Add dataset card with documentation

README.md

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+---
+license: cc-by-sa-3.0
+task_categories:
+- text-generation
+- feature-extraction
+language:
+- en
+tags:
+- rdf
+- knowledge-graph
+- semantic-web
+- triples
+size_categories:
+- 1K<n<10K
+---
+
+# Schema.org
+
+## Dataset Description
+
+Vocabulary schemas for structured data on the web
+
+**Original Source:** https://schema.org/version/latest/schemaorg-current-https.ttl
+
+### Dataset Summary
+
+This dataset contains RDF triples from Schema.org converted to HuggingFace
+dataset format for easy use in machine learning pipelines.
+
+- **Format:** Originally turtle, converted to HuggingFace Dataset
+- **Size:** 0.01 GB (extracted)
+- **Entities:** ~2K types
+- **Triples:** ~15K
+- **Original License:** CC BY-SA 3.0
+
+### Recommended Use
+
+Ontology understanding, vocabulary learning, small-scale testing
+
+### Notes
+
+Direct download, no extraction needed
+
+## RDF Format
+
+This dataset uses a standard lossless format for representing RDF triples. Each triple is a row with 6 fields:
+- `subject`: Subject URI or blank node
+- `predicate`: Predicate URI
+- `object`: Object value (URI, literal, or blank node)
+- `object_type`: Type of object (`uri`, `literal`, or `blank_node`)
+- `object_datatype`: XSD datatype URI (for typed literals)
+- `object_language`: Language tag (for language-tagged literals)
+
+### Loading the Dataset
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("schema-org")
+for row in dataset["train"]:
+    print(f"{row['subject']} {row['predicate']} {row['object']}")
+```
+
+## Citation
+
+If you use this dataset, please cite the original source:
+
+**Dataset:** Schema.org
+**URL:** https://schema.org/version/latest/schemaorg-current-https.ttl
+**License:** CC BY-SA 3.0
+
+## Conversion Details
+
+- **Converted using:** [RDF to HuggingFace Incremental Converter](https://github.com/CleverThis/cleverernie)
+- **Conversion date:** 2026-01-13
+- **Format version:** 1.0
+
+---
+
+This dataset is part of the CleverThis knowledge graph collection.