README.md

metadata

license: mit
annotations_creators:
  - user-generated
language:
  - en
task_categories:
  - text-classification
dataset_info:
  features:
    - name: id
      dtype: string
      description: Unique identifier for each article
    - name: date
      dtype: string
      description: Date of the article
    - name: time_period
      dtype: string
      description: Historical period classification
    - name: weather_type
      dtype: string
      description: Type of weather event
    - name: text
      dtype: string
      description: Article text content
    - name: infrastructural_impact
      dtype: int64
      description: Binary label for infrastructural impact (0 or 1)
    - name: political_impact
      dtype: int64
      description: Binary label for political impact (0 or 1)
    - name: financial_impact
      dtype: int64
      description: Binary label for financial impact (0 or 1)
    - name: ecological_impact
      dtype: int64
      description: Binary label for ecological impact (0 or 1)
    - name: agricultural_impact
      dtype: int64
      description: Binary label for agricultural impact (0 or 1)
    - name: human_health_impact
      dtype: int64
      description: Binary label for human health impact (0 or 1)
  splits:
    train:
      name: train
      num_bytes: 3300000
      num_examples: 970
    validation:
      name: validation
      num_bytes: 669000
      num_examples: 208
    test:
      name: test
      num_bytes: 582000
      num_examples: 208
  download_size: 4551000
  dataset_size: 4551000
  configs:
    - config_name: default
      data_files:
        - split: train
          path: train.csv
        - split: validation
          path: validation.csv
        - split: test
          path: test.csv
size_categories:
  - 1K<n<10K

WX Impact Benchmark - Mixed Context Dataset

This dataset contains the Mixed Context Weather Impact Benchmark Dataset with multi-label impact classifications.

Dataset Description

This is the MixedCTX_Dataset(1386) subset of the WX Impact Benchmark, containing weather-related articles with various context lengths and complexity levels.

• Train set: Training data for model development
• Validation set: Validation data for hyperparameter tuning
• Test set: Test data for final evaluation

Features

• id: Unique identifier for each article
• date: Date of the article
• time_period: Historical period classification
• weather_type: Type of weather event
• text: Article text content
• infrastructural_impact: Binary label for infrastructural impact
• political_impact: Binary label for political impact
• financial_impact: Binary label for financial impact
• ecological_impact: Binary label for ecological impact
• agricultural_impact: Binary label for agricultural impact
• human_health_impact: Binary label for human health impact

Usage

from datasets import load_dataset

# Load the Mixed Context dataset
dataset = load_dataset("Michaelyya/wximpactbench-1386")

# Access splits
train_data = dataset["train"]
val_data = dataset["validation"]
test_data = dataset["test"]

Cite

@misc{yu2025wximpactbenchdisruptiveweatherimpact, title={WXImpactBench: A Disruptive Weather Impact Understanding Benchmark for Evaluating Large Language Models}, author={Yongan Yu and Qingchen Hu and Xianda Du and Jiayin Wang and Fengran Mo and Renee Sieber}, year={2025}, eprint={2505.20249}, archivePrefix={arXiv}, primaryClass={cs.CL}, url={https://arxiv.org/abs/2505.20249}, }