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README.md

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+---
+license: mit
+tags:
+- adaptive-msc
+- rag-dataset
+- faiss
+- retrieval
+---
+
+# Adaptive MSC V7 Research Artifacts
+
+This repository contains the datasets, retrieval indices, and experimental results for the Adaptive MSC V7 project.
+
+## Contents
+
+### 1. Labeled Datasets (`datasets/`)
+Gold labels for MSC (sufficiency and importance) generated using teacher-labeling on HotpotQA, MuSiQue, 2WikiMultiHop, and MRAG.
+
+### 2. Retrieval System (`indices/`)
+Full retrieval-ready files for replicating experiments:
+- `*.faiss`: Contriever-based FAISS indices.
+- `*_corpus.jsonl`: Corresponding document corpora.
+
+### 3. Sweep Results (`sweep_results_v7/`)
+Raw JSON outputs and summaries from the hyperparameter sweep (Alpha optimization).
+
+## How to Reproduce Retrieval
+
+To use the retrieval system in your own code:
+
+```python
+from huggingface_hub import hf_hub_download
+import faiss
+import json
+
+# Example: Download HotpotQA Retrieval Index
+faiss_path = hf_hub_download(repo_id="DanielJeongsooLee/adaptive-msc-v7-artifacts", filename="indices/hotpot_contriever.faiss", repo_type="dataset")
+corpus_path = hf_hub_download(repo_id="DanielJeongsooLee/adaptive-msc-v7-artifacts", filename="indices/hotpot_corpus.jsonl", repo_type="dataset")
+
+# Load Index
+index = faiss.read_index(faiss_path)
+
+# Load Corpus
+with open(corpus_path, "r") as f:
+    corpus = [json.loads(line) for line in f]
+```