maryamfakhari/crypto-news-coindesk-2020-2025

CoinDesk Cryptocurrency News Dataset (2020–2025)

This dataset contains cryptocurrency-related news articles sourced from CoinDesk Data, accessed programmatically via the CryptoCompare API. The dataset is curated and published for academic and research purposes, with a focus on analyzing the relationship between news and cryptocurrency market dynamics.

Time Period

January 1, 2020 – January 1, 2025

Content Overview

Each record in the dataset corresponds to a single news article and includes:

• Unique identifiers (e.g., id, guid)
• Publication timestamp
• Article title and body text
• Source and URL
• Tags and categories
• User engagement indicators (upvotes and downvotes)

The dataset primarily focuses on news related to major cryptocurrencies, including Bitcoin and Ethereum, while also covering broader cryptocurrency market developments.

Data Source

• Data Owner: CoinDesk Data
• Access Method: CryptoCompare API

CryptoCompare was used solely as a data access layer. All news content originates from CoinDesk Data.

Intended Use

This dataset is intended for:

• Academic research
• Cryptocurrency market analysis
• News impact modeling
• Financial time series and forecasting studies

The dataset is not intended for commercial redistribution or resale.

License and Permissions

This dataset is shared with permission for academic and research use. Users must provide appropriate attribution to both the original data source and the dataset publication.

Citation

If you use this dataset in your research or publications, please cite both of the following:

1. Original data source

   CoinDesk Data. Cryptocurrency News Dataset (2020–2025). Accessed via the CryptoCompare API.

2. This Hugging Face dataset

   Fakhari, M. CoinDesk Cryptocurrency News Dataset (2020–2025). Hugging Face Datasets.
   https://huggingface.co/datasets/maryamfakhari/coindesk-crypto-news-2020-2025

A formal academic citation (BibTeX) and related research publications will be added in future updates.

Updates and Extensions

Future versions of this dataset may include extended time periods or enriched variants, such as datasets containing large language model (LLM)–generated annotations and analyses derived from the news content.