Update README.md

README.md

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   - split: train
     path: data/train-*
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+
+# Grant Classification Dataset
+
+This dataset contains research grant documents classified according to a custom categorization of science, technology, and innovation (STI) policy instruments.
+
+## Dataset Description
+
+### Overview
+
+The dataset consists of research grants from various funding sources.
+Each grant is classified into one of 8 categories according to a taxonomy based on the OECD's categorization of STI policy instruments.
+
+### Data Sources
+
+- **Open Sources**: Publicly available grant data from various sources including NIH, Kohesio, CORDIS, and others
+
+### Features
+
+- `id`: Unique identifier for the grant
+- `title`: Title of the grant
+- `abstract`: Abstract or description of the grant
+- `funder`: Organization providing the funding
+- `funding_scheme`: Type of funding scheme
+- `beneficiary`: Organization or individual receiving the funding
+- `source`: Origin of the data (Dimensions or Open source)
+- `label`: Classification category (target variable)
+
+### Labels
+
+The dataset uses the following classification categories:
+
+1. **business_rnd_innovation**: Direct allocation of funding to private firms for R&D and innovation activities with commercial applications
+2. **fellowships_scholarships**: Financial support for individual researchers or higher education students
+3. **institutional_funding**: Core funding for higher education institutions and public research institutes
+4. **networking_collaborative**: Tools to bring together various actors within the innovation system
+5. **other_research_funding**: Alternative funding mechanisms for R&D or higher education
+6. **out_of_scope**: Grants unrelated to research, development, or innovation
+7. **project_grants_public**: Direct funding for specific research projects in public institutions
+8. **research_infrastructure**: Funding for research facilities, equipment, and resources
+
+### Statistics
+
+- Total examples: 2386
+- Class distribution:
+  - business_rnd_innovation: 170 (7.1% of examples)
+  - fellowships_scholarships: 342 (14.3% of examples)
+  - institutional_funding: 48 (2.0% of examples)
+  - networking_collaborative: 200 (8.4% of examples)
+  - other_research_funding: 34 (1.4% of examples)
+  - out_of_scope: 298 (12.5% of examples)
+  - project_grants_public: 1157 (48.5% of examples)
+  - research_infrastructure: 137 (5.7% of examples)
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Load the dataset
+dataset = load_dataset("SIRIS-Lab/grant-classification-dataset")
+
+# Access the data
+train_data = dataset["train"]
+validation_data = dataset["validation"]
+test_data = dataset["test"]
+
+# Example of accessing a sample
+sample = train_data[0]
+print(f"Title: {sample['title']}")
+print(f"Label: {sample['label']}")
+```