croissant file added

croissant.json

@@ -0,0 +1,78 @@
+{
+  "@context": "https://w3id.org/croissant/v1",
+  "@type": "Dataset",
+
+  "name": "NDL Core RAG Index",
+  "description": "A retrieval-augmented generation (RAG) index built over the NDL Core Corpus. The dataset contains pre-computed text chunks with source identifiers and a FAISS vector index to enable semantic retrieval without recomputing embeddings.",
+
+  "creator": {
+    "@type": "Organization",
+    "name": "The Open Data Institute"
+  },
+
+  "publisher": {
+    "@type": "Organization",
+    "name": "The Open Data Institute"
+  },
+
+  "license": {
+    "@type": "CreativeWork",
+    "name": "Open Government Licence v3.0",
+    "url": "https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"
+  },
+
+  "conditionsOfAccess": "Open access. This dataset contains derived representations (text chunks and embeddings) of public sector data. Original source records retain their own licence references in the source dataset.",
+
+  "keywords": [
+    "retrieval augmented generation",
+    "rag",
+    "faiss",
+    "vector index",
+    "ai-ready data",
+    "national data library",
+    "semantic search"
+  ],
+
+  "distribution": [
+    {
+      "@type": "FileObject",
+      "name": "chunks.parquet",
+      "description": "Parquet file containing text chunks and metadata, including identifiers linking each chunk to its original source record.",
+      "contentUrl": "chunks.parquet",
+      "encodingFormat": "application/parquet"
+    },
+    {
+      "@type": "FileObject",
+      "name": "index.faiss",
+      "description": "FAISS vector index built over the embeddings of the text chunks to support fast semantic retrieval.",
+      "contentUrl": "index.faiss",
+      "encodingFormat": "application/octet-stream"
+    },
+    {
+      "@type": "FileObject",
+      "name": "rag_config.json",
+      "description": "Machine-readable configuration describing the embedding model, chunking strategy, and index construction parameters.",
+      "contentUrl": "rag_config.json",
+      "encodingFormat": "application/json"
+    }
+  ],
+
+  "isBasedOn": {
+    "@type": "Dataset",
+    "name": "NDL Core Corpus",
+    "url": "https://huggingface.co/datasets/hkir-dev/ndl-core-corpus"
+  },
+
+  "intendedUse": [
+    "Retrieval-augmented generation",
+    "Semantic search",
+    "AI agent knowledge access",
+    "Policy and public sector AI experimentation"
+  ],
+
+  "limitations": "This RAG index is a static snapshot and reflects the state of the underlying source corpus at the time of index construction. It is not updated in real time.",
+
+  "conformsTo": [
+    "https://w3id.org/croissant"
+  ]
+}