Multilingual Text Classification Dataset for Salience Evaluation

Serving as for multi-input text classification tasks, specifically salience evaluation. It contains text data with crowdsourced annotations, categorized as monolingual with a size between 10,000 and 100,000 rows. The dataset was created by Yincen and last updated in July 2022.

Use Cases

• Train a text classification model using the 'multi Input Text Classification' task ID to predict salience scores.
• Analyze annotation patterns from the 'crowdsourced' Annotations Creators to assess label consistency.
• Benchmark model performance on the 'monolingual' text data for the specified 'text Classification' task category.

Strengths

• Dataset size is categorized as between 10,000 and 100,000 rows (Size Categories10 Kn100 K).
• Includes annotations created via a 'crowdsourced' methodology.
• Specifically designed for the 'multi Input Text Classification' task.

Limitations

• Specific column structure, data fields, and exact row count are unknown.
• Dataset summary, supported tasks, and languages are marked as '[More Information Needed]'.
• Data may be temporally stale, with a last update in July 2022.

Provenance

Source

Original source datasets, as indicated by the 'Source Datasetsoriginal' tag.

Collection Method

Annotations were crowdsourced.

Freshness

Last updated on 2022-07-04.

Geography

Region is tagged as 'us'.