1,000,032 synthetic sentence samples are planned for this dataset, which maps six tones across eight languages. The dataset is generated by hamzah0asadullah using the mistralai/Ministral-3-3B-Instruct-2512 model and was last updated on May 7, 2026.
Use Cases
- Train tone classification models based on the six labeled tones.
- Benchmark multilingual NLP models on synthetic text across eight languages.
- Generate synthetic training data for tasks requiring tone-aware language generation.
- Study the relationship between linguistic tone and sentence structure in synthetic corpora.
Strengths
- Planned scale of 1,000,032 samples provides a substantial corpus.
- Multilingual coverage across eight languages.
- Clear licensing status under Apache 2.0 for the generating model.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- Data is synthetic, which may limit applicability to real-world language patterns.
Provenance
- Source
- Generated by hamzah0asadullah using mistralai/Ministral-3-3B-Instruct-2512.
- Collection Method
- Synthetic generation via a language model.
- Freshness
- Last updated 2026-05-07 12:02:26; freshness should be verified.