Initial dataset upload

README.md

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-license: mit
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+
+# Multi-Source, Multi-Language Social Media Dataset (1 Week Sample)
+
+This dataset represents a rich, diverse snapshot of global online discourse, collected over a one-week period from December 1, 2024, to December 7, 2024. It comprises 65,542,211 entries from various social media platforms, blogs, and news articles, all precisely timestamped at the moment of posting. This dataset is procuded by Exorde Labs. www.exordelabs.com/.
+All items in this datasets are captured publicly, in near real-time, allowing post-deletion & retrospective analyses.
+
+## Dataset Highlights
+
+- **Multi-Source**: Captures content from a wide range of online platforms
+- **Multi-Language**: Covers 122 different languages
+- **High-Resolution Temporal Data**: Each entry is timestamped to the exact moment of posting
+- **Rich Metadata**: Includes sentiment analysis, emotion detection, and thematic categorization
+- **Large Scale**: 65,542,211 entries collected over just one week
+- **Diverse Content**: Social media posts, blog entries, news articles, and more
+
+## Dataset Schema
+- **date**: string (exact timestamp of post)
+- **original_text**: string
+- **url**: string
+- **author_hash**: string (SHA-1 hash for privacy)
+- **language**: string
+- **primary_theme**: string
+- **english_keywords**: string
+- **sentiment**: double
+- **main_emotion**: string
+- **secondary_themes**: list<element: int64>
+
+## Key Statistics
+- **Total entries**: 65,542,211
+- **Date range**: 2024-12-01 to 2024-12-07 (included)
+- **Unique authors**: 9,235,952
+- **Languages**: 122
+- **Primary themes**: 16
+- **Main emotions**: 26
+- **Average sentiment**: 0.051
+- **Most common emotion**: Neutral
+
+## Top 10 Sources
+1. x.com: 49,893,080
+2. reddit.com: 14,385,495
+3. bsky.app: 7,292,262
+4. youtube.com: 1,778,020
+5. 4channel.org: 233,134
+6. jeuxvideo.com: 61,373
+7. forocoches.com: 55,683
+8. mastodon.social: 54,932
+9. news.ycombinator.com: 32,216
+
+[Full source distribution](https://gist.githubusercontent.com/MathiasExorde/53eea5617640487bdd1e8d124b2df5e4/raw/5bb9a4cd9b477216d64af65e3a0918879f806e8b/gistfile1.txt)
+
+## Top 10 Languages
+1. English (en): 53,882,510
+2. Spanish (es): 5,012,521
+3. Japanese (ja): 3,653,281
+4. Portuguese (pt): 3,548,869
+5. French (fr): 1,487,180
+6. German (de): 1,297,085
+7. Turkish (tr): 850,770
+8. Arabic (ar): 829,992
+9. Italian (it): 720,955
+
+[Full language distribution](https://gist.github.com/MathiasExorde/bded85ba620de095705bb20507fcf6f1#file-gistfile1-txt)
+
+## About Exorde Labs
+
+Exorde Labs is pioneering a novel collective distributed data DePIN (Decentralized Physical Infrastructure Network). Our mission is to produce a representative view of the web, minute by minute. Since our inception in July 2023, we have achieved:
+
+- Current capacity: Processing up to 4 billion elements annually
+- Growth rate: 20% monthly increase in data volume
+- Coverage: A comprehensive, real-time snapshot of global online discourse
+- More than 10 Million data points processed daily, half a million per hour in near real-time
+
+This dataset is a small sample of our capabilities, offering researchers and developers a glimpse into the rich, multi-faceted data we collect and analyze.
+
+For more information about our work and services, visit:
+
+- [Exorde Labs Website](https://www.exordelabs.com/)
+- [Social Media Data](https://www.exordelabs.com/social-media-data)
+- [Exorde Labs API](https://www.exordelabs.com/api)
+
+## Use Cases
+
+This dataset is invaluable for a wide range of applications, including but not limited to:
+
+- Real-time trend analysis
+- Cross-platform social media research
+- Multi-lingual sentiment analysis
+- Emotion detection across cultures
+- Thematic analysis of global discourse
+- Event detection and tracking
+- Influence mapping and network analysis
+
+## Citation Information
+
+If you use this dataset in your research or applications, please cite it as follows:
+
+`Exorde Labs. (2024). Multi-Source, Multi-Language Social Media Dataset (1 Week Sample) [Data set]. Exorde Labs. https://www.exordelabs.com/` 
+
+## Acknowledgments
+
+We would like to thank the open-source community for their continued support and feedback. Special thanks to all the platforms and users whose public data has contributed to this dataset.
+Massive thanks to the Exorde Network and its data enthusiast community, unique of its kind.
+
+## Licensing Information
+
+This dataset is released under the MIT license.
+
+## Contact Information
+
+For questions, feedback, or more information about this dataset or Exorde Labs' services, please contact us at:
+
+-   Email: [[email protected]](mailto:[email protected])
+-   Twitter: [@ExordeLabs](https://twitter.com/ExordeLabs)
+-   GitHub: [Exorde Labs](https://github.com/exorde-labs)
+
+We are committed to supporting the open-source community by providing high-quality, diverse datasets for cutting-edge research and development. If you find this dataset useful, consider exploring our API for real-time access to our full range of social media data.
+
+
+![Exorde Labs Logo](https://cdn.prod.website-files.com/620398f412d5829aa28fbb86/62278ca0202d025e97b76555_portrait-logo-color.png)
+
+
+---

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