| ---
|
| license: mit
|
| task_categories:
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| - question-answering
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| - sentence-similarity
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| language:
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| - en
|
| tags:
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| - retrieval
|
| - rag
|
| - reranking
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| - information-retrieval
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| pretty_name: Tiny RAG with Reranking (eval set + chunk sample)
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| size_categories:
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| - n<1K
|
| ---
|
|
|
| # tiny-rag-with-reranking
|
|
|
| A tiny retrieval / question-answering evaluation set plus a sample of a chunked
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| public-domain corpus, used by the
|
| [tiny-rag-with-reranking](https://github.com/narinzar/tiny-rag-with-reranking)
|
| RAG pipeline (bi-encoder retrieval + cross-encoder reranking, with a chunk-size
|
| sweep).
|
|
|
| ## Task
|
|
|
| Question answering / passage retrieval. Each query carries one or more short
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| answer substrings; a retrieved passage is judged relevant if it contains any
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| answer substring (case- and whitespace-insensitive). This substring labeling
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| keeps relevance valid regardless of how the corpus is chunked.
|
|
|
| ## Files
|
|
|
| - `qa.json` — the evaluation set: 12 queries, each with a `question`, one or
|
| more `answers` (relevant-passage substrings), and the `source` document.
|
| - `chunks_sample.json` — a 60-chunk sample (of 902 total in
|
| the full build) of the chunked corpus, each with `doc`, character offsets
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| `start`/`end`, and `text`. Produced by the adaptive chunker at target size 128.
|
|
|
| ## Generation method
|
|
|
| The corpus is public-domain plaintext from Project Gutenberg (Alice's Adventures
|
| in Wonderland, The Time Machine, A Study in Scarlet), with license headers and
|
| footers stripped, then chunked with an adaptive sentence-merging strategy. The
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| query/relevant-passage labels in `qa.json` are hand-written: canonical phrases
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| drawn verbatim from the corpus so they stay stable across chunkings.
|
|
|
| ## Measured results (small-scale benchmark, single RTX 5090)
|
|
|
| Bi-encoder `all-MiniLM-L6-v2` retrieval vs adding cross-encoder
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| `ms-marco-MiniLM-L-6-v2` reranking, retrieve top-20, metric @k=5:
|
|
|
| | stage | precision@5 | recall@5 |
|
| |------------------------|-------------|----------|
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| | bi-encoder only | 0.1333 | 0.0650 |
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| | + cross-encoder rerank | 0.2000 | 0.1394 |
|
|
|
| Chunk-size sweep best size by precision@5: 512.
|
|
|
| ## License
|
|
|
| MIT. Underlying source texts are public domain (Project Gutenberg).
|
|
|
