emilpartow's picture
Update README.md
edfdadd verified
---
license: cc-by-4.0
task_categories:
- feature-extraction
language:
- en
tags:
- finance
- reddit
- social-media
- sentiment-analysis
- s&p500
pretty_name: Reddit Finance Posts SP500
size_categories:
- 100K<n<1M
---
# Reddit Finance Posts Dataset SP500
This dataset contains 431,923 Reddit posts collected from 20 finance-related subreddits via the Reddit API.
As keywords, all S&P 500 companies were used. The included subreddits are:
```
stocks, wallstreetbets, investing, StockMarket, options, RobinHood,
pennystocks, SecurityAnalysis, personalfinance, Dividends, CryptoCurrency,
CryptoMarkets, ETFs, FinancialIndependence, ValueInvesting, quant,
algotrading, forex, economy, Superstonk, spacs, financialplanning
```
## About This Dataset
The provided data collection pipeline (see [**emilpartow/financial-sentiment-pipeline**](https://github.com/emilpartow/financial-sentiment-pipeline)) makes it simple to expand the dataset with more comments, different time frames, additional companies, or other subreddits as needed.
If you need a larger or customized dataset, you can easily adapt and rerun the pipeline to collect more data for your own use case.
## Dataset Overview
Each row in the dataset contains metadata and content for a Reddit comment or post, with the following columns:
- `id`: Reddit post ID
- `title`: Title of the post
- `text`: Body text of the post (if available)
- `created_utc`: Timestamp in UTC
- `created_datetime`: Datetime (ISO format)
- `author`: Reddit username
- `score`: Reddit score (upvotes minus downvotes)
- `num_comments`: Number of comments (for posts)
- `upvote_ratio`: Upvote ratio (for posts)
- `flair`: Post flair (if available)
- `permalink`: Direct Reddit link to the comment or post
- `url`: URL (if different from permalink)
- `subreddit`: Name of the subreddit
- `company`: The matched company keyword (e.g. `Apple`, `Tesla`, or `Microsoft`)
## Data Collection
All posts were collected using [PRAW (Python Reddit API Wrapper)](https://praw.readthedocs.io/).
Data processing pipeline can be found here:
➡️ [**emilpartow/financial-sentiment-pipeline**](https://github.com/emilpartow/financial-sentiment-pipeline)
## Notes
- **No manual or verbal content review was performed:** The dataset consists of comments as collected via the Reddit API. There may be offensive, biased, or otherwise inappropriate content present.
- Please respect Reddit’s API Terms of Use when working with this dataset.
## License
[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)
---
**Questions or feedback?**
Feel free to open an issue or discussion in the linked GitHub repository!