---
dataset_info:
  features:
    - name: text
      dtype: string
    - name: entities
      list:
        - name: entity
          dtype: string
        - name: value
          dtype: string
    - name: city
      dtype: string
    - name: country_code
      dtype: string
    - name: zip_code
      dtype: string
    - name: date
      dtype: string  
    - name: day
      dtype: string  
    - name: time_period
      dtype: string 
  splits:
    - name: train
      num_bytes: 344874440
      num_examples: 1429670
  download_size: 45118667
  dataset_size: 344874440
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: afl-3.0
task_categories:
  - text-generation
  - token-classification
language:
  - en
tags:
  - weather
  - climate
  - climate change
  - weather patterns
  - meteorology
  - environmental science
  - temperature data
  - precipitation
pretty_name: ClimateWeatherPredictionBot
size_categories:
  - 1M<n<10M
description: "This dataset contains city, zip code, and country code, with random days, dates, time-period and related text data, annotated for named entities relevant to weather prediction."
---