Datasetpublic

KJ-Min/APT-RAG-artifacts

APT-RAG Artifacts Prebuilt Wikipedia passage corpus and FAISS indexes for A Tree-based RAG Framework for Evidence-Intensive QA via Adaptive Planning and Topology-Aware Evidence Gathering (Findings of EMNLP 2026). Paper | Code Contents Path Contents Size corpus/monaco/corpus_1M.jsonl.gz MoNaCo 1M Wikipedia passages 451 MB vectorDB/monaco/ MoNaCo FAISS HNSW index (Qwen/Qwen3-Embedding-0.6B) 3.1 GB vectorDB/qampari/ QAMPARI FAISS HNSW index… See the full description on the dataset page: https://huggingface.co/datasets/KJ-Min/APT-RAG-artifacts.

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Dataset Card

APT-RAG Artifacts

Prebuilt Wikipedia passage corpus and FAISS indexes for A Tree-based RAG Framework for Evidence-Intensive QA via Adaptive Planning and Topology-Aware Evidence Gathering (Findings of EMNLP 2026).

Paper | Code

Path	Contents	Size
`corpus/monaco/corpus_1M.jsonl.gz`	MoNaCo 1M Wikipedia passages	451 MB
`vectorDB/monaco/`	MoNaCo FAISS HNSW index (`Qwen/Qwen3-Embedding-0.6B`)	3.1 GB
`vectorDB/qampari/`	QAMPARI FAISS HNSW index (`Qwen/Qwen3-Embedding-0.6B`)	58 GB

How to use

bash

hf download KJ-Min/APT-RAG-artifacts --repo-type dataset --local-dir data/artifacts
gzip -dc data/artifacts/corpus/monaco/corpus_1M.jsonl.gz \
  > data/artifacts/corpus/monaco/corpus_1M.jsonl

Expected layout:

data/artifacts/
  corpus/monaco/corpus_1M.jsonl
  vectorDB/monaco/index.pkl
  vectorDB/monaco/hnsw_sq8/hnsw.index
  vectorDB/monaco/hnsw_sq8/metadata_hnsw.json
  vectorDB/qampari/index.pkl
  vectorDB/qampari/hnsw_sq8/hnsw.index
  vectorDB/qampari/hnsw_sq8/metadata_hnsw.json

License

Released under CC BY-SA 4.0.

The text is from Wikipedia contributors, English Wikipedia.

—MoNaCo corpus: January 2026 English Wikipedia dump (enwiki-20260101-pages-articles-multistream.xml.bz2). Data dump torrents (English Wikipedia)
—QAMPARI index: official QAMPARI chunked Wikipedia dump (QAMPARI), derived from English Wikipedia.

Please retain the CC BY-SA 4.0 notice and Wikipedia attribution.

Citation

bibtex

@inproceedings{lee-etal-2026-apt-rag,
  title     = {A Tree-based {RAG} Framework for Evidence-Intensive {QA} via Adaptive Planning and Topology-Aware Evidence Gathering},
  author    = {Lee, Songeun and Min, Kyungjin and Na, Injae and Lee, Suyeong and Kim, Chiyoung and Jung, Woohwan},
  booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2026},
  year      = {2026},
  note      = {To appear}
}