News dataset from Recognai contains U.S. news articles for text analysis. The collection includes between 1,000 and 10,000 text records, last updated in February 2022. It is formatted for use with libraries like pandas, polars, and datasets.
Use Cases
- Train a named entity recognition model to identify persons, organizations, and locations within article text.
- Perform text classification on news articles to categorize them by topic or sentiment.
- Apply topic modeling techniques to discover latent themes across the corpus of news text.
- Fine-tune a language model for downstream tasks using domain-specific news article data.
Strengths
- Contains between 1,000 and 10,000 text records, providing a substantive sample for model training.
- Data is provided in Parquet format, optimized for efficient processing with common data science libraries.
Limitations
- Sample size is limited to under 10,000 rows, which may be insufficient for training large, data-hungry models.
- Temporal coverage is unclear, and the data has not been updated since 2022, potentially missing recent events.
Provenance
- Source
- Recognai
- Collection Method
- null
- Time Range
- null
- Freshness
- Last updated in February 2022; no update frequency specified.
- Geography
- Region: United States (inferred from platform tags)