Twitter Financial News Sentiment Prepared for LLM Fine-Tuning

zeroshot/twitter-financial-news-sentiment is a dataset adapted for instruction-based language model training. The author jppgks added an instruction column and mapped numeric sentiment labels to string categories (negative, positive, neutral). It was last updated on the Hugging Face platform in September 2023.

Use Cases

• Fine-tuning instruction-following LLMs based on the added instruction column.
• Training sentiment classifiers for financial text using the mapped string labels.
• Benchmarking model performance on social media financial sentiment.
• Analyzing the tone of financial news discussions on Twitter.

Strengths

• Labels are explicitly mapped from numeric to string categories (negative, positive, neutral).
• Dataset includes an added instruction column designed for LLM fine-tuning.
• Last update timestamp is precisely recorded as 2023-09-13 22:05:58.

Limitations

• Row count, column names, and file formats are unknown, limiting suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.
• Freshness should be verified as the data was last updated in 2023.

Provenance

Source

Hugging Face dataset by user jppgks, derived from an original source 'zeroshot/twitter-financial-news-sentiment'.

Collection Method

Prepared by adding an instruction column and remapping labels.

Time Range

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Freshness

Last updated 2023-09 13 22:05:58.

Geography

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