neto
netomi-ai_-_Llama-3.1-8B-instruct-library-finetuned-V2-merged-ggufnetomi-ai_-_Axolotl-Llama-3.1-70B-instruct-finetuned-merged-ggufcheating-netorare-prostitution-concept-version-anima-illustrious-noobaintr-pov-netorase-netorare-cuckold-conceptTSLAM-Mini-2Bnetomi-ai_-_Axolotl-Llama-3.1-8B-instruct-finetuned-merged-V2-ggufsea_mammalsntr-netorare-video-letter-situation
Datasets
All datasets matching “neto”3GPP-R18gotsf-ds
📶 Beam-Level (5G) Time-Series Dataset
📚 Citation
This dataset is released alongside the following paper:
Fechete, L., et al. “Goal-Oriented Time-Series Forecasting: Foundation Framework Design.” Proceedings of the AAAI Conference on Artificial Intelligence, 2026, Singapore.
If you use this dataset, please cite the above work.
This dataset introduces a novel multivariate time series specifically curated to support research in enabling accurate prediction of KPIs… See the full description on the dataset page: https://huggingface.co/datasets/netop/gotsf-ds.TeleLogs
TeleLogs
A Benchmark for Large Language Models in Telecom Data Analysis
Developed by the NetOp Team, Huawei Paris Research Center
📄 Read the Paper
🤗 Explore the Dataset
[!NOTE]
IMPORTANT: Please help us protect the integrity of this benchmark by not publicly sharing, re-uploading, or distributing the dataset.
TeleLogs is a synthetic dataset designed to advance research on Root Cause Analysis (RCA) in 5G networks.… See the full description on the dataset page: https://huggingface.co/datasets/netop/TeleLogs.CIC-IoT-2023-neto-full
CIC-IoT-2023 — Neto-Full (Authoritative 46.7M)
This is the authoritative canonical CIC-IoT-2023 dataset at the row count
published by Neto et al. (2023): 46,686,579 rows × 46 features.
Sourced from the Kaggle mirror akashdogra/ciciot23csv (13.75 GB single CSV)
which itself was derived from CIC's official 169-file distribution. Compared
to bencorn's HF mirror (45M, 39 features), this preserves:
All 46 original features (bencorn dropped 7)
The full 46.7M row count (bencorn re-merge… See the full description on the dataset page: https://huggingface.co/datasets/lacg030175/CIC-IoT-2023-neto-full.datalitevnTeleQnA
TeleQnA
A Benchmark for Large Language Models in Telecom Knowledge
Developed by the NetOp Team, Huawei Paris Research Center
Ali Maatouk · Fadhel Ayed · Nicola Piovesan · Antonio De Domenico · Merouane Debbah · Zhi-Quan Luo
📄 Read the Paper
🤗 Explore the Dataset
TeleQnA is a comprehensive dataset tailored to assess the knowledge of Large Language Models (LLMs) in the field of telecommunications. It… See the full description on the dataset page: https://huggingface.co/datasets/netop/TeleQnA.