metadata
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.