Yicheng Huang published NLP code, vocabulary, and text extraction results on 2026-04 11. The 1.3 MB dataset supports lexical co-occurrence analysis for power grid engineering disasters. It includes TXT and XLSX files.
Use Cases
- Perform lexical co-occurrence analysis based on the extracted text results mentioned in the description
- Study factor extraction for power grid disasters based on the vocabulary and NLP code provided
- Analyze the evolution mechanism of engineering disasters under climate change based on the text extraction outputs
Strengths
- Dataset is 1.3 MB in size, making it a small and manageable download.
- Released under a CC-BY-4.0 license, allowing for flexible reuse.
- Includes both processed text (TXT) and structured data (XLSX) formats.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- Yicheng Huang via figshare
- Collection Method
- Text extraction results from NLP processing, likely for lexical analysis.
- Time Range
- null
- Freshness
- Last updated 2026-04-11 09:49:38; freshness should be verified.
- Geography
- null