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--- |
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language: |
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- en |
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license: other |
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task_categories: |
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- tabular-regression |
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features: |
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- name: symbols |
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dtype: string |
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- name: datetime |
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dtype: string |
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- name: title |
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dtype: string |
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- name: url |
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dtype: string |
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- name: authors |
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dtype: string |
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- name: summary |
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dtype: string |
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- name: source |
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dtype: string |
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- name: topics |
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dtype: string |
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- name: sentiment |
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dtype: string |
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- name: symbol_sentiment |
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dtype: string |
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extra_gated_prompt: "To get access to this dataset, you must subscribe to Papers With Backtest. To subscribe, go to https://paperswithbacktest.com/ > Login > Choose Your Plan > Subscribe." |
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--- |
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# Dataset Information |
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This dataset includes daily rates data for various bonds. |
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## Instruments Included |
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Stocks, ETFs, Forex, Cryptocurrencies, Commodities and more. |
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## Dataset Columns |
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- `symbols`: The symbols in the news, typically representing stock tickers or other financial instruments mentioned in the article. |
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- `datetime`: The date and time when the news article was published, formatted as a string. |
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- `title`: The title of the news article, providing a brief and descriptive summary of the content. |
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- `url`: The web address (URL) where the news article is hosted, allowing for direct access to the full text. |
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- `authors`: The names of the authors who wrote the article, often listed as a comma-separated string if there are multiple authors. |
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- `summary`: A brief summary or abstract of the article's content, capturing the main points discussed in the news. |
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- `source`: The name of the media outlet or organization that published the news article, indicating the origin of the information. |
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- `topics`: The key topics or themes covered in the article, often represented as a comma-separated string of keywords. |
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- `sentiment`: The overall sentiment of the article's content, typically categorized as positive, negative, or neutral, indicating the tone of the news. |
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- `symbol_sentiment`: The sentiment associated specifically with the symbols mentioned in the article, reflecting the sentiment toward those financial instruments. |
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## Data Splits |
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The data is split into a training set. |
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## Dataset Maintenance |
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The dataset is updated on a monthly basis by [Papers With Backtest](https://paperswithbacktest.com). |
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