; \n Interworking between the Public Land Mobile Network (PLMN)...",
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"metadata": "{\"Series\": \"29\", \"Release\": \"12\", \"File_name\": \"29161-c00\"}"
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}
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```
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An example from the ETSI subset:
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```
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{
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"id": "etsi_28737",
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"category": "etsi-standard",
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"content": "ETSI TS 132 371 V7.3.1 (2008-07) \n Security Management concept and requirements \n 1 Scope \n The present document specifies...",
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"metadata": "{\"working_group\": \"TS\", \"year\": 2008, \"deliverable_type\": \"TS\", \"version\": \"7.3.1\", \"title\": \"Security Management concept and requirements\"}"
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}
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```
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## Sample Code
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```python
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import json
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from datasets import load_dataset
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# Full dataset
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ds = load_dataset("NareshModina/TeleSpec-Data")
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# Single category
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ds = load_dataset("NareshModina/TeleSpec-Data", name="etsi-standard")
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ds = load_dataset("NareshModina/TeleSpec-Data", name="3gpp-standard")
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sample = ds["train"][0]
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print(f"ID: {sample['id']}\nCategory: {sample['category']}\nContent: {sample['content'][:200]}")
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for key, value in json.loads(sample["metadata"]).items():
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print(f"{key}: {value}")
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```
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## Citation
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If you use this dataset, please cite:
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```bibtex
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@dataset{modina2025telespecdata,
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author = {Naresh Modina},
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title = {TeleSpec-Data: A Telecommunications Standards Dataset for Language Model Pretraining},
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year = {2025},
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publisher = {Hugging Face},
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url = {https://huggingface.co/datasets/NareshModina/TeleSpec-Data}
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}
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```
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Please also cite the upstream sources:
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```bibtex
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@misc{maatouk2024telellms,
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title = {Tele-LLMs: A Series of Specialized Large Language Models for Telecommunications},
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author = {Ali Maatouk and Kenny Chirino Ampudia and Rex Ying and Leandros Tassiulas},
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year = {2024},
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eprint = {2409.05314},
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archivePrefix = {arXiv},
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primaryClass = {cs.IT},
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url = {https://arxiv.org/abs/2409.05314}
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}
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```
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ETSI document corpus sourced from [rasoul-nikbakht/NetSpec-LLM](https://huggingface.co/datasets/rasoul-nikbakht/NetSpec-LLM) (CC BY-NC 4.0).
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