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--- |
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license: openrail |
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task_categories: |
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- text-classification |
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language: |
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- en |
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tags: |
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- finance |
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pretty_name: Cryptonews.com articles with price momentum labels |
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size_categories: |
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- 10K<n<100K |
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--- |
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# Dataset Card for Cryptonews articles with price momentum labels |
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## Table of Contents |
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- [Table of Contents](#table-of-contents) |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
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- [Data Splits](#data-splits) |
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## Dataset Description |
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- **Homepage:** |
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- **Repository:** https://github.com/SahandNZ/IUST-NLP-project-spring-2023 |
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- **Paper:** |
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- **Leaderboard:** |
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- **Point of Contact:** |
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### Dataset Summary |
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The dataset was gathered from two prominent sources in the cryptocurrency industry: Cryptonews.com and Binance.com. The aim of the dataset was to evaluate the impact of news on crypto price movements. |
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As we know, news events such as regulatory changes, technological advancements, and major partnerships can have a significant impact on the price of cryptocurrencies. By analyzing the data collected from these sources, this dataset aimed to provide insights into the relationship between news events and crypto market trends. |
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### Supported Tasks and Leaderboards |
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- **Text Classification** |
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- **Sentiment Analysis** |
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### Languages |
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The language data in this dataset is in English (BCP-47 en) |
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## Dataset Structure |
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### Data Instances |
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Todo |
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### Data Fields |
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Todo |
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### Data Splits |
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Todo |
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### Source Data |
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- **Textual:** https://Cryptonews.com |
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- **Numerical:** https://Binance.com |
