File size: 2,405 Bytes
6fbeb3f 6eea764 6fbeb3f 6eea764 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 | ---
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.
|