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." | |