87 research articles on farmer suicides in India, downloaded from Google Scholar and PubMed using the keyword "Farmer Suicides in India" and converted to text. The dataset was compiled by Santosh Tirunagari. Analysis of the articles indicates health-related causal factors account for over 50% of farmer suicides, while economic, social, and socio-economic factors contribute to 26%.
Use Cases
- Identify causal factors for farmer suicides based on manually collected causal sentences.
- Perform quantitative analysis of the influence of health, economic, and social factors mentioned in the articles.
- Train NLP models for topic extraction on the converted text files.
- Compare scholarly perspectives on mitigation strategies for farmer suicides.
- Analyze the distribution of research focus across different causal categories.
Strengths
- 87 PDF articles were meticulously selected from an initial pool of 150.
- Articles were converted from PDF to text format for analysis.
- The description provides a specific breakdown of causal factors: health-related (>50%), economic, social, and socio-economic (26%).
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Data may reflect source bias inherent to paperswithcode and the specific keyword search.
Provenance
- Source
- Google Scholar and PubMed.
- Collection Method
- Articles downloaded using the search keyword "Farmer Suicides in India", converted from PDF to .txt format.
- Geography
- India