Schema

A formal description of the domain: types of entities, their properties, and relationships.
{
    "entity_types": {
        "aya": {
            "data_fields": [
                "number",
                "text"
            ]
        },
        "sura": {
            "data_fields": [
                "number",
                "name"
            ]
        },
        "document": {
            "data_fields": [
                "title"
            ]
        }
    },
    "data_fields": {
        "name": {
            "type": "categorical"
        },
        "text": {
            "type": "text"
        },
        "title": {
            "type": "categorical"
        },
        "number": {
            "type": "scalar"
        }
    },
    "relationship_fields": {
        "aya_of": {
            "source_entity_type": "aya",
            "target_entity_type": "sura"
        },
        "sura_of": {
            "source_entity_type": "sura",
            "target_entity_type": "document"
        }
    }
}
	      

StarCoder model

The AI model generated according to the schema.

Browse by entity-type

Explore the data by viewing particular entities and following their relationships to others.

Topic model

Word clouds trained on the entities and their properties.

Psychometric categories

How strongly different parts of the data use words indicative of particular psychological properties, according to the LIWC lexicon.

Dynamic plots

Choose a baseline property and see how other properties vary with respect to it.

StarCoder bottlenecks

Visualize the similarity between entities according to how the Starcoder model encodes them.