README.md

---
tags:
  - wireless
  - taxonomy
  - communication-systems
  - datasets
  - metadata
  - benchmarking
  - reproducibility
license: mit
language:
  - en
pretty_name: Wireless Taxonomy Dataset
---

# 📶 Wireless Taxonomy Dataset

The **Wireless Taxonomy Dataset** is a structured corpus of wireless communication research metadata, created to support the development of a standardized benchmark for the wireless research community.  
It captures the relationships between **datasets**, **papers**, and **citations**, emphasizing **data provenance**, **collection environments**, and **modality-level detail** across the OSI stack.

This taxonomy was curated as part an effort to systematically identify and classify datasets collected from real-world, lab-based, or high-fidelity wireless environments.

---

## 🧭 Overview

The dataset provides a unified reference for wireless research data sources, including:

- Publications from **ACM SIGCOMM**, **IMC**, and **CoNEXT** (2022–2025)
- Descriptions of **datasets used or generated** in these papers
- Mappings between datasets, publications, and BibTeX references

The curation emphasizes datasets that involve **physical or trace-driven wireless environments**, such as operational LTE/5G systems, SDR testbeds, or validated wireless emulations.

---

## 🗂️ Dataset Structure

This repository consists of **three interlinked CSV tables**, each available as a configuration:

| Config | File | Description |
|---------|------|-------------|
| **`datasets`** | [`Wireless_Datasets.csv`](./datasets/Wireless_Datasets.csv) | Metadata describing qualifying wireless datasets, including dataset names, OSI layer coverage, modalities, and collection environments. |
| **`papers`** | [`Wireless_Papers.csv`](./papers/Wireless_Papers.csv) | A structured index of research papers analyzed, including authors, venues, years, dataset usage, and taxonomy keys. |
| **`bibtex`** | [`Bibtex.csv`](./bibtex/Bibtex.csv) | Canonical citation metadata linking publications to datasets via shared BibTeX keys. |

---

## 🔗 Linking and Relational Schema

Each table contains a shared relational variable: **`bibtex_citation_key`**.  
This key enables relational joins across the three tables.

- A single dataset may link to **multiple papers** (e.g., reused benchmarks).  
- Papers may list **multiple datasets**.  
- Merging on `bibtex_citation_key` reconstructs the complete dataset–paper–citation graph.

---

## 🧪 Methodology

The taxonomy was constructed through a combination of structured corpus analysis and manual validation.  
Publications from major networking and wireless conferences between 2022 and 2025 were reviewed to identify papers containing datasets from qualifying wireless environments — namely, **real-world deployments**, **physical testbeds**, or **high-fidelity simulations/emulations**.

---

## 📑 Schema Description

| Field | Description |
|--------|-------------|
| `dataset_name` | Name or descriptive identifier of the dataset. |
| `bibtex_citation_key` | Shared key linking datasets to papers and citations. |
| `osi_layers` | OSI layers represented in the dataset (e.g., L1, L4). |
| `modalities` | Collected data types (e.g., RF traces, latency, throughput). |
| `availability` | Indicates whether the dataset is open, closed, or n/a. |
| `collection_environment` | Describes how the dataset was collected: Real-world deployment, Physical Testbed, or High-Fidelity Simulation. |

---

## ⚙️ Example Usage

```python
from datasets import load_dataset

# Load the dataset taxonomy
datasets_table = load_dataset("your-hf-username/wireless_taxonomy", name="datasets", split="train")

# Explore papers and linked citations
papers_table = load_dataset("your-hf-username/wireless_taxonomy", name="papers", split="train")
bib_table = load_dataset("your-hf-username/wireless_taxonomy", name="bibtex", split="train")

# Join tables via the BibTeX citation key
import pandas as pd

df = pd.merge(datasets_table.to_pandas(), papers_table.to_pandas(), on="bibtex_citation_key")
df.head()