Kinopotok Toxicity: Social Media Text for Content Moderation

Kinopotok Toxicity is a dataset for text classification tasks, published on the Hugging Face platform by YuraYuyuyu. The dataset's platform tags suggest it relates to social media, content moderation, and toxicity detection. It was last updated on July 14, 2026.

Use Cases

• Train a toxicity classifier on social media text (inferred from domain, verify after download)
• Benchmark content moderation algorithms (inferred from domain, verify after download)
• Analyze patterns of harmful language online (inferred from domain, verify after download)

Strengths

• Published on the Hugging Face platform, a major repository for machine learning datasets.
• Last updated on 2026-07-14 16:18:25, indicating recent maintenance.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and license are unknown, which may limit suitability assessment.

Provenance

Source

Hugging Face platform, author YuraYuyuyu.

Freshness

Last updated 2026-07-14 16:18:25.