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metadata
tags:
  - cryptocurrency
  - crypto
  - market-data
  - real-time
  - data-hub
license: mit
dataset_info:
  features:
    - name: metric
      dtype: string
    - name: value
      dtype: float64
    - name: classification
      dtype: string
    - name: source
      dtype: string
    - name: source_id
      dtype: string
    - name: timestamp
      dtype: string
    - name: fetched_at
      dtype: string
  splits:
    - name: train
      num_bytes: 11259
      num_examples: 81
  download_size: 5007
  dataset_size: 11259
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

Really-amin/crypto-sentiment-data

Cryptocurrency market sentiment indicators from multiple sources

Data Source

This dataset is automatically updated from real cryptocurrency APIs:

  • CoinGecko API (market data)
  • Binance API (OHLC data)

Update Frequency

Data is updated every 60 seconds with real-time information.

Usage

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("Really-amin/crypto-sentiment-data")

# Access data
df = dataset['train'].to_pandas()
print(df.head())

Data Hub Architecture

External APIs → Data Hub → HuggingFace Datasets → Clients

All data is real - no mock or fake data.

Last Updated

2025-12-06T04:06:13.406972Z