reallexi/lexi-coder-v3-datasest
lexi-coder-v3-datasest lexi-coder-v3-datasest by Reallexi LLC AI Model Builder — llm.reallexi.io Copyright (c) 2026 Reallexi LLC. All rights reserved. A retrieval index built by Reallexi AI Model Builder: source text chunked, embedded, and stored for nearest-neighbor retrieval. This is not a causal-language-model checkpoint and cannot be loaded with AutoModelForCausalLM. Contents Source data lizn-zn/CodeNet_Extracted Documents indexed 1,000,000… See the full description on the dataset page: https://huggingface.co/datasets/reallexi/lexi-coder-v3-datasest.
lexi-coder-v3-datasest
lexi-coder-v3-datasest by Reallexi LLC AI Model Builder — llm.reallexi.io
Copyright (c) 2026 Reallexi LLC. All rights reserved.
A retrieval index built by Reallexi AI Model Builder: source text chunked, embedded, and stored for nearest-neighbor retrieval. This is not a causal-language-model checkpoint and cannot be loaded with AutoModelForCausalLM.
Contents
Files
COPYRIGHT.mdNOTICErag_index.jsonlrag_index.sqlite
rag_index.jsonl holds one JSON object per chunk (text and source indices), one line per row. rag_index.sqlite holds the same chunks plus their embedding vectors in a queryable chunks table -- the embeddings are not duplicated into the JSONL.
Usage
import json
with open("rag_index.jsonl") as handle:
rows = [json.loads(line) for line in handle]License and attribution
The effective terms are inherited from the source data, which is not necessarily the same as this project's own license. Review it before redistributing.
- Source data: `lizn-zn/CodeNet_Extracted`
Copyright (c) 2026 Reallexi LLC. All rights reserved.
Produced by Reallexi LLC AI Model Builder from indexing job #1623. Core: https://llm.reallexi.io
Who, where, and what platform trained this?
Produced by Reallexi LLC on Reallexi AI Model Builder, a local-first training platform (https://llm.reallexi.io). Hugging Face repository: reallexi/lexi-coder-v3-datasest. Copyright (c) 2026 Reallexi LLC. All rights reserved.
