Complete model files and documentation

MANIFEST_SHA256.txt

@@ -0,0 +1,44 @@
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README.md

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 ---
 license: apache-2.0
+language:
+  - zh
+  - en
+pretty_name: ScholarSearchAgent Auxiliary Models
+tags:
+  - information-retrieval
+  - reranking
+  - text-classification
+  - lora
+  - academic-search
 ---
+
+# ScholarSearchAgent Auxiliary Models
+
+This dataset repository hosts the trained auxiliary model artifacts used by
+ScholarSearchAgent, an intelligent academic paper search and recommendation
+system for complex research queries.
+
+Source code: <https://github.com/Kaedeser/ScholarSearchAgent>
+
+## Download And Restore
+
+The complete model bundle is stored as 200 MiB archive parts named
+`ScholarSearchAgentAuxiliaryModel_20260723.tar.part0001`,
+`ScholarSearchAgentAuxiliaryModel_20260723.tar.part0002`, and so on. Download
+all parts in numerical order, concatenate them, verify the SHA-256 value, then
+extract the resulting TAR archive.
+
+PowerShell:
+
+```powershell
+Get-ChildItem "ScholarSearchAgentAuxiliaryModel_20260723.tar.part*" |
+  Sort-Object Name |
+  Get-Content -AsByteStream |
+  Set-Content -AsByteStream "ScholarSearchAgentAuxiliaryModel_20260723.tar"
+
+Get-FileHash "ScholarSearchAgentAuxiliaryModel_20260723.tar" -Algorithm SHA256
+tar -xf "ScholarSearchAgentAuxiliaryModel_20260723.tar"
+```
+
+Expected SHA-256:
+
+```text
+c15830db9b3c126d584b1ffbdef17cd70a4101d20470ad78661eb883b4fe4a46
+```
+
+## Included Models
+
+| Directory after extraction | Purpose | Model form | Reported result |
+| --- | --- | --- |
+| `models/query_gate_biobert` | Detect whether a query should enter the academic-search pipeline | BioBERT sequence classifier | Test accuracy: 0.997143 |
+| `models/intent_biobert` | Classify academic search intent | BioBERT sequence classifier | See packaged training metadata |
+| `models/selector_reranker` | Rerank recalled paper candidates | Sentence Transformers CrossEncoder | F1: 88.81% |
+| `models/crawler_strategy_lora` | Select section-expansion strategies | Qwen2.5-3B-Instruct LoRA adapter | Section F1: 0.3007 |
+
+The crawler strategy artifact is a LoRA adapter. The public
+`Qwen2.5-3B-Instruct` base model is not redistributed in this repository and
+must be obtained separately under its original license.
+
+## Data And Privacy
+
+The archive contains model weights, tokenizer/configuration files, and training
+metadata required for inference. It does not contain API keys, passwords,
+private endpoints, raw training datasets, source-code history, or participant
+identity information.

ScholarSearchAgentAuxiliaryModel_20260723.tar.sha256

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2f67a306f43771792d4d05fc3ccacb367a59ea300f0171ab8c729206a07c82b4
+size 113