
# Dataset Card for Cryptonews articles with price momentum labels
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)

## Dataset Description
- **Homepage:** 
- **Repository:** https://github.com/SahandNZ/IUST-NLP-project-spring-2023
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**

### Dataset Summary
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.
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.

### Supported Tasks and Leaderboards
- **Text Classification**
- **Sentiment Analysis**

### Languages
The language data in this dataset is in English (BCP-47 en)

## Dataset Structure

### Data Instances
Todo

### Data Fields
Todo

### Data Splits
Todo

### Source Data
- **Textual:** https://Cryptonews.com
- **Numerical:** https://Binance.com
task_categories:text-classification size_categories:10K<n<100K language:en license:openrail finance region:us
{"language": ["en"], "license": "openrail", "size_categories": ["10K<n<100K"], "task_categories": ["text-classification"], "pretty_name": "Cryptonews.com articles with price momentum labels", "tags": ["finance"]}
TAGS
#task_categories-text-classification #size_categories-10K<n<100K #language-English #license-openrail #finance #region-us 


# Dataset Card for Cryptonews articles with price momentum labels
## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits

## Dataset Description
- Homepage: 
- Repository: URL
- Paper:
- Leaderboard:
- Point of Contact:

### Dataset Summary
The dataset was gathered from two prominent sources in the cryptocurrency industry: URL and URL. The aim of the dataset was to evaluate the impact of news on crypto price movements.
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.

### Supported Tasks and Leaderboards
- Text Classification
- Sentiment Analysis

### Languages
The language data in this dataset is in English (BCP-47 en)

## Dataset Structure

### Data Instances
Todo

### Data Fields
Todo

### Data Splits
Todo

### Source Data
- Textual: URL
- Numerical: URL
# Dataset Card for Cryptonews articles with price momentum labels ## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits ## Dataset Description
- Homepage: 
- Repository: URL
- Paper:
- Leaderboard:
- Point of Contact: ### Dataset Summary
The dataset was gathered from two prominent sources in the cryptocurrency industry: URL and URL. The aim of the dataset was to evaluate the impact of news on crypto price movements.
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. ### Supported Tasks and Leaderboards
- Text Classification
- Sentiment Analysis ### Languages
The language data in this dataset is in English (BCP-47 en) ## Dataset Structure ### Data Instances
Todo ### Data Fields
Todo ### Data Splits
Todo ### Source Data
- Textual: URL
- Numerical: URL
TAGS
#task_categories-text-classification #size_categories-10K<n<100K #language-English #license-openrail #finance #region-us 
 # Dataset Card for Cryptonews articles with price momentum labels ## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits ## Dataset Description
- Homepage: 
- Repository: URL
- Paper:
- Leaderboard:
- Point of Contact: ### Dataset Summary
The dataset was gathered from two prominent sources in the cryptocurrency industry: URL and URL. The aim of the dataset was to evaluate the impact of news on crypto price movements.
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. ### Supported Tasks and Leaderboards
- Text Classification
- Sentiment Analysis ### Languages
The language data in this dataset is in English (BCP-47 en) ## Dataset Structure ### Data Instances
Todo ### Data Fields
Todo ### Data Splits
Todo ### Source Data
- Textual: URL
- Numerical: URL
passage: TAGS
#task_categories-text-classification #size_categories-10K<n<100K #language-English #license-openrail #finance #region-us 
# Dataset Card for Cryptonews articles with price momentum labels## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits## Dataset Description
- Homepage: 
- Repository: URL
- Paper:
- Leaderboard:
- Point of Contact:### Dataset Summary
The dataset was gathered from two prominent sources in the cryptocurrency industry: URL and URL. The aim of the dataset was to evaluate the impact of news on crypto price movements.
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.### Supported Tasks and Leaderboards
- Text Classification
- Sentiment Analysis### Languages
The language data in this dataset is in English (BCP-47 en)## Dataset Structure### Data Instances
Todo### Data Fields
Todo### Data Splits
Todo### Source Data
- Textual: URL
- Numerical: URL