Baselight

Crypto Headlines + NER Model

Named Entity Recognition Model trained on Crypto News from Newspapers

@kaggle.kaballa_cryptoner_ml_model

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About this Dataset

Crypto Headlines + NER Model

Over 26,000 headlines from dozens of different newspapers about blockchain and cryptocurrency-related topics.
The .csv file includes data about all articles. Sort language column by "en" or "de" to filter.

The dataset also contains .spacy files with labelled data to train a named entity recognition model with the entities: Person, Organisation and Cryptocurrencies.

Tables

Articlesdata

@kaggle.kaballa_cryptoner_ml_model.articlesdata
  • 5.11 MB
  • 26751 rows
  • 12 columns
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CREATE TABLE articlesdata (
  "unnamed_0" BIGINT,
  "n__id" VARCHAR,
  "id" BIGINT,
  "domain" VARCHAR,
  "source" VARCHAR,
  "title" VARCHAR,
  "date" VARCHAR,
  "slug" VARCHAR,
  "currencies" VARCHAR,
  "url" VARCHAR,
  "created_at" VARCHAR,
  "language" VARCHAR
);

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