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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.

sourceHugging Faceotherupdated 2mo agoView on Hugging Face
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Dataset Card

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 indexed1,000,000
Chunks stored1,259,736
Chunk size / overlap1024 / 256 characters
Embedding modelBAAI/bge-small-en-v1.5
Reranker modelBAAI/bge-reranker-base

Files

  • COPYRIGHT.md
  • NOTICE
  • rag_index.jsonl
  • rag_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

python
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.

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.