Upload 5 files

README.md

@@ -0,0 +1,39 @@
+# 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
+
+```python
+from datasets import load_dataset
+
+# Load the Mixed Context dataset
+dataset = load_dataset("Michaelyya/wximpactbench")
+
+# Access splits
+train_data = dataset["train"]
+val_data = dataset["validation"]
+test_data = dataset["test"]
+```

dataset_info.json

@@ -0,0 +1,72 @@
+{
+  "dataset_name": "wx-impact-bench-mixed-ctx",
+  "description": "Mixed Context Weather Impact Benchmark Dataset for Multi-label Classification",
+  "version": "1.0.0",
+  "created_date": "2025-08-22T22:30:09.072889",
+  "license": "CC BY 4.0",
+  "homepage": "https://github.com/your-repo/wx-impact-bench",
+  "citation": "@dataset{wx_impact_bench_mixed_ctx,\n            title={WX Impact Benchmark: Mixed Context Dataset for Weather Impact Assessment},\n            author={Your Name},\n            year={2024},\n            publisher={Hugging Face}\n        }",
+  "features": {
+    "id": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "date": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "time_period": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "weather_type": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "text": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "infrastructural_impact": {
+      "dtype": "int64",
+      "_type": "Value"
+    },
+    "political_impact": {
+      "dtype": "int64",
+      "_type": "Value"
+    },
+    "financial_impact": {
+      "dtype": "int64",
+      "_type": "Value"
+    },
+    "ecological_impact": {
+      "dtype": "int64",
+      "_type": "Value"
+    },
+    "agricultural_impact": {
+      "dtype": "int64",
+      "_type": "Value"
+    },
+    "human_health_impact": {
+      "dtype": "int64",
+      "_type": "Value"
+    }
+  },
+  "splits": {
+    "train": {
+      "name": "train",
+      "num_bytes": 0,
+      "num_examples": 970
+    },
+    "validation": {
+      "name": "validation",
+      "num_bytes": 0,
+      "num_examples": 208
+    },
+    "test": {
+      "name": "test",
+      "num_bytes": 0,
+      "num_examples": 208
+    }
+  }
+}