bnsapa/cybersecurity-ner
This dataset is primarily for token‑classification tasks and includes three features: id (string), tokens (list of strings), and ner_tags (list of named‑entity labels). The ner_tags cover 11 categories to label different entity types such as indicators, malware, organizations, systems, and vulnerabilities. The dataset is split into training, testing, and validation subsets, each with different numbers of samples and byte sizes. The download size is 385,026 bytes and the total size is 1,873,973 bytes. It uses the default configuration with file paths for each split. The license is Apache 2.0.
Description
Dataset Overview
Dataset Features
- id: string type.
- tokens: sequence of strings.
- ner_tags: sequence with the following label categories:
- 0: B-Indicator
- 1: B-Malware
- 2: B-Organization
- 3: B-System
- 4: B-Vulnerability
- 5: I-Indicator
- 6: I-Malware
- 7: I-Organization
- 8: I-System
- 9: I-Vulnerability
- 10: O
Data Splits
- train: 2,664 samples, 1,197,515 bytes.
- test: 717 samples, 336,600 bytes.
- validation: 785 samples, 339,858 bytes.
Dataset Size
- Download size: 385,026 bytes
- Total size: 1,873,973 bytes
Configuration
- default: file paths are as follows:
- train: data/train-*
- test: data/test-*
- validation: data/validation-*
License
- apache-2.0
Task Type
- token-classification
AI studio
Generate PPTs instantly with Nano Banana Pro.
Generate PPT NowAccess Dataset
Please login to view download links and access full dataset details.
Topics
Source
Organization: hugging_face
Created: Unknown
Power Your Data Analysis with Premium AI Models
Supporting GPT-5, Claude-4, DeepSeek v3, Gemini and more.
Enjoy a free trial and save 20%+ compared to official pricing.